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Developing CCUS in Mediterranean Region – Technical Evaluation of Promising Value Chains
Full text linkMOTİVASYONEL İÇSELCİLİK VE DIŞSALCILIK ÜZERİNE BİR ANALİZ: İKİLEMİN İNCELENMESİ
No full textThis study critically examines the relationship between moral judgments and motivation from the viewpoints of motivational internalism and externalism. While internalism asserts that moral judgments inherently generate motivation, externalism argues that motivation is contingent upon external psychological and situational factors. This dissertation challenges the rigid dichotomy between these positions and seeks to offer a more nuanced understanding of moral motivation by conducting a thorough examination of historical and contemporary debates.
By integrating philosophical arguments with empirical insights from psychology and neuroscience, this research highlights the role of social, emotional, and cognitive influences on moral agency. The amoralist, who acknowledges moral judgments without corresponding motivation, is a crucial test case that reveals the constraints of internalist frameworks. Additionally, this dissertation briefly examines the potential for moral motivation questions to be extended to discussions on moral responsibility and cross-cultural moral psychology, highlighting the meta-ethical discussion's wider relevance beyond theoretical debates.
This study contributes to ongoing discussions in moral psychology by examining the extent to which moral motivation depends on external rather than purely intrinsic factors. Rather than assuming an inherent link between moral judgment and motivation, this research explores how external influences—such as social context, emotional engagement, and cognitive processes—shape moral agency. It aims to establish motivational externalism as a flexible and empirically informed framework by underscoring the contingent and context-sensitive nature of moral motivation. Furthermore, it seeks to refine theoretical debates while providing perspectives that may help in understanding moral responsibility and moral conduct across different social contexts.Bu çalışma, ahlaki yargılar ve motivasyon arasındaki ilişkiyi motivasyonel içselcilik ve dışsalcılık bakış açılarından eleştirel bir şekilde incelemektedir. İçselcilik ahlaki yargıların doğası gereği motivasyon yarattığını ileri sürerken, dışsalcılık motivasyonun psikolojik veya diğer dışsal faktörlere bağlı olduğunu savunur. Bu tez, bu pozisyonlar arasındaki katı ikiliğe meydan okumakta, tarihsel ve güncel tartışmaları kapsamlı bir şekilde inceleyerek ahlaki motivasyon hakkında daha incelikli bir anlayış sunmayı amaçlamaktadır.
Felsefi argümanları psikoloji ve nörobilimden elde edilen ampirik bilgilerle bütünleştiren bu araştırma, ahlaki eylemlilik üzerinde sosyal, duygusal ve bilişsel etkilerin rolünü vurgulamaktadır. İlgili motivasyon olmaksızın ahlaki yargıları kabul eden amoralistin varlığı, içselci çerçevelerin kısıtlamalarını ortaya koyan önemli bir test vakasıdır. Ayrıca bu tez, ahlaki motivasyon sorularının ahlaki sorumluluk ve kültürler arası ahlaki psikoloji tartışmalarına genişletilme potansiyelini kısaca inceleyerek, bu meta-etik tartışmanın salt teorik problemlerin ötesinde daha geniş bir önemi olduğunu vurgulamaktadır.
Bu çalışma, ahlaki motivasyonun tamamen içsel faktörlerden ziyade dışsal faktörlere ne ölçüde bağlı olduğunu inceleyerek ahlaki psikolojide süregelen tartışmalara katkıda bulunmayı hedeflemektedir. Araştırma, ahlaki yargı ve motivasyon arasında içsel bir bağlantı olduğunu önvarsaymak yerine, sosyal bağlam, duygusal bağlılık ve bilişsel süreçler gibi dışsal etkilerin ahlaki eylemliliği nasıl şekillendirdiğini araştırmaktadır. Ahlaki motivasyonun olumsal ve bağlama duyarlı doğasının altını çizerek motivasyonel dışsallığı esnek ve ampirik olarak bilgilendirilmiş bir çerçeve olarak kurmayı amaçlamaktadır. Ayrıca, farklı sosyal bağlamlarda ahlaki sorumluluğu ve ahlaki davranışı anlamaya yardımcı olabilecek perspektifler sunarken teorik tartışmaları geliştirmeyi amaçlamaktadır.Ph.D. - Doctoral Progra
Markov atlamalı doğrusal sistemler ve eliptik genişletilmiş hedef takibi için özyinelemeli tanımlama algoritmaları
No full textThis thesis addresses two challenges in real-time applications: the online identification of jump Markov linear systems (JMLSs) and the recursive estimation of elliptical target extents.
