MAU GCRIS Standard Database (Mardin Artuklu University)
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Global Disease Burdens, Risks, and Their Implications for Home Healthcare: Chronic Burdens in Home Health Systems
No full textThe global rise in the aging population, chronic diseases, and barriers to healthcare access has significantly increased the need for home healthcare services. The global burden of disease threatens both individual health and the sustainability of health systems. Home healthcare offers quality, person- centred care in the patient's environment while reducing institutional care pressures. Especially during the COVID- 19 pandemic, its importance has become more evident, highlighting the need for technological, political, and workforce- oriented reforms. These services address chronic disease management, elderly care, palliative support, and rehabilitation, making them essential for long- term care. According to WHO's 2019 report, noncommunicable diseases account for 71% of global deaths, underscoring the need for sustainable, home- based alternatives to hospital care. This chapter explores global disease burdens, policy and technology impacts, workforce needs, and the evolving role of home healthcare globally. © 2025 Elsevier B.V., All rights reserved
The Mediating Role of Self-Esteem in the Relationship Between Nursing Students' Self-Efficacy in Paediatric Medication Administration and Their Self-Confidence Levels in Clinical Decision-Making
No full textUtli Ozbay, Hediye/0000-0002-4732-9503; Butun, Ahmet/0000-0002-6856-9389Background Preventing medication errors and ensuring safe medication application for students to enhance their self-efficacy are important for patient safety. Improving self-efficacy and self-confidence and teaching strategies for managing the anxiety of nursing students during medication administration to children are crucial in paediatric clinical practises. Aim The primary aim of this study was to evaluate nursing students' medication administration self-efficacy in children, self-confidence anxiety, and self-esteem in clinical decision-making. The second aim was to reveal the mediating role of self-esteem in the relationship between nursing students' self-efficacy in medication administration in children and self-confidence and anxiety levels in clinical decision-making. Methods This study employed a cross-sectional survey research design. A total of 317 nursing students participated in the study. The data were collected between 16/09/2024 and 30/09/2024 via face-to-face survey technique. The data were collected using Student Introduction Form, Medication Administration Self-Efficacy Scale in Children for Nursing Students, Nursing Anxiety and Self-Confidence with Clinical Decision-Making Scale, and Rosenberg Self-Esteem Scale Short Form. Results Nursing students reported low self-efficacy (45.53 +/- 15.85) and self-confidence (62.61 +/- 30.16) in paediatric medication administration, along with moderate anxiety levels (89.20 +/- 41.99). However, self-esteem levels were high (1.91 +/- 0.52). Self-esteem was found to partially mediate the relationship between self-efficacy and self-confidence but did not significantly mediate the relationship between self-efficacy and anxiety. Among the participants, 39.4% stated that they did not make a mistake in calculating the medication dose in children. 69.1% of participants reported a need for training in the preparation and administration of paediatric medications. Conclusion The results suggest that interventions to improve self-esteem could enhance nursing students' self-confidence in clinical decision-making, particularly in paediatric medication administration. Incorporating self-esteem-building activities and targeted training into nursing curricula is recommended to address low self-efficacy and moderate anxiety levels. These results have important implications for nursing education, suggesting that such interventions could reduce medication errors and improve patient safety. Future research should explore the long-term impact of these interventions on clinical performance and patient outcomes
The Mediating Role of Psychological Resilience in the Relationship Between Workplace Violence and Job Stress Among Healthcare Workers
No full textBackground Workplace violence is a widespread, global public healthcare concern among healthcare employees. The present study aimed to examine the mediating role of psychological resilience in the relationship between workplace violence and job stress among healthcare employees. Materials and methods The population of the study, which had a descriptive and correlational design, consisted of all healthcare employees working in a hospital in the southeast of Turkey, and the study was completed with 515 healthcare employees. The data were collected between 20.05.2024 and 15.09.2024 using a face-to-face interview technique with a data form consisting of 4 sections. The data collection form consists of 4 sections: socio-demographic characteristics, Psychological Violence Behaviors at Workplace Scale, A Work Stress Scale-20, Brief Psychological Resilience Scale. The data were then analyzed by using the SPSS software. Descriptive statistics and parametric methods, Pearson Correlation Analysis, and Linear Regression were used in the evaluation of the data, and hierarchical regression analyses regarding the mediation effect were made by using the PROCESS Model 4. A p-value < 0.05 was accepted as significant in the analyses. Results A total of 55.9% of the participants were female and 44.1% were male. When the occupational distribution was evaluated, the largest group was nurses with 55.3%, followed by midwives with 12.6% and physicians with 7.4%. The total mean score on the Scale of Psychological Violence Behaviors in the Workplace was 37.27 +/- 39.51, the total mean score on the Short Psychological psychological resilience Scale was 20.41 +/- 4.32, and the total mean score on the Job Stress Scale was 46.51 +/- 20.72. A