Opportunities and Challenges of Cardiovascular Disease Risk Prediction for Primary Prevention Using Machine Learning and Electronic Health Records: A Systematic Review by Tianyi Liu, Andrew J. Krentz, Zhiqiang Huo, Vasa Ćurčin

“…Recent advancements in machine learning (ML) have demonstrated substantial potential in augmenting risk stratification for primary prevention, surpassing conventional statistical models in predictive performance. …”
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The Use of Autologous Bone Graft vs Allograft Viable Cell Matrix in Forefoot, Midfoot, and Hindfoot Fusion by John O'Keefe MD, Sarah Hall BA, Chase Gauthier MD, Christopher Toussaint MD, Edward Haupt MD, J. Benjamin Jackson MD, MBA, Tyler Gonzalez MD, MBA

“…Categorical and continuous data were compared using Chi-squared test and analysis of variance (ANOVA), respectively. …”
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Impact of a Structured Social Skills Training Program on Adolescents and Young Adults with Level 1 Autism by Leonardo Zoccante, Sara Sabaini, Erika Rigotti, Sophia Marlene Bonatti, Camilla Lintas, Marco Zaffanello

“…Statistical methods included automatic clustering to identify optimal clusters and Pearson’s Chi-square and Fisher’s exact tests to evaluate variable distributions among the clusters. …”
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Linear Model and Gradient Feature Elimination Algorithm Based on Seasonal Decomposition for Time Series Forecasting by Sheng-Tzong Cheng, Ya-Jin Lyu, Yi-Hong Lin

“…An augmented feature generator is introduced to enhance predictive performance by generating features such as differences, rolling statistics, and moving averages. …”
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Determination of Quality Characteristics of Advanced Chickpea Genotypes by Ömer SÖZEN, Gözde Nur PEKER

“…The study, which was carried out for two years, was established in an augmented trial design with 4 replications. During the research, water uptake capacity (g seed-1), water uptake index (%), swelling capacity (ml seed-1), swelling index (%), coat ratio (%), and protein ratio (%) data of 6 quality characteristics of chickpea genotypes were revealed. …”
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Clinical features and survival analysis of adult patients with severe lower respiratory tract infection positive for respiratory syncytial virus by Jiahua Tian, Ling Zhang, Xunling Wang, Guichuan Huang, Zhu Li, Ling Gong, Daishun Liu

“…The sputum specimens were collected for RSV testing, and the clinical data were collected and analyzed statistically. Results The findings revealed that patients in the RSV-positive group were older, had a higher prevalence of underlying diseases, were more likely to require noninvasive mechanical ventilation, and had prolonged hospital stays compared with those in the RSV-negative group. …”
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Deep‐learning approaches to identify critically Ill patients at emergency department triage using limited information by Joshua W. Joseph, Evan L. Leventhal, Anne V. Grossestreuer, Matthew L. Wong, Loren J. Joseph, Larry A. Nathanson, Michael W. Donnino, Noémie Elhadad, Leon D. Sanchez

“…All successive increases in AUC were statistically significant. Conclusion Deep‐learning techniques represent a promising method of augmenting triage, even with limited information. …”
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Brainstem auditory evoked responses: Objective hearing threshold assessment in Holstein cows by Alida Naudé, Lize-Mari Erasmus, Liesl de Swardt, Juan Bornman, Este van Marlé-Köster

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Short-term BCI intervention enhances functional brain connectivity associated with motor performance in chronic stroke by Khosrov A. Grigoryan, Karsten Mueller, Matthias Wagner, Diaa Masri, Kerrin J. Pine, Arno Villringer, Bernhard Sehm

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Neural network approach for thermal analysis of magnetized radiative micropolar hybrid nanofluid flow on a variable porous stretching sheet with Cattaneo-Christov flux model by Ebrahem A. Algehyne, Mashael A. Aljohani, Khadijah M. Abualnaja, Wafa F. Alfwzan, Arshad Khan, Emad E. Mahmoud

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Evaluation of the Digital Support Tool Gro Health W8Buddy as Part of Tier 3 Weight Management Service: Observational Study by Petra Hanson, Farah Abdelhameed, Mohammed Sahir, Nick Parsons, Arjun Panesar, Michaela de la Fosse, Charlotte Summers, Amit Kaura, Harpal Randeva, Vinod Menon, Thomas M Barber

