<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-07-26T00:09:59Z</responseDate><request verb="ListRecords" metadataPrefix="oai_dc">https://acikerisim.bahcesehir.edu.tr/server/oai/request</request><ListRecords><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/15291</identifier><datestamp>2025-10-09T10:49:17Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Multi-pollutant Monitoring in a Rehabilitated Estuary: Elements and Radionuclides</dc:title>
   <dc:creator>Kilic, Onder</dc:creator>
   <dc:creator>Belivermis, Murat</dc:creator>
   <dc:creator>Sezer, Narin</dc:creator>
   <dc:creator>Kalayci, Gulsah</dc:creator>
   <dc:creator>Gozel, Furkan</dc:creator>
   <dc:contributor>Istanbul University</dc:contributor>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:subject>Environmental Sciences</dc:subject>
   <dc:subject>Toxicology</dc:subject>
   <dc:subject>Elements</dc:subject>
   <dc:subject>Radionuclides</dc:subject>
   <dc:subject>Sediment</dc:subject>
   <dc:subject>Enrichment factor</dc:subject>
   <dc:subject>Golden Horn</dc:subject>
   <dc:subject>MUSSELS MYTILUS-GALLOPROVINCIALIS</dc:subject>
   <dc:subject>METAL CONCENTRATIONS</dc:subject>
   <dc:subject>GOLDEN HORN</dc:subject>
   <dc:subject>SURFACE SEDIMENTS</dc:subject>
   <dc:subject>MARINE-SEDIMENTS</dc:subject>
   <dc:subject>TRACE-METALS</dc:subject>
   <dc:subject>IZMIT BAY</dc:subject>
   <dc:subject>PB-210</dc:subject>
   <dc:subject>BOSPORUS</dc:subject>
   <dc:subject>PO-210</dc:subject>
   <dc:description>The Golden Horn Estuary, Istanbul, Turkey, had been exposed to untreated industrial discharges and municipal wastewater for over fifty years, however, during the last fifteen years pollution has been reduced due to an extensive rehabilitation campaign. Since sediment is the main accumulation matrix of marine ecosystems, surface sediment samples were collected from the estuary and analyzed for concentrations of some elements and radioactivity. The elements of predominant anthropogenic origin such as As, Cu, Pb, Sb, Sn and Zn and Cs-137 were observed in the mid-estuary. Also, elevated geoaccumulation indices for Ag, Cd, Cu and Sb showed that pollution was still occurring in the estuary despite the rehabilitation. There is a huge residential area near the estuary, therefore, people living in this area are affected due to the pollution of the estuary. Thus, the obtained data of the elements and radionuclides are very important for the ecosystem of the Golden Horn.</dc:description>
   <dc:date>2025-10-09T10:49:17Z</dc:date>
   <dc:date>2019</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>0007-4861</dc:identifier>
   <dc:identifier>1432-0800</dc:identifier>
   <dc:identifier>http://dx.doi.org/10.1007/s00128-019-02636-8</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/15291</dc:identifier>
   <dc:identifier>10.1007/s00128-019-02636-8</dc:identifier>
   <dc:identifier>354</dc:identifier>
   <dc:identifier>361</dc:identifier>
   <dc:identifier>103</dc:identifier>
   <dc:identifier>2</dc:identifier>
   <dc:identifier>31119313</dc:identifier>
   <dc:identifier>Science Citation Index Expanded (SCI-EXPANDED)</dc:identifier>
   <dc:identifier>WOS:000476598000022</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY</dc:relation>
   <dc:relation>Scientific and Technological Research Council of Turkey (TUBITAK) [112Y060]</dc:relation>
   <dc:relation>Scientific Research Projects Coordination Unit of Istanbul University [26793]</dc:relation>
   <dc:relation>Scientific and Technological Research Council of Turkey (TUBITAK)(Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK))</dc:relation>
   <dc:relation>Scientific Research Projects Coordination Unit of Istanbul University(Istanbul University)</dc:relation>
   <dc:relation>This research was supported by the Scientific and Technological Research Council of Turkey (TUBITAK, Project Number: 112Y060) and by the Scientific Research Projects Coordination Unit of Istanbul University (Project Number: 26793).</dc:relation>
   <dc:publisher>SPRINGER</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/1505</identifier><datestamp>2025-06-02T11:22:22Z</datestamp><setSpec>com_20.500.14719_11</setSpec><setSpec>col_20.500.14719_1762</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Teknik öğretmenlerin eğitimde bilgi teknolojileri kullanım yeterliliklerinin belirlenmesi</dc:title>
   <dc:creator>Bilgin, Hasan</dc:creator>
   <dc:contributor>Uzunboylu, Hüseyin</dc:contributor>
   <dc:subject>Information technologies</dc:subject>
   <dc:subject>Self-sufficiency</dc:subject>
   <dc:subject>E-learning</dc:subject>
   <dc:subject>Technical education</dc:subject>
   <dc:subject>Bilgi teknolijleri</dc:subject>
   <dc:subject>Özyeterlilik</dc:subject>
   <dc:subject>E-öğrenme</dc:subject>
   <dc:subject>Teknik öğretmen</dc:subject>
   <dc:description>Bilgi teknolojilerinin hızlı bir şekilde hayatımızın her alanına girmesiyle eğitim sistemlerininde bu değişime ayak uydurması kaçınılmaz olmuştur. Eğitimde teknoloji kullanımı kalite ve verimliliği arttırmıştır. Yeni gelişme ve yatırımların ışığında klasik eğitim ortamlarıda kendini yenilemeye başlamıştır. Teknik eğitim ülkelerin ihtiyaç duyduğu ara eleman gücünün yetiştirilmesi konusunda öncelikli konulardan biridir. Yetiştirilen ara elemanın günümüz hızlı değişen bilgi teknolojileri sayesinde en güncel bilgiye en hızlı şekilde erişebilmektedir. Bu yeteneği öğrencilere kazandırmanın temel yolu öğretmenlerin bilgi teknolojilerini eğitimde etkin kullanımlarıyla gerçekleşebilecektir.&#xd;
Araştırmanın birinci bölümünde araştırma konusu, araştırma amacı, araştırma problemi, araştırma soruları, varsayımlar ve araştırmanın sınırlılıkları açıklanmaktadır.&#xd;
Araştırmanın ikinci kısmında yapılan literatür taramaları sonucundaelde edilen konu ile ilgili kaynaklar değerlendirilmiştir. Bu bölümünde başlangıç aşamasında oluşturulan araştırma soruları çerçevesinde konunun kavramsal çerçevesi ortaya koyulmuştur. Bu kısımda genel olarak teknik ve mesleki eğitimin tarihçesi tartışılmış ve günümüze kadar kullanılan teknolojik araçlar listelenmiştir.&#xd;
Araştırmanın üçüncü bölümde araştırmanın yöntemine ilişkin açıklamalar yapılmıştır. Bu bölümde konu seçimi, araştırmanın modeli, çalışma gerçekleştirilirken kullanılan yöntem ve teknikler, evren ve örneklem ile veri toplama araçları hakkında bilgiler verilmektedir.&#xd;
Araştırma ile literatürde tespit edilen teknik öğretmenöz yeterlilik boşluğu doldurulmaya çalışılmıştır. Araştırmanın anket çalışması,kâğıt üzerinde ve Limesurvey yazılımı üzerinden online olarak yapılmıştır. Anket katılımı ile ilgili duyurularelektronik posta listeleri ve çeşitli forum siteleri üzerinden gerçekleştirilmiştir. Kâğıt üzerinde toplanan formlar Limesurvey yazılımı üzerinde derlenip, ardından SPSS programı yardımıyla veriler tablolar haline getirilmiştir. Veriler demografik özellikler dikate alınarak ankete katılan teknik öğretmenlerin özyeterliliklerini ortaya koyacak şekilde tablolaştırılmıştır. Birbirinden bağımsız nicel değişkenler arasındaki sistematik ilişkilerin anlamlılığının ve aralarındaki farkların ortaya koyulmasında Mann Whitney-U ve Kruskall Wallis-H testlerinden faydalanılmıştır.&#xd;
Anket ve tablolardan elde edilem bulgular araştırmanın dördüncü bölümünü oluşturan bulguların değerlendirilmesi bölümünde yorumlanmıştır.&#xd;
Sonuç bölümünde tezin genel bir değerlendirilmesi yapılarak gelecekte yapılacak olası araştırmalar için öneriler sunulmuştur.</dc:description>
   <dc:description>By introduction of information technologies in all areas of our lives, adaption of educational systems to this change was inevitable. Use of technology in education increased quality and efficiency. In the light of new developments and investments classical education technics began to renew themselves. Technical vocational education one of the priority issues of countries to educate qualified technical staff. Today qulified technical staff can reach the most current information by information technologies.To qualify vocaitonal students with this ability, technical teachers should be able to use information technologies in education effectively.&#xd;
In the first part of the research subject of research, the purpose of research, research problem, research questions, assumptions and limitations of the study explained.&#xd;
The second part of the research includes literature scans obtained from the relevant sources. This section reveales conceptual framework of the issue depending on the research questions formed in initial stages. In this section also history of vocational education in Turkiye and use of information technologies in education discussed in general manner.&#xd;
In the third part there are explanationsabout the methodology ofthe researchstudy. In this section,subject selection, methods and techniquesused inresearch, samplingand datacollection tools presented.&#xd;
This thesis tried to fill the gap on technical teacher’s qualification with using information technologies on education field. Survey research, done on paper and online via LimeSurvey software. Announcements about the survey took place through electronic mailing lists and various forum sites. On paper surveys entered to forms on the LimeSurvey software then compiled with the help of SPSS software and converted into data tables. Data collected from survey calculated as tables depending on the technical teache’s demographic specs. Mann-Whitney U and Kruskal-Wallis-H tests utilized to introduce significance of the systematic relationships and differences between independent variables.&#xd;
On the fourthpart ofthe research,findings fromthe surveyformsand tablesare interpreted.&#xd;
Last part of this thesis includes overall conclusion on the subject and recommendations for future researches.</dc:description>
   <dc:date>2024-08-05T07:19:43Z</dc:date>
   <dc:date>2024-08-05T07:19:43Z</dc:date>
   <dc:date>2012-05</dc:date>
   <dc:type>Thesis</dc:type>
   <dc:identifier>https://hdl.handle.net/20.500.14719/1505</dc:identifier>
   <dc:language>other</dc:language>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Bahçeşehir Üniversitesi Sosyal Bilimler Enstitüsü</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/15679</identifier><datestamp>2025-10-09T10:57:01Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Institutional and Transaction Cost Influences on Partnership Structure of Foreign Affiliates</dc:title>
   <dc:creator>Demirbag, Mehmet</dc:creator>
   <dc:creator>Tatoglu, Ekrem</dc:creator>
   <dc:creator>Glaister, Keith W.</dc:creator>
   <dc:contributor>University of Sheffield</dc:contributor>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:contributor>University of Sheffield</dc:contributor>
   <dc:subject>Management</dc:subject>
   <dc:subject>Institutional variables</dc:subject>
   <dc:subject>Transaction cost variables</dc:subject>
   <dc:subject>FDI</dc:subject>
   <dc:subject>Dyadic JVs</dc:subject>
   <dc:subject>Multi-partner JVs</dc:subject>
   <dc:subject>Wholly owned subsidiaries</dc:subject>
   <dc:subject>Turkey</dc:subject>
   <dc:subject>ENTRY-MODE CHOICE</dc:subject>
   <dc:subject>JOINT VENTURES</dc:subject>
   <dc:subject>DIRECT-INVESTMENT</dc:subject>
   <dc:subject>MULTINATIONAL-ENTERPRISES</dc:subject>
   <dc:subject>INTERNATIONAL ENTRY</dc:subject>
   <dc:subject>ECLECTIC PARADIGM</dc:subject>
   <dc:subject>NATIONAL CULTURE</dc:subject>
   <dc:subject>EQUITY OWNERSHIP</dc:subject>
   <dc:subject>PERFORMANCE</dc:subject>
   <dc:subject>FIRMS</dc:subject>
   <dc:description>This paper considers the determinants of foreign affiliate structure in the context of foreign equity ventures in Turkey. Institutional variables and transaction costs variables are examined as determinants of choice between wholly owned subsidiary, dyadic joint venture and multi-partner joint venture. The findings support the majority of the hypotheses. We find that research and development (R&amp;D) intensity, cultural distance, location of affiliate, affiliate size, political risk and corruption perception distances are particularly important in determining the choice of affiliate structure. Some partial support has also been found for the impact of foreign direct investment (FDI) concentration and linguistic distance on partnership structure of foreign affiliates. No support, however, has been noted for the effect of advertising intensity of the target industry. Both transaction cost specific and institution specific variables were found to be significant in explaining affiliate formation decisions.</dc:description>
   <dc:date>2025-10-09T10:57:01Z</dc:date>
   <dc:date>2010</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>0938-8249</dc:identifier>
   <dc:identifier>1861-8901</dc:identifier>
   <dc:identifier>http://dx.doi.org/10.1007/s11575-010-0055-y</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/15679</dc:identifier>
   <dc:identifier>10.1007/s11575-010-0055-y</dc:identifier>
   <dc:identifier>709</dc:identifier>
   <dc:identifier>745</dc:identifier>
   <dc:identifier>50</dc:identifier>
   <dc:identifier>6</dc:identifier>
   <dc:identifier>Social Science Citation Index (SSCI)</dc:identifier>
   <dc:identifier>WOS:000284648000003</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>MANAGEMENT INTERNATIONAL REVIEW</dc:relation>
   <dc:publisher>SPRINGER HEIDELBERG</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/15953</identifier><datestamp>2025-10-09T11:01:11Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Eco-friendly fabrication of flexible graphene coated piezoresistive foams for motion sensing</dc:title>
   <dc:creator>Navidfar, Amir</dc:creator>
   <dc:creator>Mohamad, Omar Mohamad Abdel Aal</dc:creator>
   <dc:creator>Hejazi, Mohamad-Anas</dc:creator>
   <dc:creator>Trabzon, Levent</dc:creator>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:contributor>Istanbul Technical University</dc:contributor>
   <dc:subject>Materials Science, Multidisciplinary</dc:subject>
   <dc:subject>Graphene</dc:subject>
   <dc:subject>Conductive foams</dc:subject>
   <dc:subject>Piezoresistive foams</dc:subject>
   <dc:subject>Coating</dc:subject>
   <dc:subject>Motion sensing</dc:subject>
   <dc:subject>SENSOR</dc:subject>
   <dc:description>The progress of flexible materials processing technologies has been remarkable, driven by the growing demand for flexible, ultra-sensitive wearable sensors in applications such as myoelectric prosthetics, soft robotics, and personalized health tracking. Conductive materials coated Polydimethylsiloxane (PDMS) sponges were utilized as piezoresistive sensors. A lightweight graphene-coated piezoresistive sensor was prepared via a green solution containing graphene nanoplatelets (GNP), sodium dodecyl benzene sulfonate (SDBS), and polyvinyl alcohol (PVA). The sponges with seven times coating revealed a resistance of below 100 k ohm at 80% strain, which indicated their sensing ability. The sensor output linearly increased as the strain raised, which was analyzed using linear regression to find the gauge factor of 1.387. A cyclic test was conducted on the foam-based piezoresistive sensor, demonstrating a stable response. The prepared conductive PDMS foam was tested on three main body joints (i.e. finger, knee, and, foot) at different angles and could detect mechanical action, indicating its potential use as a body-mounted strain sensor.</dc:description>
   <dc:date>2025-10-09T11:01:11Z</dc:date>
   <dc:date>2025</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>2522-5731</dc:identifier>
   <dc:identifier>2522-574X</dc:identifier>
   <dc:identifier>http://dx.doi.org/10.1007/s42247-024-00958-w</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/15953</dc:identifier>
   <dc:identifier>10.1007/s42247-024-00958-w</dc:identifier>
   <dc:identifier>2159</dc:identifier>
   <dc:identifier>2168</dc:identifier>
   <dc:identifier>8</dc:identifier>
   <dc:identifier>3</dc:identifier>
   <dc:identifier>Emerging Sources Citation Index (ESCI)</dc:identifier>
   <dc:identifier>WOS:001380895000001</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>EMERGENT MATERIALS</dc:relation>
   <dc:relation>Scientific Research Projects Commission of Bahcesehir University</dc:relation>
   <dc:relation>Scientific Research Projects Commission of Bahcesehir University</dc:relation>
   <dc:relation>This work was funded by the Scientific Research Projects Commission of Bahcesehir University. The project number is BAP.2022 - 02.55.</dc:relation>
   <dc:publisher>SPRINGERNATURE</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/1586</identifier><datestamp>2025-08-09T06:10:01Z</datestamp><setSpec>com_20.500.14719_11</setSpec><setSpec>col_20.500.14719_1762</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Measuring the audit software usability in the audit sector by SUMI Method</dc:title>
   <dc:creator>Arslan, Barış</dc:creator>
   <dc:contributor>Karahoca, Adem</dc:contributor>
   <dc:subject>Computer assisted audit tools</dc:subject>
   <dc:subject>The big four audit firms</dc:subject>
   <dc:subject>SUMI</dc:subject>
   <dc:subject>Software usability</dc:subject>
   <dc:subject>Human computer interaction</dc:subject>
   <dc:subject>Bilgisayar destekli denetim araçları</dc:subject>
   <dc:subject>4 büyük denetim firması</dc:subject>
   <dc:subject>Yazılım kullanılabilirliği</dc:subject>
   <dc:subject>İnsan bilgisayar etkileşimi</dc:subject>
   <dc:description>Computer assisted audit tools are important for today’s audit industry. In today’s global&#xd;
and competitive business environment business is often vulnerable to fraud.&#xd;
Identification of fraud from the financials is a hard process. Audit firms need a tool&#xd;
which helps them to identify fraud and find better audit evidence. Computer assisted&#xd;
audit tools software are the programs which help auditors during the audit process. An&#xd;
important factor of this audit software is its usability.&#xd;
In this study, the Big Four audit firms, PriceWaterhouseCoopers, Ernst &amp; Young,&#xd;
Deloitte Touche Tohmatsu and KPMG’s audit software, are investigated from the point&#xd;
of view of their usability, and an attempt is made to measure the usability of the Big&#xd;
Four audit firms’ main audit software.</dc:description>
   <dc:description>Bilgisayar destekli denetim araçları günümüz denetim sektörü için büyük önem arz&#xd;
etmektedir. Günümüzün küresel ve rekabetçi iş ortamında, iş dünyası çoğu zaman&#xd;
hileye (suiistimale) başvurur. Hilenin finansal tablolara bakılarak ortaya çıkarılabilmesi&#xd;
zor bir süreçtir. Bu nedenle Denetim firmaları hileleri ve kaliteli denetim kanıtları&#xd;
bulmalarına yardımcı olacak bilgisayar destekli denetim araçlarını kullanırlar.&#xd;
Bilgisayar destekli denetim araçları denetim sürecinde denetçilere yardımcı&#xd;
programlardır. Bilgisayar destekli denetim araçlarının kullanımında en önemli faktör&#xd;
kullanım kolaylığıdır.&#xd;
Bu çalışmada, 4 büyük Denetim firması; PriceWaterhouseCoopers, Ernst &amp; Young,&#xd;
Deloitte Touche Tohmatsu ve KPMG’nin kullandığı yazılım programları kullanışlılık&#xd;
açısından araştırılmış ve 4 büyük denetim firmasının kullandığı ana denetim yazılımının&#xd;
kullanılabilirlik derecesi ölçülmeye çalışılmıştır.</dc:description>
   <dc:date>2024-08-26T11:48:11Z</dc:date>
   <dc:date>2024-08-26T11:48:11Z</dc:date>
   <dc:date>2013-06</dc:date>
   <dc:type>Thesis</dc:type>
   <dc:identifier>https://hdl.handle.net/20.500.14719/1586</dc:identifier>
   <dc:language>en</dc:language>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Bahçeşehir Üniversitesi Fen Bilimleri Enstitüsü</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/13055</identifier><datestamp>2025-10-05T16:37:45Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Capacity and association for outdoor small cell LTE-A network, A̧ik alan kü̧ük hücre LTE-A aǧlarda veri hizi ve ilişkilendirme</dc:title>
   <dc:creator>Tureli, M. S.Ufuk</dc:creator>
   <dc:creator>Tureli, Didem Kivanc</dc:creator>
   <dc:contributor>Tureli, M. S.Ufuk, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Tureli, Didem Kivanc, Istanbul Okan University, Tuzla, Turkey</dc:contributor>
   <dc:subject>Association</dc:subject>
   <dc:subject>Capacity</dc:subject>
   <dc:subject>Femto Cell</dc:subject>
   <dc:subject>Heterogenous Networks</dc:subject>
   <dc:subject>Lte-a</dc:subject>
   <dc:subject>Micro Cell</dc:subject>
   <dc:subject>Small Cell</dc:subject>
   <dc:subject>Throughput</dc:subject>
   <dc:subject>Association Reactions</dc:subject>
   <dc:subject>Heterogeneous Networks</dc:subject>
   <dc:subject>Mobile Telecommunication Systems</dc:subject>
   <dc:subject>Signal Processing</dc:subject>
   <dc:subject>Throughput</dc:subject>
   <dc:subject>Capacity</dc:subject>
   <dc:subject>Femto Cells</dc:subject>
   <dc:subject>Heterogenous Network</dc:subject>
   <dc:subject>Lte-a</dc:subject>
   <dc:subject>Micro Cell</dc:subject>
   <dc:subject>Small Cells</dc:subject>
   <dc:subject>Wireless Telecommunication Systems</dc:subject>
   <dc:subject>Association reactions</dc:subject>
   <dc:subject>Heterogeneous networks</dc:subject>
   <dc:subject>Mobile telecommunication systems</dc:subject>
   <dc:subject>Signal processing</dc:subject>
   <dc:subject>Throughput</dc:subject>
   <dc:subject>capacity</dc:subject>
   <dc:subject>Femto cells</dc:subject>
   <dc:subject>Heterogenous network</dc:subject>
   <dc:subject>LTE-A</dc:subject>
   <dc:subject>Micro cell</dc:subject>
   <dc:subject>Small cells</dc:subject>
   <dc:subject>Wireless telecommunication systems</dc:subject>
   <dc:description>This paper presents theoretical and numerical analysis of interference and throughput for Long Term Evolution Advanced (LTE-A) outdoor small cells using a detailed simulation. In the simulation program, the downlink from base station to mobile user was studied and results are shown. © 2014 IEEE. © 2014 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T16:37:45Z</dc:date>
   <dc:date>2014</dc:date>
   <dc:type>Conference Paper</dc:type>
   <dc:identifier>9781479948741</dc:identifier>
   <dc:identifier>https://doi.org/10.1109/SIU.2014.6830668</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/13055</dc:identifier>
   <dc:identifier>10.1109/SIU.2014.6830668</dc:identifier>
   <dc:identifier>2-s2.0-84903780617</dc:identifier>
   <dc:identifier>2070</dc:identifier>
   <dc:identifier>2073</dc:identifier>
   <dc:identifier>Trabzon</dc:identifier>
   <dc:identifier>2014 22nd Signal Processing and Communications Applications Conference, SIU 2014</dc:identifier>
   <dc:language>tr</dc:language>
   <dc:publisher>IEEE Computer Society help@computer.org</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/4639</identifier><datestamp>2026-06-18T18:04:28Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2015</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Vardiyalı Çalışan Hemşirelerin Beslenme Davranışları ve\rUyku Kalitelerinin İncelenmesi: Tanımlayıcı Araştırma</dc:title>
   <dc:creator>Garipoğlu, Gökçen</dc:creator>
   <dc:creator>Tekindal, Mustafa Agah</dc:creator>
   <dc:creator>Andaç Öztürk, Serap</dc:creator>
   <dc:creator>İnceoğlu, Benay</dc:creator>
   <dc:contributor>Bahçeşehir Üniversitesi</dc:contributor>
   <dc:contributor>İzmir Katip Çelebi Üniversitesi</dc:contributor>
   <dc:contributor>İstanbul Aydın Üniversitesi</dc:contributor>
   <dc:contributor>Tanımlanmamış Kurum</dc:contributor>
   <dc:subject>Beslenme ve Diyetetik</dc:subject>
   <dc:subject>Genel ve Dahili Tıp</dc:subject>
   <dc:subject>Hemşirelik</dc:subject>
   <dc:description>Amaç: Uyku-uyanıklık döngüsü, insanlarda gözlemlenen en\rtemel sirkadiyen ritimdir ve bireyin yaşam kalitesini, sağlığını önemli\rderecede etkilemektedir. Vardiyalı çalışma ve uzun süre yapay aydınlatmaya\rmaruz kalma, beslenme düzeninde de bozuklukları beraberinde\rgetirmekte, sirkadiyen ritim ile uyku kalitesini olumsuz yönde etkilemektedir.\rMevcut araştırmada, vardiyalı çalışmanın hemşirelerin uyku\rkaliteleri ve beslenme davranışlarına olan etkilerinin incelenmesi amaçlanmıştır.\rGereç ve Yöntemler: Bu araştırma, vardiyalı olarak çalışan\r103 hemşire üzerinde yürütülmüştür. Hemşirelere, vardiya süresi, kaç\ryıldır vardiyalı çalıştıkları gibi soruların yer aldığı genel bilgi sorularının\ryanı sıra uyku kalitesini değerlendirmek için Pittsburgh Uyku Kalite\rİndeksi (PUKİ), beslenme davranışlarını değerlendirmek için üç\rfaktörlü beslenme anketi uygulanmıştır. Bulgular: Hemşirelerin PUKİ\rtoplam puanı 8,46±3,24 olarak bulunmuştur. Ayda 5 gece ve altında\rvardiyalı çalışan hemşirelerin uykuya dalma sürelerinin daha kısa olduğu\r(p&amp;lt;0,01), gece vardiyasında daha sık acıkanların ise duygusal\ryeme puanlarının yüksek olduğu belirlenmiştir (p&amp;lt;0,04). Aylık gece\rvardiyası sayısı ile bireylerin yeme davranışları arasında ilişki olmadığı\r(p&amp;gt;0,05) ancak 1-3 yıldır vardiyalı çalışan hemşirelerin, bilişsel\rkısıtlama davranışlarının düşük olduğu saptanmıştır Sonuç: Vardiyalı\rçalışan hemşirelerin uyku kalitelerinin düşük olduğu, vardiya sıklığının\ruyku kalitesine etki ettiği, buna karşın aylık gece vardiya sayısı ile bireylerin\ryeme davranışları arasında ilişki olmadığı saptanmıştır. Diğer\rtaraftan vardiyalı çalışma yılının, beslenme davranışlarına yansıdığı ve\r1-3 yıldır vardiyalı çalışanlarda bilişsel kısıtlama davranışının azaldığı\rsaptanmıştır.</dc:description>
   <dc:date>2025-09-20T19:56:06Z</dc:date>
   <dc:date>2022</dc:date>
   <dc:date>2022-06-07</dc:date>
   <dc:type>Research Article</dc:type>
   <dc:identifier>2536-4391</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/4639</dc:identifier>
   <dc:identifier>10.5336/healthsci.2021-84060</dc:identifier>
   <dc:identifier>291</dc:identifier>
   <dc:identifier>298</dc:identifier>
   <dc:identifier>7</dc:identifier>
   <dc:identifier>2</dc:identifier>
   <dc:language>tr</dc:language>
   <dc:relation>Türkiye Klinikleri Sağlık Bilimleri Dergisi</dc:relation>
   <dc:format>application/pdf</dc:format>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/5588</identifier><datestamp>2026-06-18T18:04:28Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2015</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Subcutaneous Toxicity of Agmatine in Rats</dc:title>
   <dc:creator>Kaya Yertutanol, Fatma Duygu</dc:creator>
   <dc:creator>Uzbay, İsmail Tayfun</dc:creator>
   <dc:creator>Çevreli, Burcu</dc:creator>
   <dc:creator>Midi, Ahmet</dc:creator>
   <dc:contributor>Üsküdar Üniversitesi</dc:contributor>
   <dc:contributor>Üsküdar Üniversitesi</dc:contributor>
   <dc:contributor>Üsküdar Üniversitesi</dc:contributor>
   <dc:contributor>Bahçeşehir Üniversitesi</dc:contributor>
   <dc:subject>Tıbbi Araştırmalar Deneysel</dc:subject>
   <dc:subject>Toksikoloji</dc:subject>
   <dc:subject>Veterinerlik</dc:subject>
   <dc:subject>Farmakoloji ve Eczacılık</dc:subject>
   <dc:description>Amaç: Bu çalışmanın amacı sıçanlarda ilk kez tekrarlayan agmatin uygulamasının sensorimotor kapılama sistemi üzerine etkilerini incelemekti, ancak subkütan uygulamada karşımıza çıkan beklenmedik ülseratif nekrotik lezyonlar bu konuya odaklanmamıza neden oldu. Gereç ve Yöntemler: İlk grup deneylerde, erkek Wistar albino sıçanlara 14 gün süreyle subkütan yoldan agmatin (40, 80 ve 160 mg/kg) veya salin (kontrol grubu) enjeksiyonu yapıldı (n=8 her bir grup). Uygulamaların üçüncü gününden itibaren agmatin verilen gruplarda ülseratif nekrotik deri lezyonları gözlendi. Bu etkilerin dermal bir reaksiyona bağlı olup olmadığını anlamak için ayrı bir denek grubuna aynı protokolle agmatin (80 mg/kg) intraperitoneal yoldan verildi (n=8 her bir grup). Bulgular: Bulgularımız subkütan yoldan verilen agmatinin geç dönemde ortaya çıkan bir dermal reaksiyona neden olurken, intraperitoneal uygulamanın böyle bir etki oluşturmadığına işaret etti. Lezyon gözlenen deneklerden alınan deri örneklerinin histopatolojik incelemesinde, enjeksiyon yerindeki deride aseptik nekroz saptanırken, bu deneklerin kan testleri normal bulundu. Sonuç: Bu bulgu sıçanlarda uzun süreli subkütan agmatin uygulamasının denek refahı bakımından risk oluşturan toksik bir etkiye neden olduğuna işaret etmektedir. Bu bulgu insanlarda oral yoldan reçetesiz olarak alınabilen agmatinin bazı potansiyel riskleri olabileceği konusunda sorular ortaya çıkarmaktadır.</dc:description>
   <dc:date>2025-09-20T20:02:08Z</dc:date>
   <dc:date>2017</dc:date>
   <dc:date>2022-07-29</dc:date>
   <dc:type>Research Article</dc:type>
   <dc:identifier>1304-530X</dc:identifier>
   <dc:identifier>2148-6247</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/5588</dc:identifier>
   <dc:identifier>127</dc:identifier>
   <dc:identifier>133</dc:identifier>
   <dc:identifier>14</dc:identifier>
   <dc:identifier>2</dc:identifier>
   <dc:language>tr</dc:language>
   <dc:relation>Turkish Journal of Pharmaceutical Sciences</dc:relation>
   <dc:format>application/pdf</dc:format>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/17840</identifier><datestamp>2025-10-09T11:36:28Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Seroepidemiology of Hepatitis B Virus Infection in Istanbul: A 20-year Survey</dc:title>
   <dc:creator>Furuncuoglu, Yavuz</dc:creator>
   <dc:creator>Saglam, Filiz</dc:creator>
   <dc:creator>Bolukbas, Filiz Fusun</dc:creator>
   <dc:creator>Bolukbas, Cengiz</dc:creator>
   <dc:creator>Ozturk, Recep</dc:creator>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:contributor>Medical Park Hospitals Group</dc:contributor>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:contributor>Istanbul University - Cerrahpasa</dc:contributor>
   <dc:contributor>Istanbul University</dc:contributor>
   <dc:subject>Medicine, General &amp; Internal</dc:subject>
   <dc:subject>Hepatitis B virus</dc:subject>
   <dc:subject>seroprevalence</dc:subject>
   <dc:subject>vaccination</dc:subject>
   <dc:subject>Istanbul</dc:subject>
   <dc:subject>BLOOD-DONORS</dc:subject>
   <dc:subject>TRANSMISSION</dc:subject>
   <dc:subject>TURKEY</dc:subject>
   <dc:subject>SEROPREVALENCE</dc:subject>
   <dc:subject>POPULATION</dc:subject>
   <dc:subject>PREVENTION</dc:subject>
   <dc:subject>PREVALENCE</dc:subject>
   <dc:subject>TRENDS</dc:subject>
   <dc:description>Objective: Turkey is an intermediate endemic country for hepatitis B virus (HBV) infection, with the prevalence rates showing regional differences. The aim of this study was to determine the recent prevalence of HBV infection among adults in Istanbul and to evaluate the impact of national vaccination program that started in 1998. Materials and Methods: Data of three healthcare centers from 3 different districts in Istanbul between 1995 and 2015 were obtained. HBV status of the participants was evaluated according to their hepatitis B surface antigen (HBsAg) and anti-HBs results. The change in HBV prevalence was evaluated by dividing the time included in the study into three periods: 1995-2002, 2003-2009 and 2010-2015. Statistical comparison between groups studied in each period was performed. To evaluate the impact of vaccination, the patients of 15-17 years of age were compared with the rest of the last study group. Results: Totally, 26001 adult patients were included in the study. HBsAg and anti-HBs tested positive in 4.24% and 16.81% of patients, respectively. When the 20 years included in the study were divided into three periods and each studied separately, the positive results for HBsAg decreased from 5.34% to 4.8% and 3.08%, and positive anti-HBs results increased from 14.24% to 15.45% and 19.57%, the difference between the groups being statistically significant (p&lt;0.001). In vaccinated group (n=287), no one tested positive for HBsAg and 30.3% of patients tested positive for anti-HBs, being statistically different from the rest of the group (p&lt;0.001). Conclusion: Despite the positive effects of vaccination, chronic HB remains a serious health problem.</dc:description>
   <dc:date>2025-10-09T11:36:28Z</dc:date>
   <dc:date>2016</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>1307-9441</dc:identifier>
   <dc:identifier>2147-2939</dc:identifier>
   <dc:identifier>http://dx.doi.org/10.4274/vhd.30932</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/17840</dc:identifier>
   <dc:identifier>10.4274/vhd.30932</dc:identifier>
   <dc:identifier>88</dc:identifier>
   <dc:identifier>91</dc:identifier>
   <dc:identifier>22</dc:identifier>
   <dc:identifier>3</dc:identifier>
   <dc:identifier>Emerging Sources Citation Index (ESCI)</dc:identifier>
   <dc:identifier>WOS:000393194100005</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>VIRAL HEPATIT DERGISI-VIRAL HEPATITIS JOURNAL</dc:relation>
   <dc:publisher>GALENOS YAYINCILIK</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/13611</identifier><datestamp>2025-10-05T16:45:54Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>RANSAC-based training data selection for emotion recognition from spontaneous speech</dc:title>
   <dc:creator>Erdem, Cigdem Eroglu</dc:creator>
   <dc:creator>Bozkurt, Elif</dc:creator>
   <dc:creator>Erzin, Engin</dc:creator>
   <dc:creator>Erdem, Tanju Tanju</dc:creator>
   <dc:contributor>Erdem, Cigdem Eroglu, Department of Electrical and Electronic Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Bozkurt, Elif, Department of Electrical &amp; Computer Engineering, Koç Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Erzin, Engin, Department of Electrical &amp; Computer Engineering, Koç Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Erdem, Tanju Tanju, Department of Electrical &amp; Computer Engineering, Özyeğin Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:subject>Affect Recognition</dc:subject>
   <dc:subject>Data Cleaning</dc:subject>
   <dc:subject>Data Pruning</dc:subject>
   <dc:subject>Emotional Speech Classification</dc:subject>
   <dc:subject>Ransac</dc:subject>
   <dc:subject>Affect Recognition</dc:subject>
   <dc:subject>Data Cleaning</dc:subject>
   <dc:subject>Data Pruning</dc:subject>
   <dc:subject>Emotional Speech</dc:subject>
   <dc:subject>Ransac</dc:subject>
   <dc:subject>Cleaning</dc:subject>
   <dc:subject>Data Reduction</dc:subject>
   <dc:subject>Hidden Markov Models</dc:subject>
   <dc:subject>Speech Analysis</dc:subject>
   <dc:subject>Speech Recognition</dc:subject>
   <dc:subject>Affect recognition</dc:subject>
   <dc:subject>Data cleaning</dc:subject>
   <dc:subject>Data pruning</dc:subject>
   <dc:subject>Emotional speech</dc:subject>
   <dc:subject>RANSAC</dc:subject>
   <dc:subject>Cleaning</dc:subject>
   <dc:subject>Data reduction</dc:subject>
   <dc:subject>Hidden Markov models</dc:subject>
   <dc:subject>Speech analysis</dc:subject>
   <dc:subject>Speech recognition</dc:subject>
   <dc:description>Training datasets containing spontaneous emotional expressions are often imperfect due the ambiguities and difficulties of labeling such data by human observers. In this paper, we present a Random Sampling Consensus (RANSAC) based training approach for the problem of emotion recognition from spontaneous speech recordings. Our motivation is to insert a data cleaning process to the training phase of the Hidden Markov Models (HMMs) for the purpose of removing some suspicious instances of labels that may exist in the training dataset. Our experiments using HMMs with various number of states and Gaussian mixtures per state indicate that utilization of RANSAC in the training phase provides an improvement of up to 2.84% in the unweighted recall rates on the test set. This improvement in the accuracy of the classifier is shown to be statistically significant using McNemar's test. © 2011 Elsevier B.V., All rights reserved.</dc:description>
   <dc:description>ACM SIGMM</dc:description>
   <dc:date>2025-10-05T16:45:53Z</dc:date>
   <dc:date>2010</dc:date>
   <dc:type>Conference Paper</dc:type>
   <dc:identifier>9781450301701</dc:identifier>
   <dc:identifier>https://doi.org/10.1145/1877826.1877831</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/13611</dc:identifier>
   <dc:identifier>10.1145/1877826.1877831</dc:identifier>
   <dc:identifier>2-s2.0-78650482962</dc:identifier>
   <dc:identifier>9</dc:identifier>
   <dc:identifier>14</dc:identifier>
   <dc:identifier>Firenze</dc:identifier>
   <dc:identifier>3rd ACM Workshop on Affective Interaction in Natural Environments, AFFINE'10, Co-located with ACM Multimedia 2010</dc:identifier>
   <dc:language>en</dc:language>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/12287</identifier><datestamp>2025-10-05T16:21:54Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Elliptic-curve cryptography for wireless sensor network nodes without hardware multiplier support</dc:title>
   <dc:creator>Gulen, Utku</dc:creator>
   <dc:creator>Baktir, S.</dc:creator>
   <dc:contributor>Gulen, Utku, Department of Computer Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Baktir, S., Department of Computer Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:subject>Comb Method</dc:subject>
   <dc:subject>Ecc</dc:subject>
   <dc:subject>Elliptic-curve Cryptography</dc:subject>
   <dc:subject>Finite Field Multiplication</dc:subject>
   <dc:subject>Frequency Domain</dc:subject>
   <dc:subject>Low-power</dc:subject>
   <dc:subject>Msp430</dc:subject>
   <dc:subject>Naf</dc:subject>
   <dc:subject>Ntt</dc:subject>
   <dc:subject>Number Theoretic Transform</dc:subject>
   <dc:subject>Point Multiplication</dc:subject>
   <dc:subject>Wireless Sensor Networks</dc:subject>
   <dc:subject>Wsn</dc:subject>
   <dc:subject>Copyrights</dc:subject>
   <dc:subject>Frequency Domain Analysis</dc:subject>
   <dc:subject>Frequency Multiplying Circuits</dc:subject>
   <dc:subject>Geometry</dc:subject>
   <dc:subject>Hardware</dc:subject>
   <dc:subject>Mathematical Transformations</dc:subject>
   <dc:subject>Microcontrollers</dc:subject>
   <dc:subject>Public Key Cryptography</dc:subject>
   <dc:subject>Sensor Nodes</dc:subject>
   <dc:subject>Sodium Fluoride</dc:subject>
   <dc:subject>Wireless Sensor Networks</dc:subject>
   <dc:subject>Comb Method</dc:subject>
   <dc:subject>Elliptic Curve Cryptography</dc:subject>
   <dc:subject>Finite Field Multiplication</dc:subject>
   <dc:subject>Frequency Domains</dc:subject>
   <dc:subject>Low Power</dc:subject>
   <dc:subject>Msp430</dc:subject>
   <dc:subject>Number Theoretic Transform</dc:subject>
   <dc:subject>Point Multiplication</dc:subject>
   <dc:subject>Low Power Electronics</dc:subject>
   <dc:subject>Copyrights</dc:subject>
   <dc:subject>Frequency domain analysis</dc:subject>
   <dc:subject>Frequency multiplying circuits</dc:subject>
   <dc:subject>Geometry</dc:subject>
   <dc:subject>Hardware</dc:subject>
   <dc:subject>Mathematical transformations</dc:subject>
   <dc:subject>Microcontrollers</dc:subject>
   <dc:subject>Public key cryptography</dc:subject>
   <dc:subject>Sensor nodes</dc:subject>
   <dc:subject>Sodium Fluoride</dc:subject>
   <dc:subject>Wireless sensor networks</dc:subject>
   <dc:subject>comb method</dc:subject>
   <dc:subject>Elliptic curve cryptography</dc:subject>
   <dc:subject>Finite field multiplication</dc:subject>
   <dc:subject>Frequency domains</dc:subject>
   <dc:subject>Low Power</dc:subject>
   <dc:subject>MSP430</dc:subject>
   <dc:subject>Number theoretic transform</dc:subject>
   <dc:subject>Point multiplication</dc:subject>
   <dc:subject>Low power electronics</dc:subject>
   <dc:description>With its relatively small key size, elliptic-curve cryptography (ECC) is considered as the public-key cryptographic algorithm of choice for wireless sensor networks (WSNs). In this work, we implemented ECC in the frequency domain, that is, by using the number theoretic transform, and without using hardware multiplier support, on the constrained MSP430 microcontroller widely used in WSNs. Our 169-bit ECC implementation uses Edwards curves and performs scalar point multiplication in only 1.97 and 0.98 s for multiplication of random and fixed points, respectively. Unlike many implementations in literature, our implementation does not use hardware multiplier support, which makes it desirable for low-power applications on constrained WSN platforms. To our knowledge, this study presents the first ever software implementation of ECC in the frequency domain on a constrained low-power microcontroller without hardware multiplier support. Copyright © 2016 John Wiley &amp; Sons, Ltd. © 2019 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T16:21:54Z</dc:date>
   <dc:date>2016</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>19390114</dc:identifier>
   <dc:identifier>19390122</dc:identifier>
   <dc:identifier>https://doi.org/10.1002/sec.1670</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/12287</dc:identifier>
   <dc:identifier>10.1002/sec.1670</dc:identifier>
   <dc:identifier>2-s2.0-85002830683</dc:identifier>
   <dc:identifier>4992</dc:identifier>
   <dc:identifier>5002</dc:identifier>
   <dc:identifier>9</dc:identifier>
   <dc:identifier>18</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>Security and Communication Networks</dc:relation>
   <dc:publisher>John Wiley and Sons Inc. 410 Park Avenue, 15th Floor, 287 pmb New York NY 10022</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/240</identifier><datestamp>2025-06-02T08:38:46Z</datestamp><setSpec>com_20.500.14719_11</setSpec><setSpec>col_20.500.14719_1761</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Spor endüstrisinde sponsorluk kavramı ve Türk futbolundaki değişimlerin sponsorluk üzerindeki etkisi : milli takım örneği</dc:title>
   <dc:creator>Yetkiner, Kılıç</dc:creator>
   <dc:contributor>Giray, Caner</dc:contributor>
   <dc:subject>Sports sponsorship</dc:subject>
   <dc:subject>Economic aspects</dc:subject>
   <dc:subject>Turkey</dc:subject>
   <dc:date>2015-05-25T10:58:40Z</dc:date>
   <dc:date>2015-05-25T10:58:40Z</dc:date>
   <dc:date>2011</dc:date>
   <dc:type>Thesis</dc:type>
   <dc:identifier>https://hdl.handle.net/20.500.14719/240</dc:identifier>
   <dc:format>application/pdf</dc:format>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/20231</identifier><datestamp>2025-10-09T17:24:34Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Operation and performance of the ATLAS semiconductor tracker in LHC Run 2</dc:title>
   <dc:subject>Instruments &amp; Instrumentation</dc:subject>
   <dc:subject>Charge transport and multiplication in solid media</dc:subject>
   <dc:subject>Particle tracking detectors (Solid-state detectors)</dc:subject>
   <dc:subject>Radiation damage to detector materials (solid state)</dc:subject>
   <dc:subject>Solid state detectors</dc:subject>
   <dc:subject>SILICON</dc:subject>
   <dc:subject>DETECTORS</dc:subject>
   <dc:subject>SYSTEM</dc:subject>
   <dc:description>The semiconductor tracker (SCT) is one of the tracking systems for charged particles in the ATLAS detector. It consists of 4088 silicon strip sensor modules. During Run 2 (2015-2018) the Large Hadron Collider delivered an integrated luminosity of 156 fb(-1) to the ATLAS experiment at a centre-of-mass proton-proton collision energy of 13 TeV. The instantaneous luminosity and pile-up conditions were far in excess of those assumed in the original design of the SCT detector. Due to improvements to the data acquisition system, the SCT operated stably throughout Run 2. It was available for 99.9% of the integrated luminosity and achieved a data-quality efficiency of 99.85%. Detailed studies have been made of the leakage current in SCT modules and the evolution of the full depletion voltage, which are used to study the impact of radiation damage to the modules. '</dc:description>
   <dc:date>2025-10-09T17:24:31Z</dc:date>
   <dc:date>2022</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>1748-0221</dc:identifier>
   <dc:identifier>http://dx.doi.org/10.1088/1748-0221/17/01/P01013</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/20231</dc:identifier>
   <dc:identifier>10.1088/1748-0221/17/01/P01013</dc:identifier>
   <dc:identifier>17</dc:identifier>
   <dc:identifier>1</dc:identifier>
   <dc:identifier>Science Citation Index Expanded (SCI-EXPANDED)</dc:identifier>
   <dc:identifier>WOS:000766149300002</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>JOURNAL OF INSTRUMENTATION</dc:relation>
   <dc:relation>Green Submitted</dc:relation>
   <dc:relation>gold</dc:relation>
   <dc:relation>CERN</dc:relation>
   <dc:relation>ANPCyT, Argentina</dc:relation>
   <dc:relation>YerPhI, Armenia</dc:relation>
   <dc:relation>ARC, Australia</dc:relation>
   <dc:relation>BMWFW</dc:relation>
   <dc:relation>FWF, Austria</dc:relation>
   <dc:relation>ANAS</dc:relation>
   <dc:relation>SSTC, Belarus</dc:relation>
   <dc:relation>CNPq</dc:relation>
   <dc:relation>FAPESP, Brazil</dc:relation>
   <dc:relation>NSERC</dc:relation>
   <dc:relation>CFI, Canada</dc:relation>
   <dc:relation>NSFC, China</dc:relation>
   <dc:relation>MSMT CR</dc:relation>
   <dc:relation>MPO CR</dc:relation>
   <dc:relation>VSC CR, Czech Republic</dc:relation>
   <dc:relation>DNRF</dc:relation>
   <dc:relation>DNSRC, Denmark</dc:relation>
   <dc:relation>IN2P3-CNRS</dc:relation>
   <dc:relation>CEA-DRF/IRFU, France</dc:relation>
   <dc:relation>BMBF</dc:relation>
   <dc:relation>MPG, Germany</dc:relation>
   <dc:relation>RGC and Hong Kong SAR, China</dc:relation>
   <dc:relation>ISF</dc:relation>
   <dc:relation>Benoziyo Center</dc:relation>
   <dc:relation>INFN, Italy</dc:relation>
   <dc:relation>MEXT</dc:relation>
   <dc:relation>JSPS, Japan</dc:relation>
   <dc:relation>CNRST, Morocco</dc:relation>
   <dc:relation>NWO, Netherlands</dc:relation>
   <dc:relation>RCN, Norway</dc:relation>
   <dc:relation>MEiN, Poland</dc:relation>
   <dc:relation>FCT, Portugal</dc:relation>
   <dc:relation>MNE/IFA, Romania</dc:relation>
   <dc:relation>MESTD, Serbia</dc:relation>
   <dc:relation>MSSR, Slovakia</dc:relation>
   <dc:relation>ARRS</dc:relation>
   <dc:relation>MIZS, Slovenia</dc:relation>
   <dc:relation>MICINN, Spain</dc:relation>
   <dc:relation>Wallenberg Foundation, Sweden</dc:relation>
   <dc:relation>SNSF and Cantons of Bern and Geneva, Switzerland</dc:relation>
   <dc:relation>MOST, Taiwan</dc:relation>
   <dc:relation>TAEK, Turkey</dc:relation>
   <dc:relation>STFC</dc:relation>
   <dc:relation>DOE</dc:relation>
   <dc:relation>NSF, United States of America</dc:relation>
   <dc:relation>BCKDF</dc:relation>
   <dc:relation>CANARIE</dc:relation>
   <dc:relation>CRC, Canada</dc:relation>
   <dc:relation>COST, ERC</dc:relation>
   <dc:relation>ERDF</dc:relation>
   <dc:relation>Marie Skodowska-Curie Actions, European Union</dc:relation>
   <dc:relation>Investissements d'Avenir Labex</dc:relation>
   <dc:relation>ANR, France</dc:relation>
   <dc:relation>DFG</dc:relation>
   <dc:relation>AvH Foundation, Germany - EU-ESF</dc:relation>
   <dc:relation>Greek NSRF, Greece</dc:relation>
   <dc:relation>BSF-NSF</dc:relation>
   <dc:relation>GIF, Israel</dc:relation>
   <dc:relation>Norwegian Financial Mechanism</dc:relation>
   <dc:relation>NCN</dc:relation>
   <dc:relation>La Caixa Banking Foundation</dc:relation>
   <dc:relation>CERCA Programme Generalitat de Catalunya</dc:relation>
   <dc:relation>PROMETEO</dc:relation>
   <dc:relation>Generalitat Valenciana, Spain</dc:relation>
   <dc:relation>Goran Gustafssons Stiftelse, Sweden</dc:relation>
   <dc:relation>Royal Society</dc:relation>
   <dc:relation>Leverhulme Trust, United Kingdom</dc:relation>
   <dc:relation>NDGF (Denmark, Norway)</dc:relation>
   <dc:relation>KIT/GridKA (Germany)</dc:relation>
   <dc:relation>INFN-CNAF (Italy)</dc:relation>
   <dc:relation>NL-T1 (Netherlands) , PIC (Spain)</dc:relation>
   <dc:relation>ASGC (Taiwan)</dc:relation>
   <dc:relation>BNL ( U.S.A.)</dc:relation>
   <dc:relation>Science and Technology Facilities Council [ST/M006980/1, ST/L001179/1, ST/H001158/1, ST/H001158/2, ST/N000277/1, ATLAS, ST/P002439/1, ST/N000447/1, ST/N000420/1, ST/S000747/1] Funding Source: researchfish</dc:relation>
   <dc:relation>Grants-in-Aid for Scientific Research [21H01101, 23K20854, 20K22346] Funding Source: KAKEN</dc:relation>
   <dc:relation>CERN</dc:relation>
   <dc:relation>ANPCyT, Argentina(ANPCyT)</dc:relation>
   <dc:relation>YerPhI, Armenia</dc:relation>
   <dc:relation>ARC, Australia(Australian Research Council)</dc:relation>
   <dc:relation>BMWFW</dc:relation>
   <dc:relation>FWF, Austria(Austrian Science Fund (FWF))</dc:relation>
   <dc:relation>ANAS(Azerbaijan National Academy of Sciences (ANAS))</dc:relation>
   <dc:relation>SSTC, Belarus</dc:relation>
   <dc:relation>CNPq(Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ))</dc:relation>
   <dc:relation>FAPESP, Brazil(Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP))</dc:relation>
   <dc:relation>NSERC(Natural Sciences and Engineering Research Council of Canada (NSERC))</dc:relation>
   <dc:relation>CFI, Canada(Canada Foundation for Innovation)</dc:relation>
   <dc:relation>NSFC, China(National Natural Science Foundation of China (NSFC))</dc:relation>
   <dc:relation>MSMT CR(Ministry of Education, Youth &amp; Sports - Czech Republic)</dc:relation>
   <dc:relation>MPO CR</dc:relation>
   <dc:relation>VSC CR, Czech Republic(Czech Republic Government)</dc:relation>
   <dc:relation>DNRF</dc:relation>
   <dc:relation>DNSRC, Denmark(Danish Natural Science Research Council)</dc:relation>
   <dc:relation>IN2P3-CNRS(Centre National de la Recherche Scientifique (CNRS))</dc:relation>
   <dc:relation>CEA-DRF/IRFU, France</dc:relation>
   <dc:relation>BMBF(Federal Ministry of Education &amp; Research (BMBF))</dc:relation>
   <dc:relation>MPG, Germany(Max Planck Society)</dc:relation>
   <dc:relation>RGC and Hong Kong SAR, China</dc:relation>
   <dc:relation>ISF(Israel Science Foundation)</dc:relation>
   <dc:relation>Benoziyo Center</dc:relation>
   <dc:relation>INFN, Italy(Istituto Nazionale di Fisica Nucleare (INFN))</dc:relation>
   <dc:relation>MEXT(Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT))</dc:relation>
   <dc:relation>JSPS, Japan(Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT)Japan Society for the Promotion of Science)</dc:relation>
   <dc:relation>CNRST, Morocco</dc:relation>
   <dc:relation>NWO, Netherlands</dc:relation>
   <dc:relation>RCN, Norway(Research Council of Norway)</dc:relation>
   <dc:relation>MEiN, Poland</dc:relation>
   <dc:relation>FCT, Portugal(Fundacao para a Ciencia e a Tecnologia (FCT))</dc:relation>
   <dc:relation>MNE/IFA, Romania</dc:relation>
   <dc:relation>MESTD, Serbia(Ministry of Education, Science &amp; Technological Development, Serbia)</dc:relation>
   <dc:relation>MSSR, Slovakia</dc:relation>
   <dc:relation>ARRS(Slovenian Research Agency - Slovenia)</dc:relation>
   <dc:relation>MIZS, Slovenia</dc:relation>
   <dc:relation>MICINN, Spain(Spanish GovernmentMinistry of Science &amp; Innovation, Spain (MICINN))</dc:relation>
   <dc:relation>Wallenberg Foundation, Sweden</dc:relation>
   <dc:relation>SNSF and Cantons of Bern and Geneva, Switzerland(Swiss National Science Foundation (SNSF))</dc:relation>
   <dc:relation>MOST, Taiwan(Ministry of Science and Technology, Taiwan)</dc:relation>
   <dc:relation>TAEK, Turkey(Ministry of Energy &amp; Natural Resources - Turkey)</dc:relation>
   <dc:relation>STFC(UK Research &amp; Innovation (UKRI)Science &amp; Technology Facilities Council (STFC))</dc:relation>
   <dc:relation>DOE(United States Department of Energy (DOE))</dc:relation>
   <dc:relation>NSF, United States of America(National Science Foundation (NSF))</dc:relation>
   <dc:relation>BCKDF</dc:relation>
   <dc:relation>CANARIE</dc:relation>
   <dc:relation>CRC, Canada</dc:relation>
   <dc:relation>COST, ERC</dc:relation>
   <dc:relation>ERDF(European Union (EU))</dc:relation>
   <dc:relation>Marie Skodowska-Curie Actions, European Union(European Union (EU)Marie Curie Actions)</dc:relation>
   <dc:relation>Investissements d'Avenir Labex(Agence Nationale de la Recherche (ANR))</dc:relation>
   <dc:relation>ANR, France(Agence Nationale de la Recherche (ANR))</dc:relation>
   <dc:relation>DFG(German Research Foundation (DFG))</dc:relation>
   <dc:relation>AvH Foundation, Germany - EU-ESF(Alexander von Humboldt Foundation)</dc:relation>
   <dc:relation>Greek NSRF, Greece</dc:relation>
   <dc:relation>BSF-NSF</dc:relation>
   <dc:relation>GIF, Israel(German-Israeli Foundation for Scientific Research and Development)</dc:relation>
   <dc:relation>Norwegian Financial Mechanism</dc:relation>
   <dc:relation>NCN</dc:relation>
   <dc:relation>La Caixa Banking Foundation(La Caixa Foundation)</dc:relation>
   <dc:relation>CERCA Programme Generalitat de Catalunya</dc:relation>
   <dc:relation>PROMETEO</dc:relation>
   <dc:relation>Generalitat Valenciana, Spain(Center for Forestry Research &amp; Experimentation (CIEF))</dc:relation>
   <dc:relation>Goran Gustafssons Stiftelse, Sweden</dc:relation>
   <dc:relation>Royal Society(Royal Society UK)</dc:relation>
   <dc:relation>Leverhulme Trust, United Kingdom(Leverhulme Trust)</dc:relation>
   <dc:relation>NDGF (Denmark, Norway)</dc:relation>
   <dc:relation>KIT/GridKA (Germany)</dc:relation>
   <dc:relation>INFN-CNAF (Italy)</dc:relation>
   <dc:relation>NL-T1 (Netherlands) , PIC (Spain)</dc:relation>
   <dc:relation>ASGC (Taiwan)</dc:relation>
   <dc:relation>BNL ( U.S.A.)</dc:relation>
   <dc:relation>Science and Technology Facilities Council(UK Research &amp; Innovation (UKRI)Science &amp; Technology Facilities Council (STFC))</dc:relation>
   <dc:relation>Grants-in-Aid for Scientific Research(Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT)Japan Society for the Promotion of ScienceGrants-in-Aid for Scientific Research (KAKENHI))</dc:relation>
   <dc:relation>We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina, YerPhI, Armenia, ARC, Australia, BMWFW and FWF, Austria, ANAS, Azerbaijan, SSTC, Belarus, CNPq and FAPESP, Brazil, NSERC, NRC and CFI, Canada, CERN, ANID, Chile, CAS, MOST and NSFC, China, Min-ciencias, Colombia, MSMT CR, MPO CR and VSC CR, Czech Republic, DNRF and DNSRC, Denmark, IN2P3-CNRS and CEA-DRF/IRFU, France, SRNSFG, Georgia, BMBF, HGF and MPG, Germany, GSRI, Greece, RGC and Hong Kong SAR, China, ISF and Benoziyo Center, Is-rael, INFN, Italy, MEXT and JSPS, Japan, CNRST, Morocco, NWO, Netherlands, RCN, Norway, MEiN, Poland, FCT, Portugal, MNE/IFA, Romania, JINR, MES of Russia and NRC KI, Russian Federation, MESTD, Serbia, MSSR, Slovakia, ARRS and MIZS, Slovenia, DSI/NRF, South Africa, MICINN, Spain, SRC and Wallenberg Foundation, Sweden, SERI, SNSF and Cantons of Bern and Geneva, Switzerland, MOST, Taiwan, TAEK, Turkey, STFC, United Kingdom, DOE and NSF, United States of America. In addition, individual groups and members have received support from BCKDF, CANARIE, Compute Canada and CRC, Canada, COST, ERC, ERDF, Horizon 2020 and Marie Skodowska-Curie Actions, European Union, Investissements dAvenir Labex, Investisse-ments dAvenir Idex and ANR, France, DFG and AvH Foundation, Germany, Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece, BSF-NSF and GIF, Israel, Norwegian Financial Mechanism 2014-2021, Norway, NCN and NAWA, Poland, La Caixa Banking Foundation, CERCA Programme Generalitat de Catalunya and PROMETEO and GenT Programmes Generalitat Valenciana, Spain, Goran Gustafssons Stiftelse, Sweden, The Royal Society and Leverhulme Trust, United Kingdom. The crucial computing support from all WLCG partners is acknowledged gratefully, in particu-lar from CERN, the ATLAS Tier-1 facilities at TRIUMF (Canada) , NDGF (Denmark, Norway, Swe-den) , CC-IN2P3 (France) , KIT/GridKA (Germany) , INFN-CNAF (Italy) , NL-T1 (Netherlands) , PIC (Spain) , ASGC (Taiwan) , RAL (U.K.) and BNL ( U.S.A.) , the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of computing resources are listed in ref. [47] .</dc:relation>
