Transparency and Accountability in Corporate Social Responsibility Programs by Diana Setiawati, Soepatini, Hanifah Febriani, Chintya Anggraeni

“…Using a qualitative juridical-normative approach complemented by field data, this research focuses on Klaten, Central Java, as a case study. Data were obtained through interviews with local officials, CSR practitioners, and community members, as well as analysis of regional regulations and corporate CSR reports.   …”
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Artificial intelligence may affect diversity: architecture and cultural context reflected through ChatGPT, Midjourney, and Google Maps by Ingrid Campo-Ruiz

“…AI-generated recommendations and images of Stockholm’s cultural context were compared with real photographs, GIS demographic data and socio-economic information about the city. …”
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The moderating role of personalized recommendations in the trust–satisfaction–loyalty relationship: an empirical study of AI-driven e-commerce by Noha Hassan, Mohamed Abdelraouf, Dina El-Shihy

“…Design/methodology/approach A quantitative research approach was used to collect data from a diverse group of e-commerce users who had interacted with AI-based recommendation systems. An online survey employing standardized scales for trust, satisfaction, loyalty, and personalization was administered, and data were analyzed using structural equation modeling (SEM) to test the hypotheses. …”
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A corpus-driven study on legal translation challenges among Arab law students: examining gender and academic level in applied legal linguistics by Dalia M. Hamed, Naif Alqurashi

“…Abstract This study introduces Applied Legal Linguistics (ALL) as a praxis-oriented framework that integrates linguistic theory, corpus-based analysis, and legal discourse studies to address the pedagogical, translational, and communicative challenges of legal language use in multilingual and cross-systemic legal contexts. Within this framework, the inquiry investigates the challenges encountered by Arab law students in the English section of the Faculty of Law as they translate legal texts between structurally and culturally divergent legal systems. …”
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In Search of Suitable Methods for Cost-Benefit Analysis of Cyber Risk Mitigation in Offshore Wind: A Survey by Yvonne Hwei-Syn Kam, Kevin Jones, Robert Rawlinson-Smith, Kimberly Tam

“…Thus, it represents an opportunity to advance knowledge in offshore wind cyber-physical systems.…”
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Platelet-to-high-density lipoprotein ratio (PHR) as a predictive biomarker for gastrointestinal cancers: evidence from NHANES by Yan Tong, Xiaojun Lou

“…The findings suggest that PHR may reflect the dynamic balance of systemic inflammation and lipid metabolism, contributing to tumorigenesis. …”
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Feasibility and Usability of Low-Field Magnetic Resonance Imaging for Pediatric Neuroimaging in Low- and Middle-Income Countries: A Qualitative Study by Rowand E, Owusu R, Sibole A, Abu-Haydar E, Delarosa JR

“…A semi-structured questionnaire with open-ended questions on usability and feasibility was used to encourage participants to share their experiences and opinions on ease of use, user satisfaction, and integration into local health systems.Results: Among 46 participants, key challenges were reported in infant positioning, power stability, and internet connectivity. …”
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Analysis of casson nanofluid transport rates near a vertical stretching sheet with dissipation and slip effects by Tadesse Walelign

“…Practical applicationsAnalysis of Casson nanofluid transport rates near a vertical stretching sheet with dissipation and slip effects will provide relevant information for practitioners to make informed decisions in handling real flow systems. Hence, the present study will contribute in not only supplementing the theoretical gaps for the scientific community but also improving the working efficiency of practical flow systems in manufacturing industries and the quality of their products.PurposeThis study mainly focused on examining the rates of hydromagnetic transport phenomena of Casson nanofluid near a vertical surface in the presence of slip, dissipation, and cross-diffusion effects. …”
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Using machine learning to assist decision making in the assessment of mental health patients presenting to emergency departments by Oliver Higgins, Rhonda L. Wilson, Stephan K. Chalup

“…Further research is recommended to refine non-linear models within decision support systems, explore multi-source data integration, understand clinician attitudes towards ML, and develop real-time data collection systems. …”
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Adapting Ensemble‐Calibration Techniques to Probabilistic Solar‐Wind Forecasting by N. O. Edward‐Inatimi, M. J. Owens, L. Barnard, H. Turner, M. Marsh, S. Gonzi, M. Lang, P. Riley

“…Calibration improved forecast reliability, reducing the Brier score by 9% and forecast decisiveness increasing AUC ROC score by 2.5%. Improvements were subtle but systematic. Additionally, we explored statistical post‐processing to correct over‐confidence bias, improving forecast actionability. …”
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Barriers to informed consent in obstetric care during childbirth from practitioner’s perspective: a qualitative study by Guillaume Legendre, Lucile Abiola, Aurore Koechlin, Léo Coutellec

