Kırşehir Ahi Evran Üniversitesi Kurumsal Akademik Arşivi
DSpace@Kırşehir, Kırşehir Ahi Evran 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 yayınların etkisimi artırmak için telif haklarına uygun olarak Açık Erişime sunar.
Güncel Gönderiler
Growth Performance and Digestive Physiology of Black Sea Salmon (Salmo labrax) Following Seawater Transfer
(Springer Science and Business Media Deutschland GmbH, 2026) Özel, Osman Tolga; Çakmak, Eyüp; Coşkun, İsa; Gürkan, Selin Ertürk; Çimagil, Recayi
The present work was performed to determine the changes in digestive physiology during parr-smolt transformation of Black Sea salmon (Salmo labrax), reached smoltification size, fed in freshwater (RAS) and seawater conditions. The fish was randomly placed in experimental tanks. The experimental was performed as triplicate, and lasted for 90 days. The initial weights of fish were 18.53 ± 0.07 g in freshwater and 18.57 ± 0.02 g in seawater. The fish were fed by hand three times a day up to apparent satiation. The test diet contained 46.20% of crude protein and 14.97% of crude lipid. After transfer to seawater, the WG, SGR, FI and RGR in the first 30 days was in favor of fresh water, but no difference was observed between the groups in the following days. FW, FCR and SR were found to be similar on all trial days. Whereas thermal growth coefficient was higher in seawater. The villi length was higher in seawater, but muscularis thickness in freshwater. In additional, goblet cell count and VL/WV were not differences in freshwater and seawater. The activity of pepsin was higher in freshwater. While lipase enzyme was in favor of freshwater in the first 30 days transfer later, amylase enzyme was in favor of freshwater on the 90th day. No difference was observed between the groups on the other days. While trypsin enzyme was higher in freshwater on the 30th and 60th days, no difference on the 90th day. We can say that after transfer to seawater would cause significant changes in intestinal histomorphology and some digestive enzyme activity of Black Sea salmon.
Adjustment map of secondary schools in Türkiye: examining the adjustment of secondary school students to school in terms of gender, class and region
(Turkish Education Association, 2026) Ulaş Kılıç, Özlem; Kızıldağ Şahin, Seval; Demirtaş Zorbaz, Selen; Akın Arıkan, Çiğdem; Vapurlu Şimşek, Simay; Şentürk, Hamza; Mirioğlu, Özlem; Doğan, Nuri; Gençtanırım Kurt, Dilek
The aim of this study is to examine the school adjustment of middle school students in Türkiye based on gender, class and region. The population of the research consists of secondary school students studying in public schools in Türkiye. The sample consists of 26,962 students selected from 24 provinces and 104 schools, representing 12 regions according to Türkiye's NUTS. The School Adjustment Scale for Secondary School Students developed by Gençtanırım Kurt et al. (2023) was used to measure the adjustment of secondary school students to school. Factorial ANOVA was applied to the comparisons made by taking into account the gender, grade level and region of residence of the secondary school students. Data analysis was carried out with the Jamovi statistical package program. The results of the research revealed that secondary school students' total school adjustment scores and the academic, social and behavioral adjustment scores, which are the sub-dimensions of school adjustment, showed significant differences according to gender, grade level and statistical regions. Accordingly, the highest average in terms of academic adjustment dimension is in the Northeastern Anatolia Region; the lowest average is in the Eastern Marmara Region; the highest average in the social adjustment dimension is in the Western Black Sea Region; the lowest average is in the Central Anatolia Region; it was determined that the highest average in the behavioral adjustment dimension was in the Western Anatolia Region and the lowest average was in the Istanbul Region. When looked at by region in terms of school adjustment total scores, it is seen that the highest average is in the Northeastern Anatolia Region and the lowest average is in the Western Marmara Region. To reduce these disparities, it is recommended to expand psychosocial support programs for students, particularly in regions with low levels of adjustment, and to strengthen the training processes of teachers so that they can develop sensitive and inclusive educational strategies for students.
