Hasan Kalyoncu University

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    Journal of Multilingual and Multicultural Development

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    The present study aimed to investigate the correlations between preschool perceptions of multicultural b Department of Early ARTICLE HISTORY competence, Intercultural Communication Anxiety, and social empathy (SE) skills. Utilising a quantitative research design within a descriptive-relational screening methodology, the study involved a randomly selected sample of 400 preschool teachers. The findings, analyzed through a structural equation model, revealed that SE skills significantly predict teachers’ multicultural competence perceptions via the mediating role of Intercultural Communication Anxiety. Two key elements emerged from the analysis: first, Intercultural Communication Anxiety mediates the relationship between SE and multicultural competence; second, the direction of this mediation is significant. The model suggests that teachers with high SE skills exhibit enhanced knowledge, skills, and awareness of multicultural competence, contingent upon their levels of Intercultural Communication Anxiety

    Okul öncesi dönem çocuklarının bilgi işlemsel düşünme becerileri ile örüntü becerileri arasındaki ilişkinin incelenmesi

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    Bu çalışma, 5-6 yaşlarındaki çocukların bilgi işlemsel düşünme becerileri ile örüntü tanıma becerileri arasındaki ilişkiyi inceleyerek bu eksikliği gidermeyi hedeflemektedir. Araştırma, nicel bir yaklaşım benimsenerek korelasyonel bir tasarımla gerçekleştirilmiştir. Araştırmada veri toplama aracı olarak, çocuklar ve ailelerine ilişkin bilgileri elde etmek amacıyla "Kişisel Bilgi Formu" kullanılmıştır. Çocukların BİD becerilerini belirlemek için, Relkin ve diğerleri (2020) tarafından geliştirilen ve Metin, Başaran, Yıldırım-Seheryeli ve Kalyenci (2022) tarafından Türkçeye uyarlanan "Erken Çocukluk Döneminde Bilgi İşlemsel Düşünme Ölçeği/TechCheck-K" kullanılmıştır. Çocukların örüntü becerilerini belirlemek için ise, Güven ve arkadaşları (2019) tarafından geliştirilen "Okul Öncesi Örüntü Becerileri Testi-Kısa Formu" kullanılmıştır. Çalışmada, 61-72 aylık 183 çocuktan veri toplanmış ve aynı gün içerisinde TechCheck-K Testi (BİD) ve Örüntü Testi (ÖT) uygulanmıştır. Bulgular, BİD puanlarındaki varyansın %22’sinin, örüntü tanıma testinden elde edilen puanlarla anlamlı bir şekilde açıklandığını ve bunun BİD'in önemli bir parçası olduğuna dair teorik çerçeveyi desteklediğini ortaya koymaktadır. Araştırma, matematiksel beceriler ile BİD arasındaki ilişkiyi daha geniş bir perspektiften incelemek amacıyla daha fazla çalışma yapılması gerektiğini vurgulamaktadır. Bu sayede, farklı matematiksel becerilerin BİD gelişimine nasıl katkı sağladığına dair daha derin bir anlayış elde edilerek eğitim uygulamaları ve politikaları üzerinde etkili olabilecek çıkarımlar yapılabilir. Bu çalışma, erken çocukluk eğitiminde BİD ve matematiksel beceriler arasındaki bağlantıyı anlamada önemli bir boşluğu doldurmakta ve alana yönelik değerli sonuçlar sunmaktadır.This study aims to address this gap by examining the relationship between computational thinking and pattern recognition skills of children aged 5-6 years. The study was conducted using a quantitative approach and a correlational design. The "Personal Information Form" was used as the data collection tool in the research to obtain information about children and their families. The "Early Childhood Computational Thinking Scale/TechCheck-K" developed by Relkin et al. (2020) and adapted to Turkish by Metin, Başaran, Yıldırım-Seheryeli, and Kalyenci (2022) was used to determine children's CT skills. The "Preschool Pattern Skills Test-Short Form" developed by Güven et al. (2019) was used to determine children's pattern skills. Data were collected from 183 children aged 61-72 months, and the TechCheck-K Test and Pattern Test were administered on the same day. The findings show that 22% of the variance in CT scores is significantly explained by the scores obtained from the pattern recognition test, supporting the theoretical framework that pattern recognition is an important part of CT. The research highlights the need for further studies to examine the relationship between mathematical skills and CT from a broader perspective. In this way, a deeper understanding of how different mathematical skills contribute to CT development can be obtained and inferences can be made that may have an impact on educational practices and policies. This study fills an important gap in understanding the link between CT and mathematical skills in early childhood education and provides valuable implications for the field

