WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7150
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Article Citation - WoS: 3Citation - Scopus: 3Two Decades of Research on Roma in Türkiye: Socioeconomic Exclusion, Identity, and State Policies(Liverpool Univ Press, 2024) Celik, Faika; Uştuk, Ozan; Ustuk, OzanThe scholarly investigation of Roma communities in Turkiye has intensified since the 2000s, largely driven by Turkiye's EU accession candidacy and subsequent adaptation process. This alignment, along with internal developments, prompted governments to prioritize Roma issues, implement projects, and issue action plans. The Roma Civil Society Movement in the 1990s further highlighted Roma challenges, resulting in a diverse body of literature. This study critically examines academic literature to map prevailing trends and thematic foci. Key areas of scholarly engagement include the various dimensions of socio-economic exclusion faced by Roma in education, employment, housing, and health. Additionally, scholars analyze how Roma negotiate and resist pejorative representations, construct their identities, and organize to address contemporary challenges. State policies affecting Roma, from past to present, also receive considerable attention. By critically engaging with this scholarship, the present study highlights significant progress and ongoing challenges in Romani Studies in Turkiye, offering insights into future research directions.Article Effect of Random Structural Variations on the Optical Properties of Honeycomb Photonic Crystals(Taylor & Francis Ltd, 2024) Tuncturk, Yigit; Sozuer, H. SamiPeriodic dielectric structures called photonic crystals are being used in various sensors and devices. Since photonic crystals are designed to operate within certain frequency ranges, accuracy in structure becomes important. In this work, we investigate the effects of two types of randomness, surface roughness and positional randomness, on the optical properties of the honeycomb photonic crystal. We employed the plane wave expansion method to investigate the effects of random perturbations of the shape and the position of the structure on the density of states. We also employ the finite-difference time-domain method to calculate the transmission spectrum as a consistency check. We find that both surface roughness and positional imperfections cause significant changes in the DOS. As the degree of randomness is increased, transverse electric and transverse magnetic gaps are narrowed and complete gaps totally disappear at $ 45\% $ 45% of surface roughness.Article Ai-Assisted Survival Prediction in Colorectal Cancer: a Clinical Decision Support Tool(Dokuz Eylul Univ inst Health Sciences, 2024) Misirlioglu, Huseyin Koray; Leblebici, Asim; Calibasi-Kocal, Gizem; Ellidokuz, Hulya; Basbinar, YaseminPurpose: This study was planned to determine the problems and affecting factors that children encounter Purpose: Colorectal cancer (CRC) is a leading cause of cancer-related mortality worldwide. Accurate survival prediction is crucial for advanced-stage patients to optimize treatment strategies and improve clinical outcomes. This study aimed to develop an artificial intelligence-assisted clinical decision support system (CDSS) for survival prediction in CRC patients using clinical and genomic data from the Cancer Genome Atlas Colon Adenocarcinoma Collection (TCGA-COAD) dataset. Methods: Machine learning algorithms, including C4.5 Decision Tree, Support Vector Machines (SVM), Random Forest, and Naive Bayes, were employed to create survival prediction models. Clinical parameters and genomic data from key pathways, such as glycolysis/gluconeogenesis and mTORC1, were integrated into the models. The models were evaluated based on accuracy and performance. Results: The Random Forest algorithm achieved the highest accuracy (82.3%) when only clinical parameters were used. When clinical data were combined with gene expression data, the model's accuracy increased further. The resulting models were incorporated into a user-friendly web interface, SurvCOCA, for clinical use. Conclusions: This study demonstrates the potential of AI-based tools to improve prognosis predictions in CRC patients. Further research is needed, with larger datasets and additional machine learning algorithms, to enhance clinical decision-making and optimize treatment strategies.Article Investigation of the Relationship Between Women Indicators and Socio-Economic Development Index Using Spatial Econometrics Models(Istanbul Univ, Fac Letters, dept Geography, 2024) Gorgulu, Lale; Gorgulu, CaglaThe aim of this study was to investigate the relationship between socioeconomic development (SEGE) scores at the provincial level and women's indicators in T & uuml;rkiye. The research questions include whether there is a relationship between women's indicators and SEGE scores, how the indicators affect SEGE scores, which indicators have a greater impact on SEGE, and how to determine the geographical distribution of the most effective indicators. The dataset for this study includes the