   <dc:publisher>IOP Publishing Ltd</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/11919</identifier><datestamp>2026-06-14T00:00:30Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Search for Heavy Higgs Bosons A /H Decaying to a Top Quark Pair in pp Collisions at s =8 TeV with the ATLAS Detector</dc:title>
   <dc:creator>Aaboud, M.</dc:creator>
   <dc:creator>Aad, Georges</dc:creator>
   <dc:creator>Abbott, Brad K.</dc:creator>
   <dc:creator>Abdinov, O. B.</dc:creator>
   <dc:creator>Abeloos, Baptiste</dc:creator>
   <dc:creator>Abidi, Syed Hani</dc:creator>
   <dc:creator>AbouZeid, O. S.</dc:creator>
   <dc:creator>Abraham, Nicola L.</dc:creator>
   <dc:creator>Abramowicz, Halina</dc:creator>
   <dc:creator>Abreu, Henso</dc:creator>
   <dc:contributor>Aaboud, M., Faculty of Science, Université Mohammed Premier Oujda, Oujda, Morocco</dc:contributor>
   <dc:contributor>Aad, Georges, Centre de Physique des Particules de Marseille, Marseille, France</dc:contributor>
   <dc:contributor>Abbott, Brad K., The University of Oklahoma, Norman, United States</dc:contributor>
   <dc:contributor>Abdinov, O. B., Azerbaijan National Academy of Sciences, Baku, Azerbaijan, Laboratoire de l&amp;apos;Accélérateur Linéaire, Orsay, France</dc:contributor>
   <dc:contributor>Abeloos, Baptiste, Laboratoire de l&amp;apos;Accélérateur Linéaire, Orsay, France</dc:contributor>
   <dc:contributor>Abidi, Syed Hani, University of Toronto, Toronto, Canada</dc:contributor>
   <dc:contributor>AbouZeid, O. S., Santa Cruz Institute for Particle Physics, Santa Cruz, United States</dc:contributor>
   <dc:contributor>Abraham, Nicola L., University of Sussex, Brighton, United Kingdom</dc:contributor>
   <dc:contributor>Abramowicz, Halina, Tel Aviv University, Tel Aviv-Yafo, Israel</dc:contributor>
   <dc:contributor>Abreu, Henso, Department of Physics, Technion - Israel Institute of Technology, Haifa, Israel</dc:contributor>
   <dc:subject>Charged Particles</dc:subject>
   <dc:subject>Colliding Beam Accelerators</dc:subject>
   <dc:subject>Hadrons</dc:subject>
   <dc:subject>A-center</dc:subject>
   <dc:subject>Atlas Detectors</dc:subject>
   <dc:subject>Atlas Experiment</dc:subject>
   <dc:subject>Center-of-mass Energies</dc:subject>
   <dc:subject>Higgs Boson</dc:subject>
   <dc:subject>Large Hadron Collider</dc:subject>
   <dc:subject>Large-hadron Colliders</dc:subject>
   <dc:subject>Proton Proton Collisions</dc:subject>
   <dc:subject>Pseudoscalars</dc:subject>
   <dc:subject>Top Quarks</dc:subject>
   <dc:subject>Bosons</dc:subject>
   <dc:subject>Article</dc:subject>
   <dc:subject>Boson</dc:subject>
   <dc:subject>Expectation</dc:subject>
   <dc:subject>Mass Spectrometry</dc:subject>
   <dc:subject>Quark</dc:subject>
   <dc:subject>Vacuum</dc:subject>
   <dc:subject>Charged particles</dc:subject>
   <dc:subject>Colliding beam accelerators</dc:subject>
   <dc:subject>Hadrons</dc:subject>
   <dc:subject>A-center</dc:subject>
   <dc:subject>ATLAS detectors</dc:subject>
   <dc:subject>ATLAS experiment</dc:subject>
   <dc:subject>Center-of-mass energies</dc:subject>
   <dc:subject>Higgs boson</dc:subject>
   <dc:subject>Large Hadron Collider</dc:subject>
   <dc:subject>Large-hadron colliders</dc:subject>
   <dc:subject>Proton proton collisions</dc:subject>
   <dc:subject>Pseudoscalars</dc:subject>
   <dc:subject>Top quarks</dc:subject>
   <dc:subject>Bosons</dc:subject>
   <dc:subject>article</dc:subject>
   <dc:subject>boson</dc:subject>
   <dc:subject>expectation</dc:subject>
   <dc:subject>mass spectrometry</dc:subject>
   <dc:subject>quark</dc:subject>
   <dc:subject>vacuum</dc:subject>
   <dc:description>A search for heavy pseudoscalar (A) and scalar (H) Higgs bosons decaying into a top quark pair (tt) has been performed with 20.3 fb-1 of proton-proton collision data collected by the ATLAS experiment at the Large Hadron Collider at a center-of-mass energy s=8 TeV. Interference effects between the signal process and standard model tt production, which are expected to distort the signal shape from a single peak to a peak-dip structure, are taken into account. No significant deviation from the standard model prediction is observed in the tt invariant mass spectrum in final states with an electron or muon, large missing transverse momentum, and at least four jets. The results are interpreted within the context of a type-II two-Higgs-doublet model. Exclusion limits on the signal strength are derived as a function of the mass mA/H and the ratio of the vacuum expectation values of the two Higgs fields, tanβ, for mA/H&amp;gt;500 GeV. © 2025 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T16:13:55Z</dc:date>
   <dc:date>2017</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>10797114</dc:identifier>
   <dc:identifier>00319007</dc:identifier>
   <dc:identifier>https://doi.org/10.1103/PhysRevLett.119.191803</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/11919</dc:identifier>
   <dc:identifier>10.1103/PhysRevLett.119.191803</dc:identifier>
   <dc:identifier>2-s2.0-85034070285</dc:identifier>
   <dc:identifier>119</dc:identifier>
   <dc:identifier>19</dc:identifier>
   <dc:identifier>29219511</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>Physical Review Letters</dc:relation>
   <dc:relation>All Open Access</dc:relation>
   <dc:relation>Green Accepted Open Access</dc:relation>
   <dc:relation>Green Open Access</dc:relation>
   <dc:relation>Hybrid Gold Open Access</dc:relation>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>American Physical Society</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/16074</identifier><datestamp>2025-10-09T11:03:00Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Preliminary results of blood growth differentiation factor-9 (GDF-9) measurement in cats: future aspects of GDF-9 on stage of the cycle and spaying history</dc:title>
   <dc:creator>Dal, G. Evkuran</dc:creator>
   <dc:creator>Baykal, A.</dc:creator>
   <dc:creator>Karabulut, T. S. F. Toydemir</dc:creator>
   <dc:creator>Gungor, N. Dokuzeylul</dc:creator>
   <dc:creator>Turna, O.</dc:creator>
   <dc:contributor>Istanbul University - Cerrahpasa</dc:contributor>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:subject>Veterinary Sciences</dc:subject>
   <dc:subject>cats</dc:subject>
   <dc:subject>growth differentiation factor 9</dc:subject>
   <dc:subject>ovarian cycle</dc:subject>
   <dc:subject>ovary</dc:subject>
   <dc:subject>OVARIAN REMNANT SYNDROME</dc:subject>
   <dc:subject>ANTI-MULLERIAN HORMONE</dc:subject>
   <dc:subject>FACTOR-BETA SUPERFAMILY</dc:subject>
   <dc:subject>DOMESTIC CAT</dc:subject>
   <dc:subject>EXPRESSION</dc:subject>
   <dc:subject>MEMBERS</dc:subject>
   <dc:subject>BMP-15</dc:subject>
   <dc:subject>BITCH</dc:subject>
   <dc:subject>DOGS</dc:subject>
   <dc:description>Growth differentiation factor-9 (GDF-9), an oocyte-derived member of the TGF-beta superfamily, plays an essential role in regulation of follicular development. This study aimed to determine the cyclic changes in serum GDF-9 concentration, compare its levels before and after ovariohysterectomy (OHE), and investigate its potential as a tool in ovarian remnant syndrome (ORS) diagnosis in cats. GDF-9 measurements were performed on 50 cats referred for routine OHE. The stage of the estrous cycle was determined by vaginal cytology and measurement of serum estradiol and progesterone levels was carried out to detect the cyclic changes in circulating GDF-9. One week after OHE, serum samples were collected again from 30 cats to reveal differences in GDF-9 levels. GDF-9 levels in the follicular phase were significantly higher than those in the interestrus (p&lt;0.05). The postoperative analysis could be performed. GDF-9 levels slightly decreased one week after OHE (p=0.053). In conclusion, blood GDF-9 levels change during the estrous cycle, and may decrease with age in cats. However, further studies are needed to reveal the efficiency of GDF-9 in ORS diagnosis.</dc:description>
   <dc:date>2025-10-09T11:02:59Z</dc:date>
   <dc:date>2022</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>1505-1773</dc:identifier>
   <dc:identifier>2300-2557</dc:identifier>
   <dc:identifier>http://dx.doi.org/10.24425/pjvs.2022.140851</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/16074</dc:identifier>
   <dc:identifier>10.24425/pjvs.2022.140851</dc:identifier>
   <dc:identifier>149</dc:identifier>
   <dc:identifier>154</dc:identifier>
   <dc:identifier>25</dc:identifier>
   <dc:identifier>1</dc:identifier>
   <dc:identifier>35575995</dc:identifier>
   <dc:identifier>Science Citation Index Expanded (SCI-EXPANDED)</dc:identifier>
   <dc:identifier>WOS:000779784000018</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>POLISH JOURNAL OF VETERINARY SCIENCES</dc:relation>
   <dc:relation>Bronze</dc:relation>
   <dc:publisher>POLSKA AKAD NAUK, POLISH ACAD SCIENCES, UNIV WARMIA &amp; MAZURY OLSZTYN</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/11636</identifier><datestamp>2025-10-05T16:08:49Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Bistatic sonobuoy deployment strategies for detecting stationary and mobile underwater targets</dc:title>
   <dc:creator>Karatas, Mumtaz</dc:creator>
   <dc:creator>Craparo, Emily M.</dc:creator>
   <dc:creator>Akman, Gülşen</dc:creator>
   <dc:contributor>Karatas, Mumtaz, Department of Industrial Engineering, Milli Savunma Üniversitesi, Istanbul, Turkey, Department of Industrial Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Craparo, Emily M., Operations Research Department, Naval Postgraduate School, Monterey, United States</dc:contributor>
   <dc:contributor>Akman, Gülşen, Department of Industrial Engineering, Kocaeli Üniversitesi, İzmit, Turkey</dc:contributor>
   <dc:subject>Anti-submarine Warfare</dc:subject>
   <dc:subject>Bistatic Sonar</dc:subject>
   <dc:subject>Detection</dc:subject>
   <dc:subject>Monte Carlo Simulation</dc:subject>
   <dc:subject>Moving Target</dc:subject>
   <dc:subject>Multistatic Sonar</dc:subject>
   <dc:subject>Decision Making</dc:subject>
   <dc:subject>Error Detection</dc:subject>
   <dc:subject>Geometry</dc:subject>
   <dc:subject>Intelligent Systems</dc:subject>
   <dc:subject>Military Operations</dc:subject>
   <dc:subject>Operations Research</dc:subject>
   <dc:subject>Sonar</dc:subject>
   <dc:subject>Underwater Acoustics</dc:subject>
   <dc:subject>Analytic Expressions</dc:subject>
   <dc:subject>Anti-submarine Warfares</dc:subject>
   <dc:subject>Bistatic</dc:subject>
   <dc:subject>Detection Probabilities</dc:subject>
   <dc:subject>Fundamental Research</dc:subject>
   <dc:subject>Geometric Probability</dc:subject>
   <dc:subject>Moving Targets</dc:subject>
   <dc:subject>Multistatic Sonar</dc:subject>
   <dc:subject>Monte Carlo Methods</dc:subject>
   <dc:subject>Decision making</dc:subject>
   <dc:subject>Error detection</dc:subject>
   <dc:subject>Geometry</dc:subject>
   <dc:subject>Intelligent systems</dc:subject>
   <dc:subject>Military operations</dc:subject>
   <dc:subject>Operations research</dc:subject>
   <dc:subject>Sonar</dc:subject>
   <dc:subject>Underwater acoustics</dc:subject>
   <dc:subject>Analytic expressions</dc:subject>
   <dc:subject>Anti-submarine warfares</dc:subject>
   <dc:subject>Bistatic</dc:subject>
   <dc:subject>Detection probabilities</dc:subject>
   <dc:subject>Fundamental research</dc:subject>
   <dc:subject>Geometric probability</dc:subject>
   <dc:subject>Moving targets</dc:subject>
   <dc:subject>Multistatic sonar</dc:subject>
   <dc:subject>Monte Carlo methods</dc:subject>
   <dc:description>The problem of determining effective allocation schemes of underwater sensors for surveillance, search, detection, and tracking purposes is a fundamental research area in military operations research. Among the various sensor types, multistatic sonobuoy systems are a promising development in submerged target detection systems. These systems consist of sources (active sensors) and receivers (passive sensors), which need not be collocated. A multistatic sonobuoy system consisting of a single source and receiver is called a bistatic system. The sensing zone of this fundamental system is defined by Cassini ovals. The unique properties and unusual geometrical profile of these ovals distinguish the bistatic sensor allocation problem from conventional sonar placement problems. This study is aimed at supporting decision makers in making the best use of bistatic sonobuoys to detect stationary and mobile targets transiting through an area of interest. We use integral geometry and geometric probability concepts to derive analytic expressions for the optimal source and receiver separation distances to maximize the detection probability of a submerged target. We corroborate our analytic results using Monte Carlo simulation. Our approach constitutes a valuable back of the envelope method for the important and difficult problem of analyzing bistatic sonar performance. © 2018 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T16:08:48Z</dc:date>
   <dc:date>2018</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>15206750</dc:identifier>
   <dc:identifier>0894069X</dc:identifier>
   <dc:identifier>https://doi.org/10.1002/nav.21807</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/11636</dc:identifier>
   <dc:identifier>10.1002/nav.21807</dc:identifier>
   <dc:identifier>2-s2.0-85053502377</dc:identifier>
   <dc:identifier>331</dc:identifier>
   <dc:identifier>346</dc:identifier>
   <dc:identifier>65</dc:identifier>
   <dc:identifier>4</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>Naval Research Logistics</dc:relation>
   <dc:publisher>John Wiley and Sons Inc. P.O.Box 18667 Newark NJ 07191-8667</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/12776</identifier><datestamp>2026-06-14T00:00:31Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Cervical myelopathy due to single level disc herniation presenting as intramedullary mass lesion: What to do first?</dc:title>
   <dc:creator>Ekşi̇, Murat Şakir</dc:creator>
   <dc:creator>Özcan-Ekşi̇, Emel Ece</dc:creator>
   <dc:creator>Yılmaz, Baran</dc:creator>
   <dc:creator>Toktaş, Zafer Orkun</dc:creator>
   <dc:creator>Konya, Deniz</dc:creator>
   <dc:contributor>Ekşi̇, Murat Şakir, Department of Orthopedic Surgery-Spine Center, UCSF Medical Center, San Francisco, United States</dc:contributor>
   <dc:contributor>Özcan-Ekşi̇, Emel Ece, Department of Orthopedic Surgery-Spine Center, UCSF Medical Center, San Francisco, United States</dc:contributor>
   <dc:contributor>Yilmaz, Baran, Department of Neurosurgery, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Toktaş, Zafer Orkun, Department of Neurosurgery, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Konya, Deniz, Department of Neurosurgery, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:subject>Cervical Disc Herniation</dc:subject>
   <dc:subject>Magnetic Resonance Imaging</dc:subject>
   <dc:subject>Myelopathy</dc:subject>
   <dc:subject>Spinal Cord Tumor</dc:subject>
   <dc:subject>Glucose</dc:subject>
   <dc:subject>Protein</dc:subject>
   <dc:subject>Cd20 Antigen</dc:subject>
   <dc:subject>Cd3 Antigen</dc:subject>
   <dc:subject>Cd5 Antigen</dc:subject>
   <dc:subject>Contrast Medium</dc:subject>
   <dc:subject>Corticosteroid</dc:subject>
   <dc:subject>Glial Fibrillary Acidic Protein</dc:subject>
   <dc:subject>Glucose</dc:subject>
   <dc:subject>Neurofilament Protein</dc:subject>
   <dc:subject>Protein</dc:subject>
   <dc:subject>Synaptophysin</dc:subject>
   <dc:subject>Adult</dc:subject>
   <dc:subject>Arm Weakness</dc:subject>
   <dc:subject>Article</dc:subject>
   <dc:subject>Biceps Brachii Muscle</dc:subject>
   <dc:subject>Case Report</dc:subject>
   <dc:subject>Cerebrospinal Fluid Analysis</dc:subject>
   <dc:subject>Cervical Myelopathy</dc:subject>
   <dc:subject>Contrast Enhancement</dc:subject>
   <dc:subject>Cordotomy</dc:subject>
   <dc:subject>Dermatome</dc:subject>
   <dc:subject>Diffuse Axonal Injury</dc:subject>
   <dc:subject>Digital Subtraction Angiography</dc:subject>
   <dc:subject>Gliosis</dc:subject>
   <dc:subject>Gram Staining</dc:subject>
   <dc:subject>Histopathology</dc:subject>
   <dc:subject>Human</dc:subject>
   <dc:subject>Hypesthesia</dc:subject>
   <dc:subject>Intervertebral Disk Hernia</dc:subject>
   <dc:subject>Laminectomy</dc:subject>
   <dc:subject>Lumbar Puncture</dc:subject>
   <dc:subject>Male</dc:subject>
   <dc:subject>Muscle Weakness</dc:subject>
   <dc:subject>Neurologic Examination</dc:subject>
   <dc:subject>Nuclear Magnetic Resonance Imaging</dc:subject>
   <dc:subject>Physiotherapy</dc:subject>
   <dc:subject>Priority Journal</dc:subject>
   <dc:subject>Spinal Cord Tumor</dc:subject>
   <dc:subject>Spinal Intramedullary Tumor</dc:subject>
   <dc:subject>Spine Stabilization</dc:subject>
   <dc:subject>Tendon Reflex</dc:subject>
   <dc:subject>CD20 antigen</dc:subject>
   <dc:subject>CD3 antigen</dc:subject>
   <dc:subject>CD5 antigen</dc:subject>
   <dc:subject>contrast medium</dc:subject>
   <dc:subject>corticosteroid</dc:subject>
   <dc:subject>glial fibrillary acidic protein</dc:subject>
   <dc:subject>glucose</dc:subject>
   <dc:subject>neurofilament protein</dc:subject>
   <dc:subject>protein</dc:subject>
   <dc:subject>synaptophysin</dc:subject>
   <dc:subject>adult</dc:subject>
   <dc:subject>arm weakness</dc:subject>
   <dc:subject>Article</dc:subject>
   <dc:subject>biceps brachii muscle</dc:subject>
   <dc:subject>case report</dc:subject>
   <dc:subject>cerebrospinal fluid analysis</dc:subject>
   <dc:subject>cervical myelopathy</dc:subject>
   <dc:subject>contrast enhancement</dc:subject>
   <dc:subject>cordotomy</dc:subject>
   <dc:subject>dermatome</dc:subject>
   <dc:subject>diffuse axonal injury</dc:subject>
   <dc:subject>digital subtraction angiography</dc:subject>
   <dc:subject>gliosis</dc:subject>
   <dc:subject>Gram staining</dc:subject>
   <dc:subject>histopathology</dc:subject>
   <dc:subject>human</dc:subject>
   <dc:subject>hypesthesia</dc:subject>
   <dc:subject>intervertebral disk hernia</dc:subject>
   <dc:subject>laminectomy</dc:subject>
   <dc:subject>lumbar puncture</dc:subject>
   <dc:subject>male</dc:subject>
   <dc:subject>muscle weakness</dc:subject>
   <dc:subject>neurologic examination</dc:subject>
   <dc:subject>nuclear magnetic resonance imaging</dc:subject>
   <dc:subject>physiotherapy</dc:subject>
   <dc:subject>priority journal</dc:subject>
   <dc:subject>spinal cord tumor</dc:subject>
   <dc:subject>spinal intramedullary tumor</dc:subject>
   <dc:subject>spine stabilization</dc:subject>
   <dc:subject>tendon reflex</dc:subject>
   <dc:description>Cervical myelopathy (CM) is mostly a degenerative process ending in myelopathic and/or radiculopathic syndromes. On T2-weighted magnetic resonance imaging (MRI), CM appears as a hyperintense area near the spondylotic spine. This high intensity signal depends on the impact of outer forces and their duration. It also determines the prognosis of the surgical candidate. A 40-year-old male patient admitted to our clinic with right upper extremity weakness and hypoesthesia that had started 2 months earlier. On neurological examination there was 2/5 motor weakness of right biceps brachii, and hypoesthesia over right C6 dermatome. Right upper extremity deep tendon reflexes were hypoactive, but lower ones were hyperactive. After clinical and radiological work-up, preliminary diagnosis was directed to a spinal intramedullary tumor. Total resection of the herniated cervical disc fragment and the mass lesion was managed. Pathology of the mass lesion was compatible with subacute infarct tissue and inflammatory response. Final diagnosis was CM under effect of cervical disc herniation. Contrast-enhanced spinal cord myelopathic lesions are very rare and resemble much more tumors and inflammatory processes. However, the principal treatment approach totally differs depending on pathology. When there are both a disc herniation and a high clinical suspicion, biopsy should be delayed. The most probable solution will be surgery for the disc disease with thorough preoperative scanning of vascular malformations, clinical and radiological close follow-up after surgery. Biopsy or surgical resection can be performed if patient deteriorates despite the primary surgery. © 2021 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T16:32:14Z</dc:date>
   <dc:date>2015</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>09769285</dc:identifier>
   <dc:identifier>09748237</dc:identifier>
   <dc:identifier>https://doi.org/10.4103/0974-8237.156073</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/12776</dc:identifier>
   <dc:identifier>10.4103/0974-8237.156073</dc:identifier>
   <dc:identifier>2-s2.0-84930011543</dc:identifier>
   <dc:identifier>92</dc:identifier>
   <dc:identifier>96</dc:identifier>
   <dc:identifier>6</dc:identifier>
   <dc:identifier>2</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>Journal of Craniovertebral Junction and Spine</dc:relation>
   <dc:relation>All Open Access</dc:relation>
   <dc:relation>Gold Open Access</dc:relation>
   <dc:relation>Green Final Open Access</dc:relation>
   <dc:relation>Green Open Access</dc:relation>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Wolters Kluwer Medknow Publications</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/13638</identifier><datestamp>2025-10-05T16:46:21Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Coupled nonparametric shape and moment-based intershape pose priors for multiple basal ganglia structure segmentation</dc:title>
   <dc:creator>Uzunbaş, Mustafa Gökhan</dc:creator>
   <dc:creator>Soldea, Octavian</dc:creator>
   <dc:creator>Ünay, Devrim</dc:creator>
   <dc:creator>Çetin, Müjdat</dc:creator>
   <dc:creator>Unal, Gozde Bozkurt</dc:creator>
   <dc:creator>Erçil, Aytül</dc:creator>
   <dc:creator>Ekin, Ahmet</dc:creator>
   <dc:contributor>Uzunbaş, Mustafa Gökhan, Faculty of Engineering and Natural Sciences, Sabancı Üniversitesi, Tuzla, Turkey, Department of Computer Science, Piscataway, United States</dc:contributor>
   <dc:contributor>Soldea, Octavian, Faculty of Engineering and Natural Sciences, Sabancı Üniversitesi, Tuzla, Turkey</dc:contributor>
   <dc:contributor>Ünay, Devrim, Department of Electrical and Electronic Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Çetin, Müjdat, Faculty of Engineering and Natural Sciences, Sabancı Üniversitesi, Tuzla, Turkey</dc:contributor>
   <dc:contributor>Unal, Gozde Bozkurt, Faculty of Engineering and Natural Sciences, Sabancı Üniversitesi, Tuzla, Turkey</dc:contributor>
   <dc:contributor>Erçil, Aytül, Faculty of Engineering and Natural Sciences, Sabancı Üniversitesi, Tuzla, Turkey</dc:contributor>
   <dc:contributor>Ekin, Ahmet, Video Processing and Analysis Group, Philips Research, Eindhoven, Netherlands</dc:contributor>
   <dc:subject>Active Contours</dc:subject>
   <dc:subject>Basal Ganglia</dc:subject>
   <dc:subject>Kernel Density Estimation</dc:subject>
   <dc:subject>Magnetic Resonance (mr) Imagery</dc:subject>
   <dc:subject>Moments</dc:subject>
   <dc:subject>Shape Prior</dc:subject>
   <dc:subject>Volumetric Segmentation</dc:subject>
   <dc:subject>Active Contours</dc:subject>
   <dc:subject>Basal Ganglia</dc:subject>
   <dc:subject>Kernel Density Estimation</dc:subject>
   <dc:subject>Moments</dc:subject>
   <dc:subject>Shape Priors</dc:subject>
   <dc:subject>Volumetric Segmentation</dc:subject>
   <dc:subject>Estimation</dc:subject>
   <dc:subject>Magnetic Resonance</dc:subject>
   <dc:subject>Magnetic Resonance Imaging</dc:subject>
   <dc:subject>Image Segmentation</dc:subject>
   <dc:subject>Adolescent</dc:subject>
   <dc:subject>Adult</dc:subject>
   <dc:subject>Aged</dc:subject>
   <dc:subject>Algorithm</dc:subject>
   <dc:subject>Article</dc:subject>
   <dc:subject>Artifact</dc:subject>
   <dc:subject>Basal Ganglion</dc:subject>
   <dc:subject>Brain</dc:subject>
   <dc:subject>Child</dc:subject>
   <dc:subject>Female</dc:subject>
   <dc:subject>Histology</dc:subject>
   <dc:subject>Human</dc:subject>
   <dc:subject>Image Processing</dc:subject>
   <dc:subject>Male</dc:subject>
   <dc:subject>Methodology</dc:subject>
   <dc:subject>Middle Aged</dc:subject>
   <dc:subject>Nonparametric Test</dc:subject>
   <dc:subject>Nuclear Magnetic Resonance Imaging</dc:subject>
   <dc:subject>Adolescent</dc:subject>
   <dc:subject>Adult</dc:subject>
   <dc:subject>Aged</dc:subject>
   <dc:subject>Algorithms</dc:subject>
   <dc:subject>Artifacts</dc:subject>
   <dc:subject>Basal Ganglia</dc:subject>
   <dc:subject>Brain</dc:subject>
   <dc:subject>Child</dc:subject>
   <dc:subject>Female</dc:subject>
   <dc:subject>Humans</dc:subject>
   <dc:subject>Image Processing, Computer-assisted</dc:subject>
   <dc:subject>Magnetic Resonance Imaging</dc:subject>
   <dc:subject>Male</dc:subject>
   <dc:subject>Middle Aged</dc:subject>
   <dc:subject>Statistics, Nonparametric</dc:subject>
   <dc:subject>Active contours</dc:subject>
   <dc:subject>Basal ganglia</dc:subject>
   <dc:subject>kernel density estimation</dc:subject>
   <dc:subject>moments</dc:subject>
   <dc:subject>Shape priors</dc:subject>
   <dc:subject>volumetric segmentation</dc:subject>
   <dc:subject>Estimation</dc:subject>
   <dc:subject>Magnetic resonance</dc:subject>
   <dc:subject>Magnetic resonance imaging</dc:subject>
   <dc:subject>Image segmentation</dc:subject>
   <dc:subject>adolescent</dc:subject>
   <dc:subject>adult</dc:subject>
   <dc:subject>aged</dc:subject>
   <dc:subject>algorithm</dc:subject>
   <dc:subject>article</dc:subject>
   <dc:subject>artifact</dc:subject>
   <dc:subject>basal ganglion</dc:subject>
   <dc:subject>brain</dc:subject>
   <dc:subject>child</dc:subject>
   <dc:subject>female</dc:subject>
   <dc:subject>histology</dc:subject>
   <dc:subject>human</dc:subject>
   <dc:subject>image processing</dc:subject>
   <dc:subject>male</dc:subject>
   <dc:subject>methodology</dc:subject>
   <dc:subject>middle aged</dc:subject>
   <dc:subject>nonparametric test</dc:subject>
   <dc:subject>nuclear magnetic resonance imaging</dc:subject>
   <dc:subject>Adolescent</dc:subject>
   <dc:subject>Adult</dc:subject>
   <dc:subject>Aged</dc:subject>
   <dc:subject>Algorithms</dc:subject>
   <dc:subject>Artifacts</dc:subject>
   <dc:subject>Basal Ganglia</dc:subject>
   <dc:subject>Brain</dc:subject>
   <dc:subject>Child</dc:subject>
   <dc:subject>Female</dc:subject>
   <dc:subject>Humans</dc:subject>
   <dc:subject>Image Processing, Computer-Assisted</dc:subject>
   <dc:subject>Magnetic Resonance Imaging</dc:subject>
   <dc:subject>Male</dc:subject>
   <dc:subject>Middle Aged</dc:subject>
   <dc:subject>Statistics, Nonparametric</dc:subject>
   <dc:description>This paper presents a new active contour-based, statistical method for simultaneous volumetric segmentation of multiple subcortical structures in the brain. In biological tissues, such as the human brain, neighboring structures exhibit co-dependencies which can aid in segmentation, if properly analyzed and modeled. Motivated by this observation, we formulate the segmentation problem as a maximum a posteriori estimation problem, in which we incorporate statistical prior models on the shapes and intershape (relative) poses of the structures of interest. This provides a principled mechanism to bring high level information about the shapes and the relationships of anatomical structures into the segmentation problem. For learning the prior densities we use a nonparametric multivariate kernel density estimation framework. We combine these priors with data in a variational framework and develop an active contour-based iterative segmentation algorithm. We test our method on the problem of volumetric segmentation of basal ganglia structures in magnetic resonance images. We present a set of 2-D and 3-D experiments as well as a quantitative performance analysis. In addition, we perform a comparison to several existent segmentation methods and demonstrate the improvements provided by our approach in terms of segmentation accuracy. © 2010 IEEE. © 2010 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T16:46:20Z</dc:date>
   <dc:date>2010</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>02780062</dc:identifier>
   <dc:identifier>1558254X</dc:identifier>
   <dc:identifier>https://doi.org/10.1109/TMI.2010.2053554</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/13638</dc:identifier>
   <dc:identifier>10.1109/TMI.2010.2053554</dc:identifier>
   <dc:identifier>2-s2.0-78649652036</dc:identifier>
   <dc:identifier>1959</dc:identifier>
   <dc:identifier>1978</dc:identifier>
   <dc:identifier>29</dc:identifier>
   <dc:identifier>12</dc:identifier>
   <dc:identifier>21118755</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>IEEE Transactions on Medical Imaging</dc:relation>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/6784</identifier><datestamp>2025-10-05T14:38:41Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>How the body remembers a traumatic event: a case study from Somatic Experiencing perspective</dc:title>
   <dc:creator>Yurdakul, Selin</dc:creator>
   <dc:creator>Özel, Dilara</dc:creator>
   <dc:creator>Gomes, Sonia</dc:creator>
   <dc:contributor>Yurdakul, Selin, Department of Neuroscience, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Özel, Dilara, College of Social Sciences, Glasgow, United Kingdom</dc:contributor>
   <dc:contributor>Gomes, Sonia, Faculty of Somatic Experiencing International, Broomfield, United States</dc:contributor>
   <dc:subject>Body-oriented Psychotherapy</dc:subject>
   <dc:subject>Heart Rate Variability</dc:subject>
   <dc:subject>Somatic Experiencing</dc:subject>
   <dc:subject>Trauma Resolution</dc:subject>
   <dc:subject>Corsense</dc:subject>
   <dc:subject>Biological Marker</dc:subject>
   <dc:subject>Hypertonic Solution</dc:subject>
   <dc:subject>Adrenergic System</dc:subject>
   <dc:subject>Adult</dc:subject>
   <dc:subject>Amnesia</dc:subject>
   <dc:subject>Anger</dc:subject>
   <dc:subject>Anxiety</dc:subject>
   <dc:subject>Article</dc:subject>
   <dc:subject>Autonomic Nervous System</dc:subject>
   <dc:subject>Body Psychotherapy</dc:subject>
   <dc:subject>Case Report</dc:subject>
   <dc:subject>Case Study</dc:subject>
   <dc:subject>Childhood Trauma</dc:subject>
   <dc:subject>Cholinergic System</dc:subject>
   <dc:subject>Clinical Article</dc:subject>
   <dc:subject>Dyspnea</dc:subject>
   <dc:subject>Electrocardiogram</dc:subject>
   <dc:subject>Emergency</dc:subject>
   <dc:subject>Emergency Care</dc:subject>
   <dc:subject>Emotion</dc:subject>
   <dc:subject>Emotion Regulation</dc:subject>
   <dc:subject>Emotional Stability</dc:subject>
   <dc:subject>Fatigue</dc:subject>
   <dc:subject>Female</dc:subject>
   <dc:subject>Financial Stress</dc:subject>
   <dc:subject>Heart Arrest</dc:subject>
   <dc:subject>Heart Arrhythmia</dc:subject>
   <dc:subject>Heart Function</dc:subject>
   <dc:subject>Heart Rate</dc:subject>
   <dc:subject>Heart Rate Variability</dc:subject>
   <dc:subject>Human</dc:subject>
   <dc:subject>Injury</dc:subject>
   <dc:subject>Intensive Care Unit</dc:subject>
   <dc:subject>Memory Disorder</dc:subject>
   <dc:subject>Mindfulness-based Intervention</dc:subject>
   <dc:subject>Nervous System</dc:subject>
   <dc:subject>Parameters</dc:subject>
   <dc:subject>Parasympathetic Function</dc:subject>
   <dc:subject>Parasympathetic Tone</dc:subject>
   <dc:subject>Photoelectric Plethysmography</dc:subject>
   <dc:subject>Physiologic Monitoring</dc:subject>
   <dc:subject>Psychoeducation</dc:subject>
   <dc:subject>Psychosomatics</dc:subject>
   <dc:subject>Psychotherapy</dc:subject>
   <dc:subject>Qualitative Analysis</dc:subject>
   <dc:subject>Quantitative Analysis</dc:subject>
   <dc:subject>Resuscitation</dc:subject>
   <dc:subject>Sadness</dc:subject>
   <dc:subject>Sensation</dc:subject>
   <dc:subject>Sinus Node</dc:subject>
   <dc:subject>Social Engagement</dc:subject>
   <dc:subject>Social Interaction</dc:subject>
   <dc:subject>Therapeutic Touch</dc:subject>
   <dc:subject>Vagus Tone</dc:subject>
   <dc:subject>Videorecording</dc:subject>
   <dc:subject>biological marker</dc:subject>
   <dc:subject>hypertonic solution</dc:subject>
   <dc:subject>adrenergic system</dc:subject>
   <dc:subject>adult</dc:subject>
   <dc:subject>amnesia</dc:subject>
   <dc:subject>anger</dc:subject>
   <dc:subject>anxiety</dc:subject>
   <dc:subject>Article</dc:subject>
   <dc:subject>autonomic nervous system</dc:subject>
   <dc:subject>body psychotherapy</dc:subject>
   <dc:subject>case report</dc:subject>
   <dc:subject>case study</dc:subject>
   <dc:subject>childhood trauma</dc:subject>
   <dc:subject>cholinergic system</dc:subject>
   <dc:subject>clinical article</dc:subject>
   <dc:subject>dyspnea</dc:subject>
   <dc:subject>electrocardiogram</dc:subject>
   <dc:subject>emergency</dc:subject>
   <dc:subject>emergency care</dc:subject>
   <dc:subject>emotion</dc:subject>
   <dc:subject>emotion regulation</dc:subject>
   <dc:subject>emotional stability</dc:subject>
   <dc:subject>fatigue</dc:subject>
   <dc:subject>female</dc:subject>
   <dc:subject>financial stress</dc:subject>
   <dc:subject>heart arrest</dc:subject>
   <dc:subject>heart arrhythmia</dc:subject>
   <dc:subject>heart function</dc:subject>
   <dc:subject>heart rate</dc:subject>
   <dc:subject>heart rate variability</dc:subject>
   <dc:subject>human</dc:subject>
   <dc:subject>injury</dc:subject>
   <dc:subject>intensive care unit</dc:subject>
   <dc:subject>memory disorder</dc:subject>
   <dc:subject>mindfulness-based intervention</dc:subject>
   <dc:subject>nervous system</dc:subject>
   <dc:subject>parameters</dc:subject>
   <dc:subject>parasympathetic function</dc:subject>
   <dc:subject>parasympathetic tone</dc:subject>
   <dc:subject>photoelectric plethysmography</dc:subject>
   <dc:subject>physiologic monitoring</dc:subject>
   <dc:subject>psychoeducation</dc:subject>
   <dc:subject>psychosomatics</dc:subject>
   <dc:subject>psychotherapy</dc:subject>
   <dc:subject>qualitative analysis</dc:subject>
   <dc:subject>quantitative analysis</dc:subject>
   <dc:subject>resuscitation</dc:subject>
   <dc:subject>sadness</dc:subject>
   <dc:subject>sensation</dc:subject>
   <dc:subject>sinus node</dc:subject>
   <dc:subject>social engagement</dc:subject>
   <dc:subject>social interaction</dc:subject>
   <dc:subject>therapeutic touch</dc:subject>
   <dc:subject>vagus tone</dc:subject>
   <dc:subject>videorecording</dc:subject>
   <dc:description>Somatic Experiencing (SE) is a body-centered approach to healing trauma that emphasises the importance of addressing physiological responses to traumatic experiences. This case study explores the therapeutic SE session in addressing medical trauma, focusing on a 38-year-old female who experienced cardiac arrest. The convergent mixed-method design integrates qualitative and quantitative data to provide a comprehensive analysis of the client’s journey through one SE therapy session. Central to this study is the examination of heart rate variability (HRV) as a measure of autonomic nervous system (ANS) regulation. The findings illustrate how SE facilitates the restoration of autonomic balance and emotional regulation through body-centred interventions and therapist-assisted touch. HRV data revealed significant fluctuations corresponding to the client’s emotional and physiological states revealed in video recording of the session, highlighting the interplay between sympathetic and parasympathetic responses during the session. This study underscores the importance of incorporating physiological monitoring to enhance our understanding and treatment of trauma-related disorders. © 2025 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T14:38:41Z</dc:date>
   <dc:date>2025</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>17432987</dc:identifier>
   <dc:identifier>17432979</dc:identifier>
   <dc:identifier>https://doi.org/10.1080/17432979.2025.2481032</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/6784</dc:identifier>
   <dc:identifier>10.1080/17432979.2025.2481032</dc:identifier>
   <dc:identifier>2-s2.0-105000695836</dc:identifier>
   <dc:identifier>250</dc:identifier>
   <dc:identifier>267</dc:identifier>
   <dc:identifier>20</dc:identifier>
   <dc:identifier>3</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>Body, Movement and Dance in Psychotherapy</dc:relation>
   <dc:publisher>Taylor and Francis Ltd.</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/19123</identifier><datestamp>2025-10-09T12:05:30Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Investigation of the Fe3+ centers in perovskite KMgF3 through a combination of ab initio (density functional theory) and semi-empirical (superposition model) calculations</dc:title>
   <dc:creator>Emul, Y.</dc:creator>
   <dc:creator>Erbahar, D.</dc:creator>
   <dc:creator>Acikgoz, M.</dc:creator>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:contributor>Cumhuriyet University</dc:contributor>
   <dc:contributor>Gebze Technical University</dc:contributor>
   <dc:contributor>Centre National de la Recherche Scientifique (CNRS)</dc:contributor>
   <dc:contributor>CNRS - Institute of Chemistry (INC)</dc:contributor>
   <dc:contributor>Nantes Universite</dc:contributor>
   <dc:subject>Physics, Applied</dc:subject>
   <dc:subject>FIELD SPLITTING PARAMETERS</dc:subject>
   <dc:subject>SPIN-HAMILTONIAN PARAMETERS</dc:subject>
   <dc:subject>TETRAGONAL FEF5O CLUSTER</dc:subject>
   <dc:subject>SINGLE-CRYSTALS</dc:subject>
   <dc:subject>EPR-SPECTRA</dc:subject>
   <dc:subject>RESONANCE</dc:subject>
   <dc:subject>IONS</dc:subject>
   <dc:subject>PSEUDOPOTENTIALS</dc:subject>
   <dc:subject>DISTORTIONS</dc:subject>
   <dc:subject>KZNF3</dc:subject>
   <dc:description>Analyses of the local crystal and electronic structure in the vicinity of Fe3+ centers in perovskite KMgF3 crystal have been carried out in a comprehensive manner. A combination of density functional theory (DFT) and a semi-empirical superposition model (SPM) is used for a complete analysis of all Fe3+ centers in this study for the first time. Some quantitative information has been derived from the DFT calculations on both the electronic structure and the local geometry around Fe3+ centers. All of the trigonal (K-vacancy case, K-Li substitution case, and normal trigonal Fe3+ center case), FeF5O cluster, and tetragonal (Mg-vacancy and Mg-Li substitution cases) centers have been taken into account based on the previously suggested experimental and theoretical inferences. The collaboration between the experimental data and the results of both DFT and SPM calculations provides us to understand most probable structural model for Fe3+ centers in KMgF3. (C) 2015 AIP Publishing LLC.</dc:description>
   <dc:date>2025-10-09T12:05:30Z</dc:date>
   <dc:date>2015</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>0021-8979</dc:identifier>
   <dc:identifier>1089-7550</dc:identifier>
   <dc:identifier>http://dx.doi.org/10.1063/1.4928327</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/19123</dc:identifier>
   <dc:identifier>10.1063/1.4928327</dc:identifier>
   <dc:identifier>118</dc:identifier>
   <dc:identifier>6</dc:identifier>
   <dc:identifier>Science Citation Index Expanded (SCI-EXPANDED)</dc:identifier>
   <dc:identifier>WOS:000359798600009</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>JOURNAL OF APPLIED PHYSICS</dc:relation>
   <dc:publisher>AMER INST PHYSICS</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/13265</identifier><datestamp>2025-10-05T16:41:09Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>The impacts of prestige projects on the skyline of Istanbul</dc:title>
   <dc:creator>Akdağ, Suzan Girginkaya</dc:creator>
   <dc:creator>Bostancı, Seda H.</dc:creator>
   <dc:contributor>Akdağ, Suzan Girginkaya, Faculty of Architecture and Design, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Bostancı, Seda H., Provincial Governments Program, Istanbul Okan University, Tuzla, Turkey</dc:contributor>
   <dc:subject>Aesthetic Quality</dc:subject>
   <dc:subject>Entropy</dc:subject>
   <dc:subject>Gis Models</dc:subject>
   <dc:subject>Prestige Projects</dc:subject>
   <dc:subject>Urban Skylines</dc:subject>
   <dc:description>The concept of prestige projects for cities is related to governments' politics and visions. Under the effects of globalization, central and local authorities have constructedcompetitive cities. But these cities also have important historical qualities hence theseprocesses have to be made by a holistic planning vision and conservation strategy. Forinstance, if a city waterfront skyline has a strong image, new constructions should bedesigned in harmony with the local topography and urban pattern. This paper is based onmathematical and computer based approaches for evaluating aesthetic qualities of cityskylines. Therefore a case study on high rise buildings in the main prestige CBD ofIstanbul is done. GIS models of Maslak-Zincirlikuyu axis is made and its past, presentand future skylines are extracted by database querying and visual analysis. The skylinesderived are finally measured by entropy analyses based on formal aestheticcharacteristics. © 2013 Archnet-IJAR, International Journal of Architectural Research. © 2024 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T16:41:09Z</dc:date>
   <dc:date>2013</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>19387806</dc:identifier>
   <dc:identifier>26316862</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/13265</dc:identifier>
   <dc:identifier>2-s2.0-84886776366</dc:identifier>
   <dc:identifier>269</dc:identifier>
   <dc:identifier>281</dc:identifier>
   <dc:identifier>7</dc:identifier>
   <dc:identifier>2</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>Archnet-IJAR: International Journal of Architectural Research</dc:relation>
   <dc:publisher>ArchNet</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/11411</identifier><datestamp>2026-06-14T00:00:33Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Inhibition of acetylcholinesterase and butyrylcholinesterase with uracil derivatives: kinetic and computational studies</dc:title>
   <dc:creator>Çavdar, Hüseyin</dc:creator>
   <dc:creator>Şentürk, Murat</dc:creator>
   <dc:creator>Güney, Murat</dc:creator>
   <dc:creator>Durdagi, Serdar</dc:creator>
   <dc:creator>Kayık, Gülru</dc:creator>
   <dc:creator>Supuran, Claudiu T.</dc:creator>
   <dc:creator>Ekinci, Deniz</dc:creator>
   <dc:contributor>Çavdar, Hüseyin, Department of Educational Sciences, Dumlupinar Üniversitesi, Kutahya, Turkey</dc:contributor>
   <dc:contributor>Şentürk, Murat, Department of Basic Pharmaceutical Sciences, Aǧrı İbrahim Çeçen Üniversitesi, Agri, Turkey</dc:contributor>
   <dc:contributor>Güney, Murat, Department of Chemistry, Aǧrı İbrahim Çeçen Üniversitesi, Agri, Turkey</dc:contributor>
   <dc:contributor>Durdagi, Serdar, Department of Biophysics, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Kayık, Gülru, Department of Biophysics, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Supuran, Claudiu T., Department of NEUROFARBA, Università degli Studi di Firenze, Florence, Italy</dc:contributor>
   <dc:contributor>Ekinci, Deniz, Department of Agricultural Biotechnology, Ondokuz Mayis Üniversitesi, Samsun, Turkey</dc:contributor>
   <dc:subject>Acetylcholinesterase</dc:subject>
   <dc:subject>Alzheimer’s Disease</dc:subject>
   <dc:subject>Butyrylcholinesterase</dc:subject>
   <dc:subject>Docking</dc:subject>
   <dc:subject>Inhibitor</dc:subject>
   <dc:subject>Md Simulations</dc:subject>
   <dc:subject>Uracil Derivatives</dc:subject>
   <dc:subject>Acetylcholinesterase</dc:subject>
   <dc:subject>Amino Acid</dc:subject>
   <dc:subject>Cholinesterase</dc:subject>
   <dc:subject>Donepezil</dc:subject>
   <dc:subject>Neostigmine</dc:subject>
   <dc:subject>Uracil</dc:subject>
   <dc:subject>Acetylcholinesterase</dc:subject>
   <dc:subject>Butyrylcholinesterase</dc:subject>
   <dc:subject>Cholinesterase Inhibitors</dc:subject>
   <dc:subject>Ligands</dc:subject>
   <dc:subject>Uracil</dc:subject>
   <dc:subject>Acetylcholinesterase</dc:subject>
   <dc:subject>Amino Acid</dc:subject>
   <dc:subject>Cholinesterase</dc:subject>
   <dc:subject>Donepezil</dc:subject>
   <dc:subject>Ligand</dc:subject>
   <dc:subject>Neostigmine</dc:subject>
   <dc:subject>Uracil Derivative</dc:subject>
   <dc:subject>Cholinesterase Inhibitor</dc:subject>
   <dc:subject>Uracil</dc:subject>
   <dc:subject>Article</dc:subject>
   <dc:subject>Drug Binding Site</dc:subject>
   <dc:subject>Drug Mechanism</dc:subject>
   <dc:subject>Drug Screening</dc:subject>
   <dc:subject>Enzyme Active Site</dc:subject>
   <dc:subject>Enzyme Inhibition</dc:subject>
   <dc:subject>Enzyme Kinetics</dc:subject>
   <dc:subject>Ic50</dc:subject>
   <dc:subject>Molecular Docking</dc:subject>
   <dc:subject>Molecular Dynamics</dc:subject>
   <dc:subject>Molecular Interaction</dc:subject>
   <dc:subject>Priority Journal</dc:subject>
   <dc:subject>Structure Activity Relation</dc:subject>
   <dc:subject>Analogs And Derivatives</dc:subject>
   <dc:subject>Animal</dc:subject>
   <dc:subject>Chemical Structure</dc:subject>
   <dc:subject>Chemistry</dc:subject>
   <dc:subject>Dose Response</dc:subject>
   <dc:subject>Electrophorus</dc:subject>
   <dc:subject>Horse</dc:subject>
   <dc:subject>Kinetics</dc:subject>
   <dc:subject>Metabolism</dc:subject>
   <dc:subject>Molecular Model</dc:subject>
   <dc:subject>Synthesis</dc:subject>
   <dc:subject>Acetylcholinesterase</dc:subject>
   <dc:subject>Animals</dc:subject>
   <dc:subject>Butyrylcholinesterase</dc:subject>
   <dc:subject>Cholinesterase Inhibitors</dc:subject>
   <dc:subject>Dose-response Relationship, Drug</dc:subject>
   <dc:subject>Horses</dc:subject>
   <dc:subject>Kinetics</dc:subject>
   <dc:subject>Ligands</dc:subject>
   <dc:subject>Models, Molecular</dc:subject>
   <dc:subject>Molecular Structure</dc:subject>
   <dc:subject>Structure-activity Relationship</dc:subject>
   <dc:subject>Uracil</dc:subject>
   <dc:subject>acetylcholinesterase</dc:subject>
   <dc:subject>amino acid</dc:subject>
   <dc:subject>cholinesterase</dc:subject>
   <dc:subject>donepezil</dc:subject>
   <dc:subject>ligand</dc:subject>
   <dc:subject>neostigmine</dc:subject>
   <dc:subject>uracil derivative</dc:subject>
   <dc:subject>cholinesterase inhibitor</dc:subject>
   <dc:subject>uracil</dc:subject>
   <dc:subject>Article</dc:subject>
   <dc:subject>drug binding site</dc:subject>
   <dc:subject>drug mechanism</dc:subject>
   <dc:subject>drug screening</dc:subject>
   <dc:subject>enzyme active site</dc:subject>
   <dc:subject>enzyme inhibition</dc:subject>
   <dc:subject>enzyme kinetics</dc:subject>
   <dc:subject>IC50</dc:subject>
   <dc:subject>molecular docking</dc:subject>
   <dc:subject>molecular dynamics</dc:subject>
   <dc:subject>molecular interaction</dc:subject>
   <dc:subject>priority journal</dc:subject>
   <dc:subject>structure activity relation</dc:subject>
   <dc:subject>analogs and derivatives</dc:subject>
   <dc:subject>animal</dc:subject>
   <dc:subject>chemical structure</dc:subject>
   <dc:subject>chemistry</dc:subject>
   <dc:subject>dose response</dc:subject>
   <dc:subject>Electrophorus</dc:subject>
   <dc:subject>horse</dc:subject>
   <dc:subject>kinetics</dc:subject>
   <dc:subject>metabolism</dc:subject>
   <dc:subject>molecular model</dc:subject>
   <dc:subject>synthesis</dc:subject>
   <dc:subject>Acetylcholinesterase</dc:subject>
   <dc:subject>Animals</dc:subject>
   <dc:subject>Butyrylcholinesterase</dc:subject>
   <dc:subject>Cholinesterase Inhibitors</dc:subject>
   <dc:subject>Dose-Response Relationship, Drug</dc:subject>
   <dc:subject>Horses</dc:subject>
   <dc:subject>Kinetics</dc:subject>
   <dc:subject>Ligands</dc:subject>
   <dc:subject>Models, Molecular</dc:subject>
   <dc:subject>Molecular Structure</dc:subject>
   <dc:subject>Structure-Activity Relationship</dc:subject>
   <dc:subject>Uracil</dc:subject>
   <dc:description>Acetylcholinesterase (AChE) and Butyrylcholinesterase (BuChE) inhibitors are interesting compounds for different therapeutic applications, among which Alzheimer’s disease. Here, we investigated the inhibition of these cholinesterases with uracil derivatives. The mechanism of inhibition of these enzymes was observed to be due to obstruction of the active site entrance by the inhibitors scaffold. Molecular docking and molecular dynamics (MD) simulations demonstrated the possible key interactions between the studied ligands and amino acid residues at different regions of the active sites of AChE and BuChE. Being diverse of the classical AChE and BuChE inhibitors, the investigated uracil derivatives may be used as lead molecules for designing new therapeutically effective enzyme inhibitors. © 2019 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T16:04:17Z</dc:date>
   <dc:date>2019</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>14756366</dc:identifier>
   <dc:identifier>14756374</dc:identifier>
   <dc:identifier>https://doi.org/10.1080/14756366.2018.1543288</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/11411</dc:identifier>
   <dc:identifier>10.1080/14756366.2018.1543288</dc:identifier>
   <dc:identifier>2-s2.0-85059769768</dc:identifier>
   <dc:identifier>429</dc:identifier>
   <dc:identifier>437</dc:identifier>
   <dc:identifier>34</dc:identifier>
   <dc:identifier>1</dc:identifier>
   <dc:identifier>30734597</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>Journal of Enzyme Inhibition and Medicinal Chemistry</dc:relation>
   <dc:relation>All Open Access</dc:relation>
   <dc:relation>Gold Open Access</dc:relation>
   <dc:relation>Green Final Open Access</dc:relation>
   <dc:relation>Green Open Access</dc:relation>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Taylor and Francis Ltd</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/14305</identifier><datestamp>2025-10-09T10:33:35Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Drug Re-Positioning Studies for Novel HIV-1 Inhibitors Using Binary QSAR Models and Multi-Target-DrivenIn SilicoStudies</dc:title>
   <dc:creator>Dogan, Berna</dc:creator>
   <dc:creator>Durdagi, Serdar</dc:creator>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:subject>Chemistry, Medicinal</dc:subject>
   <dc:subject>Computer Science, Interdisciplinary Applications</dc:subject>
   <dc:subject>Mathematical &amp; Computational Biology</dc:subject>
   <dc:subject>HIV</dc:subject>
   <dc:subject>Virtual Screening</dc:subject>
   <dc:subject>Molecular Dynamics</dc:subject>
   <dc:subject>Drug Re-positioning</dc:subject>
   <dc:subject>Multi-target drugs</dc:subject>
   <dc:subject>DESIGNED DUAL INHIBITORS</dc:subject>
   <dc:subject>BINDING FREE-ENERGY</dc:subject>
   <dc:subject>REVERSE-TRANSCRIPTASE</dc:subject>
   <dc:subject>PROTONATION STATE</dc:subject>
   <dc:subject>COUMARIN DERIVATIVES</dc:subject>
   <dc:subject>MULTITARGET DRUGS</dc:subject>
   <dc:subject>PROTEASE</dc:subject>
   <dc:subject>DYNAMICS</dc:subject>
   <dc:subject>COMBINATION</dc:subject>
   <dc:subject>PREDICTION</dc:subject>
   <dc:description>Current antiretroviral therapies against HIV involve the usage of at least two drugs that target different stages of HIV life cycle. However, potential drug interactions and side effects pose a problem. A promising concept for complex disease treatment is 'one molecule-multiple target' approach to overcome undesired effects of multiple drugs. Additionally, it is beneficial to consider drug re-purposing due to the cost of taking a drug into the market. Taking these into account, here potential anti-HIV compounds are suggested by virtually screening small approved drug molecules and clinical candidates. Initially, binary QSAR models are used to predict the therapeutic activity of around 7900 compounds against HIV and to predict the toxicity of molecules with high therapeutic activities. Selected compounds are considered for molecular docking studies against two targets, HIV-1 protease enzyme, and chemokine co-receptor CCR5. The top docking poses for all 549 molecules are then subjected to short (1 ns) individual molecular dynamics (MD) simulations and they are ranked based on their calculated relative binding free energies. Finally, 25 molecules are selected for long (200 ns) MD simulations, and 5 molecules are suggested as promising multi-target HIV agents. The results of this study may open new avenues for the designing of new dual HIV-1 inhibitor scaffolds.</dc:description>
   <dc:date>2025-10-09T10:33:35Z</dc:date>
   <dc:date>2021</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>1868-1743</dc:identifier>
   <dc:identifier>1868-1751</dc:identifier>
   <dc:identifier>http://dx.doi.org/10.1002/minf.202000012</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/14305</dc:identifier>
   <dc:identifier>10.1002/minf.202000012</dc:identifier>
   <dc:identifier>40</dc:identifier>
   <dc:identifier>2</dc:identifier>
   <dc:identifier>33405326</dc:identifier>
   <dc:identifier>Science Citation Index Expanded (SCI-EXPANDED)</dc:identifier>
   <dc:identifier>WOS:000569399500001</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>MOLECULAR INFORMATICS</dc:relation>
   <dc:relation>Scientific and Technological Research Council of Turkey (TUBITAK) [TUBITAK-2218]</dc:relation>
   <dc:relation>Scientific and Technological Research Council of Turkey (TUBITAK)(Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK))</dc:relation>
   <dc:relation>This study has been financially funded by Scientific and Technological Research Council of Turkey (TUBITAK) under the program of TUBITAK-2218.</dc:relation>
   <dc:publisher>WILEY-V C H VERLAG GMBH</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/400</identifier><datestamp>2025-07-08T14:17:23Z</datestamp><setSpec>com_20.500.14719_392</setSpec><setSpec>col_20.500.14719_2049</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Türkiye'de çevre:sorunlar,aktörler ve yeni alanlar</dc:title>
   <dc:creator>Baykan, Barış Gençer</dc:creator>
   <dc:subject>Türkiye'de çevre</dc:subject>
   <dc:subject>aktörler</dc:subject>
   <dc:date>2015-10-21T06:47:28Z</dc:date>
   <dc:date>2015-10-21T06:47:28Z</dc:date>
   <dc:date>2008-05-08</dc:date>
   <dc:type>Other</dc:type>
   <dc:identifier>https://hdl.handle.net/20.500.14719/400</dc:identifier>
   <dc:relation>Araştırma notu;08/5</dc:relation>
   <dc:format>application/msword</dc:format>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/12886</identifier><datestamp>2025-10-05T16:34:14Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>The local environment of Cr3+ impurities in normal and x-rays irradiated carbon doped ruby: An electron paramagnetic resonance (EPR) study</dc:title>
   <dc:creator>Kazan, Sinan</dc:creator>
   <dc:creator>Açıkgöz, Muhammed</dc:creator>
   <dc:creator>Yalçin, Orhan</dc:creator>
