Machine Learning-Based Prediction of Fatigue Fracture Locations in 7075-T651 Aluminum Alloy Friction Stir Welded Joints by Guangming Mi, Guoqin Sun, Shuai Yang, Xiaodong Liu, Shujun Chen, Wei Kang

“…In this study, we investigate fatigue fracture location prediction in 7075-T651 aluminum alloy FSW joints by applying four machine learning methods—decision tree, logistic regression, a three-layer back-propagation artificial neural network (BP ANN), and a novel Quadratic Classification Neural Network (QCNN)—using maximum stress, stress amplitude, and stress ratio as input features. …”
Get full text

Overpressure Evolution Simulation and Fracture Hydrocarbon Expulsion Prediction of Source Rocks in Bodong Sag, Bohai Bay Basin, China by Haifeng Yang, Lei Chen, Yanfei Gao, Tao Jiang, Changyu Fan

“…The prediction of hydrocarbon expulsion by overpressure rupture (HEOR) is still a difficult problem in the study of primary oil and gas migration. …”
Get full text

Design of an Optimized Feature Driven Severity Stage Classifier for Parkinson’s Disease Prediction Using Deep Learning by K. Shyamala, T. M. Navamani

“…We proposed a Parkinson’s Speech Stage-Net model (PSS-Net) for the prediction of the severity of PD that includes Isolation Forest-based outlier detection and removal, KMeansSMOTE data balancing, and Optimized Dimensionality Reduction techniques. …”
Get full text

A Questionnaire Dataset on Perceived Stress in Indian Higher Education Students during Emergency Remote Learning [version 1; peer review: 2 approved] by Shweta Rai, Rayan Charls Mathias, Sharisha Shanbhog M, Jeevan Medikonda

Get full text

The Role of Managerial Support in Influencing the Attitudes of Highly Educated Millennials in Serbia by Dimitrije Gašić, Vladimir Dženopoljac, Mladen Čudanov, József Poór, Nemanja Berber

“…This study explores the influence of managerial support on the attitudes of highly educated (BSc, MSc, and PhD) millennials in Serbia, focusing on job satisfaction, turnover intention, and job stress. …”

Academic Burnout and Parent–Child Discrepancies in Educational Expectations Among Chinese Adolescents: A Moderated Mediation Model by Xuening Fan, Anna Na Na Hui

Subjects: “…academic stress…”
Get full text

deepTFBS: Improving within‐ and Cross‐Species Prediction of Transcription Factor Binding Using Deep Multi‐Task and Transfer Learning by Jingjing Zhai, Yuzhou Zhang, Chujun Zhang, Xiaotong Yin, Minggui Song, Chenglong Tang, Pengjun Ding, Zenglin Li, Chuang Ma

Get full text

Accuracy of the Pediatric Emotional Distress Scale – Early Screener to predict the risk for developing PTSD in young children after accidental injury by Irma Hein, Maj Gigengack, Cedric Sachser, Ramón Lindauer

“…Background: Early identification of posttraumatic stress disorder (PTSD) in children is important to prevent chronic symptoms and long-term negative consequences. …”
Get full text

Prediction of mechanical properties of steel fibre-reinforced concrete under elevated temperature using artificial neural network techniques (ann) by G. Premkumar, S. Senthil Selvan

“…While existing literature mainly emphasizes the prediction of compressive strength, limited efforts have been made to predict other key mechanical properties under thermal stress. …”
Get full text

Global, regional, and national trends in the epidemiology of aortic aneurysms among women of childbearing age, 1990–2021, with predictions through 2036 by Wei Wang, Yong Shi, Xinyao Li, Tianxiang Gu, Enyi Shi

“…An age-period-cohort model assessed trends, period, and cohort effects, while the Bayesian age-period-cohort model predicted the disease burden through 2036. Results In 2021, AA was associated with 2,552 (95% UI: 2,273 to 2,827) mortality and 86,466 (95% UI: 72,510 to 115,049) DALYs counts worldwide among women of childbearing age. …”
Get full text

