Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12514/3596

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Citation - Scopus: 8
Protection Coordination Practice in Electrical Substation Part-1 Overcurrent and Earth Fault Protection - Case Study of Siddik Kardesler Substation (SKS), Istanbul, Turkey
(Gazi Üniversitesi, 2017) Shobole, A.; Baysal, M.; Wadi, M.; Tür, M.R.
Protection coordination is the heart of all power systems. To ensure a quality and reliable operation of the power systems, an electrical fault must be cleared within a short time. This can be achieved by proper coordination between the protection relays. In Siddik Kardesler Substation the MV voltage feeders’ protection is provided by overcurrent relays. This paper is principally concerned with practical protection coordination of the electrical substation by using Siddik Kardesler Substation substation as a case study. In the Part-2, distance and differential protection will be discussed. Finally, after test and commissioning, the substation is successfully energized without a problem. © 2017, Gazi Universitesi. All rights reserved.
Logical Foundations and Social Consequences of Digital Transformation
(Nova Science Publishers, Inc., 2025) Çetres, I.H.; Telli, A.
The 17th-century scientific revolution led to radical changes in the individual and social sphere. With the impact of science, technology has become a determinant in daily life. By the 20th century, the determinism of technology had a foundational role in human logical thinking as well as ethical and social life. This effect of technology generates new thoughts on the transformations of the digital age and brings different reflections to the agenda. In this study, the innovations emerging in the digital age will be analyzed from two perspectives. First, the impact of digitalization on the use of forms of reasoning will be discussed, as well as the logical foundations of the digitalization era. In this context, the course of logic studies, which are the basis of artificial intelligence research in the 20th century, and the research topics of these studies will be examined. Artificial intelligence studies, which emerged to solve problems encountered in fields such as logic and mathematics in their early periods, have moved from being a tool to being the focus of studies as a research object. As the second aim, the effects of the digital age on social life will be discussed. The possibilities offered by the digital age produce a two-way effect on the sphere of human action. While the digital age expands the boundaries of the public sphere on the one hand, it creates atomized individualities on the other. Therefore, multidimensional appearances emerge with the possibilities offered by the digital world. This situation makes it necessary to address individual and social relations in the digital age in light of new developments. In this context, our study aims to evaluate the digital age in terms of its logical foundations and its consequences in moral and social life. © 2025 Nova Science Publishers, Inc.
Evaluation of Inflammatory and Oxidative Markers and Their Diagnostic Value in Schizophrenia
(Multidisciplinary Digital Publishing Institute (MDPI), 2025) Gunes, M.; Uyar, B.; Dönmezdil, S.; Kaplan, İ.
Objective: Schizophrenia is a chronic psychiatric disorder associated with increased oxidative stress. We aimed to investigate serum myeloperoxidase (MPO), catalase (CAT), and malondialdehyde (MDA) levels and their diagnostic value in schizophrenia. Methods: Sixty patients with schizophrenia, diagnosed according to DSM-V criteria, and 65 age- and sex-matched healthy controls were enrolled. Clinical severity was assessed with the Positive and Negative Syndrome Scale (PANSS) and Clinical Global Impression (CGI). Serum MPO and CAT were measured using ELISA, and MDA levels were determined spectrophotometrically. Receiver operating characteristic (ROC) analysis was performed to assess diagnostic performance. Results: Compared with controls, schizophrenia patients demonstrated significantly higher serum MDA (5.64 vs. 3.42 pg/mL, p < 0.001), MPO (77.25 vs. 31.42 ng/mL, p < 0.001), and CAT (22.06 vs. 6.58 ng/mL, p < 0.001) levels. Subgroup analysis revealed consistently increased values across patients receiving typical, atypical, or combined antipsychotics. ROC analysis indicated good diagnostic accuracy: AUC = 0.884 for MDA (cut-off: 3.79 pg/mL), AUC = 0.882 for MPO (cut-off: 34.56 ng/mL), and AUC = 0.875 for CAT (cut-off: 9.38 ng/mL), all p < 0.001. Combined analysis of MPO, CAT, and MDA yielded superior diagnostic performance (AUC = 0.995; sensitivity = 98.3%). MPO was positively correlated with PANSS-N scores (r = 0.275, p = 0.033), and both MPO and CAT were correlated with CGI severity scores. Conclusions: Elevated MPO, CAT, and MDA levels indicate increased oxidative stress in schizophrenia. MPO may also be associated with negative symptom severity. These findings suggest potential utility of oxidative stress biomarkers as adjunctive diagnostic tools, although results should be considered preliminary and validated in larger, drug-naïve, and longitudinal samples. © 2025 by the authors.