   <dc:contributor>Kazan, Sinan, Department of Physics, Gebze Teknik Üniversitesi, Gebze, Turkey</dc:contributor>
   <dc:contributor>Açıkgöz, Muhammed, Faculty of Arts and Sciences, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Yalçin, Orhan, Department of Physics, Niğde Ömer Halisdemir University, Nigde, Turkey</dc:contributor>
   <dc:subject>Cr3+</dc:subject>
   <dc:subject>Electron Paramagnetic Resonance</dc:subject>
   <dc:subject>Irradiation</dc:subject>
   <dc:subject>Zero-field Splitting</dc:subject>
   <dc:subject>Alumina</dc:subject>
   <dc:subject>Aluminum Oxide</dc:subject>
   <dc:subject>Carbon</dc:subject>
   <dc:subject>Electron Resonance</dc:subject>
   <dc:subject>Impurities</dc:subject>
   <dc:subject>Irradiation</dc:subject>
   <dc:subject>Paramagnetic Resonance</dc:subject>
   <dc:subject>Paramagnetism</dc:subject>
   <dc:subject>Point Defects</dc:subject>
   <dc:subject>X Rays</dc:subject>
   <dc:subject>Commercial Products</dc:subject>
   <dc:subject>Electron Paramagnetic Resonances (epr)</dc:subject>
   <dc:subject>Irradiated Samples</dc:subject>
   <dc:subject>Local Environments</dc:subject>
   <dc:subject>Local Structure</dc:subject>
   <dc:subject>Spin Hamiltonian Parameters</dc:subject>
   <dc:subject>Superposition Model</dc:subject>
   <dc:subject>Zero-field Splittings</dc:subject>
   <dc:subject>Electron Spin Resonance Spectroscopy</dc:subject>
   <dc:subject>Alumina</dc:subject>
   <dc:subject>Aluminum oxide</dc:subject>
   <dc:subject>Carbon</dc:subject>
   <dc:subject>Electron resonance</dc:subject>
   <dc:subject>Impurities</dc:subject>
   <dc:subject>Irradiation</dc:subject>
   <dc:subject>Paramagnetic resonance</dc:subject>
   <dc:subject>Paramagnetism</dc:subject>
   <dc:subject>Point defects</dc:subject>
   <dc:subject>X rays</dc:subject>
   <dc:subject>Commercial products</dc:subject>
   <dc:subject>Electron paramagnetic resonances (EPR)</dc:subject>
   <dc:subject>Irradiated samples</dc:subject>
   <dc:subject>Local environments</dc:subject>
   <dc:subject>Local structure</dc:subject>
   <dc:subject>Spin Hamiltonian parameters</dc:subject>
   <dc:subject>Superposition model</dc:subject>
   <dc:subject>Zero-field splittings</dc:subject>
   <dc:subject>Electron spin resonance spectroscopy</dc:subject>
   <dc:description>Local environment of substitutional paramagnetic point defect (impurity) in normal and x-ray irradiated commercially available α-Al&lt;inf>2&lt;/inf>O&lt;inf>3&lt;/inf>:C samples (commercial product of Landauer, Inc.) has been studied by using the electron paramagnetic resonance (EPR) technique at room temperature. In both samples the EPR spectra showed strongly angular dependent behavior. The zero-field splitting (ZFS) parameters (ZFSPs) have been determined for substitutional Cr3+ centers. The observed additional EPR signals for x-ray irradiated sample were attributed to another center with different spin Hamiltonian (SH) parameters. In addition to the experimental findings, the ZFSPs and the local structure of the Cr3+ ions were theoretically determined using superposition model (SPM) calculations. © 2018 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T16:34:14Z</dc:date>
   <dc:date>2015</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>03048853</dc:identifier>
   <dc:identifier>https://doi.org/10.1016/j.jmmm.2014.02.012</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/12886</dc:identifier>
   <dc:identifier>10.1016/j.jmmm.2014.02.012</dc:identifier>
   <dc:identifier>2-s2.0-84908326702</dc:identifier>
   <dc:identifier>244</dc:identifier>
   <dc:identifier>249</dc:identifier>
   <dc:identifier>373</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>Journal of Magnetism and Magnetic Materials</dc:relation>
   <dc:publisher>Elsevier B.V.</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/5869</identifier><datestamp>2026-06-18T18:16:14Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2015</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Öğretmenlerin görüşlerine göre okul öncesi eğitim Kurumlarında görev yapan yöneticilerin sahip olması gereken özellikler</dc:title>
   <dc:creator>ÖZGE HACIFAZLIOĞLU</dc:creator>
   <dc:creator>Mery SUSMAK</dc:creator>
   <dc:contributor>BAHÇEŞEHİR ÜNİVERSİTESİ</dc:contributor>
   <dc:contributor>Tanımlanmamış Kurum</dc:contributor>
   <dc:subject>Eğitim</dc:subject>
   <dc:subject>Eğitim Araştırmaları</dc:subject>
   <dc:description>Bu araştırma, öğretmen bakış açılarına göre okul öncesi yöneticilerininsahip olması gereken özellikleri ortaya koymayı amaçlamıştır. Araştırmanınveri toplama aşamasında ölçme aracının uygulanması ve odak grupgörüşmesi yöntemlerinden yararlanılmıştır. Araştırmanın katılımcı grubunu,ölçme aracına cevap veren 62 öğretmen ve odak grup tartışmalarınakatılan 20 öğretmen olmak üzere, toplam 82 okul öncesi öğretmenioluşturmaktadır. Araştırmada nicel veri toplama aracı olarak, Ergin (1996)tarafından geliştirilmiş ölçek kullanılmıştır. Önem verilen özelliklerinkarşılaştırılmasında aritmetik ortalama değerleri hesaplanmıştır. Nitelverilerin analizinde ise içerik analizi kullanılmıştır. Gerek ölçme aracınaverilen cevaplarda gerekse odak grup görüşmelerinde, takım ruhu ve insana değer verme okul öncesi eğitim kurumlarının yöneticilerindebulunması istenilen özellikler olarak belirlenmiştir. Öncülük ve Dışgörünüş en düşük değerleri alan boyutlar olarak belirlenmiştir.</dc:description>
   <dc:date>2025-09-20T20:03:38Z</dc:date>
   <dc:date>2013</dc:date>
   <dc:date>2022-07-29</dc:date>
   <dc:type>Research Article</dc:type>
   <dc:identifier>1308-9196</dc:identifier>
   <dc:identifier>1308-7363</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/5869</dc:identifier>
   <dc:identifier>205</dc:identifier>
   <dc:identifier>226</dc:identifier>
   <dc:identifier>0</dc:identifier>
   <dc:identifier>13</dc:identifier>
   <dc:language>tr</dc:language>
   <dc:relation>Adıyaman Üniversitesi Sosyal Bilimler Enstitü Dergisi</dc:relation>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/12598</identifier><datestamp>2025-10-05T16:28:25Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Analyzing playability in multi-platform games: A case study of the Fruit Ninja Game</dc:title>
   <dc:creator>Aker, Çakır</dc:creator>
   <dc:creator>Rızvanoğlu, Kerem</dc:creator>
   <dc:creator>Inal, Yavuz</dc:creator>
   <dc:creator>Yılmaz, Alan Sarp</dc:creator>
   <dc:contributor>Marcus, A.</dc:contributor>
   <dc:contributor>Aker, Çakır, Faculty of Communication, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Rızvanoğlu, Kerem, Faculty of Communication, Galatasaray Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Inal, Yavuz, Türkiye Bilimsel ve Teknolojik Araştirma Kurumu, Kavaklidere, Turkey</dc:contributor>
   <dc:contributor>Yılmaz, Alan Sarp, Faculty of Communication, Galatasaray Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:subject>Game Controllers</dc:subject>
   <dc:subject>Gesture Based</dc:subject>
   <dc:subject>Playability</dc:subject>
   <dc:subject>Player Experience</dc:subject>
   <dc:subject>Usability</dc:subject>
   <dc:subject>User Experience</dc:subject>
   <dc:subject>Interactive Computer Graphics</dc:subject>
   <dc:subject>Usability Engineering</dc:subject>
   <dc:subject>Game Controller</dc:subject>
   <dc:subject>Gesture Based</dc:subject>
   <dc:subject>Playability</dc:subject>
   <dc:subject>Player Experience</dc:subject>
   <dc:subject>Usability</dc:subject>
   <dc:subject>User Experience</dc:subject>
   <dc:subject>Human Computer Interaction</dc:subject>
   <dc:subject>Interactive computer graphics</dc:subject>
   <dc:subject>Usability engineering</dc:subject>
   <dc:subject>Game controller</dc:subject>
   <dc:subject>Gesture based</dc:subject>
   <dc:subject>Playability</dc:subject>
   <dc:subject>Player experience</dc:subject>
   <dc:subject>Usability</dc:subject>
   <dc:subject>User experience</dc:subject>
   <dc:subject>Human computer interaction</dc:subject>
   <dc:description>Video games offer new perspectives for discussions and studies on user experience, which results in a change of the relevant terms in the context of gaming, replacing ‘usability’ with ‘playability’ and ‘user experience’ (UX) with ‘player experience’ (PX). PX can be inspected in various gaming platforms, which present diverse interaction methods through different peripherals, consequently uncovering the complex nature of video games. Therefore, it is critical to understand the nature of PX through user research. However, limited number of studies investigated PX and playability in detail in order to create an analysis framework for entertainment systems by referring to former UX and usability methodologies. Majority of those studies presented a set of playability heuristics on theoretical basis, which still required to be tested through empirical research in various gaming platforms. In this context, this study focuses on the qualitative analysis of multi-platform PX through a proposed playability heuristics framework derived from relevant literature. This study aims to test the proposed framework in a multi-platform game setting and thus seek ways to contribute to the establishment of a new comprehensive analysis framework to understand multiplatform PX. For this purpose, a qualitative multi-method study based on game platform diversity is designed to measure player experience with 8 users in two different gaming platforms which is based on mobile and full body gesture based interaction. Besides revealing the effect of On-Screen elements on PX such as game interface, mechanics and gameplay, the study also presents promising findings for the effect of Off-Screen aspects such as the environmental and social factors. © 2017 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T16:28:25Z</dc:date>
   <dc:date>2016</dc:date>
   <dc:type>Conference Paper</dc:type>
   <dc:identifier>16113349</dc:identifier>
   <dc:identifier>03029743</dc:identifier>
   <dc:identifier>https://doi.org/10.1007/978-3-319-40355-7_22</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/12598</dc:identifier>
   <dc:identifier>10.1007/978-3-319-40355-7_22</dc:identifier>
   <dc:identifier>2-s2.0-84977514745</dc:identifier>
   <dc:identifier>229</dc:identifier>
   <dc:identifier>239</dc:identifier>
   <dc:identifier>9747</dc:identifier>
   <dc:identifier>Toronto, ON</dc:identifier>
   <dc:identifier>5th International Conference on Design, User Experience, and Usability, DUXU 2016 Held as Part of 18th International Conference on Human-Computer Interaction, HCI International 2016</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>Lecture Notes in Computer Science</dc:relation>
   <dc:publisher>Springer Verlag service@springer.de</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/5829</identifier><datestamp>2026-06-18T18:16:15Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2015</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Bubble Over the Head: Adeloye-Odeku Disease in a Turkish Child-Case Report</dc:title>
   <dc:creator>Tanrıkulu, Bahattin</dc:creator>
   <dc:creator>Ekşi, Murat Şakir</dc:creator>
   <dc:creator>Yılmaz, Baran</dc:creator>
   <dc:creator>Urgun, Kamran</dc:creator>
   <dc:creator>Bayri, Yaşar</dc:creator>
   <dc:contributor>Marmara Üniversitesi</dc:contributor>
   <dc:contributor>Marmara Üniversitesi</dc:contributor>
   <dc:contributor>T.C. Sağlık Bakanlığı</dc:contributor>
   <dc:contributor>Bahçeşehir Üniversitesi</dc:contributor>
   <dc:contributor>Marmara Üniversitesi</dc:contributor>
   <dc:subject>Genel ve Dahili Tıp</dc:subject>
   <dc:subject>Patoloji</dc:subject>
   <dc:description>Adeloye-Odeku hastalığı, anterior fontanel üzerinde yerleşimli dermoid kistleri tanımlar ve ilk kez 1971 yılında literatüre girmiştir. Bregmaüzerinde yumuşak ve hareketli bir şişlik tespit ettiğimiz, 11 yaşındaki bir kız olguyu sunmaktayız. Lezyon içeriği T2 ve FLAIR ağırlıklı MRincelemelerinde beyin-omurilik sıvısı ile izointensti. Beyin tomografisinde lezyonun altındaki kalvaryumda kemik defekt vardı. Lezyontamamen çıkarıldı ve histopatolojik tanısı dermoid kist olarak geldi. Bu olguda daha önce bildirilmemiş olan, lezyon ile sagital sinüs arasındafibröz bir bantın varlığıydı. Bu sebeple, bu tür lezyonlar her ne kadar subaponörotik yerleşimli olsalar da, ameliyatı planlamadan önce olgularınnöroradyolojik çalışmaları detaylı olarak yapılmalıdır.</dc:description>
   <dc:date>2025-09-20T20:03:24Z</dc:date>
   <dc:date>2014</dc:date>
   <dc:date>2022-07-29</dc:date>
   <dc:type>Research Article</dc:type>
   <dc:identifier>1019-5149</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/5829</dc:identifier>
   <dc:identifier>579</dc:identifier>
   <dc:identifier>582</dc:identifier>
   <dc:identifier>24</dc:identifier>
   <dc:identifier>4</dc:identifier>
   <dc:language>tr</dc:language>
   <dc:relation>Turkish Neurosurgery</dc:relation>
   <dc:format>application/pdf</dc:format>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/13027</identifier><datestamp>2025-10-05T16:36:56Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Peak discharge prediction due to embankment dam break by using sensitivity analysis based ANN</dc:title>
   <dc:creator>Pektaş, Ali Osman</dc:creator>
   <dc:creator>Erdik, T.</dc:creator>
   <dc:contributor>Pektaş, Ali Osman, Department of Environmental Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Erdik, T., Department of Civil Engineering, İstanbul Teknik Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:subject>Artificial Neural Networks</dc:subject>
   <dc:subject>Embankment Dam Failure</dc:subject>
   <dc:subject>Multilayer Perceptrons</dc:subject>
   <dc:subject>Peak Discharge</dc:subject>
   <dc:subject>Sensitivity Analysis</dc:subject>
   <dc:subject>Variable Importance</dc:subject>
   <dc:subject>Disasters</dc:subject>
   <dc:subject>Failure (mechanical)</dc:subject>
   <dc:subject>Floods</dc:subject>
   <dc:subject>Multilayer Neural Networks</dc:subject>
   <dc:subject>Neural Networks</dc:subject>
   <dc:subject>Regression Analysis</dc:subject>
   <dc:subject>Sensitivity Analysis</dc:subject>
   <dc:subject>Accurate Prediction</dc:subject>
   <dc:subject>Flood Areas</dc:subject>
   <dc:subject>Flood Plains</dc:subject>
   <dc:subject>Loss Of Life</dc:subject>
   <dc:subject>Numerical Errors</dc:subject>
   <dc:subject>Peak Discharge</dc:subject>
   <dc:subject>Property Damage</dc:subject>
   <dc:subject>Variable Importances</dc:subject>
   <dc:subject>Embankment Dams</dc:subject>
   <dc:subject>Disasters</dc:subject>
   <dc:subject>Failure (mechanical)</dc:subject>
   <dc:subject>Floods</dc:subject>
   <dc:subject>Multilayer neural networks</dc:subject>
   <dc:subject>Neural networks</dc:subject>
   <dc:subject>Regression analysis</dc:subject>
   <dc:subject>Sensitivity analysis</dc:subject>
   <dc:subject>Accurate prediction</dc:subject>
   <dc:subject>Flood areas</dc:subject>
   <dc:subject>Flood plains</dc:subject>
   <dc:subject>Loss of life</dc:subject>
   <dc:subject>Numerical errors</dc:subject>
   <dc:subject>Peak discharge</dc:subject>
   <dc:subject>Property damage</dc:subject>
   <dc:subject>Variable importances</dc:subject>
   <dc:subject>Embankment dams</dc:subject>
   <dc:description>Accurate prediction of peak discharges due to embankment dam failure is essential to identifying and reducing potential for loss of life and damage in the downstream floodplain. Because, when a dam fails the damage is certain, but the extent of this damage cannot be evaluated in advance. The loss of life and property damage can vary depending on flood area and population. In order to cope with embankment dam breaching and to take necessary steps beforehand many researchers worked on parametric breach models based on Regression Analysis (RA) to estimate the peak outflow from a breached embankment dam since 1970s. RA is a widely-used approach that could provide acceptable results. Since, this approach bears restrictive assumptions, direct application of RA ignoring these assumptions might cause pitfalls and biased calculations. In this study, it is shown that previous works generated by RA gives biased calculations and a new alternative approach, based on Artificial Neural Networks (ANN), is suggested in replacement of classical RA, which gives more accurate results according to both numerical error criteria and scientific background. © 2014 Korean Society of Civil Engineers and Springer-Verlag Berlin Heidelberg. © 2014 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T16:36:55Z</dc:date>
   <dc:date>2014</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>19763808</dc:identifier>
   <dc:identifier>12267988</dc:identifier>
   <dc:identifier>https://doi.org/10.1007/s12205-014-0047-8</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/13027</dc:identifier>
   <dc:identifier>10.1007/s12205-014-0047-8</dc:identifier>
   <dc:identifier>2-s2.0-84906946779</dc:identifier>
   <dc:identifier>1868</dc:identifier>
   <dc:identifier>1876</dc:identifier>
   <dc:identifier>18</dc:identifier>
   <dc:identifier>6</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>KSCE Journal of Civil Engineering</dc:relation>
   <dc:publisher>Springer Verlag service@springer.de</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/7609</identifier><datestamp>2025-10-05T14:55:22Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Is bronchial provocation test positivity associated with blood eosinophil count and cut-off value?</dc:title>
   <dc:creator>Keren, Metin</dc:creator>
   <dc:creator>Selcuk, Ali</dc:creator>
   <dc:creator>Torun, Sebahat Dilek</dc:creator>
   <dc:creator>Bulut, Ismet</dc:creator>
   <dc:creator>Terzioglu, Kadriye</dc:creator>
   <dc:contributor>Keren, Metin, Immunology and Allergy Clinic, Sureyyapasa Chest Diseases and Thoracic Surgery Training and Research Hospital, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Selcuk, Ali, Division of Allergy and Immunology, Gülhane Eğitim ve Araştırma Hastanesi, Ankara, Turkey</dc:contributor>
   <dc:contributor>Torun, Sebahat Dilek, Department of Public Health, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Bulut, Ismet, Immunology and Allergy Clinic, Sureyyapasa Chest Diseases and Thoracic Surgery Training and Research Hospital, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Terzioglu, Kadriye, Department of Allergy &amp; Immunology, Kartal Dr. Lütfi Kırdar City Hospital, Istanbul, Turkey</dc:contributor>
   <dc:subject>Asthma Diagnosis</dc:subject>
   <dc:subject>Bronchial Provocation Test</dc:subject>
   <dc:subject>Eosinophil</dc:subject>
   <dc:subject>Inflammation</dc:subject>
   <dc:subject>Methacholine</dc:subject>
   <dc:subject>Methacholine</dc:subject>
   <dc:subject>Adult</dc:subject>
   <dc:subject>Age Distribution</dc:subject>
   <dc:subject>Apache</dc:subject>
   <dc:subject>Article</dc:subject>
   <dc:subject>Asthma</dc:subject>
   <dc:subject>Atopy</dc:subject>
   <dc:subject>Concentration (parameter)</dc:subject>
   <dc:subject>Controlled Study</dc:subject>
   <dc:subject>Diagnostic Accuracy</dc:subject>
   <dc:subject>Diagnostic Test Accuracy Study</dc:subject>
   <dc:subject>Disease Association</dc:subject>
   <dc:subject>Eosinophil Count</dc:subject>
   <dc:subject>Female</dc:subject>
   <dc:subject>Forced Expiratory Volume</dc:subject>
   <dc:subject>Gender</dc:subject>
   <dc:subject>Hematology</dc:subject>
   <dc:subject>Human</dc:subject>
   <dc:subject>Human Cell</dc:subject>
   <dc:subject>Inhalation Test</dc:subject>
   <dc:subject>Major Clinical Study</dc:subject>
   <dc:subject>Male</dc:subject>
   <dc:subject>Predictive Value</dc:subject>
   <dc:subject>Provocation Test</dc:subject>
   <dc:subject>Receiver Operating Characteristic</dc:subject>
   <dc:subject>Respiratory Tract Allergy</dc:subject>
   <dc:subject>Retrospective Study</dc:subject>
   <dc:subject>Sensitivity And Specificity</dc:subject>
   <dc:subject>Eosinophil</dc:subject>
   <dc:subject>Inflammation</dc:subject>
   <dc:subject>Leukocyte Count</dc:subject>
   <dc:subject>Asthma</dc:subject>
   <dc:subject>Bronchial Provocation Tests</dc:subject>
   <dc:subject>Eosinophils</dc:subject>
   <dc:subject>Humans</dc:subject>
   <dc:subject>Inflammation</dc:subject>
   <dc:subject>Leukocyte Count</dc:subject>
   <dc:subject>Respiratory Hypersensitivity</dc:subject>
   <dc:subject>Retrospective Studies</dc:subject>
   <dc:subject>methacholine</dc:subject>
   <dc:subject>adult</dc:subject>
   <dc:subject>age distribution</dc:subject>
   <dc:subject>APACHE</dc:subject>
   <dc:subject>Article</dc:subject>
   <dc:subject>asthma</dc:subject>
   <dc:subject>atopy</dc:subject>
   <dc:subject>concentration (parameter)</dc:subject>
   <dc:subject>controlled study</dc:subject>
   <dc:subject>diagnostic accuracy</dc:subject>
   <dc:subject>diagnostic test accuracy study</dc:subject>
   <dc:subject>disease association</dc:subject>
   <dc:subject>eosinophil count</dc:subject>
   <dc:subject>female</dc:subject>
   <dc:subject>forced expiratory volume</dc:subject>
   <dc:subject>gender</dc:subject>
   <dc:subject>hematology</dc:subject>
   <dc:subject>human</dc:subject>
   <dc:subject>human cell</dc:subject>
   <dc:subject>inhalation test</dc:subject>
   <dc:subject>major clinical study</dc:subject>
   <dc:subject>male</dc:subject>
   <dc:subject>predictive value</dc:subject>
   <dc:subject>provocation test</dc:subject>
   <dc:subject>receiver operating characteristic</dc:subject>
   <dc:subject>respiratory tract allergy</dc:subject>
   <dc:subject>retrospective study</dc:subject>
   <dc:subject>sensitivity and specificity</dc:subject>
   <dc:subject>eosinophil</dc:subject>
   <dc:subject>inflammation</dc:subject>
   <dc:subject>leukocyte count</dc:subject>
   <dc:subject>Asthma</dc:subject>
   <dc:subject>Bronchial Provocation Tests</dc:subject>
   <dc:subject>Eosinophils</dc:subject>
   <dc:subject>Humans</dc:subject>
   <dc:subject>Inflammation</dc:subject>
   <dc:subject>Leukocyte Count</dc:subject>
   <dc:subject>Respiratory Hypersensitivity</dc:subject>
   <dc:subject>Retrospective Studies</dc:subject>
   <dc:description>OBJECTIVE: Asthma is characterized by airway hyperresponsiveness due to chronic inflammation in the airways. One of the main cells involved in airway inflammation is eosinophils. In the current study, a bronchial provocation test (BPT) was performed to demonstrate airway hyperresponsiveness. We investigated the relationship between BPT and blood eosinophil count and the cut-off value of blood eosinophil count. PATIENTS AND METHODS: In this study, we retrospectively evaluated the data of 246 patients who visited our immunology and allergy clinic, a tertiary reference center, with asthma symptoms between May 2017 and March 2020 and underwent BPT with methacholine for the diagnosis of asthma. The cases were grouped according to the level of BPT positivity and negativity. RESULTS: Of 246 patients, BPT was positive in 90 (36.6%) and negative in 156 (63.4%). The blood eosinophil measurement of the BPT-positive cases was found to be statistically significantly higher than that of the BPT-negative cases (135 vs. 119 cells/µl, respectively, p=0.029). When BPT is grouped according to positivity levels, there was no statistically significant difference in blood eosinophil measurements between subgroups (p=0.174). As a result of the evaluations, the cut-off point obtained for the blood eosinophil count was determined as ≥226 cells/µl. For the blood eosinophil count, for the cut-off value of ≥226 cells/µl, sensitivity was 30.0%, specificity 87.7%, positive predictive value 58.7%, and negative predictive value 68.3%. CONCLUSIONS: This study shows that BPT positivity is associated with blood eosinophil count. The cut-off value (≥226 cells/µl) determined for blood eosinophil count may be helpful when planning BPT and evaluating the diagnosis of asthma. © 2024 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T14:55:21Z</dc:date>
   <dc:date>2024</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>22840729</dc:identifier>
   <dc:identifier>11283602</dc:identifier>
   <dc:identifier>https://doi.org/10.26355/eurrev_202402_35342</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/7609</dc:identifier>
   <dc:identifier>10.26355/eurrev_202402_35342</dc:identifier>
   <dc:identifier>2-s2.0-85185584814</dc:identifier>
   <dc:identifier>1060</dc:identifier>
   <dc:identifier>1065</dc:identifier>
   <dc:identifier>28</dc:identifier>
   <dc:identifier>3</dc:identifier>
   <dc:identifier>38375711</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>European Review for Medical and Pharmacological Sciences</dc:relation>
   <dc:publisher>Verduci Editore s.r.l</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/20781</identifier><datestamp>2025-10-09T17:53:44Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>The Determination of the Factors Affecting Air Transportation Passenger Numbers</dc:title>
   <dc:creator>Inan, Tuzun Tolga</dc:creator>
   <dc:creator>Gokmen, Neslihan</dc:creator>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:contributor>Istanbul Technical University</dc:contributor>
   <dc:subject>Engineering, Aerospace</dc:subject>
   <dc:subject>DEREGULATION</dc:subject>
   <dc:subject>CHINA</dc:subject>
   <dc:subject>AVIATION</dc:subject>
   <dc:subject>FLOWS</dc:subject>
   <dc:date>2025-10-09T17:53:43Z</dc:date>
   <dc:date>2021</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>2374-6793</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/20781</dc:identifier>
   <dc:identifier>8</dc:identifier>
   <dc:identifier>1</dc:identifier>
   <dc:identifier>Emerging Sources Citation Index (ESCI)</dc:identifier>
   <dc:identifier>WOS:000610104900004</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>INTERNATIONAL JOURNAL OF AVIATION AERONAUTICS AND AEROSPACE</dc:relation>
   <dc:relation>gold</dc:relation>
   <dc:relation>Green Submitted</dc:relation>
   <dc:publisher>EMBRY-RIDDLE AERONAUTICAL UNIV</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/71</identifier><datestamp>2025-06-02T08:38:46Z</datestamp><setSpec>com_20.500.14719_11</setSpec><setSpec>col_20.500.14719_1761</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>A comparative analysis of the concepts of holy war and the idealized topos of holy warrior in medieval Anatolian and European sources</dc:title>
   <dc:creator>Çıkın Sungur, Ceren</dc:creator>
   <dc:contributor>Koçkar, Aylin İlden</dc:contributor>
   <dc:subject>Just war doctrine</dc:subject>
   <dc:date>2015-04-20T07:08:01Z</dc:date>
   <dc:date>2015-04-20T07:08:01Z</dc:date>
   <dc:date>2014</dc:date>
   <dc:type>Thesis</dc:type>
   <dc:identifier>https://hdl.handle.net/20.500.14719/71</dc:identifier>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Bahçeşehir Üniversitesi</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/9626</identifier><datestamp>2025-10-05T15:33:27Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Reiterative presentation of the east in western-produced video games: A foucauldian discourse analysis</dc:title>
   <dc:creator>Halabi, Gina Al</dc:creator>
   <dc:creator>Süngü, Ertuğrul</dc:creator>
   <dc:contributor>Halabi, Gina Al, Istanbul Bilgi Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Süngü, Ertuğrul, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:description>Today's video game industry is full of examples of games that showcase Oriental stereotypes repetitively and portray them with the typical passive, barbaric, and violent perception. The methodology of this study builds its structure on that problem by gathering data from a conducted survey that focuses on video gamers based in the Middle East, with the aim of exploring how the reiteration of the stereotypical portrayal of the Orient in video games produced by the West affect people's perception of the Orient. The data then gathered will be analyzed according to Carla Willig's approach of the Foucauldian discourse analysis using six stages: (1) discursive constructions, (2) discourses, (3) action orientation, (4) positionings, (5) practice, and (6) subjectivity. The analysis's main limits and strengths will then be taken into consideration, and recommendations will be suggested based on the results of the analysis. © 2022 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T15:33:27Z</dc:date>
   <dc:date>2021</dc:date>
   <dc:type>Book Chapter</dc:type>
   <dc:identifier>9781799871804</dc:identifier>
   <dc:identifier>9781799871828</dc:identifier>
   <dc:identifier>https://doi.org/10.4018/978-1-7998-7180-4.ch032</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/9626</dc:identifier>
   <dc:identifier>10.4018/978-1-7998-7180-4.ch032</dc:identifier>
   <dc:identifier>2-s2.0-85127950324</dc:identifier>
   <dc:identifier>557</dc:identifier>
   <dc:identifier>573</dc:identifier>
   <dc:language>en</dc:language>
   <dc:publisher>IGI Global</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/19616</identifier><datestamp>2025-10-09T12:18:38Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Magnetic properties of Co-implanted BaTiO3 perovskite crystal</dc:title>
   <dc:creator>Kazan, S.</dc:creator>
   <dc:creator>Mikailzade, F. A.</dc:creator>
   <dc:creator>Sale, A. G.</dc:creator>
   <dc:creator>Maksutoglu, M.</dc:creator>
   <dc:creator>Acikgoz, M.</dc:creator>
   <dc:creator>Khaibullin, R. I.</dc:creator>
   <dc:creator>Khalitov, N. I.</dc:creator>
   <dc:creator>Gatiiatova, Ju. I.</dc:creator>
   <dc:creator>Valeev, V. F.</dc:creator>
   <dc:contributor>Gebze Technical University</dc:contributor>
   <dc:contributor>Ruhr University Bochum</dc:contributor>
   <dc:contributor>Azerbaijan National Academy of Sciences (ANAS)</dc:contributor>
   <dc:contributor>Institute of Physics of the Azerbaijan National Academy of Sciences</dc:contributor>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:contributor>Russian Academy of Sciences</dc:contributor>
   <dc:contributor>Kazan Scientific Centre of the Russian Academy of Sciences</dc:contributor>
   <dc:contributor>Zavoisky Physical-Technical Institute</dc:contributor>
   <dc:subject>Materials Science, Multidisciplinary</dc:subject>
   <dc:subject>Physics, Applied</dc:subject>
   <dc:subject>Physics, Condensed Matter</dc:subject>
   <dc:subject>ELECTRON-PARAMAGNETIC-RESONANCE</dc:subject>
   <dc:subject>FERROMAGNETIC-RESONANCE</dc:subject>
   <dc:subject>SUPERPOSITION-MODEL</dc:subject>
   <dc:subject>TRANSFORMATION RELATIONS</dc:subject>
   <dc:subject>PHASE-TRANSITIONS</dc:subject>
   <dc:subject>SPIN-RESONANCE</dc:subject>
   <dc:subject>DOPED BATIO3</dc:subject>
   <dc:subject>FE3+</dc:subject>
   <dc:subject>DEFECTS</dc:subject>
   <dc:subject>FERRITE</dc:subject>
   <dc:description>The results of electron magnetic resonance (EMR) and magnetization measurements of Co-implanted barium titanate (BaTiO3) perovskite crystal are presented. It has been revealed that the implantation with Co on different fluencies of metal concentrations produces a granular composite film in the surface layer of BaTiO3 substrate, which exhibits remarkable ferromagnetic behavior. EMR measurements revealed spectra originated from iron impurities of BaTiO3 substrate. Ferromagnetic resonance spectra from Co-implanted surface layer, exhibiting an out-of-plane uniaxial magnetic anisotropy, were also observed. The magnetization measurements performed in various geometries show that the ferromagnetic Co:BaTiO3 system displays easy-plane magnetic anisotropy. It has been shown that the magnetization and coercivity of ferromagnetic state depends on the fluence of implantation. The observed phenomena are discussed on the basis of strong magnetic dipolar interaction between Co nanoparticles inside the granular composite film formed as a result of implantation.</dc:description>
   <dc:date>2025-10-09T12:18:38Z</dc:date>
   <dc:date>2010</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>2469-9950</dc:identifier>
   <dc:identifier>2469-9969</dc:identifier>
   <dc:identifier>http://dx.doi.org/10.1103/PhysRevB.82.054402</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/19616</dc:identifier>
   <dc:identifier>10.1103/PhysRevB.82.054402</dc:identifier>
   <dc:identifier>82</dc:identifier>
   <dc:identifier>5</dc:identifier>
   <dc:identifier>Science Citation Index Expanded (SCI-EXPANDED)</dc:identifier>
   <dc:identifier>WOS:000280485500002</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>PHYSICAL REVIEW B</dc:relation>
   <dc:relation>Scientific &amp; Technological Research Council of Turkey (TUBITAK) [2009T061]</dc:relation>
   <dc:relation>Research Projects Commission of Gebze Institute of Technology [2009-A11]</dc:relation>
   <dc:relation>DPT [2009K120730]</dc:relation>
   <dc:relation>Kazan Physical-Technical Institute (Russia)</dc:relation>
   <dc:relation>Russian Foundation for Basic Research (RFBR) [07-02-00559, 10-02-91225_CT_a,]</dc:relation>
   <dc:relation>Russian Federal Agency on Education [P902]</dc:relation>
   <dc:relation>Scientific &amp; Technological Research Council of Turkey (TUBITAK)(Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK))</dc:relation>
   <dc:relation>Research Projects Commission of Gebze Institute of Technology</dc:relation>
   <dc:relation>DPT(Turkiye Cumhuriyeti Kalkinma Bakanligi)</dc:relation>
   <dc:relation>Kazan Physical-Technical Institute (Russia)</dc:relation>
   <dc:relation>Russian Foundation for Basic Research (RFBR)(Russian Foundation for Basic Research (RFBR))</dc:relation>
   <dc:relation>Russian Federal Agency on Education(Federal Agency for Science &amp; Innovations (FASI))</dc:relation>
   <dc:relation>The authors from Gebze Institute of Technology are indebted to The Scientific &amp; Technological Research Council of Turkey (TUBITAK) for supporting this work by Project No. 2009T061 and Research Projects Commission of Gebze Institute of Technology for supporting this work by Grant No. 2009-A11. Additionally, S. K. acknowledges TUBITAK for financial support. This work was partially supported by DPT (State Planning Organization of Turkey) through Project No. 2009K120730. The authors from Kazan Physical-Technical Institute (Russia) acknowledge support of Russian Foundation for Basic Research (RFBR) by Projects No. 07-02-00559 and No. 10-02-91225_CT_a, OFN RAN Programme New materials and structures, and Russian Federal Agency on Education, Contract No. P902.</dc:relation>
   <dc:publisher>AMER PHYSICAL SOC</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/18190</identifier><datestamp>2025-10-09T11:41:59Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Mirabegron: A Novel and Promising Medical Expulsive Treatment for Ureteral Stones?</dc:title>
   <dc:creator>Urkmez, Ahmet</dc:creator>
   <dc:creator>Tokuc, Emre</dc:creator>
   <dc:creator>Topaktas, Ramazan</dc:creator>
   <dc:creator>Sahin, Aytac</dc:creator>
   <dc:creator>Yuksel, Ozgur H.</dc:creator>
   <dc:contributor>Istanbul Haydarpasa Numune Training &amp; Research Hospital</dc:contributor>
   <dc:contributor>Fatih Sultan Mehmet Training &amp; Research Hospital</dc:contributor>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:subject>Medicine, General &amp; Internal</dc:subject>
   <dc:subject>Medical expulsive treatment</dc:subject>
   <dc:subject>Mirabegron</dc:subject>
   <dc:subject>Ureteral stone</dc:subject>
   <dc:subject>Beta-3 adrenoreceptor</dc:subject>
   <dc:description>Medical expulsive therapy (MET) is used especially in distal ureteral stones to reduce colics and decrease the number of endourological surgical interventions. A broad spectrum of agents can be used for the relaxation and the dilatation of the ureter, reducing the intraureteric pressure. Alfa-blockers, calcium channel blockers, phosphodiesterase (PDE) inhibitors, and spasmolytics have been shown as effective in clinical trials on urolithiasis. It is a fact that the urothelium itself, the interstitial cells and the ureteric smooth muscle, have B-beta-2 and beta-3 adrenoreceptors. Stimulation of these receptors results in relaxation of the ureter. A recent beta-3 agonist, mirabegron, is commonly used for overactive bladder nowadays. The mechanism of action is adrenergic agonism that affects with the storage phase of the bladder, without interfering the voiding phase, which is regulated by parasympathetic pathways, commonly muscarinic. Agonism of the beta-3 receptors in the ureter has been shown to decrease the intraluminal pressure. By this mechanism, mirabegron can be thought as an alternative MET agent. Acting through different pathways, and having low adverse effect profile, can be thought as the most striking advantages of mirabegron as a MET. In vitro and in vivo trials should be conducted to support this hypothesis.</dc:description>
   <dc:date>2025-10-09T11:41:59Z</dc:date>
   <dc:date>2019</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>1022-386X</dc:identifier>
   <dc:identifier>1681-7168</dc:identifier>
   <dc:identifier>http://dx.doi.org/10.29271/jcpsp.2019.01.73</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/18190</dc:identifier>
   <dc:identifier>10.29271/jcpsp.2019.01.73</dc:identifier>
   <dc:identifier>73</dc:identifier>
   <dc:identifier>74</dc:identifier>
   <dc:identifier>29</dc:identifier>
   <dc:identifier>1</dc:identifier>
   <dc:identifier>30630575</dc:identifier>
   <dc:identifier>Science Citation Index Expanded (SCI-EXPANDED)</dc:identifier>
   <dc:identifier>WOS:000455434800019</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>JCPSP-JOURNAL OF THE COLLEGE OF PHYSICIANS AND SURGEONS PAKISTAN</dc:relation>
   <dc:relation>gold</dc:relation>
   <dc:publisher>COLL PHYSICIANS &amp; SURGEONS PAKISTAN</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/19774</identifier><datestamp>2025-10-09T12:26:22Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Social distance and stigma towards persons with serious mental illness among medical students in five European Central Asia countries</dc:title>
   <dc:creator>Munir, Kerim</dc:creator>
   <dc:creator>Oner, Ozgur</dc:creator>
   <dc:creator>Kerala, Coskun</dc:creator>
   <dc:creator>Rustamov, Ikram</dc:creator>
   <dc:creator>Boztas, Hamit</dc:creator>
   <dc:creator>Juszkiewicz, Konrad</dc:creator>
   <dc:creator>Wloszczak-Szubzda, Anna</dc:creator>
   <dc:creator>Kalmatayeva, Zhanna</dc:creator>
   <dc:creator>Iskandarova, Aygun</dc:creator>
   <dc:creator>Zeynalli, Sevda</dc:creator>
   <dc:creator>Cibrev, Dragan</dc:creator>
   <dc:creator>Kosherbayeva, Lyazzat</dc:creator>
   <dc:creator>Miriyeva, Nermin</dc:creator>
   <dc:creator>Jarosz, Miroslaw Jerzy</dc:creator>
   <dc:creator>Kurakbayev, Kural</dc:creator>
   <dc:creator>Soroka, Ewelina</dc:creator>
   <dc:creator>Mancevska, Sanja</dc:creator>
   <dc:creator>Novruzova, Nermin</dc:creator>
   <dc:creator>Emin, Melda</dc:creator>
   <dc:creator>Olajossy, Marcin</dc:creator>
   <dc:creator>Bajraktarov, Stojan</dc:creator>
   <dc:creator>Raleva, Marija</dc:creator>
   <dc:creator>Roy, Ashok</dc:creator>
   <dc:creator>Azeem, Muhammad Waqar</dc:creator>
   <dc:creator>Bertelli, Marco</dc:creator>
   <dc:creator>Salvador-Carulla, Luis</dc:creator>
   <dc:creator>Javed, Afzal</dc:creator>
   <dc:contributor>Harvard University</dc:contributor>
   <dc:contributor>Harvard Medical School</dc:contributor>
   <dc:contributor>Harvard University Medical Affiliates</dc:contributor>
   <dc:contributor>Boston Children's Hospital</dc:contributor>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:contributor>Saints Cyril &amp; Methodius University of Skopje</dc:contributor>
   <dc:contributor>Ministry of Education of Azerbaijan Republic</dc:contributor>
   <dc:contributor>Azerbaijan Medical University</dc:contributor>
   <dc:contributor>Abant Izzet Baysal University</dc:contributor>
   <dc:contributor>Asfendiyarov Kazakh National Medical University</dc:contributor>
   <dc:contributor>Asfendiyarov Kazakh National Medical University</dc:contributor>
   <dc:contributor>Medical University of Lublin</dc:contributor>
   <dc:contributor>Qatar Foundation (QF)</dc:contributor>
   <dc:contributor>Weill Cornell Medical College Qatar</dc:contributor>
   <dc:contributor>Sidra Medical &amp; Research Center</dc:contributor>
   <dc:contributor>University of Canberra</dc:contributor>
   <dc:contributor>University of Warwick</dc:contributor>
   <dc:subject>Psychiatry</dc:subject>
   <dc:subject>Serious mental illness</dc:subject>
   <dc:subject>Stigma</dc:subject>
   <dc:subject>Desired social distance</dc:subject>
   <dc:subject>Medical students</dc:subject>
   <dc:subject>Psychiatry</dc:subject>
   <dc:subject>Europe and Central Asia</dc:subject>
   <dc:subject>North Macedonia</dc:subject>
   <dc:subject>Poland</dc:subject>
   <dc:subject>Turkey</dc:subject>
   <dc:subject>Azerbaijan</dc:subject>
   <dc:subject>Kazakhstan</dc:subject>
   <dc:subject>HEALTH-RELATED STIGMA</dc:subject>
   <dc:subject>NATIONAL-SURVEY</dc:subject>
   <dc:subject>ATTITUDES</dc:subject>
   <dc:subject>PSYCHIATRY</dc:subject>
   <dc:subject>DISORDERS</dc:subject>
   <dc:subject>STIGMATIZATION</dc:subject>
   <dc:subject>INTERVENTIONS</dc:subject>
   <dc:subject>CLERKSHIP</dc:subject>
   <dc:subject>PEOPLE</dc:subject>
   <dc:subject>CARE</dc:subject>
   <dc:description>The study investigated behavioral measures of social distance (i.e., desired proximity between self and others in social contexts) as an index of stigma against those with mental illness among medical students in the Republic of North Macedonia, Turkey, Azerbaijan, Kazakhstan, and Poland, using the Reported and Intended Behavior Scale (RIBS), a standardized, self-administered behavioral measure based on the Star Social Distance Scale. The students' responses to standardized clinical vignettes on schizophrenia, and depression with suicidal ideation, were also assessed. A total of 257 North Macedonian (females, 31.5%, 1-4 grades, 189, 5-6 grades, 68), 268 Turkish (females, 43.3%, 1-4 grades, 90, 5-6 grades, 178), 450 Kazakh (females, 28.4%, 71.6%, 1-4 grades, 312, 5-6 grades, 138), 512 Azerbaijani (females, 24%, 1-4 grades, 468, 5-6 grades, 44, females, 24%), and 317 Polish (females, 59.0%, 1-4 grades, 208, 5-6 grades, 109) students were surveyed. The responses on the RIBS social distance behavior measures did not improve with advancing medical school grade, but students across all sites viewed schizophrenia and depression as real medical illnesses. The results support the development of enhanced range of integrated training opportunities for medical student to socially interact with persons with mental illness sharing their experiences with them.</dc:description>
   <dc:date>2025-10-09T12:26:21Z</dc:date>
   <dc:date>2022</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>0165-1781</dc:identifier>
   <dc:identifier>1872-7123</dc:identifier>
   <dc:identifier>http://dx.doi.org/10.1016/j.psychres.2022.114409</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/19774</dc:identifier>
   <dc:identifier>10.1016/j.psychres.2022.114409</dc:identifier>
   <dc:identifier>309</dc:identifier>
   <dc:identifier>35121341</dc:identifier>
   <dc:identifier>Science Citation Index Expanded (SCI-EXPANDED)</dc:identifier>
   <dc:identifier>Social Science Citation Index (SSCI)</dc:identifier>
   <dc:identifier>WOS:000860501100029</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>PSYCHIATRY RESEARCH</dc:relation>
   <dc:relation>Fogarty International Center/NIH [D43TW009680]</dc:relation>
   <dc:relation>Fogarty International Center/NIH(United States Department of Health &amp; Human ServicesNational Institutes of Health (NIH) - USANIH Fogarty International Center (FIC))</dc:relation>
   <dc:relation>The authors report no conflicts of financial and personal competing interests noted. The study was supported, in part, by the D43TW009680 grant from the Fogarty International Center/NIH.</dc:relation>
   <dc:publisher>ELSEVIER IRELAND LTD</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/17090</identifier><datestamp>2025-10-09T11:22:31Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>MINERAL ELEMENT UPTAKE STATUS OF ENDEMIC ISOETES ANATOLICA PRADA &amp; ROLLERI POPULATIONS FROM BOLU-TURKEY</dc:title>
   <dc:creator>Ozyigit, Ibrahim Ilker</dc:creator>
   <dc:creator>Dogan, Ilhan</dc:creator>
   <dc:creator>Eskin, Bulent</dc:creator>
   <dc:creator>Keskin, Mustafa</dc:creator>
   <dc:creator>Demir, Goksel</dc:creator>
   <dc:creator>Yalcin, Ibrahim Ertugrul</dc:creator>
   <dc:contributor>Marmara University</dc:contributor>
   <dc:contributor>Izmir Institute of Technology</dc:contributor>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:subject>Plant Sciences</dc:subject>
   <dc:subject>ISOETACEAE</dc:subject>
   <dc:subject>L.</dc:subject>
   <dc:description>Isoetes genus is commonly known as the quillworts and considered to be fern allies. There are about 200-250 species, with a cosmopolitan distribution but often scarce to rare. Isoetes genus members often grow in extremely sensitive aquatic environments such as temporary ponds, streams and lakes. They are therefore good indicators of environmental quality. Isoetes anatolica Prada &amp; Rolleri is an endemic plant grows on calcareous sediment/soil on the edges of seasonal ponds located in a mountainous area near the southern coast of the Black Sea at 1400 m above sea level at Bolu, Turkey. In this study, mineral element uptake statuses of I. anatolica populations were studied on the background of plant-sediment/soil-water interactions. The study materials were collected from the place where this narrow endemic species only lives in the world (Abant Region, Bolu/Turkey) by using standard methods and plant and sediment/soil mineral element measurements (Al, B, Ca, Cu, Fe, K, Mg, Mn, Na, Ni and Zn) were done. ICP-OES was employed for the measurements during the study. Interrelations between mineral element contents in the sediment/soil, water and plant were discussed. The data revealed that I. anatolica is capable of accumulating considerable amounts of certain mineral elements (B, Ca, Mn and Na).</dc:description>
   <dc:date>2025-10-09T11:22:30Z</dc:date>
   <dc:date>2013</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>0556-3321</dc:identifier>
   <dc:identifier>2070-3368</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/17090</dc:identifier>
   <dc:identifier>515</dc:identifier>
   <dc:identifier>519</dc:identifier>
   <dc:identifier>45</dc:identifier>
   <dc:identifier>Science Citation Index Expanded (SCI-EXPANDED)</dc:identifier>
   <dc:identifier>WOS:000315358800069</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>PAKISTAN JOURNAL OF BOTANY</dc:relation>
   <dc:relation>Marmara University, Commission of Scientific Research Project [FEN-D-040712-0291]</dc:relation>
   <dc:relation>Marmara University, Commission of Scientific Research Project(Marmara University)</dc:relation>
   <dc:relation>This study was funded by Marmara University, Commission of Scientific Research Project under grant FEN-D-040712-0291.</dc:relation>
   <dc:publisher>PAKISTAN BOTANICAL SOC</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/324</identifier><datestamp>2025-06-02T11:22:22Z</datestamp><setSpec>com_20.500.14719_11</setSpec><setSpec>col_20.500.14719_1762</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Ekolojik kentleşme ve toplu konutlarda ekolojik planlama yaklaşımının Başakşehir 4. Etap örneğinde incelenmesi</dc:title>
   <dc:creator>Adil, Semih</dc:creator>
   <dc:contributor>Aksoy,Yıldız</dc:contributor>
   <dc:subject>City planning</dc:subject>
   <dc:subject>Turkey</dc:subject>
   <dc:subject>Istanbul</dc:subject>
   <dc:subject>Ecological landscape design</dc:subject>
   <dc:subject>Landscape assessment</dc:subject>
   <dc:subject>Landscape ecology</dc:subject>
   <dc:date>2015-06-26T09:45:53Z</dc:date>
   <dc:date>2015-06-26T09:45:53Z</dc:date>
   <dc:date>2010</dc:date>
   <dc:type>Thesis</dc:type>
   <dc:identifier>https://hdl.handle.net/20.500.14719/324</dc:identifier>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Bahçeşehir Üniversitesi Fen Bilimleri Enstitüsü</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/20034</identifier><datestamp>2025-10-09T17:07:12Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Search for top-quark decays t → Hq with 36 fb-1 of pp collision data at √s=13 TeV with the ATLAS detector</dc:title>
   <dc:subject>Physics, Particles &amp; Fields</dc:subject>
   <dc:subject>Hadron-Hadron scattering (experiments)</dc:subject>
   <dc:subject>Rare decay</dc:subject>
   <dc:subject>Top physics</dc:subject>
   <dc:subject>PAIR-PRODUCTION</dc:subject>
   <dc:subject>CROSS-SECTION</dc:subject>
   <dc:subject>STANDARD</dc:subject>
   <dc:subject>HIGGS</dc:subject>
   <dc:subject>PROGRAM</dc:subject>
   <dc:description>A search for flavour-changing neutral current decays of a top quark into an up-type quark (q = u, c) and the Standard Model Higgs boson, t Hq, is presented. The search is based on a dataset of pp collisions at = 13 TeV recorded in 2015 and 2016 with the ATLAS detector at the CERN Large Hadron Collider and corresponding to an integrated luminosity of 36.1 fb(-1). Two complementary analyses are performed to search for top-quark pair events in which one top quark decays into Wb and the other top quark decays into Hq, and target the Hbb and H (+-) decay modes, respectively. The high multiplicity of b-quark jets, or the presence of hadronically decaying -leptons, is exploited in the two analyses respectively. Multivariate techniques are used to separate the signal from the background, which is dominated by top-quark pair production. No significant excess of events above the background expectation is found, and 95% CL upper limits on the t Hq branching ratios are derived. The combination of these searches with ATLAS searches in diphoton and multilepton final states yields observed (expected) 95% CL upper limits on the t Hc and t Hu branching ratios of 1.1 x 10(-3) (8.3 x 10(-4)) and 1.2 x 10(-3) (8.3 x 10(-4)), respectively. The corresponding combined observed (expected) upper limits on the |(tcH)| and |(tuH)| couplings are 0.064 (0.055) and 0.066 (0.055), respectively.</dc:description>
   <dc:date>2025-10-09T17:07:06Z</dc:date>
   <dc:date>2019</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>1029-8479</dc:identifier>
   <dc:identifier>http://dx.doi.org/10.1007/JHEP05(2019)123</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/20034</dc:identifier>
   <dc:identifier>10.1007/JHEP05(2019)123</dc:identifier>
   <dc:identifier>5</dc:identifier>
   <dc:identifier>Science Citation Index Expanded (SCI-EXPANDED)</dc:identifier>
   <dc:identifier>WOS:000468948900001</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>JOURNAL OF HIGH ENERGY PHYSICS</dc:relation>
   <dc:relation>Green Submitted</dc:relation>
   <dc:relation>Green Accepted</dc:relation>
   <dc:relation>gold</dc:relation>
   <dc:relation>ANPCyT, Argentina</dc:relation>
   <dc:relation>YerPhI, Armenia</dc:relation>
   <dc:relation>ARC, Australia</dc:relation>
   <dc:relation>BMWFW, Austria</dc:relation>
   <dc:relation>FWF, Austria</dc:relation>
   <dc:relation>ANAS, Azerbaijan</dc:relation>
   <dc:relation>SSTC, Belarus</dc:relation>
   <dc:relation>CNPq, Brazil</dc:relation>
   <dc:relation>FAPESP, Brazil</dc:relation>
   <dc:relation>NSERC, Canada</dc:relation>
   <dc:relation>NRC, Canada</dc:relation>
   <dc:relation>CFI, Canada</dc:relation>
   <dc:relation>CERN</dc:relation>
   <dc:relation>CONICYT, Chile</dc:relation>
   <dc:relation>CAS, China</dc:relation>
   <dc:relation>MOST, China</dc:relation>
   <dc:relation>NSFC, China</dc:relation>
   <dc:relation>COLCIENCIAS, Colombia</dc:relation>
   <dc:relation>MSMT CR, Czech Republic</dc:relation>
   <dc:relation>MPO CR, Czech Republic</dc:relation>
   <dc:relation>VSC CR, Czech Republic</dc:relation>
   <dc:relation>DNRF, Denmark</dc:relation>
   <dc:relation>DNSRC, Denmark</dc:relation>
   <dc:relation>IN2P3-CNRS, CEA-DRF/IRFU, France</dc:relation>
   <dc:relation>SRNSFG, Georgia</dc:relation>
   <dc:relation>BMBF, Germany</dc:relation>
   <dc:relation>HGF, Germany</dc:relation>
   <dc:relation>MPG, Germany</dc:relation>
   <dc:relation>GSRT, Greece</dc:relation>
   <dc:relation>RGC, Hong Kong SAR, China</dc:relation>
   <dc:relation>ISF, Israel</dc:relation>
   <dc:relation>Benoziyo Center, Israel</dc:relation>
   <dc:relation>INFN, Italy</dc:relation>
   <dc:relation>MEXT, Japan</dc:relation>
   <dc:relation>JSPS, Japan</dc:relation>
   <dc:relation>CNRST, Morocco</dc:relation>
   <dc:relation>NWO, Netherlands</dc:relation>
   <dc:relation>RCN, Norway</dc:relation>
   <dc:relation>MNiSW, Poland</dc:relation>
   <dc:relation>NCN, Poland</dc:relation>
   <dc:relation>FCT, Portugal</dc:relation>
   <dc:relation>MNE/IFA, Romania</dc:relation>
   <dc:relation>MES of Russia, Russian Federation</dc:relation>
   <dc:relation>NRC KI, Russian Federation</dc:relation>
   <dc:relation>JINR</dc:relation>
   <dc:relation>MESTD, Serbia</dc:relation>
   <dc:relation>MSSR, Slovakia</dc:relation>
   <dc:relation>ARRS, Slovenia</dc:relation>
   <dc:relation>MIZS, Slovenia</dc:relation>
   <dc:relation>DST/NRF, South Africa</dc:relation>
   <dc:relation>MINECO, Spain</dc:relation>
   <dc:relation>SRC, Sweden</dc:relation>
   <dc:relation>Wallenberg Foundation, Sweden</dc:relation>
   <dc:relation>SERI, Switzerland</dc:relation>
   <dc:relation>SNSF, Switzerland</dc:relation>
   <dc:relation>Canton of Bern, Switzerland</dc:relation>
   <dc:relation>MOST, Taiwan</dc:relation>
   <dc:relation>TAEK, Turkey</dc:relation>
   <dc:relation>STFC, United Kingdom</dc:relation>
   <dc:relation>DOE, United States of America</dc:relation>
   <dc:relation>NSF, United States of America</dc:relation>
   <dc:relation>BCKDF, Canada</dc:relation>
   <dc:relation>CANARIE, Canada</dc:relation>
   <dc:relation>CRC, Canada</dc:relation>
   <dc:relation>Compute Canada, Canada</dc:relation>
   <dc:relation>COST, European Union</dc:relation>
   <dc:relation>ERC, European Union</dc:relation>
   <dc:relation>ERDF, European Union</dc:relation>
   <dc:relation>Horizon 2020, European Union</dc:relation>
   <dc:relation>Marie Sklodowska-Curie Actions, European Union</dc:relation>
   <dc:relation>Investissements d' Avenir Labex, ANR, France</dc:relation>
   <dc:relation>Investissements d' Avenir Idex, ANR, France</dc:relation>
   <dc:relation>DFG, Germany</dc:relation>
   <dc:relation>AvH Foundation, Germany</dc:relation>
   <dc:relation>Herakleitos programme - EU-ESF, Greece</dc:relation>
   <dc:relation>Greek NSRF, Greece</dc:relation>
   <dc:relation>BSF-NSF, Israel</dc:relation>
   <dc:relation>GIF, Israel</dc:relation>
   <dc:relation>CERCA Programme Generalitat de Catalunya, Spain</dc:relation>
   <dc:relation>Royal Society, United Kingdom</dc:relation>
   <dc:relation>Leverhulme Trust, United Kingdom</dc:relation>
   <dc:relation>Thales programme - EU-ESF, Greece</dc:relation>
   <dc:relation>Aristeia programme - EU-ESF, Greece</dc:relation>
   <dc:relation>Canton of Geneva, Switzerland</dc:relation>
   <dc:relation>Science and Technology Facilities Council [ST/N000277/1, ATLAS, GRIDPP, ST/K001310/1, ST/N000420/1, ST/N000463/1, ST/N000234/1, ST/K001361/1, ST/S000747/1] Funding Source: researchfish</dc:relation>
   <dc:relation>STFC [ST/N000234/1, ST/S00095X/1, ST/N000463/1] Funding Source: UKRI</dc:relation>
   <dc:relation>ANPCyT, Argentina(ANPCyT)</dc:relation>
   <dc:relation>YerPhI, Armenia</dc:relation>
