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Citation - WoS: 7
Citation - Scopus: 8
Parenting and Education: Navigating Class, Religiosity and Secularity in Istanbul
(Routledge Journals, Taylor & Francis Ltd, 2023) Kolluoglu, Biray; Dincer, Evren M.
This article studies the educational choices that secular and religious professional and managerial middle-class parents in Istanbul make for their children. It explores the ways in which class intersects with religion in Turkey where, politics, culture, social, and even economic life are marked by a deep divide among the religious and the secular. Focusing on a particular segment of the middle classes, that with higher economic and social capital, the article brings to fore the ways in which religiosity and secularity structure the processes of transforming privileges into acquired rights in the form of educational qualifications and extracurricular skills. It explores the current sociological conjuncture that bereaves both groups, albeit in different ways, of their ability to fully mobilize their accumulated economic, social, and cultural capitals in reproducing their class position in their children. The article argues that exploring the parenting of education along the secular and the religious divide can unravel the foundational elements of the ongoing competition and conflict in Turkey and enables a deeper understanding of the current divide and the potential for a future reconciliation. The study relies on a qualitative study that entails interviews with thirty families and two focus groups.
Citation - Scopus: 5
Emotion Detection Using Multivariate Synchrosqueezing Transform via 2D Circumplex Model
(Institute of Electrical and Electronics Engineers Inc., 2018) Ozel, Pinar; Akan, Aydin; Yilmaz, Bulent; Özel, Pınar; Akan, Aydin I.; Yilmaz, Bulent
Emotion detection by utilizing signal processing methods is a challenging area. An open issue in emotional modeling is to obtain an optimum feature set to use for the classification process. This study proposes an approach for emotional state classification by the investigation of EEG signals via multivariate synchrosqueezing transform (MSST). MSST is a post-processing technique to compose a localized time-frequency representation yielding multivariate syncyrosqueezing coefficients. After obtaining these coefficients from EEG signals for 18 subjects from DEAP dataset, coefficients and self-assessment-mannequins (SAM) labels of those subjects are used for emotional state classification by using support vector machines (SVM) nearest neighbor, decision tree, and ensemble methods. The accuracy rate is 70.6% for high valence high arousal (HVHA), 75.4% for low valence high arousal (LVHA), 77.8% for high valence low arousal (HVLA), and 77.2% for low valence low arousal (LVLA) cases using SVM. © 2019 Elsevier B.V., All rights reserved.
Citation - Scopus: 1
A Gendered Analysis of Palestinian Refugee Women's Experiences of Migration From Syria to Türkiye
(Sage Publications Ltd, 2024) Kurtoglu, Ayca; Llyod, Armagan Teke; Salimoglu, Zafer
After the outbreak of the conflict in 2011, millions of people fled Syria across its borders. This gave way to a new category of people, "Syrian refugees." While this categorical understanding constitutes the basis for legal entitlements, it homogenizes all fleeing Syria and results in concealing the differential experiences and vulnerabilities of particular groups. The paper challenges this blanket categorization by focusing on the migration experiences of Palestinian women from Syria to Turkiye around the concepts of biological and social reproduction which represent the largely neglected aspects concerning the process of forced migration. By drawing on six women's experiences, the paper concludes that the homogeneity of the Syrian migrants is an illusion; women's migrations are shaped through their gendered and ethnic history; and women face gender-specific challenges and opportunities in both home and host countries. We particularly argue that policies on border control and migrant's integration fail to consider the subjective conditions and needs of particular groups within the Syrian migrants.
A New Approach for Numerical Solution of Linear and Non-Linear Systems
(Korean Soc Computational & Applied Mathematics & Korean Sigcam, 2017) Zeybek, Halil; Dolapci, Ihsan Timucin
In this study, Taylor matrix algorithm is designed for the approximate solution of linear and non-linear differential equation systems. The algorithm is essentially based on the expansion of the functions in differential equation systems to Taylor series and substituting the matrix forms of these expansions into the given equation systems. Using the Mathematica program, the matrix equations are solved and the unknown Taylor coefficients are found approximately. The presented numerical approach is discussed on samples from various linear and non-linear differential equation systems as well as stiff systems. The computational data are then compared with those of some earlier numerical or exact results. As a result, this comparison demonstrates that the proposed method is accurate and reliable.