Determinants of Online Health Information Seeking and Trust in Kuwait
(BioMed Central Ltd, 2025) Al-Hajeri, M.; Çakmak, C.; Biçer, İ.; Çakmak, M.A.; Al-Dousari, E.
Health information seeking behaviors and trust in health information can facilitate medical decision-making. This study aimed to determine the effects of certain sociodemographic, health, and health-related characteristics associated with online health information seeking behaviors and trust in health information. The study was conducted with 590 participants from Kuwait, and the logistic regression method was used. Gender, perceived health status, and health information-seeking topics (illness, doctor, medication, etc.) influenced health information-seeking behaviors. Another finding was that employment status significantly influenced trust in online health information related to the research topic. Various sociodemographic and other characteristics influence people’s seeking behaviors for health information online and their trust in health information. Seeking behaviors and trust in online health information can improve healthcare outcomes by promoting communication and interaction between patients and healthcare providers. By examining the impact of sociodemographic and health-related factors on patient behaviors and trust in online health information, healthcare providers can better tailor their communication with patients to each individuals’ needs. © The Author(s) 2025.
Silage Quality and Economic Efficiency Analysis of Hungarian Vetch (Vicia Pannonica Crantz) and Oats (Avena Sativa L.) Mixed at Different Ratios
(Agricultural Research Communication Centre, 2025) Eren, A.; Karadenız, E.; Kaya, A.
Background: In this study, it was aimed to compare Hungarian vetch and oats mixed at different ratios not only in terms of silage quality but also in terms of their economic efficiency. “Anadolu Pembesi” Hungarian vetch variety and “Albatros” oat variety were used as plant material in the experiment. Methods: Research was carried out during the winter of 2020-2021 on a farmer field in the Kızıltepe district of Mardin province (Turkiye). In the study, 100% Hungarian vetch, 100% oat, 70% Hungarian vetch + 30% oat, 60% Hungarian vetch + 40% oat, 50% Hungarian vetch + 50% oat, 30% Hungarian vetch + 70% oat silages were tested. Besides silage quality, input-cost analysis and comparison in terms of economic efficiency were also made in the study. Result: pH value, dry matter, crude protein ratio, acid detergent insoluble fiber, neutral detergent insoluble fiber, digestible dry matter, dry matter consumption, relative feed value and lactic acid ratio varied between 3.88-4.11; 25.02-29.24%; 12.17-19.64%; 31.34-40.24%; 45.27-55.14%; 57.55-64.49%; 2.18-2.65%; 97.15-132.58 and 1.82%-2.38%, respectively. When all the features are evaulated together, 70% Hungarian vetch + 30% oat silage mixture was recommended due to high crude protein ratio, high relative feed value and lactic acid ratio in between low acid detergent insoluble fiber and neutral detergent insoluble fiber ratios. On the other hand, 50% HVS + 50% OS and 60% HVS + 40% OS mixtures stand out as balanced options in terms of both economic gain and quality. This ratio represents the economic optimum point in roughage production and offers an important alternative in the creation of sustainable feed resources. © 2025, Agricultural Research Communication Centre. All rights reserved.
Examining the Angiogenic and Antioxidant Effects of Various Paracetamol Dosages Using a Chorioallantoic Membrane Model
(Yuzuncu Yil University Tip Fakultesi, 2025) Savaş, H.B.; Batur, T.
