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Publication Metadata only A comprehensive model of simultaneous denitrification and methanogenic fermentation processes(2010) Tugtas, Adile Evren; Tezel, Ulaş; Pavlostathis, Spyros G.; Tugtas, Adile Evren, Department of Environmental Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey; Tezel, Ulaş, College of Engineering, Atlanta, United States; Pavlostathis, Spyros G., College of Engineering, Atlanta, United StatesThe denitrification process was incorporated into the IWA Anaerobic Digestion Model No. 1 (ADM1) in order to account for the effect of denitrification on the methanogenic fermentation process. The model was calibrated and optimized using previously published experimental data and kinetic parameter values obtained with a mixed, mesophilic (358C) methanogenic culture. Model simulations were used to predict the effect of nitrate reduction on the methanogenic fermentation process in batch, semi-continuous, and continuous flow reactors experiencing operational changes and/or system disturbances. The extended model clearly revealed the importance of substrate competition between denitrifiers and non-denitrifiers as well as the impact of N-oxide inhibition on process interactions between fermentation, methanogenesis, and denitrification. © 2009 Wiley Periodicals, Inc. © 2010 Elsevier B.V., All rights reserved., MEDLINE® is the source for the MeSH terms of this document.Publication Open Access Full analytical model for obtaining surface plasmon resonance modes of metal nanoparticle structures embedded in layered media(Optical Society of American (OSA) info@osa.org, 2010) Şimşek, Ergün; Ŝimŝek, Ergün, Department of Electrical and Electronic Engineering, Bahçeşehir Üniversitesi, Istanbul, TurkeyThis work addresses the need for a fully-retarded theoretical model for surface plasmons on metal nanoparticle chains and arrays embedded in a multilayered medium. The proposed method uses dyadic layered medium Green's functions not only to obtain the electric field created by an oscillating electric dipole but also to modify the polarizability of nanoparticles in a multilayered medium appropriately. Theoretically calculated resonance frequencies show a very good agreement with the experimental results found in the literature. Theoretical results suggest that surface plasmon propagation lengths of 1 μm are possible using silver or gold nanoparticles embedded in a multilayered medium. © 2010 Optical Society of America. © 2014 Elsevier B.V., All rights reserved.Publication Metadata only Information system design for a hospital emergency department: A usability analysis of software prototypes(2010) Karahoca, Adem; Bayraktar, Erkan; Tatoglu, Ekrem; Karahoca, Dilek Yiğit; Karahoca, Adem, Faculty of Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey; Bayraktar, Erkan, Faculty of Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey; Tatoglu, Ekrem, Faculty of Economics and Administrative Sciences, Bahçeşehir Üniversitesi, Istanbul, Turkey; Karahoca, Dilek Yiğit, Faculty of Engineering, Bahçeşehir Üniversitesi, Istanbul, TurkeyStudy objective: The purpose of this study is to evaluate the usability of emergency department (ED) software prototypes developed for Tablet personal computers (Tablet PCs) in order to keep electronic health records (EHRs) of patients errorless and accessible through mobile technologies. In order to serve this purpose, two alternative prototypes were developed for Tablet PCs: Mobile Emergency Department Software (MEDS) and Mobile Emergency Department Software Iconic (MEDSI) among which the user might choose the more appropriate one for ED operations based on a usability analysis involving the target users. Methods: The study is based on a case study of 32 potential users of our prototypes at the ED of Kadikoy-AHG in Istanbul, Turkey. We examined usability of the prototypes for medical information systems by means of Nielsen's heuristic evaluation and cognitive walkthrough methods relying on 7-point scales, and scenario completion success rate and average scenario completion time, respectively. Results: The implementation of MEDSI in our case study confirmed the view that the usability evaluation results of iconic GUIs were better than those of non-iconic GUIs in terms of Nielsen's heuristic evaluation, effectiveness and user satisfaction. For the whole sample, paired t-test scores indicated that there