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.
Citation - Scopus: 9
Bilinçli-farkındalık Temelli Öz-yeterlik Ölçeği-yenilenmiş (bföö-y): Türkiye Uyarlama Çalışması
(2017) Taylan, Rukiye Didem; Bulgan, Gökçe; Atalay, Zümra; Aydın, Utkun
Bu araştırmanın amacı, Cayoun, Francis, Kasselis ve Skilbeck (2012) tarafından geliştirilen "Bilinçli- Farkındalık Temelli Öz-yeterlik Ölçeği-Yenilenmiş"i (Mindfulness-Based Self Efficacy Scale-Revised) Türkçe'ye uyarlayarak geçerlik ve güvenirliğini araştırmaktır. Özgün ölçek İngilizce'dir ve altı boyutta toplam 22 maddeden oluşan beşli likert tipi bir ölçme aracıdır. Uyarlanan Türkçe form iki farklı devlet okulunun 5., 6. ve 7. sınıflarında okuyan 713 öğrenciye uygulanmıştır. Tüm ölçek (?= .72) ve ölçeğin Duygu Düzenleme (?= .73), Duygusal Denge (?= .68), Sosyal Beceriler (?= .65), Sıkıntı Tahammülü (?= .62), Sorumluluk Alma (?= .61) ve Kişilerarası Etkenlik (?= .65) alt boyutları için Cronbach Alfa içtutarlık katsayıları her bir alt boyutta yer alan düşük madde sayısı göz önüne alındığında kabul edilebilir seviyededir. Ayırt edici geçerlik analizleri kız ve erkeklerin bilinçli-farkındalık temelli öz-yeterlik ortalama puanları arasında anlamlı bir fark olmadığını gösterirken sınıf düzeyi açısından anlamlı farklılıklar gözlemlenmiştir. Analiz sonuçları, Türkçe'ye uyarlama çalışması gerçekleştirilen bu ölçeğin öğrencilerin bilinçli-farkındalık temelli öz-yeterlik düzeylerini belirlemede geçerli ve güvenilir bir ölçme aracı olduğunu göstermektedir. Sonuçların kuramsal ve yöntemsel uygulamaları tartışılmıştır
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.
Citation - Scopus: 9
Çocuklarda Sınav Kaygısı Ölçeği'nin Türkçe Uyarlaması
(İlköğretim Online, 2017) Bulgan, Gökçe; Aydın, Utkun
The purpose of this study was to adapt the “Children’s Test Anxiet Scale (CTAS)” developed by Wren and Benson (2004) into Turkish. The original scale was in English and comprised of three factors including 30 items. Seven experts were involved in the adaptation process to translate the scale into Turkish and then back to English for providing evidence based on the consistency between the two forms. Following the translation process, a pilot study was conducted and the scale was given its final form. The Turkish form was administered to 1100 students who were attending to 3rd, 4th, 5th, and 6th grade classes in 3 public schools. Findings regarding the construct validity of the scale, which were obtained from the confirmatory analysis, supported the three-factor structure of the original scale. Subdimensions of the scale were Thoughts, Off-Task Behaviors, and Autonomic Reactions. Cronbach Alpha coefficients for the overall scale (???= .88) as well as the subdimensions of Thoughts (???= .82), Off-Task Behaviors (???= .72), and Autonomic Reactions (???= .75) were substantial in size. Regarding the discriminant validity analyses, there were no significant gender differences in students’ test anxiety while there were significant grade level differences. These results demonstrated that the Turkish version of the scale is a valid and reliable instrument, which may serve as useful in measuring elementary school students’ test anxiety levels. Directions for future research and practical implications for educational practice are discussed in terms of mathematics education.
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: 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.
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%.
