Predicting Job Burnout of Medical Staff of Karaj Government Hospitals by Ego Strength: Mediating Role of Emotion Regulation and Alexithymia by Jamil Mansouri, Mina Mohammadi, Mohammad Ali Besharat, Nazila Amani

“…The indirect path analysis results indicated that the relationship between ego strength and job burnout is substantially mediated by emotion regulation and alexithymia. Considering the stressful environment of hospitals and considering the findings of the research, it is possible to design and implement educational and intervention programs based on ego strength with more emphasis on emotional dimensions, including emotion regulation and alexithymia, in order to reduce the burnout of medical staff.…”
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Predicting the strength of 3D-printed conductive composite under tensile load: A probabilistic modeling and experimental study by Nassima Naboulsi, Fatima Majid, Taoufik Hachimi, Soufyan Dadoun, Najoua Barhoumi, Kaouther Khlifi

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A data-driven analysis of emergency first responder education on substance use and stress management across demographic and professional backgrounds by Francine R. Vega, Audrey Lopez, Vicky Beakley, A. Sarah Cohen, Tiffany Champagne-Langabeer

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Drug-Drug interactions prediction calculations between cardiovascular drugs and antidepressants for discovering the potential co-medication risks. by Tie Hua Zhou, Tian Yu Jin, Xi Wei Wang, Ling Wang

“…Predicting Drug-Drug Interactions (DDIs) enables cost reduction and time savings in the drug discovery process, while effectively screening and optimizing drugs. …”
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Intelligent classification and prediction of students’ mental health in online learning environments using boosting algorithm and LIWC features by Xiaomin Xu, Tianrong Zhang

“…Experimental results show that the model’s classification accuracy ranges between 98 and 99%, effectively reducing misclassification rates and accurately identifying students experiencing high stress and anxiety. The model enhances mental health status classification and real-time monitoring accuracy, offering critical support for targeted psychological interventions in education.…”
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An Analytical study of Optimal Die Design of Elliptic Tube by Muthanna H. S.

“…ANSYS program is used to compare the behavior and values of  relative extrusion stress for  optimum relative die length at constant reduction of area (R.A.=25%). …”
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Study on the gas outflow pattern and outflow prediction model of the return mining face under complex geological conditions by Yi Sun, Lulin Zheng, Hong Lan, Zhaoxing Yu, Jin Wang, Bo Li, Feng Yang, Fangbo Wen

“…The findings reveal that as the mining face advances to nearly 100 m from the fault, the surrounding stress intensifies to about 21 MPa, creating a pronounced stress concentration. …”
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Finite Element Analysis and Machine Learning‐Based Prediction of Oil Tank Behavior Under Diverse Operating Conditions by Themba Mashiyane, Lagouge Tartibu, Smith Salifu

“…For the ML, ANFIS excelled in predicting stress and strain with R2 values of 0.999, while ANN proved superior for useful life predictions with R2 values of 0.998. …”
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Radix Actinidia chinensis Suppresses Renal Cell Carcinoma Progression: Network Pharmacology Prediction and In Vivo Experimental Validation by Biao Liu, Liang Zhang

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Intergenerational effects of climate disasters: trimester of pregnancy when a hurricane hits predicts neonate body size by Michaela Emily Howells, Jessica C. Reich, Lenis P. Chen-Edinboro, Alexandra Faith Ortiz Blair

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A two-parameter damage-controlled strength model to predict the fracturing of brittle rock mass at great depth by Songfeng Guo, Shengwen Qi, Shishu Zhang, Muhammad Faisal Waqar, Feng Xiong, Ning Liang, Bowen Zheng, Xingdong Ma, Fengjiao Tang

“…The prediction of brittle failure under excavation in high-stress hard rock materials is always a challenge in rock mechanics and geological engineering in the past few decades. …”
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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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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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Incorporating soil moisture data into a machine learning framework improved the predictive accuracy of corn yields in the U.S. by Bishwoyog Bhattarai, Zachary Leasor, André Fróes de Borja Reis

“…We hypothesize that incorporating soil moisture and temperature data from land surface models into a ML framework will enhance accuracy of corn yield predictions. To test this, we employed XGBoost algorithm using long-term (2010–2022) yield data collected from multi-environment corn trials conducted by the Variety Testing Program at the University of Missouri, along with weather data from Daymet database, soil data from North American Land Data Assimilation System (NLDAS-2), and POLARIS soil database. …”
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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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