The unbreakable chain: the cycle of social inequality – violence, poverty and education by Savaş Varlık, Selahattin Akpınar, Öznur Akpınar, Recep Mehmet Görünü

“…The main rationale for the research is that the dynamics between these three elements are mostly handled independently in the existing literature. …”
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Pot-Pollen Volatiles, Bioactivity, Synergism with Antibiotics, and Bibliometrics Overview, Including Direct Injection in Food Flavor by Patricia Vit, Maria Araque, Bajaree Chuttong, Enrique Moreno, Ricardo R. Contreras, Qibi Wang, Zhengwei Wang, Emanuela Betta, Vassya Bankova

“…Therefore, the meliponine pollen processed in the nest was named pot-pollen instead of bee bread. …”
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Meteorological ingredients of heavy precipitation and subsequent lake-filling episodes in the northwestern Sahara by J. C. Rieder, J. C. Rieder, J. C. Rieder, F. Aemisegger, E. Dente, E. Dente, M. Armon, M. Armon

“…We find that LFEs are generated most frequently in autumn by the most intense HPEs, for which the key ingredients are (i) the formation of surface extratropical cyclones to the west of the North African Atlantic coast in interplay with upper-level troughs and lows, (ii) moisture convergence from the tropics and the extratropical North Atlantic, (iii) a pre-moistening of the region upstream of the catchment over the Sahara through a recycling-domino-process, (iv) coupled or sequential lifting processes (e.g. orographic lifting and large-scale forcing), and (v) the stationarity of synoptic systems that result in long-duration (typically 3 d) HPEs. …”
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How are patient partners involved in health service research? A scoping review of reviews by Sarah Cecilie Tscherning, Annesofie Lunde Jensen, Hilary Louise Bekker, Tina Wang Vedelø, Jeanette Finderup, Gitte Susanne Rasmussen, Jakob Appel Østergaard, Flemming Otto Jensen, Lotte Ørneborg Rodkjaer

“…Conclusion A significant gap exists in defining and measuring patient partner involvement. …”
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Evaluación canadiense de alfabetización física-2 (CAPL-2) como herramienta de evaluación objetiva de la alfabetización física en escolares de 8 a 12 años. Scoping review (Canadian... by Brayan Esneider Patiño Palma, Armando Vidarte Claros

“…In America and Europe, most children and adolescents do not meet the WHO's physical activity recommendations. …”
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An embedded KPI-based advisory framework for monitoring and diagnosis of soft sensor degradation by Muhammad Shahid, Haslinda Zabiri, Syed Ali Ammar Taqvi

“…The performance of soft sensors deteriorates due to changing operating conditions, sensor drift, or unexpected process disturbances. For their simplicity and interpretability, Partial Least Squares (PLS)-based soft sensors are often used in industries, but most research focuses on maintenance strategies without clear guidance on how to respond to faults. …”
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Arabic Fake News Detection: Comparative Study of Neural Networks and Transformer-Based Approaches by Maha Al-Yahya, Hend Al-Khalifa, Heyam Al-Baity, Duaa AlSaeed, Amr Essam

“…Arabic FND started to receive more attention in the last decade, and many detection approaches demonstrated some ability to detect fake news on multiple datasets. However, most existing approaches do not consider recent advances in natural language processing, i.e., the use of neural networks and transformers. …”
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Integrated Physical–Mechanical Characterization of Fruits for Enhancing Post-Harvest Quality and Handling Efficiency by Mohamed Ghonimy, Raed Alayouni, Garsa Alshehry, Hassan Barakat, Mohamed M. Ibrahim

“…Indeed, integrating empirical data with rheological models bridges gaps in fruit processing equipment design. Therefore, the objective of this research is to analyze the relationship between the mechanical and physical properties of seven economically important fruits—nectarine, kiwi, cherry, apple, peach, pear, and apricot—to assess their mechanical behavior and post-harvest quality. …”
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DSC-Net: Enhancing Blind Road Semantic Segmentation with Visual Sensor Using a Dual-Branch Swin-CNN Architecture by Ying Yuan, Yu Du, Yan Ma, Hejun Lv

“…However, the core challenge in the semantic segmentation of blind roads lies in the effective extraction of global context and edge features. Most existing methods rely on Convolutional Neural Networks (CNNs), whose inherent inductive biases limit their ability to capture global context and accurately detect discontinuous features such as gaps and obstructions in blind roads. …”
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A Systematic Literature Review on Load-Balancing Techniques in Fog Computing: Architectures, Strategies, and Emerging Trends by Danah Aldossary, Ezaz Aldahasi, Taghreed Balharith, Tarek Helmy

