Insights Into the Future: Assessing Medical Students' Artificial Intelligence Readiness ‐ A Cross‐Sectional Study at Kerman University of Medical Sciences (2022) by Hossein Rezazadeh, Ali Madadi Mahani, Mahla Salajegheh

“…The MAIRS‐MS assessed four domains, including cognition (8 items), ability (7 items), vision (2 items), and ethics (3 items), using a 5‐point Likert scale. Data analysis was conducted by descriptive statistics and independent sample t‐tests in SPSS v24.0, considering p < 0.05 significant. …”
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A reliable tool for assessment of acceptance of e-consultation service in hospitals: the modified e-consultation Technology Acceptance Model (TAM) questionnaire by Rasha Ashmawy, Sally Zeina, Ehab Kamal, Khaled Shelbaya, Nermeen Gawish, Sandy Sharaf, Elrashdy M. Redwan, Azza Mehanna

“…The tool used for assessing their acceptance of the service consists of three sections: demographic data, items assessing perceived usefulness (PU) and perceived ease of use (PEU) of e-consultation, and questions addressing physicians’ satisfaction, challenges, and suggestions to improve e-consultation services. …”
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Association between body roundness index and metabolic syndrome in middle-aged and older adults: a prospective cohort study in China by Haiwei Li, Jing Zhang, Huifang Wang, Liang Luo

“…Its predictive utility for MetS and clinical applicability remain poorly understood. This study aimed to investigate the association between BRI and the risk of MetS in middle-aged and older adults in China, using both cross-sectional and prospective cohort analyses. …”
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Community‐Driven Health Promotion: Evaluation of a Rural Microgrant Program by Michele Conlin, Dorothy McLaren, Evelien Spelten, Sean MacDermott

“…Results Since the program's inception in 2019, the health service has received 22 grant applications of which 15 were approved and 14 disbursed. …”
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Association between magnesium depletion score and all-cause and cause-specific mortality in patients with diabetic kidney disease by Lingzhi Xing, Yubowen Gong, GuoJia Liao, Liying Wang, Ling Chen

“…This study aimed to determine the associations between MDS and long-term mortality in DKD population. Methods Data were obtained from the National Health and Nutrition Examination Survey (NHANES III). …”
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Helicobacter pylori resistance to antibiotics before and after treatment: Incidence of eradication failure. by Oddmund Nestegard, Behrouz Moayeri, Fred-Arne Halvorsen, Tor Tønnesen, Sveinung Wergeland Sørbye, Eyvind Paulssen, Kay-Martin Johnsen, Rasmus Goll, Jon Ragnar Florholmen, Kjetil K Melby

“…<h4>Aim</h4>To characterize the antimicrobial resistance pattern of H. pylori before and after treatment in a cohort of patients accumulated over a period of 15 years after an unsuccessful eradication treatment had been given comparing sensitivity data from patients with newly diagnosed H. pylori infection. …”
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RCSAN residual enhanced channel spatial attention network for stock price forecasting by WenJie Sun, Ziyang Liu, ChunHong Yuan, Xiang Zhou, YuTing Pei, Cui Wei

“…The R-CSAN adopts an encoder-decoder architecture, where the encoder extracts feature correlations from historical data through multiple layers of channel-spatial attention modules, and the decoder incorporates a masking mechanism to prevent future information leakage and introduces a cross-attention mechanism to model inter-market correlations. …”
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Type-2 Neutrosophic Markov Chain Model for Subject-Independent Sign Language Recognition: A New Uncertainty–Aware Soft Sensor Paradigm by Muslem Al-Saidi, Áron Ballagi, Oday Ali Hassen, Saad M. Saad

“…High computational complexity, data dependency, scalability issues, sensor and environmental limitations, and real-time constraints all pose significant hurdles. …”
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Psychological capital as a moderator between personality traits and flourishing in the sample of Lithuanian employees by Aiste Dirzyte, Kornelija Dovydaitytė, Aleksandras Patapas, Zilvinas Zidonis

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The Challenges of AI in Administrative Law and the Need for Specific Legal Remedies: Analysis of Polish Regulations and Practice by Jowanka Jakubek-Lalik

