A New Custom Deep Learning Model Coupled with a Flood Index for Multi-Step-Ahead Flood Forecasting by Jianming Shen, Moyuan Yang, Juan Zhang, Nan Chen, Binghua Li

“…Accurate and prompt flood forecasting is essential for effective decision making in flood control to help minimize or prevent flood damage. …”
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Exploration of the ubiquitination-related molecular classification and signature to predict the survival and immune microenvironment in colon cancer by Ji-Zhong Xu, Tian-Qi Wan, Jin-Song Su, Jun-Min Song

“…Validation included log-rank tests, receiver operating characteristic (ROC) analysis, decision curve analysis (DCA), and external dataset validation. …”
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Protocol for exploring pathways to equitable outcomes in post-stroke aphasia and dysphagia. by Charles Ellis, Marcello Perraillon, Richard Lindrooth, Molly Jacobs, Karen Hegland, Anouk Grubaugh, Candice Adams-Mitchell

“…<h4>Methods</h4>This study will utilize a 100% sample of Medicare fee-for-service claims data for persons hospitalized for stroke. …”
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Learning effectiveness in ERP systems training: a structural equation model of self-efficacy, passion, and resilience in higher education by Ran Wei, Dongyue Cao

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Development of a prediction model for chemotherapy and immunotherapy response in esophageal squamous cell carcinoma patients using machine learning algorithms by CHEN Jincheng, ZHANG Xiaoqin, LIU Jie

“…LIME algorithm indicated that this best model demonstrated reliability in predicting individual samples. Conclusion‍　‍The clinical-radiomics prediction model based on machine learning algorithm performs well, and can provide a reference for doctors' clinical decision-making by predicting the response to chemotherapy combined with immunotherapy in patients with esophageal squamous cell carcinoma. …”
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Debridement, Antibiotics, and Implant Retention (DAIR) vs 1.5-Stage Revision vs 2-Stage Revision in Periprosthetic Ankle Joint Infection: A Systematic Review by Antonio Izzo MD, Claudia Carbone MD, Enrico Festa MD, Giovanni Balato MD, PhD, Massimo Mariconda MD, François Lintz MD, PhD, Alessio Bernasconi MD, PhD

“…MINORS score was 8/16 for noncomparative studies and 14.6/24 for comparative ones (moderate quality). Conclusion: Decision-making in PJI after TAR is based on small-sample retrospective studies of moderate quality. …”
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Enhanced Gold Ore Classification: A Comparative Analysis of Machine Learning Techniques with Textural and Chemical Data by Fabrizzio Rodrigues Costa, Cleyton de Carvalho Carneiro, Carina Ulsen

“…The datasets were subjected to training, validation, and testing using the decision tree, random forest, Adaboost, XGBoost, and logistic regression methods. …”
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The attitudes of communicators toward cybersecurity concerning security, safety in national institutions by Husain A. Murad, Mohammad Qudah

“…The questionnaire was distributed to a sample of 140 communicators in Kuwaiti national institutions. …”
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Psychosocial Determinants of Living Kidney Donors: A Cross-Sectional Study by Alumran A, Aljanoubi EH, Bureqa AS, Alturki R, Alrayes SA, Alakrawi Z, Alshakhs F, Aljuwair M

“…Descriptive data analysis was conducted using chi-square tests and independent sample t-tests.Results: Of the 1523 potential donors, 997 proceeded with the donation. …”
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Gender differentials and distributional effect of climate-smart agriculture practices on farm production and welfare in Nigeria by A. K. Daudu, S. A. Aderinoye-Abdulwahab, A. A. Karakara, O. W. Kareem, E. Orkoh, H. O. Egbewole

“…We used a cross-sectional sex-disaggregated survey data collected from a random sample of 624 farm households, 138 male and 122 female of which are CSA practices adopters and the rest are non-adopters. …”
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Revisits, Readmission, and Mortality From Emergency Department Admissions for Older Adults With Vague Presentations: Longitudinal Observational Study by Sebastian Alejandro Alvarez Avendano, Amy Cochran, Valerie Odeh Couvertier, Brian Patterson, Manish Shah, Gabriel Zayas-Caban

