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Publication Metadata only Response to My Criticism Article Titled The Claim That the Edirne Badi Efendi Chronicle Is the 'First Anonymous Chronicle' and Some Considerations on Negri(ISTANBUL 29 MAYIS UNIV & ISAM, 2024) Ozturk, Necdet; Bahcesehir UniversityPublication Metadata only Exploring treatment options for pediatric refractory chronic urticaria(TAYLOR & FRANCIS LTD, 2025) Kostara, Maria; Kosmeri, Chrysoula; Kocatuerk, Emek; Alvaro-Lozano, Montserrat; Barbaud, Annick; Tsabouri, Sophia; University of Ioannina; University Hospital Ioannina; Free University of Berlin; Humboldt University of Berlin; Charite Universitatsmedizin Berlin; Free University of Berlin; Humboldt University of Berlin; Bahcesehir University; University of Barcelona; University of Barcelona; Assistance Publique Hopitaux Paris (APHP); Sorbonne Universite; Hopital Universitaire Tenon - APHP; Institut National de la Sante et de la Recherche Medicale (Inserm)IntroductionUrticaria is an inflammatory skin condition characterized by pruritic wheals, angioedema, or both. The global lifetime prevalence of chronic urticaria (CU) is estimated at 1.4%, with a slightly higher prevalence in children than adults. Although CU is not life-threatening, it significantly affects children's quality of life, affecting sleep, daily activities, and emotional well-being.Areas coveredWhile many cases remit over time, a subset of children experiences refractory CU, which does not respond to standard or high-dose antihistamines. Treatment follows a stepwise approach, with second-generation H1-antihistamines, including dose escalation, as the first-line therapy. Omalizumab, a monoclonal anti-IgE antibody, is recommended for antihistamine-refractory cases. Other options include cyclosporine A and short-term corticosteroids for severe exacerbations. Emerging therapies, including dupilumab, Bruton's tyrosine kinase inhibitors, and barzolvolimab, show promise for refractory cases but require further research in pediatric populations.Expert opinionA stepwise treatment approach for pediatric refractory CU is presented in this review. Given its chronic nature and treatment challenges, ongoing research is crucial to optimize management strategies and improve patient outcomes.Publication Metadata only Combating Phytopathogens by Integration of Metagenomics and Phototrophic Biotechnologies: Toward Sustainable Agricultural Practices(TAYLOR & FRANCIS INC, 2025) Sadvakasova, Assemgul K.; Kossalbayev, Bekzhan D.; Zaletova, Dilnaz; Bauenova, Meruyert O.; Huang, Zhiyong; Zharmukhamedov, Sergey K.; Shabala, Sergey; Allakhverdiev, Suleyman I.; Al-Farabi Kazakh National University; Satbayev University; Satbayev University; Akhmet Yassawi International Kazakh-Turkish University; Chinese Academy of Sciences; Tianjin Institute of Industrial Biotechnology, CAS; Russian Academy of Sciences; University of Western Australia; Timiryazev Institute of Plant Physiology; Bahcesehir UniversityRising global food demand amid climate change presents unprecedented challenges for modern agriculture. The spread of phytopathogens and the degradation of agroecosystems necessitate the development of innovative plant protection solutions. Traditional chemical pesticides are losing their effectiveness due to the emergence of resistant pathogens and their adverse environmental impacts, thereby intensifying interest in biological control methods. This study examines the integration of metagenomic analysis and phototrophic biotechnology as a promising approach to biocontrol. Metagenomics enables the precise identification of phytopathogens and beneficial microorganisms, laying the groundwork for the development of targeted biopesticides. Phototrophic microorganisms, including microalgae and cyanobacteria, exhibit antimicrobial properties and contribute to the restoration of soil ecosystems. The convergence of these technologies offers opportunities to form adaptive microbial consortia that ensure the long-term sustainability of agroecosystems. The paper discusses key challenges, including data processing complexities, the scalability of technologies, and regulatory barriers, and underscores the need for standardized methodologies and interdisciplinary collaboration. The integration of metagenomics and phototrophic biotechnology represents a promising direction for creating environmentally safe and sustainable agricultural production systems.Publication Metadata only Spectral insights: Navigating the frontiers of biomedical and microbiological exploration with Raman spectroscopy(ELSEVIER SCIENCE SA, 2024) Allakhverdiev, Elvin S.; Kossalbayev, Bekzhan D.; Sadvakasova, Asemgul K.; Bauenova, Meruyert O.; Belkozhayev, Ayaz M.; Rodnenkov, Oleg, V; Martynyuk, Tamila, V; Maksimov, Georgy, V; Allakhverdiev, Suleyman I.; National Medical Research Center of Cardiology; Lomonosov Moscow State University; Akhmet Yassawi International Kazakh-Turkish University; Chinese Academy of Sciences; Tianjin Institute of Industrial Biotechnology, CAS; Al-Farabi Kazakh National University; Satbayev University; Satbayev University; Aitkhozhin Institute of Molecular Biology & Biochemistry; Timiryazev Institute of