   <dc:relation>ARC, Australia(Australian Research Council)</dc:relation>
   <dc:relation>BMWFW, Austria</dc:relation>
   <dc:relation>FWF, Austria(Austrian Science Fund (FWF))</dc:relation>
   <dc:relation>ANAS, Azerbaijan(Azerbaijan National Academy of Sciences (ANAS))</dc:relation>
   <dc:relation>SSTC, Belarus</dc:relation>
   <dc:relation>CNPq, Brazil(Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ))</dc:relation>
   <dc:relation>FAPESP, Brazil(Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP))</dc:relation>
   <dc:relation>NSERC, Canada(Natural Sciences and Engineering Research Council of Canada (NSERC))</dc:relation>
   <dc:relation>NRC, Canada</dc:relation>
   <dc:relation>CFI, Canada(Canada Foundation for Innovation)</dc:relation>
   <dc:relation>CERN</dc:relation>
   <dc:relation>CONICYT, Chile(Comision Nacional de Investigacion Cientifica y Tecnologica (CONICYT))</dc:relation>
   <dc:relation>CAS, China(Chinese Academy of Sciences)</dc:relation>
   <dc:relation>MOST, China(Ministry of Science and Technology, China)</dc:relation>
   <dc:relation>NSFC, China(National Natural Science Foundation of China (NSFC))</dc:relation>
   <dc:relation>COLCIENCIAS, Colombia(Departamento Administrativo de Ciencia, Tecnologia e Innovacion Colciencias)</dc:relation>
   <dc:relation>MSMT CR, Czech Republic(Ministry of Education, Youth &amp; Sports - Czech RepublicCzech Republic Government)</dc:relation>
   <dc:relation>MPO CR, Czech Republic(Czech Republic Government)</dc:relation>
   <dc:relation>VSC CR, Czech Republic(Czech Republic Government)</dc:relation>
   <dc:relation>DNRF, Denmark(National Research Foundation of Korea)</dc:relation>
   <dc:relation>DNSRC, Denmark(Danish Natural Science Research Council)</dc:relation>
   <dc:relation>IN2P3-CNRS, CEA-DRF/IRFU, France</dc:relation>
   <dc:relation>SRNSFG, Georgia</dc:relation>
   <dc:relation>BMBF, Germany(Federal Ministry of Education &amp; Research (BMBF))</dc:relation>
   <dc:relation>HGF, Germany</dc:relation>
   <dc:relation>MPG, Germany(Max Planck Society)</dc:relation>
   <dc:relation>GSRT, Greece(Greek Ministry of Development-GSRT)</dc:relation>
   <dc:relation>RGC, Hong Kong SAR, China(Hong Kong Research Grants Council)</dc:relation>
   <dc:relation>ISF, Israel(Israel Science Foundation)</dc:relation>
   <dc:relation>Benoziyo Center, Israel</dc:relation>
   <dc:relation>INFN, Italy(Istituto Nazionale di Fisica Nucleare (INFN))</dc:relation>
   <dc:relation>MEXT, Japan(Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT))</dc:relation>
   <dc:relation>JSPS, Japan(Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT)Japan Society for the Promotion of Science)</dc:relation>
   <dc:relation>CNRST, Morocco(Centre National de la Recherche Scientifique &amp; Technologique (CNRST))</dc:relation>
   <dc:relation>NWO, Netherlands(Netherlands Organization for Scientific Research (NWO)Netherlands Government)</dc:relation>
   <dc:relation>RCN, Norway(Research Council of Norway)</dc:relation>
   <dc:relation>MNiSW, Poland(Ministry of Science and Higher Education, Poland)</dc:relation>
   <dc:relation>NCN, Poland</dc:relation>
   <dc:relation>FCT, Portugal(Fundacao para a Ciencia e a Tecnologia (FCT))</dc:relation>
   <dc:relation>MNE/IFA, Romania</dc:relation>
   <dc:relation>MES of Russia, Russian Federation(Russian Federation)</dc:relation>
   <dc:relation>NRC KI, Russian Federation</dc:relation>
   <dc:relation>JINR</dc:relation>
   <dc:relation>MESTD, Serbia(Ministry of Education, Science &amp; Technological Development, Serbia)</dc:relation>
   <dc:relation>MSSR, Slovakia</dc:relation>
   <dc:relation>ARRS, Slovenia(Slovenian Research Agency - Slovenia)</dc:relation>
   <dc:relation>MIZS, Slovenia</dc:relation>
   <dc:relation>DST/NRF, South Africa</dc:relation>
   <dc:relation>MINECO, Spain(Spanish Government)</dc:relation>
   <dc:relation>SRC, Sweden</dc:relation>
   <dc:relation>Wallenberg Foundation, Sweden</dc:relation>
   <dc:relation>SERI, Switzerland</dc:relation>
   <dc:relation>SNSF, Switzerland(Swiss National Science Foundation (SNSF))</dc:relation>
   <dc:relation>Canton of Bern, Switzerland</dc:relation>
   <dc:relation>MOST, Taiwan(Ministry of Science and Technology, Taiwan)</dc:relation>
   <dc:relation>TAEK, Turkey(Ministry of Energy &amp; Natural Resources - Turkey)</dc:relation>
   <dc:relation>STFC, United Kingdom(UK Research &amp; Innovation (UKRI)Science &amp; Technology Facilities Council (STFC))</dc:relation>
   <dc:relation>DOE, United States of America(United States Department of Energy (DOE))</dc:relation>
   <dc:relation>NSF, United States of America(National Science Foundation (NSF))</dc:relation>
   <dc:relation>BCKDF, Canada</dc:relation>
   <dc:relation>CANARIE, Canada</dc:relation>
   <dc:relation>CRC, Canada</dc:relation>
   <dc:relation>Compute Canada, Canada</dc:relation>
   <dc:relation>COST, European Union</dc:relation>
   <dc:relation>ERC, European Union(European Union (EU)European Research Council (ERC))</dc:relation>
   <dc:relation>ERDF, European Union(European Union (EU)Marie Curie Actions)</dc:relation>
   <dc:relation>Horizon 2020, European Union</dc:relation>
   <dc:relation>Marie Sklodowska-Curie Actions, European Union(European Union (EU)Marie Curie Actions)</dc:relation>
   <dc:relation>Investissements d' Avenir Labex, ANR, France(Agence Nationale de la Recherche (ANR))</dc:relation>
   <dc:relation>Investissements d' Avenir Idex, ANR, France(Agence Nationale de la Recherche (ANR))</dc:relation>
   <dc:relation>DFG, Germany(German Research Foundation (DFG))</dc:relation>
   <dc:relation>AvH Foundation, Germany(Alexander von Humboldt Foundation)</dc:relation>
   <dc:relation>Herakleitos programme - EU-ESF, Greece</dc:relation>
   <dc:relation>Greek NSRF, Greece</dc:relation>
   <dc:relation>BSF-NSF, Israel</dc:relation>
   <dc:relation>GIF, Israel(German-Israeli Foundation for Scientific Research and Development)</dc:relation>
   <dc:relation>CERCA Programme Generalitat de Catalunya, Spain</dc:relation>
   <dc:relation>Royal Society, United Kingdom(Royal Society UK)</dc:relation>
   <dc:relation>Leverhulme Trust, United Kingdom(Leverhulme Trust)</dc:relation>
   <dc:relation>Thales programme - EU-ESF, Greece(Thales Group)</dc:relation>
   <dc:relation>Aristeia programme - EU-ESF, Greece</dc:relation>
   <dc:relation>Canton of Geneva, Switzerland</dc:relation>
   <dc:relation>Science and Technology Facilities Council(UK Research &amp; Innovation (UKRI)Science &amp; Technology Facilities Council (STFC))</dc:relation>
   <dc:relation>STFC(UK Research &amp; Innovation (UKRI)Science &amp; Technology Facilities Council (STFC))</dc:relation>
   <dc:relation>We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently.r We acknowledge the support of ANPCyT, Argentina, YerPhI, Armenia, ARC, Australia, BMWFW and FWF, Austria, ANAS, Azerbaijan, SSTC, Belarus, CHerakleitosNPq and FAPESP, Brazil, NSERC, NRC and CFI, Canada, CERN, CONICYT, Chile, CAS, MOST and NSFC, China, COLCIENCIAS, Colombia, MSMT CR, MPO CR and VSC CR, Czech Republic, DNRF and DNSRC, Denmark, IN2P3-CNRS, CEA-DRF/IRFU, France, SRNSFG, Georgia, BMBF, HGF, and MPG, Germany, GSRT, Greece, RGC, Hong Kong SAR, China, ISF and Benoziyo Center, Israel, INFN, Italy, MEXT and JSPS, Japan, CNRST, Morocco, NWO, Netherlands, RCN, Norway, MNiSW and NCN, Poland, FCT, Portugal, MNE/IFA, Romania, MES of Russia and NRC KI, Russian Federation, JINR, MESTD, Serbia, MSSR, Slovakia, ARRS and MIZS, Slovenia, DST/NRF, South Africa, MINECO, Spain, SRC and Wallenberg Foundation, Sweden, SERI, SNSF and Cantons of Bern and Geneva, Switzerland, MOST, Taiwan, TAEK, Turkey, STFC, United Kingdom, DOE and NSF, United States of America. In addition, individual groups and members have received support from BCKDF, CANARIE, CRC and Compute Canada, Canada, COST, ERC, ERDF, Horizon 2020, and Marie Sklodowska-Curie Actions, European Union, Investissements d Avenir Labex and Idex, ANR, France, DFG and AvH Foundation, Germany, Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece, BSF-NSF and GIF, Israel, CERCA Programme Generalitat de Catalunya, Spain, The Royal Society and Leverhulme Trust, United Kingdom.r The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF (Canada), NDGF (Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), PIC (Spain), ASGC (Taiwan), RAL (U.K.) and BNL (U.S.A.), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of computing resources are listed in ref. [131].</dc:relation>
   <dc:publisher>SPRINGER</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/20112</identifier><datestamp>2025-10-09T17:12:21Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Search for light resonances decaying to boosted quark pairs and produced in association with a photon or a jet in proton-proton collisions at √s=13 TeV with the ATLAS detector</dc:title>
   <dc:subject>Astronomy &amp; Astrophysics</dc:subject>
   <dc:subject>Physics, Nuclear</dc:subject>
   <dc:subject>Physics, Particles &amp; Fields</dc:subject>
   <dc:subject>PARTON DISTRIBUTIONS</dc:subject>
   <dc:subject>DARK-MATTER</dc:subject>
   <dc:subject>CONSTRAINTS</dc:subject>
   <dc:description>This Letter presents a search for new light resonances decaying to pairs of quarks and produced in association with a high-p(T) photon or jet. The dataset consists of proton-proton collisions with an integrated luminosity of 36.1 fb(-1) at a centre-of-mass energy of root s = 13 TeV recorded by the ATLAS detector at the Large Hadron Collider. Resonance candidates are identified as massive large-radius jets with substructure consistent with a particle decaying into a quark pair. The mass spectrum of the candidates is examined for local excesses above background. No evidence of a new resonance is observed in the data, which are used to exclude the production of a lepto-phobic axial-vector Z' boson. (C) 2018 The Author(s). Published by Elsevier B.V.</dc:description>
   <dc:date>2025-10-09T17:12:19Z</dc:date>
   <dc:date>2019</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>0370-2693</dc:identifier>
   <dc:identifier>1873-2445</dc:identifier>
   <dc:identifier>http://dx.doi.org/10.1016/j.physletb.2018.09.062</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/20112</dc:identifier>
   <dc:identifier>10.1016/j.physletb.2018.09.062</dc:identifier>
   <dc:identifier>316</dc:identifier>
   <dc:identifier>335</dc:identifier>
   <dc:identifier>788</dc:identifier>
   <dc:identifier>Science Citation Index Expanded (SCI-EXPANDED)</dc:identifier>
   <dc:identifier>WOS:000455364400042</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>PHYSICS LETTERS B</dc:relation>
   <dc:relation>gold</dc:relation>
   <dc:relation>Green Submitted</dc:relation>
   <dc:relation>Green Accepted</dc:relation>
   <dc:relation>ANPCyT, Argentina</dc:relation>
   <dc:relation>YerPhI, Armenia</dc:relation>
   <dc:relation>ARC, Australia</dc:relation>
   <dc:relation>BMWFW</dc:relation>
   <dc:relation>FWF, Austria</dc:relation>
   <dc:relation>ANAS</dc:relation>
   <dc:relation>SSTC, Belarus</dc:relation>
   <dc:relation>CNPq</dc:relation>
   <dc:relation>FAPESP, Brazil</dc:relation>
   <dc:relation>NSERC</dc:relation>
   <dc:relation>CFI, Canada</dc:relation>
   <dc:relation>CONICYT</dc:relation>
   <dc:relation>NSFC, China</dc:relation>
   <dc:relation>COLCIENCIAS, Colombia</dc:relation>
   <dc:relation>MSMT CR</dc:relation>
   <dc:relation>MPO CR</dc:relation>
   <dc:relation>VSC CR, Czech Republic</dc:relation>
   <dc:relation>DNRF</dc:relation>
   <dc:relation>DNSRC, Denmark</dc:relation>
   <dc:relation>IN2P3-CNRS, CEA-DRF/IRFU, France</dc:relation>
   <dc:relation>BMBF</dc:relation>
   <dc:relation>MPG, Germany</dc:relation>
   <dc:relation>GSRT, Greece</dc:relation>
   <dc:relation>RGC, Hong Kong SAR, China</dc:relation>
   <dc:relation>I-CORE</dc:relation>
   <dc:relation>Benoziyo Center, Israel</dc:relation>
   <dc:relation>INFN, Italy</dc:relation>
   <dc:relation>MEXT</dc:relation>
   <dc:relation>JSPS, Japan</dc:relation>
   <dc:relation>CNRST, Morocco</dc:relation>
   <dc:relation>NWO, Netherlands</dc:relation>
   <dc:relation>RCN, Norway</dc:relation>
   <dc:relation>MNiSW</dc:relation>
   <dc:relation>NCN, Poland</dc:relation>
   <dc:relation>FCT, Portugal</dc:relation>
   <dc:relation>MNE/IFA, Romania</dc:relation>
   <dc:relation>MESTD, Serbia</dc:relation>
   <dc:relation>MSSR, Slovakia</dc:relation>
   <dc:relation>ARRS</dc:relation>
   <dc:relation>MIZS, Slovenia</dc:relation>
   <dc:relation>MINECO, Spain</dc:relation>
   <dc:relation>Wallenberg Foundation, Sweden</dc:relation>
   <dc:relation>SNSF and Cantons of Bern and Geneva, Switzerland</dc:relation>
   <dc:relation>MOST, Taiwan</dc:relation>
   <dc:relation>TAEK, Turkey</dc:relation>
   <dc:relation>STFC</dc:relation>
   <dc:relation>DOE</dc:relation>
   <dc:relation>NSF, United States of America</dc:relation>
   <dc:relation>BCKDF, the Canada Council, CANARIE</dc:relation>
   <dc:relation>FQRNT</dc:relation>
   <dc:relation>Ontario Innovation Trust, Canada</dc:relation>
   <dc:relation>ERC</dc:relation>
   <dc:relation>ERDF</dc:relation>
   <dc:relation>Marie Sklodowska-Curie Actions, European Union</dc:relation>
   <dc:relation>Investissements d'Avenir Labex</dc:relation>
   <dc:relation>ANR, Region Auvergne</dc:relation>
   <dc:relation>Fondation Partager le Savoir, France</dc:relation>
   <dc:relation>DFG</dc:relation>
   <dc:relation>AvH Foundation, Germany - EU-ESF</dc:relation>
   <dc:relation>Greek NSRF</dc:relation>
   <dc:relation>BSF, GIF</dc:relation>
   <dc:relation>Minerva, Israel</dc:relation>
   <dc:relation>BRF, Norway</dc:relation>
   <dc:relation>CERCA Programme Generalitat de Catalunya</dc:relation>
   <dc:relation>Generalitat Valenciana, Spain</dc:relation>
   <dc:relation>Royal Society</dc:relation>
   <dc:relation>Leverhulme Trust, United Kingdom</dc:relation>
   <dc:relation>NDGF (Denmark, Norway, Sweden)</dc:relation>
   <dc:relation>KIT/GridKA (Germany)</dc:relation>
   <dc:relation>INFN-CNAF (Italy)</dc:relation>
   <dc:relation>NL-T1 (Netherlands), PIC (Spain)</dc:relation>
   <dc:relation>ASGC (Taiwan)</dc:relation>
   <dc:relation>BNL (USA)</dc:relation>
   <dc:relation>STFC [ST/R002436/1, ST/J004804/1, ST/J005509/1, ST/J005533/1, ST/I006064/1, ST/N000307/1, ST/M000753/1, ST/M006425/1, ST/S00095X/1, ST/N000420/1, ST/H001158/2, ST/P002439/1, ST/S000860/1, ST/N000277/1, ST/K000837/1, ST/N000234/1, ST/M00256X/1, ST/L003449/1, ST/P00234X/1, ST/H001158/1, ST/N000447/1, ST/L001020/1, ST/K001329/1, ST/L001217/1, ST/S000747/1, 1659192, ST/L006162/1] Funding Source: UKRI</dc:relation>
   <dc:relation>Science and Technology Facilities Council [ST/L001217/1 ATLAS Upgrades, ST/N000447/1, ST/L006162/1, ST/J005533/1, ST/J004804/1, ST/M006425/1, ST/M006425/1 ATLAS Upgrades, ST/N000234/1, ST/H001158/1, ST/M000753/1, ST/H001158/2, ST/N000277/1, ATLAS, ST/K001329/1, ST/L003449/1, ST/J005509/1 ATLAS Upgrades, ST/M00256X/1 ATLAS Upgrades, ST/L001217/1, ST/L001020/1 ATLAS Upgrade, GRIDPP, ST/L001020/1, ST/K001310/1, ST/L001020/1 ATLAS Upgrades, ST/L001217/1 ATLAS Upgrade, ST/M00256X/1, ST/I006064/1, ST/N000307/1, 1659192, ST/J005509/1, ST/N000420/1, ST/P00234X/1, ST/R002436/1, ST/K000837/1, ST/P002439/1, ST/S000747/1] Funding Source: researchfish</dc:relation>
   <dc:relation>ANPCyT, Argentina(ANPCyT)</dc:relation>
   <dc:relation>YerPhI, Armenia</dc:relation>
   <dc:relation>ARC, Australia(Australian Research Council)</dc:relation>
   <dc:relation>BMWFW</dc:relation>
   <dc:relation>FWF, Austria(Austrian Science Fund (FWF))</dc:relation>
   <dc:relation>ANAS(Azerbaijan National Academy of Sciences (ANAS))</dc:relation>
   <dc:relation>SSTC, Belarus</dc:relation>
   <dc:relation>CNPq(Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ))</dc:relation>
   <dc:relation>FAPESP, Brazil(Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP))</dc:relation>
   <dc:relation>NSERC(Natural Sciences and Engineering Research Council of Canada (NSERC))</dc:relation>
   <dc:relation>CFI, Canada(Canada Foundation for Innovation)</dc:relation>
   <dc:relation>CONICYT(Comision Nacional de Investigacion Cientifica y Tecnologica (CONICYT))</dc:relation>
   <dc:relation>NSFC, China(National Natural Science Foundation of China (NSFC))</dc:relation>
   <dc:relation>COLCIENCIAS, Colombia(Departamento Administrativo de Ciencia, Tecnologia e Innovacion Colciencias)</dc:relation>
   <dc:relation>MSMT CR(Ministry of Education, Youth &amp; Sports - Czech Republic)</dc:relation>
   <dc:relation>MPO CR</dc:relation>
   <dc:relation>VSC CR, Czech Republic(Czech Republic Government)</dc:relation>
   <dc:relation>DNRF</dc:relation>
   <dc:relation>DNSRC, Denmark(Danish Natural Science Research Council)</dc:relation>
   <dc:relation>IN2P3-CNRS, CEA-DRF/IRFU, France</dc:relation>
   <dc:relation>BMBF(Federal Ministry of Education &amp; Research (BMBF))</dc:relation>
   <dc:relation>MPG, Germany(Max Planck Society)</dc:relation>
   <dc:relation>GSRT, Greece(Greek Ministry of Development-GSRT)</dc:relation>
   <dc:relation>RGC, Hong Kong SAR, China(Hong Kong Research Grants Council)</dc:relation>
   <dc:relation>I-CORE</dc:relation>
   <dc:relation>Benoziyo Center, Israel</dc:relation>
   <dc:relation>INFN, Italy(Istituto Nazionale di Fisica Nucleare (INFN))</dc:relation>
   <dc:relation>MEXT(Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT))</dc:relation>
   <dc:relation>JSPS, Japan(Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT)Japan Society for the Promotion of Science)</dc:relation>
   <dc:relation>CNRST, Morocco</dc:relation>
   <dc:relation>NWO, Netherlands</dc:relation>
   <dc:relation>RCN, Norway(Research Council of Norway)</dc:relation>
   <dc:relation>MNiSW(Ministry of Science and Higher Education, Poland)</dc:relation>
   <dc:relation>NCN, Poland</dc:relation>
   <dc:relation>FCT, Portugal(Fundacao para a Ciencia e a Tecnologia (FCT))</dc:relation>
   <dc:relation>MNE/IFA, Romania</dc:relation>
   <dc:relation>MESTD, Serbia(Ministry of Education, Science &amp; Technological Development, Serbia)</dc:relation>
   <dc:relation>MSSR, Slovakia</dc:relation>
   <dc:relation>ARRS(Slovenian Research Agency - Slovenia)</dc:relation>
   <dc:relation>MIZS, Slovenia</dc:relation>
   <dc:relation>MINECO, Spain(Spanish Government)</dc:relation>
   <dc:relation>Wallenberg Foundation, Sweden</dc:relation>
   <dc:relation>SNSF and Cantons of Bern and Geneva, Switzerland(Swiss National Science Foundation (SNSF))</dc:relation>
   <dc:relation>MOST, Taiwan(Ministry of Science and Technology, Taiwan)</dc:relation>
   <dc:relation>TAEK, Turkey(Ministry of Energy &amp; Natural Resources - Turkey)</dc:relation>
   <dc:relation>STFC(UK Research &amp; Innovation (UKRI)Science &amp; Technology Facilities Council (STFC))</dc:relation>
   <dc:relation>DOE(United States Department of Energy (DOE))</dc:relation>
   <dc:relation>NSF, United States of America(National Science Foundation (NSF))</dc:relation>
   <dc:relation>BCKDF, the Canada Council, CANARIE</dc:relation>
   <dc:relation>FQRNT(Fonds de recherche du Quebec (FRQ)Fonds de recherche du Quebec - Nature et technologies (FRQNT))</dc:relation>
   <dc:relation>Ontario Innovation Trust, Canada</dc:relation>
   <dc:relation>ERC(European Research Council (ERC))</dc:relation>
   <dc:relation>ERDF(European Union (EU))</dc:relation>
   <dc:relation>Marie Sklodowska-Curie Actions, European Union(European Union (EU)Marie Curie Actions)</dc:relation>
   <dc:relation>Investissements d'Avenir Labex(Agence Nationale de la Recherche (ANR))</dc:relation>
   <dc:relation>ANR, Region Auvergne(Agence Nationale de la Recherche (ANR))</dc:relation>
   <dc:relation>Fondation Partager le Savoir, France</dc:relation>
   <dc:relation>DFG(German Research Foundation (DFG))</dc:relation>
   <dc:relation>AvH Foundation, Germany - EU-ESF(Alexander von Humboldt Foundation)</dc:relation>
   <dc:relation>Greek NSRF(Greek Ministry of Development-GSRT)</dc:relation>
   <dc:relation>BSF, GIF</dc:relation>
   <dc:relation>Minerva, Israel</dc:relation>
   <dc:relation>BRF, Norway</dc:relation>
   <dc:relation>CERCA Programme Generalitat de Catalunya</dc:relation>
   <dc:relation>Generalitat Valenciana, Spain(Center for Forestry Research &amp; Experimentation (CIEF))</dc:relation>
   <dc:relation>Royal Society(Royal Society UK)</dc:relation>
   <dc:relation>Leverhulme Trust, United Kingdom(Leverhulme Trust)</dc:relation>
   <dc:relation>NDGF (Denmark, Norway, Sweden)</dc:relation>
   <dc:relation>KIT/GridKA (Germany)</dc:relation>
   <dc:relation>INFN-CNAF (Italy)</dc:relation>
   <dc:relation>NL-T1 (Netherlands), PIC (Spain)</dc:relation>
   <dc:relation>ASGC (Taiwan)</dc:relation>
   <dc:relation>BNL (USA)</dc:relation>
   <dc:relation>STFC(UK Research &amp; Innovation (UKRI)Science &amp; Technology Facilities Council (STFC))</dc:relation>
   <dc:relation>Science and Technology Facilities Council(UK Research &amp; Innovation (UKRI)Science &amp; Technology Facilities Council (STFC))</dc:relation>
   <dc:relation>We acknowledge the support of ANPCyT, Argentina, YerPhI, Armenia, ARC, Australia, BMWFW and FWF, Austria, ANAS, Azerbaijan, SSTC, Belarus, CNPq and FAPESP, Brazil, NSERC, NRC and CFI, Canada, CERN, CONICYT, Chile, CAS, MOST and NSFC, China, COLCIENCIAS, Colombia, MSMT CR, MPO CR and VSC CR, Czech Republic, DNRF and DNSRC, Denmark, IN2P3-CNRS, CEA-DRF/IRFU, France, SRNSFG, Georgia, BMBF, HGF, and MPG, Germany, GSRT, Greece, RGC, Hong Kong SAR, China, ISF, I-CORE and Benoziyo Center, Israel, INFN, Italy, MEXT and JSPS, Japan, CNRST, Morocco, NWO, Netherlands, RCN, Norway, MNiSW and NCN, Poland, FCT, Portugal, MNE/IFA, Romania, MES of Russia and NRC KI, Russian Federation, JINR, MESTD, Serbia, MSSR, Slovakia, ARRS and MIZS, Slovenia, DST/NRF, South Africa, MINECO, Spain, SRC and Wallenberg Foundation, Sweden, SERI, SNSF and Cantons of Bern and Geneva, Switzerland, MOST, Taiwan, TAEK, Turkey, STFC, United Kingdom, DOE and NSF, United States of America. In addition, individual groups and members have received support from BCKDF, the Canada Council, CANARIE, CRC, Compute Canada, FQRNT, and the Ontario Innovation Trust, Canada, EPLANET, ERC, ERDF, FP7, Horizon 2020 and Marie Sklodowska-Curie Actions, European Union, Investissements dAvenir Labex and Idex, ANR, Region Auvergne and Fondation Partager le Savoir, France, DFG and AvH Foundation, Germany, Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, BSF, GIF and Minerva, Israel, BRF, Norway, CERCA Programme Generalitat de Catalunya, Generalitat Valenciana, Spain, the Royal Society and Leverhulme Trust, United Kingdom.r The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, the ATLAS Tier-1facilities at TRIUMF (Canada), NDGF (Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), PIC (Spain), ASGC (Taiwan), RAL (UK) and BNL (USA), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of computing resources are listed in Ref.[61].</dc:relation>
   <dc:publisher>ELSEVIER</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/1222</identifier><datestamp>2025-06-02T11:22:23Z</datestamp><setSpec>com_20.500.14719_11</setSpec><setSpec>col_20.500.14719_1762</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Bilgi teknolojileri departmanında mühendis işe alımı</dc:title>
   <dc:creator>Nazlı, Kutay Kaan</dc:creator>
   <dc:contributor>Bozbura, Tunç</dc:contributor>
   <dc:subject>Computer industry</dc:subject>
   <dc:subject>Employees</dc:subject>
   <dc:subject>Employees</dc:subject>
   <dc:subject>Supply and demand</dc:subject>
   <dc:date>2018-11-12T11:10:06Z</dc:date>
   <dc:date>2018-11-12T11:10:06Z</dc:date>
   <dc:date>2018</dc:date>
   <dc:type>Thesis</dc:type>
   <dc:identifier>https://hdl.handle.net/20.500.14719/1222</dc:identifier>
   <dc:language>other</dc:language>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Fen Bilimleri Enstitüsü</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/975</identifier><datestamp>2025-06-02T11:22:23Z</datestamp><setSpec>com_20.500.14719_11</setSpec><setSpec>col_20.500.14719_1762</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Data mining techniques in emboli detection</dc:title>
   <dc:creator>Kucur, Türkalp</dc:creator>
   <dc:subject>Embolism</dc:subject>
   <dc:subject>Dissertations, Academic</dc:subject>
   <dc:date>2015-12-23T17:32:09Z</dc:date>
   <dc:date>2015-12-23T17:32:09Z</dc:date>
   <dc:date>2008</dc:date>
   <dc:type>Thesis</dc:type>
   <dc:identifier>https://hdl.handle.net/20.500.14719/975</dc:identifier>
   <dc:language>en</dc:language>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Institute of Science</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/13039</identifier><datestamp>2025-10-05T16:37:15Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Combining multiple clusterings for protein structure prediction</dc:title>
   <dc:creator>Sakar, C. Okan</dc:creator>
   <dc:creator>Kursun, Olcay</dc:creator>
   <dc:creator>Şeker, Hüseyin</dc:creator>
   <dc:creator>Gürgen, Fïkret S.</dc:creator>
   <dc:contributor>Sakar, C. Okan, Department of Computer Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Kursun, Olcay, Department of Computer Engineering, Istanbul Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Şeker, Hüseyin, Bio-Health Informatics Research Group, De Montfort University, Leicester, United Kingdom</dc:contributor>
   <dc:contributor>Gürgen, Fïkret S., Department of Computer Engineering, Boğaziçi Üniversitesi, Bebek, Turkey</dc:contributor>
   <dc:subject>Bioinformatics</dc:subject>
   <dc:subject>Cluster Ensembles</dc:subject>
   <dc:subject>Mutual Information</dc:subject>
   <dc:subject>Protein Structure Prediction</dc:subject>
   <dc:subject>Robust Clustering</dc:subject>
   <dc:subject>View Selection</dc:subject>
   <dc:subject>Protein</dc:subject>
   <dc:subject>Proteins</dc:subject>
   <dc:subject>Protein</dc:subject>
   <dc:subject>Algorithm</dc:subject>
   <dc:subject>Amino Acid Sequence</dc:subject>
   <dc:subject>Automated Pattern Recognition</dc:subject>
   <dc:subject>Chemical Model</dc:subject>
   <dc:subject>Chemical Structure</dc:subject>
   <dc:subject>Chemistry</dc:subject>
   <dc:subject>Computer Simulation</dc:subject>
   <dc:subject>Data Mining</dc:subject>
   <dc:subject>Molecular Genetics</dc:subject>
   <dc:subject>Procedures</dc:subject>
   <dc:subject>Protein Conformation</dc:subject>
   <dc:subject>Protein Database</dc:subject>
   <dc:subject>Sequence Alignment</dc:subject>
   <dc:subject>Sequence Analysis</dc:subject>
   <dc:subject>Ultrastructure</dc:subject>
   <dc:subject>Algorithms</dc:subject>
   <dc:subject>Amino Acid Sequence</dc:subject>
   <dc:subject>Computer Simulation</dc:subject>
   <dc:subject>Data Mining</dc:subject>
   <dc:subject>Databases, Protein</dc:subject>
   <dc:subject>Models, Chemical</dc:subject>
   <dc:subject>Models, Molecular</dc:subject>
   <dc:subject>Molecular Sequence Data</dc:subject>
   <dc:subject>Pattern Recognition, Automated</dc:subject>
   <dc:subject>Protein Conformation</dc:subject>
   <dc:subject>Proteins</dc:subject>
   <dc:subject>Sequence Alignment</dc:subject>
   <dc:subject>Sequence Analysis, Protein</dc:subject>
   <dc:subject>protein</dc:subject>
   <dc:subject>algorithm</dc:subject>
   <dc:subject>amino acid sequence</dc:subject>
   <dc:subject>automated pattern recognition</dc:subject>
   <dc:subject>chemical model</dc:subject>
   <dc:subject>chemical structure</dc:subject>
   <dc:subject>chemistry</dc:subject>
   <dc:subject>computer simulation</dc:subject>
   <dc:subject>data mining</dc:subject>
   <dc:subject>molecular genetics</dc:subject>
   <dc:subject>procedures</dc:subject>
   <dc:subject>protein conformation</dc:subject>
   <dc:subject>protein database</dc:subject>
   <dc:subject>sequence alignment</dc:subject>
   <dc:subject>sequence analysis</dc:subject>
   <dc:subject>ultrastructure</dc:subject>
   <dc:subject>Algorithms</dc:subject>
   <dc:subject>Amino Acid Sequence</dc:subject>
   <dc:subject>Computer Simulation</dc:subject>
   <dc:subject>Data Mining</dc:subject>
   <dc:subject>Databases, Protein</dc:subject>
   <dc:subject>Models, Chemical</dc:subject>
   <dc:subject>Models, Molecular</dc:subject>
   <dc:subject>Molecular Sequence Data</dc:subject>
   <dc:subject>Pattern Recognition, Automated</dc:subject>
   <dc:subject>Protein Conformation</dc:subject>
   <dc:subject>Proteins</dc:subject>
   <dc:subject>Sequence Alignment</dc:subject>
   <dc:subject>Sequence Analysis, Protein</dc:subject>
   <dc:description>Computational annotation and prediction of protein structure is very important in the post-genome era due to existence of many different proteins, most of which are yet to be verified. Mutual information based feature selection methods can be used in selecting such minimal yet predictive subsets of features. However, as protein features are organised into natural partitions, individual feature selection that ignores the presence of these views, dismantles them, and treats their variables intermixed along with those of others at best results in a complex un-interpretable predictive system for such multi-view datasets. In this paper, instead of selecting a subset of individual features, each feature subset is passed through a clustering step so that it is represented in discrete form using the cluster indices, this makes mutual information based methods applicable to view-selection. We present our experimental results on a multi-view protein dataset that are used to predict protein structure. Copyright © 2014 Inderscience Enterprises Ltd. © 2020 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T16:37:14Z</dc:date>
   <dc:date>2014</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>17485673</dc:identifier>
   <dc:identifier>17485681</dc:identifier>
   <dc:identifier>https://doi.org/10.1504/IJDMB.2014.064012</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/13039</dc:identifier>
   <dc:identifier>10.1504/IJDMB.2014.064012</dc:identifier>
   <dc:identifier>2-s2.0-84905565555</dc:identifier>
   <dc:identifier>162</dc:identifier>
   <dc:identifier>174</dc:identifier>
   <dc:identifier>10</dc:identifier>
   <dc:identifier>2</dc:identifier>
   <dc:identifier>25796736</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>International Journal of Data Mining and Bioinformatics</dc:relation>
   <dc:publisher>Inderscience Publishers</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/8157</identifier><datestamp>2026-06-14T00:00:36Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Changes in the superior longitudinal fasciculus and anterior thalamic radiation in the left brain are associated with developmental dyscalculia</dc:title>
   <dc:creator>Ayyıldız, Nazife</dc:creator>
   <dc:creator>Beyer, Frauke</dc:creator>
   <dc:creator>Üstün, Sertaç</dc:creator>
   <dc:creator>Kale, Emre H.</dc:creator>
   <dc:creator>Çalişir, Öykü Mançe</dc:creator>
   <dc:creator>Uran, Pınar I.</dc:creator>
   <dc:creator>Öner, Özgür</dc:creator>
   <dc:creator>Olkun, Sinan</dc:creator>
   <dc:creator>Anwander, Alfred</dc:creator>
   <dc:creator>Witte, Veronica</dc:creator>
   <dc:contributor>Ayyıldız, Nazife, Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, Department of Interdisciplinary Neuroscience, Ankara Üniversitesi, Ankara, Turkey</dc:contributor>
   <dc:contributor>Beyer, Frauke, Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, Subproject A1, Universität Leipzig, Leipzig, Germany</dc:contributor>
   <dc:contributor>Üstün, Sertaç, Department of Interdisciplinary Neuroscience, Ankara Üniversitesi, Ankara, Turkey, Department of Physiology, Ankara Üniversitesi, Ankara, Turkey, Neuroscience and Neurotechnology Center of Excellence (NÖROM), Ankara, Turkey</dc:contributor>
   <dc:contributor>Kale, Emre H., Department of Interdisciplinary Neuroscience, Ankara Üniversitesi, Ankara, Turkey</dc:contributor>
   <dc:contributor>Çalişir, Öykü Mançe, Department of Interdisciplinary Neuroscience, Ankara Üniversitesi, Ankara, Turkey, Department of Educational Sciences, Ankara Üniversitesi, Ankara, Turkey</dc:contributor>
   <dc:contributor>Uran, Pınar I., Department of Child and Adolescent Psychiatry, Izmir Democracy University, Izmir, Turkey</dc:contributor>
   <dc:contributor>Öner, Özgür, Department of Child and Adolescent Psychiatry, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Olkun, Sinan, Department of Elementary Education, Ankara Üniversitesi, Ankara, Turkey</dc:contributor>
   <dc:contributor>Anwander, Alfred, Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany</dc:contributor>
   <dc:contributor>Witte, Veronica, Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany</dc:contributor>
   <dc:subject>Anterior Thalamic Radiation</dc:subject>
   <dc:subject>Arithmetic And Numerical Abilities</dc:subject>
   <dc:subject>Childhood White Matter</dc:subject>
   <dc:subject>Diffusion-weighted Magnetic Resonance Imaging</dc:subject>
   <dc:subject>Mathematical Learning Disability</dc:subject>
   <dc:subject>Probabilistic Tractography</dc:subject>
   <dc:subject>Superior Longitudinal Fasciculus</dc:subject>
   <dc:subject>Tract Length</dc:subject>
   <dc:subject>3 Tesla Tim-trio Mri Scanner</dc:subject>
   <dc:subject>Adulthood</dc:subject>
   <dc:subject>Anxiety</dc:subject>
   <dc:subject>Aptitude</dc:subject>
   <dc:subject>Arcuate Fasciculus</dc:subject>
   <dc:subject>Arithmetic</dc:subject>
   <dc:subject>Article</dc:subject>
   <dc:subject>Attention Deficit Hyperactivity Disorder</dc:subject>
   <dc:subject>Autism</dc:subject>
   <dc:subject>Brain Depth Stimulation</dc:subject>
   <dc:subject>Brain Development</dc:subject>
   <dc:subject>Brain Size</dc:subject>
   <dc:subject>Child</dc:subject>
   <dc:subject>Cognition</dc:subject>
   <dc:subject>Controlled Study</dc:subject>
   <dc:subject>Corpus Callosum</dc:subject>
   <dc:subject>Diffusion Tensor Imaging</dc:subject>
   <dc:subject>Diffusion Weighted Imaging</dc:subject>
   <dc:subject>Dyscalculia</dc:subject>
   <dc:subject>Female</dc:subject>
   <dc:subject>Fractional Anisotropy</dc:subject>
   <dc:subject>Human</dc:subject>
   <dc:subject>Image Segmentation</dc:subject>
   <dc:subject>Intelligence Quotient</dc:subject>
   <dc:subject>Learning Disorder</dc:subject>
   <dc:subject>Left Hemisphere</dc:subject>
   <dc:subject>Longitudinal Study</dc:subject>
   <dc:subject>Male</dc:subject>
   <dc:subject>Mental Disease</dc:subject>
   <dc:subject>Morphometry</dc:subject>
   <dc:subject>Myelination</dc:subject>
   <dc:subject>Neuroimaging</dc:subject>
   <dc:subject>Nuclear Magnetic Resonance Imaging</dc:subject>
   <dc:subject>Quality Control</dc:subject>
   <dc:subject>Quality Of Life</dc:subject>
   <dc:subject>Questionnaire</dc:subject>
   <dc:subject>School Child</dc:subject>
   <dc:subject>Semi Structured Interview</dc:subject>
   <dc:subject>Superior Longitudinal Fasciculus</dc:subject>
   <dc:subject>Test Retest Reliability</dc:subject>
   <dc:subject>Thalamus</dc:subject>
   <dc:subject>White Matter</dc:subject>
   <dc:subject>adulthood</dc:subject>
   <dc:subject>anxiety</dc:subject>
   <dc:subject>aptitude</dc:subject>
   <dc:subject>arcuate fasciculus</dc:subject>
   <dc:subject>arithmetic</dc:subject>
   <dc:subject>Article</dc:subject>
   <dc:subject>attention deficit hyperactivity disorder</dc:subject>
   <dc:subject>autism</dc:subject>
   <dc:subject>brain depth stimulation</dc:subject>
   <dc:subject>brain development</dc:subject>
   <dc:subject>brain size</dc:subject>
   <dc:subject>child</dc:subject>
   <dc:subject>cognition</dc:subject>
   <dc:subject>controlled study</dc:subject>
   <dc:subject>corpus callosum</dc:subject>
   <dc:subject>diffusion tensor imaging</dc:subject>
   <dc:subject>diffusion weighted imaging</dc:subject>
   <dc:subject>dyscalculia</dc:subject>
   <dc:subject>female</dc:subject>
   <dc:subject>fractional anisotropy</dc:subject>
   <dc:subject>human</dc:subject>
   <dc:subject>image segmentation</dc:subject>
   <dc:subject>intelligence quotient</dc:subject>
   <dc:subject>learning disorder</dc:subject>
   <dc:subject>left hemisphere</dc:subject>
   <dc:subject>longitudinal study</dc:subject>
   <dc:subject>male</dc:subject>
   <dc:subject>mental disease</dc:subject>
   <dc:subject>morphometry</dc:subject>
   <dc:subject>myelination</dc:subject>
   <dc:subject>neuroimaging</dc:subject>
   <dc:subject>nuclear magnetic resonance imaging</dc:subject>
   <dc:subject>quality control</dc:subject>
   <dc:subject>quality of life</dc:subject>
   <dc:subject>questionnaire</dc:subject>
   <dc:subject>school child</dc:subject>
   <dc:subject>semi structured interview</dc:subject>
   <dc:subject>superior longitudinal fasciculus</dc:subject>
   <dc:subject>test retest reliability</dc:subject>
   <dc:subject>thalamus</dc:subject>
   <dc:subject>white matter</dc:subject>
   <dc:description>Developmental dyscalculia is a neurodevelopmental disorder specific to arithmetic learning even with normal intelligence and age-appropriate education. Difficulties often persist from childhood through adulthood lowering the individual’s quality of life. However, the neural correlates of developmental dyscalculia are poorly understood. This study aimed to identify brain structural connectivity alterations in developmental dyscalculia. All participants were recruited from a large scale, non-referred population sample in a longitudinal design. We studied 10 children with developmental dyscalculia (11.3 ± 0.7 years) and 16 typically developing peers (11.2 ± 0.6 years) using diffusion-weighted magnetic resonance imaging. We assessed white matter microstructure with tract-based spatial statistics in regions-of-interest tracts that had previously been related to math ability in children. Then we used global probabilistic tractography for the first time to measure and compare tract length between developmental dyscalculia and typically developing groups. The high angular resolution diffusion-weighted magnetic resonance imaging and crossing-fiber probabilistic tractography allowed us to evaluate the length of the pathways compared to previous studies. The major findings of our study were reduced white matter coherence and shorter tract length of the left superior longitudinal/arcuate fasciculus and left anterior thalamic radiation in the developmental dyscalculia group. Furthermore, the lower white matter coherence and shorter pathways tended to be associated with the lower math performance. These results from the regional analyses indicate that learning, memory and language-related pathways in the left hemisphere might be related to developmental dyscalculia in children. © 2024 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T15:06:45Z</dc:date>
   <dc:date>2023</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>16625161</dc:identifier>
   <dc:identifier>https://doi.org/10.3389/fnhum.2023.1147352</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/8157</dc:identifier>
   <dc:identifier>10.3389/fnhum.2023.1147352</dc:identifier>
   <dc:identifier>2-s2.0-85204050448</dc:identifier>
   <dc:identifier>17</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>Frontiers in Human Neuroscience</dc:relation>
   <dc:relation>All Open Access</dc:relation>
   <dc:relation>Gold Open Access</dc:relation>
   <dc:relation>Green Accepted Open Access</dc:relation>
   <dc:relation>Green Final Open Access</dc:relation>
   <dc:relation>Green Open Access</dc:relation>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Frontiers Media SA</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/16435</identifier><datestamp>2025-10-09T11:10:09Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Abundant new analytical and approximate solutions to the generalized Schamel equation</dc:title>
   <dc:creator>Ghanbari, Behzad</dc:creator>
   <dc:creator>Akgul, Ali</dc:creator>
   <dc:contributor>Kermanshah University of Technology</dc:contributor>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:contributor>Siirt University</dc:contributor>
   <dc:subject>Physics, Multidisciplinary</dc:subject>
   <dc:subject>exact optical solutions</dc:subject>
   <dc:subject>jacobi elliptic solutions</dc:subject>
   <dc:subject>the generalized schamel equation</dc:subject>
   <dc:subject>the reproducing kernel method</dc:subject>
   <dc:subject>numerical simulations</dc:subject>
   <dc:subject>HILBERT-SPACE METHOD</dc:subject>
   <dc:subject>WAVE SOLUTIONS</dc:subject>
   <dc:subject>SOLITONS</dc:subject>
   <dc:subject>SOLITARY</dc:subject>
   <dc:description>An exact solution of partial differential equations provides a lot of information for a model. Since obtaining such answers is generally very difficult or in some cases impossible, having powerful analytical methods in determining them seems very necessary. Unlike numerical methods, these methods have fewer constraints such as stability, convergence, and approximation error. This paper aims to consider the generalized Schamel equation which arises in the modeling of some problems in plasma physics. Fortunately, by applying a new analytical method, a large number of exact solutions to the model are obtained. The structure used in the solutions specified in this method uses Jacobi elliptic functions. In another part of the paper, an effective numerical method, namely the reproducing kernel method is used to approximate the solutions of the equation. Numerical simulations of some acquired exact and approximate solutions are also included. It seems that the employed methods can be considered as effective, powerful, and straightforward methods of studying equations. The methods can also be utilized to investigate other partial differential equations.</dc:description>
   <dc:date>2025-10-09T11:10:08Z</dc:date>
   <dc:date>2020</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>0031-8949</dc:identifier>
   <dc:identifier>1402-4896</dc:identifier>
   <dc:identifier>http://dx.doi.org/10.1088/1402-4896/ab8b27</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/16435</dc:identifier>
   <dc:identifier>10.1088/1402-4896/ab8b27</dc:identifier>
   <dc:identifier>95</dc:identifier>
   <dc:identifier>7</dc:identifier>
   <dc:identifier>Science Citation Index Expanded (SCI-EXPANDED)</dc:identifier>
   <dc:identifier>WOS:000536265300001</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>PHYSICA SCRIPTA</dc:relation>
   <dc:publisher>IOP PUBLISHING LTD</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/14727</identifier><datestamp>2025-10-09T10:39:47Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Evaluation and Facilitation of an In-Service Teacher Training Program: Impact on English Primary Teachers' Classroom Practices</dc:title>
   <dc:creator>Mede, Enisa</dc:creator>
   <dc:creator>Dollar, Yesim Kesli</dc:creator>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:subject>Education &amp; Educational Research</dc:subject>
   <dc:subject>PROFESSIONAL-DEVELOPMENT</dc:subject>
   <dc:subject>CURRICULUM INNOVATION</dc:subject>
   <dc:subject>TURKEY</dc:subject>
   <dc:description>This study aims to evaluate and facilitate a two-week INSET program designed for the primary English teachers working at private schools in Istanbul, Turkey. Specifically, this chapter not just focuses on the perceptions of the participating teachers regarding whether the program was planned and implemented parallel to the determinants of effective INSETs suggested in literature, but also, investigates the impact of such a training program on teachers' class practices. Additionally, the challenges the participating teachers went through while implementing what they learned into their teaching contexts were examined as well. In an attempt to facilitate follow-up, the findings of this study are hope to serve basis by providing suggestions for the development, improvement and implementation of new in-service teacher education programs, in return, it will also increase the quality of teaching and learning both in pre- and in-service teacher education.</dc:description>
   <dc:date>2025-10-09T10:39:47Z</dc:date>
   <dc:date>2017</dc:date>
   <dc:type>Article</dc:type>
   <dc:type>Book Chapter</dc:type>
   <dc:identifier>978-1-5225-1748-1</dc:identifier>
   <dc:identifier>978-1-5225-1747-4</dc:identifier>
   <dc:identifier>2327-6983</dc:identifier>
   <dc:identifier>2327-6991</dc:identifier>
   <dc:identifier>http://dx.doi.org/10.4018/978-1-5225-1747-4.ch013</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/14727</dc:identifier>
   <dc:identifier>10.4018/978-1-5225-1747-4.ch013</dc:identifier>
   <dc:identifier>230</dc:identifier>
   <dc:identifier>245</dc:identifier>
   <dc:identifier>Book Citation Index – Social Sciences &amp; Humanities (BKCI-SSH)</dc:identifier>
   <dc:identifier>WOS:000411492400014</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>FACILITATING IN-SERVICE TEACHER TRAINING FOR PROFESSIONAL DEVELOPMENT</dc:relation>
   <dc:relation>Advances in Higher Education and Professional Development Book Series</dc:relation>
   <dc:publisher>IGI GLOBAL</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/15297</identifier><datestamp>2025-10-09T10:49:18Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>One size does not fit all: external driver of the cryptocurrency world</dc:title>
   <dc:creator>Erzurumlu, Yaman Omer</dc:creator>
   <dc:creator>Oygur, Tunc</dc:creator>
   <dc:creator>Kirik, Alper</dc:creator>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:contributor>Yeditepe University</dc:contributor>
   <dc:subject>Business, Finance</dc:subject>
   <dc:subject>Cryptocurrency</dc:subject>
   <dc:subject>Bitcoin</dc:subject>
   <dc:subject>Ethereum</dc:subject>
   <dc:subject>Altcoin</dc:subject>
   <dc:subject>Wavelet correlation</dc:subject>
   <dc:subject>Wavelet coherence</dc:subject>
   <dc:subject>C23</dc:subject>
   <dc:subject>F36</dc:subject>
   <dc:subject>F65</dc:subject>
   <dc:subject>G15</dc:subject>
   <dc:subject>G2</dc:subject>
   <dc:subject>BITCOIN RETURNS</dc:subject>
   <dc:subject>INEFFICIENCY</dc:subject>
   <dc:subject>VOLATILITY</dc:subject>
   <dc:subject>ECONOMICS</dc:subject>
   <dc:subject>GOLD</dc:subject>
   <dc:subject>BEHAVIOR</dc:subject>
   <dc:subject>PREDICT</dc:subject>
   <dc:subject>MEMORY</dc:subject>
   <dc:subject>DOLLAR</dc:subject>
   <dc:subject>HEDGE</dc:subject>
   <dc:description>Purpose Considering the different motivation for the creation of each of these cryptocurrencies, the purpose of this paper is to examine whether there is a dominant external factor in the cryptocurrency world. Using a novel two-step time and frequency independent methodology, the authors examine a large scope of cryptocurrencies and external factors within the same period, and analytical framework. Design/methodology/approach The examined cryptocurrencies are Bitcoin, Ethereum, Ripple, Litecoin, Monero and Dash. In total, 18 external factors from 5 factor families are selected based on the mining motivation of these cryptocurrencies. The study first examines discrete wavelet transform-based (WTB) correlations, reduce the dimension and focuson relevant pairs. Selected pairs are further examined by wavelet coherence to capture the intermittent nature of the relationships allowing the most needed Flexibility of frequency and time domains. Findings Each coin appears to operate as a unique character with the exception of Bitcoin and Litecoin. There is no prominent external driver. The cryptocurrency market is not a clear substitute for a specific factor or market. Two-step WTB filtered wavelet coherence analysis help us to analyze a large number of factor without the loss of focus. The co-movements within the cryptocurrencies spillover from Ethereum to altcoins and later to Bitcoin. Originality/value The study presents one of the first examples of two-step WTB filtered wavelet coherence analysis. The methodology suggests an approach for simultaneous examination of large number of variables. The scope of the study provides a rather holistic view of the co-movements of external factors and major cryptocurrencies.</dc:description>
   <dc:date>2025-10-09T10:49:18Z</dc:date>
   <dc:date>2020</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>1086-7376</dc:identifier>
   <dc:identifier>1755-6791</dc:identifier>
   <dc:identifier>http://dx.doi.org/10.1108/SEF-01-2020-0018</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/15297</dc:identifier>
   <dc:identifier>10.1108/SEF-01-2020-0018</dc:identifier>
   <dc:identifier>545</dc:identifier>
   <dc:identifier>560</dc:identifier>
   <dc:identifier>37</dc:identifier>
   <dc:identifier>3</dc:identifier>
   <dc:identifier>Emerging Sources Citation Index (ESCI)</dc:identifier>
   <dc:identifier>WOS:000543486500001</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>STUDIES IN ECONOMICS AND FINANCE</dc:relation>
   <dc:publisher>EMERALD GROUP PUBLISHING LTD</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/926</identifier><datestamp>2025-06-02T08:38:46Z</datestamp><setSpec>com_20.500.14719_11</setSpec><setSpec>col_20.500.14719_1761</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Enerji arzı güvenliği açısından Avrupa Birliği - Türkiye ilişkileri</dc:title>
   <dc:creator>Kınık, Barış</dc:creator>
   <dc:subject>Power resources_European Union countries</dc:subject>
   <dc:subject>Energy policy_European Union countries</dc:subject>
   <dc:subject>National security_European Union countries</dc:subject>
   <dc:subject>Energy industries_European Union countries</dc:subject>
   <dc:subject>European Union_Foreign relations_Turkey</dc:subject>
   <dc:subject>Turkey_Foreign relations_European Union</dc:subject>
   <dc:date>2015-12-22T19:49:46Z</dc:date>
   <dc:date>2015-12-22T19:49:46Z</dc:date>
   <dc:date>2009</dc:date>
   <dc:type>Thesis</dc:type>
   <dc:identifier>https://hdl.handle.net/20.500.14719/926</dc:identifier>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Sosyal Bilimler Enstitisü</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/15387</identifier><datestamp>2025-10-09T10:50:59Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>A model for locating preventive health care facilities</dc:title>
   <dc:creator>Dogan, Kerim</dc:creator>
   <dc:creator>Karatas, Mumtaz</dc:creator>
   <dc:creator>Yakici, Ertan</dc:creator>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:subject>Operations Research &amp; Management Science</dc:subject>
   <dc:subject>Facility location</dc:subject>
   <dc:subject>Preventive health care</dc:subject>
   <dc:subject>Cancer screening</dc:subject>
   <dc:subject>Goal programming</dc:subject>
   <dc:subject>STOCHASTIC DEMAND</dc:subject>
   <dc:subject>NETWORK DESIGN</dc:subject>
   <dc:subject>PERFORMANCE</dc:subject>
   <dc:subject>ALLOCATION</dc:subject>
   <dc:subject>BREAST</dc:subject>
   <dc:subject>INTERVENTIONS</dc:subject>
   <dc:subject>CONGESTION</dc:subject>
   <dc:subject>CENTERS</dc:subject>
   <dc:subject>SERVERS</dc:subject>
   <dc:subject>CHOICE</dc:subject>
   <dc:description>In this paper, we focus on the problem of locating preventive health care (PHC) facilities. The most important factors that promote participation rates in PHC programs include the establishment of an appropriate infrastructure and the provision of a satisfactory quality of care. For this purpose, we develop a strategic level multi-objective mixed integer linear programming model for locating PHC facilities to ensure maximum participation and provide timely service to potential clients. We, then, apply the model to a case study of locating Cancer Early Diagnosis, Screening and Training Centers in Istanbul, Turkey and solve it considering the forecasted population of each district in Istanbul for the next 15 years. We also perform a sensitivity analysis to quantify the effect of different weighting strategies on the value of each term in the objective function.</dc:description>
   <dc:date>2025-10-09T10:50:59Z</dc:date>
   <dc:date>2020</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>1435-246X</dc:identifier>
   <dc:identifier>1613-9178</dc:identifier>
   <dc:identifier>http://dx.doi.org/10.1007/s10100-019-00621-4</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/15387</dc:identifier>
   <dc:identifier>10.1007/s10100-019-00621-4</dc:identifier>
   <dc:identifier>1091</dc:identifier>
   <dc:identifier>1121</dc:identifier>
   <dc:identifier>28</dc:identifier>
   <dc:identifier>3</dc:identifier>
   <dc:identifier>Science Citation Index Expanded (SCI-EXPANDED)</dc:identifier>
   <dc:identifier>WOS:000549626100011</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH</dc:relation>
   <dc:publisher>SPRINGER</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/10813</identifier><datestamp>2025-10-05T15:53:30Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>A review article on philosophy education as a stimuli for early brain development</dc:title>
   <dc:creator>Polat, Özgül</dc:creator>
   <dc:creator>Akay, Dicle</dc:creator>
   <dc:contributor>Polat, Özgül, Marmara Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Akay, Dicle, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:subject>Brain Development</dc:subject>
   <dc:subject>Neuroplasticity</dc:subject>
   <dc:subject>Philosophy Education</dc:subject>
   <dc:subject>Preschool Period</dc:subject>
   <dc:description>The studies examining the relationship between brain development and desired skills in accordance with the needs emerging from the changing conditions of today have started to change. Although philosophy is a curriculum that becomes widespread with Children for Philosophy developed by Matthew Lipman in Turkey, it is not a curriculum that becomes widespread in preschool period, a period that brain development is on such important. In preschool period that is seen as the most important period in terms of brain development, it is required that children are given the education that will positively affect their neuroplasticity (the flexibility of brain neurons). When the importance of philosophy education programs in early years on children is considered, the importance of giving philosophy education as a thinking skills education program positively affecting children’s thinking skills at first and their skills in all developmental areas in preschool period, becoming widespread these programs and increasing the resources for these programs emerges. Therefore, this study was a review article prepared by the aim of emphasizing the importance of philosophy education in preschool period as a stimuli for brain development, drawing attention to the importance of conducting these programs prevalently and systematically. © 2020 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T15:53:30Z</dc:date>
   <dc:date>2020</dc:date>
   <dc:type>Review</dc:type>
   <dc:identifier>13053515</dc:identifier>
   <dc:identifier>https://doi.org/10.17051/ilkonline.2020.696699</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/10813</dc:identifier>
   <dc:identifier>10.17051/ilkonline.2020.696699</dc:identifier>
   <dc:identifier>2-s2.0-85081198586</dc:identifier>
   <dc:identifier>1105</dc:identifier>
   <dc:identifier>1115</dc:identifier>
   <dc:identifier>19</dc:identifier>
   <dc:identifier>2</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>Elementary Education Online</dc:relation>
   <dc:relation>All Open Access</dc:relation>
   <dc:relation>Gold Open Access</dc:relation>