Sustainable Water Management and Rehabilitation in the Mining Lakes, Ilgin-Konya, Turkey
(Agro Arge Danismanlik San ve Tic As, 2016) Delibalta, M. S.; Uzal, N.; Lermi, A.
The processes during the search, production and enrichment of mining operations naturally affects the air, soil, water resources in turn the natural environment and living organisms. In general, the environmental impact of coal opencast mining operations is much more significant than that of underground mining and mineral processing. After stripping of the material filling the holes in coal opencast production, with the rise of surface water and ground water level is composed of large or small ponds. Low pH (acidic characteristic) and high metal concentrations (Al, Ca, Mn, Fe, Cu, Zn, Pb) of these ponds, containing sulfide minerals and the waste materials, for the sustainability of natural resources is one of the biggest environmental problems. This paper is to investigate geochemical characteristics of the pond waters in the Ilgm Coal deposit area. Geochemical analyses were made by ICP-MS in waters taken from ponds in each three-month periods. Highest heavy metal contents 1839 ppb Mn and 9777 ppb Fe, the average pH values 6.49-7.81, turbidity (NTU) 0.1263.6, sulphate content 0.05-2.67 mg SO4/L, chemical oxygen demand 4-136 mg O-2/L, and electrical conductivity 285 mu S/cm4.68 mS/cm have been measured during the monitoring study of five different lignite opencast mine post-production lakes of the TKI GLI Ilgm. Analyses were performed in three-month periods. The results were evaluated within the framework of relevant laws and regulations.
Citation - WoS: 23
Citation - Scopus: 23
Pressure-Induced Amorphization of MOF-5: A First Principles Study
(Wiley-VCH Verlag GmbH, 2018) Erkartal, Mustafa; Durandurdu, Murat; Erkartal, Mustafa; Durandurdu, Murat
Amorphous metal-organic frameworks (MOFs) and the amorphization of crystalline MOFs under mechanical stimuli are attracting considerable interest in last few years. However, we still have limited knowledge on their atomic arrangement and the physical origin of crystalline-to-amorphous phase transitions under mechanical stimuli. In this study, ab initio simulations within a generalized gradient approximation are carried out to investigate the high-pressure behavior of MOF-5. Similar to the previous experimental findings, a pressure-induced amorphization is observed at 2 GPa through the simulations. The phase transformation is an irreversible first order transition and accompanied by around 68% volume collapse. Remarkably, the transition arises from local distortions and, contrary to previous suggestions, does not involve any bond breaking and formation. Additionally, a drastic band gap closure is perceived for the amorphous state. This study has gone some way towards enhancing our understanding of pressure-induced amorphization in MOFs.
Citation - WoS: 26
Citation - Scopus: 32
Gigification, Job Engagement and Satisfaction: The Moderating Role of AI Enabled System Automation in Operations Management
(Taylor & Francis Ltd, 2021) Braganza, Ashley; Chen, Weifeng; Canhoto, Ana; Sap, Serap
Innovative and highly efficient Artificial Intelligence System Automation (AI-SA) is reshaping jobs and the nature of work throughout supply chain and operations management. It can have one of three effects on existing jobs: no effect, eliminate whole jobs, or eliminate those parts of a job that are automated. This paper focuses on the jobs that remain after the effects of AI-SA, albeit with alterations. We use the term Gigification to describe these jobs, as we posit that the jobs that remain share characteristics of gig work. Our study examines the relationship between Gigification, job engagement and job satisfaction. We develop a theoretical framework to examine the impact of system automation on job satisfaction and job engagement, which we test via 232 survey responses. Our findings show that, while Gigification increases job satisfaction and engagement, AI-SA weakens the positive impact of Gigification on these important worker outcomes. We posit that, over time, the effects of AI-SA on workers is that full-time, permanent jobs will give way to gigified jobs. For future research, we suggest further theory development and testing of the Gigification of operations and supply chain work.