“…Heuristic and hybrid load-balancing approaches are most widely adopted due to their scalability and flexibility. …”
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Applications of Machine Learning Algorithms in Geriatrics by Adrian Stancu, Cosmina-Mihaela Rosca, Emilian Marian Iovanovici

“…The study is conducted using the Web of Science database for a detailed discussion. The most studied algorithms in research articles are Random Forest, Extreme Gradient Boosting, and support vector machines. …”
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Investigation of the dielectric characteristics of materials manufactured using additive technologies by S. V. Kharalgin, M. I. Voytovich

“…Based on the existing methods of measuring the dielectric characteristics of materials, the most optimal method for performing calculations in the electrodynamic computer-aided design system is selected by the finite integration method. …”
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Sound Design in Popular Music: Gen Z Perspective and Perception by Robby Ferdian, Hengki Armez Hidayat, Ayuthia Mayang Sari, Irdhan Epria Darma Putra, Ressy Fitria, Fakhri Fauzi, Malikhatul Lailiyah

“…Sound design, encompassing audio production quality, sound effects, and waveform processing, is critical in shaping diverse auditory experiences. …”
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A CHATBOT FOR POSTGRADUATE INFORMATION DISSEMINATION by Umar Emmanuel, Odulaja Godwin Oluwaseyi, Babatunde Akinbowale Nathanie

“…This has resulted in communication gaps and delayed responses to crucial and time critical queries and requests. …”
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Intelligent ESG Evaluation for Construction Enterprises in China: An LLM-Based Model by Binqing Cai, Zhukai Ye, Shiwei Chen

“…SHAP analysis reveals that environmental factors contribute most significantly to rating predictions (38.7%), followed by governance (32.0%) and social dimensions (29.3%). …”
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Sea-Ice Surface Types Characterization and SAR Volume Backscattering Properties in Response to Sea States Interactions Using Structural Feature Fusion by Iman Heidarpour Shahrezaei, Hyun-Cheol Kim

“…Despite extensive research in polar remote sensing, there is still no consensus on how sea-ice evolves in response to interactions with ocean waves, nor is there agreement on the most effective way to characterize it based on fluctuations in height profile, both of which compromise interpretations of its texture properties when observed by synthetic aperture radar (SAR). …”
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Genomic and virulent characterization of a duck-associated Salmonella serovar Potsdam from China by Hongli An, Xiamei Kang, Chenhu Huang, Chenghao Jia, Jiaqi Chen, Yingying Huang, Qianzhe Cao, Yan Li, Biao Tang, Min Yue

“…Our investigation of 195 duck embryo eggs led to the isolation of 40 (20.51%) Salmonella strains, with Salmonella serovar Potsdam being the most prevalent serovar. Most isolates were resistant to streptomycin (57.3%) and nalidixic acid (50%). …”
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Leveraging explainable AI to predict soil respiration sensitivity and its drivers for climate change mitigation by Pierfrancesco Novielli, Michele Magarelli, Donato Romano, Pierpaolo Di Bitonto, Anna Maria Stellacci, Alfonso Monaco, Nicola Amoroso, Roberto Bellotti, Sabina Tangaro

“…In this study, we applied explainable artificial intelligence (XAI) to machine learning models to predict soil respiration sensitivity (Q10) and uncover the key factors driving this process. Using SHAP (SHapley Additive exPlanations) values, we identified glucose-induced soil respiration and the proportion of bacteria positively associated with Q10 as the most influential predictors. …”
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The Problems of Formation of the National System of Personnel Training for Vocational Schools: Historical and Genetic Analysis by E. M. Dorozhkin, I. A. Сhernoskutova

“…The main methodological tool used in the work is the historical and genetic approach, which allowed the authors to identify and interpret the logic of the centennial process of gradual formation of the Soviet model of vocational education and training (VET); to analyse the requests for education of teachers and masters of industrial training, changing both in terms of scale and requirements, in particular, the requirements to the level of qualification and general culture, and to determine the range of the most effective forms towards meeting these requirements.Results and scientific novelty. …”
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Digital Health Interventions for Depression and Anxiety in Low- and Middle-Income Countries: Rapid Scoping Review by Leena W Chau, Raymond W Lam, Harry Minas, Kanna Hayashi, Vu Cong Nguyen, John O'Neil

“…ObjectiveThe purpose of this research was to conduct a rapid scoping review of the available evidence on DMHIs for depression and anxiety, two of the most common mental disorders, in LMICs. …”
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