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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  • Article
    Suçluluktan Tiksintiye: Türkiyeli ve Belçikalı Katılımcılarda Obsesyonların Ahlaki-Duygusal Profili
    (Association for Clinical Psychology Research, 2025) Ozcanli, Fulya
    Son yıllarda artan çalışmalar, obsesif-kompulsif bozukluğun ahlakla yakından ilişkili olduğunu göstermektedir. Ancak mevcut psikolojik modeller, ahlaki duyguların bu bozukluğun etiyolojisi ve tedavisindeki rolünü çoğunlukla göz ardı etmektedir. Bu çalışma, farklı ahlaki vurgulara sahip iki kültürde çeşitli obsesyon türlerine ilişkin temel ahlaki duyguları incelemektedir. Araştırmanın örneklemini, Türkiye’den 362 (Ort. = 20.75, %86 kadın) ve Belçika’dan 247 (Ort. = 18.40, %84 kadın) üniversite öğrencisi oluşturmuştur. Katılımcılar, dört obsesyon alanına (saldırganlık, cinsellik, bulaş/kirlenme ve simetri/kesinlik) ilişkin ifadelere dayalı olarak yedi duygunun—utanç, suçluluk, mahcubiyet, öfke, küçümseme, tiksinme ve korku—deneyimlenme sıklığını değerlendirdiler. Obsesyon boyutları, Leuven Obsesif Düşünceler Envanteri (LOII-R) ile ölçülmüş ve ahlaki duyguları değerlendirmek amacıyla bu çalışma kapsamında yeni bir ölçek geliştirilmiştir. Ana- lizler, suçluluk, utanç, tiksinti ve öfkenin her iki kültürde yaygın olduğunu ancak sıklıklarının farklılık gösterdiğini ortaya koymuştur. Saldırganlık obsesyonları ve simetri/kesinlik şüpheleri her iki kültürde de suçluluk, öfke ve korku ile ilişkilendirilmiştir. Ancak, cinsel ve bulaş/kirlenme obsesyonlarında kültürel farklılıklar gözlenmiştir. Türk katılımcıların bu obsesyonlara karşı daha yüksek düzeyde tiksinti ifade ettiği ve cinsel obsesyonlar karşısında Belçikalı katılımcılara kıyasla daha fazla utanç, suçluluk ve mahcubiyet hissettikleri bulunmuştur. Bu sonuçlar, özellikle Türk kültüründe kutsallık ve temizlik temelli değerlerin ahlaki sistemde daha merkezi bir rol oynadığını düşündürmektedir. Çalışma genel olarak, obsesyonların belirli ahlaki duygularla nasıl ilişkilendiğini ve bu ilişkinin obsesyon türüne göre farklılık gösterdiğini ortaya koymaktadır. Bulgulardaki kültürel farklılıklar, her kültürün ahlaki önceliklerini yansıtmakta ve bu etkiler özellikle Türk örnekleminde daha belirgin görünmektedir.
  • Other
    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.
  • Other
    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.
  • Article
    Citation - WoS: 1
    Facial Emotion Recognition Using Residual Neural Networks
    (Aves, 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%.
  • Article
    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.
  • Article
    Citation - Scopus: 1
    Les Conventions Préparatoires
    (Istanbul University Press, 2023) 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.
  • Article
    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; Ertuğru, Seyit
    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.
  • Article
    Citation - Scopus: 9
    Bilinçli-farkındalık Temelli Öz-yeterlik Ölçeği-yenilenmiş (bföö-y): Türkiye Uyarlama Çalışması
    (Ankara University, 2017) Taylan, Rukiye Didem; Bulgan, Gökçe; Atalay, Zümra; Aydın, Utkun; Özgülük, S. Burcu; Burcu Özgülük, S.
    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
  • Article
    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.
  • Article
    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.