Beyond Moral Foundations: In it What is in it
(2023) Özkan, Türker; Yalçındağ, Bilge
Ahlak kavramının içeriği nedir? Bu soru yıllar boyu psikoloji literatüründe kısmen dar bir bakış açısı ile zarar vermemek ve adil olmak şeklinde yanıtlanmıştır. Geçtiğimiz 30 yılda yapılan araştırmalarla ahlak anlayışı oldukça genişlemiştir. Farklı alanlardaki ilerlemeler ahlaka daha kapsamlı bir bakış açısı getirilmesini sağlamıştır; özellikle ahlaki temeller kuramı (ATK), sadakat, otorite ve kutsallık gibi başka ahlaki ilkelerin de varlığını iddia etmiştir. Mevcut araştırma, iki niteliksel çalışmayla sıradan insanların ahlak anlayışını araştırmıştır. İlk çalışmada, ATK’nin ahlaki temel tanımlarını kullanarak katılımcılar tarafından nasıl algılandıklarını anlamayı amaçladık. İkinci çalışmada ise daha yapısal olmayan bir yol kullanarak ahlakı, ahlaklı insanı ve ahlaksız insanı nasıl tanımladıklarını anlamaya çalıştık. Bulgular çoğulcu ahlaki bakış açısını doğrulamıştır. Bununla beraber, ahlaki temellerde daha net işevuruk tanımların gereği ve çeşitli değişiklik önerileri dile getirilmiştir. Sonradan eklenen bir ahlaki kavram olan özgürlük, daha geniş yönleriyle birlikte ahlaki bir temel olarak da desteklenmiştir. Sonuçlar ATK’nin bakış açısını bireysel, toplumsal ve evrensel düzeydeki ahlaki ilkelerle genişletmekte ve ahlaki duygular, erdemler ve kötülükler gibi yeni araştırma alanları sunmaktadır.
A Novel Signaling Pathway That Governs Tumor Metastasis: Ceramide Regulates Direct Crosstalk Between TGF-Β and Sonic Hedgehog Signaling
(Wiley-Blackwell, 2016) Gencer, S.; Ogretmen, B.
Citation - Scopus: 1
Data-Driven Discovery and DFT Modeling of Fe4H on the Atomistic Level
(Elsevier B.V., 2024) Zagorac, Dejan; Zagorac, Jelena; Djukic, Milos B.; Bal, Burak; Schön, Johann Christian
Since their discovery, iron and hydrogen have been two of the most interesting elements in scientific research, with a variety of known and postulated compounds and applications. Of special interest in materials engineering is the stability of such materials, where hydrogen embrittlement has gained particular importance in recent years. Here, we present the results for the Fe-H system. In the past, most of the work on iron hydrides has been focused on hydrogen-rich compounds since they have a variety of interesting properties at extreme conditions (e.g. superconductivity). However, we present the first atomistic study of an iron-rich Fe4H compound which has been predicted using a combination of data mining and quantum mechanical calculations. Novel structures have been discovered in the Fe4H chemical system for possible experimental synthesis at the atomistic level. © 2024 Elsevier B.V., All rights reserved.
Proximity or Directional Model of Voting for the Turkish Voter?
