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Publication Metadata only Screening of anxiety and quality of life in people with epilepsy(W B SAUNDERS CO LTD, 2017) Gur-Ozmen, Selen; Leibetseder, Annette; Cock, Hannah R.; Agrawal, Niruj; von Oertzen, Tim J.; City St Georges, University of London; Bahcesehir University; City St Georges, University of LondonPurpose: Up to 60% of people with epilepsy (PwE) have psychiatric comorbidity including anxiety. Anxiety remains under recognized in PwE. This study investigates if screening tools validated for depression could be used to detect anxiety disorders in PWE. Additionally it analyses the effect of anxiety on QoL. Method: 261 participants with a confirmed diagnosis of epilepsy were included. Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) and Emotional Thermometers (ET), both validated to screen for depression were used. Hospital Anxiety and Depression Scale-Anxiety (HADS-A) with a cut off for moderate and severe anxiety was used as the reference standard. QoL was measured with EQ5-D. Sensitivity, specificity, positive and negative predictive value and ROC analysis as well as multivariate regression analysis were performed. Results: Patients with depression (n=46) were excluded as multivariate regression analysis showed that depression was the only significant determinant of having anxiety in the group. Against HADS-A, NDDI-E and ET-7 showed highest level of accuracy in recognizing anxiety with ET7 being the most effective tool. QoL was significantly reduced in PwE and anxiety. Conclusion: Our study showed that reliable screening for moderate to severe anxiety in PwE without co-morbid depression is feasible with screening tools for depression. The cut off values for anxiety are different from those for depression in ET7 but very similar in NDDI-E. ET7 can be applied to screen simultaneously for depression and pure anxiety. Anxiety reduces significantly QoL. We recommend screening as an initial first step to rule out patients who are unlikely to have anxiety. (C) 2016 British Epilepsy Association. Published by Elsevier Ltd. All rights reserved.Publication Metadata only Fluorine determination in human and animal bones by particle-induced gamma-ray emission(Springer Verlag, 2001) Sastri, Chaturvedula S.; Lyengar, Venkatesh; Blondiaux, Gilbert B.; Tessier, Yves; Petri, Hermann; Hoffmann, Peter S.; Aras, Namik K.; Zaichick, Vladimir Ye; Ortner, Hugo Manfred; Sastri, Chaturvedula S., Fachbereich Material- und Geowissenschaften, Technische Universität Darmstadt, Darmstadt, Germany; Lyengar, Venkatesh, International Atomic Energy Agency, Vienna, Vienna, Austria; Blondiaux, Gilbert B., Centre de Recherches Internationales Sciences Po, Paris, France; Tessier, Yves, Centre de Recherches Internationales Sciences Po, Paris, France; Petri, Hermann, Forschungszentrum Jülich GmbH, Julich, Germany; Hoffmann, Peter S., Fachbereich Material- und Geowissenschaften, Technische Universität Darmstadt, Darmstadt, Germany; Aras, Namik K., Department of Chemistry, Middle East Technical University (METU), Ankara, Turkey, Bahçeşehir Üniversitesi, Istanbul, Turkey; Zaichick, Vladimir Ye, A. Tsyb Medical Radiological Research Center, Obninsk, Russian Federation; Ortner, Hugo Manfred, Fachbereich Material- und Geowissenschaften, Technische Universität Darmstadt, Darmstadt, GermanyFluorine was determined in the iliac crest bones of patients and in ribs collected from post-mortem investigations by particle-induced gamma-ray emission based on the 19F(p,p′y)19F reaction, using 2.0/2.5 MeV protons. The results indicate that for 68% of the human samples the F concentration is in the range 500-1999 μg g-1. For comparison purposes fluorine was also determined in some animal bones, in some animal tissues lateral profiles of fluorine were measured. © Springer-Verlag 2001. © 2020 Elsevier B.V., All rights reserved.Publication Metadata only Global variations in peak bone mass as studied by dual-energy X-ray absorptiometry(Akademiai Kiado Rt., 2004) McCloskey, Eugene V.; Dey, Abhijit; Parr, Robert M.; Aras, Namik K.; Balogh, Ádám; Bostock, J.; Borelli, Aurélio; Krishnan, Sivarama S.; Lobo, Gerald J.; Qin, Linlin; McCloskey, Eugene V., Who Collaborating Centre for Metabolic Bone Diseases, Sheffield, United Kingdom; Dey, Abhijit, Who Collaborating Centre for Metabolic Bone Diseases, Sheffield, United Kingdom; Parr, Robert M., International Atomic Energy Agency, Vienna, Vienna, Austria; Aras, Namik K., Bahçeşehir Üniversitesi, Istanbul, Turkey; Balogh, Ádám, Debreceni Egyetem, Debrecen, Hungary; Bostock, J., Who Collaborating Centre for Metabolic Bone Diseases, Sheffield, United Kingdom; Borelli, Aurélio, Hospital das Clinicas, Sao Paulo, Brazil; Krishnan, Sivarama S., Toronto General Hospital, Toronto, Canada; Lobo, Gerald J., Clínica Indisa, Santiago, Chile; Qin, Linlin, China-Japan Friendship Hospital, Beijing, ChinaIn 1994, the International Atomic Energy Agency (IAEA) initiated a 5-year