   <dc:publisher>Ankara University ioo.editor@gmail.com</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/5994</identifier><datestamp>2026-06-18T18:16:16Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2015</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Kriz Nedeni ve Çıkış Yolları</dc:title>
   <dc:creator>Akgüç, Öztin</dc:creator>
   <dc:contributor>Bahçeşehir Üniversitesi</dc:contributor>
   <dc:subject>İktisat</dc:subject>
   <dc:description>Yaşanılan ekonomik kriz ile ilgili olarak ortaya atılan görüşler : bu krizin, finansal krizin reel sektöre yansıması olduğu, ABD’de taşınmazlar sektöründe oluşan balonun finansal sektör aracılığı ile yaygın-laşmasından kaynaklandığı, kapitalist düzenin yarattığı bir kriz olarak ortaya çıktığı şeklindedir. Krizden çıkış paketlerinin mali olanakları artırmak şeklinde geliştiği de bilinmektedir. Türkiye’nin ise, 2009 yılın-da krizi daha fazla hissedeceği ileri sürülebilmektedir. Politik yapısı, bürokratik kapasitesi, eğitim düze-yi, yaygın değer yargıları nedeniyle Türkiye’nin ciddi bir kriz paketi hazırlayarak uygulamasına olanak görülmemektedir. Bu nedenlerle Türkiye’nin edilgen bir biçimde dünya ekonomisindeki gelişmelere göre çalkalanma ihtimali yüksektir.</dc:description>
   <dc:date>2025-09-20T20:04:24Z</dc:date>
   <dc:date>2009</dc:date>
   <dc:date>2022-07-29</dc:date>
   <dc:type>Review</dc:type>
   <dc:identifier>1304-0391</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/5994</dc:identifier>
   <dc:identifier>6</dc:identifier>
   <dc:identifier>11</dc:identifier>
   <dc:identifier>0</dc:identifier>
   <dc:identifier>42</dc:identifier>
   <dc:language>tr</dc:language>
   <dc:relation>Muhasebe ve Finansman Dergisi (. e-Muhasebe ve Finansman Dergisi)</dc:relation>
   <dc:format>application/pdf</dc:format>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/11677</identifier><datestamp>2026-06-14T00:00:39Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>A search for resonances decaying into a Higgs boson and a new particle X in the XH → qqbb final state with the ATLAS detector</dc:title>
   <dc:creator>Aaboud, M.</dc:creator>
   <dc:creator>Aad, Georges</dc:creator>
   <dc:creator>Abbott, Brad K.</dc:creator>
   <dc:creator>Abdinov, O. B.</dc:creator>
   <dc:creator>Abeloos, Baptiste</dc:creator>
   <dc:creator>Abidi, Syed Hani</dc:creator>
   <dc:creator>AbouZeid, O. S.</dc:creator>
   <dc:creator>Abraham, Nicola L.</dc:creator>
   <dc:creator>Abramowicz, Halina</dc:creator>
   <dc:creator>Abreu, Henso</dc:creator>
   <dc:contributor>Aaboud, M., Faculty of Science, Université Mohammed Premier Oujda, Oujda, Morocco</dc:contributor>
   <dc:contributor>Aad, Georges, Centre de Physique des Particules de Marseille, Marseille, France</dc:contributor>
   <dc:contributor>Abbott, Brad K., The University of Oklahoma, Norman, United States</dc:contributor>
   <dc:contributor>Abdinov, O. B., Azerbaijan National Academy of Sciences, Baku, Azerbaijan</dc:contributor>
   <dc:contributor>Abeloos, Baptiste, Laboratoire de l&amp;apos;Accélérateur Linéaire, Orsay, France</dc:contributor>
   <dc:contributor>Abidi, Syed Hani, INFN-TIFPA, Povo, Italy</dc:contributor>
   <dc:contributor>AbouZeid, O. S., Santa Cruz Institute for Particle Physics, Santa Cruz, United States</dc:contributor>
   <dc:contributor>Abraham, Nicola L., University of Sussex, Brighton, United Kingdom</dc:contributor>
   <dc:contributor>Abramowicz, Halina, Aristotle University of Thessaloniki, Thessaloniki, Greece</dc:contributor>
   <dc:contributor>Abreu, Henso, Tel Aviv University, Tel Aviv-Yafo, Israel</dc:contributor>
   <dc:description>A search for heavy resonances decaying into a Higgs boson (H) and a new particle (X) is reported, utilizing 36.1 fb−1 of proton–proton collision data at s=13TeV collected during 2015 and 2016 with the ATLAS detector at the CERN Large Hadron Collider. The particle X is assumed to decay to a pair of light quarks, and the fully hadronic final state XH→qq¯′bb¯ is analysed. The search considers the regime of high XH resonance masses, where the X and H bosons are both highly Lorentz-boosted and are each reconstructed using a single jet with large radius parameter. A two-dimensional phase space of XH mass versus X mass is scanned for evidence of a signal, over a range of XH resonance mass values between 1 TeV and 4 TeV, and for X particles with masses from 50 GeV to 1000 GeV. All search results are consistent with the expectations for the background due to Standard Model processes, and 95% CL upper limits are set, as a function of XH and X masses, on the production cross-section of the XH→qq¯′bb¯ resonance. © 2025 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T16:09:36Z</dc:date>
   <dc:date>2018</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>03702693</dc:identifier>
   <dc:identifier>https://doi.org/10.1016/j.physletb.2018.01.042</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/11677</dc:identifier>
   <dc:identifier>10.1016/j.physletb.2018.01.042</dc:identifier>
   <dc:identifier>2-s2.0-85046461175</dc:identifier>
   <dc:identifier>24</dc:identifier>
   <dc:identifier>45</dc:identifier>
   <dc:identifier>779</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics</dc:relation>
   <dc:relation>All Open Access</dc:relation>
   <dc:relation>Gold Open Access</dc:relation>
   <dc:relation>Green Accepted Open Access</dc:relation>
   <dc:relation>Green Open Access</dc:relation>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Elsevier B.V.</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/6851</identifier><datestamp>2026-06-14T00:00:40Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Enhancing solar energy conversion efficiency: Thermophysical property predicting of MXene/Graphene hybrid nanofluids via bayesian-optimized artificial neural networks</dc:title>
   <dc:creator>Jasim, Dehyaa J.</dc:creator>
   <dc:creator>Rajab, Husam</dc:creator>
   <dc:creator>Alizadeh, As&amp;apos;ad</dc:creator>
   <dc:creator>Sharma, Kamal</dc:creator>
   <dc:creator>Ahmed, Mohsen</dc:creator>
   <dc:creator>Kassim, Murizah Binti</dc:creator>
   <dc:creator>Abdul Ameer, Sabah Auda</dc:creator>
   <dc:creator>Alwan, Adil Abbas</dc:creator>
   <dc:creator>Salahshour, Soheil</dc:creator>
   <dc:creator>Maleki, Hamid N.</dc:creator>
   <dc:contributor>Jasim, Dehyaa J., Department of Petroleum Engineering, Al-Amarah University College, Amarah, Iraq</dc:contributor>
   <dc:contributor>Rajab, Husam, Department of Mechanical Engineering, Alasala Colleges, Dammam, Saudi Arabia</dc:contributor>
   <dc:contributor>Alizadeh, As&amp;apos;ad, Department of Civil Engineering, Cihan University-Erbil, Erbil, Iraq</dc:contributor>
   <dc:contributor>Sharma, Kamal, Institute of Engineering and Technology, GLA University, Mathura, Mathura, India</dc:contributor>
   <dc:contributor>Ahmed, Mohsen, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia</dc:contributor>
   <dc:contributor>Kassim, Murizah Binti, Universiti Teknologi MARA, Shah Alam, Malaysia, School of Electrical Engineering, Universiti Teknologi MARA, Shah Alam, Malaysia</dc:contributor>
   <dc:contributor>Abdul Ameer, Sabah Auda, Department of Automobile Engineering, University of Babylon, Babylon, Iraq, Ahl Al Bayt University, Karbala, Iraq</dc:contributor>
   <dc:contributor>Alwan, Adil Abbas, College of Technical Engineering, National University of Science and Technology, An Nasiriyah, Iraq</dc:contributor>
   <dc:contributor>Salahshour, Soheil, Faculty of Engineering and Natural Sciences, Istanbul Okan University, Tuzla, Turkey, Faculty of Engineering and Natural Sciences, Bahçeşehir Üniversitesi, Istanbul, Turkey, Department of Mathematics and Computer Science, Lebanese American University, Beirut, Lebanon</dc:contributor>
   <dc:contributor>Maleki, Hamid N., Renewable Energy Research Group, Isfahan, Iran</dc:contributor>
   <dc:subject>Artificial Neural Network</dc:subject>
   <dc:subject>Graphene</dc:subject>
   <dc:subject>Machine Learning</dc:subject>
   <dc:subject>Mxene</dc:subject>
   <dc:subject>Pvt Solar Panels</dc:subject>
   <dc:subject>Solar Energy Conversion</dc:subject>
   <dc:subject>Energy Conversion Efficiency</dc:subject>
   <dc:subject>Nanofluidics</dc:subject>
   <dc:subject>Solar Energy</dc:subject>
   <dc:subject>Solar Power Generation</dc:subject>
   <dc:subject>Expected Improvements</dc:subject>
   <dc:subject>Graphenes</dc:subject>
   <dc:subject>Machine-learning</dc:subject>
   <dc:subject>Multilayer Perceptrons Neural Networks (mlps)</dc:subject>
   <dc:subject>Mxene</dc:subject>
   <dc:subject>Neural-networks</dc:subject>
   <dc:subject>Pvt Solar Panel</dc:subject>
   <dc:subject>Solar Energy Conversions</dc:subject>
   <dc:subject>Solar Panels</dc:subject>
   <dc:subject>Thermo-physical Property</dc:subject>
   <dc:subject>Multilayer Neural Networks</dc:subject>
   <dc:subject>Energy conversion efficiency</dc:subject>
   <dc:subject>Nanofluidics</dc:subject>
   <dc:subject>Solar energy</dc:subject>
   <dc:subject>Solar power generation</dc:subject>
   <dc:subject>Expected improvements</dc:subject>
   <dc:subject>Graphenes</dc:subject>
   <dc:subject>Machine-learning</dc:subject>
   <dc:subject>Multilayer perceptrons neural networks (MLPs)</dc:subject>
   <dc:subject>Mxene</dc:subject>
   <dc:subject>Neural-networks</dc:subject>
   <dc:subject>PVT solar panel</dc:subject>
   <dc:subject>Solar energy conversions</dc:subject>
   <dc:subject>Solar panels</dc:subject>
   <dc:subject>Thermo-physical property</dc:subject>
   <dc:subject>Multilayer neural networks</dc:subject>
   <dc:description>Accurately predicting thermo-physical properties (TPPs) of MXene/graphene-based nanofluids is crucial for photovoltaic/thermal solar systems, driving focused research on developing precise TPP predictive models. This study presents optimized multi-layer perceptron neural network (MLPNN) models, leveraging Bayesian optimization to refine architectural and training hyperparameters, including hidden layers, neurons, activation functions, standardization, and regularization terms. A comparative analysis of Bayesian acquisition functions—the probability of improvement (POI), lower confidence bound (LCB), expected improvement (EI), expected improvement plus (EIP), expected improvement per second plus (EIPSP), and expected improvement per second (EIPS)—demonstrated that the POI-MLPNN achieves the most accurate results, as evidenced by the lowest MAPE of 1.0923 % and exceptional consistency with an R-value of 0.99811. The EI-MLPNN and EIP-MLPNN models recorded the same outputs. The EI/EIP-MLPNN (R = 0.99668) model excels in consistency over LCB-MLPNN (R = 0.99529) and EIPSP-MLPNN (R = 0.99667). The optimized models offer a reliable, cost-efficient alternate for experimental and computational TPP analyses. Leveraging insights from these models enables better control over nanofluid TPPs in solar systems, enhancing energy conversion efficiency. © 2024 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T14:40:16Z</dc:date>
   <dc:date>2024</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>25901230</dc:identifier>
   <dc:identifier>https://doi.org/10.1016/j.rineng.2024.102858</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/6851</dc:identifier>
   <dc:identifier>10.1016/j.rineng.2024.102858</dc:identifier>
   <dc:identifier>2-s2.0-85203523133</dc:identifier>
   <dc:identifier>24</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>Results in Engineering</dc:relation>
   <dc:relation>All Open Access</dc:relation>
   <dc:relation>Gold Open Access</dc:relation>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Elsevier B.V.</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/10769</identifier><datestamp>2026-06-14T00:00:40Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>The psychological impact of the COVID-19 pandemic on medical students in Turkey</dc:title>
   <dc:creator>Torun, Fuat Mehmet</dc:creator>
   <dc:creator>Torun, Sebahat Dilek</dc:creator>
   <dc:contributor>Torun, Fuat Mehmet, Department of Psychiatry, TC Istanbul Yeni Yuzyil University, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Torun, Sebahat Dilek, Department of Public Health, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:subject>Anxiety</dc:subject>
   <dc:subject>Impact Of Events</dc:subject>
   <dc:subject>Medical Students</dc:subject>
   <dc:subject>Novel Coronavirus</dc:subject>
   <dc:subject>Perceived Stress</dc:subject>
   <dc:subject>Adult</dc:subject>
   <dc:subject>Anxiety</dc:subject>
   <dc:subject>Appetite</dc:subject>
   <dc:subject>Article</dc:subject>
   <dc:subject>Biological Warfare Agent</dc:subject>
   <dc:subject>Chronic Disease</dc:subject>
   <dc:subject>Coronavirus Disease 2019</dc:subject>
   <dc:subject>Demography</dc:subject>
   <dc:subject>Family</dc:subject>
   <dc:subject>Female</dc:subject>
   <dc:subject>Gender</dc:subject>
   <dc:subject>Government</dc:subject>
   <dc:subject>Human</dc:subject>
   <dc:subject>Impact Of Events Scale</dc:subject>
   <dc:subject>Income</dc:subject>
   <dc:subject>Internet</dc:subject>
   <dc:subject>Male</dc:subject>
   <dc:subject>Medical Information</dc:subject>
   <dc:subject>Medical Student</dc:subject>
   <dc:subject>Online System</dc:subject>
   <dc:subject>Pandemic</dc:subject>
   <dc:subject>Perceived Stress Scale</dc:subject>
   <dc:subject>Personal Experience</dc:subject>
   <dc:subject>Psychological Aspect</dc:subject>
   <dc:subject>Questionnaire</dc:subject>
   <dc:subject>Sex Difference</dc:subject>
   <dc:subject>Sleep</dc:subject>
   <dc:subject>Social Aspect</dc:subject>
   <dc:subject>Social Media</dc:subject>
   <dc:subject>Stress</dc:subject>
   <dc:subject>Student Attitude</dc:subject>
   <dc:subject>Thinking</dc:subject>
   <dc:subject>Turkey (republic)</dc:subject>
   <dc:subject>Uncertainty</dc:subject>
   <dc:subject>adult</dc:subject>
   <dc:subject>anxiety</dc:subject>
   <dc:subject>appetite</dc:subject>
   <dc:subject>Article</dc:subject>
   <dc:subject>biological warfare agent</dc:subject>
   <dc:subject>chronic disease</dc:subject>
   <dc:subject>coronavirus disease 2019</dc:subject>
   <dc:subject>demography</dc:subject>
   <dc:subject>family</dc:subject>
   <dc:subject>female</dc:subject>
   <dc:subject>gender</dc:subject>
   <dc:subject>government</dc:subject>
   <dc:subject>human</dc:subject>
   <dc:subject>Impact of Events Scale</dc:subject>
   <dc:subject>income</dc:subject>
   <dc:subject>Internet</dc:subject>
   <dc:subject>male</dc:subject>
   <dc:subject>medical information</dc:subject>
   <dc:subject>medical student</dc:subject>
   <dc:subject>online system</dc:subject>
   <dc:subject>pandemic</dc:subject>
   <dc:subject>Perceived Stress Scale</dc:subject>
   <dc:subject>personal experience</dc:subject>
   <dc:subject>psychological aspect</dc:subject>
   <dc:subject>questionnaire</dc:subject>
   <dc:subject>sex difference</dc:subject>
   <dc:subject>sleep</dc:subject>
   <dc:subject>social aspect</dc:subject>
   <dc:subject>social media</dc:subject>
   <dc:subject>stress</dc:subject>
   <dc:subject>student attitude</dc:subject>
   <dc:subject>thinking</dc:subject>
   <dc:subject>Turkey (republic)</dc:subject>
   <dc:subject>uncertainty</dc:subject>
   <dc:description>Objective: We aimed to investigate the knowledge of medical students about COVID-19, the effects of the traumatic situation they experienced, the stress they perceived and the factors affecting them. In addition, we aimed to learn the thoughts of the students about the virus due to the uncertainties. Methods: The study was carried out online between April 30, May 5, 2020 with a questionnaire prepared with googleforms. For the study, all students studying at the Faculty of Medicine of Istanbul Yeni Yüzyıl University were called through class representatives and WhatsApp class groups. The questionnaire included sociodemographic information, knowledge and sources of information about the disease, to agreement degree the proposition whether covid 19 is produced as a biological weapon. The Perceived Stress Scale (PSS) and Impact of Events Scale-Revised (IES-R) were applied. Results: The total number of participants was 275 students. No student was infected with COVID-19 at the time of the survey. The presence of chronic disease in the participants was found to be a factor that increased anxiety (p = 0.01). Majority of participants (60.40%) stated that they agree with COVID-19 is a biological weapon. The mean scores of women ‘s total PSS and IES-R were higher than men. It was found that the families of the students had a lower monthly income than the minimum monthly wage is increasing the anxiety about getting COVID-19 infection and perceived stress. One-third of the students reported that sleep and appetite were impaired than the before pandemic. The announcements and website of Ministry of Health and the social media was the main source of information of the participants. Conclusions: It was found that medical students were highly worried about being infected with COVID-19. The scores obtained from the pre-clinic students’ anxiety to become infected with COVID-19, PSS and IES-R total scores were found to be significantly higher than their clinical students. © 2020 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T15:52:55Z</dc:date>
   <dc:date>2020</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>1682024X</dc:identifier>
   <dc:identifier>https://doi.org/10.12669/pjms.36.6.2985</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/10769</dc:identifier>
   <dc:identifier>10.12669/pjms.36.6.2985</dc:identifier>
   <dc:identifier>2-s2.0-85089698436</dc:identifier>
   <dc:identifier>1355</dc:identifier>
   <dc:identifier>1359</dc:identifier>
   <dc:identifier>36</dc:identifier>
   <dc:identifier>6</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>Pakistan Journal of Medical Sciences</dc:relation>
   <dc:relation>All Open Access</dc:relation>
   <dc:relation>Gold Open Access</dc:relation>
   <dc:relation>Green Final Open Access</dc:relation>
   <dc:relation>Green Open Access</dc:relation>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Professional Medical Publications</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/14008</identifier><datestamp>2025-10-05T16:51:13Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Belief propagation decoding of some decomposable linear block codes</dc:title>
   <dc:creator>Altay, Gökmen</dc:creator>
   <dc:creator>Yalçin, Şenay</dc:creator>
   <dc:contributor>Altay, Gökmen, Department of Electrical and Electronic Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Yalçin, Şenay, Faculty of Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:subject>Decoding</dc:subject>
   <dc:subject>Error Analysis</dc:subject>
   <dc:subject>Viterbi Algorithm</dc:subject>
   <dc:subject>White Noise</dc:subject>
   <dc:subject>Belief Propagation Algorithm</dc:subject>
   <dc:subject>Belief Propagation Decoding</dc:subject>
   <dc:subject>Linear Block Codes</dc:subject>
   <dc:subject>White Gaussian Noise Channel</dc:subject>
   <dc:subject>Block Codes</dc:subject>
   <dc:subject>Decoding</dc:subject>
   <dc:subject>Error analysis</dc:subject>
   <dc:subject>Viterbi algorithm</dc:subject>
   <dc:subject>White noise</dc:subject>
   <dc:subject>Belief Propagation Algorithm</dc:subject>
   <dc:subject>Belief propagation decoding</dc:subject>
   <dc:subject>Linear block codes</dc:subject>
   <dc:subject>White Gaussian Noise channel</dc:subject>
   <dc:subject>Block codes</dc:subject>
   <dc:description>We implement the Belief Propagation Algorithm onto some decomposable linear block codes and obtain bit error rate performances for some of the decomposable codes over Additive White Gaussian Noise channel. A comparison between the Belief Propagation Algorithm and the Viterbi Algorithm is also performed with respect to the obtained error performances. ©2005 IEEE. © 2008 Elsevier B.V., All rights reserved.</dc:description>
   <dc:description>IEEE</dc:description>
   <dc:description>AIAA</dc:description>
   <dc:description>isprs</dc:description>
   <dc:description>Turkish Air Force Academy</dc:description>
   <dc:description>Istanbul Technical University</dc:description>
   <dc:date>2025-10-05T16:51:13Z</dc:date>
   <dc:date>2005</dc:date>
   <dc:type>Conference Paper</dc:type>
   <dc:identifier>0780389778</dc:identifier>
   <dc:identifier>9780780389779</dc:identifier>
   <dc:identifier>https://doi.org/10.1109/RAST.2005.1512613</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/14008</dc:identifier>
   <dc:identifier>10.1109/RAST.2005.1512613</dc:identifier>
   <dc:identifier>2-s2.0-33947522483</dc:identifier>
   <dc:identifier>464</dc:identifier>
   <dc:identifier>466</dc:identifier>
   <dc:identifier>2005</dc:identifier>
   <dc:identifier>Istanbul</dc:identifier>
   <dc:identifier>RAST 2005 - 2nd International Conference on Recent Advances in Space Technologies</dc:identifier>
   <dc:language>en</dc:language>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/16863</identifier><datestamp>2025-10-09T11:16:39Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Asymmetric Cost Behavior and Acquirer Returns: Evidence from U.S. Mergers</dc:title>
   <dc:creator>Ugurlu, Mine</dc:creator>
   <dc:creator>Ozturk Danisman, Gamze</dc:creator>
   <dc:creator>Bilyay-Erdogan, Seda</dc:creator>
   <dc:creator>Vural-Yavas, Cigdem</dc:creator>
   <dc:contributor>Bogazici University</dc:contributor>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:contributor>Kadir Has University</dc:contributor>
   <dc:subject>Economics</dc:subject>
   <dc:subject>Cost asymmetry</dc:subject>
   <dc:subject>Merger performance</dc:subject>
   <dc:subject>Acquirer returns</dc:subject>
   <dc:subject>Cost anti-stickiness</dc:subject>
   <dc:subject>Sticky-costs</dc:subject>
   <dc:subject>MARKET</dc:subject>
   <dc:subject>GAINS</dc:subject>
   <dc:subject>MODEL</dc:subject>
   <dc:subject>ACQUISITIONS</dc:subject>
   <dc:subject>FIRMS</dc:subject>
   <dc:description>This paper investigates the asymmetric behavior of the selling, general and administrative (SG&amp;A) costs of acquirers, and reveals its effects on mergers &amp; acquisitions (M&amp;A) performance in a one-year event window. It is based on a sample of 6888 M&amp;As completed in the U.S. during the 2003-2015 period and employs panel data regressions. The results show that 73% of the acquirers display asymmetric cost behavior. A significant negative relation is found between cost stickiness and acquirers' abnormal returns following the merger announcement. Competition in the market for corporate control is positively related with acquirer returns but exacerbates the negative effects of cost-stickiness on abnormal returns of acquirers. The acquirers' risk of default is significantly negatively related to the abnormal returns they generate. This adverse effect of default risk on returns is stronger for acquirers with anti-sticky costs. Acquirer risk offsets the positive effects of competition on returns. Acquirers with sticky costs have lower abnormal returns than those with anti-sticky costs in a one-year window. The present study contributes to the literature by revealing the asymmetric cost behavior of acquirers involved in merger activity during the last decade, and provides evidence for an alternative explanation for the lower abnormal returns of the acquiring firms.</dc:description>
   <dc:date>2025-10-09T11:16:38Z</dc:date>
   <dc:date>2019</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>1303-099X</dc:identifier>
   <dc:identifier>http://dx.doi.org/10.21121/eab.536640</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/16863</dc:identifier>
   <dc:identifier>10.21121/eab.536640</dc:identifier>
   <dc:identifier>323</dc:identifier>
   <dc:identifier>339</dc:identifier>
   <dc:identifier>19</dc:identifier>
   <dc:identifier>3</dc:identifier>
   <dc:identifier>Emerging Sources Citation Index (ESCI)</dc:identifier>
   <dc:identifier>WOS:000476769100002</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>EGE ACADEMIC REVIEW</dc:relation>
   <dc:relation>Bronze</dc:relation>
   <dc:publisher>EGE UNIV, FAC ECONOMICS &amp; ADMIN SCIENCES</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/20866</identifier><datestamp>2025-10-09T17:57:50Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>MHC Class II Deficiency: Clinical, Immunological, and Genetic Insights in a Large Multicenter Cohort</dc:title>
   <dc:creator>Koksal, Zeynep Gulec</dc:creator>
   <dc:creator>Eltan, Sevgi Bilgic</dc:creator>
   <dc:creator>Topyildiz, Ezgi</dc:creator>
   <dc:creator>Sezer, Ahmet</dc:creator>
   <dc:creator>Keles, Sevgi</dc:creator>
   <dc:creator>Celik, Figen Celebi</dc:creator>
   <dc:creator>Kont, Aylin Ozhan</dc:creator>
   <dc:creator>Karaaslan, Betul Gemici</dc:creator>
   <dc:creator>Sefer, Asena Pinar</dc:creator>
   <dc:creator>Karali, Zuhal</dc:creator>
   <dc:creator>Arik, Elif</dc:creator>
   <dc:creator>Yucel, Esra Ozek</dc:creator>
   <dc:creator>Akcal, Omer</dc:creator>
   <dc:creator>Karakurt, Leman Tuba</dc:creator>
   <dc:creator>Altunbas, Melek Yorgun</dc:creator>
   <dc:creator>Yalcin, Koray</dc:creator>
   <dc:creator>Uygun, Vedat</dc:creator>
   <dc:creator>Ozek, Gulcihan</dc:creator>
   <dc:creator>Babayeva, Royala</dc:creator>
   <dc:creator>Aydogmus, Cigdem</dc:creator>
   <dc:creator>Ozcan, Dilek</dc:creator>
   <dc:creator>Cavkaytar, Ozlem</dc:creator>
   <dc:creator>Keskin, Ozlem</dc:creator>
   <dc:creator>Kilic, Sara Sebnem</dc:creator>
   <dc:creator>Kiykim, Ayca</dc:creator>
   <dc:creator>Arikoglu, Tugba</dc:creator>
   <dc:creator>Genel, Ferah</dc:creator>
   <dc:creator>Gulez, Nesrin</dc:creator>
   <dc:creator>Guner, Sukru Nail</dc:creator>
   <dc:creator>Karaca, Neslihan Edeer</dc:creator>
   <dc:creator>Reisli, Ismail</dc:creator>
   <dc:creator>Kutukculer, Necil</dc:creator>
   <dc:creator>Altintas, Derya Ufuk</dc:creator>
   <dc:creator>Ozen, Ahmet</dc:creator>
   <dc:creator>Aydiner, Elif Karakoc</dc:creator>
   <dc:creator>Baris, Safa</dc:creator>
   <dc:contributor>Marmara University</dc:contributor>
   <dc:contributor>Adnan Menderes University</dc:contributor>
   <dc:contributor>Ege University</dc:contributor>
   <dc:contributor>Cukurova University</dc:contributor>
   <dc:contributor>Necmettin Erbakan University</dc:contributor>
   <dc:contributor>University of Health Sciences Turkey</dc:contributor>
   <dc:contributor>Izmir Dr Behcet Uz Children's Disease &amp; Surgery Training &amp; Research Hospital</dc:contributor>
   <dc:contributor>Mersin University</dc:contributor>
   <dc:contributor>Istanbul University - Cerrahpasa</dc:contributor>
   <dc:contributor>Uludag University</dc:contributor>
   <dc:contributor>Gaziantep University</dc:contributor>
   <dc:contributor>Istanbul University</dc:contributor>
   <dc:contributor>Istanbul Medeniyet University</dc:contributor>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:contributor>Acibadem University</dc:contributor>
   <dc:contributor>Istinye University</dc:contributor>
   <dc:contributor>Antalya Training &amp; Research Hospital</dc:contributor>
   <dc:contributor>Medical Park Hospitals Group</dc:contributor>
   <dc:contributor>Ege University</dc:contributor>
   <dc:contributor>University of Health Sciences Turkey</dc:contributor>
   <dc:subject>Allergy</dc:subject>
   <dc:subject>Immunology</dc:subject>
   <dc:subject>Combined immunodeficiency</dc:subject>
   <dc:subject>CD4(+ ) T lymphocyto- penia</dc:subject>
   <dc:subject>MHC-II deficiency</dc:subject>
   <dc:subject>Hematopoietic stem cell trans- plantation</dc:subject>
   <dc:subject>Clinical outcomes</dc:subject>
   <dc:subject>BARE LYMPHOCYTE SYNDROME</dc:subject>
   <dc:subject>COMBINED IMMUNODEFICIENCY</dc:subject>
   <dc:subject>RFXANK GENE</dc:subject>
   <dc:subject>COMPLEX</dc:subject>
   <dc:subject>TRANSPLANTATION</dc:subject>
   <dc:subject>TRANSACTIVATOR</dc:subject>
   <dc:subject>EXPRESSION</dc:subject>
   <dc:subject>SURVIVAL</dc:subject>
   <dc:subject>PROMOTER</dc:subject>
   <dc:subject>CHILDREN</dc:subject>
   <dc:description>Background: Major histocompatibility complex class II deficiency, a combined immunodeficiency, results from loss of HLA class II expression on antigen-presenting cells. Currently, hematopoietic stem cell transplantation stands as the sole curative approach, although factors influencing patient outcomes remain insufficiently explored. Objectives: To elucidate the clinical, immunologic, and genetic profiles associated with MHC-II deficiency and identify prognostic indicators that affect survival rates. Methods: In this multicenter retrospective analysis, we gathered data from 35 patients with a diagnosis of MHC-II deficiency across 12 centers in Turkey. We recorded infection histories, gene mutations, immune cell subsets, and surface MHC-II expression on blood cells. We conducted survival analyses to evaluate the impact of various factors on patient outcomes. Results: Predominant symptoms observed were pneumonia (n = 29, 82.9%), persistent diarrhea (n = 26, 74.3%), and severe infections (n = 26, 74.3%). The RFXANK gene mutation (n = 9) was the most frequent, followed by mutations in RFX5 (n = 8), CIITA (n = 4), and RFXAP (n = 2) genes. Patients with RFXANK mutations presented with later onset and diagnosis compared with those with RFX5 mutations (P =.0008 and .0006, respectively), alongside a more significant diagnostic delay (P = .020). A notable founder effect was observed in five patients with a specific RFX5 mutation (c.616G>C). The overall survival rate for patients was 28.6% (n = 10), showing a significantly higher proportion in individuals with hematopoietic stem cell transplantation (n = 8, 80%). Early death and higher CD8(+) T-cell counts were observed in patients with the RFX5 mutations compared with RFXANK-mutant patients (P = .006 and .009, respectively). Conclusions: This study delineates the genetic and clinical panorama of MHC-II deficiency, emphasizing the prevalence of specific gene mutations such as RFXANK and RFX5. These insights facilitate early diagnosis and prognosis refinement, significantly contributing to the management of MHC-II deficiency. (c) 2024 American Academy of Allergy, Asthma &amp; Immunology</dc:description>
   <dc:date>2025-10-09T17:57:49Z</dc:date>
   <dc:date>2024</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>2213-2198</dc:identifier>
   <dc:identifier>2213-2201</dc:identifier>
   <dc:identifier>http://dx.doi.org/10.1016/j.jaip.2024.06.046</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/20866</dc:identifier>
   <dc:identifier>10.1016/j.jaip.2024.06.046</dc:identifier>
   <dc:identifier>12</dc:identifier>
   <dc:identifier>9</dc:identifier>
   <dc:identifier>38996837</dc:identifier>
   <dc:identifier>Science Citation Index Expanded (SCI-EXPANDED)</dc:identifier>
   <dc:identifier>WOS:001317976300001</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY-IN PRACTICE</dc:relation>
   <dc:relation>We express our gratitude to Professor Dr Duygu Erge and Professor Dr Pinar Uysal for their mentorship provided to Zeynep Gulec Koksal, as well as for their significant contribu-tions to her fellowship education. Z.G. Koksal and S. Baris conceived the study. Z.G. Koksal, S.B. Eltan, E. Topyildiz, A. Sezer, S. Keles, F.C. Celik, A.O. Kont, B.G. Karaaslan, A.P. Sefer, Z. Karali, E. Arik, E.O. Yucel, O. Akcal, L.T. Karakurt, M.Y. Altunbas, K. Yalcin, V. Uygun, G. Ozek, R. Babayeva, C. Aydogmus, D. Ozcan, O. Cavkaytar, O. Keskin, S.S. Kilic, A. Kiykim, T. Arikoglu, F. Genel, N. Gulez, S.N. Guner, N.E. Karaca, I. Reisli, N. Kutukculer, D.U. Altintas, A. Ozen, E.K. Aydiner, and S. Baris provided patient care and collected clinical data. Z.G.K. and S.B. performed the statistical analysis. Z.G. Koksal and S. Baris wrote the paper. All authors reviewed and approved the final version of the manuscript.</dc:relation>
   <dc:publisher>ELSEVIER</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/6872</identifier><datestamp>2026-06-14T00:00:41Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Investigation of physical and electrical properties of a suboxide layer at Si/Si-hexafluoride interface</dc:title>
   <dc:creator>Kalem, Seref</dc:creator>
   <dc:contributor>Kalem, Seref, Department of Electrical and Electronic Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:subject>Energy Dispersive X-ray</dc:subject>
   <dc:subject>Localized Vibrational Modes</dc:subject>
   <dc:subject>Oxides</dc:subject>
   <dc:subject>Photoluminescence</dc:subject>
   <dc:subject>Resistive Switching</dc:subject>
   <dc:subject>Silicon Suboxide</dc:subject>
   <dc:subject>Spectroscopic Ellipsometry</dc:subject>
   <dc:subject>Ammonia</dc:subject>
   <dc:subject>Lithium Ion</dc:subject>
   <dc:subject>Silicon</dc:subject>
   <dc:subject>Ammonia</dc:subject>
   <dc:subject>Lithium Ion</dc:subject>
   <dc:subject>Silicon</dc:subject>
   <dc:subject>Article</dc:subject>
   <dc:subject>Electrode</dc:subject>
   <dc:subject>Ellipsometry</dc:subject>
   <dc:subject>Energy Dispersive X Ray Spectroscopy</dc:subject>
   <dc:subject>Fourier Transform Infrared Spectrometer</dc:subject>
   <dc:subject>Fourier Transform Infrared Spectroscopy</dc:subject>
   <dc:subject>Pharmaceutics</dc:subject>
   <dc:subject>Photoluminescence</dc:subject>
   <dc:subject>ammonia</dc:subject>
   <dc:subject>lithium ion</dc:subject>
   <dc:subject>silicon</dc:subject>
   <dc:subject>article</dc:subject>
   <dc:subject>electrode</dc:subject>
   <dc:subject>ellipsometry</dc:subject>
   <dc:subject>energy dispersive X ray spectroscopy</dc:subject>
   <dc:subject>Fourier transform infrared spectrometer</dc:subject>
   <dc:subject>Fourier transform infrared spectroscopy</dc:subject>
   <dc:subject>pharmaceutics</dc:subject>
   <dc:subject>photoluminescence</dc:subject>
   <dc:description>The silicon suboxide SiOx (x &amp;lt; 2.0) offers promising industrial application possibilities ranging from electrodes in lithium-ion batteries, which are used widely in electrical vehicles and portable devices to sensing applications. Therefore, a low cost, environmental friendly and high performance silicon oxide materials are required for an appropriate operation of any electronic gadget. In this work, we report on the physical and electrical properties of a suboxide layer of up to 1 μm, which was grown on silicon during the formation of a dielectric layer, namely the ammonium silicon hexafluoride. It is a stable oxide exhibiting light emission from 400 to 1700 nm offering scalable and cost-effective large area processing capability. The measurement results reveal interesting properties, which are required to be understood clearly before proceeding with any suitable application. The results have been analyzed using state-of-the-art physical and electrical characterization techniques such as ellipsometry, AFM, SEM, FTIR, photoluminescence lifetime and resistive switching measurements to determine structural, optical and electrical properties. At 300 K the carrier lifetime measurements reveal the lifetime values ranging from about few tens of picosecond up to 4500 picoseconds. Scanning probe analysis indicate a surface roughness of about 30 Å. Resistive memory forming was observed also in these layers at relatively low power thresholds. We provide a comprehensive description of the physical and electrical properties in order to clarify the origin of the observed features. The wavelength dependent real ε&amp;lt;inf&amp;gt;1&amp;lt;/inf&amp;gt;(ω) and the imaginary ε&amp;lt;inf&amp;gt;2&amp;lt;/inf&amp;gt;ω dielectric functions provided useful insights on optical properties. A lookout is given for the possible applications of this special SiOx dielectric oxide layer. © 2024 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T14:40:32Z</dc:date>
   <dc:date>2024</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>20452322</dc:identifier>
   <dc:identifier>https://doi.org/10.1038/s41598-024-63377-1</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/6872</dc:identifier>
   <dc:identifier>10.1038/s41598-024-63377-1</dc:identifier>
   <dc:identifier>2-s2.0-85194996351</dc:identifier>
   <dc:identifier>14</dc:identifier>
   <dc:identifier>1</dc:identifier>
   <dc:identifier>38830980</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>Scientific Reports</dc:relation>
   <dc:relation>All Open Access</dc:relation>
   <dc:relation>Gold Open Access</dc:relation>
   <dc:relation>Green Final Open Access</dc:relation>
   <dc:relation>Green Open Access</dc:relation>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Nature Research</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/8652</identifier><datestamp>2025-10-05T15:15:46Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Cyberbullying: An overview of cyberbullying</dc:title>
   <dc:creator>Sunerli, Sevgi Mestci</dc:creator>
   <dc:creator>Gökkaya, Füsun</dc:creator>
   <dc:creator>Denk, Zahide Aliusta</dc:creator>
   <dc:contributor>Sunerli, Sevgi Mestci, Eskulap Danişmanlik Merkezi, Turkey</dc:contributor>
   <dc:contributor>Gökkaya, Füsun, Uluslararası Kıbrıs Üniversitesi, Nicosia, Cyprus</dc:contributor>
   <dc:contributor>Denk, Zahide Aliusta, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:description>Cyber bullying is the repetitive and intentional use of digital tools to harm another person in the digital environment. Researchers show that females tend to be more cyber victims than males. There are different characteristics of cyber bullies. These are relational aggression, cognitive-affective deficits, and power and control. Cyber bullying causes serious results for both bullies and for the victims. There are some different prevention methods which can be grouped as in three categories: firstly, law, rules, and policies to control the use of media, secondly, education programs about using safe internet for children and youths and teaching them how to avoid these kinds of situations on the internet, and lastly, technological approaches. © 2023 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T15:15:46Z</dc:date>
   <dc:date>2022</dc:date>
   <dc:type>Book Chapter</dc:type>
   <dc:identifier>9781668454268</dc:identifier>
   <dc:identifier>9781668454275</dc:identifier>
   <dc:identifier>https://doi.org/10.4018/978-1-6684-5426-8.ch026</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/8652</dc:identifier>
   <dc:identifier>10.4018/978-1-6684-5426-8.ch026</dc:identifier>
   <dc:identifier>2-s2.0-85162130044</dc:identifier>
   <dc:identifier>433</dc:identifier>
   <dc:identifier>455</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>All Open Access</dc:relation>
   <dc:relation>Hybrid Gold Open Access</dc:relation>
   <dc:publisher>IGI Global</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/16447</identifier><datestamp>2025-10-09T11:10:29Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>The Relevant Relationship Between Umbilical Cord Blood Gas and Acid Base Analysis and Dynamic Thiol (Sh)/Disulphide (S-S) Balance in Neonatal Babies with Different Perinatal Risks and Newborn Diseases</dc:title>
   <dc:creator>Gurel, Selcuk</dc:creator>
   <dc:creator>Erel, Ozcan</dc:creator>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:contributor>Ankara Yildirim Beyazit University</dc:contributor>
   <dc:subject>Pediatrics</dc:subject>
   <dc:subject>Thiol</dc:subject>
   <dc:subject>Oxidative Stress</dc:subject>
   <dc:subject>Neonatal</dc:subject>
   <dc:subject>Cord Blood Gas</dc:subject>
   <dc:subject>Necrotizing Enterocolitis</dc:subject>
   <dc:subject>OXIDATIVE STRESS</dc:subject>
   <dc:subject>NECROTIZING ENTEROCOLITIS</dc:subject>
   <dc:subject>RESUSCITATION</dc:subject>
   <dc:description>Background: Oxidative stress is a pathogenic stress factor in preterm infants. Dynamic thiol/disulphide balance has a critical role in antioxidant defense, detoxification, apoptosis, transcription and cellular signal transport mechanisms. Oxidant/antioxidant balance state is a process beginning before birth and premature infants are especially vulnerable to oxidative stress. Objectives: In this study, we aimed to evaluate dynamic thiol/disulphide homeostasis by umbilical blood gas analysis, compare term and preterm infants, evaluate its relation with Apgar score, perinatal risks with mother and occurrence of NEC (necrotizing enterocolitis), sepsis and ROP (Retinopathy of Prematurity). Methods: A total of 108 (51 female and 57 male) newborn infants were included in this prospective cohort study. Of them, 31 were term and 77 were preterm. Demographic variables, Apgar score, NEC, sepsis and ROP intervention data were collected. Disulfide, native thiol, total thiol, index1 (disulphide/native thiol x 100), index 2 (disulphide total thiol x 100) and index 3 (native thiolitotal thiol x 100) were calculated. Serum total ischemic modified albumin (IMA) and albumin were measured. Bloodgas analysis was performed within 2 minutes following birth. Results: Preterm infants had lower disulphide levels and indexi and 2 ratios, but higher index 3 ratios. Acidotic infants, indexi and 2 and disulphide levels were higher and index 3 was lower than patients with normal pH. Disulphide, index 1 and 2 were lower in patients taken to NICU (Neonatal Intensive Care Unit) compared to ones who were not, whereas index 3 values were higher, twenty one patients (19.4%) with scores &lt; 7 had higher index 3 values at 5th minute. Disulphide levels, index 1 and 2 levels were lower in patients with NEC and index 3 levels were higher. Index 3 ratios were higher in septic infants. Index 3 was higher in patients born from preeclamptic mothers compared to ones without preeclampsia. Albumin levels were higher in patients with maternal placental anomalies. Conclusions: We believe that evaluation of thiol-disulphide homeostasis in preterm and term infants may be demonstrative for oxidant capacity of the newborn, hence the oxidative stress.</dc:description>
   <dc:date>2025-10-09T11:10:29Z</dc:date>
   <dc:date>2020</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>2008-2142</dc:identifier>
   <dc:identifier>2008-2150</dc:identifier>
   <dc:identifier>http://dx.doi.org/10.5812/ijp.102793</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/16447</dc:identifier>
   <dc:identifier>10.5812/ijp.102793</dc:identifier>
   <dc:identifier>30</dc:identifier>
   <dc:identifier>4</dc:identifier>
   <dc:identifier>Science Citation Index Expanded (SCI-EXPANDED)</dc:identifier>
   <dc:identifier>WOS:000562095200006</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>IRANIAN JOURNAL OF PEDIATRICS</dc:relation>
   <dc:relation>gold</dc:relation>
   <dc:publisher>KOWSAR CORP</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/16907</identifier><datestamp>2025-10-09T11:17:31Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Electricity consumption, economic growth, urbanisation and trade nexus: empirical evidence from Iceland</dc:title>
   <dc:creator>Faisal, Faisal</dc:creator>
   <dc:creator>Tursoy, Turgut</dc:creator>
   <dc:creator>Resatoglu, Nil Gunsel</dc:creator>
   <dc:creator>Berk, Niyazi</dc:creator>
   <dc:contributor>Near East University</dc:contributor>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:contributor>Abdul Wali Khan University</dc:contributor>
   <dc:subject>Economics</dc:subject>
   <dc:subject>Electricity consumption</dc:subject>
   <dc:subject>urbanisation</dc:subject>
   <dc:subject>ARDL</dc:subject>
   <dc:subject>trade</dc:subject>
   <dc:subject>MULTIVARIATE GRANGER CAUSALITY</dc:subject>
   <dc:subject>AUTOREGRESSIVE TIME-SERIES</dc:subject>
   <dc:subject>ENERGY-CONSUMPTION</dc:subject>
   <dc:subject>FINANCIAL DEVELOPMENT</dc:subject>
   <dc:subject>CO2 EMISSIONS</dc:subject>
   <dc:subject>PANEL-DATA</dc:subject>
   <dc:subject>DEVELOPING-COUNTRIES</dc:subject>
   <dc:subject>ERROR-CORRECTION</dc:subject>
   <dc:subject>UNIT-ROOT</dc:subject>
   <dc:subject>COINTEGRATION</dc:subject>
   <dc:description>This study empirically investigates the relationship between economic growth, electricity consumption, trade and urbanisation in Iceland, covering the period 1965-2013. The A.R.D.L. bounds testing approach to co-integration is applied to investigate the existence of the long-run relationship. The causality was investigated among the variables using Granger causality under the V.E.C.M. framework. The A.R.D.L. bounds testing approach to co-integration confirms a long-run relationship between electricity consumption and its regressors. The empirical estimation indicates the existence of a positive and statistically significant impact of economic growth, trade and urbanisation on electricity consumption for Iceland, not only in the long-run, but also in the short-run. Furthermore, electricity consumption converges to its long-run position by 45.63% speed of adjustment using the channels of urbanisation, trade and economic growth. The results of Granger causality imply the presence of a feedback causal relationship between urbanisation and electricity consumption in the long-run, thus validating the feedback hypothesis. However, economic growth is causing trade, thus validating the growth-led trade hypothesis in the short-run. Additionally, no causal relationship was found between electricity usage and economic growth, which confirms the neutrality hypothesis. Implementing the energy conservation policy will have no damaging effect on economic growth for Iceland.</dc:description>
   <dc:date>2025-10-09T11:17:30Z</dc:date>
   <dc:date>2018</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>1331-677X</dc:identifier>
   <dc:identifier>1848-9664</dc:identifier>
   <dc:identifier>http://dx.doi.org/10.1080/1331677X.2018.1438907</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/16907</dc:identifier>
   <dc:identifier>10.1080/1331677X.2018.1438907</dc:identifier>
   <dc:identifier>664</dc:identifier>
   <dc:identifier>680</dc:identifier>
   <dc:identifier>31</dc:identifier>
   <dc:identifier>1</dc:identifier>
   <dc:identifier>Social Science Citation Index (SSCI)</dc:identifier>
   <dc:identifier>WOS:000427700300002</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>ECONOMIC RESEARCH-EKONOMSKA ISTRAZIVANJA</dc:relation>
   <dc:relation>hybrid</dc:relation>
   <dc:relation>Green Published</dc:relation>
   <dc:publisher>ROUTLEDGE JOURNALS, TAYLOR &amp; FRANCIS LTD</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/19039</identifier><datestamp>2025-10-09T12:03:20Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Associations of Attachment and Coping Styles With Social Functioning in Patients With Bipolar Disorder I</dc:title>
   <dc:creator>Karas, Hakan</dc:creator>
   <dc:creator>Carpar, Elif</dc:creator>
   <dc:creator>Kucukgoncu, Suat</dc:creator>
   <dc:creator>Kaser, Muzaffer</dc:creator>
   <dc:contributor>Istanbul Gelisim University</dc:contributor>
   <dc:contributor>Maltepe University</dc:contributor>
   <dc:contributor>University of Cambridge</dc:contributor>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:subject>Clinical Neurology</dc:subject>
   <dc:subject>Psychiatry</dc:subject>
   <dc:subject>Bipolar disorder</dc:subject>
   <dc:subject>attachment</dc:subject>
   <dc:subject>coping styles</dc:subject>
   <dc:subject>social functioning</dc:subject>
   <dc:subject>ADULT ATTACHMENT</dc:subject>
   <dc:subject>RESIDUAL SYMPTOMS</dc:subject>
   <dc:subject>SCHIZOPHRENIA</dc:subject>
   <dc:subject>INDIVIDUALS</dc:subject>
   <dc:subject>DEPRESSION</dc:subject>
   <dc:subject>STRATEGIES</dc:subject>
   <dc:subject>PSYCHOSIS</dc:subject>
   <dc:subject>VALIDITY</dc:subject>
   <dc:subject>ANXIETY</dc:subject>
   <dc:subject>TEMPERAMENT</dc:subject>
   <dc:description>The aim of this study was to investigate the relationship of attachment and coping mechanisms with social functioning in patients with bipolar disorder (BD). Sixty-three patients with BD type I and 63 healthy controls were evaluated. Structured Clinical Interview for DSM-IV Axis I Disorders, Hamilton Depression Rating Scale, Young Mania Rating Scale, Experiences in Close Relationships Questionnaire II, Coping Orientation to Problems Experienced (COPE) inventory, and Social Functioning Scale were used. In the BD group, adaptive coping style scores and attachment avoidance scores were significantly lower than the control group, but mean scores of maladaptive coping styles were higher than the control group. Regression analysis showed that positive reinterpretation and growth, active coping, use of emotional social support, planning, religious activities, and mental disengagement subscales of COPE were significantly associated with social functioning. Psychosocial interventions to strengthen adaptive coping mechanisms may help improve the social functioning in patients with BD.</dc:description>
   <dc:date>2025-10-09T12:03:19Z</dc:date>
   <dc:date>2021</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>0022-3018</dc:identifier>
   <dc:identifier>1539-736X</dc:identifier>
   <dc:identifier>http://dx.doi.org/10.1097/NMD.0000000000001352</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/19039</dc:identifier>
   <dc:identifier>10.1097/NMD.0000000000001352</dc:identifier>
   <dc:identifier>578</dc:identifier>
   <dc:identifier>584</dc:identifier>
   <dc:identifier>209</dc:identifier>
   <dc:identifier>8</dc:identifier>
   <dc:identifier>34397758</dc:identifier>
   <dc:identifier>Science Citation Index Expanded (SCI-EXPANDED)</dc:identifier>
   <dc:identifier>Social Science Citation Index (SSCI)</dc:identifier>
   <dc:identifier>WOS:000683701900008</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>JOURNAL OF NERVOUS AND MENTAL DISEASE</dc:relation>
   <dc:relation>National Institute for Health Research Clinical Lectureship</dc:relation>
   <dc:relation>National Institute for Health Research [CL-2016-14-003] Funding Source: researchfish</dc:relation>
   <dc:relation>National Institute for Health Research Clinical Lectureship(National Institutes of Health Research (NIHR))</dc:relation>
   <dc:relation>National Institute for Health Research(National Institutes of Health Research (NIHR))</dc:relation>
   <dc:relation>Dr M. Kaser is supported by an National Institute for Health Research Clinical Lectureship.</dc:relation>
   <dc:publisher>LIPPINCOTT WILLIAMS &amp; WILKINS</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/11549</identifier><datestamp>2026-06-14T00:00:42Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Face-neck lifting and ancillary procedures: A series of 203 cases</dc:title>
   <dc:contributor>null, null, Sanko Üniversitesi, Sehitkamil, Turkey</dc:contributor>
   <dc:contributor>null, null, A-PlastEstetik, Antalya, Turkey</dc:contributor>
   <dc:contributor>null, null, School of Medicine, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>null, null,</dc:contributor>
   <dc:subject>Ancillary Procedures</dc:subject>
   <dc:subject>Face Lift</dc:subject>
   <dc:subject>Neck Lift</dc:subject>
   <dc:subject>Adult</dc:subject>
   <dc:subject>Aged</dc:subject>
   <dc:subject>Article</dc:subject>
   <dc:subject>Buccal Fat Reduction</dc:subject>
   <dc:subject>Chemosis</dc:subject>
   <dc:subject>Comorbidity</dc:subject>
   <dc:subject>Cyst</dc:subject>
   <dc:subject>Ear Lobe Reduction</dc:subject>
   <dc:subject>Esthetic Surgery</dc:subject>
   <dc:subject>Excision</dc:subject>
   <dc:subject>Eyelid Reconstruction</dc:subject>
   <dc:subject>Face Neck Lifting</dc:subject>
   <dc:subject>Fat Pad</dc:subject>
   <dc:subject>Female</dc:subject>
   <dc:subject>Follow Up</dc:subject>
   <dc:subject>Genioplasty</dc:subject>
   <dc:subject>Hematoma</dc:subject>
   <dc:subject>Human</dc:subject>
   <dc:subject>Hypesthesia</dc:subject>
   <dc:subject>Liposuction</dc:subject>
   <dc:subject>Major Clinical Study</dc:subject>
   <dc:subject>Male</dc:subject>
   <dc:subject>Mentum Lifting</dc:subject>
   <dc:subject>Postoperative Complication</dc:subject>
   <dc:subject>Priority Journal</dc:subject>
   <dc:subject>Retrospective Study</dc:subject>
   <dc:subject>Rhytidoplasty</dc:subject>
   <dc:subject>Scar</dc:subject>
   <dc:subject>Skin Exfoliation</dc:subject>
   <dc:subject>Upper Lip Shortening</dc:subject>
   <dc:subject>Upper Orbital Rim Shaving</dc:subject>
   <dc:subject>Endoscopy</dc:subject>
   <dc:subject>Esthetics</dc:subject>
   <dc:subject>Face</dc:subject>
   <dc:subject>Middle Aged</dc:subject>
   <dc:subject>Neck</dc:subject>
   <dc:subject>Procedures</dc:subject>
   <dc:subject>Surgery</dc:subject>
   <dc:subject>Treatment Outcome</dc:subject>
   <dc:subject>Aged</dc:subject>
   <dc:subject>Blepharoplasty</dc:subject>
   <dc:subject>Endoscopy</dc:subject>
   <dc:subject>Esthetics</dc:subject>
   <dc:subject>Face</dc:subject>
   <dc:subject>Female</dc:subject>
   <dc:subject>Genioplasty</dc:subject>
   <dc:subject>Humans</dc:subject>
   <dc:subject>Male</dc:subject>
   <dc:subject>Middle Aged</dc:subject>
   <dc:subject>Neck</dc:subject>
   <dc:subject>Postoperative Complications</dc:subject>
   <dc:subject>Retrospective Studies</dc:subject>
   <dc:subject>Rhytidoplasty</dc:subject>
   <dc:subject>Treatment Outcome</dc:subject>
   <dc:subject>adult</dc:subject>
   <dc:subject>aged</dc:subject>
   <dc:subject>Article</dc:subject>
   <dc:subject>buccal fat reduction</dc:subject>
   <dc:subject>chemosis</dc:subject>
   <dc:subject>comorbidity</dc:subject>
   <dc:subject>cyst</dc:subject>
   <dc:subject>ear lobe reduction</dc:subject>
   <dc:subject>esthetic surgery</dc:subject>
   <dc:subject>excision</dc:subject>
   <dc:subject>eyelid reconstruction</dc:subject>
   <dc:subject>face neck lifting</dc:subject>
   <dc:subject>fat pad</dc:subject>
   <dc:subject>female</dc:subject>
   <dc:subject>follow up</dc:subject>
   <dc:subject>genioplasty</dc:subject>
   <dc:subject>hematoma</dc:subject>
   <dc:subject>human</dc:subject>
   <dc:subject>hypesthesia</dc:subject>
   <dc:subject>liposuction</dc:subject>
   <dc:subject>major clinical study</dc:subject>
   <dc:subject>male</dc:subject>
   <dc:subject>mentum lifting</dc:subject>
   <dc:subject>postoperative complication</dc:subject>
   <dc:subject>priority journal</dc:subject>
   <dc:subject>retrospective study</dc:subject>
   <dc:subject>rhytidoplasty</dc:subject>
   <dc:subject>scar</dc:subject>
   <dc:subject>skin exfoliation</dc:subject>
   <dc:subject>upper lip shortening</dc:subject>
   <dc:subject>upper orbital rim shaving</dc:subject>
   <dc:subject>endoscopy</dc:subject>
   <dc:subject>esthetics</dc:subject>
   <dc:subject>face</dc:subject>
   <dc:subject>middle aged</dc:subject>
   <dc:subject>neck</dc:subject>
   <dc:subject>procedures</dc:subject>
   <dc:subject>surgery</dc:subject>
   <dc:subject>treatment outcome</dc:subject>
   <dc:subject>Aged</dc:subject>
   <dc:subject>Blepharoplasty</dc:subject>
   <dc:subject>Endoscopy</dc:subject>
   <dc:subject>Esthetics</dc:subject>
   <dc:subject>Face</dc:subject>
   <dc:subject>Female</dc:subject>
   <dc:subject>Genioplasty</dc:subject>
   <dc:subject>Humans</dc:subject>
   <dc:subject>Male</dc:subject>
   <dc:subject>Middle Aged</dc:subject>
   <dc:subject>Neck</dc:subject>
   <dc:subject>Postoperative Complications</dc:subject>
   <dc:subject>Retrospective Studies</dc:subject>
   <dc:subject>Rhytidoplasty</dc:subject>
   <dc:subject>Treatment Outcome</dc:subject>