For JMLSs, we develop a computationally efficient recursive expectation-maximization (EM) algorithm that leverages the conditionally linear structure of these systems, enabling higher-dimensional model identification without particle filters. State inference is performed using a multi-model filter, with simulations validating the ability of the method to identify transfer functions, noise parameters, and transition probability matrices. Compared to state-of-the-art batch EM methods, our approach offers significantly reduced computational cost, making it suitable for real-time applications.
For elliptical extended target tracking, we propose a unified framework that estimates target extent lengths and orientation. This includes a recursive EM algorithm, a log-likelihood linearization-based recursive algorithm, and a novel iterated extended Kalman filter that processes measurements in batches while maintaining order invariance. Simulations and real-world experiments demonstrate superior accuracy and efficiency compared to existing techniques.Bu tezde Markov atlamalı doğrusal sistemlerin (JMLS) çevrimiçi tanımlanması ve eliptik genişletilmiş hedeflerin özyinelemeli kestirimi konularına gerçek zamanlı uygulama çözümleri ele alınmaktadır.
Markov atlamalı doğrusal sistemler için, bu sistemlerin koşullu olarak doğrusal yapısından yararlanan, paçacık filtresine bağlı olmadığı için yüksek boyutlu model tanımlamayı olağan kılan, hesaplama açısından verimli bir özyinelemeli beklenti maksimizasyonu (EM) algoritması sunuyoruz. Durum kestirimi literatürde var olan çoklu model süzgeci ile yapılırken, transfer fonksiyonlarının, gürültü parametrelerinin ve geçiş olasılık matrislerinin kestirimi için yeni bir metod önerilmektedir. Ölçümlerin toplu işlenmesine dayanan güncel EM yöntemleriyle karşılaştırıldığında, özyinelemeli yaklaşımımız gerçek zamanlı uygulamalara uygun olmakla birlikte hesaplama maliyeti açısından da avantajlıdır.
Eliptik genişletilmiş hedef takibi için, genişletilmiş hedef yarıçaplarını ve oryantasyonunu tahmin eden bütünleşik bir çözüm öneriyoruz. Bu, özyinelemeli bir EM algoritması, log-olabilirlik doğrusallaştırma tabanlı özyinelemeli bir algoritma ve her anda gelen ölçümleri gruplar halinde işleyen, ve ölçüm sırasına bağlı olmayan yeni bir genişletilmiş Kalman süzgeci içerir. Simülasyonlar ve gerçek dünya deneylerini kullanarak, mevcut tekniklere kıyaslandığında metodun üstün doğruluk ve verimliliği gösterilmektedir.Ph.D. - Doctoral Progra
YENİDEN YORUMLANAN EKİP KAYNAK YÖNETİMİ (EKY) BİLEŞENLERİNİN TİCARİ HAVAYOLU PİLOTLARININ EMNİYETSİZ DAVRANIŞLARI ÜZERİNDEKİ ETKİSİ: GÜVENLİK İKLİMİ, YORGUNLUK VE KİŞİLİĞİN ARACI VE DÜZENLEYİCİ ROLLERİ ÜZERİNE BİR ARAŞTIRMA
No full textPilot behaviors, i.e. unsafe acts, are the direct causes of aviation accidents. Accident investigation analyses have revealed that several different factors from individual to organizational level contributed to the aviation accident occurrence. Airline companies have implemented Crew resource management (CRM) to prevent unsafe acts to improve flight safety, and CRM has been widely used since its first initiation. To enhance flight safety, it is crucial to measure both unsafe acts and Crew Resource Management (CRM), as this helps analyze their relationship and identify other factors contributing to unsafe behaviors. Existing tools to measure CRM and unsafe acts were dependent on the expert ratings requiring comprehensive training. Therefore, the need for easy-to-use measurement tools has emerged. To fill this gap, Study 1 aimed to develop self-report CRM Competency Scale by conducting interviews with 12 commercial airline pilots. The previously developed Airline Pilot Behavior Inventory was revised to capture wider aspects of unsafe acts. In the main study with 176 commercial airline pilots, factor structures of both tools were explored. Hierarchical