Bartin University Institutional Repository
Not a member yet
12212 research outputs found
Sort by
Examining the Relationship Between Social Emotional Adaptation and Competition Types of Children Aged 60-72 Months
No full textSocial emotional development plays a crucial role in individual's life. Social emotional adaptation and a positive feeling of competition are elements of social emotional development which intensively progresses in early ages. The purpose of this study is to analyze the relationship among social emotional adaptation and competition types of 60-72 months old children. In this study, the survey model was applied, and sample was selected via convenience sampling. 110 children who attend preschool education institution in 2018-2019 academic year participated in this research after “Participation Approval Form” were obtained. “Marmara Social Emotional Adaptation Scale” and “Preschool Competition Questionnaire” were data collection tools. After the convenient statistical tests were performed, a statistically significant relationship among social emotional adaptation and competition types of children has been explored. Additionally, significant relationship has been observed in social emotional adaptation with regards to gender and mother's educational background variables, and significant relationship has been found in competition types with regards to mother's and father's educational background variables. Recommendations were provided for preschool teacher and further research
Breaking new ground: A first-of-its-kind critical analysis of review articles on phase change materials for building applications
No full textThe integration of phase change materials (PCMs) into building envelopes presents an effective approach to improving energy efficiency through enhanced heat storage. By improving energy efficiency and reducing reliance on fossil fuels, PCMs hold significant potential to mitigate the environmental impact of building operations. Despite a wealth of review literature on PCMs, a comprehensive and critical synthesis that consolidates insights, identifies research gaps, and provides a structured perspective remains lacking. Therefore, this study presents a novel and extensive critical review of all available review articles on PCMs, from the first in 1983 to the present, offering a state-of-the-art synthesis that unifies existing knowledge and guides future research and applications. A critical review of 271 review articles is conducted for the first time, providing in-depth insights from the earliest review to the present. While review papers often compile surface-level facts and trends, they may oversimplify or fragment the broader understanding of literature. Therefore, critically evaluating these articles is essential to uncover deeper insights, distinguish substantive findings from superficial observations, and establish consensus on key challenges and potential solutions in the field. This review briefly discusses the categorization of PCMs and their encapsulation techniques and compiles all the commercially available PCMs in tabular form with details of their thermophysical properties. It goes beyond existing studies by addressing a notable omission-many reviews on commercial PCMs do not include detailed information about their manufacturers. To bridge this gap, we have systematically gathered and presented comprehensive manufacturer data, along with direct links to their websites. Our compilation encompasses nearly all commercially available PCMs explored in the literature to date, ensuring that researchers and industry professionals have easy access to verified and exhaustive information. This makes our review a uniquely valuable and practical resource for advancing research and industrial applications. The review also examines PCMs with different natural ventilation strategies, highlighting their potential to enhance indoor thermal comfort and energy efficiency. Furthermore, the economic viability and environmental implications of PCM applications are critically evaluated, accompanied by a detailed life cycle assessment to understand the impact of materials from production to operation and demolition. The application of PCMs in buildings is analyzed in sufficient detail, and challenges and limitations associated with PCM incorporation are thoroughly covered. Extensive opportunities for future research are identified, serving as a roadmap for advancing PCM technology while uncovering unexplored areas and addressing critical gaps in the existing literature. Finally, the review concludes by thoroughly synthesizing all key concepts discussed in the paper through detailed bullet points, each accompanied by comprehensive recommendations, offering an in-depth framework to guide future studies and advance PCM research and applications.Nazarbayev University, Kazakhstan [201223FD8814]This research was supported by Nazarbayev University, Kazakhstan, faculty development competitive research grant number 201223FD8814
