Structural and social determinants of health: The multi-ethnic study of atherosclerosis. by Lilah M Besser, Sarah N Forrester, Milla Arabadjian, Michael P Bancks, Margaret Culkin, Kathleen M Hayden, Elaine T Le, Isabelle Pierre-Louis, Jana A Hirsch

“…Forty-seven (11%) of the papers combined MESA with other cohorts for cross-cohort comparisons and replication/validation (e.g., validating algorithms).<h4>Conclusions</h4>Overall, MESA has made significant contributions to the field and the published literature, with 20% of its published papers focused on SSDOH. …”
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Use machine learning to predict treatment outcome of early childhood caries by Yafei Wu, Maoni Jia, Ya Fang, Duangporn Duangthip, Chun Hung Chu, Sherry Shiqian Gao

“…Abstract Background Early childhood caries (ECC) is a major oral health problem among preschool children that can significantly influence children’s quality of life. Machine learning can accurately predict the treatment outcome but its use in ECC management is limited. …”
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Fuzzy Clustering Based on Activity Sequence and Cycle Time in Process Mining by Onur Dogan, Hunaıda Avvad

“…An experimental evaluation using real-life event logs demonstrates the effectiveness of the method in discerning process variants. …”
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Words high-frequency drying processes simulation of wooden tangent towers in a vacuum chamber by A. N. Kachanov, D. A. Korenkov, A. A. Revkov, V. V. Maksimov, O. V. Vorkunov

“…THE PURPOSE. The service life duration of wooden tangent towers used on overhead transmission lines with a voltage of up to 35 kV depends on the quality of lumber drying and subsequent impregnation. …”
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A Portable Real-Time Electronic Nose for Evaluating Seafood Freshness Using Machine Learning by Muhammad Rafi Mahfuz Setyagraha, Hurul Aini Nurqamaradillah, Laksamana Mikhail Hermawan, Nyoman Raflly Pratama, Ledya Novamizanti, Dedy Rahman Wijaya

“…This study presents an electronic nose (e-nose) system designed to assess seafood freshness using gas sensors and machine learning (ML) algorithms. The system detects volatile organic compounds (VOCs) released during spoilage and employs hyperparameter-optimized ML models for both classification (fresh vs. not fresh) and regression (shelf-life prediction). …”
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Navigating Ethical Dilemmas Of Generative AI In Medical Writing by Qurrat Ulain Hamdan, Waleed Umar, Mahnoor Hasan

“…The widespread and mainstream use of some of these tools, namely ChatGPT, Google Gemini, and Perplexity AI, has revolutionised almost all walks of life, from industry to academia.2 The scope of this article will be limited to the implications of generative AI in academic research writing, particularly in the field of medicine. …”
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Dispatch Decisions and Emergency Medical Services Response in the Prehospital Care of Status Epilepticus by Robert P. McInnis, Andrew J. Wood, Courtney L. Shay, Anna A. Haggart, Remle P. Crowe, Elan L. Guterman

“…However, it is unclear whether dispatch algorithms accurately identify those patients having a seizure-related medical emergency and how dispatch algorithms influence what prehospital resources are allocated for the encounter. …”
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Detection and Pattern Recognition of Chemical Warfare Agents by MOS-Based MEMS Gas Sensor Array by Mengxue Xu, Xiaochun Hu, Hongpeng Zhang, Ting Miao, Lan Ma, Jing Liang, Yuefeng Zhu, Haiyan Zhu, Zhenxing Cheng, Xuhui Sun