regression analysis was conducted to examine the predictors of unsafe acts stressing the predictor roles of CRM competencies, fatigue, safety climate, and personality traits. Results showed importance of CRM competencies, personality traits, and fatigue as the predictors of the pilots’ unsafe acts. Results revealed the mediating role of safety climate and fatigue in the relationship between CRM and unsafe acts. Neuroticism, as a personality trait, played a moderating role in the relationship between CRM and unsafe acts.Pilot davranışları, bir başka deyişle emniyetsiz davranışlar, havacılık kazalarının doğrudan nedenleridir. Kaza analizleri, havacılık kazalarının meydana gelmesinde bireysel düzeyden örgütsel düzeye çeşitli faktörlerin etkili olduğunu göstermektedir. Havayolu şirketleri, emniyetsiz davranışları önlemek ve uçuş emniyetini artırmak amacıyla Ekip Kaynak Yönetimi (EKY) uygulamalarını hayata geçirmiştir ve bu uygulamalar o günden günümüze yaygın bir şekilde kullanılmaktadır. Uçuş emniyetini artırmak için hem emniyetsiz davranışların hem de EKY’nin değerlendirilmesi, bu iki unsur arasındaki ilişkiyi ve emniyetsiz davranışların diğer belirleyicilerini incelemek açısından önemli bir rol oynamaktadır. Mevcut EKY ve emniyetsiz davranış ölçüm araçları, kapsamlı eğitim gerektiren uzman değerlendirmelerine dayanmaktadır. Bu nedenle, zamanla kullanımı daha kolay ölçüm araçlarına duyulan ihtiyaç ortaya çıkmıştır. Bu boşluğu doldurmak amacıyla, Çalışma 1, 12 ticari havayolu pilotuyla yapılan görüşmeler yoluyla CRM Yetkinlik Ölçeğini geliştirmeyi hedeflemiştir. Ayrıca, mevcut Pilot Davranış Envanterinin emniyetsiz davranışları daha geniş bir bakış açısıyla inceleyecek şekilde revize edilmesi amaçlanmıştır. 176 ticari havayolu pilotunun katıldığı ana çalışmada, her iki ölçüm aracının faktör yapıları da incelenmiştir. Emniyetsiz davranışları yordayan değişkenleri değerlendirmek amacıyla hiyerarşik regresyon analizleri uygulanmıştır. Bulgular, CRM yetkinliklerinin, kişilik özelliklerinin ve yorgunluğun pilotların emniyetsiz davranışları ile ilişkisini göstermiştir. Ayrıca, CRM ile emniyetsiz davranışlar arasındaki ilişkide emniyet ikliminin ve yorgunluğun aracı rolü olduğu tespit edilmiştir. Nevrotiklik kişilik özellikleri ise CRM ile emniyetsiz davranışlar arasındaki ilişkide düzenleyici rol oynamıştır.Ph.D. - Doctoral Progra
Proposal of dual-gate oxide layered with HfO2: Comparative results with SiO2-RadFET
No full textThe aim of this study is to develop pMOS dosimeters that can exhibit high performance at high radiation doses compared to traditional SiO2-based RadFETs, for which a dual-gate oxide-layered sensor is proposed. The sensor chips, consisting of two RadFETs of identical thickness and geometry, were fabricated with sensitive region materials of 100 nm and 300 nm thick SiO2, as well as 40 nm HfO2/5 nm SiO2. The threshold voltages (Vth) of the sensors were determined based on voltage values corresponding to 10 μA ve 50 μA currents. The initial Vth values at 10 μA/50 μA of the RadFETs were −2.89 ± 0.01 V/−3.84 ± 0.01 V for 100 nm SiO2, -4.37 ± 0.02 V/-6.02 ± 0.02 for 300 nm SiO2, and -1.04±<%0.08 V/-1.507 ± 0.002 V for HfO2/SiO2. RadFETs were irradiated under a60Co radioactive source within a dose range of 1–20 Gy. The sensitivities of the sensors for a cumulative dose of 20 Gy were calculated as 9.19 ± 0.21/9.81 ± 0.19 mV/Gy for 100 nm-SiO2-RadFET, 43.72 ± 0.80/45.94 ± 0.68 mV/Gy for 100 nm-SiO2-RadFET, and 0.83 ± 0.01/0.87 ± 0.02 mV/Gy for DGHK-RadFETs (dual-gate oxide layered with high-k), based on data obtained at 10/50 μA, respectively. No degradation was observed in any of the sensors during the studied dose range, and the DGHK-RadFETs demonstrated particularly stable behavior. Lower error rates in performance parameters, higher stability, more durable in high radiation environments, greater dose storage capability with the lowest fading values, and the ability to reach saturation at higher doses were observed in DGHK-RadFETs compared to SiO2-RadFETs. All these superior properties compared to traditional structures have been achieved in DGHK-RadFETs with a thinner sensitive region. The DGHK-RadFET prototype is a promising candidate for potential applications in nuclear power plants, space research, high-energy physics laboratories, and defense and security applications
