TR-Dizin İndeksli Yayınlar Koleksiyonu / TR Dizin Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/20.500.11779/1927

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Citation - WoS: 3
Citation - Scopus: 3
Assessment of the Disaster Recovery Progress Through Mathematical Modelling
(TMMOB İnşaat Mühendisleri Odası, 2020) Dikmen, Seyyit Ümit; Sönmez, Murat; Akbıyıklı, Rıfat
Natural disasters, especially major earthquakes, cause widespread devastation in the built environment. Hence, the major component of the recovery in its aftermath constitutes a chain of projects starting at different times, having different costs and durations. In this study, the post disaster recovery curve modelled through a mathematical approach taking into account these properties of the projects. The approach followed is based on the project S-curve concept that provides the opportunity to simulate the progress by outlining the project spending. Well-known mathematical functions are adapted to model the project spending and the handover processes. Monte Carlo simulation is performed to evaluate the general behavior of the recovery curve using the model developed. Weibull distribution is used to generate the model’s parameters. Results of the Monte Carlo simulation demonstrate that the recovery process exhibits an S-shape, the duration of initial portion and the slope of the bulk portion being significantly governed by the level of preparedness of the community.
Citation - WoS: 4
Citation - Scopus: 3
Between a Rock and a Hard Place: How To Make Sense of Turkey’s S-400 Choice
(SETA Foundation, 2020) Kibaroğlu, Mustafa
With the wrap-up of the S-400 deal with Russia in December 2017, critics argue that Turkey is caught between a rock and a hard place due to the adamant opposition of its NATO allies, the United States in particular, which has threatened Ankara with imposing severe sanctions. Would this be the correct representation of the situation at hand? Does it make any sense for Turkey to engage Russia, an archrival nation, to enhance the security of the country? Is the S-400 deal worth the risk of alienating the allied nations whose projected sanctions may have wide-ranging political, economic and military repercussions? With these questions in mind, this paper will try to shed light on the specifics of the S-400 deal that make one think that it may indeed make sense for Turkey to bear the brunt of engaging Russia. In the same vein, the paper will assess the impact of the S-400 deal on Turkey’s defense industries. The paper will also present the author’s conception of the current “international political non-order” as an underlying factor behind the deal. Finally, the paper will suggest that the S-400 deal must be approached from a wider perspective so as to grasp the extent of the service it has done in bolstering Turkey’s military-industrial complex. © 2020, SETA Foundation. All rights reserved.
Bitişik Yapıların Deprem Performanslarının Ayrı veya Bitişik Olarak Kırılganlık Eğrileri Yardımı ile İncelenmesi
(2015) Akbulut, Ali; Boduroğlu, M. Hasan
Mevcut yapıların deprem performans, risk ve güçlendirme analizlerinde, yanındaki yapı ile olan ilişkisini uygun modelleme teknikleri ile analiz aşamasının içine dâhil ederek, sonuçların tekbaşına analiz edilmiş binalara göre olan farklılıklarını incelemek önemli bir konu olarak ortaya çıkmaktadır. Bu çalışmada, literatürdeki komşu binaların birbirleri ile olan etkileşim modelleri, statik itme analizi ve doğrusal olmayan hesap yöntemleri, deprem ivme kayıtlarının bir veri tabanından alınması ve tasarım spektrumuna göre ölçeklenmesi, zaman tanım alanına göre hesap yöntemi, hareket denkleminin Newmark-b yöntemi ile sayısal çözümü ve kırılganlık eğrileri ile bina performans seviyelerinin belirlenmesi konuları incelenmiştir. Bitişik (komşu) ve birbirine benzer binaların, deprem performanslarının birbirileri ile olan etkileşimli ve deprem yönüne göre değişen bir şekilde yapı blokları olarak ele alınıp, hasar görebilirlik-kırılganlık eğrileri yönünden değerlendirilmeleri incelenmiş ve binaların ayrı ayrı analiz edildikleri duruma göre daha farklı sonuçlar verdiği tespit edilmiştir.