    Cross-cultural adaptation, validity, and reliability of the Turkish version of the trapeziometacarpal arthrosis symptoms and disability questionnaire

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    Background: The Trapeziometacarpal Arthrosis Symptoms and Disability questionnaire (TASD) is widely used to assess symptoms and disability associated with trapeziometacarpal (TMC) arthrosis. Objective: To adapt the TASD into Turkish (TASD-TR) and evaluate its reliability and validity. Methods: Forty-one patients with TMC arthrosis were included in the study. Thumb function was assessed using the TASD-TR and the Thumb Disability Examination (TDX). Pain intensity was rated using the Visual Analogue Scale (VAS). Power grip strength (PGS) and pinch strength (PS) were measured using the Jamar Hydraulic Hand Dynamometer and Jamar Pinch Gauge, respectively. Results: The TASD-TR demonstrated good test-retest reliability and internal consistency (Cronbach's alpha = 0.786–0.859; Intraclass Correlation Coefficient (ICC) = 0.844). TASD-TR Total score showed a high correlation with TDX Total score (r = 0.706) but weak correlations with PGS (r = −0.342), PS (r = −0.290), and VAS (r = 0.373) scores. The TASD-TR Disability subscale was highly correlated with both TDX Total (r = 0.882) and TDX-ADL (r = 0.877) scores, and the TASD-TR Symptoms subscale was moderately correlated with TDX Pain score (r = 0.508). Conclusion: The TASD-TR is a reliable and valid tool for assessing thumb symptoms and function in Turkish-speaking patients with TMC arthrosis. © The Author(s) 202

    Doğrudan yabancı sermaye yatırımlarının çevre kirliliği ve enerji tüketimi üzerine etkisi: Brıcs-tm ülkeleri üzerine ekonometrik bir analiz

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    Doğrudan yabancı sermaye yatırımları (DYY), ülkelerin ekonomik, sosyal, siyasal, çevresel ve enerji yapıları üzerinden oldukça etkilidir. Özellikle gelişmekte olan ülkeler açısından düşünüldüğünde yabancı sermaye yatırımlarının en önemli bileşeni olan DYY, tasarruf yetersizliği, yatırım politikaları, ödemeler bilançosu gibi birçok makroekonomik değişken üzerinde stratejik bir öneme sahiptir. DYY'nin sosyo-ekonomik faktörler üzerinde yarattığı olumlu gelişmelerin yanında çevresel değişkenler üzerinde yarattığı olumsuzluklar ile enerji kaynaklarının tüketimindeki sorunları son yıllarda önemli bir tartışma konusudur. Çünkü DYY, kendi ülkelerinde bazı sanayi sektörlerinde üretim yapabilmesi için yüksek çevresel vergiler ve maliyetlere katlanmak zorundadır. Bunun önüne geçebilmek için DYY bu sektörlerde az gelişmiş ve gelişmekte olan ülkelere yatırımı daha avantajlı görmektedir. Çalışmada bu sorun kapsamında, doğrudan yabancı sermaye yatırımlarının çevre kirliliği ve enerji tüketimi arasındaki ilişkisi incelenmektedir. Ülke örneklemi olarak gelişmekte olan ülkelerden BRICS-TM ülkeleri (Brezilya, Rusya, Hindistan, Çin, Güney Afrika, Türkiye ve Meksika) tercih edilmiştir. 1993-2020 dönemlerine ait yıllık verilerin kullanıldığı analizlerde, bağımlı değişken olarak DYSY belirlenirken, bağımsız değişken olarak ise çevre değişkeni kapsamında ekolojik ayak izi, enerji değişkeni olarak da yenilenebilir enerji yer almaktadır. Kontrol değişken olarak da enflasyon, GDP, ticari açıklık, kentleşme modele dâhil edilmiştir. Yeni nesil panel veri analizi tekniklerinin kullanıldığı çalışmada; değişkenler arasında yatay kesit bağımlılığı yakalanmış olup CIPS birim kök testine göre değişkenler I(I) seviyesinde durağan çıkmıştır. Durbin-Hausman eş bütünleşme testi sonuçlarına göre modele dâhil edilen değişkenler arasında uzun dönemli ilişki olduğu sonucuna ulaşılırken, Konya nedensellik testine göre bağımsız değişkenler ile DYY arasında farklı ülkelerde nedensellik ilişkisi olduğu görülmüştür. Elde edilen sonuçlara göre BRICS-TM ülke yöneticilerinin, çevre dostu ve sürdürülebilir yatırımlar yapan yabancı sermaye girişlerini teşvik etmek amacıyla vergi indirimleri, sübvansiyonlar ve diğer finansal teşvikler geliştirmesi gerektiği önerilmektedir. Anahtar Kelimeler: Doğrudan yabancı sermaye yatırımları, çevre kirliliği, enerji tüketimi.Foreign direct investment (FDI) is highly influential on the economic, social, political, environmental and energy structures of countries. Especially for developing countries, FDI, which is the most important component of foreign capital investments, has a strategic importance on many macroeconomic variables such as inadequate savings, investment policies and balance of payments. In addition to the positive developments created by FDI on socio-economic factors, the negative effects of FDI on environmental variables and the problems in the consumption of energy resources have been an important topic of discussion in recent years. Because FDI has to bear high environmental taxes and costs in order to produce in some industrial sectors in their home countries. In order to avoid this, FDI considers it more advantageous to invest in underdeveloped and developing countries in these sectors. Within the scope of this problem, this study analyses the relationship between foreign direct investment, environmental pollution and energy consumption. BRICS-TM countries (Brazil, Russia, India, China, South Africa, South Africa, Turkey and Mexico) were preferred as the country sample. In the analyses using annual data for the period 1993-2020, FDI is determined as the dependent variable, while ecological footprint as an environmental variable and renewable energy as an energy variable are included as independent variables. Inflation, GDP, trade openness and urbanisation are included in the model as control variables. In the study where new generation panel data analysis techniques were used, horizontal cross-section dependence was detected between the variables and according to the CIPS unit root test, the variables were stationary at I (I) level. According to the results of the Durbin-Hausman co-integration test, there is a long-run relationship between the variables included in the model, while according to the Konya causality test, there is a causality relationship between independent variables and FDI in different countries. According to the results obtained, it is suggested that BRICS-TM country managers should develop tax reductions, subsidies and other financial incentives to encourage foreign capital inflows that make environmentally friendly and sustainable investments. Keywords: Foreign direct investment, environmental pollution, energy consumptio