was a significant difference (p < 0.01) between mean values of Nielsen's usability scores toward MEDS and MEDSI indicating that MEDSI was evaluated more favorably than MEDS. As for effectiveness of the prototypes, significant differences (p < 0.01) were noted between MEDS and MEDSI in terms of both overall scenario completion success rate and average scenario completion time. Similarly, for the full sample of users independent sample t-test scores indicated that MEDSI was perceived significantly more favorable (p < 0.01) than MEDS in terms of overall user satisfaction. Conclusion: The study provides two important contributions to the extant literature. First, it addresses a topic and methodology that serves potentially interesting to the biomedical informatics community. Drawing on good background information and appropriate context, it involves various aspects of usability testing. Another contribution of the study lies in its examination of two different prototypes during the design phase involving the target users. © 2009 Elsevier Inc. All rights reserved. © 2010 Elsevier B.V., All rights reserved., MEDLINE® is the source for the MeSH terms of this document.Publication Metadata only Classification of the colonic polyps in CT-colonography using region covariance as descriptor features of suspicious regions(2010) Kılıç, Niyazi; Kursun, Olcay; Uçan, Osman Nuri; Kılıç, Niyazi, Department of Electrical and Electronics Engineering, Istanbul Üniversitesi, Istanbul, Turkey; Kursun, Olcay, Department of Electrical and Electronics Engineering, Istanbul Üniversitesi, Istanbul, Turkey; Uçan, Osman Nuri, Department of Computer Engineering, Bahçeşehir Üniversitesi, Istanbul, TurkeyWe present an algorithm to classify polyps in CT colonography images utilizing covariance matrices as object descriptors. Since these descriptors do not lie on a vector space, they cannot simply be fed to traditional machine learning tools such as support vector machines (SVMs) or artificial neural networks (ANNs). To benefit from the simple yet one of the most powerful nonparametric machine learning approach k-nearest neighbor classifier, it suffices to compute the pairwise distances among the covariance descriptors using a distance metric involving their generalized eigenvalues, which also follows from the Lie group structure of positive definite matrices. This approach is fast and discriminates polyps from non-polyps with high accuracy using only a small size descriptor, which consists of 36 unique features per image region extracted from the suspicious regions that we have obtained by combined cellular neural network (CNN) and template matching detection method. These suspicious regions are, in average, 15 × 17 = 255 pixels in our experiments. © Springer Science + Business Media, LLC 2008. © 2010 Elsevier B.V., All rights reserved., MEDLINE® is the source for the MeSH terms of this document.Publication Open Access An occlusion insensitive adaptive focus measurement method(Optical Society of American (OSA) info@osa.org, 2010) Aydın, Tarkan; Akgül, Yusuf Sinan; Aydin, Tarkan, Department of Computer Engineering, Gebze Teknik Üniversitesi, Gebze, Turkey, Department of Mathematics and Computer Science, Bahçeşehir Üniversitesi, Istanbul, Turkey; Akgül, Yusuf Sinan, Department of Computer Engineering, Gebze Teknik Üniversitesi, Gebze, TurkeyThis paper proposes a new focus measurement method for Depth From Focus to recover depth of scenes. The method employs an all-focused image of the scene to address the focus measure ambiguity problem of the existing focus measures in the presence of occlusions. Depth discontinuities are handled effectively by using adaptively shaped and weighted support windows. The size of the support window can be increased conveniently for more robust depth estimation without introducing any window size related Depth From Focus problems. The experiments on the real and synthetically refocused images show that the introduced focus measurement method works effectively and efficiently in real world applications. © 2010 Optical Society of America. © 2014 Elsevier B.V., All rights reserved.Publication Metadata only Telediagnosis of parkinson's disease using measurements of dysphonia(2010) Sakar, C. Okan; Kursun, Olcay; Sakar, C. Okan, Department of Computer Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey; Kursun, Olcay, Department of Computer Engineering, Bahçeşehir