   <dc:description>Various methods and ancillary procedures have been defined in the era of face-lifting surgery. The purpose of this study was to evaluate the esthetic outcomes of our face-neck cases and the importance of adding ancillary procedures based on individual assessment. We conducted a retrospective review of 203 face-neck cases, basically following the endoscopic and open principles of Vasconez. The ancillary procedures added in selected cases included genioplasty, augmentation with autologous facial superficial fascial tissue or fat injections, upper lip shortening, perioral dermabrasion, ear lobe reduction, buccal fat reduction, mentum lifting, and upper orbital rim shaving. Complications, postoperative follow-up, esthetic outcomes, and contribution of the ancillary procedures were recorded. Our esthetic face complication rates were comparable to those of previous studies and included chemosis, hematoma, cyst on the eyelid suture line, skin sloughing, scar abnormalities (hypertrophic scar and widespread scar), pseudoparalysis of the marginal mandibular branch, temporary hypoesthesia of the forehead, irregularity of the glabella after endoscopy, and asymmetry. We did not observe any comorbidity owing to genioplasty and augmentation with autologous tissue except for a case with infection after fat injection. More improvement can be obtained with careful planning of ancillary procedures in face-neck lifting surgery. © 2019 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T16:07:13Z</dc:date>
   <dc:date>2018</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>00257974</dc:identifier>
   <dc:identifier>15365964</dc:identifier>
   <dc:identifier>https://doi.org/10.1097/MD.0000000000012333</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/11549</dc:identifier>
   <dc:identifier>10.1097/MD.0000000000012333</dc:identifier>
   <dc:identifier>97</dc:identifier>
   <dc:identifier>39</dc:identifier>
   <dc:identifier>30278509</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>Medicine (United States)</dc:relation>
   <dc:relation>All Open Access</dc:relation>
   <dc:relation>Gold Open Access</dc:relation>
   <dc:relation>Green Final Open Access</dc:relation>
   <dc:relation>Green Open Access</dc:relation>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Lippincott Williams and Wilkins kathiest.clai@apta.org</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/19124</identifier><datestamp>2025-10-09T12:05:31Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>The compact eighth-order of approximation difference schemes for fourth-order differential equation</dc:title>
   <dc:creator>Ashyralyev, A.</dc:creator>
   <dc:creator>Ibrahim, I. M.</dc:creator>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:contributor>Peoples Friendship University of Russia</dc:contributor>
   <dc:contributor>Institute of Mathematics &amp; Mathematical Modeling</dc:contributor>
   <dc:contributor>Near East University</dc:contributor>
   <dc:subject>Mathematics</dc:subject>
   <dc:subject>Taylor's decomposition on five points (TDFP)</dc:subject>
   <dc:subject>LNBVPs</dc:subject>
   <dc:subject>DSs</dc:subject>
   <dc:subject>approximation</dc:subject>
   <dc:subject>numerical ex- periment</dc:subject>
   <dc:subject>POSITIVE SOLUTIONS</dc:subject>
   <dc:description>Local and nonlo cal boundary value problems (LNBVPs) related to fourth-order differential equations (FODEs) were explored. To tackle these problems numerically, we introduce novel compact four-step difference schemes (DSs) that achieve eighth-order of approximation. These DSs are derived from a novel Taylor series expansion involving five points. The theoretical foundations of these DSs are validated through extensive numerical experiments, demonstrating their effectiveness and precision.</dc:description>
   <dc:date>2025-10-09T12:05:31Z</dc:date>
   <dc:date>2024</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>2518-7929</dc:identifier>
   <dc:identifier>2663-5011</dc:identifier>
   <dc:identifier>http://dx.doi.org/10.31489/2024M4/18-30</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/19124</dc:identifier>
   <dc:identifier>10.31489/2024M4/18-30</dc:identifier>
   <dc:identifier>18</dc:identifier>
   <dc:identifier>30</dc:identifier>
   <dc:identifier>116</dc:identifier>
   <dc:identifier>4</dc:identifier>
   <dc:identifier>Emerging Sources Citation Index (ESCI)</dc:identifier>
   <dc:identifier>WOS:001392525400002</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>BULLETIN OF THE KARAGANDA UNIVERSITY-MATHEMATICS SERIES</dc:relation>
   <dc:relation>gold</dc:relation>
   <dc:publisher>KARAGANDA STATE UNIV</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/6294</identifier><datestamp>2026-06-18T00:00:14Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Effect of copper nanoparticle volume fraction on flow in a 3D lid-driven cavity with phase change materials using molecular dynamics simulation</dc:title>
   <dc:creator>Sawaran Singh, Narinderjit Singh</dc:creator>
   <dc:creator>Hassan, Waqed Hammed</dc:creator>
   <dc:creator>Thiab, Rifqa F.</dc:creator>
   <dc:creator>Atiah Al-Zahy, Younis M.</dc:creator>
   <dc:creator>Salahshour, Soheil</dc:creator>
   <dc:creator>Hekmatifar, Maboud</dc:creator>
   <dc:contributor>Sawaran Singh, Narinderjit Singh, Faculty of Data Science and Information Technology, INTI International University, Nilai, Malaysia</dc:contributor>
   <dc:contributor>Hassan, Waqed Hammed, University of Warith Al-Anbiyaa, Karbala, Iraq, Department of Civil Engineering, University of Kerbala, Karbala, Iraq</dc:contributor>
   <dc:contributor>Thiab, Rifqa F., College of Medical and Health Technologies, Al-Zahraa University for Women, Karbala, Iraq</dc:contributor>
   <dc:contributor>Atiah Al-Zahy, Younis M., Department of Physics, University of Misan, Amarah, Iraq</dc:contributor>
   <dc:contributor>Salahshour, Soheil, Faculty of Engineering and Natural Sciences, Istanbul Okan University, Tuzla, Turkey, Faculty of Engineering and Natural Sciences, Bahçeşehir Üniversitesi, Istanbul, Turkey, Research Center of Applied Mathematics, Khazar University, Baku, Azerbaijan</dc:contributor>
   <dc:contributor>Hekmatifar, Maboud, Fast Computing Center, Tehran, Iran</dc:contributor>
   <dc:subject>Density</dc:subject>
   <dc:subject>Heat Flux</dc:subject>
   <dc:subject>Molecular Dynamics Simulation</dc:subject>
   <dc:subject>Phase Change Material</dc:subject>
   <dc:subject>Thermal Conductivity</dc:subject>
   <dc:description>Background: Phase Change Materials are substances characterized by specific properties, including defined melting points and substantial latent heat of fusion. Effective heat transfer management is vital in modern industries, as it supports essential processes across various sectors. Methods: This study investigates the effect of copper nanoparticle volume fraction on flow behavior and thermal dynamics in a 3D lid-driven cavity. This enclosure was a controlled environment filled with phase change materials, designed to optimize thermal energy management. The system configuration comprised a wavy bottom wall and an adaptable upper wall, allowing for dynamic adjustments during the simulation. The results show that as the volume ratio of copper nanoparticles increased from 1 % to 3 %, the steady heat transfer process in the simulated nanoparticles also increased. Increasing the volume ratio from 1 % to 3 % resulted in a decrease in the maximum density of nanoparticles, which decreased from 0.0152 to 0.0146 atom/Å3. Additionally, this increase led to a rise in thermal conductivity from 1.26 to 1.45 W/m·K and in heat flux from 8.26 to 9.95 W/m2. Significant Findings: The study demonstrates that optimizing the volume fraction of Cu-NPs in PCMs can significantly enhance thermal conductivity and heat flux, offering potential improvements in thermal energy storage systems. © 2025 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T14:29:10Z</dc:date>
   <dc:date>2025</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>26660164</dc:identifier>
   <dc:identifier>https://doi.org/10.1016/j.cscee.2025.101181</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/6294</dc:identifier>
   <dc:identifier>10.1016/j.cscee.2025.101181</dc:identifier>
   <dc:identifier>2-s2.0-86000443322</dc:identifier>
   <dc:identifier>11</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>Case Studies in Chemical and Environmental Engineering</dc:relation>
   <dc:relation>All Open Access</dc:relation>
   <dc:relation>Gold Open Access</dc:relation>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Elsevier Ltd</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/20310</identifier><datestamp>2025-10-09T17:29:05Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Exclusive dimuon production in ultraperipheral Pb plus Pb collisions at √SNN=5.02 TeV with ATLAS</dc:title>
   <dc:subject>Physics, Nuclear</dc:subject>
   <dc:subject>PROTON-PROTON COLLISIONS</dc:subject>
   <dc:subject>PARTICLE-PRODUCTION</dc:subject>
   <dc:subject>ION COLLISIONS</dc:subject>
   <dc:subject>GAMMA-GAMMA</dc:subject>
   <dc:subject>DETECTOR</dc:subject>
   <dc:subject>PHOTOPRODUCTION</dc:subject>
   <dc:subject>PERFORMANCE</dc:subject>
   <dc:subject>E(+)E(-)</dc:subject>
   <dc:subject>PHYSICS</dc:subject>
   <dc:subject>PHOTON</dc:subject>
   <dc:description>Exclusive dimuon production in ultraperipheral collisions (UPC), resulting from photon-photon interactions in the strong electromagnetic fields of colliding high-energy lead nuclei, PbPb(gamma gamma) -> mu(+) mu(-) (Pb-(*Pb-)(()*())), is studied using L-int = 0.48 nb(-1) of root S-NN = 5.02 TeV lead-lead collision data at the LHC with the ATLAS detector. Dimuon pairs are measured in the fiducial region p(T,mu) > 4 GeV, vertical bar eta(mu)vertical bar &lt; 2.4, invariant m(mu mu) > 10 GeV, and p(T,mu mu) &lt;2 GeV. The primary background from single-dissociative processes is extracted from the data using a template fitting technique. Differential cross sections are presented as a function of m(mu mu), absolute pair rapidity (vertical bar y(mu mu)vertical bar), scattering angle in the dimuon rest frame (vertical bar cos v*(mu mu)vertical bar), and the colliding photon energies. The total cross section of the UPC gamma gamma -> mu(+) mu(-) process in the fiducial volume is measured to be sigma(mu mu)(fid) = 34.1 +0.3(stat.)+0.7(syst.) mu b. Generally good agreement is found with calculations from STARlight, which incorporate the leading-order Breit-Wheeler process with no final-state effects, albeit differences between the measurements and theoretical expectations are observed. In particular, the measured cross sections at larger vertical bar y(mu mu)vertical bar are found to be about 10-20% larger in data than in the calculations, suggesting the presence of larger fluxes of photons in the initial state. Modification of the dimuon cross sections in the presence of forward and/or backward neutron production is also studied and is found to be associated with a harder incoming photon spectrum, consistent with expectations.</dc:description>
   <dc:date>2025-10-09T17:29:04Z</dc:date>
   <dc:date>2021</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>2469-9985</dc:identifier>
   <dc:identifier>2469-9993</dc:identifier>
   <dc:identifier>http://dx.doi.org/10.1103/PhysRevC.104.024906</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/20310</dc:identifier>
   <dc:identifier>10.1103/PhysRevC.104.024906</dc:identifier>
   <dc:identifier>104</dc:identifier>
   <dc:identifier>2</dc:identifier>
   <dc:identifier>Science Citation Index Expanded (SCI-EXPANDED)</dc:identifier>
   <dc:identifier>WOS:000686912100002</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>PHYSICAL REVIEW C</dc:relation>
   <dc:relation>Green Submitted</dc:relation>
   <dc:relation>gold</dc:relation>
   <dc:relation>Green Accepted</dc:relation>
   <dc:relation>ANPCyT, Argentina</dc:relation>
   <dc:relation>YerPhI, Armenia</dc:relation>
   <dc:relation>ARC, Australia</dc:relation>
   <dc:relation>FWF, Austria</dc:relation>
   <dc:relation>ANAS, Azerbaijan</dc:relation>
   <dc:relation>SSTC, Belarus</dc:relation>
   <dc:relation>CNPq, Brazil</dc:relation>
   <dc:relation>FAPESP, Brazil</dc:relation>
   <dc:relation>NSERC, Canada</dc:relation>
   <dc:relation>NRC, Canada</dc:relation>
   <dc:relation>CFI, Canada</dc:relation>
   <dc:relation>CERN</dc:relation>
   <dc:relation>ANID, Chile</dc:relation>
   <dc:relation>CAS, China</dc:relation>
   <dc:relation>MOST, China</dc:relation>
   <dc:relation>NSFC, China</dc:relation>
   <dc:relation>COLCIENCIAS, Colombia</dc:relation>
   <dc:relation>MSMT CR, Czech Republic</dc:relation>
   <dc:relation>MPO CR, Czech Republic</dc:relation>
   <dc:relation>VSC CR, Czech Republic</dc:relation>
   <dc:relation>DNRF, Denmark</dc:relation>
   <dc:relation>DNSRC, Denmark</dc:relation>
   <dc:relation>IN2P3-CNRS, France</dc:relation>
   <dc:relation>CEA-DRF/IRFU, France</dc:relation>
   <dc:relation>SRNSFG, Georgia</dc:relation>
   <dc:relation>BMBF, Germany</dc:relation>
   <dc:relation>HGF, Germany</dc:relation>
   <dc:relation>MPG, Germany</dc:relation>
   <dc:relation>GSRT, Greece</dc:relation>
   <dc:relation>RGC, China</dc:relation>
   <dc:relation>Hong Kong SAR, China</dc:relation>
   <dc:relation>ISF, Israel</dc:relation>
   <dc:relation>Benoziyo Center, Israel</dc:relation>
   <dc:relation>INFN, Italy</dc:relation>
   <dc:relation>MEXT, Japan</dc:relation>
   <dc:relation>JSPS, Japan</dc:relation>
   <dc:relation>CNRST, Morocco</dc:relation>
   <dc:relation>NWO, Netherlands</dc:relation>
   <dc:relation>RCN, Norway</dc:relation>
   <dc:relation>MNiSW, Poland</dc:relation>
   <dc:relation>NCN, Poland</dc:relation>
   <dc:relation>FCT, Portugal</dc:relation>
   <dc:relation>MNE/IFA, Romania</dc:relation>
   <dc:relation>JINR, Russian Federation</dc:relation>
   <dc:relation>MES of Russia, Russian Federation</dc:relation>
   <dc:relation>NRC KI, Russian Federation</dc:relation>
   <dc:relation>MESTD, Serbia</dc:relation>
   <dc:relation>MSSR, Slovakia</dc:relation>
   <dc:relation>ARRS, Slovenia</dc:relation>
   <dc:relation>MIZS, Slovenia</dc:relation>
   <dc:relation>DST/NRF, South Africa</dc:relation>
   <dc:relation>MICINN, Spain</dc:relation>
   <dc:relation>SRC, Sweden</dc:relation>
   <dc:relation>Wallenberg Foundation, Sweden</dc:relation>
   <dc:relation>SERI, Switzerland</dc:relation>
   <dc:relation>SNSF, Switzerland</dc:relation>
   <dc:relation>Canton of Geneva, Switzerland</dc:relation>
   <dc:relation>MOST, Taiwan</dc:relation>
   <dc:relation>TAEK, Turkey</dc:relation>
   <dc:relation>STFC, United Kingdom</dc:relation>
   <dc:relation>DOE, United States of America</dc:relation>
   <dc:relation>NSF, United States of America</dc:relation>
   <dc:relation>BCKDF, Canada</dc:relation>
   <dc:relation>CANARIE, Canada</dc:relation>
   <dc:relation>Compute Canada, Canada</dc:relation>
   <dc:relation>CRC, Canada</dc:relation>
   <dc:relation>IVADO, Canada</dc:relation>
   <dc:relation>Beijing Municipal Science &amp; Technology Commission, China</dc:relation>
   <dc:relation>COST, European Union</dc:relation>
   <dc:relation>ERC, European Union</dc:relation>
   <dc:relation>ERDF, European Union</dc:relation>
   <dc:relation>Horizon 2020, European Union</dc:relation>
   <dc:relation>Marie Sklodowska-Curie Actions, European Union</dc:relation>
   <dc:relation>Investissements d'Avenir Labex, France</dc:relation>
   <dc:relation>ANR, France</dc:relation>
   <dc:relation>DFG, Germany</dc:relation>
   <dc:relation>AvH Foundation, Germany</dc:relation>
   <dc:relation>Greek NSRF, Greece</dc:relation>
   <dc:relation>BSF-NSF, Israel</dc:relation>
   <dc:relation>GIF, Israel</dc:relation>
   <dc:relation>La Caixa Banking Foundation, Spain</dc:relation>
   <dc:relation>CERCA Programme Generalitat de Catalunya, Spain</dc:relation>
   <dc:relation>Goran Gustafssons Stiftelse, Sweden</dc:relation>
   <dc:relation>The Royal Society, United Kingdom</dc:relation>
   <dc:relation>Leverhulme Trust, United Kingdom</dc:relation>
   <dc:relation>BMWFW, Austria</dc:relation>
   <dc:relation>Canton of Bern, Switzerland</dc:relation>
   <dc:relation>Investissements d'Avenir Idex, France</dc:relation>
   <dc:relation>Herakleitos program - EU-ESF</dc:relation>
   <dc:relation>Thales program - EU-ESF</dc:relation>
   <dc:relation>Aristeia program - EU-ESF</dc:relation>
   <dc:relation>PROMETEO Programme Generalitat Valenciana, Spain</dc:relation>
   <dc:relation>GenT Programme Generalitat Valenciana, Spain</dc:relation>
   <dc:relation>Science and Technology Facilities Council [ST/S000879/1, ST/M006980/1, ST/L001179/1, ST/N000277/1, ATLAS, ST/N000331/1, ST/N000420/1, ST/S000747/1] Funding Source: researchfish</dc:relation>
   <dc:relation>STFC [ST/N000420/1, ST/N000277/1, ST/R002495/1, ST/S000747/1, ST/N000331/1, ST/S00095X/1, ST/M006980/1, ST/S000933/1, ST/S000879/1, ST/L001179/1, ST/S000712/1] Funding Source: UKRI</dc:relation>
   <dc:relation>ANPCyT, Argentina(ANPCyT)</dc:relation>
   <dc:relation>YerPhI, Armenia</dc:relation>
   <dc:relation>ARC, Australia(Australian Research Council)</dc:relation>
   <dc:relation>FWF, Austria(Austrian Science Fund (FWF))</dc:relation>
   <dc:relation>ANAS, Azerbaijan(Azerbaijan National Academy of Sciences (ANAS))</dc:relation>
   <dc:relation>SSTC, Belarus</dc:relation>
   <dc:relation>CNPq, Brazil(Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ))</dc:relation>
   <dc:relation>FAPESP, Brazil(Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP))</dc:relation>
   <dc:relation>NSERC, Canada(Natural Sciences and Engineering Research Council of Canada (NSERC))</dc:relation>
   <dc:relation>NRC, Canada</dc:relation>
   <dc:relation>CFI, Canada(Canada Foundation for Innovation)</dc:relation>
   <dc:relation>CERN</dc:relation>
   <dc:relation>ANID, Chile</dc:relation>
   <dc:relation>CAS, China(Chinese Academy of Sciences)</dc:relation>
   <dc:relation>MOST, China(Ministry of Science and Technology, China)</dc:relation>
   <dc:relation>NSFC, China(National Natural Science Foundation of China (NSFC))</dc:relation>
   <dc:relation>COLCIENCIAS, Colombia(Departamento Administrativo de Ciencia, Tecnologia e Innovacion Colciencias)</dc:relation>
   <dc:relation>MSMT CR, Czech Republic(Ministry of Education, Youth &amp; Sports - Czech RepublicCzech Republic Government)</dc:relation>
   <dc:relation>MPO CR, Czech Republic(Czech Republic Government)</dc:relation>
   <dc:relation>VSC CR, Czech Republic(Czech Republic Government)</dc:relation>
   <dc:relation>DNRF, Denmark(National Research Foundation of Korea)</dc:relation>
   <dc:relation>DNSRC, Denmark(Danish Natural Science Research Council)</dc:relation>
   <dc:relation>IN2P3-CNRS, France(Centre National de la Recherche Scientifique (CNRS))</dc:relation>
   <dc:relation>CEA-DRF/IRFU, France</dc:relation>
   <dc:relation>SRNSFG, Georgia</dc:relation>
   <dc:relation>BMBF, Germany(Federal Ministry of Education &amp; Research (BMBF))</dc:relation>
   <dc:relation>HGF, Germany</dc:relation>
   <dc:relation>MPG, Germany(Max Planck Society)</dc:relation>
   <dc:relation>GSRT, Greece(Greek Ministry of Development-GSRT)</dc:relation>
   <dc:relation>RGC, China</dc:relation>
   <dc:relation>Hong Kong SAR, China</dc:relation>
   <dc:relation>ISF, Israel(Israel Science Foundation)</dc:relation>
   <dc:relation>Benoziyo Center, Israel</dc:relation>
   <dc:relation>INFN, Italy(Istituto Nazionale di Fisica Nucleare (INFN))</dc:relation>
   <dc:relation>MEXT, Japan(Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT))</dc:relation>
   <dc:relation>JSPS, Japan(Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT)Japan Society for the Promotion of Science)</dc:relation>
   <dc:relation>CNRST, Morocco(Centre National de la Recherche Scientifique &amp; Technologique (CNRST))</dc:relation>
   <dc:relation>NWO, Netherlands(Netherlands Organization for Scientific Research (NWO)Netherlands Government)</dc:relation>
   <dc:relation>RCN, Norway(Research Council of Norway)</dc:relation>
   <dc:relation>MNiSW, Poland(Ministry of Science and Higher Education, Poland)</dc:relation>
   <dc:relation>NCN, Poland</dc:relation>
   <dc:relation>FCT, Portugal(Fundacao para a Ciencia e a Tecnologia (FCT))</dc:relation>
   <dc:relation>MNE/IFA, Romania</dc:relation>
   <dc:relation>JINR, Russian Federation</dc:relation>
   <dc:relation>MES of Russia, Russian Federation(Russian Federation)</dc:relation>
   <dc:relation>NRC KI, Russian Federation</dc:relation>
   <dc:relation>MESTD, Serbia(Ministry of Education, Science &amp; Technological Development, Serbia)</dc:relation>
   <dc:relation>MSSR, Slovakia</dc:relation>
   <dc:relation>ARRS, Slovenia(Slovenian Research Agency - Slovenia)</dc:relation>
   <dc:relation>MIZS, Slovenia</dc:relation>
   <dc:relation>DST/NRF, South Africa</dc:relation>
   <dc:relation>MICINN, Spain(Spanish GovernmentMinistry of Science &amp; Innovation, Spain (MICINN))</dc:relation>
   <dc:relation>SRC, Sweden</dc:relation>
   <dc:relation>Wallenberg Foundation, Sweden</dc:relation>
   <dc:relation>SERI, Switzerland</dc:relation>
   <dc:relation>SNSF, Switzerland(Swiss National Science Foundation (SNSF))</dc:relation>
   <dc:relation>Canton of Geneva, Switzerland</dc:relation>
   <dc:relation>MOST, Taiwan(Ministry of Science and Technology, Taiwan)</dc:relation>
   <dc:relation>TAEK, Turkey(Ministry of Energy &amp; Natural Resources - Turkey)</dc:relation>
   <dc:relation>STFC, United Kingdom(UK Research &amp; Innovation (UKRI)Science &amp; Technology Facilities Council (STFC))</dc:relation>
   <dc:relation>DOE, United States of America(United States Department of Energy (DOE))</dc:relation>
   <dc:relation>NSF, United States of America(National Science Foundation (NSF))</dc:relation>
   <dc:relation>BCKDF, Canada</dc:relation>
   <dc:relation>CANARIE, Canada</dc:relation>
   <dc:relation>Compute Canada, Canada</dc:relation>
   <dc:relation>CRC, Canada</dc:relation>
   <dc:relation>IVADO, Canada</dc:relation>
   <dc:relation>Beijing Municipal Science &amp; Technology Commission, China(Beijing Municipal Science &amp; Technology Commission)</dc:relation>
   <dc:relation>COST, European Union</dc:relation>
   <dc:relation>ERC, European Union(European Union (EU)European Research Council (ERC))</dc:relation>
   <dc:relation>ERDF, European Union(European Union (EU)Marie Curie Actions)</dc:relation>
   <dc:relation>Horizon 2020, European Union</dc:relation>
   <dc:relation>Marie Sklodowska-Curie Actions, European Union(European Union (EU)Marie Curie Actions)</dc:relation>
   <dc:relation>Investissements d'Avenir Labex, France(Agence Nationale de la Recherche (ANR))</dc:relation>
   <dc:relation>ANR, France(Agence Nationale de la Recherche (ANR))</dc:relation>
   <dc:relation>DFG, Germany(German Research Foundation (DFG))</dc:relation>
   <dc:relation>AvH Foundation, Germany(Alexander von Humboldt Foundation)</dc:relation>
   <dc:relation>Greek NSRF, Greece</dc:relation>
   <dc:relation>BSF-NSF, Israel</dc:relation>
   <dc:relation>GIF, Israel(German-Israeli Foundation for Scientific Research and Development)</dc:relation>
   <dc:relation>La Caixa Banking Foundation, Spain</dc:relation>
   <dc:relation>CERCA Programme Generalitat de Catalunya, Spain</dc:relation>
   <dc:relation>Goran Gustafssons Stiftelse, Sweden</dc:relation>
   <dc:relation>The Royal Society, United Kingdom(Royal Society UK)</dc:relation>
   <dc:relation>Leverhulme Trust, United Kingdom(Leverhulme Trust)</dc:relation>
   <dc:relation>BMWFW, Austria</dc:relation>
   <dc:relation>Canton of Bern, Switzerland</dc:relation>
   <dc:relation>Investissements d'Avenir Idex, France(Agence Nationale de la Recherche (ANR))</dc:relation>
   <dc:relation>Herakleitos program - EU-ESF</dc:relation>
   <dc:relation>Thales program - EU-ESF(Thales Group)</dc:relation>
   <dc:relation>Aristeia program - EU-ESF</dc:relation>
   <dc:relation>PROMETEO Programme Generalitat Valenciana, Spain</dc:relation>
   <dc:relation>GenT Programme Generalitat Valenciana, Spain</dc:relation>
   <dc:relation>Science and Technology Facilities Council(UK Research &amp; Innovation (UKRI)Science &amp; Technology Facilities Council (STFC))</dc:relation>
   <dc:relation>STFC(UK Research &amp; Innovation (UKRI)Science &amp; Technology Facilities Council (STFC))</dc:relation>
   <dc:relation>We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina, YerPhI, Armenia, ARC, Australia, BMWFW and FWF, Austria, ANAS, Azerbaijan, SSTC, Belarus, CNPq and FAPESP, Brazil, NSERC, NRC, and CFI, Canada, CERN, ANID, Chile, CAS, MOST, and NSFC, China, COLCIENCIAS, Colombia, MSMT CR, MPO CR, and VSC CR, Czech Republic, DNRF and DNSRC, Denmark, IN2P3-CNRS and CEA-DRF/IRFU, France, SRNSFG, Georgia, BMBF, HGF, and MPG, Germany, GSRT, Greece, RGC and Hong Kong SAR, China, ISF and Benoziyo Center, Israel, INFN, Italy, MEXT and JSPS, Japan, CNRST, Morocco, NWO, Netherlands, RCN, Norway, MNiSW and NCN, Poland, FCT, Portugal, MNE/IFA, Romania, JINR, MES of Russia, and NRC KI, Russian Federation, MESTD, Serbia, MSSR, Slovakia, ARRS and MIZS, Slovenia, DST/NRF, South Africa, MICINN, Spain, SRC and Wallenberg Foundation, Sweden, SERI, SNSF and Cantons of Bern and Geneva, Switzerland, MOST, Taiwan, TAEK, Turkey, STFC, United Kingdom, DOE and NSF, United States of America. In addition, individual groups and members have received support from BCKDF, CANARIE, Compute Canada, CRC, and IVADO, Canada, Beijing Municipal Science &amp; Technology Commission, China, COST, ERC, ERDF, Horizon 2020, and Marie Sklodowska-Curie Actions, European Union, Investissements dAvenir Labex, Investissements dAvenir Idex, and ANR, France, DFG and AvH Foundation, Germany, Herakleitos, Thales, and Aristeia programs cofinanced by EU-ESF and the Greek NSRF, Greece, BSF-NSF and GIF, Israel, La Caixa Banking Foundation, CERCA Programme Generalitat de Catalunya, and PROMETEO and GenT Programmes Generalitat Valenciana, Spain, Goran Gustafssons Stiftelse, Sweden, The Royal Society and Leverhulme Trust, United Kingdom. The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF (Canada), NDGF (Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), PIC (Spain), ASGC (Taiwan), RAL (UK), and BNL (USA), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of computing resources are listed in Ref. [60].</dc:relation>
   <dc:publisher>AMER PHYSICAL SOC</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/10426</identifier><datestamp>2025-10-05T15:47:24Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>A Performance Analysis of Container Cluster Networking Alternatives</dc:title>
   <dc:creator>Atici, Gülsüm</dc:creator>
   <dc:creator>Boluk, Pinar Sarisaray</dc:creator>
   <dc:contributor>Atici, Gülsüm, Ulak Haberleşme A.Ş., Istanbul, Turkey</dc:contributor>
   <dc:contributor>Boluk, Pinar Sarisaray, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:subject>Bulk And Http-like Transfers</dc:subject>
   <dc:subject>Container Cluster Networking</dc:subject>
   <dc:subject>Docker</dc:subject>
   <dc:subject>High Performance</dc:subject>
   <dc:subject>Message Size</dc:subject>
   <dc:subject>Cotton Fabrics</dc:subject>
   <dc:subject>Data Transfer</dc:subject>
   <dc:subject>Engineering Research</dc:subject>
   <dc:subject>Http</dc:subject>
   <dc:subject>Industrial Research</dc:subject>
   <dc:subject>Network Performance</dc:subject>
   <dc:subject>Systems Engineering</dc:subject>
   <dc:subject>Throughput</dc:subject>
   <dc:subject>Cluster Environments</dc:subject>
   <dc:subject>Configurability</dc:subject>
   <dc:subject>Data Transfer Methods</dc:subject>
   <dc:subject>Performance Analysis</dc:subject>
   <dc:subject>Production Environments</dc:subject>
   <dc:subject>Resource Consumption</dc:subject>
   <dc:subject>Transfer Method</dc:subject>
   <dc:subject>Virtual Networking</dc:subject>
   <dc:subject>Containers</dc:subject>
   <dc:subject>Cotton fabrics</dc:subject>
   <dc:subject>Data transfer</dc:subject>
   <dc:subject>Engineering research</dc:subject>
   <dc:subject>HTTP</dc:subject>
   <dc:subject>Industrial research</dc:subject>
   <dc:subject>Network performance</dc:subject>
   <dc:subject>Systems engineering</dc:subject>
   <dc:subject>Throughput</dc:subject>
   <dc:subject>Cluster environments</dc:subject>
   <dc:subject>Configurability</dc:subject>
   <dc:subject>Data transfer methods</dc:subject>
   <dc:subject>Performance analysis</dc:subject>
   <dc:subject>Production environments</dc:subject>
   <dc:subject>Resource consumption</dc:subject>
   <dc:subject>Transfer method</dc:subject>
   <dc:subject>Virtual networking</dc:subject>
   <dc:subject>Containers</dc:subject>
   <dc:description>The use of containers in the informatics industry is increasing rapidly day by day. Although containers have many advantages, such as flexibility, readiness, easy configurability, scalability and low resource consumption, previous researches showed that there are momentous decrements in network performance in containerized cluster environments. Yielded packet sizes and data transfer methods play important roles in the network performance for the networking solutions used in container clusters. As different applications apply different packet sizes and transfer methods, it is of the essence to find and use the best performing networking solution according to application needs. Hence, it is quite important to identify the most convenient container networking solution, especially in production environments. This research analyzed the throughput and latency at varying message sizes on bulk and HTTP-like data transfer methods for container cluster networking solutions, which are Libnetwork, Flannel, Calico, Weave and Open Virtual Networking for Open vSwitch. Furthermore, it compared the performance of cluster networking solutions with a native host. As a result of the experiments, Open Virtual Networking for Open vSwitch and Calico were found to be the most adequate solutions for production environments with the highest throughput and minimum latency values depending on selected message sizes and transfer methods. In addition, a bare-metal host generally outperforms all the container networking solutions except HTTP-like transfer throughput results at a large message size. Hence, this study also demonstrates the offloading impact in container networking solutions. © 2022 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T15:47:24Z</dc:date>
   <dc:date>2020</dc:date>
   <dc:type>Conference Paper</dc:type>
   <dc:identifier>https://doi.org/10.1145/3411016.3411019</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/10426</dc:identifier>
   <dc:identifier>10.1145/3411016.3411019</dc:identifier>
   <dc:identifier>2-s2.0-85092718368</dc:identifier>
   <dc:identifier>10</dc:identifier>
   <dc:identifier>17</dc:identifier>
   <dc:identifier>Kuala Lumpur</dc:identifier>
   <dc:identifier>2nd International Conference on Industrial Control Network and System Engineering Research, ICNSER 2020</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>ACM International Conference Proceeding Series</dc:relation>
   <dc:publisher>Association for Computing Machinery</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/17558</identifier><datestamp>2025-10-09T11:32:30Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Broken Rotor Bar Detection via Wavelet Packet Decomposition of Motor Current</dc:title>
   <dc:creator>Eren, Levent</dc:creator>
   <dc:creator>Cekic, Yalcin</dc:creator>
   <dc:creator>Devaney, Michael J.</dc:creator>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:contributor>University of Missouri System</dc:contributor>
   <dc:contributor>University of Missouri Columbia</dc:contributor>
   <dc:subject>Engineering, Electrical &amp; Electronic</dc:subject>
   <dc:subject>Induction Motors</dc:subject>
   <dc:subject>Wavelet Packet Decomposition</dc:subject>
   <dc:subject>Motor Current Signature Analysis</dc:subject>
   <dc:subject>Broken Rotor Bars</dc:subject>
   <dc:subject>CURRENT SIGNATURE ANALYSIS</dc:subject>
   <dc:subject>BEARING DAMAGE DETECTION</dc:subject>
   <dc:subject>INDUCTION MACHINES</dc:subject>
   <dc:subject>FAULT-DETECTION</dc:subject>
   <dc:subject>NEURAL-NETWORKS</dc:subject>
   <dc:subject>STATOR</dc:subject>
   <dc:subject>DIAGNOSIS</dc:subject>
   <dc:subject>METHODOLOGY</dc:subject>
   <dc:subject>SENSORLESS</dc:subject>
   <dc:subject>TRANSFORM</dc:subject>
   <dc:description>In this paper, discrete wavelet packet decomposition (DWPD) of induction motor current is proposed for detecting broken rotor bar conditions. Good frequency separation is essential for accurate detection of broken rotor bars since it is difficult to separate the rotor bar frequency components from the fundamental supply frequency component at rated speeds. The proposed method provides good frequency separation at a very low computational complexity. The motor current signal is first notch filtered to suppress the power system fundamental frequency. Then, the motor current is decomposed into equally spaced frequency bands by using all-pass implementation of elliptic IIR half-band filter. Next, baseline shifting of wavelet packet coefficients (WPCs) is applied to remove the filtering distortion caused by other harmonics. Finally, energy level of each frequency band is calculated by determining rms values from WPCs of associated frequency bands. The changes in the energy levels of frequency bands in which broken rotor bar related current frequencies lie are monitored to defect motor fault conditions. Copyright (C) 2009 Praise Worthy Prize S.r.l - All rights reserved</dc:description>
   <dc:date>2025-10-09T11:32:29Z</dc:date>
   <dc:date>2009</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>1827-6660</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/17558</dc:identifier>
   <dc:identifier>844</dc:identifier>
   <dc:identifier>850</dc:identifier>
   <dc:identifier>4</dc:identifier>
   <dc:identifier>5</dc:identifier>
   <dc:identifier>Science Citation Index Expanded (SCI-EXPANDED)</dc:identifier>
   <dc:identifier>WOS:000273098700018</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>INTERNATIONAL REVIEW OF ELECTRICAL ENGINEERING-IREE</dc:relation>
   <dc:publisher>PRAISE WORTHY PRIZE SRL</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/104</identifier><datestamp>2025-06-02T08:38:46Z</datestamp><setSpec>com_20.500.14719_11</setSpec><setSpec>col_20.500.14719_1761</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>The effect of viral marketing on Y generation’s purchasing behavior</dc:title>
   <dc:creator>İskeçeli, Eda</dc:creator>
   <dc:contributor>Karaosmanoğlu, Elif</dc:contributor>
   <dc:subject>Viral marketing</dc:subject>
   <dc:subject>Generation Y Marketing</dc:subject>
   <dc:date>2015-05-14T10:00:21Z</dc:date>
   <dc:date>2015-05-14T10:00:21Z</dc:date>
   <dc:date>2013</dc:date>
   <dc:type>Thesis</dc:type>
   <dc:identifier>https://hdl.handle.net/20.500.14719/104</dc:identifier>
   <dc:language>en</dc:language>
   <dc:format>application/pdf</dc:format>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/12074</identifier><datestamp>2025-10-05T16:17:33Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Natural Killer Cell Subsets and Their Functional Activity in Behçet’s Disease</dc:title>
   <dc:creator>Cosan, Fulya</dc:creator>
   <dc:creator>Aktas-Cetin, Esi̇n</dc:creator>
   <dc:creator>Akdeniz, Nilgün Okumus</dc:creator>
   <dc:creator>Emrence, Zeliha</dc:creator>
   <dc:creator>Çefle, Ayşe</dc:creator>
   <dc:creator>Deniz, Günnür</dc:creator>
   <dc:contributor>Cosan, Fulya, Department of Internal Medicine, Bahçeşehir Üniversitesi, Istanbul, Turkey, Department of Internal Medicine, Kocaeli Üniversitesi, İzmit, Turkey</dc:contributor>
   <dc:contributor>Aktas-Cetin, Esi̇n, Department of Immunology, Istanbul Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Akdeniz, Nilgün Okumus, Department of Immunology, Istanbul Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Emrence, Zeliha, Aziz Sancar Institute of Experimental Medicine, Istanbul Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Çefle, Ayşe, Department of Internal Medicine, Kocaeli Üniversitesi, İzmit, Turkey</dc:contributor>
   <dc:contributor>Deniz, Günnür, Department of Immunology, Istanbul Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:subject>Behçet’s Disease</dc:subject>
   <dc:subject>Cytokines</dc:subject>
   <dc:subject>Cytotoxic Activity</dc:subject>
   <dc:subject>Natural Killer Cells</dc:subject>
   <dc:subject>Nk1 Cells</dc:subject>
   <dc:subject>Nk2 Cells</dc:subject>
   <dc:subject>Gamma Interferon</dc:subject>
   <dc:subject>Phytohemagglutinin</dc:subject>
   <dc:subject>Interferon-gamma</dc:subject>
   <dc:subject>Lysosomal-associated Membrane Protein 1</dc:subject>
   <dc:subject>Receptors, Igg</dc:subject>
   <dc:subject>Carboxyfluorescein Diacetate Succinimidyl Ester</dc:subject>
   <dc:subject>Cd16 Antigen</dc:subject>
   <dc:subject>Cd56 Antigen</dc:subject>
   <dc:subject>Gamma Interferon</dc:subject>
   <dc:subject>Interleukin 10</dc:subject>
   <dc:subject>Interleukin 17</dc:subject>
   <dc:subject>Interleukin 5</dc:subject>
   <dc:subject>Lysosome Associated Membrane Protein 1</dc:subject>
   <dc:subject>Phytohemagglutinin</dc:subject>
   <dc:subject>Fc Receptor</dc:subject>
   <dc:subject>Adult</dc:subject>
   <dc:subject>Article</dc:subject>
   <dc:subject>Behcet Disease</dc:subject>
   <dc:subject>Clinical Article</dc:subject>
   <dc:subject>Coculture</dc:subject>
   <dc:subject>Controlled Study</dc:subject>
   <dc:subject>Cytokine Release</dc:subject>
   <dc:subject>Cytotoxicity</dc:subject>
   <dc:subject>Cytotoxicity Test</dc:subject>
   <dc:subject>Degranulation</dc:subject>
   <dc:subject>Female</dc:subject>
   <dc:subject>Flow Cytometry</dc:subject>
   <dc:subject>Human</dc:subject>
   <dc:subject>Human Cell</dc:subject>
   <dc:subject>Male</dc:subject>
   <dc:subject>Mouth Ulcer</dc:subject>
   <dc:subject>Natural Killer 1 Cell</dc:subject>
   <dc:subject>Natural Killer 17 Cell</dc:subject>
   <dc:subject>Natural Killer 2 Cell</dc:subject>
   <dc:subject>Natural Killer Cell</dc:subject>
   <dc:subject>Natural Killer Reg Cell</dc:subject>
   <dc:subject>Pathogenesis</dc:subject>
   <dc:subject>Peripheral Blood Mononuclear Cell</dc:subject>
   <dc:subject>Priority Journal</dc:subject>
   <dc:subject>Protein Expression</dc:subject>
   <dc:subject>Skin Disease</dc:subject>
   <dc:subject>Staining</dc:subject>
   <dc:subject>T Lymphocyte Subpopulation</dc:subject>
   <dc:subject>Cell Culture</dc:subject>
   <dc:subject>Cell Separation</dc:subject>
   <dc:subject>Immunology</dc:subject>
   <dc:subject>Innate Immunity</dc:subject>
   <dc:subject>Lymphocyte Subpopulation</dc:subject>
   <dc:subject>Metabolism</dc:subject>
   <dc:subject>Middle Aged</dc:subject>
   <dc:subject>Adult</dc:subject>
   <dc:subject>Behcet Syndrome</dc:subject>
   <dc:subject>Cell Separation</dc:subject>
   <dc:subject>Cells, Cultured</dc:subject>
   <dc:subject>Cytotoxicity, Immunologic</dc:subject>
   <dc:subject>Female</dc:subject>
   <dc:subject>Flow Cytometry</dc:subject>
   <dc:subject>Humans</dc:subject>
   <dc:subject>Immunity, Innate</dc:subject>
   <dc:subject>Interferon-gamma</dc:subject>
   <dc:subject>Killer Cells, Natural</dc:subject>
   <dc:subject>Lymphocyte Subsets</dc:subject>
   <dc:subject>Lysosomal-associated Membrane Protein 1</dc:subject>
   <dc:subject>Male</dc:subject>
   <dc:subject>Middle Aged</dc:subject>
   <dc:subject>Oral Ulcer</dc:subject>
   <dc:subject>Receptors, Igg</dc:subject>
   <dc:subject>carboxyfluorescein diacetate succinimidyl ester</dc:subject>
   <dc:subject>CD16 antigen</dc:subject>
   <dc:subject>CD56 antigen</dc:subject>
   <dc:subject>gamma interferon</dc:subject>
   <dc:subject>interleukin 10</dc:subject>
   <dc:subject>interleukin 17</dc:subject>
   <dc:subject>interleukin 5</dc:subject>
   <dc:subject>lysosome associated membrane protein 1</dc:subject>
   <dc:subject>phytohemagglutinin</dc:subject>
   <dc:subject>Fc receptor</dc:subject>
   <dc:subject>adult</dc:subject>
   <dc:subject>Article</dc:subject>
   <dc:subject>Behcet disease</dc:subject>
   <dc:subject>clinical article</dc:subject>
   <dc:subject>coculture</dc:subject>
   <dc:subject>controlled study</dc:subject>
   <dc:subject>cytokine release</dc:subject>
   <dc:subject>cytotoxicity</dc:subject>
   <dc:subject>cytotoxicity test</dc:subject>
   <dc:subject>degranulation</dc:subject>
   <dc:subject>female</dc:subject>
   <dc:subject>flow cytometry</dc:subject>
   <dc:subject>human</dc:subject>
   <dc:subject>human cell</dc:subject>
   <dc:subject>male</dc:subject>
   <dc:subject>mouth ulcer</dc:subject>
   <dc:subject>natural killer 1 cell</dc:subject>
   <dc:subject>natural killer 17 cell</dc:subject>
   <dc:subject>natural killer 2 cell</dc:subject>
   <dc:subject>natural killer cell</dc:subject>
   <dc:subject>natural killer reg cell</dc:subject>
   <dc:subject>pathogenesis</dc:subject>
   <dc:subject>peripheral blood mononuclear cell</dc:subject>
   <dc:subject>priority journal</dc:subject>
   <dc:subject>protein expression</dc:subject>
   <dc:subject>skin disease</dc:subject>
   <dc:subject>staining</dc:subject>
   <dc:subject>T lymphocyte subpopulation</dc:subject>
   <dc:subject>cell culture</dc:subject>
   <dc:subject>cell separation</dc:subject>
   <dc:subject>immunology</dc:subject>
   <dc:subject>innate immunity</dc:subject>
   <dc:subject>lymphocyte subpopulation</dc:subject>
   <dc:subject>metabolism</dc:subject>
   <dc:subject>middle aged</dc:subject>
   <dc:subject>Adult</dc:subject>
   <dc:subject>Behcet Syndrome</dc:subject>
   <dc:subject>Cell Separation</dc:subject>
   <dc:subject>Cells, Cultured</dc:subject>
   <dc:subject>Cytotoxicity, Immunologic</dc:subject>
   <dc:subject>Female</dc:subject>
   <dc:subject>Flow Cytometry</dc:subject>
   <dc:subject>Humans</dc:subject>
   <dc:subject>Immunity, Innate</dc:subject>
   <dc:subject>Interferon-gamma</dc:subject>
   <dc:subject>Killer Cells, Natural</dc:subject>
   <dc:subject>Lymphocyte Subsets</dc:subject>
   <dc:subject>Lysosomal-Associated Membrane Protein 1</dc:subject>
   <dc:subject>Male</dc:subject>
   <dc:subject>Middle Aged</dc:subject>
   <dc:subject>Oral Ulcer</dc:subject>
   <dc:subject>Receptors, IgG</dc:subject>
   <dc:description>Background: Behçet’s disease (BD) is a rare, chronic autoinflammatory disorder of unknown origin. Natural killer (NK) cells are one of the major immunoregulatory cell groups of the innate immune system, but their role in BD pathogenesis is not well documented. Objectives: We aimed to investigate the role of NK cell subsets and their cytokine secretion and cytotoxic activity in patients with BD. Patients and methods: The study group consisted of BD patients who had only mucocutaneous involvement, and they were compared with healthy subjects. BD patients were divided into two groups according to their frequencies of oral ulcerations. NK cell cytotoxicity was determined using CD107a expression and a CFSE-based cytotoxicity test. Expression of NK cell receptors and surface markers and the intracellular IL-5, IL-10, IL-17, and IFN-γ levels in CD16+ NK cells were assessed by flow cytometry. Results: Although the cytokine secretion pattern was different, no difference was obtained in cytotoxic activity, expression of activatory receptors, or degranulation of NK cells. Conclusion: Increases in NK1/NK2 ratio and CD16+IFN-γ+ NK1 cells might support the idea of a biased IFN-γ dominant immune response in the mucocutaneous involvement of BD pathogenesis. Although the cytokine secretion pattern was different, no difference was obtained in cytotoxic activity, expression of activatory receptors, or degranulation of NK cells. © 2017 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T16:17:33Z</dc:date>
   <dc:date>2017</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>08820139</dc:identifier>
   <dc:identifier>15324311</dc:identifier>
   <dc:identifier>https://doi.org/10.1080/08820139.2017.1288240</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/12074</dc:identifier>
   <dc:identifier>10.1080/08820139.2017.1288240</dc:identifier>
   <dc:identifier>2-s2.0-85017113861</dc:identifier>
   <dc:identifier>419</dc:identifier>
   <dc:identifier>432</dc:identifier>
   <dc:identifier>46</dc:identifier>
   <dc:identifier>4</dc:identifier>
   <dc:identifier>28388249</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>Immunological Investigations</dc:relation>
   <dc:publisher>Taylor and Francis Ltd healthcare.enquiries@informa.com</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/6734</identifier><datestamp>2026-06-16T00:00:14Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Comparison of Efficiency of Closed Kinetic Chain Exercises Versus Proprioceptive Exercises in Improving Balance and Gait in People With Hemophilia: Protocol for a Randomized Controlled Trial</dc:title>
   <dc:creator>Poyraz İŞleyen, Tuğçe</dc:creator>
   <dc:creator>Tarakçi, Ela</dc:creator>
   <dc:creator>Leblebici, Gökçe</dc:creator>
   <dc:creator>Aydin, Gamze</dc:creator>
   <dc:creator>Zülfikar, Bul̈ent</dc:creator>
   <dc:contributor>Poyraz İŞleyen, Tuğçe, Department of Physiotherapy and Rehabilitation, Istanbul University-Cerrahpasa, Istanbul, Turkey, Department of Physiotherapy and Rehabilitation, Bahçeşehir Üniversitesi, Istanbul, Turkey, Istanbul Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Tarakçi, Ela, Department of Physiotherapy and Rehabilitation, Istanbul University-Cerrahpasa, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Leblebici, Gökçe, Department of Physiotherapy and Rehabilitation, Istanbul Medeniyet University, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Aydin, Gamze, Department of Physiotherapy and Rehabilitation, Istanbul University-Cerrahpasa, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Zülfikar, Bul̈ent, Hereditary Bleeding Disorders Unit, Istanbul Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:subject>Balance</dc:subject>
   <dc:subject>Bleeding Disorder</dc:subject>
   <dc:subject>Blood Clotting</dc:subject>
   <dc:subject>Efficiency</dc:subject>
   <dc:subject>Exercise</dc:subject>
   <dc:subject>Gait</dc:subject>
   <dc:subject>Hemophilia</dc:subject>
   <dc:subject>Hemophilia A</dc:subject>
   <dc:subject>Hemophilia B</dc:subject>
   <dc:subject>Postural Balance</dc:subject>
   <dc:subject>Proprioceptive Exercises</dc:subject>
   <dc:subject>Protein Deficiencies</dc:subject>
   <dc:subject>Protocol</dc:subject>
   <dc:subject>Quality Of Life</dc:subject>
   <dc:subject>Randomized Controlled Trial (rct)</dc:subject>
   <dc:subject>Teenager</dc:subject>
   <dc:subject>Young Adult</dc:subject>
   <dc:description>Background: Inherited bleeding disorders involve prolonged bleeding due to clotting protein deficiencies, with hemophilia A and B being the most common types. The severity of bleeding in people with hemophilia depends on the deficient factor level. Treatment includes coagulation factor concentrates, nonreplacement preparations, gene therapies, and physiotherapy, whereby bleeding is prevented, symptoms are reduced, and the quality of life is improved. Closed kinetic chain exercises improve joint stability and neuromuscular control by stabilizing the proximal base, making them favored in musculoskeletal rehabilitation. Proprioceptive exercise training improves the sensorimotor system’s adaptability and injury prevention through tailored programs involving progressively complex movements and surfaces. Objective: The aim of this study is to investigate the effects of closed kinetic chain exercises and proprioceptive exercise training on improving balance and walking in people with hemophilia. Methods: This study is a 3-arm, parallel-group randomized controlled trial with 63 people with hemophilia aged 13-25 years who meet the inclusion criteria. The primary outcome measures are medio-lateral swing, anterior-posterior swing, walking speed, and Hemophilia Joint Health Score. Secondary outcome measures are kinematic assessment of gait, one-leg stand test, 6-minute walk distance (6MWD) test, proprioception assessment, and the Functional Independence Score in Hemophilia. Participants will be evaluated with the Biodex balance system for postural sway, 10-meters walking test for gait speed, Hemophilia Joint Health Score for joint health, Kinovea 2D motion analysis for kinematic evaluation of gait, one-leg stand test for balance measurement, 6MWD for functional capacity, digital goniometer for proprioception, and Functional Independence Score in Hemophilia for functional independence. Participants will be randomly assigned to a closed kinetic chain exercise group, a proprioceptive exercise group, or a control group. All participants in exercise training groups will receive a 30-minute education session on joint protection techniques and energy conservation prior to the first exercise session. Closed kinetic chain exercises will include progressive lower limb exercises of approximately 45 minutes each session. Proprioceptive exercise training will focus on vibration training, reposition exercises and proprioception exercises will be administered to increase proprioceptive input for the same duration as the other group. The control group will receive no intervention. All participants will undergo 24 exercise sessions (2 days a week for 12 weeks). After the treatment, the initial measurements will be repeated. Results: This study began in September 2023 and is scheduled to be completed in May 2025. A total of 34 participants have completed the study to date. Conclusions: This study will investigate the effects of 2 different exercises on functional parameters in people with hemophilia. The effects of different exercise protocols on parameters such as postural sway, walking speed, and joint health will be evaluated. It is predicted that both exercise methods may have positive effects on balance and gait. © 2025 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T14:37:53Z</dc:date>
   <dc:date>2025</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>19290748</dc:identifier>
   <dc:identifier>https://doi.org/10.2196/66770</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/6734</dc:identifier>
   <dc:identifier>10.2196/66770</dc:identifier>
   <dc:identifier>2-s2.0-105004771525</dc:identifier>
   <dc:identifier>14</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>JMIR Research Protocols</dc:relation>
   <dc:relation>All Open Access</dc:relation>
   <dc:relation>Gold Open Access</dc:relation>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>JMIR Publications Inc.</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/366</identifier><datestamp>2025-06-02T08:38:46Z</datestamp><setSpec>com_20.500.14719_11</setSpec><setSpec>col_20.500.14719_1761</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Exhaustion principle in the intellectual property law in the Turkish and European Union Law</dc:title>
   <dc:creator>Gülle, Aysel</dc:creator>
   <dc:contributor>Özoğuz,Selin</dc:contributor>
   <dc:subject>Intellectual property</dc:subject>
   <dc:subject>European Union countries</dc:subject>
   <dc:subject>Intellectual property_Turkey</dc:subject>
   <dc:date>2015-06-26T13:45:09Z</dc:date>
   <dc:date>2015-06-26T13:45:09Z</dc:date>
   <dc:date>2009</dc:date>
   <dc:type>Thesis</dc:type>
   <dc:identifier>https://hdl.handle.net/20.500.14719/366</dc:identifier>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Bahçeşehir University Institute of Social Sciences</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/11689</identifier><datestamp>2025-10-05T16:09:45Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Consistent neural network empirical physical formula constructions for nonlinear scattering intensities of dye-doped nematic liquid crystals with ultraviolet pump laser-driven Fredericksz threshold shifts</dc:title>
   <dc:creator>Polat, Ömer</dc:creator>
   <dc:creator>Yildiz, Nihat</dc:creator>
   <dc:creator>Akkoyun, Serkan</dc:creator>
   <dc:contributor>Polat, Ömer, Department of Science, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Yildiz, Nihat, Department of Physics, Cumhuriyet Üniversitesi, Sivas, Turkey</dc:contributor>
   <dc:contributor>Akkoyun, Serkan, Department of Physics, Cumhuriyet Üniversitesi, Sivas, Turkey</dc:contributor>
   <dc:subject>Azo And Anthraquinone Dyes</dc:subject>
   <dc:subject>Empirical Physical Formula</dc:subject>
   <dc:subject>Fredericksz Transition</dc:subject>
   <dc:subject>Nematic Liquid Crystal</dc:subject>
   <dc:subject>Neural Network</dc:subject>
   <dc:subject>Scattering Intensity</dc:subject>
   <dc:subject>Ultraviolent Laser</dc:subject>
   <dc:subject>Aromatic Compounds</dc:subject>
   <dc:subject>Feedforward Neural Networks</dc:subject>
   <dc:subject>Ketones</dc:subject>
   <dc:subject>Liquid Crystals</dc:subject>
   <dc:subject>Liquids</dc:subject>
   <dc:subject>Network Layers</dc:subject>
   <dc:subject>Neural Networks</dc:subject>
   <dc:subject>Nonlinear Optics</dc:subject>
   <dc:subject>Optical Properties</dc:subject>
   <dc:subject>Pumping (laser)</dc:subject>
   <dc:subject>Ultraviolet Lasers</dc:subject>
   <dc:subject>Anthraquinone Dye</dc:subject>
   <dc:subject>Dye Doped Nematic Liquid Crystals</dc:subject>
   <dc:subject>Empirical Physical Formula</dc:subject>
   <dc:subject>Fredericksz Transition</dc:subject>
   <dc:subject>Illumination Intensity</dc:subject>
   <dc:subject>Molecular Nonlinear Optics</dc:subject>
   <dc:subject>Nonlinear Physical Phenomenon</dc:subject>
   <dc:subject>Scattering Intensity</dc:subject>
   <dc:subject>Nematic Liquid Crystals</dc:subject>
   <dc:subject>Aromatic compounds</dc:subject>
   <dc:subject>Feedforward neural networks</dc:subject>
   <dc:subject>Ketones</dc:subject>
   <dc:subject>Liquid crystals</dc:subject>
   <dc:subject>Liquids</dc:subject>
   <dc:subject>Network layers</dc:subject>
   <dc:subject>Neural networks</dc:subject>
   <dc:subject>Nonlinear optics</dc:subject>
   <dc:subject>Optical properties</dc:subject>
   <dc:subject>Pumping (laser)</dc:subject>
   <dc:subject>Ultraviolet lasers</dc:subject>
   <dc:subject>Anthraquinone dye</dc:subject>
   <dc:subject>Dye doped nematic liquid crystals</dc:subject>
   <dc:subject>Empirical physical formula</dc:subject>
   <dc:subject>Fredericksz transition</dc:subject>
   <dc:subject>Illumination intensity</dc:subject>
   <dc:subject>Molecular nonlinear optics</dc:subject>
   <dc:subject>Nonlinear physical phenomenon</dc:subject>
   <dc:subject>Scattering intensity</dc:subject>
   <dc:subject>Nematic liquid crystals</dc:subject>
