Türk-Alman Üniversitesi Kurumsal Akademik Arşivi
DSpace@TAÜ, Türk-Alman Üniversitesi tarafından doğrudan ve dolaylı olarak yayınlanan; kitap, makale, tez, bildiri, rapor, araştırma verisi gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar, Üniversitenin akademik performansını izlemeye aracılık eder, kaynakları uzun süreli saklar ve telif haklarına uygun olarak Açık Erişime sunar.
Güncel Gönderiler
The Tailed Signature of Cânibî Ali Pasha, Ottoman Ambassador to Vienna
(2024) Ercan, Hüseyin Onur
Ali Pasha (no later than 1690‑20 April 1743), with the byname “Cânib”, which means inspection officer at the Naval Arsenal, ascended in the Arsenal chancery. He was re-garded as a prudent financial expert. Ali Pasha was sent as grand ambassador by the Sublime Porte to the Habsburg residence in 1740 for the reconstruction and renewal of Ottoman-Austrian relations after the 1739 Treaty of Belgrade. He was a powerful Otto-man bureaucrat whose career reached as far as Egypt, and had close relations with Sultan Mahmud I and Hekimoğlu Ali Pasha, one of the grand viziers of the period. In the same year and for the same reason, the Habsburg grand ambassador Count Ulfeld was dispatched to Istanbul. These reciprocal diplomatic missions marked the last exchange of great ambassadors, and in terms of delegations, are the largest in the history of Ottoman Habsburg diplomatic relations.
The Examination of the Association between Meta-Emotions and Psychological Symptoms
(2025) Duman, Adalet; Bahtiyar, Başak
Introduction: Cryptocurrencies are digital assets that differ from traditional currencies in their unique characteristics. An increasing number of individuals are showing interest in cryptocurrency trading and spending long hours engaged in this activity. Current studies point out that some behaviors of cryptocurrency investors may be associated with problematic mental health outcomes. The present study aims to investigate problematic cryptocurrency trading behaviors and to examine these behaviors in terms of gambling disorder and psychological risk factors. Methods: Two hundred four volunteered participants whose ages ranged between 18 and 65 years (mean = 31.62, SD = 6.95) were recruited. For data collection, the Problematic Cryptocurrency Trading Scale, Problem Gambling Severity Index, Eysenck Personality Questionnaire Revised – Abbreviated Form, UPPS Impulsive Behavior Scale, and Positive and Negative Affect Schedule were administered. Results: Findings demonstrated that participants exhibiting symptoms of problematic cryptocurrency trading had higher levels of problem gambling severity, negative emotions, extraversion, and urgency, along with lower levels of premeditation and perseverance. Additionally, the linear regression with backward elimination revealed that problem gambling severity and extraversion are associated with problematic cryptocurrency trading. Conclusion: These findings suggest that greater engagement in cryptocurrency speculation may be associated with increased gambling behaviors and that both activities could be linked to underlying personality traits, impulsivity, and negative emotions.
STANDORTPLANUNG EINER WINDKRAFTANLAGE: EINE FALLANALYSE AUS DER TÜRKEI
(2024) Özdoğar, Seda Deniz; Aylak, Batin Latif; Taş, Mehmet Ali; Van, Yunus Emre
Der Konsum hat aufgrund des Anstiegs der Weltbevölkerung und des Wirtschaftswachstums rapide zugenommen. Der Anstieg des Verbrauchs hat zu einem Anstieg des Energiebedarfs geführt. Man geht davon aus, dass diese Situation durch Lösungen wie mehr Energieproduktion und effizientere Energienutzung bewältigt werden kann. Allerdings sollten bei der Entwicklung dieser Lösungen auch die Nachhaltigkeit und Umweltauswirkungen des Energiesektors berücksichtigt werden. In diese Richtung nimmt die Nutzung der Windenergie weltweit zu. Die Türkei gehört aufgrund seiner Lage zu den am besten geeigneten Ländern des Windenergiepotenzials. Ziel dieser Studie ist es, die aktuelle Situation von Windparks in der Türkei zu untersuchen. Zu diesem Zweck wird die Standortbestimmung der geplanten Windkraftanlage in Tekirdağ, einer der Provinzen mit dem höchsten Potenzial in der Türkei, mit multikriteriellen Entscheidungsunterstützungs (MCDM)-Ansätzen diskutiert. Die zehn Faktoren, die bei der Windparkinstallation bewertet werden können, wurden durch Literaturrecherche und Feedback von Experten ermittelt und die Gewichte dieser Faktoren mit der AHP berechnet. Mithilfe von Gewichten und TOPSIS werden zehn Standorte in Tekirdağ im Hinblick auf die Anwendbarkeit von Windparks aufgelistet. Infolgedessen wurde der Standort 22 km vom Bezirk Şarköy entfernt als am besten geeigneter Punkt ermittelt. Ziel ist es, dass die Studie in Zukunft zu Studien zur nachhaltigen Energiebewertung beitragen wird.