(2024) İnan, Murat; Akdağ, Gül Arıkan
Oy verme davranışı oldukça karmaşık bir politik davranış türüdür. Bu nedenle seçmenlerin belirli bir politik parti ya da adaya neden oy verdiklerini anlamak karmaşık modeller geliştirmeyi gerektirir. 1957 yılında, Modelini Hottelings ve Smithies'in modelleri üzerine kuran Anthony Downs, siyasi partilerin ve adayların ideolojik ve meseleler üzerindeki konumlarının tek boyutlu bir alanda ifade edilebileceğini savunmuştur. Belirli bir konudaki politik fikirlerin bu şekilde ifade edilebileceğini ileri sürmek bir yandan son derece indirgemeciyken, diğer yandan ise analitik açıdan son derece pratikti. Partileri, adayları ve seçmenleri konumlarına göre tek boyutlu bir alana yerleştirmek zamanı için devrim niteliğinde bir fikirdi ve parti, aday ve seçmenlerin ideolojik ve meseleler üzerindeki konumlarının her bir ülke içinde veya ülkeler arasında karşılaştırılmasına yardımcı olmuştur. Parti rekabetinin uzamsal modelleri olarak adlandırılan bu modeller zaman içinde daha da geliştirilmiş ve oy verme davranışını anlamayı kolaylaştırmıştır. Halihazırda parti rekabetinin uzamsal modelleri seçmenlerin ideolojik konumlarını parti ideolojik konumlarıyla ilişkilendiren iki başlıca rakip modele sahiptir. Basitçe, yakınlık modeli, seçmenlerin siyasi alanda kendilerine en yakın ideolojik pozisyona sahip parti veya adaylara oy vereceklerini önerirken, yön modeli ise seçmenlerin ideolojik yelpazenin kendi tarafında fakat kendilerinden daha uç noktada ancak belirli bir kabul edilebilirlik bölgesi içerisinde bulunan parti veya adaylara oy vereceklerini önermektedir. Bu araştırma, bu iki oy verme modelinin Türk seçmeni için uygulanabilirliğini test etmeyi amaçlamaktadır. Mevcut literatürde Nispi Temsil Sistemlerinde (NTS) yakınlık modelinin oy verme davranışını açıklamak için daha uygun bir araç olduğunun önerilmesinden ötürü, Türkiye uzun süredir kullandığı NTS seçim sistemiyle ilginç bir örnek teşkil etmektedir. Bu gerekçeyle, NTS’nin geçerli seçim sistemi olarak kullanıldığı Türkiye’de seçmen davranışının yön modelinden çok yakınlık modeli ile açıklanacağını önermekteyiz. Araştırmamız Türkiye'deki dört büyük siyasi partinin, Adalet ve Kalkınma Partisi (AKP), Cumhuriyet Halk Partisi (CHP), Milliyetçi Hareket Partisi (MHP) ve Halkların Demokrasi Partisi (HDP), seçmenlerine ilişkin Karşılaştırmalı Seçim Sistemleri Araştırması (CSES) verilerini analiz etmektedir. Bağımlı ve bağımsız değişkenler arasındaki ilişkileri ortaya çıkarmak için bir dizi Çoklu Doğrusal Regresyon Analizleri yapılmıştır. Her bir seçmen için her bir siyasi partinin partiyi sevmesevmeme şeklinde ifade edilen parti kabulü, her analizde bağımlı değişken olarak ayrı ayrı kullanılmıştır. Konu mesafesi ve konu skaler çarpımı, sırasıyla yakınlık ve yön modelleri için formülleri temsil eden temel bağımsız değişkenler olarak kullanılmıştır. Ayrıca eğitim, yaş, cinsiyet ve gelir de klasik kontrol değişkenleri olarak alınmıştır. İstatistiki modellerin açıklama güçlerinin karşılaştırması, MacDonald ve meslektaşlarının bulgularının aksine, Türkiye'de oy verme davranışını açıklamada yakınlık modelinin yön modelinden daha uygun bir araç olduğunu göstermiştir. Makro-politik bir bakış açısıyla bakıldığında bu bulgu, Westholm'un (1997) NTS’lerinde yakınlık modelinin oy verme davranışını açıklamada daha uygun bir araç olduğu önerisini doğrulamaktadır. Ancak ifade edilmelidir ki, kesin sonuçlar için çok ülkeli karşılaştırmalı analizlere ihtiyaç bulunmaktadır.