“…Finally, principal component analysis (PCA) and machine learning algorithms were applied for CWA classification. The obtained PCA plots showed significant differences between groups, and the narrow neural network among the machine learning algorithms achieves a prediction accuracy of nearly 100.0%. …”
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Routine testing for group B streptococcus in pregnancy: protocol for a UK cluster randomised trial (GBS3) by Shalini Ojha, Jon Dorling, Stavros Petrou, Soo Downe, Rabia Zill-E-Huma, Sarah Lee, Jane Daniels, Paul Ayuk, Trudy Smith, Lucy Bradshaw, Tracey Cooper, Janine Abramson, Hannah Mitchell, Joanna Gibson, Sarah Watson, Heather Ward, Kate Walker, Jim Thornton, Reuben Ogollah, Jason Madan, Jenny Butler, Louise Page, Guduru Gopal Rao, Susan Ayers, Felix Achana, Asma Khalil, Eleanor J Mitchell, Rachel Plachcinski, Laura Johnson, Anna Williams, Hannah Parker, Rebecca Haydock, Julie Walker, Jonathan Ford, Elena Greco, Janet Phipps, Kim Hinshaw, Hilary Owen, Alex Taylor, Jane Plumb, James Gray, Joanna Clark, Kate Young, Anna Campbell, Erum Khan, Manjula Samyraju, Harry Gibson, Linda Johnson, Jessica Wilson, Sarah Moore, David Ankers, Michelle Anderson, Laura Veal, Ramesh Ganapathy, Ferha Saeed, Philip Banfield, Shabina Sadiq, Helen Preston, Lisa Ditchfield, Anne-Marie Jones, Emily Marler, Phillip Bennett, Janet Cresswell, Stephy Mathen, Anam Fayadh, Louise Swaminathan, Emily Scriven, Sangeeta Pathak, Hazel Alexander, Jodi Carpenter, Sharon Gowans, Lesley Hewitt, Emma Meadows, Tommy Mousa, Lisa Evans, Laura Johns, Catherine Stone, Charlotte Goumalatsou, Maggie Lai, Lola Oshodi, Georgie Constantinou, Nicola Grace, Eleanor Harrison, Joanne Brooks, Kerry Barker-Williams, Heidi Hollands, Sarah-Kate Mcleavey, Seren Willson, Sophie Webster, Meg Hyslop-Peart, Louise Wills, Rachel Haines, Linda Fiaschi, Jay Seale, Susanne Spas, Lixiao Huang, Sebastian Moody, Ihab Abbasi, Rezan Abdul-Kadir, Phern Adams, Rebecca Adcock, Dipika Aggarwal, Dawn Althorn, Sarah-Jayne Ambler, Rita Arya, Karen Austin Smith, Angela Ayuk, Jade Barnes, Abbie Berry, Linda Bishop, Patrick Bose, Nichola Brannen, Catherine Bressington, Janet Brown, Lorraine Bullett, Anneka Burch, Jennifer Burrage, Viv Cannons, Philippa Cansell, Cristina CarballoDe Dios, Gail Castle, Yee Yin Chan, Floria Cheng, Naomi Coleman, Rachael Copley, Yvette Davis, Bashir Dawlaty, Kara Dent, Caroline Dixon, Kerry Dooley, Milli Edwards, Sue Fagg, Jo Ficquet, Nicola Flint, Natasha Ford, Lily French, Edward Frew, Rachel Frowd, Ruta Gada, Emma Gammin, Caitlin Giles, Mandy Gill, Coralie Glenn-Sansum, Julie Goddard, Jenna Gould, Naomi Grimes, Zoe Grindley, Katherina Gross-Gibbs, Liliana Grosu, Lara Robles Gutierrez, Bev Hammond, Latifah Harris, Kathryn Haviland, Holly Hawkesford, Carly Hayton, Miss Mandira Hazra, Anne Marie Henshaw, Jemima Hepburne-Scott, Stephanie Horridge, Victoria Hodgson, Rhiannon Hurll, Alison Hylton-Potts, Karen Ixer, Sara Jaarour, Andie Johnson, Prudence Jones, Kelly Jukes, Sumit Kar, Pallavi Karkhanis, Tracey Kay, Stephen Keay, Alex Keen, Joanne Kellett, Mary Kelly- Baxter, Teresa Kelly, Vanessa Kemp, Magdalena Kierzenkowska, Aly Kimber, Eva Kisakye, Sarah Knights, Wiece Koniman, Emmanouil Kountouris, Egi Krasniqi, Katie Lang, Rebecca Leon, Isabel Llopis, Leanne Lowe, Saswati Maitra, Jodie Manning, Sarah Mapplebeck, Cathryn Marsh, Ruth Mason, Ilenia Mazzoli, Joanna Mead, Michal Rosie Meroz, Hannah Mugford, Hannah Mullins, Eric Mutema, Bonilla Nayar, Jonathan Nelson, Rachel Newport, Shari Noraiee, Justine Nugent, Nzoputa Nwabueze, Chinwe Obiozo-Jumbo, Clare O’Brien-Hirst, Anne-Marie O’Brien, Tanwa Ogbara, Chloe O’Hara, Oyinlola Okungade, Chidera Onyeagor, Sam Parlapalli, Leia Parry, Nikky Passmore, Tara Pauley, Linda Peacock, Carol Percy, Ella Proctor, Emma Pugh, Madhavi Pureti, Eleanor Pyart, Vinita Raheja, Clair Rainford, Miss Jyothi Rajeswary, Lindsay Roughley, Ruth Ryder, Maiti Sachchidananda, Beena Saji, Jess Sellick, Ellie Didier Serre, Erikka Siddall, Jonathan Slack, Delphine Strub, Emma Tanton, Vasso Terzidou, Niki Thatcher, Catherine Townsend, Lydia Ufton, Lilian Ugwumadu, Ureh Umeh-John, Husswan Yasmin WanHussein, Annie Warrington, Sharon Westcar, Hayley Wheeler, Sonia White, Miss Frances Wood, Julie Woollaston, Janet Wright, Priti Wuppalapati, Cheryl Wyatt, Jemma Yorke

“…Cost-effectiveness will be expressed in terms of incremental cost per case of early neonatal sepsis avoided and incremental cost per quality-adjusted life-year associated with each strategy.Ethics and dissemination The trial received a favourable opinion from Derby Research Ethics Committee on 16 September 2019 (19/EM/0253). …”
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Investigation of aromatic compounds and olfactory profiles in cocoa pulp fermentation using yeast-based starters: A Volatilomics and machine learning approach by Haode Chang, Chunhe Gu, Quanmiao Zhang, Wenjing Zhang, Liru Ma, Fei Liu, Zhen Feng