ABDÜLHAK HÂMİD HATIRALARINDA VICTOR HUGO ETKİSİ
(2020) Akar, Gül Ayşe; Arslan, Nihayet
Tanzimat dönemi ele alındığında Victor Hugo’nun her şair ve yazarımıza ayrı ayrı etki ettiğini söyleyebiliriz. Kimi ona eleştirel bir tarzda yaklaşmış kimi ondan esintileri edebiyatımıza
taşımış kimi de birebir taklide kaçmıştır. 19. yüzyılda felsefe ve sanatı saran akımın etkisiyle tüm dünyada romantizmin babası olarak bilinen Jean Jacques Rousseau’dan hemen sonra anılan Victor Hugo çağının yükselen yıldızı olmuştur. Onun bu yükselişi Osmanlı’da da yankı bulmuş, pek çok Osmanlı şair ve yazarına gerek hayatıyla gerekse eserleriyle ilham olmuştur. Tanzimat Edebiyatı’nda Victor Hugo etkisiyle en çok anılan isim Namık Kemal’dir. Oysa onun
dışında bu etkiyi memlekete taşıyan pek çok isim vardır. Gerçi bazıları Namık Kemal’in izinden giderek ona varmışlardır. Ebüzziya Tevfik bunlardan biridir. Rodos’ta sürgündeyken
yazdığı dram Habîbe yahut Semahât-ı Aşk isimli eseri, Victor Hugo’nun Anjélo ou le tyran de Padou adlı eserinden adaptedir. Beşir Fuad’ın Victor Hugo biyografisi, Şemseddin Sami’nin
Sefiller tercümesi gibi eserleri sayesinde Hugo yavaş yavaş Osmanlı’da tanınmaya başlar. Beşir Fuad’ın esas derdinin romantizm eleştirisi yapmak olması onun Osmanlı içinde tartışılmasına sebep olur. Öyle ki Fazlı Necib ve Muallim Nâci ile Victor Hugo üzerinden
güncel edebi konular üzerine mektuplaşmaya başlamışlardır. Daha sonra bu mektuplardan Muallim Naci ile olanları İntikad, Fazlı Necib ile olanları ise Mektûbât adını vererek yayınlar.
Strategic Energy Project Investment Decisions Using RoBERTa: A Framework for Efficient Infrastructure Evaluation
(2026) Özkan, Recep; Tokdemir, Onur Behzat; Toğan, Vedat; Kadıoğlu, Fethi; Mostofi, Fatemeh
The task of identifying high-value projects from vast investment portfolios presents a major challenge in the construction industry, particularly within the energy sector, where decision-making carries high financial and operational stakes. This complexity is driven by both the volume and heterogeneity of project documentation, as well as the multidimensional criteria used to assess project value. Despite this, research gaps remain: large language models (LLMs) as pretrained transformer encoder models are underutilized in construction project selection, especially in domains where investment precision is paramount. Existing methodologies have largely focused on multi-criteria decision-making (MCDM) frameworks, often neglecting the potential of LLMs to automate and enhance early-phase project evaluation. However, deploying LLMs for such tasks introduces high computational demands, particularly in privacy-sensitive, enterprise-level environments. This study investigates the application of the robustly optimized BERT model (RoBERTa) for identifying high-value energy infrastructure projects. Our dual objective is to (1) leverage RoBERTa’s pre-trained language architecture to extract key information from unstructured investment texts and (2) evaluate its effectiveness in enhancing project selection accuracy. We benchmark RoBERTa against several leading LLMs: BERT, DistilBERT (a distilled variant), ALBERT (a lightweight version), and XLNet (a generalized autoregressive model). All models achieved over 98% accuracy, validating their utility in this domain. RoBERTa outperformed its counterparts with an accuracy of 99.6%. DistilBERT was fastest (1025.17 s), while RoBERTa took 2060.29 s. XLNet was slowest at 4145.49 s. In conclusion, RoBERTa can be the preferred option when maximum accuracy is required, while DistilBERT can be a viable alternative under computational or resource constraints.