Reduced resting and task-related alpha activity in mine workers: Implications for occupational health and neurodegenerative risk
No full textUnderground mine workers face many risk factors at work sites that are known to affect the neural system. Observational studies report that these risk factors precede neuromuscular and neurodegenerative disorders, especially in old-age miners. Neurodegenerative disorders have electrophysiological, anatomical, and functional changes long before symptoms are seen in older adults. Therefore, this study investigated whether risks faced by miners at young ages were reflected in electrophysiological signals. Twenty-one underground miners and twentytwo above-ground workers matched with them in terms of age, education, and working duration were included in this study. Participants were recorded with a 20-channel EEG during the resting-state (eyes open and closed; EO-EC) and the perception of the International Affective Picture System Paradigm (IAPS). Time-frequency analyses were performed for alpha frequency. Rs-EEG results showed a statistically significant difference in alpha power between the EO and EC states in the control group. However, there was no statistical difference in alpha power between these two conditions in the miners. Additionally, we noted a more pronounced decrease in alpha responses in the posterior region during EC in the miners. The group's main effects were statistically significant in event-related alpha responses during emotional responses. Accordingly, event-related alpha responses of the miner group were lower than the control group in terms of both power spectrum and phase-locking. Underground mine workers are cognitively and emotionally affected by risks in the work environment. Electrophysiological changes seen in young underground workers may be a harbinger of neurodegenerative disorders in miners' old age. Our research findings may lead to the development of occupational neuroscience, social policies, and worker health, which are necessary to improve working conditions for mineworkers.Scientific and Technological Research Council of Turkiye (TUBITAK) [122K561]The segment of this research pertaining to the emotional stimulus paradigm received support from the Scientific and Technological Research Council of Turkiye (TUBITAK) under project number 122K561
Positive attitudes toward physical activity and eating disorders in university students: the moderating role of gender
No full textBackground: Eating disorders affect both male and female populations worldwide. Previous studies suggest that attitudes toward physical activity may play a key role in their development. Understanding this relationship is essential for designing effective prevention and treatment strategies. In this study, positive attitudes toward physical activity refer to motivational and affective dispositions, such as valuing, enjoying, and being willing to engage in physical activity. The study aimed to explore the effects of such attitudes on various subdimensions of eating disorders, as well as the moderating role of gender in these associations. Methods: University students from different regions of Turkiye participated in the study (n = 609; age M = 21.0, SD = 1.95). The gender distribution was 49.9% females and 50.1% males. The gender distribution was 49.9% females (n = 304) and 50.1% males (n = 305). Data were collected with the Physical Activity Attitude Scale for Children and Adolescents and the Eating Disorder Scale-Short Form (EDE-Q-13). SEM and Jamovi MedMod moderation tests were used to analyze the data. Results: Positive attitudes toward physical activity did not significantly predict eating restraint (beta=-0.0865, z=-1.94, p >.05) or shape/weight over-evaluation (beta=-0.0836, z=-1.87, p >.05). However, they were significantly and inversely associated with body dissatisfaction (beta = -0.1788, z = -3.87, p <.001), bingeing (beta = -0.3201, z = -6.75, p <.001), and purging (beta = -0.4591, z = -9.58, p <.001). Based on the positive and significant result of the PAPA * gender interaction (B = 0.387, p <.05), gender appears to play a moderating role in the associations between physical activity attitudes and eating disorder symptoms. Conclusions: Our results indicated that while positive attitudes toward physical activity did not significantly influence eating restraint, shape or weight overevaluation, they might have suppressive effects on body dissatisfaction, bingeing, and purging. Additionally, positive attitudes toward physical activity affected female and male participants differently. These findings may inform health promotion and physical activity interventions in university settings
Protein oxidation: The effect of different preservation methods or phenolic additives during chilled and frozen storage of meat/meat products