Plant Physiology; Russian Academy of Sciences; Bahcesehir UniversityRaman spectroscopy (RS), a powerful analytical technique, has gained increasing recognition and utility in the fields of biomedical and biological research. Raman spectroscopic analyses find extensive application in the field of medicine and are employed for intricate research endeavors and diagnostic purposes. Consequently, it enjoys broad utilization within the realm of biological research, facilitating the identification of cellular classifications, metabolite profiling within the cellular milieu, and the assessment of pigment constituents within microalgae. This article also explores the multifaceted role of RS in these domains, highlighting its distinct advantages, acknowledging its limitations, and proposing strategies for enhancement.Publication Metadata only MicroRNAs in Plant Genetic Regulation of Drought Tolerance and Their Function in Enhancing Stress Adaptation(MDPI, 2025) Zhakypbek, Yryszhan; Belkozhayev, Ayaz M.; Kerimkulova, Aygul; Kossalbayev, Bekzhan D.; Murat, Toktar; Tursbekov, Serik; Turysbekova, Gaukhar; Tursunova, Alnura; Tastambek, Kuanysh T.; Allakhverdiev, Suleyman I.; Satbayev University; Satbayev University; Al-Farabi Kazakh National University; Akhmet Yassawi International Kazakh-Turkish University; Al-Farabi Kazakh National University; Uspanov Kazakh Research Institute of Soil Science & Agrochemistry; Satbayev University; Kazakh Scientific Research Institute of Plant Protection & Quarantine of Zh.Zhienbaev; Lomonosov Moscow State University; Russian Academy of Sciences; Timiryazev Institute of Plant Physiology; Bahcesehir UniversityAdverse environmental conditions, including drought stress, pose a significant threat to plant survival and agricultural productivity, necessitating innovative and efficient approaches to enhance their resilience. MicroRNAs (miRNAs) are recognized as key elements in regulating plant adaptation to drought stress, with a notable ability to modulate various physiological and molecular mechanisms. This review provides an in-depth analysis of the role of miRNAs in drought response mechanisms, including abscisic acid (ABA) signaling, reactive oxygen species (ROS) detoxification, and the optimization of root system architecture. Additionally, it examines the effectiveness of bioinformatics tools, such as those employed in in silico analyses, for studying miRNA-mRNA interactions, as well as the potential for their integration with experimental methods. Advanced methods such as microarray analysis, high-throughput sequencing (HTS), and RACE-PCR are discussed for their contributions to miRNA target identification and validation. Moreover, new data and perspectives are presented on the role of miRNAs in plant responses to abiotic stresses, particularly drought adaptation. This review aims to deepen the understanding of genetic regulatory mechanisms in plants and to establish a robust scientific foundation for the development of drought-tolerant crop varieties.Publication Metadata only A comprehensive review of data analytics and storage methods in geothermal energy operations(ELSEVIER, 2025) Basem, Ali; Al-Nussairi, Ahmed Kateb Jumaah; Khidhir, Dana Mohammad; Singh, Narinderjit Singh Sawaran; Baghoolizadeh, Mohammadreza; Fazilati, Mohammad Ali; Salahshour, Soheil; Sajadi, S. Mohammad; Hasanabad, Ali Mohammadi; University of Warith Alanbiyaa; University of Manara; Knowledge University; INTI International University; Shahrekord University; Islamic Azad University; Okan University; Bahcesehir University; Ministry of Education of Azerbaijan Republic; Khazar UniversityGeothermal energy storage (GES) systems are thoroughly examined in this research, with a focus on methods like borehole thermal energy storage (BTES), underground thermal energy storage (UTES), and aquifer thermal energy storage (ATES). It highlights the importance of thermal energy storage (TES) systems in addressing global energy challenges. The feasibility of UTES for large-scale energy storage and its integration with geothermal power plants is investigated. The ATES, with the advantage of large storage capacity and low operating costs has could be employed in regions with suitable aquifers. The adaptability of BTES to different ground conditions and its small land footprint made it a spotlight for the researchers. The study emphasizes the role of TES technologies in meeting the growing demand for renewable energy, reducing the impact of climate change, and providing efficient energy solutions for heating, ventilating, and air conditioning. HVAC systems. Also, the application of geothermal power plants and TES systems in decreasing the dependence on nonrenewable energy sources and increasing energy efficiency increase investigated. The development of reliable and affordable sensors, together with improvements in processing power, has made data-intensive algorithms and real-time operational decision-making applications in the field of geothermal energy. The study also delves into the potential of machine learning to optimize geothermal design, monitor performance, improve performance, find errors, and more. It was shown that artificial neural networks were the