Siirt Üniversitesi Kurumsal Akademik Arşivi
DSpace@Siirt, Siirt 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 telif haklarına uygun olarak Açık Erişime sunar.
Güncel Gönderiler
Evaluation of Hydraulic and Irrigation Performances of Drip Systems in Nectarine Orchards (Prunus persica var. nucipersica) in The Mediterranean Region
(MDPI AG, 2025-03-05) Alper; Yeşim Bozkurt Çolak; Cenk Küçükyumuk; Burak Dalkılıç
This study focused on evaluating the performance of the drip irrigation systems installed in 18 different nectarines (Prunus persica var. nucipersica) orchards in the Tarsus Plain in the Mediterranean region from 2017 through 2018. The performance of the drip systems was evaluated based on parameters like average emitter discharge (Qavg), Christiansen uniformity coefficient (CU), distribution uniformity (DU), emission uniformity (EU), and system application efficiency (Ea). The results indicated that the CU varied between 81 and 98%; DU changed from 82 to 97%; EU 61-92%; absolute emission uniformity (EUa) ranged between 93 and 98%; statistical uniformity (Us) changed from 85 to 97%; application efficiency of low-quarter (AELQ) varied between 45 and 97%; potential application efficiency of low-quarter (PELQ) ranged between 55 and 83%; system application efficiency (Ea) changed from 56 to 96%; storage efficiency (Es) fluctuated between 45 and 97%; and pressure variation (Pv) 17-81% and emitter flow variations (qv) of 2-36% were determined. Although the CU, DU, and EU values were acceptable, the variations in emitter flow rates and pressures were not acceptable. The results revealed that the lower performances might be attributed to physical clogging and/or lack of system design and application practices by the farmers. It is recommended that the farmers receive appropriate training on the operation and management of drip irrigation systems.
Unlocking the Potential of Technology in Nursing Skills Education: A Randomized Controlled Trial
(Ataturk Universitesi, 2025-03-07) Zehra Göçmen Baykara; Nurcan Çalışkan; Deniz Ozturk; Ayişe Karadağ; Evrim Sarıtaş; Gulcan Eyuboglu; Sinan Aydoğan; Nevin Doğan; Ceyda Su Gündüz
Objective: This study aimed to determine the effect of illustrated checklists and web-access videos on nursing students' basic nursing knowledge levels and psychomotor skills.
Methods: This single-blind, randomized controlled trial was conducted with 205 first-year nursing students registered in a Fundamentals of Nursing course. The students were stratified by gender and randomly assigned to the experimental and control groups using simple randomization. All students participated in theoretical lectures, demonstrations, and laboratory practices. The Intervention Group's laboratory practices were supported by illustrated checklists and web-access skill videos.
Results: The intervention group's objective structured clinical exams and knowledge test scores were significantly higher than the control group's (P < .05). In total, 95.4% of the students stated that watching videos facilitated learning.
Conclusion: The study found that illustrated checklists and web-accessible skill videos improved students' knowledge and skills and that the skill videos facilitated learning, increased motivation, and enhanced clinical preparation. The widespread use of illustrated checklists and web-access skill videos in nursing skills education is suggested.
A Comparative Study of Various Transfer Learning Models on Skin Cancer Confirmation Methods
(Pensoft Publishers, 2025-02-28) Mehmet Ali Altuncu; Kaplan Kaplan; Melih Kuncan
Skin cancer confirmation is critical in determining a patient's treatment planning process after diagnosis. A proper confirmation process enables the determination of the type, stage, and other characteristics of skin cancer, helping to plan the appropriate treatment. These methods prevent the progression of the disease, thereby contributing to a better response to treatment and improving the patient's quality of life. Dermoscopic images are commonly used to confirm skin cancer types. To obtain meaningful results from these images, researchers often apply artificial intelligence techniques in such studies. Specifically, transfer learning models have been commonly used to enhance the features of these images due to the limited availability of medical image data and the difficulty in extracting meaningful information from such data. While most studies focus on classifying skin cancer types, this research aims to classify skin cancer were used for this purpose. The dataset includes four different confirmation methods: confocal, consensus, follow-up, and histopathology. Four distinct transfer learning models-Resnet-50, Resnet-101, VGG19, and InceptionResnetV2-were utilized. Additionally, ensemble learning was conducted based on the results of these models using the maximum voting approach. The highest success rate was achieved with Resnet-101 at 96.04%. Considering the comparative results, the accuracy of our promising model proved to be significantly high.
Subdivision collocation method: a new numerical technique for solving hyperbolic partial differential equation in non-uniform medium
(Springer Science and Business Media LLC, 2025-03-12) Safia Malik; Syeda Tehmina Ejaz; Ali Akgül
This paper deals with a new numerical technique for solving the second order linear homogeneous and inhomogeneous hyperbolic partial differential equation with variable and constant coefficients. In this technique, the time derivative is described using a finite difference technique, while the collocation method based on subdivision scheme is used to interpose the space dimension. The convergence and error estimation of the proposed technique along with comparison have been presented in this paper. In terms of computational efficiency, our technique yields a solution that is identical to existing works. Furthermore, the applicability and effectiveness of proposed technique are illustrated with numerical examples.
Examination of paraffin-embedded testes of domestic cats and dogs by light and scanning electron microscopy
(Elsevier BV, 2025-06) Banu Kandil; Beste Demirci; Alev Gürol Bayraktaroğlu; Emre Demirci
This study was designed to determine the appropriate section thickness for SEM analysis of paraffin-embedded testes. This study used paraffin-embedded testes from 6 adult cats and 6 adult dogs. Tissue blocks were cut into 10, 20, and 40 µm thick sections and analyzed by SEM. In addition, seminiferous tubule and lumen diameter and germinative epithelium height were measured in 10 and 20 µm thick paraffin sections. Measurements from 10 and 20 µm thick paraffin sections showed that the height of the germinative epithelium and the diameter of the lumen and tubules were similar between cats and dogs (p > 0.05). In cats and dogs, tubule diameter and germinative epithelium height were higher in the 10 µm thick paraffin sections compared to the 20 µm thick paraffin sections. However, in both species, the lumen diameter was greater in the 20 µm thick paraffin sections than in the 10 µm thick paraffin sections (p < 0.05). Unlike 40 µm thick paraffin sections, 10 and 20 µm thick paraffin sections allowed the structural features of the testes to be examined. Additionally, 10 µm thick paraffin sections were ideal for histometric measurements, while 20 µm thick paraffin sections were suitable for detailed examination of late spermatids. The present study showed that testes may be examined in detail by SEM from 10 and 20 µm thick paraffin sections. In addition, this study may contribute to the design of new studies to reveal the missing three-dimensional structures of paraffin-embedded testicular tissues stored in tissue archives by analyzing them by SEM.