Ceramide Is a Key Factor That Regulates the Crosstalk Between TGF-Β and Sonic Hedgehog Signaling at the Basal Cilia to Control Cell Migration and Tumor Metastasis
(Elsevier Sci Ltd, 2016) Gencer, S.; Ogretmen, B.
Citation - WoS: 5
Near- and Far-Field Characterization of Planar mm-Wave Antenna Arrays With Waveguide-to Transition
(Springer, 2016) Salhi, Mohammed Adnan; Kazemipour, Alireza; Gentille, Gennaro; Spirito, Marco; Kleine-Ostmann, Thomas; Schrader, Thorsten
We present the design and characterization of planar mm-wave patch antenna arrays with waveguide-to-microstrip transition using both near- and far-field methods. The arrays were designed for metrological assessment of error sources in antenna measurement. One antenna was designed for the automotive radar frequency range at 77 GHz, while another was designed for the frequency of 94 GHz, which is used, e.g., for imaging radar applications. In addition to the antennas, a simple transition from rectangular waveguide WR-10 to planar microstrip line on Rogers 3003 (TM) substrate has been designed based on probe coupling. For determination of the far-field radiation pattern of the antennas, we compare results from two different measurement methods to simulations. Both a far-field antenna measurement system and a planar near-field scanner with near-to-far-field transformation were used to determine the antenna diagrams. The fabricated antennas achieve a good matching and a good agreement between measured and simulated antenna diagrams. The results also show that the far-field scanner achieves more accurate measurement results with regard to simulations than the near-field scanner. The far-field antenna scanning system is built for metrological assessment and antenna calibration. The antennas are the first which were designed to be tested with the measurement system.
Citation - WoS: 12
Citation - Scopus: 12
Glass Ceiling in Academia Revisited: Evidence From the Higher Education System of Turkey
(Routledge Journals, Taylor & Francis Ltd, 2021) Bulbul, Serap
Current study investigates the gender gap in academic promotions in Turkey taking a new perspective on the widely established existence of gender inequality in academia. The dataset includes the eight most-prominent research universities in Turkey and the nature of the 'glass ceiling' is explored by looking at the gendered distributions of: (1) academic seats -indicating academic performances, and (2) coauthorship patterns concerning genders. Findings suggest that there is gender disparity in academic performances as well as in academic promotions. In addition, gender is found to be a significant factor in explaining the current situation in academic ranks and subtle discrimination practices may exist instead of overt discrimination practices as it is also suggested in previous studies. In sum, results show two main points: (1) There is evidence of gender gap in academic promotions in Turkey, (2) A new variable -cross gender coauthorship- for glass ceiling research may provide further insight about the issue.
Positive Solutions of Multipoint Φ-Laplacian BVPS With First-Order Derivative Dependence
(World Scientific, 2023) Bachouche, Kamal; Tair, Hocine; Doǧan, Abdülkadir Muhittin
This paper concerns existence of positive solutions for a second-order boundary value problem of Sturm-Liouville type associated with a φ-Laplacian operator and posed on a bounded interval. Existence results are obtained by an adapted version of the Krasnosel'skii's fixed point theorem of cone expansion and compression. Some examples illustrate our results. © 2023 Elsevier B.V., All rights reserved.
What Does the Bibliometrics of an Interdisciplinary Field Tell Us?: The Case of Cognitive Science
(Seoul Natl Univ, inst Cognitive Science, 2023) Arik, Beril T.; Arik, Engin
This study investigated the bibliometric characteristics of an interdisciplinary field, Cognitive Science, which consists of contributions from diverse fields such as psychology, computer science, philosophy, linguistics, and anthropology, among others. The results showed that there were 4,711 publications in Web of Science between 1900 and 2017, with an exponential increase in the number of publications in recent years. About two-thirds of publications were classified as social science, of which 41% were in the field of psychology. Seventy percent of the publications were journal articles, half of the publications were written by researchers in the USA, and 95% of the publications were in English. Corpus analyses of abstracts and keywords showed that frequently used words included cognitive, science, research, theory, model, cognition, information, learning, and psychology. These analyses also showed that research in this field centered on the common themes of cognition, information, psychology, language, learning, representation, artificial intelligence, and mind before 2010 and focused on more restricted themes such as embodied and extended cognition, morality and religion, quantum, and music after 2010.
