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
Deep Learning based Individual Cattle Face Recognition using Data Augmentation and Transfer Learning
(Ankara University, 2025) Polat, Havva Eylem; Koc, Dilara Gerdan; Ertuğrul, Ömer; Koç, Caner; Ekinci, Kamil
Accurate identification of cattle is essential for monitoring ownership, controlling production supply, preventing disease, and ensuring animal welfare. Despite the widespread use of ear tag-based techniques in livestock farm management, large-scale farms encounter challenges in identifying individual cattle. The process of identifying individual animals can be hindered by ear tags that fall off, and the ability to identify them over a long period of time becomes impossible when tags are missing. A dataset was generated by capturing images of cattle in their native environment to tackle this issue. The dataset was divided into three segments: training, validation, and testing. The dataset consisted of 15 000 records, each pertaining to a distinct bovine specimen from a total of 30 different cattle. To identify specific cattle faces in this study, deep learning algorithms such as InceptionResNetV2, MobileNetV2, DenseNet201, Xception, and NasNetLarge were utilized. The DenseNet201 algorithm attained a peak test accuracy of 99.53% and a validation accuracy of 99.83%. Additionally, this study introduces a novel approach that integrates advanced image processing techniques with deep learning, providing a robust framework that can potentially be applied to other domains of animal identification, thus enhancing overall farm management and biosecurity.
Is There A Risk Of Developmental Problems in İnfants Born to Mothers with Gestational Diabetes Mellitus and/or Pre-Eclampsia?
(Public Library of Science, 2025) Yardımcı-Lokmanoğlu, Bilge Nur; Topal, Yusuf; Kınacı-Biber, Esra; Arıkan, Zeynep; Sırtbaş-Işık, Gülsen; ...; Mutlu, Akmer
Objective The aims of this study were (i) to describe the early spontaneous movements in 3-to 5-month-old infants in groups of infants born to mothers with GDM and/or PE, (ii) to compare them, and (iii) to analyze the differences between infants with these risk factors and typically developing infants born to mothers without GDM and/or PE and other risk factors. Methods This cohort study included 255 infants in 4 groups: (i) 96 infants born to mothers with GDM, (ii) 78 infants born to mothers with PE, (iii) 31 infants born to mothers with GDM and PE, and (iv) 50 typically developing infants. Early spontaneous movements, including not only fidgety movements but also concurrent movement and postural patterns, were assessed using the General Movements Assessment (GMA), which determines the Motor Optimality Score-Revised (MOS-R). Comparisons were made using one-way ANOVA for normally distributed continuous variables, Kruskal-Wallis test for non-normally distributed data, and Pearson chi-squared for categorical variables. Univariate logistic regression analyses were used to determine the odds ratios (OR) with 95% confidence intervals (CI). Results There were no differences between the three groups, which included infants whose mothers had at least one of these risk factors (p>0.05). Infants born to mothers with GDM, infants born to mothers with PE, and infants born to mothers with both GDM and PE had more aberrant fidgety movements, reduced age-adequate movement repertoire, and more abnormal postural patterns than typically developing infants (p<0.05), in addition to lower MOS-R. When looking at those with ≤24 in MOS-R, the odds ratios were ≥2.74. Conclusion Findings suggest that early spontaneous movements, GMA, may play a crucial role in understanding developmental outcomes of these infants and in determining infants who need early intervention.
Reducing Energy use and Greenhouse Gas Emissions Through Input Optimization in Türkiye
(Springer Science and Business Media B.V., 2024) Candemir, Serhan; Ağizan, Kemalettin; Bayramoğlu, Zeki; Doğan, Hasan Gökhan
The relationship between agricultural production and climate change is bidirectional. As a production activity contingent on climatic conditions, it is the sector most susceptible to fluctuations in climate. However, the sector also contributes to climate change through the generation of energy and the release of carbon emissions associated with production activities. At present, carbon emissions from agricultural production constitute 24% of the total carbon emissions. It is of the utmost importance to reduce the use of fossil fuels and chemicals in agricultural production systems in order to mitigate the effects of global climate change. In order to achieve this, it is essential that agricultural production optimizes inputs without compromising food security. The principal objective of this study is to present an alternative method for reducing energy consumption and carbon emissions by optimizing inputs in sunflower production in Konya province, Turkey. The study analyses the changes in energy use and carbon emissions resulting from optimized input use according to the technical efficiency levels of the enterprises, while maintaining a constant yield. This is achieved by optimizing the inputs used in sunflower production. The results demonstrate 3.16% reduction in energy consumption and approximately 3.68% reduction in carbon emissions in comparison to the current input utilization composition. Upon examination of the technical efficiency levels of the enterprises, it is evident that optimizing the input utilization combinations of those with lower technical efficiency levels results in 7.94% energy savings and a 9.03% reduction in carbon emissions. The results of this study will contribute to the reduction of environmental impacts and the spread of sustainable agricultural practices by optimizing energy consumption and carbon emissions from agricultural production.
