Development of endothelial dysfunction at an obliterating atherosclerosis of vessels of the lower extremities and markers of prediction of a course of a disease by S. S. Dunaevskaya, Yu. S. Vinnik

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The Role of Artificial Intelligence in Personalized Medicine: A Computer Science Perspective by Raul Mihai RADULESCU

“…It looks at how healthcare AI techniques like deep learning, natural language processing, or even predictive analytics can revolutionize the industry by changing how treatments are administered to be based on the individual profiles of each patient. …”
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Personality predicts internalizing symptoms and quality of life in police cadets: a comparison of artificial intelligence and parametric approaches by Macià Buades-Rotger, Ana Martínez Catena, Guillermo Recio, Mireia Cano Gallent, Jordi Niñerola i Maymí, Anna Figueras Masip, David Gallardo-Pujol

“…Abstract Background Police cadets undergo persistent and elevated stress due to continuous training and evaluation. …”
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Training Load and Current Soreness Predict Future Delayed Onset Muscle Soreness in Collegiate Female Soccer Athletes by Brett S. Pexa, Christopher J. Johnston, Jeffrey B Taylor, Kevin R. Ford

“…# Background Delayed onset muscles soreness (DOMS) is an indication of muscle stress and trauma that develops from excessive musculoskeletal loads. …”
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From Crisis to Algorithm: Credit Delinquency Prediction in Peru Under Critical External Factors Using Machine Learning by Jomark Noriega, Luis Rivera, Jorge Castañeda, José Herrera

“…Among the evaluated models, <i>CNN</i> and <i>XGB</i> consistently demonstrate superior adaptability, defined as their ability to maintain strong predictive performance across diverse stress scenarios—including pandemic, climate, and unrest contexts—and to dynamically adjust to varying input distributions and portfolio conditions. …”
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Ashwagandha and stress by Weronika Sobota, Przemysław Piskorz, Katarzyna Zemsta, Michał Zwoliński, Mateusz Tyniec, Kamal Morshed

“… Ashwagandha, also known as Withania somnifera, is an adaptogen gaining popularity as a natural stress reducer. Stress is a common phenomenon caused by factors such as lifestyle, work pressure or social conflict, and has a negative impact on both mental and physical health. …”
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A Compressor - System Digital Twin for Performance Prediction Under a Wide Range of Flow and Operating Conditions by Alberto Serena, Lars E. Bakken

“…The model under study is vital in the definition of the actual surge margin and of a suitable recovery strategy; an early detection is needed to safeguard stable operation and avoid unnecessary stresses. The main focus is the validation of the system model at the boundary of the operating envelope, and, in particular, the study and prediction of the trip trajectory, caused by disturbances in the power input, or variations in inlet composition, or downstream equipment pressure build-up. …”
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Enhancing diabetes self-management and reducing stress through food skills education with medically under-insured individuals with type-2 diabetes by Hannah-Therese Rayala, Brandon J Stroud, Lauren R Sastre

“…Enhanced self-efficacy in diabetes management and food skills were key contributors to stress reduction, emphasizing the importance of skill-oriented education within diabetes self-management education. …”
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Academic Procrastination among Students: Psychological Factor Contributions of Academic Stress, Self-Efficacy, and Self-Control by Iszanul Dani Nurdiansah, Didit Darmawan

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Assessment of head dynamics using a flexible self-powered sensor and machine learning, capable of predicting probability of brain injury by Gerardo L. Morales-Torres, Ian González-Afanador, Luis A. Colón-Santiago, Nelson Sepúlveda

“…This work presents the application of a flexible, self-powered sensor designed to predict angular velocity and acceleration during head kinematics associated with concussions. …”
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Development of a Fault-Tolerant Permanent Magnet Synchronous Motor Using a Machine-Learning Algorithm for a Predictive Maintenance Elevator by Vasileios I. Vlachou, Theoklitos S. Karakatsanis

“…The model achieved a classification accuracy of 94%, demonstrating high precision in predictive maintenance capabilities. The results confirm that integrating a fault-tolerant PMSM design with real-time data analytics offers a reliable solution for early fault detection, minimizing downtime and enhancing elevator safety.…”
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A Mindfulness Program Addressing Sleep Quality and Stress: Transition to a Telehealth Format for Higher Education Students During COVID-19 by Sara Benham, Nabila Enam, Samanvita Ivaturi

“… Many higher education students report sleep problems, further exemplified along with stress at the onset of the COVID-19 pandemic. …”
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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. …”
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Design of an Optimized Feature Driven Severity Stage Classifier for Parkinson&#x2019;s Disease Prediction Using Deep Learning by K. Shyamala, T. M. Navamani

“…We proposed a Parkinson&#x2019;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. …”
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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. …”
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AGE CONSTRAINTS AND METALLOGENIC PREDICTION OF GOLD DEPOSITS IN THE AKZHAL-BOKO-ASHALIN ORE ZONE (ALTAI ACCRETION-COLLISION SYSTEM) by Yu. A. Kalinin, K. R. Kovalev, A. N. Serdyukov, A. S. Gladkov, V. P. Sukhorukov, E. A. Naumov, A. V. Travin, D. V. Semenova, E. V. Serebryakov, E. D. Greku

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Distributed Frequency Regulation Method for Power Grids Considering the Delayed Response of Virtual Power Plants by Jun Qi, Anning Ying, Bohang Zhang, Dan Zhou, Guoqing Weng

“…Through state-space augmentation techniques, we develop a delay-embedded generalized predictive model that systematically integrates historical state reconstruction and future trajectory prediction. …”
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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

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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. …”

Numerical analysis of three-dimensional arch-bank slope based on fluid–structure interaction by Yuexing Wu, Kai Shen, Xinzhong Wang, Yi Xiang, Linshu Li

“…A two-step finite element analysis method and finite element strength reduction method are employed to analyze the influence of water level factors on the stability of the Guizhou Luowang River Extra Large Bridge arch-bank. …”
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