Introduction: Paracetamol is one of the most popular and frequently used analgesic and antipyretic medications in the world. It was aimed at investigating the effects of paracetamol on angiogenesis and oxidative stress markers in the in vivo chorioallant oic membrane model (CAM). Materials and Methods: The 40 fertilized chick eggs were used in the experiment. The four groups were as; the control group (n = 10), 10-6 M bevacizumab group (n = 10), 10-4 M paracetamol group (n = 10) and 10-5 M paracetamol group (n = 10). Stereoscopic microscopy was used to assess angiogenesis on the window that was opened on the eggshell. Total oxidant capacity (TOS), total antioxidan t capacity (TAS), and oxidative stress index (OSI) were analyzed in albumen specimens. The scoring methodology described in earlier research publications was used to determine and compare the average score values. One-way analysis of variance and the post hoc Tukey test were performed to assess oxidative stress markers between the groups. Results: The bevacizumab group demonstrated a strong anti-angiogenic effect, but the control group and both paracetamol groups showed no anti-angiogenic effect. Paracetamol increased TAS values at a 10-4 M concentration. The bevacizumab group's TOS and OSI values were significantly higher compared to the control group. Conclusion: Paracetamol is used by a lot of people; healthy blood vessel growth and the balance between oxidants and antioxidants are important. The important result of this study is that paracetamol has strong antioxidant effects and no anti-angiogenic effects. © 2025, Van Medical Journal. All rights reserved.
Media
(Taylor and Francis, 2025) Eşitti, Ş.; Işik, M.
Understanding the Physical Language of the Psyche: Aristotle’s Influence on Ottoman Physiognomists
(Abidin Temizer, 2025) Yilmaz, B.
Physiognomy, the assessment of an individual's character through physical appearance, originates from Aristotle, whose concepts significantly impacted subsequent literature. Ottoman literature, influenced by Arabic and Persian traditions, encompasses manuscripts referred to as Kıyâfetnâme, which illustrate this practice. The initial Arabic texts on physiognomy were translations of Aristotle's books, highlighting his direct impact. This influence is also apparent in Kıyâfetnâmes, which embody Arabic literary traditions. This study analyses three Kıyâfetnâmes from Ottoman literature in regard to Aristotle's perspectives, emphasising their conceptual parallels. The results demonstrate that numerous viewpoints articulated in these writings closely correspond with Aristotle’s concepts, implying that physiognomy possesses cross-cultural relevance. Consequently, Kıyâfetnâmes are invaluable resources for scholars investigating the historical evolution of physiognomy. © 2025, Abidin Temizer. All rights reserved.
Liraglutide and Empagliflozin Alleviate Diabetic Cardiomyopathy by Reducing Oxidative Stress and Inflammation
(Academia Nacional de Medicina, 2025) Uçar-Ekin, C.; Oflazoğllu-Diken, H.; Baksi, N.; Aşır, F.; Şahika-Gökdemir, G.
Background: Diabetes mellitus (DM) is a growing metabolic disease worldwide, associated with severe complications. Glucagon-like peptide-1 analogs and sodium-glucose cotransporter-2 inhibitors are promising therapeutic options for diabetic cardiomyopathy (DCM), although their cardioprotective mechanisms are not yet fully understood. Objective: This study evaluates the effects of liraglutide and empagliflozin on oxidative stress, inflammation, and histological changes in cardiac tissue in DCM. Materials and methods: Thirty-seven male Wistar albino rats were divided into four groups. Diabetes was induced in three groups using streptozotocin and nicotinamide. The groups were: (1) Control, (2) DM, (3) DM + Liraglutide (0.6 mg/kg, subcutaneously, 8 weeks), and (4) DM + Empagliflozin (30 mg/kg, oral gavage, 8 weeks). Blood samples were analyzed through enzyme-linked immunosorbent assay for tumor necrosis factor-α (TNF-α), interleukin-1 (IL-1), malondialdehyde (MDA), superoxide dismutase (SOD), advanced glycation end (AGE) products, and insulin. Cardiac tissue was examined histopathologically. Results: Diabetes significantly increased blood glucose, IL-1, TNF-a, MDA, and AGE (p < 0.01), while SOD levels decreased (p < 0.01), alongside myocardial damage. Liraglutide and empagliflozin improved all parameters (p < 0.01). Conclusion: Liraglutide and empagliflozin mitigate diabetes-induced cardiac damage, likely by reducing fibrosis, oxidative stress, and inflammation. © 2025 Academia Nacional de Medicina de México, A.C. Publicado por Permanyer.