socioeconomic development index scores of provinces and indicators related to women. The methods used in this study are correlation analysis, regression analysis, and spatial analyses (including spatial autoregressive and spatial error models, Moran's I and Lagrange multiplier diagnostics). The study's results indicate a negative significant relationship between the number of births of women aged 20-39 years and the proportion of agriculture in GDP. Conversely, there is a positive significant relationship between the indicator of compulsory insured women and SEGE scores. This study highlights the effects of women indicators on SEGE and contributes to the realisation of Sustainable Development Goals (SDGs) 5.5 and 10.2, which aim to provide gender equality and inclusion of women in socioeconomic life. The findings can guide the development of women-based strategies and policies for sustainable development.Article Citation - WoS: 1GIS-AHP APPROACH FOR A COMPREHENSIVE FRAMEWORK TO DETERMINE THE SUITABLE REGIONS FOR GEOTHERMAL POWER PLANTS IN IZMIR, TURKIYE(Konya Teknik Univ, 2024) Koca, Kemal; Karipoglu, Fatih; Ozturk, Emel ZerayGeothermal energy is gaining more reputation and importance around the world. Correspondingly, suitable location selection is a critical step and has become necessary for the successful installation and operation of geothermal power plants. This study investigated suitability of & Idot;zmir region, located in the Aegean part of T & uuml;rkiye, in terms of geothermal power plants applications by using the combination of Geographical Information System and Analytic Hierarchy Process. Based on the request of power plants, thirteen important criteria were evaluated under three main categories named as physical (C1), environmental (C2) and technical (C3). Moreover, expert's opinions were taken into consideration to calculate the importance of these criteria. Key results showed that & Idot;zmir was suitable for geothermal power plants. The final suitability map layer pointed out that %8.73 (1.037 km2) of total area were determined as highly suitable regions in terms of installation. In addition, the obtained suitability map layer was compared with actual geothermal power plants. Based on the comparison study, power plants in Seferihisar were moderately suitable for geothermal power plants while the location of Bal & ccedil;ova power plant was highly suitable. Regarding the suitability assessment in the present study, the location of Dikili power plants had the least suitability score.Article Citation - WoS: 1Citation - Scopus: 1Identification of Flood Hazard Zones in Afghanistan Using Gis and Multi-Criteria Decision Approach(Inderscience Publishers, 2024) Tani, H.; Tayfur, G.This study assessed Afghanistan’s potential flood hazard zones using the geographic information systems (GIS) and the analytical hierarchy process (AHP). Six different thematic layers were selected, and the AHP was applied to estimate the influence weights of each parameter. The final flood hazard zones map (FHZM) was reclassified into five zones. Sensitivity analysis was employed to create the flood hazard sensitivity map (FHSM) based on ‘effective weights’. It was found that the land use land cover (LULC) and rainfall are less sensitive compared to the other parameters. The FHZM and FHSM comparatively indicate the same regions regarding flood hazard levels. The methodology was tested against the recorded flood events in the region. The results showed that about 44% of the study area is under low and very low flood hazards, whereas 56% is subjected to high and very high. Low-lying areas are highly prone to flooding. Copyright © 2024 Inderscience Enterprises Ltd.Conference Object Citation - WoS: 5Citation - Scopus: 7Modeling Leakage of Ephemeral Secrets in Tripartite/Group Key Exchange(Institute of Electronics, Information and Communication, Engineers, IEICE, 2013) Manulis, Mark; Suzuki, Koutarou; Ustaoglu, BerkantWe propose a security model, referred as g-eCK model, for group key exchange that captures essentially all non-trivial leakage of static and ephemeral secret keys of participants, i.e., group key exchange version of extended Canetti-Krawczyk (eCK) model. Moreover, we propose the first one-round tripartite key exchange (3KE) protocol secure in the g-eCK model under the gap Bilinear Diffie-Hellman (gap BDH) assumption and in the random oracle model.Article Investigation of Earth Dam Filter Performance Under Static and Dynamic Loading Conditions(Amer Soc Testing Materials, 2024) Valizadeh, Hadi; Ecemis, Nurhan; Leclerc, Rabia Zeynep SaricaErosion -induced piping is the primary cause of failure in embankment dams' ' bodies and foundations. The filter is a principal part of an earth dam, owing to the crucial role of this layer in protecting the clayey core from erosion. Erosion is the process by which soil particles migrate due to an interior fluid flow and is recognized as a significant hazard for earthen constructions. Designing a proper filter -soil system can regulate and seal undesirable cracks that may form in the impermeable core