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Are Holistic Thinkers Intellectually Humbler? a First Test
No full textGUNGOR, MERTCAN/0000-0003-4231-5978; OZMAN, NAGIHAN/0000-0003-4712-4572; Kayatepe, Emre/0000-0002-5879-5702Intellectual humility (IH) is the tendency to consider that one's beliefs might be fallible. In a pre-registered preliminary study with an undergraduate sample (n = 350), we adapted IH measures to Turkish and in line with past research, we replicated IH's positive correlation with Openness to Experience and negative correlation with Closed-Mindedness. However, IH was not related to Discomfort with Ambiguity. Moreover, consistent with recent theoretical discussions of an overlap between IH and certain aspects of East Asian worldviews, we found that holistic thinking tendency positively predicted IH scores, beyond social desirability and effortful thinking. Our confirmatory study (n = 693) revealed that higher levels of middle way approach and perception of change components of holistic thinking were associated with greater intellectual humility beyond demographics and other substantive predictors of IH. While the effects were small in magnitude and their generalizability awaits further testing, these associations are sensible and motivate continued exploration of the relationship between IH and holistic thinking.BAGEP Award of the Science Academy (Turkiye)This work was supported by the BAGEP Award of the Science Academy (Turkiye) given to S. Adil Saribay. We thank Yag y mur Akcan, Asya Al & imath;c & imath;, Beyza Ar & imath;can, S , eyma Esra Dogru, I center dot brahim Can Polat, Guenes , Sonmez, Doruk Tunaog lu and Sinem Y & imath;lmaz for their help with the preparation of the materials. We thank two anonymous reviewers for their constructive comments on drafts of this work.Social Science Citation Inde
Efforts for Energy-Based Regionalisation in the Turkic World: the Organization of Turkic States
No full textThe main objective of this article is to analyse the energy policies of partner countries of the Organization of Turkic States (OTS), established over two energy regions, within the context of "energy regionalism." The study, based on the premise that energy is one of the fundamental sources of motivation for the organisation, discusses the contributions of energy to the development and deepening of cooperation among the Turkic States. The paper explores the expectations of member countries from the organisation in terms of energy within the context of energy regionalism analysis criteria and seeks to answer questions regarding the level of fulfillment of these expectations. The findings suggest that the organisation has special importance in energy issues, with energy being a prominent subject in its written materials. The analysis reveals that the union broadly satisfies the criteria of energy regionalism, indicating the potential for implementing concrete cooperation projects related to energy among member countries in the medium term
Circular Formations of Non-Communicating Robot Groups Via Local Strategies
No full textLocal strategies, which are based on cost minimization, to achieve circular formations of autonomous robot groups are presented. It is assumed that the group members have no communication capabilities or any means of interchanging information among themselves, and that they can only rely on their sensors, which provide relative positions of their nearby group members. It is verified on simulations that via appropriately defined cost functions arc, arc-triangle and circle formations are obtained, which can be maintained during navigation. © The Author(s) 2023
KOLEKTİF GÜVENLİK ANTLAŞMASI ÖRGÜTÜ VE ENERJİ GÜVENLİĞİ POLİTİKALARI: 2022 KAZAKİSTAN OLAYLARI
No full textEnerji kaynaklarının üretimi ve transiti konusunda jeostratejik öneme haiz ülkeleri bir araya getiren KGAÖ’nün enerji güvenliği politikalarının analizi, bu makalenin temel amacını oluşturmaktadır. Makale, hem askeri güvenlik ile enerji güvenliği arasındaki sinerjiyi ortaya koymak hem de enerji güvenliğinin sağlanması konusunda uluslararası örgütlerin rolüne dikkat çekmektedir. Çalışmada KGAÖ’nün ilk barışı koruma görevi olan 2022 Kazakistan müdahalesi örnek vaka olarak seçilmiş, olayların etkilerinin neler olduğu sorusuna cevap aranmıştır. Enerji güvenliğinin KGAÖ’nün temel çalışma alanlarından biri haline geleceği hipotezine dayandırılan çalışmada elde edilen bulgular nitel araştırma yöntemiyle işlenmiştir. Çalışmada Kazakistan’da yaşanan olayların ardından KGAÖ’nün bölgede güvenlik sağlayıcısı olarak etkinliğinin arttığı; enerji güvenliğinin sağlanmasında askeri gücün önemli bir faktör olduğu; KGAÖ üyelerinin ulusal ve bölgesel güvenliğin bir parçası olan enerji güvenliği konusunda daha aktif politikalar geliştirmesi gerektiği; olayların diğer enerji zengini Türk Devletlerini de etkilediği ve bölgede Rusya’nın etkinliğinin arttığı yönünde bazı endişelere neden olduğu sonuçlarına ulaşılmıştır
Reentrant Ferromagnetic Ordering of the Random-Field Heisenberg Model in <i>d > 2</I> Dimensions: Fourier-Legendre Renormalization-Group Theory