Calling for a Reset in Turkish-American Relations in the Post-COVID International Order
(SETA Foundation, 2020) Kibaroğlu, Mustafa
Analysts emphasize that nothing will be the same after the pandemic and refer to the ‘new normal’ that is likely to prevail everywhere in the world. It would be a legitimate question to ask if this would provide a conducive environment for Turkey and the United States to reset their relations that have much deteriorated lately. This article will, first, highlight the contours of the ‘new normal’ narrative by referring to the views expressed by politicians, academics, analysts, journalists and intellectuals from around the world. Second, the article will assess the implications of the parameters of the ‘new normal’ for key actors in world politics, such as the United States, China, the European Union and Russia, as well as Turkey’s Middle Eastern neighbors, with respect to the issues that will be at stake in the international security environment. Finally, the article will make a call for a reset in Turkish-American relations in order for the two long-standing allies to adapt themselves better to post-COVID international politics. © 2020, SETA Foundation. All rights reserved.
Çevrim-İçi Matematik Öğretimi Alan Deneyiminde Teori ve Pratik Arasındaki Mesafe Üzerine Bir İnceleme
(Mehmet Tekerek, 2025) Ӧlmez, İbrahim; Pekkan, Zelha Tunc; Birgili, Bengi; Taylan, Rukiye Didem
Geçmiş çalışmalar, öğretmen adaylarının teori ve pratiği birleştirme becerisinin, derste öğrendiklerinipratiğe dökebilmek için artan öneminden bahsetmektedir. Bu çalışma, 23 matematik öğretmenliğiadayının bir matematik öğretmen eğitimi programındaki ders ve çevrim-içi matematik öğretimi alandeneyimlerini birleştirme becerisini incelemiştir. Bu çalışmanın verisini, öğretmen adaylarının birdönem boyu süren çevrim-içi ders verme deneyiminden önce gerçekleşen 24 video-kayıtlı ders planlamatoplantısının transkripleri ve Çevrim-içi Laboratuar Okulu’ndaki çevrim-içi ders anlatımlarından sonragerçekleşen 9 video-kayıtlı tüm sınıfın dahil olduğu tartışma toplantılarının transkripleri kapsamaktadır.Ayrıca, bu çalışmanın verisini öğretmen adaylarının çevrim-içi ders anlatımlarından sonra dersanlatımlarındaki ilginç ve önemli buldukları durumlar üzerine yazdıkları kısa notları da içermektedir.Sonuçlar, öğretmen adaylarının sıklıkla teori ve pratik arasındaki bağlantıları kurmakta zorlandıklarınıgöstermekte ve öğretmen eğitimcilerinin matematik öğretimi alan deneyimleri ödevlerinde daha fazladers entegrasyon fırsatlarını kullanmasını önermektedir. Ders öğretim üyelerinin amaçları, öğretmenadaylarının düşünümleri, ders planları ve tüm sınıfın dahil olduğu tartışma toplantıları gibi birden fazlaveri kaynaklarını kullanan bu çalışma, eğitim araştırması alanındaki var olan mesafenin kapanması içindeğerli bir nitel kanıt sunmaktadır
Citation - WoS: 3
Comparison of Earliest and Later Autobiographical Memories in Young and Middle-Aged Adults
(İstanbul Üniversitesi Yayınevi, 2019) Öner, Sezgin; Gülgöz, Sami; Demiray, Burcu; Ece, Berivan
The current study examined earliest memories of young and middle-aged adults in comparison to a recent autobiographical memory and a free-report one from any life phase. These three types of memories were compared in terms of their memory characteristics such as vividness, emotionality, importance, confidence, and rehearsal frequency. A total of 319 young (18-30 years) and 112 middle-aged (40-65 years) adults completed the online survey. Results showed that earliest memories were rated either similar to or lower than later memories in their memory characteristics. More specifically, they received lower ratings than freereport memories in all memory characteristics whereas they did not significantly differ from recent memories only in importance and emotionality. In addition, free-report memories were highest in emotionality, importance and rehearsal frequency whereas recent memories were highest in vividness and confidence ratings. Compared to young adults, middle-aged adults provided higher ratings for all memory characteristics in general, and they further recalled earliest memories from an older age. Finally, the order of reporting the three types of memories (earliest memory first versus recent memory first) was examined with respect to its potential influence on memory characteristics and dating of the recalled memories. Results displayed no significant effect of the reporting order on memory characteristics. Dating of the earliest and free-report memories, however, was significantly affected by the reporting order. The mean age for earliest memories was higher when it was retrieved following the recent memory compared to the reporting order in which earliest memories are retrieved and reported first. Overall, results indicated that earliest memories are not particularly special compared to later memories (e.g.,free-report memories) in terms of their memory characteristics, and they are vulnerable to experimental manipulation such as changing the reporting order just like other types of autobiographical memories.