Prediction of joint deformity after MIPPO with double reverse traction repositor based on Hounsfield units derived from CT scans by Guimiao Li, Kejia Shang, Shengnan Zhang, Zhongzheng Wang, Yanjiang Yang, Chunxu Fu, Chen Feng, Di Zhang, Yingze Zhang

Get full text

Association between educational attainment and mental health conditions among Africans working and studying in selected African countries by Tshubelela Sello Simon Magakwe, Eme Eseme John, Edith Daniel-Nwosu, Osamudiamen McHillary Ogiemudia, Oforbuike Onyebuchi Ike, Grace Obumneke Ogbonna, Isaura Ilorena d’Alva Brito dos Santos, Nalova Westbrook, Okechi Ulumma Amaechi, Ugochukwu E. Uzuegbu, Michael Agyemang Kwarteng, Nnamdi John Eseme, Mutshidzi Mulondo, Khathutshelo Percy Mashige, Bernadine Nsa Ekpenyong, Ngozika Esther Ezinne, Nnaemeka Meribe, Kingsley E. Agho, Uchechukwu Levi Osuagwu

Subjects: “…Education…”
Get full text

Predictive mathematical modeling of biomechanical behavior in all-on-4 implants design: effects of distal implant and occlusal load angulation using RSM based on FEA by Fahri Murat, Sema Nur Sevinç Gül, Abdullah Tahir Şensoy, Abdullah Tahir Şensoy, Abdullah Tahir Şensoy

“…This study presents a predictive biomechanical modeling approach for optimizing distal implant placement in the All-on-4 treatment concept, with a focus on implant angulation and occlusal load direction. …”
Get full text

The PIEE Cycle: A Structured Framework for Red Teaming Large Language Models in Clinical Decision-Making by Maissa Trabilsy, Srinivasagam Prabha, Cesar A. Gomez-Cabello, Syed Ali Haider, Ariana Genovese, Sahar Borna, Nadia Wood, Narayanan Gopala, Cui Tao, Antonio J. Forte

Get full text

Managing Stress During Long-Term Internships: What Coping Strategies Matter and Can a Workbook Help? by Hanna-Sophie Homann, Timo Ehmke

Subjects: Get full text

Pedagogical prevention of juvenile internet offenses among adolescents in a general education organization by Sofia A. Lomovskaya, Elena E. Gatina, Antonina A. Zatomskaya

Get full text

Investigating the impact of crisis management training on clinical decision-making and management of stress factors in the personnel of emergency medical services: randomized contr... by Ghasem Babamiri, Zohreh Karimiankakolaki

Subjects: “…Education…”
Get full text

p62/SQSTM1 accumulation in squamous cell carcinoma of head and neck predicts sensitivity to phosphatidylinositol 3-kinase pathway inhibitors. by Wen-Liang Kuo, Marina N Sharifi, Mark W Lingen, Omar Ahmed, Jing Liu, Madhavi Nagilla, Kay F Macleod, Ezra E W Cohen

Get full text

Machine-learning-driven prediction of flow curves and development of processing maps for hot-deformed Ni–Cu–Co–Ti–Ta alloy by Reliance Jain, Sandeep Jain, Sheetal Kumar Dewangan, M.R. Rahul, Sumanta Samal, Eunhyo Song, Younggeon Lee, Yongho Jeon, Krishanu Biswas, Gandham Phanikumar, Byungmin Ahn

“…To reduce experimental efforts and enhance prediction accuracy, five machine learning (ML) models random Forest (RF), XGBoost (XGB), decision tree (DT), K-Nearest neighbor (KNN), and gradient boosting (GB) were applied to predict the flow stress–strain response and construct processing maps. …”
Get full text

Study smart: Peer-teaching workshop series for learning strategies, time and stress management in medical studies – a project report by Gross, Georg, Feron, Leon, Beetz, Felix, Krapp, Nicolas, Schüttpelz-Brauns, Katrin

Get full text