Examining Coal Rib Stability Using Mechanical Bolts: Experimental and Numerical Study
No full textIn the underground coal mines of US, mechanical bolts are employed alongside other bolt types to mitigate rib deformation and enhance the stability of coal ribs. The performance of mechanical bolts within coal ribs has received limited research attention to date. This paper presents an integrative approach that combines numerical modeling and experimental methods to propose a comprehensive methodology for supporting coal ribs using mechanical bolts. Standard pullout tests were conducted to establish the load-response behavior of mechanical rib bolts. Subsequently, these load-response characteristics were calibrated through numerical models and applied to larger-scale supported coal rib simulations. The coal rib models were compared and validated with a case study to pursue the studies with more realistic numerical models. The validated models serve as the foundation for the models employed in parametric studies. A support approach tailored to mechanical bolt applications was developed based on these comprehensive studies. The key findings of this paper are as follows: Mechanical bolts exhibit a trilinear force-displacement response with critical points providing crucial insights into their characteristics, such as stiffness and yield capacity of the bolt. Bolt length was found to be less influential than the number of bolts during the design of the mechanical bolts. The bolts' placement within the rib structure arose as another critical factor. Generally, stronger coal units do not necessitate additional support, whereas medium-strength and weaker coal require support in most scenarios. Specific support design approaches were proposed for various mining conditions, including coal strength, overburden depth, and mining height. The combined results of numerical simulations and experimental tests underscore the pivotal role of proper mechanical bolt application in ensuring stable coal rib conditions, with several noteworthy contributions setting this study apart
Alpha Unpredictable Cohen–Grossberg Neural Networks with Poisson Stable Piecewise Constant Arguments
No full textThere are three principal novelties in the present investigation. It is the first time Cohen–Grossberg-type neural networks are considered with the most general delay and advanced piecewise constant arguments. The model is alpha unpredictable in the sense of electrical inputs and is researched under the conditions of alpha unpredictable and Poisson stable outputs. Thus, the phenomenon of ultra Poincaré chaos, which can be indicated through the analysis of a single motion, is now confirmed for a most sophisticated neural network. Moreover, finally, the approach of pseudo-quasilinear reduction, in its most effective form is now expanded for strong nonlinearities with time switching. The complexity of the discussed model makes it universal and useful for various specific cases. Appropriate examples with simulations that support the theoretical results are provided
Discovery of a New Deep-Sea Scorpaenidae Species from the Western Pacific Ocean: Description and Ecological Notes