   <dc:description>Intrinsic high nonlinearity in experimentally measured laser scattering intensities poses significant difficulties in analyzing various molecular and optical properties of nematic liquid crystals (NLCs). In this respect, as we theoretically proved in a previous paper, universal nonlinear function approximator layered feedforward neural network (LFNN) can be applied to construct consistent empirical physical formulas (EPFs) for nonlinear physical phenomena. The novelty of this paper is that, by using our previous conference paper data (literature data or simply data for short) for He-Ne probe laser illumination nonlinear scattering intensities of dye-doped NLCs with ultraviolet pump laser-driven Fredericksz threshold (FT) shifts, we constructed definitive LFNN-EPFs for these illumination intensities of nonlinear scattering exhibiting FT shifts. The dyes used in the literature data were methyl red (MR) azo and disperse red (DR) anthraquinone. The LFNN-EPFs fitted the data very well. Moreover, magnificent LFNN test set forecastings over previously unseen data confirmed the consistent LFNN-EPFs inferences of the intensities of scattering. The LFNN-EPFs properly extracted the FT threshold shifts, as well as revealing the intensity dependencies on the kind of dye used. We, therefore, conclude the LFNN consistently infers nonlinear physical laws governing the NLC scattering data. Provided that sufficient scattering intensity data is available, these nonlinear physical laws embedded in LFNN-EPFs may potentially be useful for investigating various NLC molecular structure parameters in molecular nonlinear optics domain. This knowledge may be applicable in developing new optical materials. © 2017 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T16:09:45Z</dc:date>
   <dc:date>2018</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>00304026</dc:identifier>
   <dc:identifier>https://doi.org/10.1016/j.ijleo.2017.12.093</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/11689</dc:identifier>
   <dc:identifier>10.1016/j.ijleo.2017.12.093</dc:identifier>
   <dc:identifier>2-s2.0-85039734828</dc:identifier>
   <dc:identifier>204</dc:identifier>
   <dc:identifier>210</dc:identifier>
   <dc:identifier>158</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>Optik</dc:relation>
   <dc:publisher>Elsevier GmbH journals@elsevier.com</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/8515</identifier><datestamp>2026-06-14T00:00:43Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Predictive Value of the Hematopoietic Stem Cell Transplantation - Comorbidity Index for Overall Survival in Patients with Multiple Myeloma</dc:title>
   <dc:creator>Elibol, Tayfun</dc:creator>
   <dc:creator>Kara, Osman</dc:creator>
   <dc:contributor>Elibol, Tayfun, Department of Hematology, Goztepe Prof. Dr. Suleyman Yalcin City Hospital, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Kara, Osman, Department of Hematology, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:subject>Autologous Stem Cell Transplantation</dc:subject>
   <dc:subject>Hematopoietic Stem Cell Transplantation - Comorbidity Index</dc:subject>
   <dc:subject>Multiple Myeloma</dc:subject>
   <dc:subject>Survival</dc:subject>
   <dc:subject>Fluconazole</dc:subject>
   <dc:subject>Fluorodeoxyglucose F 18</dc:subject>
   <dc:subject>Levofloxacin</dc:subject>
   <dc:subject>Melphalan</dc:subject>
   <dc:subject>Valaciclovir</dc:subject>
   <dc:subject>Fluconazole</dc:subject>
   <dc:subject>Fluorodeoxyglucose F 18</dc:subject>
   <dc:subject>Levofloxacin</dc:subject>
   <dc:subject>Melphalan</dc:subject>
   <dc:subject>Valaciclovir</dc:subject>
   <dc:subject>Adult</dc:subject>
   <dc:subject>Aged</dc:subject>
   <dc:subject>Article</dc:subject>
   <dc:subject>Cardiotoxicity</dc:subject>
   <dc:subject>Comorbidity Assessment</dc:subject>
   <dc:subject>Controlled Study</dc:subject>
   <dc:subject>Estimated Glomerular Filtration Rate</dc:subject>
   <dc:subject>Female</dc:subject>
   <dc:subject>Heart Failure</dc:subject>
   <dc:subject>Heart Left Ventricle Ejection Fraction</dc:subject>
   <dc:subject>Hematopoietic Stem Cell Transplantation</dc:subject>
   <dc:subject>Human</dc:subject>
   <dc:subject>Major Clinical Study</dc:subject>
   <dc:subject>Male</dc:subject>
   <dc:subject>Multiple Myeloma</dc:subject>
   <dc:subject>Overall Survival</dc:subject>
   <dc:subject>Positron Emission Tomography-computed Tomography</dc:subject>
   <dc:subject>Predictive Value</dc:subject>
   <dc:subject>Progression Free Survival</dc:subject>
   <dc:subject>Stem Cell Mobilization</dc:subject>
   <dc:subject>fluconazole</dc:subject>
   <dc:subject>fluorodeoxyglucose f 18</dc:subject>
   <dc:subject>levofloxacin</dc:subject>
   <dc:subject>melphalan</dc:subject>
   <dc:subject>valaciclovir</dc:subject>
   <dc:subject>adult</dc:subject>
   <dc:subject>aged</dc:subject>
   <dc:subject>Article</dc:subject>
   <dc:subject>cardiotoxicity</dc:subject>
   <dc:subject>comorbidity assessment</dc:subject>
   <dc:subject>controlled study</dc:subject>
   <dc:subject>estimated glomerular filtration rate</dc:subject>
   <dc:subject>female</dc:subject>
   <dc:subject>heart failure</dc:subject>
   <dc:subject>heart left ventricle ejection fraction</dc:subject>
   <dc:subject>hematopoietic stem cell transplantation</dc:subject>
   <dc:subject>human</dc:subject>
   <dc:subject>major clinical study</dc:subject>
   <dc:subject>male</dc:subject>
   <dc:subject>multiple myeloma</dc:subject>
   <dc:subject>overall survival</dc:subject>
   <dc:subject>positron emission tomography-computed tomography</dc:subject>
   <dc:subject>predictive value</dc:subject>
   <dc:subject>progression free survival</dc:subject>
   <dc:subject>stem cell mobilization</dc:subject>
   <dc:description>Aim: The scoring system of the hematopoietic cell transplantation comorbidity index (HCT-CI) was used in patients with multiple myeloma (MM) undergoing autologous stem cell transplantation (ASCT), and it could predict progress-free survival and overall survival. Our study aims to determine the ideal cut-off value for the HCT-CI score, which can be effective in showing overall survival in patients with MM undergoing ASCT. Methods: The files of all MM patients with ASCT between January 2015 and December 2020 were retrospectively scanned. The X-tile model was used to determine the cut-off values of the HCT-CI score. Survival probabilities were calculated using the Kaplan-Meier estimator. The Cox proportional hazard regression model was used for univariate and multivariate analyses. Results: Patients were divided into two categories according to HCT-CI. Score ≤6 was defined as low-risk (n=93, 81.6%), and score &amp;gt;6 was defined as high-risk (n=21, 18.4%). The low-risk group had one-year and two-year OS rates of 96.7% and 86.9%, respectively, while the high-risk group had rates of 69.9% and 40.3% (p&amp;lt;0.001). In multivariate regression analysis, only being older than 70 years and having a HCT-CI &amp;gt;6 were found to be significant, with an HR of 3,718 and 5,543, respectively. Conclusion: Hematopoietic stem cell transplantation - comorbidity index score &amp;gt;6 can aid physicians in deciding whether to perform ASCT in MM patients and predict the overall survival of those patients. © 2023 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T15:12:40Z</dc:date>
   <dc:date>2022</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>21472688</dc:identifier>
   <dc:identifier>13020072</dc:identifier>
   <dc:identifier>https://doi.org/10.4274/haseki.galenos.2022.8668</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/8515</dc:identifier>
   <dc:identifier>10.4274/haseki.galenos.2022.8668</dc:identifier>
   <dc:identifier>2-s2.0-85145068531</dc:identifier>
   <dc:identifier>468</dc:identifier>
   <dc:identifier>475</dc:identifier>
   <dc:identifier>60</dc:identifier>
   <dc:identifier>5</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>Haseki Tip Bulteni</dc:relation>
   <dc:relation>All Open Access</dc:relation>
   <dc:relation>Gold Open Access</dc:relation>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Galenos Publishing House</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/650</identifier><datestamp>2026-06-11T07:17:50Z</datestamp><setSpec>com_20.500.14719_392</setSpec><setSpec>col_20.500.14719_2049</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Research brief  09/35 : organıc agrıculture ıs expandıng ın turkey</dc:title>
   <dc:creator>Karakoç, Ulaş</dc:creator>
   <dc:creator>Baykan, Barış Gençer</dc:creator>
   <dc:date>2015-11-25T12:39:21Z</dc:date>
   <dc:date>2015-11-25T12:39:21Z</dc:date>
   <dc:date>2009-04-30</dc:date>
   <dc:type>Technical Report</dc:type>
   <dc:identifier>https://hdl.handle.net/20.500.14719/650</dc:identifier>
   <dc:language>en</dc:language>
   <dc:format>application/msword</dc:format>
   <dc:publisher>Bahçeşehir Üniversitesi Ekonomik ve Toplumsal Araştırmalar Merkezi</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/13136</identifier><datestamp>2025-10-05T16:38:58Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Effect of annealing temperature on structural and magnetic properties of Zn0.94Co0.05Cu0.01O</dc:title>
   <dc:creator>Heiba, Zein K.</dc:creator>
   <dc:creator>Arda, L.</dc:creator>
   <dc:creator>Mohamed, Mohamed Bakr</dc:creator>
   <dc:creator>Mostafa, Nasser Y.</dc:creator>
   <dc:creator>Doǧan, Nurcan</dc:creator>
   <dc:contributor>Heiba, Zein K., Faculty of Science, Taif University, Taif, Saudi Arabia, College of Science, Cairo, Egypt</dc:contributor>
   <dc:contributor>Arda, L., Faculty of Arts and Sciences, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Mohamed, Mohamed Bakr, College of Science, Cairo, Egypt</dc:contributor>
   <dc:contributor>Mostafa, Nasser Y., Faculty of Science, Taif University, Taif, Saudi Arabia</dc:contributor>
   <dc:contributor>Doǧan, Nurcan, Department of Physics, Gebze Teknik Üniversitesi, Gebze, Turkey</dc:contributor>
   <dc:subject>Magnetic Properties</dc:subject>
   <dc:subject>Microstructure</dc:subject>
   <dc:subject>Nanostructures</dc:subject>
   <dc:subject>Annealing Temperatures</dc:subject>
   <dc:subject>Applied Field</dc:subject>
   <dc:subject>Effect Of Annealing</dc:subject>
   <dc:subject>Ferromagnetic Behaviors</dc:subject>
   <dc:subject>Room Temperature</dc:subject>
   <dc:subject>Single Phase</dc:subject>
   <dc:subject>Structural And Magnetic Properties</dc:subject>
   <dc:subject>Zero-field-cooled</dc:subject>
   <dc:subject>Magnetic Properties</dc:subject>
   <dc:subject>Magnetization</dc:subject>
   <dc:subject>Microstructure</dc:subject>
   <dc:subject>Nanostructures</dc:subject>
   <dc:subject>Sol-gel Process</dc:subject>
   <dc:subject>X Ray Diffraction</dc:subject>
   <dc:subject>Zinc</dc:subject>
   <dc:subject>Annealing</dc:subject>
   <dc:subject>Annealing temperatures</dc:subject>
   <dc:subject>Applied field</dc:subject>
   <dc:subject>Effect of annealing</dc:subject>
   <dc:subject>Ferromagnetic behaviors</dc:subject>
   <dc:subject>Room temperature</dc:subject>
   <dc:subject>Single phase</dc:subject>
   <dc:subject>Structural and magnetic properties</dc:subject>
   <dc:subject>Zero-field-cooled</dc:subject>
   <dc:subject>Magnetic properties</dc:subject>
   <dc:subject>Magnetization</dc:subject>
   <dc:subject>Microstructure</dc:subject>
   <dc:subject>Nanostructures</dc:subject>
   <dc:subject>Sol-gel process</dc:subject>
   <dc:subject>X ray diffraction</dc:subject>
   <dc:subject>Zinc</dc:subject>
   <dc:subject>Annealing</dc:subject>
   <dc:description>The doped ZnO system Zn&lt;inf>0.94&lt;/inf>Co&lt;inf>0.05&lt;/inf>Cu&lt;inf>0.01&lt;/inf>O (ZCCO) was prepared as a nano-polycrystalline by a simple sol-gel process, then air annealed at different temperatures. Applying X-ray diffraction (XRD) and the Rietveld method, structural analysis showed that Co and Cu replace Zn substitutionally yielding ZCCO single phase. The refined u-fractional coordinate of Zn increases monotonically by an annealing temperature from 0.3546 at 500°C reaching 0.3722 at 800°C, very near from the ideal value 0.375. The Zn tetrahedrons become more symmetric and the distortion is gradually relieved by annealing up to 800°C. Annealing at 900°C introduces tetrahedron distortion in an opposite way. The zero field cooled (ZFC) and field cooled (FC) magnetization versus the temperature at different applied fields and the magnetization versus the applied field at different temperatures were carried out. The system exhibits a ferromagnetic behavior at room temperature. As the annealing temperature increases from 550 to 900°C, the saturation magnetization at 300 K increases from 0.0507 to 0.1088 emu/g. © 2013 Springer Science+Business Media New York. © 2013 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T16:38:57Z</dc:date>
   <dc:date>2013</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>15571947</dc:identifier>
   <dc:identifier>15571939</dc:identifier>
   <dc:identifier>https://doi.org/10.1007/s10948-013-2197-1</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/13136</dc:identifier>
   <dc:identifier>10.1007/s10948-013-2197-1</dc:identifier>
   <dc:identifier>2-s2.0-84886794297</dc:identifier>
   <dc:identifier>3487</dc:identifier>
   <dc:identifier>3493</dc:identifier>
   <dc:identifier>26</dc:identifier>
   <dc:identifier>12</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>Journal of Superconductivity and Novel Magnetism</dc:relation>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/8111</identifier><datestamp>2025-10-05T15:05:23Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Anterior Segment Eye Abnormality Detection</dc:title>
   <dc:creator>Corbaci, Tolga</dc:creator>
   <dc:contributor>Corbaci, Tolga, School of Medicine, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:subject>Convolutional Neural Networks</dc:subject>
   <dc:subject>Deep Learning</dc:subject>
   <dc:subject>Eye</dc:subject>
   <dc:subject>Transfer Learning</dc:subject>
   <dc:subject>Deep Learning</dc:subject>
   <dc:subject>Diagnosis</dc:subject>
   <dc:subject>Image Segmentation</dc:subject>
   <dc:subject>Learning Systems</dc:subject>
   <dc:subject>Ophthalmology</dc:subject>
   <dc:subject>Transfer Learning</dc:subject>
   <dc:subject>Abnormality Detection</dc:subject>
   <dc:subject>Anterior Segment</dc:subject>
   <dc:subject>Artificial Intelligence Algorithms</dc:subject>
   <dc:subject>Convolutional Neural Network</dc:subject>
   <dc:subject>Eye</dc:subject>
   <dc:subject>Eye Disease</dc:subject>
   <dc:subject>Eye Health</dc:subject>
   <dc:subject>Remote Areas</dc:subject>
   <dc:subject>Convolutional Neural Networks</dc:subject>
   <dc:subject>Deep learning</dc:subject>
   <dc:subject>Diagnosis</dc:subject>
   <dc:subject>Image segmentation</dc:subject>
   <dc:subject>Learning systems</dc:subject>
   <dc:subject>Ophthalmology</dc:subject>
   <dc:subject>Transfer learning</dc:subject>
   <dc:subject>Abnormality detection</dc:subject>
   <dc:subject>Anterior segment</dc:subject>
   <dc:subject>Artificial intelligence algorithms</dc:subject>
   <dc:subject>Convolutional neural network</dc:subject>
   <dc:subject>Eye</dc:subject>
   <dc:subject>Eye disease</dc:subject>
   <dc:subject>Eye health</dc:subject>
   <dc:subject>Remote areas</dc:subject>
   <dc:subject>Convolutional neural networks</dc:subject>
   <dc:description>Vision is the most critical sense helping us to understand the world around us. Ophthalmology is an area of medicine that deals with the eye and vision. In many remote areas, people do not have access to ophthalmologists, and many go blind for preventable reasons. Awareness about eye health and early diagnosis is essential in eye health to prevent blindness. An artificial intelligence (AI) algorithm that can quickly detect eye disease is valuable and necessary. Anterior segment eye images are essential and easily obtained without additional equipment. In this study, I aimed to build an artificial intelligence algorithm to detect eye diseases from mobile photographs. I extracted and combined anterior segment eye photos from various publicly available datasets and labeled 3938 images as Normal (healthy) and 1094 images as Abnormal (unhealthy). I increased the data diversity by augmenting it with random flips and rotations: and then prepared it for AI training. I re-trained the algorithms trained in ImageNet Visual Recognition Challenge with the transfer learning method. I compared custom and pre-trained models. After evaluating the performance of the models with the test set, 98% accuracy and 97% F1 score were obtained with the Inception-ResNetV2 model. © 2023 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T15:05:22Z</dc:date>
   <dc:date>2023</dc:date>
   <dc:type>Conference Paper</dc:type>
   <dc:identifier>https://doi.org/10.1145/3591569.3591590</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/8111</dc:identifier>
   <dc:identifier>10.1145/3591569.3591590</dc:identifier>
   <dc:identifier>2-s2.0-85167794853</dc:identifier>
   <dc:identifier>123</dc:identifier>
   <dc:identifier>131</dc:identifier>
   <dc:identifier>Hybrid, Da Nang</dc:identifier>
   <dc:identifier>8th International Conference on Intelligent Information Technology, ICIIT 2023</dc:identifier>
   <dc:language>en</dc:language>
   <dc:publisher>Association for Computing Machinery</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/18352</identifier><datestamp>2025-10-09T11:46:27Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Synthesis of silicon carbide nanomaterials by microwave heating: Effect of types of carbon nanotubes</dc:title>
   <dc:creator>Tony, V. C. S.</dc:creator>
   <dc:creator>Voon, C. H.</dc:creator>
   <dc:creator>Lim, B. Y.</dc:creator>
   <dc:creator>Al-Douri, Y.</dc:creator>
   <dc:creator>Gopinath, S. C. B.</dc:creator>
   <dc:creator>Arshad, M. K. Md</dc:creator>
   <dc:creator>Ten, S. T.</dc:creator>
   <dc:creator>Parmin, N. A.</dc:creator>
   <dc:creator>Ruslinda, A. R.</dc:creator>
   <dc:contributor>Universiti Malaysia Perlis</dc:contributor>
   <dc:contributor>Universiti Malaysia Perlis</dc:contributor>
   <dc:contributor>Cihan University Sulaimaniya</dc:contributor>
   <dc:contributor>Universiti Malaya</dc:contributor>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:contributor>Universiti Malaysia Perlis</dc:contributor>
   <dc:contributor>Institute Penyelidikan Dan Kemajuan Pertanian</dc:contributor>
   <dc:subject>Chemistry, Inorganic &amp; Nuclear</dc:subject>
   <dc:subject>Chemistry, Physical</dc:subject>
   <dc:subject>Physics, Condensed Matter</dc:subject>
   <dc:subject>SiC nanomaterials</dc:subject>
   <dc:subject>Microwaves synthesis</dc:subject>
   <dc:subject>Gas-solid reactions</dc:subject>
   <dc:subject>Carbon nanotubes</dc:subject>
   <dc:subject>Nanowires</dc:subject>
   <dc:subject>MECHANICAL-PROPERTIES</dc:subject>
   <dc:subject>GROWTH-MECHANISM</dc:subject>
   <dc:subject>SIC NANOFIBERS</dc:subject>
   <dc:subject>NANOWIRES</dc:subject>
   <dc:subject>NANORODS</dc:subject>
   <dc:subject>DIOXIDE</dc:subject>
   <dc:subject>SURFACE</dc:subject>
   <dc:description>One-dimensional silicon carbide nanomaterial (SiCNM) is the leading potential material for high temperature, high power and harsh environment components and devices. This is due to the outstanding properties of the one-dimensional SiCNMs such as high mechanical properties, high hardness, good chemical inertness and excellent electronic properties. In this paper, we reported the successful synthesis of one-dimensional SiCNMs from blend of SiO2 particles with two types of CNTs, namely MWCNTs and SWCNTs by using microwave heating and the effect of types of CNTs on the synthesis of one-dimensional SiCNMs. The result of x-ray diffraction, field emission scanning electron microscopy, high resolution transmission electron microscopy, energy dispersive x-ray spectroscopy, photoluminescence spectroscopy, Fourier transform infrared spectroscopy and thermo-gravimetric analysis revealed that high purity of beta-SiC nanotube was obtained from blend of SiO2 particles and MWCNTs while solid SiC nanowire was synthesized from blend of SiO2 particles and SWCNTs and associated with the presence of residual of unreacted SiO2 particles. This clearly shows that types of one dimensional SiCNMs (hollow or solid) can be controlled by using different types of CNTs and thus this study proposed a high efficiency microwave heating method for the synthesis of one-dimensional SiCNMs with controllable morphology.</dc:description>
   <dc:date>2025-10-09T11:46:26Z</dc:date>
   <dc:date>2019</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>1293-2558</dc:identifier>
   <dc:identifier>1873-3085</dc:identifier>
   <dc:identifier>http://dx.doi.org/10.1016/j.solidstatesciences.2019.106023</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/18352</dc:identifier>
   <dc:identifier>10.1016/j.solidstatesciences.2019.106023</dc:identifier>
   <dc:identifier>98</dc:identifier>
   <dc:identifier>Science Citation Index Expanded (SCI-EXPANDED)</dc:identifier>
   <dc:identifier>WOS:000504047900027</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>SOLID STATE SCIENCES</dc:relation>
   <dc:relation>Department of Higher Education, Ministry of Higher Education, and Malaysia [FRGS 9003-00441]</dc:relation>
   <dc:relation>Department of Higher Education, Ministry of Higher Education, and Malaysia</dc:relation>
   <dc:relation>This work was supported by the Department of Higher Education, Ministry of Higher Education, and Malaysia [FRGS 9003-00441].</dc:relation>
   <dc:publisher>ELSEVIER</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/8641</identifier><datestamp>2025-10-05T15:15:22Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Fibrinolytic therapy for prosthetic valve thrombosis: Is the end of controversial story?</dc:title>
   <dc:creator>Güner, Ahmet</dc:creator>
   <dc:creator>Gündüz, Sabahattin</dc:creator>
   <dc:creator>Özkan, Mehmet Taha</dc:creator>
   <dc:contributor>Güner, Ahmet, Department of Cardiology, University of Health Sciences, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Gündüz, Sabahattin, Department of Cardiology, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Özkan, Mehmet Taha, Department of Health Sciences, Ardahan Üniversitesi, Ardahan, Turkey</dc:contributor>
   <dc:subject>Tissue Plasminogen Activator</dc:subject>
   <dc:subject>Fibrinolytic Agents</dc:subject>
   <dc:subject>Tissue Plasminogen Activator</dc:subject>
   <dc:subject>Fibrinolytic Agent</dc:subject>
   <dc:subject>Clinical Outcome</dc:subject>
   <dc:subject>Clinical Protocol</dc:subject>
   <dc:subject>Dose Response</dc:subject>
   <dc:subject>Drug Efficacy</dc:subject>
   <dc:subject>Drug Infusion</dc:subject>
   <dc:subject>Drug Safety</dc:subject>
   <dc:subject>Fibrinolytic Therapy</dc:subject>
   <dc:subject>Human</dc:subject>
   <dc:subject>Letter</dc:subject>
   <dc:subject>Meta Analysis</dc:subject>
   <dc:subject>Mortality Rate</dc:subject>
   <dc:subject>New York Heart Association Class</dc:subject>
   <dc:subject>Practice Guideline</dc:subject>
   <dc:subject>Prosthetic Valve Thrombosis</dc:subject>
   <dc:subject>Surgical Mortality</dc:subject>
   <dc:subject>Systematic Review</dc:subject>
   <dc:subject>Treatment Contraindication</dc:subject>
   <dc:subject>Adverse Device Effect</dc:subject>
   <dc:subject>Heart Valve Prosthesis</dc:subject>
   <dc:subject>Thrombosis</dc:subject>
   <dc:subject>Valvular Heart Disease</dc:subject>
   <dc:subject>Fibrinolytic Agents</dc:subject>
   <dc:subject>Heart Valve Diseases</dc:subject>
   <dc:subject>Heart Valve Prosthesis</dc:subject>
   <dc:subject>Humans</dc:subject>
   <dc:subject>Thrombolytic Therapy</dc:subject>
   <dc:subject>Thrombosis</dc:subject>
   <dc:subject>tissue plasminogen activator</dc:subject>
   <dc:subject>fibrinolytic agent</dc:subject>
   <dc:subject>clinical outcome</dc:subject>
   <dc:subject>clinical protocol</dc:subject>
   <dc:subject>dose response</dc:subject>
   <dc:subject>drug efficacy</dc:subject>
   <dc:subject>drug infusion</dc:subject>
   <dc:subject>drug safety</dc:subject>
   <dc:subject>fibrinolytic therapy</dc:subject>
   <dc:subject>human</dc:subject>
   <dc:subject>Letter</dc:subject>
   <dc:subject>meta analysis</dc:subject>
   <dc:subject>mortality rate</dc:subject>
   <dc:subject>New York Heart Association class</dc:subject>
   <dc:subject>practice guideline</dc:subject>
   <dc:subject>prosthetic valve thrombosis</dc:subject>
   <dc:subject>surgical mortality</dc:subject>
   <dc:subject>systematic review</dc:subject>
   <dc:subject>treatment contraindication</dc:subject>
   <dc:subject>adverse device effect</dc:subject>
   <dc:subject>heart valve prosthesis</dc:subject>
   <dc:subject>thrombosis</dc:subject>
   <dc:subject>valvular heart disease</dc:subject>
   <dc:subject>Fibrinolytic Agents</dc:subject>
   <dc:subject>Heart Valve Diseases</dc:subject>
   <dc:subject>Heart Valve Prosthesis</dc:subject>
   <dc:subject>Humans</dc:subject>
   <dc:subject>Thrombolytic Therapy</dc:subject>
   <dc:subject>Thrombosis</dc:subject>
   <dc:description>[No abstract available]</dc:description>
   <dc:date>2025-10-05T15:15:21Z</dc:date>
   <dc:date>2022</dc:date>
   <dc:type>Letter</dc:type>
   <dc:identifier>15408191</dc:identifier>
   <dc:identifier>08860440</dc:identifier>
   <dc:identifier>https://doi.org/10.1111/jocs.16724</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/8641</dc:identifier>
   <dc:identifier>10.1111/jocs.16724</dc:identifier>
   <dc:identifier>2-s2.0-85132590799</dc:identifier>
   <dc:identifier>2931</dc:identifier>
   <dc:identifier>2932</dc:identifier>
   <dc:identifier>37</dc:identifier>
   <dc:identifier>9</dc:identifier>
   <dc:identifier>35752939</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>Journal of Cardiac Surgery</dc:relation>
   <dc:publisher>John Wiley and Sons Inc</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/1354</identifier><datestamp>2025-06-02T11:22:23Z</datestamp><setSpec>com_20.500.14719_11</setSpec><setSpec>col_20.500.14719_1762</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Bütünleşik afet etki ve ihtiyaç tespit sistemi</dc:title>
   <dc:creator>Esmer, Mehmet</dc:creator>
   <dc:contributor>Kadıoğlu, Mikdat</dc:contributor>
   <dc:subject>System</dc:subject>
   <dc:subject>Effect determination</dc:subject>
   <dc:subject>Impact determination</dc:subject>
   <dc:subject>Integrated disaster management</dc:subject>
   <dc:subject>Sistem</dc:subject>
   <dc:subject>Etki tespiti</dc:subject>
   <dc:subject>İhtiyaç tespiti</dc:subject>
   <dc:subject>Bütünleşik afet yönetimi</dc:subject>
   <dc:description>Bu tez çalışmasının amacı, günümüzde meydana gelen değişimler doğrultusunda bilgisayar teknolojilerinin ve coğrafi bilgi sistemlerinin ulaştığı son noktanın da yardımıyla afet yönetimi çalışmalarında afetin etkisi ve ihtiyaçların tespitini yapabilecek ve karar vericilere afet öncesi, sırası ve sonrasında çalışmalara yön verecek bir sistemin tasarlanması üzerine bir metodoloji ortaya koymaktır.&#xd;
Afet olmadan önce muhtemel risklere göre oluşturulan senaryolar ile afet sonrası afet ile ilgili bilgiler kullanılarak hesaplanan hasar dağılımı, araziden gelecek veriler ile kıyaslanarak, güncel hasar yayılımı ve şiddetine göre, en uygun afet planı en kısa sürede uygulanabilecektir. Ölü, yaralı ve acil barınma ihtiyacı olanların belirlenmesi, kurtarma ekiplerinin ve yardım malzemelerin açık olan en uygun güzergâh kullanılarak afet bölgesine ulaştırıp, mümkün olan en fazla sayıda insanı enkaz içerisinden kurtarılması ve tahliyesi sağlanacaktır.&#xd;
Afet risk haritaları amacı doğrultusunda ölçeklendirilerek karar vericilerin afetin boyutunu daha kolay anlayabilmesi sağlanacaktır. Böylece kısa sürede etkin müdahale sağlanarak afet ile paralel gelişebilecek ikincil afetlerin etkisi de azaltılacaktır. Afet sonrası ihbar sistemi telefon, faks, vs. ile gelen, adrese veya bölgeye dayalı veriler, diğer afet verileri ile (deprem, sel, yangın, heyelan vb.) değerlendirilerek afetin ilerlemesi ve yapılan iyileştirmeler süreç yönetimi mantığı ile izlenip yönetilebilecektir. Değişen verilere bağlı olarak afet sonucu oluşan risk değişimleri görülebilecektir.&#xd;
Sonuç olarak Bütünleşik Afet Etki ve İhtiyaç Tespit Sistemi, risk analizleri sonucu hesaplanan can kaybı, yaralı sayısı, üstyapı ve altyapı hasarı ve buna paralel olarak lojistik ihtiyaçların daha gerçekçi belirlenmesi, imkânların daha doğru kullanılmasını olumlu yönde etkilemesi hedeflenmektedir.</dc:description>
   <dc:description>Aim of this thesis study is to find out a methodology to design a system which will determine the effect and impact of the disaster, and will guide the decision makers before – during – after disaster with the help of the latest updates in the computer and GIS technology.&#xd;
Scenarios generated according to the expected risks before the disaster, damage distribution calculated with the actual information is compared with data from the site and the most suitable disaster plan can be applied with the updated damage distribution and effect. With this system, determining the number of dead, injured people and the ones who need immediate housing is going to be easier and transportation of rescue teams and relief supplies by using the most convenient route; thus saving as much as possible people from debris will be provided.&#xd;
Disaster risk maps that are scaled according to its purpose, will help the decision makers to understand the magnitude of the disaster. Thus, the effect of the secondary disasters will be lowered that may come up in parallel to the existing disaster. Post disaster data from the site (telephone, fax, info from address) will be assessed with existing other disaster data (earthquake, flood, fire etc.); the progress of disaster and improvements will be managed with process management logic. With regards to the fluctuant information, the changes in risks will be monitored after disaster.&#xd;
As a result, Integrated Disaster Impact and Necessity Detection System aims to have a positive effect while determining the number of lives lost, injuries, superstructure and infrastructure damage and logistic needs that may come up in parallel to all of these information, and using the opportunities effectively.</dc:description>
   <dc:date>2024-07-16T13:15:06Z</dc:date>
   <dc:date>2024-07-16T13:15:06Z</dc:date>
   <dc:date>2014-08</dc:date>
   <dc:type>Thesis</dc:type>
   <dc:identifier>https://hdl.handle.net/20.500.14719/1354</dc:identifier>
   <dc:language>other</dc:language>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Bahçeşehir Üniversitesi Fen Bilimleri Enstitüsü</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/13011</identifier><datestamp>2025-11-25T11:07:46Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Analysis of patients with 1988 FIGO stage-II endometrial cancer, 1988 FIGO evrelemeseni göre evre II endometrium kanseri olan hastaların analizi</dc:title>
   <dc:creator>Üreyen, Işin</dc:creator>
   <dc:creator>Turan, Taner</dc:creator>
   <dc:creator>Kimyon, Günsu Cömert</dc:creator>
   <dc:creator>Karalök, Alper</dc:creator>
   <dc:creator>Taşçı, Tolga</dc:creator>
   <dc:creator>Boran, Nurettin</dc:creator>
   <dc:creator>Tulunay, Gökhan</dc:creator>
   <dc:creator>Köse, Mehmet Faruk</dc:creator>
   <dc:contributor>Üreyen, Işin, Depertment of Gynecologic Oncology, Etlik Zubeyde Hanim Women's Health Training and Research Hospital, Ankara, Turkey</dc:contributor>
   <dc:contributor>Turan, Taner, Depertment of Gynecologic Oncology, Etlik Zubeyde Hanim Women's Health Training and Research Hospital, Ankara, Turkey</dc:contributor>
   <dc:contributor>Kimyon, Günsu Cömert, Depertment of Gynecologic Oncology, Etlik Zubeyde Hanim Women's Health Training and Research Hospital, Ankara, Turkey</dc:contributor>
   <dc:contributor>Karalök, Alper, Depertment of Gynecologic Oncology, Etlik Zubeyde Hanim Women's Health Training and Research Hospital, Ankara, Turkey</dc:contributor>
   <dc:contributor>Taşçi, Tolga, Depertment of Gynecologic Oncology, Etlik Zubeyde Hanim Women's Health Training and Research Hospital, Ankara, Turkey</dc:contributor>
   <dc:contributor>Boran, Nurettin, Depertment of Gynecologic Oncology, Etlik Zubeyde Hanim Women's Health Training and Research Hospital, Ankara, Turkey</dc:contributor>
   <dc:contributor>Tulunay, Gökhan, Depertment of Gynecologic Oncology, Etlik Zubeyde Hanim Women's Health Training and Research Hospital, Ankara, Turkey</dc:contributor>
   <dc:contributor>Köse, Mehmet Faruk, Department of Obstetrics and Gynecology, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:subject>Cervical Invasion</dc:subject>
   <dc:subject>Endometrial Cancer</dc:subject>
   <dc:subject>Lymphadenectomy</dc:subject>
   <dc:subject>Survival</dc:subject>
   <dc:subject>Platinum</dc:subject>
   <dc:subject>Platinum</dc:subject>
   <dc:subject>Adult</dc:subject>
   <dc:subject>Aged</dc:subject>
   <dc:subject>Article</dc:subject>
   <dc:subject>Bone Marrow Toxicity</dc:subject>
   <dc:subject>Cancer Adjuvant Therapy</dc:subject>
   <dc:subject>Cancer Recurrence</dc:subject>
   <dc:subject>Cancer Staging</dc:subject>
   <dc:subject>Clear Cell Carcinoma</dc:subject>
   <dc:subject>Curettage</dc:subject>
   <dc:subject>Endometrium Cancer</dc:subject>
   <dc:subject>Follow Up</dc:subject>
   <dc:subject>Human</dc:subject>
   <dc:subject>Human Tissue</dc:subject>
   <dc:subject>Lymph Node Dissection</dc:subject>
   <dc:subject>Major Clinical Study</dc:subject>
   <dc:subject>Myometrium</dc:subject>
   <dc:subject>Ovary Tumor</dc:subject>
   <dc:subject>Paraaortic Lymph Node</dc:subject>
   <dc:subject>Paraaortic Lymphadenectomy</dc:subject>
   <dc:subject>Pathology</dc:subject>
   <dc:subject>Pelvis Lymphadenectomy</dc:subject>
   <dc:subject>Radical Hysterectomy</dc:subject>
   <dc:subject>Stage Ii Endometrial Cancer</dc:subject>
   <dc:subject>Systemic Therapy</dc:subject>
   <dc:subject>Uterine Cervix Biopsy</dc:subject>
   <dc:subject>platinum</dc:subject>
   <dc:subject>adult</dc:subject>
   <dc:subject>aged</dc:subject>
   <dc:subject>Article</dc:subject>
   <dc:subject>bone marrow toxicity</dc:subject>
   <dc:subject>cancer adjuvant therapy</dc:subject>
   <dc:subject>cancer recurrence</dc:subject>
   <dc:subject>cancer staging</dc:subject>
   <dc:subject>clear cell carcinoma</dc:subject>
   <dc:subject>curettage</dc:subject>
   <dc:subject>endometrium cancer</dc:subject>
   <dc:subject>follow up</dc:subject>
   <dc:subject>human</dc:subject>
   <dc:subject>human tissue</dc:subject>
   <dc:subject>lymph node dissection</dc:subject>
   <dc:subject>major clinical study</dc:subject>
   <dc:subject>myometrium</dc:subject>
   <dc:subject>ovary tumor</dc:subject>
   <dc:subject>paraaortic lymph node</dc:subject>
   <dc:subject>paraaortic lymphadenectomy</dc:subject>
   <dc:subject>pathology</dc:subject>
   <dc:subject>pelvis lymphadenectomy</dc:subject>
   <dc:subject>radical hysterectomy</dc:subject>
   <dc:subject>stage II endometrial cancer</dc:subject>
   <dc:subject>systemic therapy</dc:subject>
   <dc:subject>uterine cervix biopsy</dc:subject>
   <dc:description>Management of stage II endometrial cancer still has many controversies. We evaluated patients with stage II (FIGO 1988) endometrial cancer operated in our clinic in terms of treatment modalities, surgico-pathological factors, recurrence rates and patterns. Fifty-three patients with 1988 FIGO stage II endometrial cancer who underwent staging surgery between January 1993 and December 2012 were included in this study. The mean age of the patients was 57 years. Cervical invasion couldn’t be detected in the preoperative pelvic examination in 47 patients (88.7%). Thirty-eight patients received simple hysterectomy (SH) and 15 patients had radical hysterectomy (RH). All patients received pelvic and paraaortic lymphadenectomy. Forty-two patients took adjuvant radiotherapy. The median follow-up time of the patient population was 39 months (range 1-139 months). Recurrence was observed in four patients. There was no statistically significant difference between the RH and SH groups in terms of recurrence (p= 0.53). Advanced age, deep myometrial invasion and the lower number of harvested lymph nodes were associated with recurrence. Systemic adjuvant therapy may be involved in the first-line treatment plan in order to prevent distant failures, since they continue to be responsible for the most of the recurrences and mortality despite radical surgeries and different protocols of adjuvant radiotherapy. © 2015 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T16:36:34Z</dc:date>
   <dc:date>2014</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>1306133X</dc:identifier>
   <dc:identifier>https://doi.org/10.4999/uhod.14424</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/13011</dc:identifier>
   <dc:identifier>10.4999/uhod.14424</dc:identifier>
   <dc:identifier>2-s2.0-84919961839</dc:identifier>
   <dc:identifier>239</dc:identifier>
   <dc:identifier>246</dc:identifier>
   <dc:identifier>24</dc:identifier>
   <dc:identifier>4</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>UHOD - Uluslararasi Hematoloji-Onkoloji Dergisi</dc:relation>
   <dc:relation>All Open Access</dc:relation>
   <dc:relation>Bronze Open Access</dc:relation>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>UHOD - Uluslararasi Hematoloji Onkoloji Dergisi uhod@uhod.org 4 Cadde, 56 Sokak, No: 49-E Hilal Cankaya, Ankara 06550</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/10339</identifier><datestamp>2026-06-14T00:00:43Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>An investigation of affective theory of mind ability and its relation to neuropsychological functions in Alzheimer&amp;apos;s disease</dc:title>
   <dc:creator>Yildirim, Elif Dede</dc:creator>
   <dc:creator>Büyükişcan, Ezgi Soncu</dc:creator>
   <dc:creator>Demirtas-Tatlidede, Asli</dc:creator>
   <dc:creator>Bilgiç, Başar Gar</dc:creator>
   <dc:creator>Gürvit, İbrahim Hakan</dc:creator>
   <dc:contributor>Yildirim, Elif Dede, Department of Psychology, Işik Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Büyükişcan, Ezgi Soncu, Department of Psychology, Yeditepe University, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Demirtas-Tatlidede, Asli, Department of Neurology, İstanbul Tıp Fakültesi, Istanbul, Turkey, Department of Neurology, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Bilgiç, Başar Gar, Department of Neurology, İstanbul Tıp Fakültesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Gürvit, İbrahim Hakan, Department of Neurology, İstanbul Tıp Fakültesi, Istanbul, Turkey</dc:contributor>
   <dc:subject>Affective Theory Of Mind</dc:subject>
   <dc:subject>Alzheimer&amp;apos;s Disease</dc:subject>
   <dc:subject>Faux Pas Recognition</dc:subject>
   <dc:subject>Reading Mind</dc:subject>
   <dc:subject>Aged</dc:subject>
   <dc:subject>Alzheimer Disease</dc:subject>
   <dc:subject>Cognition</dc:subject>
   <dc:subject>Emotion</dc:subject>
   <dc:subject>Episodic Memory</dc:subject>
   <dc:subject>Executive Function</dc:subject>
   <dc:subject>Facial Recognition</dc:subject>
   <dc:subject>Female</dc:subject>
   <dc:subject>Human</dc:subject>
   <dc:subject>Male</dc:subject>
   <dc:subject>Middle Aged</dc:subject>
   <dc:subject>Neuropsychological Test</dc:subject>
   <dc:subject>Psychology</dc:subject>
   <dc:subject>Theory Of Mind</dc:subject>
   <dc:subject>Very Elderly</dc:subject>
   <dc:subject>Aged</dc:subject>
   <dc:subject>Aged, 80 And Over</dc:subject>
   <dc:subject>Alzheimer Disease</dc:subject>
   <dc:subject>Cognition</dc:subject>
   <dc:subject>Emotions</dc:subject>
   <dc:subject>Executive Function</dc:subject>
   <dc:subject>Facial Recognition</dc:subject>
   <dc:subject>Female</dc:subject>
   <dc:subject>Humans</dc:subject>
   <dc:subject>Male</dc:subject>
   <dc:subject>Memory, Episodic</dc:subject>
   <dc:subject>Middle Aged</dc:subject>
   <dc:subject>Neuropsychological Tests</dc:subject>
   <dc:subject>Theory Of Mind</dc:subject>
   <dc:subject>aged</dc:subject>
   <dc:subject>Alzheimer disease</dc:subject>
   <dc:subject>cognition</dc:subject>
   <dc:subject>emotion</dc:subject>
   <dc:subject>episodic memory</dc:subject>
   <dc:subject>executive function</dc:subject>
   <dc:subject>facial recognition</dc:subject>
   <dc:subject>female</dc:subject>
   <dc:subject>human</dc:subject>
   <dc:subject>male</dc:subject>
   <dc:subject>middle aged</dc:subject>
   <dc:subject>neuropsychological test</dc:subject>
   <dc:subject>psychology</dc:subject>
   <dc:subject>theory of mind</dc:subject>
   <dc:subject>very elderly</dc:subject>
   <dc:subject>Aged</dc:subject>
   <dc:subject>Aged, 80 and over</dc:subject>
   <dc:subject>Alzheimer Disease</dc:subject>
   <dc:subject>Cognition</dc:subject>
   <dc:subject>Emotions</dc:subject>
   <dc:subject>Executive Function</dc:subject>
   <dc:subject>Facial Recognition</dc:subject>
   <dc:subject>Female</dc:subject>
   <dc:subject>Humans</dc:subject>
   <dc:subject>Male</dc:subject>
   <dc:subject>Memory, Episodic</dc:subject>
   <dc:subject>Middle Aged</dc:subject>
   <dc:subject>Neuropsychological Tests</dc:subject>
   <dc:subject>Theory of Mind</dc:subject>
   <dc:description>Although cognitive theory of mind (ToM) has been largely studied within neurodegenerative disorders including Alzheimer&amp;apos;s disease (AD), studies focusing on affective ToM are relatively limited, yielding inconsistent findings. The current study aimed at investigating affective ToM abilities within different stages of AD (mild AD dementia [ADD], mild cognitive impairment [MCI], and subjective cognitive impairment [SCI]), together with its relationship with neuropsychological functioning. Eighty-one participants were tested with two different ToM tasks (Faux Pas Recognition Test [FPR] and Reading Mind in the Eyes Test [RMET]) and tests of attention, executive functions, episodic memory, and facial recognition. Our results showed two different affective ToM profiles in AD continuum: while ADD group performed poorly on both tasks of ToM, MCI group displayed deteriorated performance on RMET but not on FPR. In addition, ToM performance was significantly related to episodic memory and verbal fluency within the overall sample. These findings suggest that impairment in the decoding process of emotional cues could begin even in the prodromal stage of AD. In contrast, the reasoning process of emotional information, as measured with FPR, could be preserved until the dementia stage. Moreover, the relation of affective ToM with amnestic functions and verbal abilities could provide evidence of a domain-general ToM impairment in AD. © 2020 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T15:45:46Z</dc:date>
   <dc:date>2020</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>17486653</dc:identifier>
   <dc:identifier>17486645</dc:identifier>
   <dc:identifier>https://doi.org/10.1111/jnp.12207</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/10339</dc:identifier>
   <dc:identifier>10.1111/jnp.12207</dc:identifier>
   <dc:identifier>2-s2.0-85082195030</dc:identifier>
   <dc:identifier>399</dc:identifier>
   <dc:identifier>415</dc:identifier>
   <dc:identifier>14</dc:identifier>
   <dc:identifier>3</dc:identifier>
   <dc:identifier>32212244</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>Journal of Neuropsychology</dc:relation>
   <dc:relation>All Open Access</dc:relation>
   <dc:relation>Green Accepted Open Access</dc:relation>
   <dc:relation>Green Open Access</dc:relation>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>John Wiley and Sons Ltd cs-journals@wiley.co.uk</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/1152</identifier><datestamp>2025-07-08T14:17:23Z</datestamp><setSpec>com_20.500.14719_392</setSpec><setSpec>col_20.500.14719_2049</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>2008’de medyada çevre</dc:title>
   <dc:creator>Baykan, Barış Gençer</dc:creator>
   <dc:date>2017-04-24T13:21:43Z</dc:date>
   <dc:date>2017-04-24T13:21:43Z</dc:date>
   <dc:date>2009</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>https://hdl.handle.net/20.500.14719/1152</dc:identifier>
   <dc:language>other</dc:language>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Bahçeşehir Üniversitesi Ekonomik ve Toplumsal Araştırmalar Merkezi (BETAM)</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/9737</identifier><datestamp>2026-06-14T00:00:44Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Search for Dark Matter Produced in Association with a Dark Higgs Boson Decaying into W±Wa or ZZ in Fully Hadronic Final States from s =13 TeV pp Collisions Recorded with the ATLAS Detector</dc:title>
   <dc:creator>Aad, Georges</dc:creator>
   <dc:creator>Abbott, Brad K.</dc:creator>
   <dc:creator>Abbott, D. C.</dc:creator>
   <dc:creator>Abed Abud, Adam</dc:creator>
   <dc:creator>Abeling, Kira</dc:creator>
   <dc:creator>Abhayasinghe, D. K.</dc:creator>
   <dc:creator>Abidi, Syed Hani</dc:creator>
   <dc:creator>AbouZeid, O. S.</dc:creator>
   <dc:creator>Abraham, Nicola L.</dc:creator>
   <dc:creator>Abramowicz, Halina</dc:creator>
   <dc:contributor>Aad, Georges, Centre de Physique des Particules de Marseille, Marseille, France</dc:contributor>
   <dc:contributor>Abbott, Brad K., Homer L. Dodge Department of Physics and Astronomy, The University of Oklahoma, Norman, United States, Full Author List Given, United States</dc:contributor>
   <dc:contributor>Abbott, D. C., Department of Physics, University of Massachusetts Amherst, Amherst, United States</dc:contributor>
   <dc:contributor>Abed Abud, Adam, Organisation Européenne pour la Recherche Nucléaire, Geneva, Switzerland, Dep Fisica and CEFITEC, Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa, Caparica, Portugal</dc:contributor>
   <dc:contributor>Abeling, Kira, Institute of Physics, Georg-August-Universität Göttingen, Gottingen, Germany</dc:contributor>
   <dc:contributor>Abhayasinghe, D. K., Department of Physics, Royal Holloway, University of London, Egham, United Kingdom</dc:contributor>
   <dc:contributor>Abidi, Syed Hani, Department of Physics, University of Toronto, Toronto, Canada</dc:contributor>
   <dc:contributor>AbouZeid, O. S., Niels Bohr Institutet, Copenhagen, Denmark</dc:contributor>
   <dc:contributor>Abraham, Nicola L., Department of Physics and Astronomy, University of Sussex, Brighton, United Kingdom</dc:contributor>
   <dc:contributor>Abramowicz, Halina, Raymond and Beverly Sackler School of Physics and Astronomy, Tel Aviv University, Tel Aviv-Yafo, Israel</dc:contributor>
   <dc:subject>Bosons</dc:subject>
   <dc:subject>Galaxies</dc:subject>
   <dc:subject>Germanium Compounds</dc:subject>
   <dc:subject>A-center</dc:subject>
   <dc:subject>Atlas Detectors</dc:subject>
   <dc:subject>Dark Matter Particles</dc:subject>
   <dc:subject>Final State</dc:subject>
   <dc:subject>Higgs Boson</dc:subject>
   <dc:subject>Novel Techniques</dc:subject>
   <dc:subject>The Standard Model</dc:subject>
   <dc:subject>Dark Matter</dc:subject>
   <dc:subject>Bosons</dc:subject>
   <dc:subject>Galaxies</dc:subject>
   <dc:subject>Germanium compounds</dc:subject>
   <dc:subject>A-center</dc:subject>
   <dc:subject>ATLAS detectors</dc:subject>
   <dc:subject>Dark matter particles</dc:subject>
   <dc:subject>Final state</dc:subject>
   <dc:subject>Higgs boson</dc:subject>
   <dc:subject>Novel techniques</dc:subject>
   <dc:subject>The standard model</dc:subject>
   <dc:subject>Dark Matter</dc:subject>
   <dc:description>Several extensions of the Standard Model predict the production of dark matter particles at the LHC. An uncharted signature of dark matter particles produced in association with VV=W±Waor ZZ pairs from a decay of a dark Higgs boson s is searched for using 139 fb-1 of pp collisions recorded by the ATLAS detector at a center-of-mass energy of 13 TeV. The s→V(qq)V(qq) decays are reconstructed with a novel technique aimed at resolving the dense topology from boosted VV pairs using jets in the calorimeter and tracking information. Dark Higgs scenarios with ms&amp;gt;160 GeV are excluded. © 2021 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T15:35:23Z</dc:date>
   <dc:date>2021</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>10797114</dc:identifier>
   <dc:identifier>00319007</dc:identifier>
   <dc:identifier>https://doi.org/10.1103/PhysRevLett.126.121802</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/9737</dc:identifier>
   <dc:identifier>10.1103/PhysRevLett.126.121802</dc:identifier>
   <dc:identifier>2-s2.0-85103517168</dc:identifier>
   <dc:identifier>126</dc:identifier>
   <dc:identifier>12</dc:identifier>
   <dc:identifier>33834820</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>Physical Review Letters</dc:relation>
   <dc:relation>All Open Access</dc:relation>
   <dc:relation>Green Accepted Open Access</dc:relation>
   <dc:relation>Green Open Access</dc:relation>
   <dc:relation>Hybrid Gold Open Access</dc:relation>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>American Physical Society</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/21155</identifier><datestamp>2025-10-09T18:09:08Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>A B-THALASSEMIA MAJOR PATIENT WITH ACUTE LEUKEMIA SUCCESSFULLY TREATED WITH HSCT FROM HIS SIBLING BY USING PGD AND HLA TYPING: A DOUBLE CURE</dc:title>
   <dc:creator>Yesilipek, A.</dc:creator>
   <dc:creator>Uygun, V.</dc:creator>
   <dc:creator>Karasu, G.</dc:creator>
   <dc:creator>Eker, N.</dc:creator>
   <dc:creator>Hazar, V.</dc:creator>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:contributor>Medical Park Hospitals Group</dc:contributor>
   <dc:contributor>Medical Park Hospitals Group</dc:contributor>
   <dc:contributor>Akdeniz University</dc:contributor>
   <dc:subject>Biophysics</dc:subject>
   <dc:subject>Oncology</dc:subject>
   <dc:subject>Hematology</dc:subject>
   <dc:subject>Immunology</dc:subject>
   <dc:subject>Transplantation</dc:subject>
   <dc:date>2025-10-09T18:09:08Z</dc:date>
   <dc:date>2014</dc:date>
   <dc:type>Meeting Abstract</dc:type>
   <dc:identifier>0268-3369</dc:identifier>
   <dc:identifier>1476-5365</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/21155</dc:identifier>
   <dc:identifier>S495</dc:identifier>
   <dc:identifier>S495</dc:identifier>
   <dc:identifier>49</dc:identifier>
   <dc:identifier>Milan, ITALY</dc:identifier>
   <dc:identifier>40th Annual Meeting of the European-Group-for-Blood-and-Marrow-Transplantation</dc:identifier>
   <dc:identifier>MAR 30-APR 02, 2014</dc:identifier>
   <dc:identifier>European Grp Blood &amp; Marrow Transplantat</dc:identifier>
   <dc:identifier>Science Citation Index Expanded (SCI-EXPANDED)</dc:identifier>
   <dc:identifier>Conference Proceedings Citation Index - Science (CPCI-S)</dc:identifier>
   <dc:identifier>WOS:000359941902256</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>BONE MARROW TRANSPLANTATION</dc:relation>
   <dc:publisher>NATURE PUBLISHING GROUP</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/5677</identifier><datestamp>2026-06-18T18:16:17Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2015</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>ULUSLARARASI HUKUKTA HAKKANİYETİN NORMATİF NİTELİĞİ</dc:title>
   <dc:creator>Pirim Kızılca, Ceren Zeynep</dc:creator>
   <dc:contributor>Bahçeşehir Üniversitesi</dc:contributor>
   <dc:subject>Hukuk</dc:subject>
   <dc:description>Teknik bir bakış açısı ile yaklaşılmadığında hukuk, adalet ve hakkaniyet kavramlarının her biri bir diğeri ışığında tanımlanacaktır. Oysa hukuk ve hakkaniyet arasındaki bağ, teknik hukuk eğitimi almış ve özellikle pozitivist ekolün rahle-i tedrisinden geçmiş hukukçu için bu kadar kuvvetli olmayabilir. Zira pozitivist hukukçunun temel aldığı hukuk tanımı uyarınca hukukun amacı adaleti sağlamak değil, hukuk kişileri arasında var olan ilişkileri düzenlemektir. Bu tespit uluslararası hukuk için de geçerlidir. Nitekim uluslararası hukukta hakkaniyetin normatif niteliği geçmişte olduğu kadar günümüzde de ciddi tartışmalara sebebiyet vermekte ve önemli fikir ayrılıklarının konusunu teşkil etmektedir. Söz konusu çalışma hakkaniyetin uluslararası hukuk çatısı altında normatif bir nitelik taşıyıp taşımadığını, daha açık bir ifade ile bir uluslararası hukuk kaynağı olup olmadığını tartışmaktadır. Bu çerçevede, uluslararası hukukta hakkaniyetin mahiyeti, içeriği ve türleri incelenmekte, hakkaniyetin bir uluslararası hukuk kaynağı olup olmadığı sorunsalında yol gösterici nitelikteki uluslararası içtihada değinilmekte ve hakkaniyetin bağımsız bir uluslararası hukuk kaynağı olarak kabul edilmesinin doğuracağı sonuçlar değerlendirilmektedir.</dc:description>
   <dc:date>2025-09-20T20:02:34Z</dc:date>
   <dc:date>2016</dc:date>
   <dc:date>2022-07-29</dc:date>
   <dc:type>Research Article</dc:type>
   <dc:identifier>1309-6826</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/5677</dc:identifier>
   <dc:identifier>169</dc:identifier>
   <dc:identifier>201</dc:identifier>
   <dc:identifier>1</dc:identifier>
   <dc:identifier>26</dc:identifier>
   <dc:language>tr</dc:language>
   <dc:relation>Türkiye Adalet Akademisi Dergisi</dc:relation>
   <dc:format>application/pdf</dc:format>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/1051</identifier><datestamp>2025-07-09T07:27:01Z</datestamp><setSpec>com_20.500.14719_1164</setSpec><setSpec>col_20.500.14719_1165</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Eğitim Reformu Girişimi faaliyet raporu : 2003-2007</dc:title>
   <dc:creator>Sabancı Üniversitesi Eğitim Reformu Girişimi</dc:creator>
   <dc:date>2016-06-20T13:07:25Z</dc:date>
   <dc:date>2016-06-20T13:07:25Z</dc:date>
   <dc:date>2007</dc:date>
   <dc:type>Book</dc:type>
   <dc:identifier>https://hdl.handle.net/20.500.14719/1051</dc:identifier>
   <dc:language>other</dc:language>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Sabancı Üniversitesi Eğitim Reformu Girişimi</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/7163</identifier><datestamp>2025-10-05T14:47:09Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Language teacher candidates’ representation of Türkiye's East and West: A critical discourse analysis of online discussions in a telecollaboration</dc:title>
   <dc:creator>Keles, Ufuk</dc:creator>
   <dc:creator>Yazan, Bedrettin</dc:creator>
   <dc:creator>Uzum, Baburhan</dc:creator>
   <dc:creator>Akayoǧlu, Sedat</dc:creator>
   <dc:contributor>Keles, Ufuk, Department of English Language Teaching, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Yazan, Bedrettin, Department of Bicultural-Bilingual Studies, The University of Texas at San Antonio, San Antonio, United States</dc:contributor>
   <dc:contributor>Uzum, Baburhan, Department of Bilingual Education and ESL, Sam Houston State University, Huntsville, United States</dc:contributor>
   <dc:contributor>Akayoǧlu, Sedat, Department of English Language Teaching, Bolu Abant İzzet Baysal Üniversitesi, Bolu, Turkey</dc:contributor>
   <dc:subject>Call</dc:subject>
   <dc:subject>Critical Discourse Analysis</dc:subject>
   <dc:subject>East-west Dichotomy In Türkiye</dc:subject>
   <dc:subject>Language Teacher Education</dc:subject>
   <dc:subject>Teacher Candidates</dc:subject>
   <dc:subject>Teacher Education</dc:subject>
   <dc:subject>Telecollaboration</dc:subject>
   <dc:description>This study explores data collected from a telecollaboration project between two universities in Türkiye and the US. We draw upon the notion that how language teacher candidates from Türkiye (LTCTs) situate themselves contextually pertain to their professional learning and practices and future language teacher identity. Focusing on their telecollaboration discourse, we specifically examine these LTCTs’ construction of Türkiye's multiculturalism through an oversimplistic and stereotypical East-West binary. We analyzed the data using Fairclough's three-dimensional CDA model. We found that when discussing multiculturalism, the LTCTs socio-politically constructed framing of Türkiye's East and West has been influenced by meso level institutional policies and macro level nation-state ideologies. Next, our findings showed that the LTCTs avoided controversial sociopolitical issues when talking specifically about the East refraining from any connotations of separatist discourses. We suggest teachers educators foster critical analysis within teacher education programs to help understand and prepare teacher candidates for their future practice. © 2024 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T14:47:09Z</dc:date>