Citation - Scopus: 2
Street Vendor Detection: Helping Municipalities Make Decisions With Actionable Insights
(IEEE, 2021) Agba, Hatice Nur; Tahir, Abdullah
Street vendors are quite common in countries across the world. By the prevalence of mobile surveillance systems, increasing demand for automatic detection of street vendors for further decisions and planning by the city administrators emerged. In this paper, an object detector is developed using a MobileNet SSD object detection algorithm to detect vendors on the street. For this study images were used, however, in the future this technique could be used for real time video footage from street cameras. Since this is the first study tackling this issue, a data set was created from scratch. The accuracy achieved by the algorithm is promising considering the size of the data set and the minimal computational power available. The goal of this research is to pave the way for more work to be done in this area and help municipalities improve their decision making process regarding street vendor activities in countries like Mexico, Pakistan, China, Turkey, etc.
Citation - Scopus: 12
Kinetic Rosette Patterns and Tessellations
(Wit Press, 2017) Beatini, Valentina
The paper investigates the possibility to create kinetic rosette patterns and their tessellations by means of modular linkages which rely on the same type and number of symmetry operations as the reference models. The mechanisms show a hierarchy of movements. It is found that symmetry is an effective unifying concept in the design of both the fixed models and the mechanisms. Furthermore, the resulting rosette linkages and their tessellations have peculiar kinematic characteristics if compared to other modular mechanisms which may be alternatively used to reproduce the same kind of models. © 2023 Elsevier B.V., All rights reserved.
Citation - WoS: 6
Citation - Scopus: 6
Experimental Measurements of Some Thermophysical Properties of Solid CdSb Intermetallic in the Sn-Cd Ternary Alloy
(Springer, 2016) Ozturk, Esra; Aksoz, Sezen; Altintas, Yemliha; Keslioglu, Kazum; Marasli, Necmettin
The equilibrated grain boundary groove shapes of solid CdSb in equilibrium with Sn-Cd-Sb eutectic liquid were observed from a quenched sample by using a radial heat flow apparatus. The Gibbs-Thomson coefficient, solid-liquid interfacial energy and grain boundary energy of the solid CdSb intermetallic were determined from the observed grain boundary groove shapes. The thermal conductivity of the eutectic solid and the thermal conductivity ratio of eutectic liquid to the eutectic solid in the Sn-35.8 at.%Cd-6.71 at.%Sb eutectic alloy at its eutectic melting temperature were also measured with a radial heat flow apparatus and a Bridgman-type growth apparatus, respectively.
Evaluation of Hybrid Classification Approaches: Case Studies on Credit Datasets
(Springer Verlag service@springer.de, 2018) Cetiner, Erkan; Güngör, Vehbi Çağrı; Kocak, Taskin
Hybrid classification approaches on credit domain are widely used to obtain valuable information about customer behaviours. Single classification algorithms such as neural networks, support vector machines and regression analysis have been used since years on related area. In this paper, we propose hybrid classification approaches, which try to combine several classifiers and ensemble learners to boost accuracy on classification results. We worked with two credit datasets, German dataset which is a public dataset and a Turkish Corporate Bank dataset. The goal of using such diverse datasets is to search for generalization ability of proposed model. Results show that feature selection plays a vital role on classification accuracy, hybrid approaches which shaped with ensemble learners outperform single classification techniques and hybrid approaches which consists SVM has better accuracy performance than other hybrid approaches. © 2018 Elsevier B.V., All rights reserved.

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