Üniversitesi, Istanbul, TurkeyParkinson's disease (PD) is a neurological illness which impairs motor skills, speech, and other functions such as mood, behavior, thinking, and sensation. It causes vocal impairment for approximately 90% of the patients. As the symptoms of PD occur gradually and mostly targeting the elderly people for whom physical visits to the clinic are inconvenient and costly, telemonitoring of the disease using measurements of dysphonia (vocal features) has a vital role in its early diagnosis. Such dysphonia features extracted from the voice come in variety and most of them are interrelated. The purpose of this study is twofold: (1) to select a minimal subset of features with maximal joint relevance to the PD-score, a binary score indicating whether or not the sample belongs to a person with PD, and (2) to build a predictive model with minimal bias (i.e. to maximize the generalization of the predictions so as to perform well with unseen test examples). For these tasks, we apply the mutual information measure with the permutation test for assessing the relevance and the statistical significance of the relations between the features and the PD-score, rank the features according to the maximum-relevance-minimum-redundancy (mRMR) criterion, use a Support Vector Machine (SVM) for building a classification model and test it with a more suitable cross-validation scheme that we called leave-one-individual-out that fits with the dataset in hand better than the conventional bootstrapping or leave-one-out validation methods. © 2009 Springer Science+Business Media, LLC. © 2010 Elsevier B.V., All rights reserved., MEDLINE® is the source for the MeSH terms of this document.Publication Open Access Obtaining better quality final clustering by merging a collection of clusterings(2010) Mimaroglu, Selim N.; Erdil, Ertunç; Mimaroglu, Selim N., Department of Computer Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey; Erdil, Ertunç, Department of Computer Engineering, Bahçeşehir Üniversitesi, Istanbul, TurkeyMotivation: Clustering methods including k-means, SOM, UPGMA, DAA, CLICK, GENECLUSTER, CAST, DHC, PMETIS and KMETIS have been widely used in biological studies for gene expression, protein localization, sequence recognition and more. All these clustering methods have some benefits and drawbacks. We propose a novel graph-based clustering software called COMUSA for combining the benefits of a collection of clusterings into a final clustering having better overall quality. Results: COMUSA implementation is compared with PMETIS, KMETIS and k-means. Experimental results on artificial, real and biological datasets demonstrate the effectiveness of our method. COMUSA produces very good quality clusters in a short amount of time. © The Author 2010. Published by Oxford University Press. All rights reserved. © 2011 Elsevier B.V., All rights reserved.Publication Open Access Whole-exome sequencing identifies recessive WDR62 mutations in severe brain malformations(2010) Bilgüvar, Kaya; Öztürk, Ali Kemal; Louvi, Angeliki; Kwan, Kenneth Y.; Choi, Murim; Tatlí, Burak; Yalnizoǧlu, Dilek; Tüysüz, Beyhan; Caglayan, Ahmet Okay; Gökben, Sarenur; Bilgüvar, Kaya, Department of Neurosurgery, Yale School of Medicine, New Haven, United States, Department of Neurobiology, Yale School of Medicine, New Haven, United States, Department of Genetics, Yale School of Medicine, New Haven, United States; Öztürk, Ali Kemal, Department of Neurosurgery, Yale School of Medicine, New Haven, United States, Department of Neurobiology, Yale School of Medicine, New Haven, United States, Department of Genetics, Yale School of Medicine, New Haven, United States; Louvi, Angeliki, Department of Neurosurgery, Yale School of Medicine, New Haven, United States, Department of Neurobiology, Yale School of Medicine, New Haven, United States, Department of Genetics, Yale School of Medicine, New Haven, United States; Kwan, Kenneth Y., Department of Neurobiology, Yale School of Medicine, New Haven, United States, Kavli Institute for Neuroscience, Yale School of Medicine, New Haven, United States; Choi, Murim, Department of Genetics, Yale School of Medicine, New Haven, United States; Tatlí, Burak, Department of Pediatrics, İstanbul Tıp Fakültesi, Istanbul, Turkey; Yalnizoǧlu, Dilek, Department of Pediatrics, Hacettepe Üniversitesi, Ankara, Turkey; Tüysüz, Beyhan, Department of Pediatrics, İstanbul University-Cerrahpaşa Cerrahpaşa Faculty