“…Objectives To explore healthcare professionals’ perspectives and practices regarding informed consent during childbirth, particularly in the context of increased public awareness and discourse surrounding obstetric violence (OV) in France.Design A qualitative study based on semistructured interviews and non-participant observations.Setting Four maternity units in France, representing a diversity of institutional contexts.Participants A purposive sample of 32 participants, including midwives and obstetricians, was recruited across the four sites.Methods Data were collected through 32 semistructured interviews and in situ observations in labour and delivery rooms. …”
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Teacher support in AI-assisted exams: an experimental study to inspect the effects on demotivation, anxiety management in exams, L2 learning experience, and academic success by Abdelkader Mohamed Elsayed, Azam Kholikov, Irodakhon Abdullayeva, Mohammed Al-Farouni, Mengesha Robso Wodajo

“…The two intact classes were randomly divided into an experimental and a control group. …”
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Evaluation of the predictors of tooth loss using artificial intelligence-based machine learning approach: A retrospective study by Amit Rajabhau Pawar, Sankari Malaiappan, Pradeep Kumar Yadalam, P R Ganesh

“…Materials and Methods: Data from 200 patients were collected, categorized by gender, age, and mobility grades, with 45 having diabetes, 36 with hypertension, and the remaining free of these systemic diseases. …”
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The Pore Structure and Fractal Characteristics of Upper Paleozoic Coal-Bearing Shale Reservoirs in the Yangquan Block, Qinshui Basin by Jinqing Zhang, Xianqing Li, Xueqing Zhang, Xiaoyan Zou, Yunfeng Yang, Shujuan Kang

“…In this study, 12 representative Upper Paleozoic coal-bearing shale samples from the Yangquan Block of the Qinshui Basin were systematically analyzed through field emission scanning electron microscopy (FE-SEM), high-pressure mercury intrusion, and gas adsorption experiments to characterize pore structures and calculate multi-scale fractal dimensions (<i>D</i>₁–<i>D</i>₅). …”
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Use of a sperm morphology assessment standardisation training tool improves the accuracy of novice sperm morphologists by Katherine Rose Seymour, Jessica P. Rickard, Kelsey R. Pool, Taylor Pini, Simon P. de Graaf

“…Significant differences in accuracy and variation were observed between the classification systems. …”
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Thlaspi arvense suppresses gut microbiota related TNF inflammatory pathway to alleviates ulcerative colitis by Wenkai Wang, Yiyang Zhao, Ziwei Wang, Chaowei Wang, Ling Bi, Yan Wang, Yan Wang

“…Protein-protein interaction (PPI) networks, Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were employed to explore TA’s mechanisms. Molecular docking and dynamics simulations validated interactions between TA’s active compounds and UC-related targets. …”
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Structuring climate service user groups for capacity building: A European Delphi-based approach by Maria del Pozo Garcia, Judith Gulikers, Bregje van der Bolt, Wouter Smolenaars, Estella Oncins, Perry den Brok, Fulco Ludwig

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A systematic review of deep learning methods for community detection in social networks by Mohamed El-Moussaoui, Mohamed Hanine, Ali Kartit, Monica Garcia Villar, Monica Garcia Villar, Monica Garcia Villar, Helena Garay, Helena Garay, Helena Garay, Isabel de la Torre Díez

“…IntroductionThe rapid expansion of generated data through social networks has introduced significant challenges, which underscores the need for advanced methods to analyze and interpret these complex systems. Deep learning has emerged as an effective approach, offering robust capabilities to process large datasets, and uncover intricate relationships and patterns.MethodsIn this systematic literature review, we explore research conducted over the past decade, focusing on the use of deep learning techniques for community detection in social networks. …”
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Comparative Analysis of Freeze-Dried <i>Pleurotus ostreatus</i> Mushroom Powders on Probiotic and Harmful Bacteria and Its Bioactive Compounds by Gréta Törős, Áron Béni, Ferenc Peles, Gabriella Gulyás, József Prokisch

“…However, further in vitro and in vivo studies should be performed to explore CNDs and their behavior in different biological systems.…”
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High expression of PLA2G2A in fibroblasts plays a crucial role in the early progression of carotid atherosclerosis by Xin Wang, Shen Li, Chen Liu, Jiawei Zhao, Gangfeng Ren, Feng Zhang, Xuyang Liu, Shuang Cao, Yuming Xu, Zongping Xia

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