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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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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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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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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An equipment behavioral study in fluidic production processes using data for an optimized predictive maintenance: Application to pneumatic valves in biopharmaceutical Industry by Wadel Florent, Tighazoui Ayoub, Houssin Remy, Coulibaly Amadou

“…Predictive maintenance of production equipment is gaining increasing interest in the biopharmaceutical industry in the context of Industry 4.0, where reliability is essential to ensure product quality, equipment availability, and compliance with strict standards. …”
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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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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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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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Optimal design of a hybrid ship energy management system under various sea conditions using Model Predictive Control. by Rafia Mushtaq, Muhammad Iqbal, Abdul Khaliq, Jamshed Iqbal

“…This paper introduces an optimal design and control approach for a hybrid ship energy management system under various sea conditions by employing model predictive control. Ship reliability and environmental sustainability can be enhanced by reducing emissions and ecological impact. …”
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Evaluating Predictive Value of Plasma Free Hemoglobin (PFH) in ECMO for COVID-19, Non-COVID-19 Pulmonary, and Cardiac Patients by Wasiq Rashid, Varshith Paduchuri, Joby Chandy, John Hodgson, Enrico Camporesi

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Econometric predictive model for assessing the functional state of students during the examination period: a cross-sectional exploratory pilot study by I. S. Knyazhev, L. V. Karaulova, O. V. Reztsov, A. P. Spitsin

“…The values in adaptive potential exceeded 2.0 points, indicating the stress of the cardiovascular adaptation. The correlation regression analysis showed the greatest significance of the multiple linear regression model developed by the authors for predicting the adaptive potential of the cardiovascular system.…”
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Evaluation of PINK1 protein expression as a predictive marker for the efficacy of adjuvant chemotherapy in colorectal cancer: a retrospective study by Takatsugu Fujii, Masataka Hirasaki, Yasuo Kamakura, Tomonori Kawasaki, Satoshi Yamasaki, Yasuhiro Ishiyama, Chikashi Hiranuma, Tetsuya Hamaguchi, Yasumitsu Hirano, Shinichi Sakuramoto

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A novel Z-shaped anti-rotation rod for atlantoaxial dislocation reduction: finite element analysis by Mandi Cai, Rencai Ma, Junlin Chen, Xinzhao Huang, Yixing Zhang, Zhuohang Xie, Xiaobao Zou, Xiangyang Ma

“…Based on this model, two C1-C2 fixation configurations were simulated: conventional pedicle screw-rod (PS-CR) and pedicle screw-Z-shaped rod (PS-ZR). Reduction forces were measured and compared. Range of motion (ROM), stress distribution and peak stress values of the implants were recorded and compared under six loading conditions including flexion, extension, lateral bending, and axial rotation. …”
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Biomechanical effects of FNS on femoral neck fractures based on different reduction quality: finite element analysis by Xu Zhang, Yazhong Zhang, Shaolong Huang, Xiangyu Qi, Wenbo Li, Yongxiang Lv, Ziqiang Zhu

“…Conclusion The displacement and stress of negative reduction were greater than those of positive reduction and anatomical reduction when the tip-apex distance > 10 mm, and the bolt was situated in the lower-middle to the third part of the cortical corridor of the femoral neck, and in the presence of osteoporosis. …”
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