of Medicine, Istanbul, Turkey; Caglayan, Ahmet Okay,; Gökben, Sarenur, Department of Pediatrics, Ege University Medical School, Izmir, TurkeyThe development of the human cerebral cortex is an orchestrated process involving the generation of neural progenitors in the periventricular germinal zones, cell proliferation characterized by symmetric and asymmetric mitoses, followed by migration of post-mitotic neurons to their final destinations in six highly ordered, functionally specialized layers1,2. An understanding of the molecular mechanisms guiding these intricate processes is in its infancy, substantially driven by the discovery of rare mutations that cause malformations of cortical development3-6. Mapping of disease loci in putative Mendelian forms of malformations of cortical development has been hindered by marked locus heterogeneity, small kindred sizes and diagnostic classifications that may not reflect molecular pathogenesis. Here we demonstrate the use of whole-exome sequencing to overcome these obstacles by identifying recessive mutations in WD repeat domain 62 (WDR62) as the cause of a wide spectrum of severe cerebral cortical malformations including microcephaly, pachygyria with cortical thickening as well as hypoplasia of the corpus callosum. Some patients with mutations in WDR62 had evidence of additional abnormalities including lissencephaly, schizencephaly, polymicrogyria and, in one instance, cerebellar hypoplasia, all traits traditionally regarded as distinct entities. In mice and humans, WDR62 transcripts and protein are enriched in neural progenitors within the ventricular and subventricular zones. Expression of WDR62 in the neocortex is transient, spanning the period of embryonic neurogenesis. Unlike other known microcephaly genes, WDR62 does not apparently associate with centrosomes and is predominantly nuclear in localization. These findings unify previously disparate aspects of cerebral cortical development and highlight the use of whole-exome sequencing to identify disease loci in settings in which traditional methods have proved challenging. © 2010 Macmillan Publishers Limited. All rights reserved. © 2012 Elsevier B.V., All rights reserved., MEDLINE® is the source for the MeSH terms of this document.Publication Metadata only Coupled nonparametric shape and moment-based intershape pose priors for multiple basal ganglia structure segmentation(2010) Uzunbaş, Mustafa Gökhan; Soldea, Octavian; Ünay, Devrim; Çetin, Müjdat; Unal, Gozde Bozkurt; Erçil, Aytül; Ekin, Ahmet; Uzunbaş, Mustafa Gökhan, Faculty of Engineering and Natural Sciences, Sabancı Üniversitesi, Tuzla, Turkey, Department of Computer Science, Piscataway, United States; Soldea, Octavian, Faculty of Engineering and Natural Sciences, Sabancı Üniversitesi, Tuzla, Turkey; Ünay, Devrim, Department of Electrical and Electronic Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey; Çetin, Müjdat, Faculty of Engineering and Natural Sciences, Sabancı Üniversitesi, Tuzla, Turkey; Unal, Gozde Bozkurt, Faculty of Engineering and Natural Sciences, Sabancı Üniversitesi, Tuzla, Turkey; Erçil, Aytül, Faculty of Engineering and Natural Sciences, Sabancı Üniversitesi, Tuzla, Turkey; Ekin, Ahmet, Video Processing and Analysis Group, Philips Research, Eindhoven, NetherlandsThis 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.Publication Metadata only Investigations of zero-field splitting (ZFS) and local distortion parameters of ZnAl2S4:Mn2+ by theoretical analysis(2011) Aikgöz, Muhammed; Aikgöz, Muhammed, Faculty of Arts and Sciences, Bahçeşehir Üniversitesi, Istanbul, TurkeyFourth-order perturbation formula on the basis of the dominant spin-orbit coupling mechanism is employed to investigate the local environment around Mn2+ centers in ZnAl2S4 single crystals. The zero-field splitting (ZFS) parameter D is calculated for the Mn2+ ions at the Al3+ site with local symmetry D3d using the different orbital reduction factors. Both the contributions of the lattice distortions to the crystal-field (CF) parameters and the D are examined by means of different cases. The comparison between the calculated results in this study and the previous experimental and theoretical values reveals a good agreement and reasonable distortion parameters for Mn2+ ions at Al3+ sites. © 2010 Elsevier B.V. All rights reserved. © 2011 Elsevier B.V., All rights reserved., MEDLINE® is the source for the MeSH terms of this document.