Hakkari Üniversitesi Akademik Veri Yönetim Sistemi
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The relationship between self-efficacy and caregiving burden among parents of children with cerebral palsy
No full textABSTRACTAims: This descriptive study aimed to determine the relationship between self-efficacy levels and the caregiving burden ofparents caring for children with cerebral palsy.Methods: The sample of the study consisted of 128 parents of children with cerebral palsy attending four special education andrehabilitation centers affiliated with Van Provincial Directorate of National Education. Data were collected between January andAugust 2023 using the Introductory Information Form, the Parental Self-Efficacy Scale (PSES) and the Burden of CaregivingScale (CBSS). Data was collected through face-to-face interviews with parents. The principles of scientific ethics and dataconfidentiality were followed at all stages of the study.Results: Outcomes showed a moderate negative correlation between PSES and CBSS scores, indicating that higher self-efficacyis associated with lower caregiving burden. Factors such as social insurance, caregiving support, and income level significantlyinfluenced caregiving burden. Parents with fewer children, higher education levels, and children with mild mobility limitationshad higher self-efficacy scores. Similarly, caregiving burden was found to be greater among parents of children with intellectualdisabilities, lower income levels, feelings of burnout, and future anxiety.Conclusion: The study highlights the importance of identifying the factors that affect caregiving burden and self-efficacy. Nursesshould adopt a multidisciplinary approach to identify parental strengths and weaknesses and provide targeted interventions.Training in this area and targeted interventions to enhance parental self-efficacy could significantly reduce caregiving burdens.Keywords: Care burden, cerebral palsy, nurse, parental self-efficacy, parent</p
Öğretmen Adaylarının Büyük Verinin Eğitimde Kullanımına İlişkin Farkındalıklarının İncelenmesi
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Hemşirelerin Robotik Kalp Cerrahisi Konusundaki Bilgi Düzeylerinin Belirlenmesi
No full textAmaç: Bu çalışma, robotik kalp cerrahisi konusunda hemşirelerin bilgi ve algı düzeylerini belirlemek amacıyla yapıldı. Yöntem: Tanımlayıcı tipte olan araştırma, Temmuz-Eylül 2022 tarihleri arasında İstanbul’da bir Eğitim ve Araştırma Hastanesi’nde görev yapan 280 hemşireyle yürütüldü. Veriler, ‘Kişisel Bilgi Formu’ ve ‘Robotik Kalp Cerrahisi Hemşire Bilgi Düzeyi Anket Formu kullanılarak toplandı. Veri analizinde frekans, yüzde, ortalama ve standart sapma, Shapiro-Wilk, Ki-Kare ve Fisher's exact testleri kullanıldı. Bulgular: Hemşirelerin yaş ortalaması 30.08±6.88 ve %82.1’i kadındı. Araştırma kapsamında yer alan hemşirelerin %96.4’ünün robotik cerrahi terimini duyduğu, %62.5’inin robotik telecerrahi terimini duymadığı, %67.9’unun robotik kalp cerrahi hemşiresinin görev ve sorumlulukları, %30’unun ise robotik cerrahinin avantaj-dezavantajları hakkında bilgilerinin olmadığı belirlendi. Cerrahi birimlerde çalışan hemşirelerin, robotik kalp cerrahisi hemşiresinin görev-sorumlulukları ve robotik cerrahinin avantajları hakkında bilgili olma oranlarının diğer birimlerde çalışan hemşirelere oranla daha yüksek olduğu bulundu (Ki-kare testi, pObjective: This study was conducted to determine nurses’ knowledge and perception levels about robotic cardiac surgery. Methods: The descriptive study was conducted with 280 nurses working in a Training and Research Hospital in Istanbul between July and September 2022. The study data were collected using the 'Personal Information Form' and 'Robotic Cardiac Surgery Nurse Knowledge Level Questionnaire'. Frequency, percentage, mean and standard deviation, Shapiro-Wilk, Chi-Square and Fisher's exact tests were used in data analysis. Results: The mean age of the nurses included in the study was 30.08±6.88 years and 82.1% were female. It was determined that 96.4% of the nurses had heard the term robotic surgery, 62.5% had not heard the term robotic telesurgery, 67.9% had no information about the duties and responsibilities of robotic cardiac surgery nurses and 30% had no information about the advantages and disadvantages of robotic surgery. Nurses working in surgical units were found to be more knowledgeable about the duties and responsibilities of robotic cardiac surgery nurses and the advantages of robotic surgery compared to nurses working in other units (Chi-square test,
BIBLIOMETRIC ANALYSIS OF DIGITAL HERITAGE LITERATURE: TRENDS AND FINDINGS OF ACADEMIC PUBLICATIONS WITH WEB OF SCIENCE DATA