Recent Advances in the Alsi10mg Materials Fabrication By Selective Laser Melting: Process Parameters, Optimization, Low-Velocity and Ballistic İmpact Responses
(Springer Science and Business Media Deutschland GmbH, 2025) Yılan, Faik; Ekici, Recep; Urtekin, Levent
The global landscape underscores the critical need for nations to develop indigenous production capabilities to fulfill both their defense requirements and those of allied nations. This necessity is increasingly addressed not through mere augmentation of investments in armor and ballistic-resistant structures, but by executing integrative projects and establishing robust R&D infrastructures. In this context, Selective Laser Melting (SLM) technology, a subset of additive manufacturing, presents a significant opportunity due to its proficiency in fabricating intricate geometries. This review meticulously examines the impact of variable process parameters on the mechanical properties of SLM-fabricated AlSi10Mg components. Utilizing Response Surface Methodology (RSM), the study systematically analyzes data derived from literature to identify the most optimal parameters. Furthermore, the review encompasses recent investigations into the low-speed impact and ballistic performance of SLM AlSi10Mg alloys, providing a comprehensive understanding of their applicability in defense-related applications. Key areas of focus include the influence of laser power, scanning speed, hatch spacing, and layer thickness on the resultant mechanical properties, such as density, tensile strength, and fatigue resistance. The review also delves into the post-processing techniques that enhance the performance of SLM parts, including heat treatment and surface finishing. By integrating findings from various studies, this review article aims to elucidate the potential of SLM technology in advancing the production of high-performance materials for defense applications, thereby contributing to the strategic autonomy of nations in the defense sector.
Effects of Vitamin D and Memantine on Repetitive Mild Traumatic Brain Injury via mTOR, TRPM2, and GABA Expression Levels on Juvenile Rats
(Turkish Neurosurgical Society, 2024) Gülşen, İsmail; Ak, Hakan; Akyol, Mehmet Edip; Özmen, Özlem; Alp, Hamit Hakan; Arabacı, Özkan
AIM: To investigate the effects of vitamin D and memantine on the healing process in juvenile rats with repetitive brain injury (rTBI) and to elucidate the mechanisms underlying these potential therapeutic effects. MATERIAL and METHODS: Juvenile rats were randomly allocated into seven groups, with eight rats per group: sham-operated (Group I), trauma (Group II), memantine supplementation (10 mg/kg) pre-trauma (Group III), vitamin D supplementation (5 µg/kg) pre-trauma (Group IV), vitamin D supplementation post-trauma (Group V), memantine and vitamin D supplementation post-trauma (Group VI), and vitamin D supplementation pre- and post-trauma with post-trauma memantine supplementation (Group VII). A modified repeated weight drop model was employed to induce rTBI. Brain tissues and blood samples were collected for analysis. Expressions of the mammalian target of rapamycin (mTOR), temporary receptor potential (TRPM2), and GABA receptors were assessed via immunohistochemistry. Levels of 8-hydroxy-2-deoxyguanine (8-OHdG) were determined using high-performance liquid chromatography (HPLC). Matrix metalloproteinases -2 and -9, tissue inhibitors of metalloproteinases-1 and-2, and NADPH oxidation-4 levels were determined using commercially available enzyme-linked immunosorbent Test kits. Immunohistochemistry analyses were performed on the brain cortex and hippocampus. RESULTS: The levels of 8OHdG/106dG, MMP-2, MMP-9, TIMP-1, -TIMP2, and NOX-4 were significantly higher in the trauma group than in the other groups. No difference was found between the control and Pre Vit D+Mem+Post Vit D groups regarding 8OHdG/106dG, MMP-2, -9 and NOX-4 levels. Normalized expressions of mTOR and TRPM2 were observed in Groups VI and VII. Conversely, GABA expression levels decreased in Group II, with the most pronounced therapeutic effects observed in Group VII. CONCLUSION: Memantine and vitamin D positively affected rTBI when used alone. Their combined use exhibited greater therapeutic outcomes. These effects are mediated by mTOR mRNA, TRPM2 mRNA, and GABA mRNA expressions.