Strong State and Plural Society in Turkey
(Bloomsbury Publishing Plc., 2021) Çaha, Ö.
The author draws attention to the strong state tradition and the pluralistic society that both prevailed in Turkey. He argues that the Turkish state tradition envisages centralization, social cohesion and an obedient political culture. Through the modernization process of the last century, it has tried to change the society from top to down, and built an ideological and unitarian public sphere. However, the transition to multi-party system in 1950 and the liberalization policies that followed in the post-1980s have prepared the ground for different social movements to come into existence in the same public arena. Social movements which developed particularly among Kurds, Alevis and women emphasize social diversity, pluralism, participation, limited authority, freedom and human rights. They, thus, have paved the way for the transformation of the ideological public sphere into a plural and a civil public domain. The author follows the traces of all these developments from the Ottoman Empire to the last decades of the Republican Turkey. Moving from the case of Turkey he makes an important contribution to the literature on various issues such as civil society, public sphere, modernization, democracy, and social movements. © 2021 The Rowman and Littlefield Publishing Group, Inc. All rights reserved.
Citation - WoS: 1
Comparative Evaluation of Machine Learning Models for Discriminating Honey Geographic Origin Based on Altitude-Dependent Mineral Profiles
(MDPI, 2025) Gurbuz, Semra; Kivrak, Seyda
Authenticating the geographical origin of honey is crucial for ensuring its quality and preventing fraudulent labeling. This study investigates the influence of altitude on the mineral composition of honey and comparatively evaluates the performance of chemometric and machine learning models for its geographic discrimination. Honey samples from three distinct altitude regions in T & uuml;rkiye were analyzed for their mineral content using Inductively Coupled Plasma-Mass Spectrometry (ICP-MS). Results revealed that Calcium (Ca), Potassium (K), and Sodium (Na) were the predominant minerals. A significant moderate negative correlation was found between altitude and Ca concentration (r = -0.483), alongside a weak negative correlation with Copper (Cu) (r = -0.371). Among the five supervised models tested (Partial Least Squares-Discriminant Analysis (PLS-DA), Random Forest (RF), Support Vector Machine (SVM), Extreme Gradient Boosting (XGBoost), and Artificial Neural Network (ANN)), PLS-DA achieved the highest classification accuracy (94.9%). Variable importance analysis consistently identified Ca as the most influential discriminator across all models, followed by Barium (Ba) and Cu. These minerals, therefore, represent key markers for differentiating honey by geographical origin. This research demonstrates that an integrated model utilizing mineral profiles provides a robust, practical, and reliable method for the geographical authentication of honey.
Effects of Spice Mixtures and Konjac Glucomannan-Whey Protein Isolate Based Edible Films on the Microbiological Stability and Textural Properties of Cheese
(MDPI, 2025) Celikel Gungor, Asli; Akin, Mutlu Buket; Ozer, Emir Ayse
Some of the main factors affecting the product quality and shelf life of cheese include weight loss during storage, microbial spoilage, and structural changes in processing technology. Edible films are coating materials produced with the aim of improving quality properties and extending shelf life, and various studies have been conducted on their properties. However, research examining the effects of coatings enriched with spice-derived natural antimicrobial compounds is scarce in relation to cheese quality. In this study, edible films and spice mixtures were applied to cheese during storage, and their effects on weight loss, textural properties, and microbiological stability were investigated. Response surface methodology was used to determine the edible films and spice mixtures used in the coatings. The amounts of whey protein isolate and konjac glucomannan in the composition of edible films were found to affect water vapor permeability, elongation coefficient, and tensile strength properties; in the spice mixtures, thyme, rosemary, and red pepper were found to have antifungal effects. Based on the data obtained, it was determined that applying an edible film coating to the cheese surface reduced weight loss and improved textural properties, while applying a spice mixture coating increased microbial stability. This study demonstrates that the use of edible films supported by natural protective components could be a practically applicable, innovative, and sustainable approach to improving the properties of cheese and extending its shelf life.