most common kind of trained model, while several other models were often used as benchmarks for performance. Picture selection, systematic time series feature engineering and model evaluation were all areas that showed a lot of promise in the systematic review for future research and practical applications.Publication Metadata only Managing Urticarial Vasculitis: A Clinical Decision-Making Algorithm Based on Expert Consensus(ADIS INT LTD, 2025) Rothermel, Nikolai Dario; Ayala, Carolina Vera; Goncalo, Margarida; Fok, Jie Shen; Herzog, Leonie Shirin; Kocatuerk, Emek; Neisinger, Sophia; Pereira, Manuel P.; Podder, Indrashis; Pyatilova, Polina; Ramanauskaite, Aiste; Munoz, Melba; Krause, Karoline; Maurer, Marcus; Bonnekoh, Hanna; Kolkhir, Pavel; Free University of Berlin; Humboldt University of Berlin; Charite Universitatsmedizin Berlin; Humboldt University of Berlin; Free University of Berlin; Charite Universitatsmedizin Berlin; Berlin Institute of Health; Universidade de Coimbra; Universidade de Coimbra; Centro Hospitalar e Universitario de Coimbra (CHUC); Eastern Health; Box Hill Hospital; Monash University; Monash University; Bahcesehir UniversityUrticarial vasculitis (UV) is a rare and difficult-to-treat, small-vessel leukocytoclastic vasculitis presenting with recurrent long-lasting wheals. So far, no guidelines and treatment algorithms exist that could help clinicians with the management of UV. In this review, we describe evidence on systemic treatments used for UV and propose a clinical decision-making algorithm for UV management based on the Urticarial Vasculitis Activity Score assessed for 7 days (UVAS7). Patients with occasional UV-like urticarial lesions and patients with UV with skin-limited manifestations and/or mild arthralgia/malaise (total UVAS7 <= 7 of 70) can be initially treated using the step-wise algorithm for chronic urticaria including second-generation H1-antihistamines, omalizumab, and cyclosporine A. Patients with UV with more severe symptoms (UVAS7 >7), especially those with hypocomplementemic UV, may require a multidisciplinary approach, particularly if underlying diseases, for example, systemic lupus erythematosus, cancer, or infection, are present. Immunomodulatory therapy is based on clinical signs and symptoms, and the drug availability and safety profile, and includes systemic corticosteroids, dapsone, hydroxychloroquine, anti-interleukin-1 agents, and other therapies. The level of evidence for all UV treatments is low. Prospective studies with current and novel drugs are needed and could provide further insights into UV pathogenesis and treatment.Publication Metadata only Development and Transfer of Microbial Agrobiotechnologies in Contrasting Agrosystems: Experience of Kazakhstan and China(MDPI, 2025) Nygymetova, Aimeken M.; Sadvakasova, Assemgul K.; Zaletova, Dilnaz E.; Kossalbayev, Bekzhan D.; Bauenova, Meruyert O.; Wang, Jingjing; Huang, Zhiyong; Sarsekeyeva, Fariza K.; Kirbayeva, Dariga K.; Allakhverdiev, Suleyman I.; Al-Farabi Kazakh National University; Chinese Academy of Sciences; Tianjin Institute of Industrial Biotechnology, CAS; Bahcesehir University; Russian Academy of Sciences; Russian Academy of Sciences; Timiryazev Institute of Plant PhysiologyThe development and implementation of microbial consortium-based biofertilizers represent a promising direction in sustainable agriculture, particularly in the context of the ongoing global ecological and agricultural crisis. This article examines the agroecological and economic impacts of applying microbial consortiums and explores the mechanisms of technology transfer using the example of two countries with differing levels of scientific and technological advancement-China and Kazakhstan. The analysis of the Chinese experience reveals that the successful integration of microbial biofertilizers into agricultural practice is made possible by a well-established institutional framework that includes strong governmental support for R&D, a robust scientific infrastructure, and effective coordination with the private sector. In contrast, Kazakhstan, despite its favorable agroecological conditions and growing interest among farmers in environmentally friendly technologies, faces several challenges from limited funding to a fragmented technology transfer system. The comparative study demonstrates that adapting Chinese models requires consideration of local specificities and the strengthening of intergovernmental cooperation. The article concludes by emphasizing the need to establish a multi-level innovation ecosystem encompassing the entire cycle of development and deployment of microbial biofertilizers, as a prerequisite for improving agricultural productivity and ensuring food security in countries at different stages of economic development.Publication Metadata only Heat transfer enhancement of phase change materials using tree shaped fins: A comprehensive review(PERGAMON-ELSEVIER SCIENCE LTD, 2025) Rashid, Farhan Lafta; Dhaidan, Nabeel S.; Mahdi, Ali Jafer; Kadhim, Saif Ali; Hammoodi, Karrar A.; Al-Obaidi, Mudhar A.; Mohammed, Hayder I.; Ahmad, Shabbir; Salahshour, Soheil; Agyekum, Ephraim Bonah; University of Kerbala; University of Kerbala; Al-Zahraa