No full textLipid and protein oxidation have significant effects on the shelf-life and nutritional value of meat and meat products. While lipid oxidation has been extensively studied, it has been recognized that proteins are also susceptible to oxidation. However, the precise mechanisms of oxygen-induced amino acid and protein modifications in the food matrix remain unclear. This review comprehensively explores the impact of various preservation techniques, including high hydrostatic pressure (HHP), irradiation (IR), and modified atmosphere packaging (MAP), on protein oxidation during chilled or frozen storage of meat products. While these techniques have shown promising results in extending shelf-life, their effects on protein oxidation are dose-dependent and must be carefully controlled to maintain product quality. Preservation techniques involving the use of phenolic additives have demonstrated synergistic effects in mitigating protein oxidation during storage. Notably, natural phenolic additives have shown comparable efficacy compared to artificial antioxidants. Additionally, incorporating phenolic additives into bio-edible films has shown promise in combating protein oxidation
Effects of forest-to-agriculture conversion on soil arbuscular mycorrhizal fungi in the Western Black Sea Region
No full textThis study investigates the effects of forest-to-farmland and forest-to-rangeland conversion on arbuscular mycorrhizal fungi (AMF) biodiversity and soil properties in Ultisols of the Western Black Sea Region, Turkey. Using a factorial design with three land-use types (forest, rangeland, and conventional tillage) and two soil depths (0-15 cm and 15-30 cm), we analysed soil samples for AMF community composition, species richness, spore abundance, and key soil hydro-physical and chemical properties. Our results revealed significant shifts in AMF biodiversity associated with land-use change (p < 0.01). A total of 35 AMF species were identified, with the highest species richness (11.32 species), Simpson index (0.91), Shannon index (2.64), and Hurlbert's PIE (0.91) observed in forest soils at 0-15 cm depth. In contrast, rangeland at 15-30 cm depth showed the highest spore abundance (491 spores 50 g(-)(1) soil), while conventional tillage at 15-30 cm had the highest Pielou index (0.86), indicating distinct ecological adaptations across land-use types. Forest soils were dominated by Racocetra coralloidea and Glomus sp., whereas rangeland soils exhibited greater frequency of Acaulospora sp. (27 %), A. scrobiculata (19 %), and Rhizophagus intraradices (14 %). In conventionally tilled soils, Glomus sp. (32 %) and Claroideoglomus etunicatum (21 %) were most prevalent, with lower overall AMF diversity, highlighting the negative impact of intensive soil disturbance. Structural Equation Modeling (SEM) demonstrated strong interdependencies between soil physical and chemical properties and AMF community dynamics. Forest conversion to rangeland and farmland led to significant reductions in AMF diversity, particularly at the surface layer (0-15 cm), where habitat simplification and soil disturbance negatively affected symbiotic interactions. Our findings emphasize the importance of sustainable land management practices, such as reduced tillage and organic amendments, to mitigate AMF biodiversity loss and preserve soil ecosystem functions. Future research should explore the resilience of AMF communities under varying land-use scenarios to guide effective conservation and agricultural strategies
THE EFFECT OF DIGITALISATION OF LOGISTICS ACTIVITIES OF MANUFACTURING ENTERPRISES ON ORGANISATIONAL PERFORMANCE
No full textEndüstri 4.0 ve dijitalleşme, üretim işletmelerinin lojistik faaliyetlerinde köklü dönüşümler meydana getirmiştir. Bu çalışmada, Türkiye’deki üretim yapan sanayi işletmelerinde lojistik faaliyetlerin dijitalleşmesinin (Lojistik 4.0) işletme performansı üzerindeki etkileri analiz edilmiştir. Araştırmada, lojistik dijitalleşmenin altı performans boyutu üzerindeki etkisi incelenmiştir: üretim ve inovasyon, tanıtım ve pazarlama, finans, lojistik, yönetim ve çevre performansı. Veri toplama aracı olarak anket yöntemi kullanılmış ve 412 sanayi işletmesinden veriler elde edilmiştir. Gerçekleştirilen analizler sonucunda, Lojistik 4.0 uygulamalarının tüm performans boyutları üzerinde istatistiksel olarak anlamlı ve pozitif etkiler yarattığı tespit edilmiştir. Bulgulara göre dijitalleşme, üretim ve inovasyon süreçlerini hızlandırmakta, pazarlama etkinliğini artırmakta, finansal verimliliği iyileştirmekte ve lojistik hizmet kalitesini güçlendirmektedir. Aynı zamanda yönetim süreçlerinde şeffaflık ve veri odaklı karar alma yetkinlikleri artarken, çevresel performans da dijital çözümler sayesinde gelişmektedir. Bu bağlamda çalışmanın hem işletmelere hem politika yapıcılara dijital dönüşüm stratejilerini şekillendirmede rehberlik etmesi amaçlanmaktadır. Ayrıca çalışmanın sonucunda, dijitalleşmenin rekabet avantajı sağlamanın ötesinde sürdürülebilirlik ve kurumsal yetkinlikler açısından da önemli katkılar sunduğu görülmüştür.Industry 4.0 and digitalisation