Advanced Fault Classification in Induction Motors for Electric Vehicles Using a Stacking Ensemble Learning Approach
(MDPI, 2025) Benkaihoul, Said; Khadar, Saad; Ozupak, Yildirim; Aslan, Emrah; Almalki, Mishari Metab; Mossa, Mahmoud A.
This study proposes an innovative stacking ensemble learning framework for classifying faults in induction motors utilized in Electric Vehicles (EVs). Employing a comprehensive dataset comprising motor data, such as speed, torque, current, and voltage, the analysis encompasses six distinct conditions: normal operating mode, over-voltage fault, under-voltage fault, overloading fault, phase-to-phase fault, and phase-to-ground fault. The proposed model integrates Gradient Boosting (GB), K-Nearest Neighbors (KNN), Gradient Boosting (XGBoost), Support Vector Machine (SVM), Decision Tree (DT), and Random Forest (RF) algorithms in a synergistic manner. The findings reveal that the RF-GB-DT-XGBoost combination achieves a remarkable accuracy of 98.53%, significantly surpassing other methods reported in the literature. Performance is evaluated through metrics including accuracy, precision, sensitivity, and F1-score, with results analyzed in comparison to practical applications and existing studies. Validated with real-world data, this study demonstrates that the proposed model offers a groundbreaking solution for predictive maintenance systems in the EV industry, exhibiting high generalization capacity despite complex operating conditions. This approach holds transformative potential for both academic research and industrial applications. The dataset used in this study was generated using a MATLAB 2018/Simulink-based Variable Frequency Drive (VFD) model that emulates real-world EV operating conditions rather than relying solely on laboratory data. This ensures that the developed model accurately reflects practical electric vehicle environments.
Role of Machine Learning Segmentation Method Based on CT Images in Preoperative Staging of Oral Cavity Cancer
(Springer, 2025) Can, Sermin; Succo, Giovanni; Coskun, Cengiz; Korkmaz, Mehmet Hakan; Akdag, Mehmet
ObjectiveThe article aims to demonstrate, using oral cavity SCC as an example, that machine learning can accurately predict the T and N staging of OSCC, using the conventional radiologist/ surgeon interpretation of the scan as the reference standard.Materials and methodsTwo datasets for tumor mass and nodal metastasis were used in this study. Each of the datasets consists of 179 Contrast-enhanced Computed Tomography images. A customized U-Net deep learning architecture was employed for the segmentation of tumor masses and nodal metastases. Comprehensive maps of the tumor mass and metastatic lymph nodes were generated. Following this mapping process, the dimensions of the identified lesions were measured and classified according to the Tumor and Lymph Node Metastasis classification system. The resulting classifications were then compared with those established by a radiologist to assess accuracy.ResultsThe performance metrics for tumor mass and metastasis segmentation were as follows: binary accuracy value of 98.81% and 99.58%, respectively. The accuracy values were 75.00% for tumor grade classification and 97.22% for nodal status classification.ConclusionWe emphasize that machine learning-based segmentation methods effectively predict tumor mapping and staging in oral cavity tumors, demonstrating correlation with surgeons/radiologists' assessments. As such, this model can be a diagnostic tool that supports clinicians in making informed therapeutic decisions. We foresee that, with the continuous evolution of technology, the segmentation model employed in our study will undergo significant advancements, ultimately facilitating three-dimensional tumor mapping in the near future.