An Intelligent System for Hardness-Oriented Embodiment Design in Casting Processes Using Fuzzy Neural Networks
(Multidisciplinary Digital Publishing Institute (MDPI), 2026) Keskinkılıç, Fatih; Göksu, Alper
In casting processes, mechanical properties such as hardness are highly sensitive to both chemical composition and process parameters, making parameter design a complex and uncertain task during the embodiment stage of engineering design. Conventional trial-and-error-based approaches are often costly, time-consuming, and impractical in industrial environments. To address these challenges, this study proposes an optimized fuzzy artificial neural network (FANN)-based decision-support approach for hardness-oriented parameter design in a casting process. The developed model uses chemical composition variables, including carbon, silicon, manganese, phosphorus, sulfur, chromium, copper, and tin, together with process parameters such as casting temperature and casting time as inputs, while Brinell hardness is considered as the output. A dataset consisting of 170 experimental casting samples was employed; 128 samples were used for model development and hyperparameter selection, and 42 samples were reserved as an independent final test set. The proposed model was implemented as a scaled direct FANN weighted ensemble, in which fuzzified input variables were used to predict standardized continuous hardness values. A total of 300 FANN configurations were evaluated using five-fold cross-validation, and the five best-performing configurations were combined through RMSE-based weighted ensemble averaging. The final model was compared with Random Forest, Linear Regression, Ridge Regression, and SVR-RBF models using MSE, RMSE, MAE, R2, MAPE, normalized RMSE, and ±5% prediction success rate. The results showed that the optimized FANN ensemble achieved the lowest mean RMSE in the full-data five-fold cross-validation analysis, slightly outperforming the Random Forest benchmark. In the independent final test set, Random Forest produced the lowest prediction error, whereas the proposed FANN ensemble remained competitive and achieved the same ±5% prediction success rate as Random Forest, Linear Regression, and Ridge Regression. Furthermore, a target-hardness case study demonstrated that the proposed approach could identify candidate casting conditions very close to a desired hardness level, with the nearest prediction reaching 202.985 HB for a target value of 203 HB. These findings indicate that the proposed FANN-based framework can serve not only as a hardness prediction model but also as a practical fuzzy decision-support tool for target-hardness-oriented parameter design in casting processes.
The Role of Tyro3-Axl-Mertk Receptors in Uterine Immune Regulation During Pregnancy: A Multilevel Analysis in Mouse Models
(Oxford University Press, 2026) Kırımlıoğlu, Esma; Oflamaz, Aslı Okan; Orhan, Eda; Katirci, Ertan; Yıldırım, Farida
Introduction
Successful pregnancy requires immune tolerance and controlled inflammation at the maternal—fetal interface. The Tyro3—Axl—Mertk (TAM) receptor tyrosine kinases and their ligands Gas6 and Protein S modulate immune homeostasis. Their temporal roles in uterine regulation during implantation and decidualization remain unclear. We hypothesized that TAM signaling is essential for establishing uterine tolerance and tissue remodeling.
Exergy-Based Evaluation of Renewable Energy Integration in Onion Production Systems
(Multidisciplinary Digital Publishing Institute (MDPI), 2026) Öztürk, Müjdat
Modern agricultural systems heavily rely on carbon-intensive energy inputs, emphasizing the urgent need to assess and optimize specific crop supply chains from thermodynamic and environmental perspectives. This study presents a comprehensive cumulative assessment of the energy, exergy, and carbon emissions of onion production in Türkiye, utilizing mass, energy, and entropy balance formulations combined with field-survey data from Adıyaman province. The results indicate that the total cumulative energy consumption is 722.28 MJ/ton, with nitrogen fertilizer contributing 61%. The thermodynamic analysis reveals that nitrogen fertilizer, irrigation water, and diesel fuel drive a cumulative exergy consumption of 465.83 MJ/ton, while irrigation water dominates the carbon emission at 20.65 kg CO2/ton. Based on these streams, integrated sustainability indicators specifically the Cumulative Degree of Perfection (CDP) and the Renewability Index (RI) were calculated under conventional and solar modernization scenarios. A renewable energy scenario incorporating photovoltaic-powered irrigation and electrified machinery substantially enhanced thermodynamic perfection and process renewability, increasing CDP from 3.33 to 6.22 and RI from 0.70 to 0.84. These findings offer actionable insights for scaling local solar-driven modernization to mitigate grid dependency and support global Sustainable Development Goals (SDGs) by reducing fossil-fuel integration.