have brought about radical transformations in the logistics activities of manufacturing enterprises. This study analyses the effects of digitalisation of logistics activities (Logistics 4.0) on business performance in manufacturing industrial enterprises in Turkey. In the study, the impact of logistics digitalisation on six performance dimensions: production and innovation, promotion and marketing, finance, logistics, management and environmental performance. Survey method was used as a data collection tool and data were obtained from 412 industrial enterprises. As a result of the analyses, it was determined that Logistics 4.0 applications have statistically significant and positive effects on all performance dimensions. According to the findings, digitalisation accelerates production and innovation processes, increases marketing effectiveness, improves financial efficiency and strengthens logistics service quality. At the same time, transparency and data-driven decision-making competencies increase in management processes, while environmental performance also improves thanks to digital solutions. In this context, the study aims to guide both businesses and policy makers in shaping digital transformation strategies. In addition, as a result of the study, it has been observed that digitalisation provides significant contributions in terms of sustainability and corporate competencies beyond providing competitive advantage
Wear response of laser remelted and aluminized CoFeNiCr0.5Mo0.1 medium entropy alloy
No full textIn this study, mechanically alloyed and sintered CoFeNiCr0.5Mo0.1 alloys under pressure were also subjected to a laser melting process in order to improve their surface properties. In addition, these samples were thermochemically coated with a pack aluminizing process to provide hardness and wear resistance on the surface. While the produced alloys were predominantly composed of FCC phases, aluminide phases were formed on the surface after the aluminizing process. While approximately 10 % hardness increase was achieved with laser remelting, an increase of approximately 2 times was observed in the average hardness change after the aluminizing process. As a result of the aluminizing process, fracture toughness decreased and values were found as 2.78 and 4.49 MPa. m1/2 for aluminized Aluminized MEA and Aluminized MEA + Laser. In order to examine the wear loss and friction coefficient, the samples were subjected to dry sliding wear tests and examined comparatively. It was observed that laser remelting improved wear resistance while aluminizing had a negative effect. When averaged for all loads, the wear coefficients were determined as 0.05 for MEA + Laser, 0.1 for MEA, 0.21 for Aluminized MEA + Laser and 0.26 10-3 x mm3/N.m for Aluminized MEA. Although the aluminizing process increased the surface hardness, it decreased the fracture toughness and increased the volume losses and friction coefficient.Ondokuz Mayimath;s University Scientific Research Projects Coordination [BAP04-A-2024-5743]; Deanship of Scientific Research at Northern Border University, Arar, KSA [NBU-FFR-2025-2193-04]This study was supported by Ondokuz May & imath;s University Scientific Research Projects Coordination with project number BAP04-A-2024-5743. The authors extend their appreciation to the Deanship of Scientific Research at Northern Border University, Arar, KSA, for funding this research work through the project number NBU-FFR-2025-2193-04
Uğursuyu Havzası Erozyon Risk Durumundaki Dönemsel Değişimlerin Belirlenmesi
No full textIn this study, the effects of land use changes in the Uğursuyu basin between 2000 and 2019 on erosion risk conditions were analyzed in detail using the ICONA model. In land classification, four main land classes were determined as water, settlement, agriculture-open space and vegetation, and the accuracy of these classes was evaluated by the confusion matrix method. Kappa values were above 80% for both periods, indicating that the classification was quite successful. Water areas increased from 14.86 hectares to 18.05 ha, while settlement areas increased by about 100 ha. However, the proportion of vegetation areas decreased from 84.6% to 72.3%. Soil protection maps were created by overlaying the land class and vegetation cover ratio maps, and in this process, increases were observed in very low and very high soil protection classes, while decreases occurred in medium and high protection classes. The potential erosion risk maps prepared by considering the slope and geological structure of the basin show that 76.5% of the area is in the high and very high erosion risk group. In terms of geological structure, most of the area (80.5%) consists of rocks susceptible to erosion. In the analysis of erosion risk status, no significant change was observed in the low risk classes between 2000 and 2019, while there was a 1% increase in the medium level and a 3.6% decrease in the high level. An increase of 2.54% was