A Study on the Low-Cost Synthesis of Selenium Nanoparticles From Chickpea Agricultural Wastes With an Environmentally Friendly Approach and Their Potential as Anticancer Agents
(Wiley-VCH Verlag GmbH, 2025) Baran, Ayse; Dogan, Serap
Nanoparticles are esteemed commodities owing to their exceptional physicochemical characteristics. They are utilized effectively throughout various domains, ranging from agriculture to the aerospace business. Owing to ecological considerations, green synthesis is significantly essential among the strategies for procuring these products using ecologically sustainable technology. This work synthesized selenium nanoparticles (Se NPs) from chickpea plant peels, an agricultural waste, using an environmentally acceptable, cost-effective, and easy method. The characteristics of these valuable Se NPs were ascertained through UV-visible spectrophotometry (UV-vis), X-ray diffraction (XRD), scanning electron microscopy (SEM), energy dispersive X-ray spectroscopy (EDX), Transmission Electron Microscopy (TEM), scanning transmission electron microscopy (STEM), dynamic light scattering (DLS), Fourier transform infrared spectroscopy (FTIR), and atomic force microscopy (AFM) analyses It was established that Se NPs predominantly exhibited spherical and hexagonal morphologies, with peak absorbance at wavelengths of 290 and 360 nm. It was established that Se NPs had a surface charge distribution of -21.8 mV. The synthesized Se nanoparticles exhibited an 85.53% suppression of A549 and OVCAR-3 cancer cells, as evaluated by the MTT experiment. They were demonstrated to be important in inhibiting cancer cells.
Evaluation of Antibiotic Resistance, Staphylococci Carriage and Biochemical Parameters of Intensive Care Unit Patients
(Nature Portfolio, 2025) Aslan, Ercan; Cetik Yildiz, Songul
Carriers and diseases caused by Staphylococci, one of the important hospital pathogens, are an important problem in the emergence of antibiotic resistance and finding effective treatments. Our study aimed to investigate the relationship between changes in hematological and biochemical parameters and the development of antibiotic-resistant Staphylococcus infections in patients hospitalized in the intensive care unit (ICU). The study included the 1st and 5th day data of 100 patients who had been hospitalized in the adult ICU for at least 5 days. Demographic data, blood and biochemical parameters and culture samples of the patients were evaluated. The higher NLR, CRP, LAC, and WBC values and lower HGB values observed on the 5th day compared to the 1st day suggest that patients in the ICU were likely exposed to hospital-acquired Staphylococcus infections, which adversely affected their prognosis. Indeed, the 31 Staphylococcus strains identified were isolated from blood (18), sputum (6), wound (4), urine (0), stool (0) and, catheter (3) cultures. It was determined that the most isolated strains, S. aureus, were resistant to levofloxacin, erythomycin, tetracycline, nitroforantoin, trimethoprim/sulfamethoxazole, oxacillin MIC, clindamycin, fusidic acid and oxsf. Based on our results, the observed increase in hematological and biochemical values on day 5 relative to day 1 reinforces the probability of hospital-acquired infection. Since this situation will put the life of the patient and the individuals related to the patient at risk, monitoring these values, early diagnosis and initiation of treatment are vital.
Relationships Among Mediterranean Diet Adherence, Sustainable Food Literacy, and Depression in Healthcare Professionals
(BMC, 2025) Ornek, Nesrin O.; Akcali, Caglar; Ozyurt, Mehmet
Background 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.
Decarbonizing Buildings With Autoclaved Aerated Concrete (AAC): Climate-Specific Meta-Analysis of Global Performance
(Taylor & Francis Ltd, 2025) Azhar, Jasim; Aydin, Serdar; Zami, Mohammad Sharif
The building sector, which accounts for 40% of global energy consumption and 36% of CO2 emissions, requires immediate access to scalable low-carbon materials. The theoretical thermal advantages of Autoclaved Aerated Concrete (AAC) remain incomplete because field performance reports show inconsistent results between 15% and 50% energy savings, and multiple unaddressed implementation challenges have prevented its strategic adoption. The systematic review used worldwide climate-based empirical data to resolve existing performance discrepancies and develop practical implementation strategies. The meta-analysis of 12 studies comprising 847 dwelling units, assessed using CASP and ROBINS-I quality tools, showed that energy savings depend on climate zone: hot-arid zones achieving 48.3% (95% CI: 42.1-54.5%), cold-temperate zones 32.7% (27.3-38.1%), and hot-humid zones 28.4% (22.9-33.9%). The strongest predictor of performance was cooling degree days (beta = 0.0089, p < 0.001), while implementation quality explained 26% of performance variation. Economic modelling revealed median payback periods from 4.2 years (hot-arid) to 9.7 years (cold-temperate), with a 78-92% probability of positive lifetime returns. Carbon pricing at $50/tCO(2) reduces payback by 23%. The research develops a climate-oriented analytical system that analyses performance variations to help designers and policymakers achieve maximum AAC decarbonization results by combining environmental data with system information and financial metrics. [GRAPHICS] .