“…However, automated decision-making (ADM) and AI-supported decision-making create new dilemmas, especially in relation to accountability, data protection, and general principles of administrative law. …”
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Analyzing agricultural drought using remote sensing indices in the east bale zone, southeastern Ethiopian lowlands by Moti Deresu, Habitamu Taddese, Bayisa Negasa Wolteji, Gebiaw Ayele

“…The practical applications of satellite data in comprehending the changing environment must take in account quantitative awareness of the uncertainty across different satellite products. …”
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Thermal and velocity slip impacts on MHD tetra-hybrid nanofluids flow over a porous stretching surface by Prasun Choudhary, K. Loganathan, Kavita Jat, Krishna Prakash Arunachalam, S. Eswaramoorthi

“…These nanofluids are useful for thermal applications in engineering, biomedical material science and the energy sector. …”
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Feasibility, acceptability, and effectiveness of group antenatal care on the continuum of care and perinatal outcomes in Sub-Saharan Africa: A systematic review and meta-analysis p... by Meresa Berwo Mengesha, Tesfaye Temesgen Chekole, Hiluf Ebuy Abraha, Etsay Weldekidan Tsegay, Abadi Hailay Atsbaha, Mihretab Gebreslassie, Zenawi Hagos Gufue

“…<h4>Ethics and dissemination</h4>Ethical approval is not applicable as no original data will be collected. The findings of this review will be disseminated through publication and conference presentations.…”
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EXercise to Prevent frailty and Loss Of independence in insulin treated older people with DiabetEs (EXPLODE): protocol for a feasibility randomised controlled trial (RCT) by James Shaw, Miles D Witham, Guy S Taylor, Daniel J West, Rachel Stocker

“…Outputs will include feasibility data to support funding applications for a future definitive trial, conference and patient and public involvement presentations, and peer-reviewed publications.Trial registration number ISRCTN13193281.…”
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A Survey of Effective Parameters in Biomass Separation Using Vacuum Membrane Filtering: A Case Study of Pectin Acidic Solution by Shoaib Gholami, Saeid Minaei, Alireza Mahdavian, Pourya Bazyar

“…The independent variables were examined at three levels, and the data were analyzed. The optimum value for each variable was determined using the response surface method (RSM). …”
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Understanding customer loyalty in mobile wallet apps: A post-pandemic analysis with customer involvement as moderator by Hafiz Abdul Samee Malik, Nik Ab Halim Nik Abdullah, A Fakhrorazi

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Sistema de Información como Plataforma para la Gestión por Procesos by Juan J. Oliveira Maurera, Gabriela A. Lozada F.

“…The type of research of this study was designed, mixed-source (documentary and field), the sample was represented by department personnel and units applicants. With respect to data collection techniques were used document review, direct observation and unstructured interviews. …”
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Analysis of influencing factors and construction of predictive model for major gastrointestinal bleeding after receiving VTE prophylactic anticoagulants in non-tumor patients by Xiaoxue Fu, Huiya Ren, Yingbo Yang, Zhixue Niu, Linjie Zhang

“…Decision curve analysis (DCA) was also used to assess the clinical applicability of the model.ResultsIn total, 1,206 eligible patients (1,060 non-MGB vs. 146 MGB) were included. …”
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Transformer-Based Sunflower (<em>Helianthus annuus</em> L.) Recognition from Multi-Temporal UAV Orthomosaics by E. Yildirim, I. Colkesen, U. G. Sefercik

“…Unmanned aerial vehicles (UAVs) have become essential in agricultural product detection due to their high spatial and temporal resolution data collection ability. With the rapid enhancements in deep learning, transformer architectures have emerged as a revolutionary paradigm, showing remarkable success in precision agriculture applications, including crop recognition and mapping. …”
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An Ensemble Patient Graph Framework for Predictive Modelling from Electronic Health Records and Medical Notes by S. Daphne, V. Mary Anita Rajam, P. Hemanth, Sundarrajan Dinesh

“…<b>Objective:</b> Electronic health records (EHRs) are becoming increasingly important in both academic research and business applications. Recent studies indicate that predictive tasks, such as heart failure detection, perform better when the geometric structure of EHR data, including the relationships between diagnoses and treatments, is considered. …”
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