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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Intelligent classification and prediction of students’ mental health in online learning environments using boosting algorithm and LIWC features by Xiaomin Xu, Tianrong Zhang

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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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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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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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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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Comparison of hemodynamic effects and negative predictive value of normal adenosine gated myocardial perfusion scan with or without caffeine abstinence by Maseeh uz Zaman, Nosheen Fatima, Areeba Zaman, Unaiza Zaman, Rabia Tahseen

“…The aim of this study was to compare the hemodynamic changes and negative predictive value (NPV) of normal MPIs with adenosine stress performed with or without caffeine abstinence. …”
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The predictive utility of the E-PASS score for postoperative complications in robot-assisted partial nephrectomy: a retrospective cohort study by Cagatay Ozsoy, Erhan Ates, Resat Inal, Mucahit Gelmis, Sahin Kilic, Mutlu Ates

“…The Estimation of Physiologic Ability and Surgical Stress (E-PASS) score, originally developed for gastrointestinal surgery, combines physiological and surgical parameters for the prediction of postoperative risk. …”
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Integrated phenotypic analysis, predictive modeling, and identification of novel trait-associated loci in a diverse Theobroma cacao collection by Insuck Baek, Minhyeok Cha, Seunghyun Lim, Brian M. Irish, Sookyung Oh, Jishnu Bhatt, Rakesh K. Upadhyay, Moon S. Kim, Lyndel W. Meinhardt, Sunchung Park, Ezekiel Ahn

“…We also developed machine learning (ML) models for yield prediction and identified yield-associated SNP markers. …”
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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. …”
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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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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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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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Ameliorative Effect of Parabacteroides distaxsonis on Cognitive Impairment Caused by Type 2 Diabetes Mellitus by DU Yue, ZHAO Zhongna, LIU Xuebo

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Integrated Strategies for Air Quality and Thermal Comfort Improvement: The Case Study of the University Campus of Catania by Salvatore Leonardi, Maurizio Detommaso, Nilda Georgina Liotta, Natalia Distefano, Francesco Nocera, Vincenzo Costanzo

“…Three scenarios were tested: a baseline, Scenario 1 (50% traffic reduction with moderate greening), and Scenario 2 (30% traffic reduction with more extensive greening and material interventions). …”
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