Citation - WoS: 4
Citation - Scopus: 6
Consumer Loans' First Payment Default Detection: a Predictive Model
(TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL, 2020) Sevgili, Türkan; Koç, Utku
A default loan (also called nonperforming loan) occurs when there is a failure to meet bank conditions and repayment cannot be made in accordance with the terms of the loan which has reached its maturity. In this study, we provide a predictive analysis of the consumer behavior concerning a loan’s first payment default (FPD) using a real dataset of consumer loans with approximately 600,000 records from a bank. We use logistic regression, naive Bayes, support vector machine, and random forest on oversampled and undersampled data to build eight different models to predict FPD loans. A two-class random forest using undersampling yielded more than 86% on all performance measures: accuracy, precision, recall, and F1-score. The corresponding scores are even as high as 96% for oversampling. However, when tested on the real and balanced dataset, the performance of oversampling deteriorates as generating synthetic data for an extremely imbalanced dataset harms the training procedure of the algorithms. The study also provides an understanding of the reasons for nonperforming loans and helps to manage credit risks more consciously.
Citation - WoS: 35
Covid-19 Sonrası Yükseköğretim
(Deomed, 2020) Erkut, Erhan
Higher education is one of the most severely impacted sectors by Covid-19. Almost all schools worldwide had to stop face-to-face education and approximately 2 billions students were forced to get their education online. This pandemic demonstrated that the Turkish higher education system was not well-prepared for a crisis of this proportion, nor was it ready for effective online teaching. High-quality online education is a fact of life now, and administrators, as well as faculty members have an important task on hand. In this opinion piece, 1 offered some ideas about improving the quality of online education, and discussed other impacts of this pandemic on higher education, along with some warnings. I believe this pandemic offers an opportunity for the outdated higher education system worldwide and the universities (and countries) that adopt quickly will be the winners.
Detecting the Effect of Voice-Over in Tv Ads Via Optic Brain Imaging (fnirs) and In-Depth Interview Methods
(2016) Çakar, Tuna; Girisken, Yener
Voice-overs are used extensively to increase the effectiveness of the TV ads especially in the last decade. The main purpose is to provide the brand message via a clear feature that will inevitably grab the attention of the viewers. The current study contains the neuro tests of 12 TV ads in banking and finance sectors on 168 participants in 8 groups. Optic brain imaging (fNIRS) and in-depth interviews were the methodologies utilized during the test of these TV ads. The obtained results indicate that the use of voice-over during the TV ads possibly causes the decrease in attention and emotional engagement levels of the participants.
Citation - WoS: 1
Citation - Scopus: 2
Determining and Evaluating New Store Locations Using Remote Sensing and Machine Learning
(Tübitak, 2021) Ünsalan, Cem; Turgay, Zeynep Zerrin; Küçükaydın, Hande; Höke, Berkan
Decision making for store locations is crucial for retail companies as the profit depends on the location. The key point for correct store location is profit approximation, which is highly dependent on population of the corresponding region, and hence, the volume of the residential area. Thus, estimating building volumes provides insight about the revenue if a new store is about to be opened there. Remote sensing through stereo/tri-stereo satellite images provides wide area coverage as well as adequate resolution for three dimensional reconstruction for volume estimation. We reconstruct 3D map of corresponding region with the help of semiglobal matching and mask R-CNN algorithms for this purpose. Using the existing store data, we construct models for estimating the revenue based on surrounding building volumes. In order to choose the right location, the suitable utility model, which calculates store revenues, shouldbe rigorously determined. Moreover, model parameters should be assessed as correctly as possible. Instead of using randomly generated parameters, we employ remote sensing, computer vision, and machine learning techniques, which provide a novel way for evaluating new store locations.