   <dc:date>2024</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>08985898</dc:identifier>
   <dc:identifier>https://doi.org/10.1016/j.linged.2024.101305</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/7163</dc:identifier>
   <dc:identifier>10.1016/j.linged.2024.101305</dc:identifier>
   <dc:identifier>2-s2.0-85192201254</dc:identifier>
   <dc:identifier>81</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>Linguistics and Education</dc:relation>
   <dc:publisher>Elsevier Ltd</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/17461</identifier><datestamp>2025-10-09T11:30:04Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Security-level classification for confidential documents by using adaptive neuro-fuzzy inference systems</dc:title>
   <dc:creator>Alparslan, Erdem</dc:creator>
   <dc:creator>Karahoca, Adem</dc:creator>
   <dc:creator>Bahsi, Hayretdin</dc:creator>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:contributor>Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK)</dc:contributor>
   <dc:subject>Computer Science, Artificial Intelligence</dc:subject>
   <dc:subject>Computer Science, Theory &amp; Methods</dc:subject>
   <dc:subject>document classification</dc:subject>
   <dc:subject>expert systems</dc:subject>
   <dc:subject>ANFIS</dc:subject>
   <dc:subject>SVM</dc:subject>
   <dc:subject>Turkish NLP</dc:subject>
   <dc:subject>ROC</dc:subject>
   <dc:description>The security-level detection of a confidential document is a vital task for organizations to protect their confidential information. Diverse classification rules and techniques are being applied by human experts. Increasing number of confidential information in organizations is making difficult to classify all the documents carefully with human effort. The recommended frameworks in this study classify the internal documents of TUBITAK UEKAE (National Research Institute of Electronics and Cryptology of Turkey) by using classification algorithms naive Bayes, support vector machines (SVMs) and adaptive neuro-fuzzy inference systems (ANFISs). A hybrid approach involving support vector classifiers and adaptive neuro-fuzzy classifiers exposes the most successful accuracy rates of expert system classification. This study also states preprocessing tasks required for document classification with natural language processing. To represent term-document relations, a recommended metric TF-IDF was chosen to construct a weight matrix. Agglutinative nature of Turkish documents is handled by Turkish stemming algorithms. At the end of the article, some experimental results and success metrics are projected with accuracy rates and receiver operating characteristic (ROC) curves.</dc:description>
   <dc:date>2025-10-09T11:30:04Z</dc:date>
   <dc:date>2013</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>0266-4720</dc:identifier>
   <dc:identifier>1468-0394</dc:identifier>
   <dc:identifier>http://dx.doi.org/10.1111/j.1468-0394.2012.00634.x</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/17461</dc:identifier>
   <dc:identifier>10.1111/j.1468-0394.2012.00634.x</dc:identifier>
   <dc:identifier>233</dc:identifier>
   <dc:identifier>242</dc:identifier>
   <dc:identifier>30</dc:identifier>
   <dc:identifier>3</dc:identifier>
   <dc:identifier>Science Citation Index Expanded (SCI-EXPANDED)</dc:identifier>
   <dc:identifier>WOS:000321893900005</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>EXPERT SYSTEMS</dc:relation>
   <dc:publisher>WILEY</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/13309</identifier><datestamp>2025-10-05T16:41:35Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Investigation on the validity of prediction models for multilayered structures</dc:title>
   <dc:creator>Kurra, Selma</dc:creator>
   <dc:contributor>Kurra, Selma, Department of Environmental Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:subject>Frequency Domains</dc:subject>
   <dc:subject>High Frequency Hf</dc:subject>
   <dc:subject>Lower Frequencies</dc:subject>
   <dc:subject>Multi-layered Structure</dc:subject>
   <dc:subject>Sound Transmission</dc:subject>
   <dc:subject>Sound Transmission Loss</dc:subject>
   <dc:subject>Transfer Matrixes</dc:subject>
   <dc:subject>Windowing Techniques</dc:subject>
   <dc:subject>Transfer Matrix Method</dc:subject>
   <dc:subject>Architectural Acoustics</dc:subject>
   <dc:subject>Frequency domains</dc:subject>
   <dc:subject>High frequency HF</dc:subject>
   <dc:subject>Lower frequencies</dc:subject>
   <dc:subject>Multi-layered structure</dc:subject>
   <dc:subject>Sound transmission</dc:subject>
   <dc:subject>Sound transmission loss</dc:subject>
   <dc:subject>Transfer matrixes</dc:subject>
   <dc:subject>Windowing techniques</dc:subject>
   <dc:subject>Transfer matrix method</dc:subject>
   <dc:subject>Architectural acoustics</dc:subject>
   <dc:description>This study involves a review of the models developed for sound reduction indexes of multi-layered structures. The three computerized model compared to investigate the differences are: 1 .Insul based on the sound transmission theories and Sharp Model 2. Acousys employing the transfer matrix and the windowing techniques, 3. FMulay based on the improved impedance model for the finite size structures. 65 different building elements composed of different configurations were employed in the computations which resulted in terms of both single number rating unit (R&lt;inf>w&lt;/inf>) and the frequency domain sound transmission losses. Statistical analysis of the results indicated that the Acousys and FMulay are better correlated. When the calculated data was compared with the earlier experimental results to provide verification, the Insul yielded slightly better compatibility with the laboratory data at high frequencies whereas the lower frequency results indicate similarity to those of the other two models. © 2013 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T16:41:34Z</dc:date>
   <dc:date>2012</dc:date>
   <dc:type>Conference Paper</dc:type>
   <dc:identifier>https://hdl.handle.net/20.500.14719/13309</dc:identifier>
   <dc:identifier>2-s2.0-84876257411</dc:identifier>
   <dc:identifier>1974</dc:identifier>
   <dc:identifier>1981</dc:identifier>
   <dc:identifier>3</dc:identifier>
   <dc:identifier>Vilnius</dc:identifier>
   <dc:identifier>19th International Congress on Sound and Vibration 2012, ICSV 2012</dc:identifier>
   <dc:language>en</dc:language>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/1545</identifier><datestamp>2025-06-02T11:22:23Z</datestamp><setSpec>com_20.500.14719_11</setSpec><setSpec>col_20.500.14719_1762</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Analysis of impact on ethical values of internet use : a data mining model approach</dc:title>
   <dc:creator>Arıtürk, Merve</dc:creator>
   <dc:contributor>Karahoca, Dilek</dc:contributor>
   <dc:subject>Ethics</dc:subject>
   <dc:subject>Internet ethics</dc:subject>
   <dc:subject>Values of faith</dc:subject>
   <dc:subject>Data mining</dc:subject>
   <dc:subject>Etik</dc:subject>
   <dc:subject>İnternet etiği</dc:subject>
   <dc:subject>İnanç değerleri</dc:subject>
   <dc:subject>Veri madenciliği</dc:subject>
   <dc:description>The purpose of this study, analyse the usage of Internet between awareness of information and faith with investigating the experiences of people who live in Turkey. The problem is trying to demonstrate the format of ethical behaviour for different users with their perspective.&#xd;
In this study, the universe of the sample was reached by the social media platforms. The average age of the participants was calculated as 21. Scanning Model is used with the survey that was named as “Ethical Internet Usage” was performed on the Internet.&#xd;
While maintaining this work, the questions which were on different surveys with the related to our work were analysed. After analysing, the questions were selected with the existing correlation value that significantly depends on the information. Then, the arff file is created with the factors and the data. According to the arff file, some data mining techniques are used to make predictions. The best result is gained from the NaiveBayes classification method.&#xd;
Based on the results, women have more ethical behaviour than men. There is a strict relationship between the ethical personal behaviour and the education level of parents. According to the classification methods, the scale will be created with the results which are significant. If there is a new value or data about the research, the scale shows the user behaviour that is assuming based on users’ demographical information.</dc:description>
   <dc:description>Bu çalışmanın amacı, Türkiye'deki bireylerin etik internet kullanımı üzerindeki deneyimlerini araştırarak internet kullanımındaki bilgi farkındalığı durumunun inanç bağlantı analizinin yapılmasıdır.&#xd;
Bilgi iletişim teknolojilerindeki gelişmelerle birlikte elektronik iletişim kaynaklarına olan talep, sosyal yaşam değerleri üzerinde farklı etkiler meydana getirmiştir. Sosyal medya kullanıcıları günlük yaşam faaliyetlerinin yanı sıra inanç sistemlerindeki değerleri paylaşmak , eleştirmek , yeniden yorumlamak gibi düşünsel aktiviteleri etkin kullanmaktadır. Bu araştırmada bireylerin etik internet kullanımı alışkanlıklarının sosyal medya ortamında değerlerler üzerindeki etkileri incelenmiştir. Çalışmanın örneklemini sosyal medya kullanıcılarından seçilerek, “Etik İnternet Kullanımı” anketi uygulanmıştır. Bu anketle veriler toplanarak; veri madenciliği yaklaşımı ile değerlendirilmiştir.&#xd;
Çalışmalarda mevcut internet kullanımına ilişkin farklı anketlerden belirlenen araştırma boyutlarıyla ilgili sorular teker teker analiz edilerek ilgili araştırmalardaki mevcut korelasyon değerleri ve bilginin anlamlı olup olmamasına bağlı olarak sorular seçilmiştir.&#xd;
Uygulanan anketin sonuçları incelenerek bireylerin etik olması ile interneti etik kullanması arasındaki ilişki irdelenmiş, veri madenciliği teknikleri kullanılarak analiz yapılmıştır. Araştırma sonuçları doğrultusunda önerilerde bulunulmuştur.</dc:description>
   <dc:date>2024-08-13T12:57:54Z</dc:date>
   <dc:date>2024-08-13T12:57:54Z</dc:date>
   <dc:date>2015-05</dc:date>
   <dc:type>Thesis</dc:type>
   <dc:identifier>https://hdl.handle.net/20.500.14719/1545</dc:identifier>
   <dc:language>en</dc:language>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Bahçeşehir Üniversitesi Fen Bilimleri Enstitüsü</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/20033</identifier><datestamp>2025-10-09T17:06:58Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Search for dark matter in association with an energetic photon in pp collisions at √s=13 TeV with the ATLAS detector</dc:title>
   <dc:subject>Physics, Particles &amp; Fields</dc:subject>
   <dc:subject>Dark matter</dc:subject>
   <dc:subject>Hadron-Hadron scattering (experiments)</dc:subject>
   <dc:subject>LHC</dc:subject>
   <dc:description>A search for dark matter is conducted in final states containing a photon and missing transverse momentum in proton-proton collisions at root s = 13 TeV. The data, collected during 2015-2018 by the ATLAS experiment at the CERN LHC, correspond to an integrated luminosity of 139 fb(-1). No deviations from the predictions of the Standard Model are observed and 95% confidence-level upper limits between 2.45 fb and 0.5 fb are set on the visible cross section for contributions from physics beyond the Standard Model, in different ranges of the missing transverse momentum. The results are interpreted as 95% confidence-level limits in models where weakly interacting dark-matter candidates are pair-produced via an s-channel axial-vector or vector mediator. Dark-matter candidates with masses up to 415 (580) GeV are excluded for axial-vector (vector) mediators, while the maximum excluded mass of the mediator is 1460 (1470) GeV. In addition, the results are expressed in terms of 95% confidence-level limits on the parameters of a model with an axion-like particle produced in association with a photon, and are used to constrain the coupling g(aZ gamma) of an axion-like particle to the electroweak gauge bosons.</dc:description>
   <dc:date>2025-10-09T17:06:54Z</dc:date>
   <dc:date>2021</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>1029-8479</dc:identifier>
   <dc:identifier>http://dx.doi.org/10.1007/JHEP02(2021)226</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/20033</dc:identifier>
   <dc:identifier>10.1007/JHEP02(2021)226</dc:identifier>
   <dc:identifier>2</dc:identifier>
   <dc:identifier>Science Citation Index Expanded (SCI-EXPANDED)</dc:identifier>
   <dc:identifier>WOS:000625548600001</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>JOURNAL OF HIGH ENERGY PHYSICS</dc:relation>
   <dc:relation>Green Submitted</dc:relation>
   <dc:relation>gold</dc:relation>
   <dc:relation>Green Accepted</dc:relation>
   <dc:relation>ANPCyT, Argentina</dc:relation>
   <dc:relation>YerPhI, Armenia</dc:relation>
   <dc:relation>ARC, Australia</dc:relation>
   <dc:relation>BMWFW, Austria</dc:relation>
   <dc:relation>FWF, Austria</dc:relation>
   <dc:relation>ANAS, Azerbaijan</dc:relation>
   <dc:relation>SSTC, Belarus</dc:relation>
   <dc:relation>CNPq, Brazil</dc:relation>
   <dc:relation>FAPESP, Brazil</dc:relation>
   <dc:relation>NSERC, Canada</dc:relation>
   <dc:relation>NRC, Canada</dc:relation>
   <dc:relation>CFI, Canada</dc:relation>
   <dc:relation>CERN</dc:relation>
   <dc:relation>ANID, Chile</dc:relation>
   <dc:relation>CAS, China</dc:relation>
   <dc:relation>MOST, China</dc:relation>
   <dc:relation>NSFC, China</dc:relation>
   <dc:relation>COLCIENCIAS, Colombia</dc:relation>
   <dc:relation>MSMT CR, Czech Republic</dc:relation>
   <dc:relation>MPO CR, Czech Republic</dc:relation>
   <dc:relation>VSC CR, Czech Republic</dc:relation>
   <dc:relation>DNRF, Denmark</dc:relation>
   <dc:relation>DNSRC, Denmark</dc:relation>
   <dc:relation>IN2P3-CNRS, France</dc:relation>
   <dc:relation>CEA-DRF/IRFU, France</dc:relation>
   <dc:relation>SRNSFG, Georgia</dc:relation>
   <dc:relation>BMBF, Germany</dc:relation>
   <dc:relation>HGF, Germany</dc:relation>
   <dc:relation>MPG, Germany</dc:relation>
   <dc:relation>GSRT, Greece</dc:relation>
   <dc:relation>RGC, China</dc:relation>
   <dc:relation>Hong Kong SAR, China</dc:relation>
   <dc:relation>ISF, Israel</dc:relation>
   <dc:relation>Benoziyo Center, Israel</dc:relation>
   <dc:relation>INFN, Italy</dc:relation>
   <dc:relation>MEXT, Japan</dc:relation>
   <dc:relation>JSPS, Japan</dc:relation>
   <dc:relation>CNRST, Morocco</dc:relation>
   <dc:relation>NWO, Netherlands</dc:relation>
   <dc:relation>RCN, Norway</dc:relation>
   <dc:relation>MNiSW, Poland</dc:relation>
   <dc:relation>NCN, Poland</dc:relation>
   <dc:relation>FCT, Portugal</dc:relation>
   <dc:relation>MNE/IFA, Romania</dc:relation>
   <dc:relation>JINR</dc:relation>
   <dc:relation>MES of Russia, Russian Federation</dc:relation>
   <dc:relation>NRC KI, Russian Federation</dc:relation>
   <dc:relation>MESTD, Serbia</dc:relation>
   <dc:relation>MSSR, Slovakia</dc:relation>
   <dc:relation>ARRS, Slovenia</dc:relation>
   <dc:relation>MIZS, Slovenia</dc:relation>
   <dc:relation>DST/NRF, South Africa</dc:relation>
   <dc:relation>MICINN, Spain</dc:relation>
   <dc:relation>SRC, Sweden</dc:relation>
   <dc:relation>Wallenberg Foundation, Sweden</dc:relation>
   <dc:relation>SERI, Switzerland</dc:relation>
   <dc:relation>SNSF, Switzerland</dc:relation>
   <dc:relation>Canton of Bern, Switzerland</dc:relation>
   <dc:relation>Canton of Geneva, Switzerland</dc:relation>
   <dc:relation>MOST, Taiwan</dc:relation>
   <dc:relation>TAEK, Turkey</dc:relation>
   <dc:relation>STFC, United Kingdom</dc:relation>
   <dc:relation>DOE, United States of America</dc:relation>
   <dc:relation>NSF, United States of America</dc:relation>
   <dc:relation>BCKDF, Canada</dc:relation>
   <dc:relation>CANARIE, Canada</dc:relation>
   <dc:relation>Compute Canada, Canada</dc:relation>
   <dc:relation>CRC, Canada</dc:relation>
   <dc:relation>IVADO, Canada</dc:relation>
   <dc:relation>Beijing Municipal Science AMP</dc:relation>
   <dc:relation>Technology Commission, China</dc:relation>
   <dc:relation>COST, European Union</dc:relation>
   <dc:relation>ERC, European Union</dc:relation>
   <dc:relation>ERDF, European Union</dc:relation>
   <dc:relation>Horizon 2020, European Union</dc:relation>
   <dc:relation>Marie Sklodowska-Curie Actions, European Union</dc:relation>
   <dc:relation>Investissements d'Avenir Labex, France</dc:relation>
   <dc:relation>Investissements d'Avenir Idex, France</dc:relation>
   <dc:relation>ANR, France</dc:relation>
   <dc:relation>DFG, Germany</dc:relation>
   <dc:relation>AvH Foundation, Germany</dc:relation>
   <dc:relation>Herakleitos, Greece</dc:relation>
   <dc:relation>Thales programme - EU-ESF, Greece</dc:relation>
   <dc:relation>Aristeia programme - EU-ESF, Greece</dc:relation>
   <dc:relation>Greek NSRF, Greece</dc:relation>
   <dc:relation>BSF-NSF, Israel</dc:relation>
   <dc:relation>GIF, Israel</dc:relation>
   <dc:relation>La Caixa Banking Foundation, Spain</dc:relation>
   <dc:relation>CERCA Programme Generalitat de Catalunya, Spain</dc:relation>
   <dc:relation>PROMETEO Programme Generalitat Valenciana, Spain</dc:relation>
   <dc:relation>GenT Programme Generalitat Valenciana, Spain</dc:relation>
   <dc:relation>Goran Gustafssons Stiftelse, Sweden</dc:relation>
   <dc:relation>Royal Society, United Kingdom</dc:relation>
   <dc:relation>Leverhulme Trust, United Kingdom</dc:relation>
   <dc:relation>Science and Technology Facilities Council [ST/L001179/1, ST/M006980/1, ATLAS, ST/N000331/1, ST/N000420/1, ST/S000879/1, ST/P002439/1, ST/N000277/1, ST/S000747/1] Funding Source: researchfish</dc:relation>
   <dc:relation>STFC [ST/S000933/1, ST/M006980/1, ST/S00095X/1, ST/N000331/1, ST/N000420/1, ST/P002439/1, ST/N000277/1, ST/R002495/1, ST/S000747/1, ST/S000879/1, ST/L001179/1] Funding Source: UKRI</dc:relation>
   <dc:relation>ANPCyT, Argentina(ANPCyT)</dc:relation>
   <dc:relation>YerPhI, Armenia</dc:relation>
   <dc:relation>ARC, Australia(Australian Research Council)</dc:relation>
   <dc:relation>BMWFW, Austria</dc:relation>
   <dc:relation>FWF, Austria(Austrian Science Fund (FWF))</dc:relation>
   <dc:relation>ANAS, Azerbaijan(Azerbaijan National Academy of Sciences (ANAS))</dc:relation>
   <dc:relation>SSTC, Belarus</dc:relation>
   <dc:relation>CNPq, Brazil(Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ))</dc:relation>
   <dc:relation>FAPESP, Brazil(Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP))</dc:relation>
   <dc:relation>NSERC, Canada(Natural Sciences and Engineering Research Council of Canada (NSERC))</dc:relation>
   <dc:relation>NRC, Canada</dc:relation>
   <dc:relation>CFI, Canada(Canada Foundation for Innovation)</dc:relation>
   <dc:relation>CERN</dc:relation>
   <dc:relation>ANID, Chile</dc:relation>
   <dc:relation>CAS, China(Chinese Academy of Sciences)</dc:relation>
   <dc:relation>MOST, China(Ministry of Science and Technology, China)</dc:relation>
   <dc:relation>NSFC, China(National Natural Science Foundation of China (NSFC))</dc:relation>
   <dc:relation>COLCIENCIAS, Colombia(Departamento Administrativo de Ciencia, Tecnologia e Innovacion Colciencias)</dc:relation>
   <dc:relation>MSMT CR, Czech Republic(Ministry of Education, Youth &amp; Sports - Czech RepublicCzech Republic Government)</dc:relation>
   <dc:relation>MPO CR, Czech Republic(Czech Republic Government)</dc:relation>
   <dc:relation>VSC CR, Czech Republic(Czech Republic Government)</dc:relation>
   <dc:relation>DNRF, Denmark(National Research Foundation of Korea)</dc:relation>
   <dc:relation>DNSRC, Denmark(Danish Natural Science Research Council)</dc:relation>
   <dc:relation>IN2P3-CNRS, France(Centre National de la Recherche Scientifique (CNRS))</dc:relation>
   <dc:relation>CEA-DRF/IRFU, France</dc:relation>
   <dc:relation>SRNSFG, Georgia</dc:relation>
   <dc:relation>BMBF, Germany(Federal Ministry of Education &amp; Research (BMBF))</dc:relation>
   <dc:relation>HGF, Germany</dc:relation>
   <dc:relation>MPG, Germany(Max Planck Society)</dc:relation>
   <dc:relation>GSRT, Greece(Greek Ministry of Development-GSRT)</dc:relation>
   <dc:relation>RGC, China</dc:relation>
   <dc:relation>Hong Kong SAR, China</dc:relation>
   <dc:relation>ISF, Israel(Israel Science Foundation)</dc:relation>
   <dc:relation>Benoziyo Center, Israel</dc:relation>
   <dc:relation>INFN, Italy(Istituto Nazionale di Fisica Nucleare (INFN))</dc:relation>
   <dc:relation>MEXT, Japan(Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT))</dc:relation>
   <dc:relation>JSPS, Japan(Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT)Japan Society for the Promotion of Science)</dc:relation>
   <dc:relation>CNRST, Morocco(Centre National de la Recherche Scientifique &amp; Technologique (CNRST))</dc:relation>
   <dc:relation>NWO, Netherlands(Netherlands Organization for Scientific Research (NWO)Netherlands Government)</dc:relation>
   <dc:relation>RCN, Norway(Research Council of Norway)</dc:relation>
   <dc:relation>MNiSW, Poland(Ministry of Science and Higher Education, Poland)</dc:relation>
   <dc:relation>NCN, Poland</dc:relation>
   <dc:relation>FCT, Portugal(Fundacao para a Ciencia e a Tecnologia (FCT))</dc:relation>
   <dc:relation>MNE/IFA, Romania</dc:relation>
   <dc:relation>JINR</dc:relation>
   <dc:relation>MES of Russia, Russian Federation(Russian Federation)</dc:relation>
   <dc:relation>NRC KI, Russian Federation</dc:relation>
   <dc:relation>MESTD, Serbia(Ministry of Education, Science &amp; Technological Development, Serbia)</dc:relation>
   <dc:relation>MSSR, Slovakia</dc:relation>
   <dc:relation>ARRS, Slovenia(Slovenian Research Agency - Slovenia)</dc:relation>
   <dc:relation>MIZS, Slovenia</dc:relation>
   <dc:relation>DST/NRF, South Africa</dc:relation>
   <dc:relation>MICINN, Spain(Spanish GovernmentMinistry of Science &amp; Innovation, Spain (MICINN))</dc:relation>
   <dc:relation>SRC, Sweden</dc:relation>
   <dc:relation>Wallenberg Foundation, Sweden</dc:relation>
   <dc:relation>SERI, Switzerland</dc:relation>
   <dc:relation>SNSF, Switzerland(Swiss National Science Foundation (SNSF))</dc:relation>
   <dc:relation>Canton of Bern, Switzerland</dc:relation>
   <dc:relation>Canton of Geneva, Switzerland</dc:relation>
   <dc:relation>MOST, Taiwan(Ministry of Science and Technology, Taiwan)</dc:relation>
   <dc:relation>TAEK, Turkey(Ministry of Energy &amp; Natural Resources - Turkey)</dc:relation>
   <dc:relation>STFC, United Kingdom(UK Research &amp; Innovation (UKRI)Science &amp; Technology Facilities Council (STFC))</dc:relation>
   <dc:relation>DOE, United States of America(United States Department of Energy (DOE))</dc:relation>
   <dc:relation>NSF, United States of America(National Science Foundation (NSF))</dc:relation>
   <dc:relation>BCKDF, Canada</dc:relation>
   <dc:relation>CANARIE, Canada</dc:relation>
   <dc:relation>Compute Canada, Canada</dc:relation>
   <dc:relation>CRC, Canada</dc:relation>
   <dc:relation>IVADO, Canada</dc:relation>
   <dc:relation>Beijing Municipal Science AMP</dc:relation>
   <dc:relation>Technology Commission, China</dc:relation>
   <dc:relation>COST, European Union</dc:relation>
   <dc:relation>ERC, European Union(European Union (EU)European Research Council (ERC))</dc:relation>
   <dc:relation>ERDF, European Union(European Union (EU)Marie Curie Actions)</dc:relation>
   <dc:relation>Horizon 2020, European Union</dc:relation>
   <dc:relation>Marie Sklodowska-Curie Actions, European Union(European Union (EU)Marie Curie Actions)</dc:relation>
   <dc:relation>Investissements d'Avenir Labex, France(Agence Nationale de la Recherche (ANR))</dc:relation>
   <dc:relation>Investissements d'Avenir Idex, France(Agence Nationale de la Recherche (ANR))</dc:relation>
   <dc:relation>ANR, France(Agence Nationale de la Recherche (ANR))</dc:relation>
   <dc:relation>DFG, Germany(German Research Foundation (DFG))</dc:relation>
   <dc:relation>AvH Foundation, Germany(Alexander von Humboldt Foundation)</dc:relation>
   <dc:relation>Herakleitos, Greece</dc:relation>
   <dc:relation>Thales programme - EU-ESF, Greece(Thales Group)</dc:relation>
   <dc:relation>Aristeia programme - EU-ESF, Greece</dc:relation>
   <dc:relation>Greek NSRF, Greece</dc:relation>
   <dc:relation>BSF-NSF, Israel</dc:relation>
   <dc:relation>GIF, Israel(German-Israeli Foundation for Scientific Research and Development)</dc:relation>
   <dc:relation>La Caixa Banking Foundation, Spain</dc:relation>
   <dc:relation>CERCA Programme Generalitat de Catalunya, Spain</dc:relation>
   <dc:relation>PROMETEO Programme Generalitat Valenciana, Spain</dc:relation>
   <dc:relation>GenT Programme Generalitat Valenciana, Spain</dc:relation>
   <dc:relation>Goran Gustafssons Stiftelse, Sweden</dc:relation>
   <dc:relation>Royal Society, United Kingdom(Royal Society UK)</dc:relation>
   <dc:relation>Leverhulme Trust, United Kingdom(Leverhulme Trust)</dc:relation>
   <dc:relation>Science and Technology Facilities Council(UK Research &amp; Innovation (UKRI)Science &amp; Technology Facilities Council (STFC))</dc:relation>
   <dc:relation>STFC(UK Research &amp; Innovation (UKRI)Science &amp; Technology Facilities Council (STFC))</dc:relation>
   <dc:relation>We acknowledge the support of ANPCyT, Argentina, YerPhI, Armenia, ARC, Australia, BMWFW and FWF, Austria, ANAS, Azerbaijan, SSTC, Belarus, CNPq and FAPESP, Brazil, NSERC, NRC and CFI, Canada, CERN, ANID, Chile, CAS, MOST and NSFC, China, COLCIENCIAS, Colombia, MSMT CR, MPO CR and VSC CR, Czech Republic, DNRF and DNSRC, Denmark, IN2P3-CNRS and CEA-DRF/IRFU, France, SRNSFG, Georgia, BMBF, HGF and MPG, Germany, GSRT, Greece, RGC and Hong Kong SAR, China, ISF and Benoziyo Center, Israel, INFN, Italy, MEXT and JSPS, Japan, CNRST, Morocco, NWO, Netherlands, RCN, Norway, MNiSW and NCN, Poland, FCT, Portugal, MNE/IFA, Romania, JINR, MES of Russia and NRC KI, Russian Federation, MESTD, Serbia, MSSR, Slovakia, ARRS and MIZS, Slovenia, DST/NRF, South Africa, MICINN, Spain, SRC and Wallenberg Foundation, Sweden, SERI, SNSF and Cantons of Bern and Geneva, Switzerland, MOST, Taiwan, TAEK, Turkey, STFC, United Kingdom, DOE and NSF, United States of America. In addition, individual groups and members have received support from BCKDF, CANARIE, Compute Canada, CRC and IVADO, Canada, Beijing Municipal Science &amp; Technology Commission, China, COST, ERC, ERDF, Horizon 2020 and Marie Sklodowska-Curie Actions, European Union, Investissements dAvenir Labex, Investissements dAvenir Idex and ANR, France, DFG and AvH Foundation, Germany, Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece, BSF-NSF and GIF, Israel, La Caixa Banking Foundation, CERCA Programme Generalitat de Catalunya and PROMETEO and GenT Programmes Generalitat Valenciana, Spain, Goran Gustafssons Stiftelse, Sweden, The Royal Society and Leverhulme Trust, United Kingdom.</dc:relation>
   <dc:publisher>SPRINGER</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/15465</identifier><datestamp>2025-10-09T10:52:33Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Toward Understanding the Impact of Dimerization Interfaces in Angiotensin II Type 1 Receptor</dc:title>
   <dc:creator>Erol, Ismail</dc:creator>
   <dc:creator>Cosut, Bunyemin</dc:creator>
   <dc:creator>Durdagi, Serdar</dc:creator>
   <dc:contributor>Gebze Technical University</dc:contributor>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:subject>Chemistry, Medicinal</dc:subject>
   <dc:subject>Chemistry, Multidisciplinary</dc:subject>
   <dc:subject>Computer Science, Information Systems</dc:subject>
   <dc:subject>Computer Science, Interdisciplinary Applications</dc:subject>
   <dc:subject>NEUTRAL ANTIHYPERTENSIVE OXAZALONE</dc:subject>
   <dc:subject>PROTEIN-COUPLED RECEPTORS</dc:subject>
   <dc:subject>CRYSTAL-STRUCTURE</dc:subject>
   <dc:subject>AT(1) RECEPTOR</dc:subject>
   <dc:subject>SIGNAL-TRANSDUCTION</dc:subject>
   <dc:subject>OPIOID RECEPTOR</dc:subject>
   <dc:subject>TRANSMEMBRANE DOMAINS</dc:subject>
   <dc:subject>ARRESTIN RECRUITMENT</dc:subject>
   <dc:subject>STRUCTURAL INSIGHTS</dc:subject>
   <dc:subject>BINDING-SITE</dc:subject>
   <dc:description>Angiotensin II type 1 receptor (AT1R) is a prototypical class A G protein-coupled receptor (GPCR) that has an important role in cardiovascular pathologies and blood pressure regulation as well as in the central nervous system. GPCRs may exist and function as monomers, however, they can assemble to form higher order structures, and as a result of oligomerization, their function and signaling profiles can be altered. In the case of AT1R, the classical G alpha(q/11) pathway is initiated with endogenous agonist angiotensin II binding. A variety of cardiovascular pathologies such as heart failure, diabetic nephropathy, atherosclerosis, and hypertension are associated with this pathway. Recent findings reveal that AT1R can form homodimers and activate the noncanonical (beta-arrestin-mediated) pathway. Nevertheless, the exact dimerization interface and atomic details of AT1R homodimerization have not been still elucidated. Here, six different symmetrical dimer interfaces of AT1R are considered, and homodimers were constructed using other published GPCR crystal dimer interfaces as template structures. These AT1R homodimers were then inserted into the model membrane bilayers and subjected to all-atom molecular dynamics simulations. Our simulation results along with the principal component analysis and water pathway analysis suggest four different interfaces as the most plausible: symmetrical transmembrane (TM)1,2,8, TM5, TM4, and TM4,5 AT1R dimer interfaces that consist of one inactive and one active protomer. Moreover, we identified ILE238(6.33) as a hub residue in the stabilization of the inactive state of AT1R.</dc:description>
   <dc:date>2025-10-09T10:52:32Z</dc:date>
   <dc:date>2019</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>1549-9596</dc:identifier>
   <dc:identifier>1549-960X</dc:identifier>
   <dc:identifier>http://dx.doi.org/10.1021/acs.jcim.9b00294</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/15465</dc:identifier>
   <dc:identifier>10.1021/acs.jcim.9b00294</dc:identifier>
   <dc:identifier>4314</dc:identifier>
   <dc:identifier>4327</dc:identifier>
   <dc:identifier>59</dc:identifier>
   <dc:identifier>10</dc:identifier>
   <dc:identifier>31429557</dc:identifier>
   <dc:identifier>Science Citation Index Expanded (SCI-EXPANDED)</dc:identifier>
   <dc:identifier>WOS:000503918200026</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>JOURNAL OF CHEMICAL INFORMATION AND MODELING</dc:relation>
   <dc:relation>Scientific and Technological Research Council of Turkey (TUBITAK) [214Z122]</dc:relation>
   <dc:relation>Scientific and Technological Research Council of Turkey (TUBITAK)(Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK))</dc:relation>
   <dc:relation>The numerical calculations reported in this paper were fully performed at TUBITAK ULAKBIM, High Performance and Grid Computing Center (TRUBA resources). This work was supported by the Scientific and Technological Research Council of Turkey (TUBITAK), project no.: 214Z122.</dc:relation>
   <dc:publisher>AMER CHEMICAL SOC</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/3772</identifier><datestamp>2025-09-04T20:58:15Z</datestamp><setSpec>com_20.500.14719_1742</setSpec><setSpec>col_20.500.14719_3566</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:date>2025-09-04T20:58:14Z</dc:date>
   <dc:identifier>https://hdl.handle.net/20.500.14719/3772</dc:identifier>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/14482</identifier><datestamp>2025-10-09T10:36:02Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>An approximation method to model multivariate interpolation problems: Indexing HDMR</dc:title>
   <dc:creator>Tunga, M. Alper</dc:creator>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:subject>Computer Science, Interdisciplinary Applications</dc:subject>
   <dc:subject>Computer Science, Software Engineering</dc:subject>
   <dc:subject>Mathematics, Applied</dc:subject>
   <dc:subject>Data partitioning</dc:subject>
   <dc:subject>Multivariate analysis</dc:subject>
   <dc:subject>High-dimensional model representation</dc:subject>
   <dc:subject>Approximation</dc:subject>
   <dc:subject>Combinatorial analysis</dc:subject>
   <dc:subject>REPRESENTATION</dc:subject>
   <dc:description>Dealing with univariate or bivariate data sets instead of a multivariate data set is an important concern in interpolation problems and computer-based applications. This paper presents a new data partitioning method that partitions the given multivariate data set into univariate and bivariate data sets and constructs an approximate analytical structure that interpolates function values at arbitrarily distributed points of the given grid. A number of numerical implementations are also given to show the performance of this new method. (C) 2011 Elsevier Ltd. All rights reserved.</dc:description>
   <dc:date>2025-10-09T10:36:02Z</dc:date>
   <dc:date>2011</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>0895-7177</dc:identifier>
   <dc:identifier>1872-9479</dc:identifier>
   <dc:identifier>http://dx.doi.org/10.1016/j.mcm.2011.01.027</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/14482</dc:identifier>
   <dc:identifier>10.1016/j.mcm.2011.01.027</dc:identifier>
   <dc:identifier>1970</dc:identifier>
   <dc:identifier>1982</dc:identifier>
   <dc:identifier>53</dc:identifier>
   <dc:identifier>9-10</dc:identifier>
   <dc:identifier>Science Citation Index Expanded (SCI-EXPANDED)</dc:identifier>
   <dc:identifier>WOS:000287729700038</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>MATHEMATICAL AND COMPUTER MODELLING</dc:relation>
   <dc:publisher>PERGAMON-ELSEVIER SCIENCE LTD</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/16689</identifier><datestamp>2025-10-09T11:14:15Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Determining the relationship between diet inflammatory index, mental status and quality of life in type 2 diabetes: a cross-sectional study</dc:title>
   <dc:creator>Guldali, Merve</dc:creator>
   <dc:creator>Guveli, Hakan</dc:creator>
   <dc:creator>Cetin, Ferhat</dc:creator>
   <dc:creator>Kenger, Emre Batuhan</dc:creator>
   <dc:creator>Ozlu, Tugce</dc:creator>
   <dc:creator>Ergun, Can</dc:creator>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:subject>Food Science &amp; Technology</dc:subject>
   <dc:subject>Inflammatory diet</dc:subject>
   <dc:subject>Mental health</dc:subject>
   <dc:subject>Type 2 diabetes</dc:subject>
   <dc:subject>Quality of life</dc:subject>
   <dc:subject>DEPRESSIVE SYMPTOMS</dc:subject>
   <dc:subject>ANXIETY</dc:subject>
   <dc:subject>RISK</dc:subject>
   <dc:subject>ASSOCIATION</dc:subject>
   <dc:subject>DII</dc:subject>
   <dc:description>PurposeDiabetes is one of the health problems of increasing importance owing to the increase in its incidence and the problems it causes, and it is closely related to nutrition. This study aims to determine the relationship between the dietary inflammatory index (DII) scores of individuals with type 2 diabetes, depression, anxiety and quality of life. Design/methodology/approachIn this cross-sectional study, 158 individuals with type 2 diabetes who applied to a nutrition and diet outpatient clinic of a private hospital in Istanbul were included. Their depression status was evaluated using the Beck Depression Inventory, their anxiety status was evaluated using the Beck Anxiety Inventory, and their quality of life was evaluated using the Short Form 36 Quality of Life scale. One-way ANOVA test was used to define the difference between groups. All test results were evaluated at a significance level of 0.05. FindingsThere was no significant relationship between DII scores, depression (p = 0.814) and anxiety (p = 0.817). However, a significant decrease was observed in the scores of the quality of life criterion in the groups with high depression and anxiety scores (p &lt; 0.05). In addition, participants with high anxiety states had higher HbA1c levels (p = 0.043). Originality/valueIndividuals in this sample with no known psychiatric diagnosis or treatment history demonstrated a significant relationship between depression and anxiety scores and quality of life.</dc:description>
   <dc:date>2025-10-09T11:14:15Z</dc:date>
   <dc:date>2023</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>0034-6659</dc:identifier>
   <dc:identifier>1758-6917</dc:identifier>
   <dc:identifier>http://dx.doi.org/10.1108/NFS-09-2022-0323</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/16689</dc:identifier>
   <dc:identifier>10.1108/NFS-09-2022-0323</dc:identifier>
   <dc:identifier>1225</dc:identifier>
   <dc:identifier>1237</dc:identifier>
   <dc:identifier>53</dc:identifier>
   <dc:identifier>7</dc:identifier>
   <dc:identifier>Emerging Sources Citation Index (ESCI)</dc:identifier>
   <dc:identifier>WOS:000982799100001</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>NUTRITION &amp; FOOD SCIENCE</dc:relation>
   <dc:publisher>EMERALD GROUP PUBLISHING LTD</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/18446</identifier><datestamp>2025-10-09T11:48:16Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Monitor selection according to the defect location in the medial femoral condyle flap</dc:title>
   <dc:creator>Ercin, Burak Sercan</dc:creator>
   <dc:creator>Tatar, Burak Ergun</dc:creator>
   <dc:creator>Cavadas, Pedro C.</dc:creator>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:contributor>University of Health Sciences Turkey</dc:contributor>
   <dc:contributor>Istanbul Bagcilar Training &amp; Research Hospital</dc:contributor>
   <dc:subject>Critical Care Medicine</dc:subject>
   <dc:subject>Emergency Medicine</dc:subject>
   <dc:subject>Orthopedics</dc:subject>
   <dc:subject>Surgery</dc:subject>
   <dc:subject>Medial femoral condyle flap</dc:subject>
   <dc:subject>Flap monitor</dc:subject>
   <dc:subject>Microsurgery</dc:subject>
   <dc:subject>Buried flap</dc:subject>
   <dc:subject>Hand surgery</dc:subject>
   <dc:subject>ARTERIAL ANATOMY</dc:subject>
   <dc:subject>RECONSTRUCTION</dc:subject>
   <dc:subject>NONUNION</dc:subject>
   <dc:subject>GRAFT</dc:subject>
   <dc:description>Background: Medial femoral condyle(MFC) flap is frequently used in hand reconstruction, but like other buried flaps, MFC is not easy to monitor and follow.In this study, we present our adipofascial and periosteal tissue technical modifications and results for MFC free flap monitoring and compare different monitoring methods. Methods: Twenty one patients with wrist bone or metacarpal defect reconstructed with MFC flap were included in the study. Adipofascial tissue in wrist defect and periosteal tissue in metacarpal defect were selected as MFC flap's monitor. Patient characteristics, type of injury, flap size, early or late-period complications, flap elevation time,satisfaction scale, visual analogue scale (VAS) and postoperative X-ray view were noted. Results: There were 3 female and 18 male patients in the study. The mean age of the patients was 50.8 (38-68). The elevation times of flaps with adipofascial and periosteal monitors were 48 and 53.3 min, respectively. The satisfaction scale averages for the adipofascial and periosteal monitor groups were 3.5 and 3.54, respectively. The VAS scores of the adipofascial and periosteal monitor groups were 2.9 and 3.9, respectively. The flap sizes with periosteal and adipofascial monitors were 10.48 cm(3) and 1.36 cm(3), respectively. There was no statistically significant difference between flap elevation, VAS, and satisfaction scale (>0.05). There was a statistically significant difference in flap sizes. (&lt;0.05) Conclusion: MFC free flap is frequently used in wrist and metacarpal reconstruction. Monitor selection according to the defect area positively affects the prognosis of the flap in the postoperative period. (c) 2022 Elsevier Ltd. All rights reserved.</dc:description>
   <dc:date>2025-10-09T11:48:16Z</dc:date>
   <dc:date>2022</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>0020-1383</dc:identifier>
   <dc:identifier>1879-0267</dc:identifier>
   <dc:identifier>http://dx.doi.org/10.1016/j.injury.2022.09.030</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/18446</dc:identifier>
   <dc:identifier>10.1016/j.injury.2022.09.030</dc:identifier>
   <dc:identifier>4139</dc:identifier>
   <dc:identifier>4145</dc:identifier>
   <dc:identifier>53</dc:identifier>
   <dc:identifier>12</dc:identifier>
   <dc:identifier>36192200</dc:identifier>
   <dc:identifier>Science Citation Index Expanded (SCI-EXPANDED)</dc:identifier>
   <dc:identifier>WOS:000975208200018</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>INJURY-INTERNATIONAL JOURNAL OF THE CARE OF THE INJURED</dc:relation>
   <dc:publisher>ELSEVIER SCI LTD</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/12142</identifier><datestamp>2025-10-05T16:19:20Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Authors’ reply</dc:title>
   <dc:creator>Balcan, Baran</dc:creator>
   <dc:creator>Akan, Selcuk</dc:creator>
   <dc:creator>Özsancak Uğurlu, Aylin</dc:creator>
   <dc:creator>Handemir, Bahar Ozcelik</dc:creator>
   <dc:creator>Ceyhan, Berrin Baǧci</dc:creator>
   <dc:creator>Özkaya, Şevket</dc:creator>
   <dc:contributor>Balcan, Baran, Department of Pulmonary Medicine, Başkent Üniversitesi, Ankara, Turkey</dc:contributor>
   <dc:contributor>Akan, Selcuk,</dc:contributor>
   <dc:contributor>Özsancak Uğurlu, Aylin, Department of Pulmonary Medicine, Başkent Üniversitesi, Ankara, Turkey</dc:contributor>
   <dc:contributor>Handemir, Bahar Ozcelik, Department of Pulmonary Medicine, Irmet Hospital, Tekirdag, Turkey</dc:contributor>
   <dc:contributor>Ceyhan, Berrin Baǧci, Department of Pulmonary Medicine, Marmara Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:contributor>Özkaya, Şevket, Department of Pulmonary Medicine, Bahçeşehir Üniversitesi, Istanbul, Turkey</dc:contributor>
   <dc:subject>Bronchodilating Agent</dc:subject>
   <dc:subject>Chronic Obstructive Lung Disease</dc:subject>
   <dc:subject>Human</dc:subject>
   <dc:subject>Letter</dc:subject>
   <dc:subject>Lung Function Test</dc:subject>
   <dc:subject>Practice Guideline</dc:subject>
   <dc:subject>Spirometry</dc:subject>
   <dc:subject>bronchodilating agent</dc:subject>
   <dc:subject>chronic obstructive lung disease</dc:subject>
   <dc:subject>human</dc:subject>
   <dc:subject>Letter</dc:subject>
   <dc:subject>lung function test</dc:subject>
   <dc:subject>practice guideline</dc:subject>
   <dc:subject>spirometry</dc:subject>
   <dc:description>[No abstract available]</dc:description>
   <dc:date>2025-10-05T16:19:19Z</dc:date>
   <dc:date>2017</dc:date>
   <dc:type>Letter</dc:type>
   <dc:identifier>11769106</dc:identifier>
   <dc:identifier>11782005</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/12142</dc:identifier>
   <dc:identifier>2-s2.0-85014509830</dc:identifier>
   <dc:identifier>653</dc:identifier>
   <dc:identifier>12</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>International Journal of COPD</dc:relation>
   <dc:publisher>Dove Medical Press Ltd. PO Box 300-008, Albany Auckland</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/6525</identifier><datestamp>2026-06-18T00:00:17Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_1767</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Expected tracking performance of the ATLAS Inner Tracker at the High-Luminosity LHC</dc:title>
   <dc:creator>Aad, Georges</dc:creator>
   <dc:creator>Abbott, Brad K.</dc:creator>
   <dc:creator>Abbott, D. C.</dc:creator>
   <dc:creator>Abed Abud, Adam</dc:creator>
   <dc:creator>Abeling, Kira</dc:creator>
   <dc:creator>Abhayasinghe, D. K.</dc:creator>
   <dc:creator>Abidi, Syed Hani</dc:creator>
   <dc:creator>AbouZeid, O. S.</dc:creator>
   <dc:creator>Abraham, Nicola L.</dc:creator>
   <dc:creator>Abramowicz, Halina</dc:creator>
   <dc:contributor>Aad, Georges, Centre de Physique des Particules de Marseille, Marseille, France</dc:contributor>
   <dc:contributor>Abbott, Brad K., Department of Physics and Astronomy, The University of Oklahoma, Norman, United States</dc:contributor>
   <dc:contributor>Abbott, D. C., Department of Physics, University of Massachusetts Amherst, Amherst, United States</dc:contributor>
   <dc:contributor>Abed Abud, Adam, Organisation Européenne pour la Recherche Nucléaire, Geneva, Switzerland</dc:contributor>
   <dc:contributor>Abeling, Kira, Georg-August-Universität Göttingen, Gottingen, Germany</dc:contributor>
   <dc:contributor>Abhayasinghe, D. K., Department of Physics, Royal Holloway, University of London, Egham, United Kingdom</dc:contributor>
   <dc:contributor>Abidi, Syed Hani, University of Toronto, Toronto, Canada</dc:contributor>
   <dc:contributor>AbouZeid, O. S., Niels Bohr Institutet, Copenhagen, Denmark</dc:contributor>
   <dc:contributor>Abraham, Nicola L., University of Sussex, Brighton, United Kingdom</dc:contributor>
   <dc:contributor>Abramowicz, Halina, Tel Aviv University, Tel Aviv-Yafo, Israel</dc:contributor>
   <dc:subject>Calibration</dc:subject>
   <dc:subject>Cluster Finding</dc:subject>
   <dc:subject>Fitting Methods</dc:subject>
   <dc:subject>Gaseous Imaging And Tracking Detectors</dc:subject>
   <dc:subject>Particle Tracking Detectors (solid-state Detectors)</dc:subject>
   <dc:subject>Pattern Recognition</dc:subject>
   <dc:subject>Vertexing Algorithms</dc:subject>
   <dc:subject>Electrons</dc:subject>
   <dc:subject>Hadrons</dc:subject>
   <dc:subject>Linear Accelerators</dc:subject>
   <dc:subject>Negative Ions</dc:subject>
   <dc:subject>Photons</dc:subject>
   <dc:subject>Positive Ions</dc:subject>
   <dc:subject>Silicon Detectors</dc:subject>
   <dc:subject>Solid-state Sensors</dc:subject>
   <dc:subject>Cluster Finding</dc:subject>
   <dc:subject>Fitting Method</dc:subject>
   <dc:subject>Gaseous Imaging Detectors</dc:subject>
   <dc:subject>Particle Tracking</dc:subject>
   <dc:subject>Particle Tracking Detector (solid-state Detector)</dc:subject>
   <dc:subject>Solid State Detectors</dc:subject>
   <dc:subject>Tracking Detectors</dc:subject>
   <dc:subject>Tracking Performance</dc:subject>
   <dc:subject>Vertexing Algorithm</dc:subject>
   <dc:subject>Particle Detectors</dc:subject>
   <dc:subject>Electrons</dc:subject>
   <dc:subject>Hadrons</dc:subject>
   <dc:subject>Linear accelerators</dc:subject>
   <dc:subject>Negative ions</dc:subject>
   <dc:subject>Photons</dc:subject>
   <dc:subject>Positive ions</dc:subject>
   <dc:subject>Silicon detectors</dc:subject>
   <dc:subject>Solid-state sensors</dc:subject>
   <dc:subject>Cluster finding</dc:subject>
   <dc:subject>Fitting method</dc:subject>
   <dc:subject>Gaseous imaging detectors</dc:subject>
   <dc:subject>Particle tracking</dc:subject>
   <dc:subject>Particle tracking detector (solid-state detector)</dc:subject>
   <dc:subject>Solid state detectors</dc:subject>
   <dc:subject>Tracking detectors</dc:subject>
   <dc:subject>Tracking performance</dc:subject>
   <dc:subject>Vertexing algorithm</dc:subject>
   <dc:subject>Particle detectors</dc:subject>
   <dc:description>The high-luminosity phase of LHC operations (HL-LHC), will feature a large increase in simultaneous proton-proton interactions per bunch crossing up to 200, compared with a typical leveling target of 64 in Run 3. Such an increase will create a very challenging environment in which to perform charged particle trajectory reconstruction, a task crucial for the success of the ATLAS physics program, and will exceed the capabilities of the current ATLAS Inner Detector (ID). A new all-silicon Inner Tracker (ITk) will replace the current ID in time for the start of the HL-LHC. To ensure successful use of the ITk capabilities in Run 4 and beyond, the ATLAS tracking software has been successfully adapted to achieve state-of-the-art track reconstruction in challenging high-luminosity conditions with the ITk detector. This paper presents the expected tracking performance of the ATLAS ITk based on the latest available developments since the ITk technical design reports. © 2025 Elsevier B.V., All rights reserved.</dc:description>
   <dc:date>2025-10-05T14:33:57Z</dc:date>
   <dc:date>2025</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>17480221</dc:identifier>
   <dc:identifier>https://doi.org/10.1088/1748-0221/20/02/P02018</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/6525</dc:identifier>
   <dc:identifier>10.1088/1748-0221/20/02/P02018</dc:identifier>
   <dc:identifier>2-s2.0-105001207995</dc:identifier>
   <dc:identifier>20</dc:identifier>
   <dc:identifier>2</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>Journal of Instrumentation</dc:relation>
   <dc:relation>All Open Access</dc:relation>
   <dc:relation>Green Accepted Open Access</dc:relation>
   <dc:relation>Green Open Access</dc:relation>
   <dc:relation>Hybrid Gold Open Access</dc:relation>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Institute of Physics</dc:publisher>
</oai_dc:dc>
</metadata></record><record><header><identifier>oai:acikerisim.bahcesehir.edu.tr:20.500.14719/19729</identifier><datestamp>2025-10-09T12:23:24Z</datestamp><setSpec>com_20.500.14719_1741</setSpec><setSpec>col_20.500.14719_2014</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Designing a power transfer system for the investigation of the magnetorheological characteristics of a magnetic fluid</dc:title>
   <dc:creator>Wang, Xuan</dc:creator>
   <dc:creator>Ali, Ali B. M.</dc:creator>
   <dc:creator>Singh, Narinderjit Singh Sawaran</dc:creator>
   <dc:creator>AL-Khafaji, Mohsin O.</dc:creator>
   <dc:creator>Abduvalieva, Dilsora</dc:creator>
   <dc:creator>Teimourimanesh, Navid</dc:creator>
   <dc:creator>Alhashemi, Mohammed Faris Shakir</dc:creator>
   <dc:creator>Salahshour, Soheil</dc:creator>
   <dc:creator>Hekmatifar, Maboud</dc:creator>
   <dc:contributor>Jiaxing Nanhu University</dc:contributor>
   <dc:contributor>University of Warith Alanbiyaa</dc:contributor>
   <dc:contributor>INTI International University</dc:contributor>
   <dc:contributor>Al-Mustaqbal University College</dc:contributor>
   <dc:contributor>Tashkent State Pedagogical University</dc:contributor>
   <dc:contributor>Islamic Azad University</dc:contributor>
   <dc:contributor>Al-Amarah University College</dc:contributor>
   <dc:contributor>Okan University</dc:contributor>
   <dc:contributor>Bahcesehir University</dc:contributor>
   <dc:contributor>Ministry of Education of Azerbaijan Republic</dc:contributor>
   <dc:contributor>Khazar University</dc:contributor>
   <dc:subject>Thermodynamics</dc:subject>
   <dc:subject>Mechanics</dc:subject>
   <dc:subject>Magnetic fluid</dc:subject>
   <dc:subject>Coupling</dc:subject>
   <dc:subject>Magnetic field</dc:subject>
   <dc:subject>Smart materials</dc:subject>
   <dc:subject>Bingham fluids</dc:subject>
   <dc:subject>Wall shear stress</dc:subject>
   <dc:subject>Ferrofluid</dc:subject>
   <dc:subject>Viscosity</dc:subject>
   <dc:description>This study explored the performance of magnetic fluids in couplings, focusing on optimizing torque and rotational transfer. It investigated how variations in mass fraction, oil film thickness, and cylinder diameter impacted the efficiency and torque transfer capabilities of the system. The research aimed to identify the optimal combination of these parameters for improved performance under magnetic field conditions. The study employed both experimental and numerical simulation methods. Cylinders with diameters of 80 mm, 105 mm, and 130 mm were tested to analyze the dynamics of fluid flow between internal and external cylinders. Numerical simulations predicted optimal system performance, and the results were validated through laboratory experiments. Key metrics included torque transfer, rotational velocity, oil film thickness, and shear stress applied to the cylinder walls. The findings show that reducing oil film thickness enhanced torque and rotational transfer. The 80 mm cylinder performed poorly at low mass fractions, while the 105 mm cylinder achieved effective performance at a 60 % mass fraction. The 130 mm cylinder demonstrated superior performance across all mass fractions due to its thinner oil film and higher shear stress. However, torque transfer plateaued at magnetic field intensities above 0.33 T, indicating limitations in system control. In conclusion, optimizing mass fraction and cylinder diameter enabled significant improvements in torque and rotational transfer. The system achieved a maximum torque of 2.75 N.m and a peak rotational speed of 820 rpm with a 130 mm cylinder at a 60 % mass fraction.</dc:description>
   <dc:date>2025-10-09T12:23:23Z</dc:date>
   <dc:date>2025</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>0735-1933</dc:identifier>
   <dc:identifier>1879-0178</dc:identifier>
   <dc:identifier>http://dx.doi.org/10.1016/j.icheatmasstransfer.2025.108789</dc:identifier>
   <dc:identifier>https://hdl.handle.net/20.500.14719/19729</dc:identifier>
   <dc:identifier>10.1016/j.icheatmasstransfer.2025.108789</dc:identifier>
   <dc:identifier>163</dc:identifier>
   <dc:identifier>Science Citation Index Expanded (SCI-EXPANDED)</dc:identifier>
   <dc:identifier>WOS:001435135900001</dc:identifier>
   <dc:language>en</dc:language>
   <dc:relation>INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER</dc:relation>
   <dc:relation>Zhejiang Provincial Department of Education's Higher Education Industry-Education Integration Practice Project [202107175]</dc:relation>
   <dc:relation>Ministry of Education's Industry-University Cooperation Collaborative Education Project Construction of Communication and Electronic Experiment Training Base [202101220021]</dc:relation>
   <dc:relation>Zhejiang Provincial Department of Education's Higher Education Industry-Education Integration Practice Project</dc:relation>
   <dc:relation>Ministry of Education's Industry-University Cooperation Collaborative Education Project Construction of Communication and Electronic Experiment Training Base</dc:relation>
   <dc:relation>Zhejiang Provincial Department of Educations Higher Education Industry-Education Integration Practice Project Exploration of Collab-orative Construction of EMS Talent Base Based on Industry-Education Integration (202107175) . Ministry of Educations Industry-University Cooperation Collaborative Education Project Construction of Communication and Electronic Experiment Training Base (202101220021) .</dc:relation>
   <dc:publisher>PERGAMON-ELSEVIER SCIENCE LTD</dc:publisher>
</oai_dc:dc>
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