negative and significant relationship was detected between the psychological psychological resilience scale total score and the total score of Psychological Violence Behaviors in the Workplace. A positive and highly significant relationship was detected between the total score of the Job Stress Scale and the total score of Psychological Violence Behaviors in the Workplace. A negative and significant relationship was detected between psychological resilience and job stress. The effect of psychological violence in the workplace on psychological resilience was significant. Conclusion This study suggests that workplace violence increases job stress by weakening psychological resilience. Psychological resilience plays a partial role in moderating this effect. Reducing the negative impacts of Job Stress and psychological violence on individuals and protecting and developing the psychological resilience of healthcare staff is a critical priority for the well-being of employees and for institutions to achieve their sustainable targets
First Report of Fusarium Solani Causing Wilt and Stem Rot on Lisianthus (Eustoma Grandiflorum) in Türkiye
No full textOzer, Goksel/0000-0002-3385-252
Artificial Intelligence Threats Against Family and Religion: Proposed Solutions Through the Lenses of Sunnah
No full textThis study examines the multidimensional threats posed by rapidly advancing artificial intelligence (AI) technologies to the family unit and religious values within it, through the normative framework of the Sunnah, and offers solution-oriented proposals. AI is evaluated not only as a technical development but also as an ideological tool that, shaped by a transhumanist philosophical background, transforms religious values, privacy, gender roles, and perceptions of parenthood. Threats emerging from data-driven, algorithmic, and philosophical levels include the erosion of religious values in the family, violations of privacy, the transformation of traditional gender roles, and the systematic marginalization of Islamic references. The findings reveal that AI operates not only as a technical mechanism but also as an ideological agent that reshapes the structure of the family. Accordingly, the study proposes concrete strategies from the perspective of Islamic values, based on the Sunnah of the Prophet, in response to the threats AI poses to the family unit, aiming to fill a significant gap in the existing literature. Indeed, academic studies that offer concrete solutions to AI-induced threats against the family are quite limited. The study employs a qualitative analysis method based on literature review, examining current studies on the effects of AI technologies on the family unit, and evaluates these effects in light of the fundamental principles found in the Sunnah of the Prophet. In particular, fundamental tenets and principles safeguarded by the Sunnah-such as privacy, modesty, morality, marriage, and fidelity-are interpreted in line with the higher objectives of Islamic law, including the protection of life, property, intellect, lineage, and religion. Within this framework, the study introduces novel and innovative proposals such as the "AI Family Ethics Charter," "AI-Based Family Filter Programs" and "AI Awareness Education Programs.
Relationships Among Mediterranean Diet Adherence, Sustainable Food Literacy, and Depression in Healthcare Professionals
No full textBackground The Mediterranean diet has been linked to beneficial physical and mental health outcomes, whereas sustainable food literacy supports environmentally responsible and health-conscious eating behaviors. Healthcare professionals, owing to their societal role, are a critical group for promoting these practices. Objectives This study aimed to examine the relationships among Mediterranean diet adherence, sustainable food literacy, and depression levels among healthcare workers and to explore their associations with demographic and lifestyle factors. Methods A cross-sectional study was conducted with 251 healthcare workers. Data were collected via the Mediterranean Diet Adherence Screener (MEDAS), the Sustainable Food Literacy Scale, and the Beck Depression Inventory. Statistical analyses included correlation and regression models. Results Compared with men, women scored higher on the sustainable food literacy subdimension. Nonsmokers demonstrated greater adherence to the Mediterranean diet, whereas individuals with chronic diseases had higher depression scores. Individuals with chronic diseases reported higher depression levels. The lowest adherence rates within the MEDAS items were observed for wine, fish and seafood, and fruit consumption, whereas the highest adherence was found for using tomato-garlic-onion sauces and preferring white over red meat. The participants with minimal depression reported significantly higher MEDAS and food literacy (knowledge subscale) scores than did those with severe depression. MEDAS scores were positively correlated with sustainable food literacy and negatively correlated with body mass index. Regression analysis indicated that depression negatively predicted both the MEDAS score and the sustainable food literacy score. Conclusions The findings emphasize the interconnectedness of adherence to the Mediterranean diet lozenge, sustainable food literacy, and mental health among healthcare professionals. Integrating nutrition education and promoting the Mediterranean diet may enhance psychological well-being while fostering sustainable eating behaviours. Future research should expand to diverse professional groups and evaluate the impact of targeted interventions
Some Innovations for Hardy-Type Inequalities on Time Scales
No full textIn this article, we introduce some innovations for the validity of a generalized two-weighted and variable exponent Hardy-type inequality on time scales via diamond−α integral. The corresponding continuous case is given when T = R. At the end of our study, some applications are added that prove the validity of our main result for some continuous results that are well-known in the literature. © Soc. Paran. de Mat