Examining the Relations Between Employees' Perception of Corporate Social Responsibility, Customer Orientation and Perceived Performance
(Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 2022) Köse, Şirin Gizem; Enginkaya, Ebru
Günümüz şartlarında, hangi sektörde faaliyet gösterdikleri fark etmeksizin tüm sektörlerrekabet avantajı kazanmak için kurumsal sosyal sorumluluğu etkin olarakkullanmaktadır. Kurumsal sosyal sorumluluk araştırmaları çoğunlukla tüketicilerinalgısında yoğunlaşmıştır, konuya çalışanların bakış açısına ihtiyaç bulunmaktadır. Buçalışma çalışanların kurumsal sosyal sorumluluk algısının, müşteri odaklılık vealgılanan performans ile ilişkisini incelemektedir. 218 çalışandan elde edilen verilerKısmi En Küçük Kareler (PLS) Yapısal Eşitlik Modellemesi tekniği ile analiz edilmiştir.Sonuçlar çalışanların KSS algısının tüm boyutlarının müşteri odaklılık ve algılananperformans ile pozitif ilişkili olduğunu göstermektedir. Algılanan performansı açıklayanen güçlü değişken algılanan çevresel KSS aktiviteleriyken, müşteri odaklılığı açıklayanen güçlü değişken algılanan etik KSS aktiviteleridir. Ayrıca, müşteri odaklılık, algılananperformans ile pozitif ilişkilidir. Sonuçlar çalışan-temelli KSS ve onun olası pozitifsonuçları için yararlı içgörüler sunmaktadır. Ayrıca çalışma sonuçları ile çalışan temelliKSS'deki araştırma boşluğunu doldurmayı ve bunun pazarlama ile ilgili çıktılarüzerindeki etkisini incelemeyi hedeflemektedir.
Citation - WoS: 1
Facial Emotion Recognition Using Residual Neural Networks
(2024) Kırbız, Serap
Facial emotion recognition (FER) has been an emerging research topic in recent years. Recent automatic FER systems generally apply deep learning methods and focus on two important issues: lack of sufficient labeled training data and variations in images such as illumination, pose, or expression-related variations among different cultures. Although Convolutional Neural Networks (CNNs) are widely used in automatic FER, they cannot be used when the number of layers is large. Therefore, a residual technique is applied to CNNs and this architecture is named residual neural network. In this paper, an automatic facial emotion recognition method using residual networks with random data augmentation is proposed on a merged FER dataset consisting of 41,598 facial images of size 48 × 48 pixels from seven basic emotion classes. Experimental results show that ResNet34 with data augmentation performs better than CNN with a classification accuracy of 81%.
Heidegger's Conception of Poetic Dwelling Through Appropriation of History
(Beytülhikme Felsefe Çerçevesi, 2021) Keki, Başak
This paper explores the significance of poetic dwelling in Martin Heidegger's later thought in terms of its relevance to the essence of truth and his notion of the fourfold as world's disclosure. Heidegger emphasizes that the poetic provides us with a better understanding of our modern era, which is notable by the oblivion of Being. He regards history as a homecoming, which manifests itself when we remember that we are in a dialogue with the destining of Being. After clarifying the relationship between poetic dwelling and appropriation of history whilst referring to Friedrich Holderlin's hymn, "The Ister" ("Der Ister"), this paper argues that according to Heidegger, the precondition of participating in history is learning to listen and respond to the address of Being; which is only possible via the poetic which enables us to feel home and genuinely dwell on this earth.