Co-ordinated Research Project (CRP) to determine geographical and racial differences in peak bone mineral density (BMD) in men and women aged 15-49 years. The study demonstrates that there are distinct global differences in BMD at the hip and spine in both men and women approximating to one population standard deviation between populations with the highest and lowest BMD. These differences persist following adjustments for age, sex and body size. Such information is valuable in understanding the reasons for global differences in fracture rate and predicting future trends in fracture incidence. © 2025 Elsevier B.V., All rights reserved.Publication Metadata only Precision of a dual energy X-ray absorptiometry device(Akademiai Kiado Rt., 2004) Korkusuz, Feza; Işikh, S.; Akin, Sabire; Ungan, Mehmet; Şenköylü, Alpaslan; Aras, Namik K.; Korkusuz, Feza, Medical Center, Middle East Technical University (METU), Ankara, Turkey; Işikh, S., Medical Center, Middle East Technical University (METU), Ankara, Turkey; Akin, Sabire, Medical Center, Middle East Technical University (METU), Ankara, Turkey; Ungan, Mehmet, Medical Center, Middle East Technical University (METU), Ankara, Turkey; Şenköylü, Alpaslan, Medical Center, Middle East Technical University (METU), Ankara, Turkey; Aras, Namik K., Bahçeşehir Üniversitesi, Istanbul, TurkeyThe standard method to diagnose and follow-up osteoporosis is the measurement of bone mineral density (BMD) using dual X-ray absorptiometry (DEXA). Manufacturers' manuals of DEXA devices state the intrascanner coefficient of variance is less than 0.01 g/cm2. The aim of this study was to evaluate the in vivo coefficient of variance of a Lunar DPX scanner in male and female healthy adult subjects. Average BMD for females and males were 1.170±0.091 g/cm2 and 1.272±0.115 g/cm 2, respectively. Monthly phantom measurements provided and controlled by the manufacturer were 1.243±0.008 g/cm2 (range 1.222 to 1.257) and the coefficient of variance was 0.006. It is concluded that the in vivo coefficient of variance of DEXA devices can slightly be higher than that proposed by the manufacturer. © 2025 Elsevier B.V., All rights reserved.Publication Metadata only Relationship between general and context-specific attachment orientations in a Turkish sample(2006) Imamoǧlu, Selen; Olcay Imamoĝlu, E.; Imamoǧlu, Selen, Faculty of Communication, Bahçeşehir Üniversitesi, Istanbul, Turkey; Olcay Imamoĝlu, E., Department of Psychology, Middle East Technical University (METU), Ankara, TurkeyThe authors explored the relationship between general and context-specific attachment orientations involving family, peer, and romantic contexts. Participants were 110 Turkish university students (50 men, 60 women). The authors used the Turkish form of K. Bartholomew and L. M. Horowitz's (1991) Relationship Questionnaire (RQ) to measure participants' general and specific attachment orientations. Using 5-point Likert-type scales, participants specified the degree to which each of the 4 descriptions of RQ (i.e., of secure, preoccupied, dismissing, and fearful orientations) represented (a) how they generally felt in close relationships, and then how they felt in their (b) family relationships, (c) romantic relationships, and (d) peer relationships. The present results indicated that participants who were generally high rather than low on a particular attachment orientation tended to be so across the 3 contexts, thereby supporting the trait-like conceptualization of attachment styles. However, the present results also supported conceptualization of attachment orientations as specific context-related tendencies because regardless of their general orientations, participants reported feeling relatively more secure in some relationships (e.g., family) than in others (e.g., romantic). The authors discussed the present results as supporting (a) the coexistence of both general and specific attachment orientations in the cognitive system and (b) the cross-cultural validity of attachment orientations. Copyright © 2006 Heldref Publications. © 2009 Elsevier B.V., All rights reserved., MEDLINE® is the source for the MeSH terms of this document.Publication Metadata only Prediction of cyclosporine A blood levels: An application of the adaptive-network-based fuzzy inference system (ANFIS) in assisting drug therapy(2008) Gören, Sezer; Karahoca, Adem; Onat, Filiz Yilmaz; Gören, Mehmet Zafer; Gören, Sezer, Department of Computer Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey; Karahoca, Adem, Department of Computer Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey; Onat, Filiz Yilmaz, Department of Pharmacology and Clinical Pharmacology, Marmara Üniversitesi Tip Fakültesi, Istanbul, Turkey; Gören, Mehmet Zafer, Department of Pharmacology and Clinical Pharmacology, Marmara Üniversitesi Tip Fakültesi, Istanbul, TurkeyObjective: Therapeutic drug monitoring (TDM) is a procedure in which the levels of drugs are assayed in various body