recorded in the very high erosion risk class. Land changes and reductions in vegetation cover were the main factors affecting erosion risk. The ICONA model effectively assessed these changes and revealed that the basin has high erosion susceptibility. In conclusion, the findings emphasize the importance of sustainable land management and erosion control strategies. In this context, taking environmental protection measures in cooperation with local governments and communities becomes a critical requirement for maintaining the ecological balance of the region.Bu çalışmada, Uğursuyu Havzasında 2000 ve 2019 yılları arasında arazi kullanım durumlarında meydana gelen değişikliklerin erozyon risk durumlarına etkileri ICONA (National Institute for Nature Conservation) modeli kullanılarak detaylı bir şekilde incelenmiştir. Arazi sınıflandırmasında, su, yerleşim, tarım-açıklık ve bitki örtüsü olmak üzere dört ana arazi sınıfı belirlenmiş ve bu sınıfların doğruluğu hata matrisi yönt-emiyle değerlendirilmiştir. Kappa değerleri, her iki dönem için %80'in üzerinde bulunmuş, bu da sınıflandırmanın oldukça başarılı olduğunu göstermiştir. Su alanları 14,86 ha'dan 18,05 ha'a yükselirken, yerleşim alanlarında yaklaşık 100 ha'lık bir artış gözlemlenmiştir. Bununla birlikte, bitki örtüsü alanlarının oranı %84,6'dan %72,3'e düşmüştür. Toprak koruma haritaları, arazi sınıfı ile bitki örtüsü oranları hari-talarının ilişkilendirilmesiyle oluşturulmuş ve bu süreçte çok düşük ile çok yüksek toprak koruma sınıflarında artışlar gözlemlenirken, orta ve yüksek koruma sınıflarında azalmalar meydana gelmiştir. Havzanın eğim ve jeolojik yapısı dikkate alınarak hazırlanan potansiyel erozyon risk haritaları, alanın %76,5'inin yüksek ve çok yüksek erozyon riski grubunda bulunduğunu göstermektedir. Jeolojik yapı olarak alanın büyük kısmı (%80,5) erozyona duyarlı kayaçlardan oluşmaktadır. Erozyon risk durumları açısından yapılan analizlerde, 2000 ve 2019 yılları arasında düşük risk sınıflarında önemli bir değişim gözlemlenmezken, orta seviyede %1'lik bir artış ve yüksek seviyede %3,6'lık bir azalma meydana gelmiştir. Çok yüksek erozyon riski sınıfında ise %2,54'lük bir artış kaydedilmiştir. Arazi değişimleri ve bitki örtüsü oranlarındaki azalmalar, erozyon riskini etkileyen temel faktörler olarak öne çıkmıştır. ICONA modeli, bu değişimleri etkili bir şekilde değerlendirmiş ve havzanın yüksek erozyon duyarlılığına sahip olduğunu ortaya koymuştur. Sonuç olarak, elde edilen bulgular, sürdürülebilir arazi yönetimi ve erozyon kontrolünün önemini vurgulamaktadır. Bu bağlamda, yerel yönetimlerin ve toplulukların iş birliği ile çevresel koruma önlemlerinin alınması, bölgenin ekolojik dengesinin korunması açısından kritik bir ger-eklilik haline gelmektedir
ASSESSMENT OF ENERGY-EFFICIENCY AND PROCESS-IMPROVEMENT POTENTIAL IN TREATMENT PLANTS USING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
No full textBu çalışma, su arıtma tesislerinde yapay zekâ (YZ) ve makine öğrenmesi (MÖ) modellerinin süreç verimliliği ve enerji tüketimi üzerindeki potansiyel kazanımlarını incelemektedir. Literatür taramasıyla SVR, ANN, CNN, PLS-R, RF/GBT, Isolation Forest ve derin pekiştirmeli öğrenme gibi modellerin küresel ölçekte havalandırma enerjisini %25-35, toplam tesis enerjisini ise %10-25 oranında düşürdüğü saptanmıştır. Türkiye özelinde atıksu arıtma sektörünün yıllık elektrik yükü yaklaşık 1,6 TWh olarak hesaplanmış, YZ tabanlı optimizasyonun %15-25 tasarruf sağlayarak yılda 0,9-1,5 milyar TL maliyet ve 110 000-180 000 t CO? azaltımı potansiyeli sunduğu belirlenmiştir. Model başarısının yüksek kaliteli veri akışı, proses-uyumlu algoritma seçimi ve operatör eğitimiyle doğrudan ilişkili olduğu görülmüştür. Bulgular, ulusal teşvikler ve standartlaştırılmış veri altyapısı ile desteklenen YZ/MÖ entegrasyonunun Türkiye'de sürdürülebilir su yönetimi hedeflerini önemli ölçüde ilerletebileceğini göstermektedir.This study evaluates the potential gains of artificial intelligence (AI) and machine-learning (ML) models for improving process efficiency and reducing energy consumption in wastewater treatment plants. A comprehensive literature review shows that models such as SVR, ANN, CNN, PLS-R, RF/GBT, Isolation Forest and deep reinforcement learning can reduce aeration energy by 25–35 % and overall plant energy use by 10–25 % worldwide. For Türkiye, the sector's annual electrical load is estimated at roughly 1.6 TWh; AI-driven optimisation could save 15–25 % of this demand, translating into 0.9–1.5 billion TRY in operating costs and 110 000–180 000 t CO? emissions each year. Model success is found to depend strongly on high-quality data streams, process-specific algorithm selection and operator training. The findings indicate that national incentives and standardised data infrastructures would enable large-scale AI/ML deployment, thereby advancing Türkiye's sustainable water-management objectives through lower energy use, improved process stability and reduced environmental impact