Investigating the Appropriateness of a Course Evaluation Model: Preservice Teachers Flipped Learning Experience
(Anı Yayıncılık, 2025) Birgili, Bengi; Aydın, Utkun; Kurban, Caroline Fell
Parlett and Hamilton’s (1972) Illuminative Evaluation Model (IEM) was adopted to research course evaluation in flipped learning environments. An integrated data set, including teaching videos, interviews from 17 preservice teachers, and course materials, was collected and analyzed in an educational sciences course. Both quantitative and qualitative data showed that this model, within its learning milieu and instructional systems aspects, had the potential to be a suitable method for instructors to evaluate the quality of their flipped courses. These relationships between the learning milieu and instructional systems provide evidence of the complexity of evaluation. This study demonstrates how the IEM helps uncover the design of a flipped educational sciences course and offers a suitable model for flipped course evaluation. Finally, the implications of this study for general instructional design are discussed.
Mention Detection in Turkish Coreference Resolution
(Tubitak Scientific & Technological Research Council Turkey, 2024) Demir, Seniz; Akdag, Hanifi Ibrahim
A crucial step in understanding natural language is detecting mentions that refer to real-world entities in a text and correctly identifying their boundaries. Mention detection is commonly considered a preprocessing step in coreference resolution which is shown to be helpful in several language processing applications such as machine translation and text summarization. Despite recent efforts on Turkish coreference resolution, no standalone neural solution to mention detection has been proposed yet. In this article, we present two models designed for detecting Turkish mentions by using feed-forward neural networks. Both models extract all spans up to a fixed length from input text as candidates and classify them as mentions or not mentions. The models differ in terms of how candidate text spans are represented. The first model represents a span by focusing on its first and last words, whereas the representation also covers the preceding and proceeding words of a span in the second model. Mention span representations are formed by using contextual embeddings, part-of-speech embeddings, and named-entity embeddings of words in interest where contextual embeddings are obtained from pretrained Turkish language models. In our evaluation studies, we not only assess the impact of mention representation strategies on system performance but also demonstrate the usability of different pretrained language models in resolution task. We argue that our work provides useful insights to the existing literature and the first step in understanding the effectiveness of neural architectures in Turkish mention detection.
Citation - WoS: 2
Citation - Scopus: 3
Reforming Higher Education Finance in Turkey: the Alumni-Crowdfunded Student Debt Fund "a-Csdf" Model
(TEDMEM, 2016) Son-Turan, Semen
This study presents an innovative and sustainable system formobilizing Turkish university alumni to contribute to acrowdfunded pool repackaged as a student debt instrument withan elaborate performance tracking tool, various payoff structuresand income-contingent repayment schedules. The ultimate aim isto offer a remedy for the conspicuous global shortage ofalternative finance sources and various forms of aid to highereducation students in the short-term, and, through enablingequitable and egalitarian access to quality higher education,transforming society and enhancing economic development in thelonger-term. The model rests upon a six-dimensional frameworkand its infrastructure is facilitated by a newly emerged form ofdigitally enhanced financing, “crowdfunding”. The researchmethod involves content analysis and data triangulation forvalidation purposes to determine the sub-themes surrounding thehigher education problem in Turkey. The theme-driven keywordsare searched for on Turkey’s first original social network, EksiSozluk, to uncover trends and biases towards student loans, debtrepayment and associated concepts. Subsequently, the samekeywords are utilized in a Google Trends search volume analysis,and are finally validated by a focus group discussion. Thetheoretical framework to explain students’ attitudes towardsborrowing and loan repayment and the motivation behind alumniand charitable giving, rests mainly on behavioral economics. TheA-CDSF Model uniquely addresses the higher education financeproblem in Turkey and offers an easily implementable originalsolution for institutions and policy makers.