Citation - Scopus: 1
Les Conventions Préparatoires
(Istanbul University Press, 2024) Işıntan, Pelin
La phase précontractuelle est une zone grise, difficile à cerner et gouvernée par la liberté contractuelle. Les parties sont libres d’organiser leurs pourparlers conventionnellement et s’imposer des devoirs contractuels même en période précontractuelle. Par convention précontractuelle nous entendons un acte bilatéral qui vise la conclusion du contrat négocié. Puisque le Code des Obligations turc ne consacre pas une section spécifique aux pourparlers les parties ont grand intérêt à organiser cette phase et définir les règles à suivre et leurs comportements réciproques. Les parties peuvent former des actes précontractuels sous des formes et avec des contenus très variés. Nous allons nous limiter aux actes bilatéraux conclus entre les parties puisque nous examinons les conventions préparatoires. Par conséquent, les actes unilatéraux tels que la lettre d’intention envoyée par l’une des parties avec l’intention de débuter les pourparlers ne seraient pas traités dans cet article. Ainsi nous envisageons une étude sur les conventions précontractuelles en tenant compte de leur effet obligatoire. Dans un premier temps, nous traiterons les conventions qu’on pourrait appeler les contrats préparatoires qui créent un effet obligatoire pour au moins une des parties, et ensuite nous examinerons les conventions munies d’un tel effet.
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.
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.
Citation - WoS: 4
Citation - Scopus: 5
Time - Cost Relationships for Superstructure Projects in Turkey
(TMMOB İnşaat Mühendisleri Odası, 2020) Dikmen, Seyyit Ümit; Akbıyıklı, Rıfat; Sönmez, Murat
The concept of time-cost relationship in construction projects was first introduced by Bromilow. Bromilow used the data of the superstructure projects completed in Australia in the creation of the proposed time-cost model (BTC model). The aim of this study is to determine the time-cost relationship of superstructure projects in Turkey. Time and cost data of superstructure projects completed between the years of 1999-2018 was used in the study. Data was grouped primarily on the basis of the intended use of buildings (individual buildings, educational buildings, hospitals, industrial buildings and social housing), and then time-cost relationships were separately determined for each group. In addition, the effects of the parameters such as exchange rates and the number of non-working days on the time-cost relationship were investigated statistically.
Citation - WoS: 4
Citation - Scopus: 6
Turkey's Green Imagination: the Spatiality of the Low-Carbon Energy Transition Within the Eu Green Deal
(Uluslararasi Iliskiler Konseyi Dernegi, 2023) Akçalı, Emel; Özel, Soli; Görmüş, Evrim
This article asks the extent to which the EU Green Deal influences the EU periphery today and builds on the spatial conditions of multiple, co-existing decarbonization pathways within the EU Green Deal while problematizing the 'green imagination' of Turkey as an immediate neighbour and a candidate country for membership in the EU. As such, it uncovers that the current low-carbon transition process in Turkey is prone to be shaped by the highly politicized energy market in an authoritarian neoliberal structure on the one hand, and Turkey's priorities in energy issues and hard security on the other. The findings further reveal that Turkey's efforts to use more domestic energy resources to meet its consumption needs might also interfere with its efforts and obligations to decarbonize its energy sector. The scrutiny into the low-carbon energy transition in Turkey accordingl contributes further insight into the consequences of the spatiality of such transitions in an authoritarian neoliberal context, and what other alternative policies can be imagined and put in practice. Thus, more empirical research is warranted to reveal the spatiality of the low-carbon energy transition across various geographical settings. At the same time, the article argues that both the EU and its partners such as Turkey should be weary of creating green utopias when redesigning their green-energy space since utopias tout court may not always stimulate large-scale change in a revolutionary way in terms of sustainability, feasibility, good practice, and inclusiveness in decision-making processes.