fluids with the aim of individualizing the dose of critical drugs, such as cyclosporine A. Cyclosporine A assays are performed in blood. Methods: We proposed the use of the Takagi and Sugeno-type adaptive-network-based fuzzy inference system (ANFIS) to predict the concentration of cyclosporine A in blood samples taken from renal transplantation patients. We implemented the ANFIS model using TDM data collected from 138 patients and 20 input parameters. Input parameters for the model consisted of concurrent use of drugs, blood levels, sampling time, age, gender, and dosing intervals. Results: Fuzzy modeling produced eight rules. The developed ANFIS model exhibited a root mean square error (RMSE) of 0.045 with respect to the training data and an error of 0.057 with respect to the checking data in the MATLAB environment. Conclusion: ANFIS can effectively assist physicians in choosing best therapeutic drug dose in the clinical setting. © 2008 Springer-Verlag. © 2009 Elsevier B.V., All rights reserved., MEDLINE® is the source for the MeSH terms of this document.Publication Metadata only Organizational commitment of military physicians(Association of Military Surgeons of the US pubsvc.tsp@sheridan.com, 2009) Demir, Cesim; Şahin, Bayram; Tekef, Kadir; Uçar, Muharrem; Kursun, Olcay; Demir, Cesim, Gülhane Eğitim ve Araştırma Hastanesi, Ankara, Turkey; Şahin, Bayram, Department of Health Care Management, Hacettepe Üniversitesi, Ankara, Turkey; Tekef, Kadir, Gülhane Eğitim ve Araştırma Hastanesi, Ankara, Turkey; Uçar, Muharrem, Department of Medical History and Deontology, Gülhane Eğitim ve Araştırma Hastanesi, Ankara, Turkey; Kursun, Olcay, Department of Computer Engineering, Bahçeşehir Üniversitesi, Istanbul, TurkeyAn individual's loyalty or bond to his or her employing organization, referred to as organizational commitment, influences various organizational outcomes such as employee motivation, job satisfaction, performance, accomplishment of organizational goals, employee turnover, and absenteeism. Therefore, as in other sectors, employee commitment is crucial also in the healthcare market. This study investigates the effects of organizational factors and personal characteristics on organizational commitment of military physicians using structural equation modeling (SEM) on a self-report, cross-sectional survey that consisted of 635 physicians working in the 2 biggest military hospitals in Turkey. The results of this study indicate that professional commitment and organizational incentives contribute positively to organizational commitment, whereas conflict with organizational goals makes a significantly negative contribution to it. These results might help develop strategies to increase employee commitment, especially in healthcare organizations, because jobrelated factors have been found to possess greater impact on organizational commitment than personal characteristics. Reprint and Copyright © by Association of Military Surgeons of U.S., 2009. © 2017 Elsevier B.V., All rights reserved.Publication Metadata only Caregiving style, problem solving strategies, anger style and health status in women caregivers of alzheimer patients and healthy elderly, Alzhei̇mer hastalarina ve saǧlikli yaşlilara bakimveren kadin yakinlarda bakim verme tarzi, problem çözme strateji̇leri̇,öfke tarzlari ve saǧlik durumunun i̇ncelenmeṡi(2009) Korkut, Yeflim; Sertel-Berk, Hanife Özlem; Korkut, Yeflim, Bahçeşehir Üniversitesi, Istanbul, Turkey; Sertel-Berk, Hanife Özlem, Psikoloji Anabilim Dali, Istanbul Üniversitesi, Istanbul, TurkeyIntroduction: The principle aim of this study is to investigate the caregiving style of the participants and the kind of support they receive, to compare anger levels, problem solving approaches and health problems of Alzheimer Disease (AD) patient female caregivers with a control group. This study further examines the effect of group, age, health status, anger style and problem solving style on depression. Materials and Method: 42 female caregivers (22 AD and 20 control) participated in the study. They were given a demographic questionnaire, Beck Depression Inventory-BDI, State-Trait Anger Scale-STAS and Problem Solving Inventory-PSI. Results: Results indicated that both AD and control group caregivers were similar in terms of caregiving style. Though AD and control group caregivers did not differ in terms PSI and BDI, there were significant differences between those who reported illness and those who did not in terms of impatient and thoughtful approach sub-tests of PSI. The regression analysis showed that age and repressed anger significantly explained the variation in BDI. Conclusion: Altogether results showed that in a relatively low at risk women caregivers group, regardless of being AD caregiver or not, age and repressed anger are important factors on depression levels. Health status of caregiver seems to be a determining factor on PSI. © 2009 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.