Hakkari Üniversitesi Akademik Veri Yönetim Sistemi
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Kahramanmaraş Depremleri Sırasında Bölgede Eğitim Gören Hemşirelik Öğrencilerinin Afete Müdahale Öz-Yeterlilik Düzeylerinin Değerlendirilmesi: Kesitsel Bir Çalışma
Amaç: Afetlerden etkilenen kişilerin bakımında hemşirelerin önemli rolleri vardır. Hemşirelik yükseköğreniminde afet yönetimine yer verilmesi, hemşirelerin mesleki yaşantılarında niteliklerini arttırmaktadır. Bu araştırmada, 6 Şubat 2023 tarihinde meydana gelen depremlerde, bölgede eğitim gören hemşirelik öğrencilerinin afete müdahale öz yeterlilik durumlarının değerlendirilmesi amaçlanmaktadır. Gereç ve Yöntem: Tanımlayıcı ve kesitsel tipte planlanan araştırma Mart-Nisan 2023 tarihleri arasında 838 hemşirelik öğrencisiyle yürütüldü. Veriler Kişisel Bilgi Formu ve Afete Müdahale Öz-yeterlilik Ölçeği ile toplandı. Araştırmanın anlamlılık düzeyi p<0,05 olarak uygun bulunmuştur. Bulgular: Öğrencilerin yaş ortalamasının 20,72±2,09, %78,6'sı kadın, %49’nun ailesinde veya arkadaşlarından kayıp olduğu, %10,1’nin afetlerle ilgili eğitim aldığı belirlenmiştir. Katılımcıların ölçek toplam puan ortalaması 57,92±14,17’dir. Afetlere yönelik eğitim alan, deprem bölgesinde arama kurtarma çalışmalarına katılan, kadın ve 3. ile 4. sınıfta olan öğrencilerin Afete Müdahale Öz-yeterlilik Ölçeği toplam puan ve alt boyut puanlarının diğer gruplardaki öğrencilere göre anlamlı düzeyde daha yüksek olduğu bulunmuştur (p<0,05). Cinsiyet, sınıf düzeyleri, afetlere yönelik eğitim alma ve deprem bölgesinde arama kurtarma çalışmalarına katılma durumları ile ölçek toplam puanı arasında istatistiksel olarak anlamlı fark olduğu bulunmuştur. Sonuç: Öğrenci hemşirelerin afet müdahalesinde öz yeterlilik durumlarının orta seviyede olduğu saptanmıştır. Anahtar Kelimeler: Afetler, depremler, hemşirelik öğrencileri, kendilik psikolojisi.Objective: Nurses have important roles in the care of people affected by disasters. Incorporating disaster management into nursing higher education enhances nurses' competencies in their professional careers. This study aims to evaluate the disaster response self-efficacy of nursing students studying in the region affected by the earthquakes that occurred on February 6, 2023. Material and Methods: The research, designed as a descriptive and cross-sectional, was conducted with 838 nursing students between March and April 2023. The data were collected using a Personal Information Form and the Disaster Response Self-Efficacy Scale. The significance level of the study was found to be p<0.05. Results: The average age of the students was 20.72±2.09, with 78.6% being female, 49% having experienced a loss among their family or friends, and 10.1% having received disaster-related training. The participants' total scale score average was 57.92±14.17. A statistically significant difference was found between gender, class levels, receiving disaster-related training, participating in search and rescue operations in the earthquake region, and the total scale score. Conclusion: It was determined that the self-efficacy of student nurses in disaster response was at a moderate level. Keywords: Disasters, earthquakes, nursing students, self psychology
EXPERIMENTAL AND STATISTICAL EVALUATION OF THE MACHINABILITY OF PURE ZINC BY TURNING METHOD
In this study, the machinability of pure zinc during dry turning is examined experimentally. Low melting point and high ductility of zinc enable easy machining, while low strength and hardness result in a limiting factor for the usage of high-loading applications. Zinc samples (99.58% purity) are turned using a TiAlNi-coated carbide cutting tool at feed rates of 0.1-0.2mm/rev, depths of cut of 0.2-0.4mm, and cutting speeds of 20-40m/min. Surface roughness was evaluated as the main indicator of machinability, and the effects of parameters were statistically examined using S/N and ANOVA analyses. Optimum surface quality was observed at a low feed rate (0.1mm/rev), low cutting speed (20m/min), and 0.2mm depth of cut. Maximum surface roughness was achieved at high cutting speed and feed rate settings. The ANOVA results revealed that the depth of cut was the most influential parameter on surface roughness, followed by the feed rate and cutting speed, respectively. The R² value of 91.32% indicates a strong correlation between the model and the experimental results.</div
Optimal Reactive Power Dispatch Together with Uncertainties of Load and Renewable Energy Resources Proposing EBO-CMAR: Detailed Comparative Analysis with Literature
Optimal Reactive Power Dispatch (ORPD) is conducted to identify the voltage levels of all generators, optimize transformer tap ratios, and determine the ideal MVAR injection values for shunt compensators. In this paper, we present the EBO-CMAR algorithm for the first time, addressing both deterministic and stochastic ORPD challenges. Additionally, we propose a modified test system featuring a scenario-based approach that accounts for uncertainties in load demands and renewable energy sources, while also identifying optimal locations for shunt capacitors to enhance voltage stability. Despite progress, there remain research gaps regarding how to establish the optimal system configuration for reactive power control, particularly in adapting to changes in demand and renewable energy generation. The results of this study provide valuable insights into the strategies that power system operators can adopt in this context. Simulation results demonstrate that our proposed algorithm outperforms the most recent methods documented in current literature for the standard IEEE 30 and 57 bus test systems. A transparent comparison with existing studies adhering to the same constraint values reveals that voltage deviation has been reduced to 0.0845 p.u. in the IEEE 30 bus test system and 0.6063 p.u. in the IEEE 57 bus test system, achieving the best results recorded thus far. Furthermore, by determining the optimal locations for shunt capacitors, we have shown that the new power system configuration can improve the voltage stability index by 2.62% and reduce the number of shunt compensator devices by 9.55%
Sustainable Walnut Shell-Filled Polylactic Acid–Hydroxyapatite Hybrid Coatings for Enhanced Corrosion Resistance and Bioactivity of Magnesium Biomaterials
Due to the high corrosion rate and limited biocompatibility of commonly used magnesium (Mg) and its alloys, current studies have focused on surface modification techniques. In this study, which is aimed at overcoming these obstacles in biomedical applications, hybrid coatings of PLA-HA-Walnut shell (Wshell) were successfully applied to Mg substrates. The presence of micropores on the surfaces of the hybrid coatings was detected using SEM surface morphology, and the elemental composition and structural characterization of the coatings were confirmed through analyses. With a higher Wshell fraction, the corrosion current density decreased significantly compared to uncoated Mg and PLA-coated Mg, increasing the electrochemical corrosion resistance of Mg. The adhesion strength between the coatings and the Mg substrates increased to grade 3B with Wshell-filled hybrid coatings. Moreover, the contact angle of PLA-coated Mg decreased as the Wshell fraction increased, indicating enhanced surface wettability. Wshell hybrid coatings exhibit fibrous morphology and the formation of Ca- and P-rich layers. These results, along with the filling of Wshell, suggest that PLA-HA-Wshell hybrid coatings could be a promising additive material for potential next-generation low-cost and sustainable biomedical coatings to enhance the corrosion resistance and bioactivity of Mg