Comparison of Machine Learning Algorithms for Automatic Prediction of Alzheimer Disease
No full textBackground:Alzheimer disease is a progressive neurological disorder marked by irreversible memory loss and cognitive decline. Traditional diagnostic tools, such as intracranial volume assessments, electroencephalography (EEG) signals, and brain magnetic resonance imaging (MRI), have shown utility in detecting the disease. However, artificial intelligence (AI) offers promise for automating this process, potentially enhancing diagnostic accuracy and accessibility.Methods:In this study, various machine learning models were used to detect Alzheimer disease, including K-nearest neighbor regression, support vector machines (SVM), AdaBoost regression, and logistic regression. A neural network was constructed and validated using data from 150 participants in the University of Washington's Alzheimer's Disease Research Center (Open Access Imaging Studies Series [OASIS] dataset). Cross-validation was also performed on the Alzheimer Disease Neuroimaging Initiative (ADNI) dataset to assess the robustness of the models.Results:Among the models tested, K-nearest neighbor regression achieved the highest accuracy, reaching 97.33%. The cross-validation on the ADNI dataset further confirmed the effectiveness of the models, demonstrating satisfactory results in screening and diagnosing Alzheimer disease in a community-based sample.Conclusion:The findings indicate that AI-based models, particularly K-nearest neighbor regression, provide promising accuracy for the early detection of Alzheimer disease. This approach has potential for further development into practical diagnostic tools that could be applied in clinical and community settings
The Impact of Physical Environment on Customer Loyalty in Upscale Restaurants in Turkey
No full textThis study investigates how physical environmental factors impact customer satisfaction and loyalty in upscale restaurants, employing partial least squares structural equation modeling (PLS-SEM) to overcome typical constraints of small and medium samples. PLS-SEM’s capacity to handle complex mediation and multiple latent variables strengthens the robustness of the findings. Data collected from fine-dining venues in culturally rich regions of southeastern Turkey indicate that elements such as aesthetics, ambiance, and service staff quality play significant roles in shaping customer satisfaction, which in turn strongly influences loyalty. Some environmental factors, including table setting and lighting, showed limited direct effects but still contributed indirectly through satisfaction. The interplay between physical environment and human interaction highlights a comprehensive approach to enhancing customer experience. While providing meaningful insights, the study’s focus on specific regional and cultural context limits generalizability, highlighting the need for broader research across different hospitality sectors and geographic areas. Nonetheless, the findings enhance the theoretical framework by confirming the mediating role of satisfaction within the DINESCAPE model and offer practical implications for hospitality managers aiming to foster customer retention through strategic environmental design. © 2025 Elsevier B.V., All rights reserved
Association Between Abo Blood Group, Peripheral Artery Disease Lesion Severity, and Coronary Artery Disease Coexistence
No full textEvsen, Ali/0000-0002-3780-7137Background: This study aims to investigate the relationship between ABO blood groups and the severity of peripheral artery disease (PAD) lesions, the coexistence of coronary artery disease (CAD) with PAD, and to identify which blood groups may be more predisposed to these conditions. Methods: This study, which has a single-center and retrospective design, includes 305 patients diagnosed with peripheral artery disease (PAD) between 2015 and 2021. The patients were selected from those with at least 50% stenosis detected by computed tomography (CT) angiography. The severity of PAD lesions was evaluated according to the TransAtlantic Inter-Society Consensus (TASC-II) classification, and the presence of CAD was determined by simultaneous conventional coronary angiography. Demographic data, comorbidities, and laboratory results were collected, and statistical analyses were performed using chi-square tests, logistic regression, and t-tests. All of these patients were divided into 2 groups based on their ABO blood types: O and non-O blood groups. Results: This study demonstrates a significant relationship between blood group classification and both the severity of PAD and the prevalence of CAD. Patients with non-O blood groups exhibited a higher likelihood of having severe PAD lesions (TASC-C and TASC-D) compared to those with O blood groups, who more frequently had milder lesions (TASC-A and TASC-B) (P < 0.001). The prevalence of CAD was also significantly higher among patients with non-O blood groups than those with the O blood group (54.4% vs. 36.4%; P = 0.003). In the logistic regression analysis, non-O blood groups, alongside age, hypertension (HT), and chronic kidney disease (CKD), emerged as independent predictors of severe PAD (P < 0.001 for non-O blood groups). Similarly, older age and non-O blood group status were identified as significant independent predictors of CAD (P = 0.004). These findings suggest that blood group classification, particularly non-O groups, may influence the severity and coexistence of PAD and CAD. Conclusion: Our study reveals a significant association between ABO blood groups and both the severity of PAD and the association of CAD, and shows that non-O blood groups are linked to more severe forms of these conditions. These findings highlight the potential role of ABO blood groups in cardiovascular risk stratification, suggesting a need for further research to confirm these associations and understand their clinical implications