No full textMahal Isıtma Sistemlerinde Yenilenebilir Enerjiden Maksimum Fayda Sağlamak İçin Geliştirilen Termal Kontrol Sistemi
No full textBinalarda ve kapalı ortamlarda enerjinin çoğunluğu mahal ısıtma sistemleri tarafından sağlanmaktadır. Hem enerji maliyetleri hem de çevresel etkilerin azalmasında yenilenebilir enerji kaynaklarının sisteme entegrasyonu önem arz etmektedir. Bu çalışmada; mahal ısıtma sistemlerinde, güneş enerjisinin etkin bir şekilde kullanımını sağlayan hibrit bir sistem tasarlanmıştır. Sistemden alınan veriler Arduino kartında değerlendirilip kontrol mekanizması tasarlanmıştır. Arduino IoT Cloud platformu üzerinde; kullanıcı sistemi uzaktan kontrol edebilmektedir. Tasarlanan sistemin etkinliğini göstermek amacıyla bir deney düzeneği hazırlanmıştır. Uygulama sonuçları; Hakkari İlinde farklı günlerde ve üç kademede gerçekleştirilmiştir. Kademeler arasındaki geçişler ortam sıcaklığına bağlı olarak otomatik olarak ya da kullanıcı tarafından gerçekleşmektedir. Kademe 3’de en yüksek sıcaklık yaklaşık 43°C olarak ölçülmüş ve bu kademede güneş enerjisinden maksimum fayda sağlandığı sonucuna varılmıştır. Tasarlanan bu sistem; özellikleg gelecekte bina enerji yönetiminde yön verebilecek ve sürdürülebilir enerji problemlerinde çözüm olabilecek potansiyele sahiptir. olduğu ve daha doğru sonuçlar verdiği tespit edilmiştir.In buildings and enclosed spaces, the majority of energy consumption is attributed to space heating systems. The integration of renewable energy sources into these systems plays a crucial role in reducing both energy costs and environmental impacts. In this study, a hybrid system was designed to enable the efficient utilization of solar energy in space heating systems. Data obtained from the system were processed using an Arduino board to develop a control mechanism. The system can be remotely controlled by users via the Arduino IoT Cloud platform. To demonstrate the effectiveness of the designed system, an experimental setup was established. The application results were obtained in Hakkari Province over several days and at three different operational levels. Transitions between levels occurred either automatically, based on ambient temperature, or manually by the user. At Stage 3, the highest temperature achieved was approximately 43°C, indicating that maximum benefit from solar energy was obtained. This system has the potential to significantly contribute to future energy management in buildings and provide sustainable solutions to energy challenges
Er2O3-Doped Lead Borate Glasses: Advanced Optical and Radiation Shielding Performance
No full textA new glass system with the composition 60B2O3 + 30PbF2 + (10−x)K2O + x Er2O3 (x = 0 to 3 mol%) were synthesized using the melt-quenching technique and comprehensively analyzed to evaluate their structural, optical, mechanical, and radiation shielding properties. Increasing Er2O3 concentration enhanced the density (from 4.260 to 4.89 g/cm3) and reduced the molar volume (from 29.28 to 28.98 cm3/mol), indicating a denser and more compact glass matrix. Optical studies revealed increased UV absorbance, a red shift in the cutoff wavelength, and a reduction in the optical energy gap from 3.487 to 3.335 eV (direct transitions). Urbach energy values increased from 0.722 to 1.083 eV, signifying heightened structural disorder. Enhanced refractive index and extinction coefficients further underscored the glasses’ potential for optical applications. Mechanical analyses demonstrated a significant increase in all elastic moduli, including Young’s, bulk, and shear moduli, with Er2O3 incorporation, indicating improved rigidity and mechanical stability. The radiation shielding performance of the glasses was assessed across photon energies of 0.015–15 MeV, incorporating both experimental data and machine learning (ML)-based predictions of mass attenuation coefficients (MAC). The ML model, developed using a neural network architecture, successfully predicted MAC values with high accuracy, demonstrating excellent agreement with XCOM-calculated results. Key shielding parameters, including half-value layer (HVL), effective atomic number (Zeff), and buildup factors (EABF and EBF), improved significantly with higher Er2O3 content. BPKE3 glass, with the highest Er2O3 concentration, exhibited the best shielding efficiency, outperforming conventional shielding materials in terms of lower HVL and buildup factors, coupled with higher MAC and Zeff values. This study highlights the dual role of Er2O3-doped lead borate glasses as efficient optical and radiation shielding materials. Machine learning effectively predicts shielding parameters, aiding material optimization for applications in nuclear, medical, and industrial fields