“…Future studies must provide long-term data to understand if the benefits from the digital tool are sustained.…”
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Protocol for a hybrid effectiveness-implementation clinical trial evaluating video-assisted electronic consent vs standard consent for patients initiating and continuing haemodialy... by Helen Healy, Ann Bonner, Rebecca B Saunderson, Martin Wolley, Chenlei Kelly Li, Pedro Henrique Franca Gois, Marina Wainstein, Matthew J Damasiewicz, Vera Y Miao, Kirsten Hepburn, Clyson Mutatiri, Bobby Chacko

“…Analysis: For the randomised controlled trial, data will be analysed using intention-to-treat statistical methods. …”
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Using Fuzzy Multi-Criteria Decision-Making as a Human-Centered AI Approach to Adopting New Technologies in Maritime Education in Greece by Stefanos I. Karnavas, Ilias Peteinatos, Athanasios Kyriazis, Stavroula G. Barbounaki

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R&D Intensity, Complementary Assets and Firm Value: Time Series Evidence from Turkey by Kartal Demirgüneş, Yüksel İltaş

“…Finally, the long-run coefficients estimated by Stock and Watson (1993)’s method of DOLS indicate that R&D intensity variable relative to net sales has statistically significant and positive effect on firm value, which then turns negative following the break date. …”
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The influence of patient self-efficacy on value co-creation behavior and outcomes in chronic disease management: a cross-sectional study by Jiamin Tang, Jie Jia, Yuan Gao, Weixiao Yu, ZhengNan Meng, Hailong Zhu, Xianhong Huang

“…This study investigated the impact of chronic disease patients’ self-efficacy and value co-creation behaviors on the outcomes of value co-creation. Methods Relevant data were acquired through a questionnaire survey using statistical methods, such as the t-test, analysis of variance, and stratified linear regression. …”
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Optimising AVATAR therapy for people who hear distressing voices: study protocol for the AVATAR2 multi-centre randomised controlled trial by Philippa Garety, Clementine J. Edwards, Thomas Ward, Richard Emsley, Mark Huckvale, Paul McCrone, Mar Rus-Calafell, Miriam Fornells-Ambrojo, Andrew Gumley, Gillian Haddock, Sandra Bucci, Hamish McLeod, Amy Hardy, Emmanuelle Peters, Inez Myin-Germeys, Thomas Craig

“…The primary outcome is the PSYRATS Auditory Hallucinations Distress dimension score at 16 and 28 weeks, conducted by blinded assessors. Statistical analysis will follow the intention-to-treat principle and data will be analysed using linear mixed models. …”
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How effective are transport energy consumption, trade openness, and financial development in achieving the sustainable development goals (SDGs)? What are the realities and myths fo... by Salwa Bajja, Ali Celik, Michael Provide Fumey

“…The findings, by using the Augmented Mean Group (AMG) method, show that the relationship between openness to trade and CO2 emissions differs significantly between countries. …”
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Association of crop commercialization and rural households' multidimensional poverty using targeted maximum likelihood estimation by Anteneh Mulugeta Eyasu, Temesgen Zewotir, Zelalem G. Dessie

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Effects of protein supplementation during pilates training on body composition, core muscle endurance, and joint flexibility in trained women: a randomized controlled trial by Christina Karpouzi, Antigoni Kypraiou, Vassilis Mougios, Anatoli Petridou

“…However, whether protein supplementation augments the adaptations to Pilates training remains unknown. …”
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Impact of Urban Waterfront Green Space Landscape Elements on Public Health Behaviors Based on Restorative Perception by Yi WU, Hongfei QIU, Xinyue LUO, Yaping HU

“…Behavioral observations are also employed to document specific instances of public engagement in restorative, physical, and social activities within these sites. Ultimately, data analysis methods, including multiple regression analysis and mediation effect analysis, are applied to explore the interrelationships among landscape elements, restorative perceptions, and health behaviors.ResultsResearch findings are summarized as follows. 1) Natural landscapes significantly enhance the public’s restorative perception, while a high proportion of artificial elements has the opposite effect. …”
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