No full textTurkoglu, Alpar/0000-0002-3784-1300; Berker, A/0000-0002-5172-2172The random-magnetic-field classical Heisenberg model is solved in spatial dimensions d >= 2 using the recently developed Fourier-Legendre renormalization-group theory for 47r steradians continuously orientable spins, with renormalization-group flows of 12 500 variables. The random-magnetic-field Heisenberg model is exactly solved in 10 hierarchical models, for d = 2, 2.26, 2.46, 2.58, 2.63, 2.77, 2.89, 3. For nonzero random fields, ferromagnetic order is seen ford > 2. This ordering, at d = 2.46, 2.58, 2.63, 2.77, 2.89, 3, shows reentrance as a function of temperature.Academy of Sciences of Turkey (TUBA)Support by the Academy of Sciences of Turkey (TUBA) is gratefully acknowledged. We are grateful to Egemen Tunca for very useful discussions
The Multifaceted Nature of Early Vocabulary Development: Connecting Children's Characteristics With Parental Input Types
No full textGoksun, Tilbe/0000-0002-0190-7988Children need to learn the demands of their native language in the early vocabulary development phase. In this dynamic process, parental multimodal input may shape neurodevelopmental trajectories while also being tailored by child-related factors. Moving beyond typically characterized group profiles, in this article, we synthesize growing evidence on the effects of parental multimodal input (amount, quality, or absence), domain-specific input (space and math), and language-specific input (causal verbs and sound symbols) on preterm, full-term, and deaf children's early vocabulary development, focusing primarily on research with children learning Turkish and Turkish Sign Language. We advocate for a theoretical perspective, integrating neonatal characteristics and parental input, and acknowledging the unique constraints of languages.James S. McDonnell FoundationJames S. McDonnell FoundationSocial Science Citation Inde
Cartographie Des Espaces De Rencontre : Stratégies Spatiales Des Jeunes Adultes Utilisant Des Applications De Rencontres Géolocalisées En Turquie
No full textCet article donne un aperçu des stratégies spatiales des jeunes adultes résidant dans des villes métropolitaines et non métropolitaines qui utilisent des applications de rencontres géolocalisées. L’étude porte sur l’analyse de 64 jeunes utilisateurs, âgés de 18 à 30 ans et résidant dans six villes différentes de Turquie. La méthode de cartographie cognitive floue (Kosko, 1986) a permis de mieux comprendre leurs stratégies spatiales et leurs processus décisionnels. Les résultats de l›étude révèlent que le genre, l›orientation sexuelle et les modèles géographiques inhérents au milieu culturel (métropolitain et non métropolitain) exercent une influence prononcée sur les stratégies spatiales des utilisateurs d›applications de rencontres géolocalisées et sur les tactiques qu›ils emploient lorsqu›ils rencontrent des partenaires potentiels dans la ville. L›étude apporte une contribution significative à la littérature existante sur le sujet en démontrant l›influence de facteurs tels que l›anonymat, la pression sociale et les préoccupations en matière de sécurité sur les pratiques des utilisateurs d›applications de rencontres géolocalisées en ce qui concerne leur utilisation des espaces urbains
Special Milling Tools for Improving Productivity
No full textDuring the milling operations a reduction in cutting forces combined with having stable cutting process conditions improves efficiency, productivity, and part quality. At this point, milling tools with special geometries such as variable pitch or/and variable helix tools, end mills with serrated or crest-cut edge forms can provide significant advantages to reach these goals. For this purpose, it is important to be able to design the cutting tool geometry considering process mechanics and dynamics. In this chapter, we aim to explore various aspects related to the design and performance of these special milling tools in a comparative manner. Our discussion will cover topics such as the tools' geometry, design, and performance, along with the underlying principles that govern their behavior in the milling process. © 2024 Nova Science Publishers, Inc. All rights reserved
Noise Removal From EEG Data
No full textElectroencephalography (EEG) is a vital tool for non-invasive brain activity monitoring, widely used in clinical and research settings, but often contaminated by noise from muscle movements, eye blinks, and electrical interference, which can obscure neural information. This thesis explores advanced machine learning techniques, focusing on autoencoders with Neural Ordinary Differential Equations (NODEs) and Residual Networks (ResNet), to enhance EEG denoising. While traditional methods like Independent Component Analysis (ICA) have been effective in separating EEG signals from artifacts by leveraging statistical independence, they struggle with the dynamic and nonlinear nature of EEG data. To overcome these limitations, this research integrates autoencoders with NODEs and ResNet, combining autoencoders' dimensionality reduction with NODEs' continuous-time dynamics and ResNet's skip connections to handle the complexity of multivariate EEG signals. The proposed hybrid framework significantly improves denoising accuracy, computational efficiency, and adaptability to different noise levels in bio-signals, outperforming traditional methods. Results, evaluated through metrics like Mean Squared Error (MSE), Relative Root Mean Squared Error (RRMSE), and correlation coefficients, show substantial improvements in noise removal for both synthetic and real EEG datasets, marking a significant advancement in EEG signal processing. Keywords: Electroencephalography (EEG), Denoising, Machine Learning, Independent Component Analysis (ICA), Neural Ordinary Differential Equations (ODEs), Residual Network, Autoencoders, Signal Processing, Brain Waves, Noise Remova