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Smart photonic wristband for pulse wave monitoring by Renfei Kuang, Zhuo Wang, Lin Ma, Heng Wang, Qingming Chen, Arnaldo Leal Junior, Santosh Kumar, Xiaoli Li, Carlos Marques, Rui Min

“…Real-time acquisition of human pulse signals in daily life is clinically important for cardiovascular disease monitoring and diagnosis. …”
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Architecture and Field Operation of a Portable Digital Holographic Microscope for In Situ Measurements of Bacterial Motility by J. Kent Wallace, Manuel Bedrossian, Stephanie Rider, Dylan McKeithen, Felipe Fregoso, Frank Loya, Scott M. Perl

“…Future developments of this platform will focus on refining data reduction algorithms and operational methodologies for Earth-based and space-based applications.…”
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Explainable Siamese Neural Networks for Detection of High Fall Risk Older Adults in the Community Based on Gait Analysis by Christos Kokkotis, Kyriakos Apostolidis, Dimitrios Menychtas, Ioannis Kansizoglou, Evangeli Karampina, Maria Karageorgopoulou, Athanasios Gkrekidis, Serafeim Moustakidis, Evangelos Karakasis, Erasmia Giannakou, Maria Michalopoulou, Georgios Ch Sirakoulis, Nikolaos Aggelousis

“…Background/Objectives: Falls among the older adult population represent a significant public health concern, often leading to diminished quality of life and serious injuries that escalate healthcare costs, and they may even prove fatal. …”
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Prediction of bladder cancer prognosis and immune microenvironment assessment using machine learning and deep learning models by Weihao Nie, Yiheng Jiang, Luhan Yao, Xinqing Zhu, Abdullah Y. AL-Danakh, Wenlong Liu, Qiwei Chen, Deyong Yang

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Improving Distribution Prediction by Integrating Expert Range Maps and Opportunistic Occurrences: Evidence From Japanese Sea Cucumber by Bingqing Xiao, Songxi Yuan, Ákos Bede‐Fazekas, Jinxin Zhou, Xingyu Song, Qiang Lin, Lei Cui, Zhixin Zhang

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Battery Energy Storage Systems in Microgrids: A Review of SoC Balancing and Perspectives by Thales Augusto Fagundes, Guilherme Henrique Favaro Fuzato, Lucas Jonys Ribeiro Silva, Augusto Matheus dos Santos Alonso, Juan C. Vasquez, Josep M. Guerrero, Ricardo Quadros Machado

“…In addition, this article explores optimization processes aimed at reducing operational costs while considering SoC equalization. Finally, second-life BESS units are explored as an emerging topic, focusing on their operation within specific power converters topologies to achieve SoC balance.…”
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Smart Safety Helmets with Integrated Vision Systems for Industrial Infrastructure Inspection: A Comprehensive Review of VSLAM-Enabled Technologies by Emmanuel A. Merchán-Cruz, Samuel Moveh, Oleksandr Pasha, Reinis Tocelovskis, Alexander Grakovski, Alexander Krainyukov, Nikita Ostrovenecs, Ivans Gercevs, Vladimirs Petrovs

“…We examine core VSLAM algorithms (feature-based, direct, hybrid, and deep-learning-enhanced) and discuss their adaptation to wearable platforms. …”
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Cardiovascular risk prediction models in people living with human immunodeficiency virus under antiretroviral therapy in northern mexico by Arguiñe I. Urraza-Robledo, Francisco C. López-Márquez, Faviel F. González-Galarza, Domingo Pere-Pedrol, María E. Gutiérrez-Pérez, Ana P. Roiz-Bollain y Goytia, Pablo Ruiz-Flores, Fanny K. Segura-López, Alberto A. Miranda-Pérez

“…Background: The effective use of combination antiretroviral therapy (ART) has significantly improved the life expectancy of people living with the human immunodeficiency virus (HIV). …”
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Different artificial neural networks for predicting burnout risk in Italian anesthesiologists by Marco Cascella, Alessandro Simonini, Sergio Coluccia, Elena Giovanna Bignami, Gilberto Fiore, Emiliano Petrucci, Alessandro Vergallo, Giacomo Sollecchia, Franco Marinangeli, Roberto Pedone, Alessandro Vittori

“…Results The best neural architecture achieved a predictive accuracy of 0.68, with key contributors to BO including workload, emotional exhaustion, job dissatisfaction, and lack of work-life balance. Despite substantial differences among the six implemented algorithms, no significant variation in prediction performance was observed. …”
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A risk prediction system for depression in middle-aged and older adults grounded in machine learning and visualization technology: a cohort study by Jinsong Du, Jinsong Du, Jinsong Du, Xinru Tao, Le Zhu, Wenhao Qi, Xiaoqiang Min, Xiaoqiang Min, Hongyan Deng, Shujie Wei, Xiaoyan Zhang, Xiao Chang

“…By enabling early depression detection and evidence-based interventions for middle-aged and older adult populations, it establishes a novel health management paradigm with demonstrated potential to improve quality of life.…”
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