    Effect of Amaranth and Corn Flour Ratios in Batter andBreader on the Physicochemical and TechnologicalProperties of Gluten-Free Turkey Nuggets

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    The present research investigates the development of gluten-free turkey nuggets using various concentrations of amaranth flour in the coating material, aiming to address the growing demand of individuals with celiac disease and those seeking healthier, high-quality gluten-free meat products. In this context, the batter and breader were prepared by replacing corn flour with amaranth flour at three different concentrations (30%, 40%, and 50%), while the control group was coated with 100% corn flour. After the formed turkey nugget dough was enrobed with four different formulations of coating formulations, the nuggets were fried at 180°C ± 5°C for 4 min. Coating pick-up and adhesion degree decreased, whereas cooking loss increased, with higher amounts of amaranth flour (p < 0.05). Oil content in the crust region increased as the proportion of amaranth flour rose, likely due to its high fat-holding capacity (p < 0.05). The use of amaranth flour also promoted moisture retention in the core region of nuggets, resulting in juicier products. The color of nuggets shifted from yellow to yellowish-green with increasing amounts of amaranth flour. The increase in amaranth flour content led to a decrease in gumminess, chewiness, and resilience values of the nuggets (p < 0.05), while enhancing moisture retention and resulting in a softer product. Overall, the findings of the study suggest that incorporating up to 30% amaranth flour into batter and breader formulations could be a viable approach for producing healthier gluten-free turkey nuggets as an alternative product for health-conscious and gluten-intolerant consumers. © 2025 Institute of Food Technologists

    Developing a novel layer network structure for a LSTM model to predict mean monthly river streamflow