No full textSpecies of marine biodiversity are growing with the discovery of a new deep-sea species of the Scorpaenidae family in the Western part of Pacific Ocean. It is a unique morphologically and genetically distinctive species collected over 500 meters depth that does not belong to any known Scorpaenidae family. Scientific analysis showed two survival mechanisms operating in deep-sea conditions through unique sensory organs and particular patterns of fin rays. The scientific discovery enables researchers to understand better the value of deep-sea investigations for discovering unknown marine species and details how Scorpaenidae family members contribute to deep-sea food networks. Studies about the new fish species raise conservation concerns regarding deep-sea habitats because they endure exposure to climate changes and human-induced threats. The research adds to deep-sea fish diversity knowledge while confirming essential sustainability needs in marine resource management. Distinctive features include different numbers of fin rays, body coloration, and special adaptations for survival in deep water, including more sensory organs to sense prey in low light. The discovery makes clear the significance of deep-sea exploration, much less known sea species remaining to be discovered. Moreover, this species is used as a study subject for evolutionary adaptation, ecological roles, and potential biomedical usage of Scorpaenidae venom. This discovery not only furthers understanding of deep sea ichthyofauna, but also highlights the necessity of sustainable management of marine resources to prevent damage to delicate deep seafloor ecosystems
Okul Öncesi Dönem Çocuklarının Sağlıklı ve Sağlıksız Gıdalara İlişkin Algıları
Full text linkPerceptions of children about healthy foods in early childhood years have the potential to influence their food choices and preferences in their future lives. In this aspect, the purpose of the study was twofold: (i) to adapt and implement The Healthy Food Knowledge Activity in order to assess preschool children’s perceptions of healthy foods and (ii) to explore gender differences in their perceptions. A total of 104 five-year-old children participated in the study from three different public preschools in the capital city of Türkiye. The results revealed that these children could correctly identify the healthy foods regardless of gender whereas they had difficulty in identifying some foods (e.g., fried chicken, ice-cream, or cookies) as unhealthy. Therefore, this study gives clues about the types of foods that should be emphasized in terms of health during nutrition education for children
Changes in microplastic-associated bacterial communities along a salinity gradient in Central Anatolian lakes of Türkiye
Full text linkLakes face anthropogenic stressors such as climate change, salinization, and eutrophication, and microplastics (MPs) now emerge as a new concern since they act as vectors for pathogenic bacteria, giving rise to concern about environmental health. This study explores cultivable viable bacterial (CVB) biofilm communities on MPs along a salinity gradient (0.25 to 192.69‰) in 11 lakes in Türkiye. The MPs consisted mainly of fibers and 50-µm to 5-mm-sized fragments. The dominant cultivable bacterial phyla in both MP-associated biofilms and lake water were Proteobacteria and Firmicutes. On MPs, Pseudomonadaceae was the dominant family (94.7%), followed by Enterobacteriaceae (1.2%). Various halolerant pathogens occurred as well, e.g., Proteus spp. strains on MP surfaces in Lake Bolluk (95.7‰) and Alcaligenes spp. in Lake Tuz, the two lakes with the highest salinity, while the halophilic Shewanella putrefaciens was prevalent in highly alkaline Lake Salda. Staphylococcus, Commomonas, and Enterobacter were found in all lakes regardless of salinity level, and CVB strains were more common on MPs surfaces than in lake water. Our findings suggest that MPs promote the development, dispersion, and bioavailability of bacteria, including pathogens, thus increasing ecological and health-related impacts in lakes under different salinity conditions