“…The exposure under consideration was the ED disposition decision (admission to the hospital or discharge). …”
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Forecasting Stock Market Volatility Using Housing Market Indicators: A Reinforcement Learning-Based Feature Selection Approach by Pourya Zareeihemat, Samira Mohamadi, Jamal Valipour, Seyed Vahid Moravvej

“…This research not only enhances predictive accuracy but also aids in understanding complex market behaviors, thereby offering valuable tools for financial risk management and decision-making.…”
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Associations of women’s empowerment with neonatal, infant and under-5 mortality in low- and /middle-income countries: meta-analysis of individual participant data from 59 countries... by Zulfiqar A Bhutta, David T Doku, Subas Neupane

“…Infant and under-5 mortality rates were 43 and 55/1000 live births, respectively. In the pooled sample, 61.6% and 19.9% of women had autonomy regarding their healthcare and household decision-making, respectively, whereas 56.0% rejected domestic violence against women for any reason. …”
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Rapid Path Planning Algorithm for Percutaneous Rigid Needle Biopsy Based on Optical Illumination Principles by Jian Liu, Shuai Kang, Juan Ren, Dongxia Zhang, Bing Niu, Kai Xu

“…These findings suggest that our method provides a rapid, intuitive, and reliable decision-support tool, improving biopsy safety and efficiency.…”
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EDT-MCFEF: a multi-channel feature fusion model for emergency department triage of medical texts by Tao Lin, Shiming Yi

“…This approach holds promise for integration into clinical decision support systems for improved triage accuracy. …”
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Adherence to Dietary Recommendation and Its Associated Factors among People with Type 2 Diabetes: A Cross-Sectional Study in Nepal by Jijeebisha Baral, Khem Bahadur Karki, Pratibha Thapa, Ashish Timalsina, Rama Bhandari, Rabindra Bhandari, Bijaya Kharel, Nabin Adhikari

“…These factors should be considered by nutrition counselors and clinical decision-makers in patient counseling regarding dietary adherence.…”
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Artificial Intelligence With Neural Network Algorithms in Pediatric Astrocytoma Diagnosis: A Systematic Review by Floresya K. Farmawati, Della W.A. Nurwakhid, Tifani A. Pradhea, Rayyan Fitriasa, Hutami H. Arrahmi, Muhana F. Ilyas, Fadhilah T. Nur

“…These studies varied in design, location, and sample size, ranging from 10 to 135 subjects. The AI methods showed high sensitivity and specificity, often surpassing traditional radiological techniques. …”
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Measuring Digital Health Literacy in Older Adults: Development and Validation Study by SungMin Kim, Choonghee Park, Sunghyeon Park, Dai-Jin Kim, Ye-Seul Bae, Jae-Heon Kang, Ji-Won Chun

“…ResultsA digital health literacy scale consisting of 25 items was developed, comprising 4 subfactors: use of digital devices, understanding health information, use and decision regarding health information, and use intention. …”
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Tracked Physical Activity Levels Before and After a Change in Incentive Strategy Among UK Adults Using a Rewards App: Retrospective Quasi-Experimental Study by Hannah McCarthy, Henry W W Potts, Abigail Fisher

“…MethodsWeekly minutes of tracked physical activity were explored among a sample of 1666 participants. A Friedman test was used to determine differences in physical activity before and after the change in incentive strategies. …”
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Barriers and facilitators to use of digital health tools by healthcare practitioners and their patients, before and during the COVID-19 pandemic: a multimethods study by Barbora Silarova, Charlotte Dack, Ben Ainsworth, Sabrina Grant, Gemma Lasseter, Sophie Louise Turnbull, Jiedi Lei, Irem Aksu

“…Objectives To explore how healthcare practitioners (HCPs) made decisions about the implementation of digital health technologies (DHTs) in their clinical practice before and during the COVID-19 pandemic.Design A multimethods study, comprising semistructured interviews conducted prior to the COVID-19 pandemic, supplemented with an online survey that was conducted during the pandemic with a different sample, to ensure the qualitative findings remained relevant within the rapidly changing healthcare context. …”
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