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    In this research, novel innovative DDN layer network structures by hybridizing double-LSTM model with an addition layer (+) (i.e., 2LSTM and 2LSTM + layer network models) are developed purposefully to enhance prediction performance of the mean monthly Maroon River streamflow (MRSFm) in Iran from October 1987 to September 2017. For doing so, to select the most effective parameters on MRSFm, the Pearson's correlation coefficient (PCC) and Cosine amplitude sensitivity (CAS) as features selection process are carried out for potential meteorological variables in the study area (i.e., average monthly temperature (Tm), evaporation (ETm), and precipitation (Pm)) and target (MRSFm). The results show that Tm and ETm have an insignificant influence on MRSFm, thus, only Pm is used as the most effective input variable in predicting MRSFm. Due to a well-balanced network model's structural outline in the suggested novel hybrid 2LSTM + model, it accordingly yields to a suitable total learnable parameter (TLP) compared to ordinary standalone LSTM and GRU as the benchmark models developed in the similar meta-parameters. This model under the optimal meant meta-parameters tuned i.e., state activation functions (SAF) = tanh-softsign, numbers of hidden neurons (NHN) = 75, dropout rate (P-rate) = 0.5, performs best among the models with an R2 of 0.68, NSE of 0.63, PBIAS of 41%, KGE of 0.79, and RMSE of 19.24 m3/s. Comparatively, a standard gated recurrent units (GRU) and LSTM as benchmark models using the optimal scenario generate the following results: R2 are 0.57 and 0.67, NSE are 0.53 and 0.61, PBIAS are 109 and 49%, KGE are 0.63 and 0.79, and RMSE are 21.11 and 19.32 m3/s, respectively. Generally, in all models, in the equal NHN, rising P-rate value reduces convergence time

    Artificial Intelligence Technologies in Rehabilitation

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    Virtual reality (VR) has experienced significant growth in the healthcare industry in recent years. Its utilization in the feld of physiotherapy has also gained momentum, particularly in the realm of rehabilitation. © 2026 Mustafa Berktas, Rector, Abdulkadir Hiziroglu, Ahmet Emin Erbaycu, Orhan Er and Sezer Bozkus Kahyaoglu

    The role of intelligence in countering the PKK

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    Türkiye’s response to PKK terrorism stands as one of the most sustained, complex, and evolving counterterrorism efforts in the modern era. This book offers the first comprehensive English-language analysis of Türkiye’s counterterrorism strategy, adopting a security-oriented perspective that integrates military, political, legal, economic, and social dimensions. It presents a holistic and critical evaluation of how Türkiye has sought to address terrorism across changing domestic and international environments. Structured around strategic foundations, operational developments, and emerging threats, the book examines how Türkiye has adapted to the evolving landscape of terrorism. The first part provides a comprehensive view of Türkiye’s strategy, addressing political, social, and economic measures as well as criminal justice approaches and the international legal framework. The second part focuses on operational fields, including urban security operations, cross-border missions, intelligence reforms, and advancements in defense and surveillance technologies. The third part explores new security challenges, including the PKK’s transformation into organized crime and cyberterrorism, and evaluates innovative soft power initiatives such as persuasion processes and counter-narrative strategies

    The impact of tourism and environmental technologies on environmental degradation: Countries with a high income from tourism

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    This book offers a rich compilation of research exploring key areas within "Theory and Applied Macroeconomics." Drawing on contributions from scholars at various academic institutions, the volume addresses a wide array of macroeconomic topics, ranging from foundational theories to practical analyses of complex economic systems. The research highlights pressing challenges and developments in macroeconomic policy, growth, inflation, monetary and fiscal dynamics, and global economic interconnectivity. Through a combination of innovative theoretical approaches and empirical studies, this book serves as a valuable resource for academics, practitioners, and students seeking expand their understanding of modern macroeconomic thought and its implications for real-world decision-making. © 2024 Peter Lang Group AG, Lausanne. All rights reserved

    Effect of grape pomace on oxidative and microbial quality of chill-stored beef model systems

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    Grape pomace, a by-product of winemaking, is rich in bioactive compounds and has recently attracted attention for its potential application in functional foods. In this study, grape pomace powder (GPP) derived from the local Kosetevek grape variety was incorporated into beef model systems at concentrations of 0.5 %, 0.75 %, and 1.0 % to evaluate its effects on oxidative and microbial stability. GPP supplementation significantly reduced lipid oxidation and metmyoglobin formation, and it also decreased lightness and yellowness values, resulting in a darker appearance in meat batters (p < 0.001). However, the 1.0 % GPP group did not provide additional oxidative protection compared to the 0.5 % and 0.75 % groups. Textural attributes such as hardness and chewiness were affected by GPP, with the 1.0 % group exhibiting the highest chewiness values (p < 0.001). Although microbial counts were lower in GPP-treated samples than in the control, all samples exceeded acceptable spoilage thresholds by day 6. Overall, GPP at concentrations up to 1.0 % may serve as a natural additive to improve the shelf life and functional quality of meat products

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