Citation - WoS: 1
Citation - Scopus: 1
Understanding the Psychological and Financial Correlates for Consumer Credit Use;
(Sosyoekonomi Society, 2024) Ertuğrul, Seyit; Sayar, Alperen; Şahin, Türkay; Çakar,Tuna
This study investigated the behavioural and cognitive predictors of consumer credit usage to develop a behavioural credit risk assessment procedure for a factoring company. Participants completed surveys measuring personality traits, self-esteem, material and monetary values, compulsive and impulsive buying tendencies, self-control, and impulsiveness. Financial surveys also assessed financial literacy and knowledge of financial concepts. The results indicated that extraversion, conscientiousness, emotional stability, and experiential self-control were significant predictors of consumer credit usage. These findings suggest that a finance company can use these personality traits and financial characteristics to develop a more accurate and effective credit risk assessment procedure, such as psychometric tests. © 2024, Sosyoekonomi Society. All rights reserved.
Citation - WoS: 1
Citation - Scopus: 1
Us Policies Adrift in a Levant in Turmoil
(Stradigma, 2018) Özel, Soli; Görmüş, Evrim
The Levant has constituted one of the core areas of interest for US foreign policy since the Second World War. The aim of this article is to shed light on the US policies towards the Levant, mostly during the last two American administrations, to understand how the vicissitudes of the region and of American politics made Washington’s policy towards the Levant look biased, at times incompetent, and most importantly inconsistent. This article examines the changes in approach to the region as a whole from one administration to the next on issues such as the protection of Israel’s sovereignty, supporting friendly regimes, fighting terrorism, and containing Iran. The hesitations and shifts in policy towards Syria are given a longer treatment as they speak both to the yet not finalized American policy towards the Levant but also to show how the US has shifted track and moved away from unseating President Assad to focus more on containing and if possible rolling over Iran.
Citation - Scopus: 2
Uygulamada Okulda Üniversite Modeli: Öğretmen Eğitimine Katkıları
(SOSED Bütüncül Eğitim Danışmanlık & Yayıncılık, 2018) Tunç-Pekkan, Zelha; Karagöz-Akar, Gülseren; Akcan, Sumru
"Okulda Üniversite" modeli altı boyutlu bir sistem olarak, akademisyenlerin sahada öğretmenlik yapmasının yanı sıra öğretmen eğitimine ilişkin bütün unsurları içerecek şekilde tasarlanmıştır (Özcan, 2013). Bu model, MEF Üniversitesi ve Boğaziçi Üniversitesi Eğitim Fakültesi öğretim üyeleri tarafından dezavantajlı bir ilkokul ve ortaokulda uygulanmıştır. Bu çalışmada üç farklı deneyim incelenmektedir: matematik öğretmenliğine giriş dersi kapsamında öğretmen adaylarının kazanımları, matematik eğitimcisi bir akademisyenin 6. Sınıf matematik dersi kapsamında öğretmenlik yaparak elde ettiği kazanımlar ve staj yapan son sınıf İngilizce öğretmen adayları ve öğretim üyesi tarafından ilkokul 3. sınıfın İngilizce dersinde yürütülen öğretim konusunda bilgi verilmektedir.Bu farklı deneyimlerde gözlemlenen ve yaşanan zorluklar ve bu zorlukları aşmak için yaratılan yaklaşımlar paylaşılmaktadır. Son olarak Okulda Üniversite modelinin okul üniversite işbirliğine sağlayacağı katkılar tartışılmıştır.
War as the True Adversary and Türkiye’s Pivotal Role in Forging Peace
(SETA Foundation, 2024) Çağlar, Barış
The central thesis of this article depends on deterrence theory and posits that nuclear war, rather than any specific nation or faction, constitutes the true adversary in the Russia-Ukraine conflict and that averting nuclear escalation must be prioritized above all else. After establishing the rationale for this position, the commentary offers a critical analysis of both Western and Russian policies, highlighting their role in intensifying the conflict without sufficiently accounting for the risks of nuclear confrontation. As an alternative peaceful path, the article examines the Turkish approach as a concise applied case study, emphasizing its balanced diplomatic and military engagement with both Ukraine and Russia. Through its promotion of dialogue and facilitation of peace negotiations, Türkiye exemplifies a strategic approach to conflict resolution that aims not only to prevent further escalation —especially the threat of nuclear conflict— but also to pave the way toward sustainable peace. © 2024, SETA Foundation. All rights reserved.

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