University for Women; University of Technology- Iraq; University of Warith Alanbiyaa; Middle Technical University; Middle Technical University; University of Garmian; Universidade Federal do Rio Grande; China University of Geosciences; Okan University; Ural Federal University; Applied Science University - Jordan; Tashkent State University of Economics; Piri Reis University; Bahcesehir UniversityThe efficiency of thermal energy storage is essential in phase change material (PCM) systems. Many traditional configurations of fins, such as radial, rectangular, and pin fins, have yet to be found lacking in how they facilitate heat transfer at charging and discharging processes, causing more extended phase change periods and decreasing the entire system's efficiency. This review seeks to fill the gap in thermal performance improvement and categorizes the existing literature related to melting, solidification, and a combination of both melting and solidification processes. Scientific research carried out in the melting section shows that tree-shaped fins have the potential to cut down melting time by 60 % compared to conventional fins and thereby significantly improve the ability to store energy. The solidification section highlights that such revolutionary fin configurations can reduce solidification time by 30 to 50 %, thus improving the system's performance. Additionally, the synchronized analysis of the trees proves that while the tree fins enhance the distribution of heat all over the trees, they also enhance the natural convection, improving the uniformity of temperatures and the effectiveness of phase change. The outcomes reveal that even though tree-shaped fins are capital-intensive, their low operating costs and higher efficiency leverage initial costs. Incorporating tree-shaped fins in the PCM system is a novel step in enhancing thermal energy storage systems with significant enhancement of solidification and melting in thermal management applications, which are crucial challenges to energy efficiency and sustainability.Publication Metadata only Machine learning based algorithms for virtual early detection and screening of neurodegenerative and neurocognitive disorders: a systematic-review(FRONTIERS MEDIA SA, 2024) Yousefi, Milad; Akhbari, Matin; Mohamadi, Zhina; Karami, Shaghayegh; Dasoomi, Hediyeh; Atabi, Alireza; Sarkeshikian, Seyed Amirali; Dehaki, Mahdi Abdoullahi; Bayati, Hesam; Mashayekhi, Negin; Varmazyar, Shirin; Rahimian, Zahra; Asadi Anar, Mahsa; Shafiei, Daniel; Mohebbi, Alireza; Shahid Beheshti University; Istanbul Yeni Yuzyil University; Kermanshah University of Medical Sciences; Tehran University of Medical Sciences; Ahvaz Jundishapur University of Medical Sciences (AJUMS); Ahvaz Jundishapur University of Medical Sciences (AJUMS); Shahid Beheshti University Medical Sciences; Shahid Beheshti University Medical Sciences; Bahcesehir University; Shahroud University Medical Sciences; Shiraz University of Medical Science; Shahid Beheshti University Medical Sciences; Shahid Beheshti University Medical Sciences; Ardabil University of Medical SciencesBackground and aim Neurodegenerative disorders (e.g., Alzheimer's, Parkinson's) lead to neuronal loss, neurocognitive disorders (e.g., delirium, dementia) show cognitive decline. Early detection is crucial for effective management. Machine learning aids in more precise disease identification, potentially transforming healthcare. This comprehensive systematic review discusses how machine learning (ML), can enhance early detection of these disorders, surpassing traditional diagnostics' constraints. Methods In this review, databases were examined up to August 15th, 2023, for ML data on neurodegenerative and neurocognitive diseases using PubMed, Scopus, Google Scholar, and Web of Science. Two investigators used the RAYYAN intelligence tool for systematic reviews to conduct the screening. Six blinded reviewers reviewed titles/abstracts. Cochrane risk of bias tool was used for quality assessment. Results Our search found 7,069 research studies, of which 1,365 items were duplicates and thus removed. Four thousand three hundred and thirty four studies were screened, and 108 articles met the criteria for inclusion after preprocessing. Twelve ML algorithms were observed for dementia, showing promise in early detection. Eighteen ML algorithms were identified for Parkinson's, each effective in detection and diagnosis. Studies emphasized that ML algorithms are necessary for Alzheimer's to be successful. Fourteen ML algorithms were discovered for mild cognitive impairment, with LASSO logistic regression being the only one with unpromising results. Conclusion This review emphasizes the pressing necessity of integrating verified digital health resources into conventional medical practice. This integration may signify a new era in the early detection of neurodegenerative and neurocognitive illnesses, potentially changing the course of these conditions for millions globally. This study showcases specific and statistically significant findings to illustrate the progress in the area and the prospective influence of these advancements on the global management of neurocognitive and neurodegenerative illnesses.