due to nonuniform settlements, extreme water levels, or earthquakes. In this study, a No -Erosion Filter (NEF) test device, which still seems to be the most reliable filtersoil system design, has been adapted to evaluate the performance of the filter sand of two dams under static and dynamic loading conditions. The outcomes were compared with the several filter design criteria in the literature, and it was found that the filter's design approach using the available criteria may not always align with the NEF test results. Therefore, a precise understanding of fluid-particle -particle interactions is necessary to design and operate earth dam filters. The dynamic excitation can change hole pressure distribution and cause erosion even after steady-state conditions under static situations. Consequently, the effectiveness of filters under static conditions does not necessarily translate to satisfactory performance when exposed to dynamic loading.Article Validation of New Micro-Spectrophotometric Method To Determine Diamine Oxidase Activity in Serum(Springer india, 2024) Sozmen, Eser Yildirim; Sozmen, Alper BaranFood allergy and histamine intolerance (HI) are prevalent worldwide. Diamine oxidase (DAO) activity determination in serum is a promising approach for diagnosing HI. Despite the numerous methods that have been published for determining diamine. oxidase activity in serum, most of them have not been validated and have inherent limitations, such as interference and multi-step analysis. Our objective was to perform the analytical validation of a novel micro-spectrophotometric method for the determination of DAO activity in a routine clinical laboratory setting. In this study we determined DAO activity in serum using a 4-aminoantypirine (4-AAP) and 2,4,6 tribromo-3-hidroxybenzoic acid (TBHBA) combination as chromogen for the first time. Validation steps included determination of accuracy (recovery and linearity) and precision (within-run and between-run repeatability) following the Clinical and Laboratory Standards Institute protocols and the other guidelines. Reagent stability assessment at both 4 degrees C temperature and frozen (- 20 degrees C) after 4 h, 24 h, 72 h and a week storage were conducted. The optimum test conditions were determined as pH = 6.0, 37 degrees C, 55 mM Putrescine and 60 min. LOD and LOQ levels were found as 10.08 U/L and 30.56 U/L respectively. Coefficients of variation (CVs) for within-run and between-run precisions were 5.2%, 9.4% for the normal level and 2.6%, 2.2% for the high range, respectively. This reliable method for quantifying DAO activity in serum provides an optimal approach, offering rapid and straightforward performance in laboratories for clinical use.Article Citation - WoS: 5Unifying Behavioral and Feature Modeling for Testing of Software Product Lines(World Scientific Publ Co Pte Ltd, 2024) Belli, Fevzi; Tuglular, Tugkan; Ufuktepe, EkincanExisting software product line (SPL) engineering testing approaches generally provide positive testing that validates the SPL's functionality. Negative testing is commonly neglected. This research aims to unify behavioral and feature models of an SPL, enable testing before and after variability binding for domain-centric and product-centric testing, and combine positive and negative testing for a holistic testing view. This study suggests behavioral modeling with event sequence graphs (ESGs). This heterogeneous modeling strategy supports bottom-up domain testing and top-down product testing with the feature model. This new feature-oriented ESG test creation method generates shorter test sequences than the original ESG optimum test sequences. Statechart and original ESG test-generating methods are compared. Positive testing findings are similar. The Statechart technique generated 12 test cases with 59 events, whereas the ESG technique created six test cases with 60 events. The ESG technique generated 205 negative test cases with 858 events with the Test Suite Designer tool. However, the Conformiq Designer tool for the Statechart technique does not have a negative test case generation capability. It is shown that the proposed ESG-based holistic approach confirms not only the desirable (positive) properties but also the undesirable (negative) ones. As an additional research, the traditional ESG test-generating approach is compared to the new feature-oriented method on six SPLs of different sizes and features. Our case study results show that the traditional ESG test generation approach demonstrated higher positive test generation scores compare to the proposed feature-oriented test generation approach. However, our proposed feature-oriented test generation approach is capable of generating shorter test sequences, which could be beneficial for reducing the execution time of test cases compared to traditional ESG approach. Finally, our case study has also shown that regardless of the test generation approach, there has been found no significant difference between the Bottom-up and Top-down test strategies with respect to their positive test generation scores.