Inclusive Leadership's Impact on Career Sustainability: Understanding the Mediating Role of Thriving at Work in Humanitarian Organizations
(Routledge Journals, Taylor & Francis Ltd, 2025) Dawoud, Almohammad; Cumali, Kilic; Bek, Danya Raouf
This study examines the influence of Inclusive Leadership (IL) on Thriving at Work (TW) and Career Sustainability (CS), with a particular focus on the mediating role of thriving in Humanitarian Organizations (HOs). Drawing on Self-Determination Theory (SDT), the Job Demands-Resources (JD-R) model, and Social Information Processing Theory (SIPT), the research presents IL as a contextual resource that encourages psychological safety, fairness, and openness. By fostering these conditions, IL strengthens employees' vitality and capacity for learning, enabling them to remain adaptable and maintain their careers in demanding environments. Survey data were collected from 264 employees working in both international and local humanitarian organizations, and structural equation modeling (SEM) was applied to test the proposed framework. The results indicate that IL has a positive effect on TW, and that thriving partially mediates the link between IL and CS. This demonstrates the crucial role of thriving in converting Inclusive Leadership behaviors into long-term career outcomes. Theoretically, the study advances leadership and career research by integrating IL, thriving, and sustainability into a unified framework. Practically, it suggests that humanitarian organizations should prioritize leadership development and foster supportive environments that build resilience, promote continuous learning, and enhance employee well-being.
Determining the Self-Evaluation Levels of Nursing Students' Competency in Child Patient Safety
(BMC, 2025) Butun, Ahmet; Ertekin, Kubra
Introduction The competency of nursing students in ensuring child patient safety is crucial in the healthcare landscape, particularly with the increasing emphasis on patient-centred care and safety within clinical settings. This study aims to determine the self-evaluation levels of paediatric patient safety competence among nursing students. Methods This study is a descriptive cross-sectional study. The setting of the study was Faculty of Health Sciences at the Public University located at southeastern of Turkey. The population of the study consists of 3rd and 4th-year nursing students at Faculty of Health Sciences (N = 190). A total of 162 nursing students participated in this study. Convenience sampling was used to recruit participants. Data were collected between May 12, 2025 and May 30, 2025. The data were collected by using questionnaire technique with a data collection form consisting of 3 parts: (1) demographic characteristic form, (2) Patient Safety Competency Self-Evaluation Tool, and (3) Competency Scale for Pediatric Nursing for Nursing Students. The data analysis was conducted using IBM SPSS. Results Nursing students generally have a moderate to high level of competence regarding patient safety, but they need development in certain areas such as safe medication administration. Clinical experience with paediatric patients was significantly associated with higher competency scores across all domains (p < .05). Additionally, the significantly higher patient safety and paediatric nursing competency scores of students with clinical experience highlight the importance of practical training. Receiving formal training on child health showed no significant impact on competency levels (p > .05). The majority of students (93.2%) reported a strong desire for additional training, particularly in safe medication administration, which was identified as their greatest area of concern. Conclusion This study revealed that nursing students generally have a moderate to high level of competence regarding patient safety, but they need development in certain areas such as safe medication administration. Additionally, the significantly higher patient safety and paediatric nursing competency scores of students with clinical experience highlight the importance of practical training. Vast majority of nursing students requested additional training on paediatric patient safety. Recommendations include enhancing simulation-based learning, integrating mentorship programs, and expanding paediatric-specific modules in nursing curricula to better prepare students for safe and effective paediatric care.

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