Citation - WoS: 2
Citation - Scopus: 2
Stancetaking in Spoken Elf Discourse in Academic Settings: Interpersonal Functions of I Don’t Know as a Face-Maintaining Strategy
(Hacettepe University, 2021) Çiftçi, Hatime; Akbaş, Erdem
Our study examines interpersonal functions enacted through a stance marker in spoken ELF academic discourse. We specifically focus on investigating the functions of I don’t know in an academic speech event by embracing an interpersonal pragmatics and sociolinguistics perspective to figure out how it contributes to the act of stancetaking as an intersubjective activity. We have examined 14 interactions of doctoral defense discussions from the ELFA corpus. Our detailed discourse analysis of these doctoral defense discussions has revealed five distinctive interpersonal functions of the stance marker I don’t know allowing speakers to construct their stance and adopt a face-maintaining strategy in the ongoing spoken discourse: prefacing a suggestion, seeking acceptance, hedging/mitigating, checking agreement, and expressing uncertainty. Considering the highly-context dependent and context-regenerated functions of I don’t know, our study attempts to delve into the relational and interpersonal aspect of communication, and thus contributes to research in this strand by disclosing the interpersonal functions of stancetaking as an intersubjective activity with a particular focus on ELF academic discourse.
Citation - WoS: 2
Sürdürülebilir Bir Kurumsal Akademik Arşiv Yönetimi: Doğuş Üniversitesi Akademik Arşiv Sistemi Deneyimi
(Deomed, 2019) Çelik, Ramazan; Çelik, Sönmez
Bu çalışma, sürdürülebilir bir kurumsal akademik arşiv yönetimini Doğuş Üniversitesi Akademik Arşiv Sistemi deneyimi ile paylaşmak, bu konudaki girişimlere yardımcı olmak ve kurumsal akademik arşivlerin önemini vurgulamak üzere hazırlanmıştır. Çalışmada betimsel yöntem kullanılmıştır. Bu çerçevede dünyada ve Türkiye’deki kurumsal akademik arşivler, harmanlama sistemleri ve Doğuş Üniversitesi Akademik Arşiv Sistemi uygulamaları üzerinde durulmuştur.
The Future of Türkiye-NATO Relations in Light of the Strained Transatlantic Dialogue
(Seta Foundation, 2025) Kibaroğlu, Mustafa
This commentary aims to assess the impact of the changing approach of the U.S. under Trump's second administration on transatlantic relations, the future of NATO, its engagement in the war in Ukraine, and the prospects for further expansion toward the east. The paper also aims to shed light on how these developments may affect the future of Türkiye-NATO relations. While Türkiye remains a critical NATO member due to its strategic geography and military capabilities, domestic skepticism towards the Alliance has grown in response to unresolved disputes and perceived double standards. The commentary ultimately underscores that Türkiye’s future in NATO will depend on the Alliance’s ability to reconcile internal divisions, recalibrate its strategic vision, and balance Türkiye’s security concerns with broader transatlantic priorities. © 2025, SETA Foundation. All rights reserved.
Citation - WoS: 1
Citation - Scopus: 3
The Importance of Rural, Township, and Urban Life in the Interaction Between Social and Emotional Learning and Social Behaviors
(EDAM (Educational Consultancy and Research Center), 2014) Kıyar, Fatma; Totan, Tarık; Atalay, Zümra; Deniz, M. Engin
Whether an individual lives in a rural or urban setting may have direct impact on a wide variety of psychological patterns adopted by students. In this study, the effects of positive and negative social behaviors on the relationship between social and emotional learning needs and skills gaps of students who reside in both rural and urban areas have been examined. The participants of this research consist of 348 female and 319 male students, forming a total of 667 middle school students living in the province of Çanakkale, Turkey as well as in its surrounding areas. The Matson Social Skills Evaluation Scale, the Social-emotional Learning Scale, the Social and Emotional Learning Skills Scale, and personal information form were used to collect data for this research. The Baron and Kenny’s approach and the Sobel test were followed during the examination of the model created in the data analysis process. The mediator test examined the effects of positive and negative social behaviors in relationship to students’ level of social and emotional learning needs and social and emotional learning skills. As a result of this test, it was found that both positive and negative social behaviors exert partial mediation effects over students living in rural and urban areas of the province of Turkey researched.

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