Predicting Workplace Hazard, Stress and Burnout Among Public Health Inspectors: An AI-Driven Analysis in the Context of Climate Change by Ioannis Adamopoulos, Antonios Valamontes, Panagiotis Tsirkas, George Dounias

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Research on quantitative prediction method of structural fractures in metamorphic rock reservoirs by Qinghong Yang, Qi Cheng, Guanjie Zhang, Xinwu Liao, Ning Shi, Lei Zhang, Xiang Wang, Wenchao Liu, Jingshou Liu

Subjects: “…Multiperiod fracture prediction…”
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Predictive value and robustness of the stress hyperglycemia ratio combined with hypertension for stroke risk: evidence from the CHARLS cohort by Yaxuan He, Yu Cao, Rong Xiang, Fang Wang

Subjects: “…Stress hyperglycemia ratio…”
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Prediction of Pilot Performance During Startle Events Based on Neuropsychophysiological Features of Stress Resilience and Cognitive Task Scores by Mate Gambiraza, Sinisa Popovic, Matej Kurtak, Tanja Jovanovic, Seth Norrholm, Kresimir Cosic

“…Accordingly, this study investigates the potential of optimally selected stress resilience features and cognitive task scores to predict pilot performance during startle events. …”
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Securing fruit trees future: AI-driven early warning and predictive systems for abiotic stress in changing climate by Muhammad Ahtasham Mushtaq, Muhammad Ateeq, Muhammad Ikram, Shariq Mahmood Alam, Muhammad Mohsin Kaleem, Muhammad Atiq Ashraf, Muhammad Asim, Khalid F. Almutairi, Mahmoud F. Seleiman, Fareeha Shireen

Subjects: “…Stress resilience…”
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Formation Pore Pressure Prediction and Application Based on Aacoustic Logging by QI Wenli, WU Huimei, LOU Yishan, ZHAI Xiaopeng, LIU Hong

“…To increase the prediction precision of pore pressure in the Huazhuang block, the article applied the equivalent depth method, the Eaton method and the effective stress method to predict the pore pressure, and analyzed the prediction results. …”
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Stress Hyperglycemia Ratio and Hemoglobin to RDW Ratio in Predicting the Outcomes of Thrombolysis-Treated Stroke: A Retrospective Cohort Study by Sarawut Krongsut, Nat Na-Ek

“…This study aimed to assess the predictive performance of high SHR (≥1.18) and low HB/RDW (≤0.76) together in stroke patients treated with thrombolysis. …”
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Endothelial Activation and Stress Index Is Associated With Adverse Maternal and Perinatal Outcomes in Preeclampsia by Anna S. Scholz, Annabel Kussner, Michael Elsässer, Thomas Luft, Stephanie Wallwiener, Alexandra von Au

“…Therefore, we aimed to assess the predictive performance of EASIX for adverse maternal and perinatal outcomes in pregnancies with preeclampsia. …”
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Prediction of antioxidant capacity, age, and sex on sleep impairment in patients with amyotrophic lateral sclerosis by David Sancho-Cantus, Elena Sanchis Sanchis, Julia Casani-Cubel, Jesús Privado, Jesús Escriba, Ana Belén Carriquí-Suárez, María Benlloch, José Joaquín Cerón, Camila Peres Rubio, Laura Cubero-Plazas, José Enrique de la Rubia Ortí

“…Abstract Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterised by high levels of inflammation and oxidative stress, predominantly affecting males, particularly those between the ages of 50 and 65 years. …”
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Attachment-based compassion therapy and adapted mindfulness-based stress reduction for the treatment of depressive, anxious and adjustment disorders in mental health settings: a randomised controlled clinical trial protocol by Jesus Montero-Marin, Carlos Collado-Navarro, Mayte Navarro-Gil, Alba Lopez-Montoyo, Marcelo Demarzo, Paola Herrera-Mercadal, Alberto Barcelo-Soler, Javier Garcia-Campayo

“…In this randomised controlled trial, we hypothesise that the provision of attachment-based compassion therapy (ABCT), which is a compassion-based protocol, will be more effective than mindfulness-based stress reduction (MBSR), which is a conventional MBI programme, for the treatment of depressive, anxious and adaptive symptoms in patients in mental health settings.Methods and analysis Approximately 90 patients suffering from depressive, anxious or adjustment disorders recruited from Spanish mental health settings will be randomised to receive 8 weekly 2 hours group sessions of ABCT, 8 weekly 2.5 hours group sessions of adapted MBSR (with no full-day silent retreat) or treatment as usual (TAU), with a 1:1:1 allocation rate. …”
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Machine learning-based approach for reduction of energy consumption in hybrid energy storage electric vehicle by T. Paulraj, Yeddula Pedda Obulesu

“…With SC support, the EUDC cycle exhibits a 21.3% reduction in battery peak current, 18.1% reduction in peak power demand, and 5.75% lower battery energy consumption. …”
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Individual stress reactivity predicts alcohol craving and alcohol consumption in alcohol use disorder in experimental and real-life settings by Judith Zaiser, Sabine Hoffmann, Sina Zimmermann, Tatjana Gessner, Milena Deck, Nina Kim Bekier, Martin Abel, Philipp Radler, Jens Langejürgen, Bernd Lenz, Sabine Vollstädt-Klein, Jan Stallkamp, Clemens Kirschbaum, Falk Kiefer, Patrick Bach

“…Subjective stress reactivity was the most influential predictor of craving during the experiment (F(1,92) = 9.43, p = 0.003) and during the ambulatory phase (β = 0.16, p = 0.039) while cortisol levels predicted alcohol consumption in real-life settings (β = 9.76, p = 0.043). …”
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Predictive Value of the Estimation of Physiologic Ability and Surgical Stress Scoring System for Postoperative Lymphocele Formation in Patients with Endometrial Cancer by Hui Lu, Zhen Hu, Junqiang Du

“…Methods: In this retrospective cohort study conducted at Dongyang Hospital affiliated with Wenzhou Medical University, China, we analyzed 180 patients with endometrial cancer who underwent radical surgery between 2012 and 2023. We evaluated the predictive performance of E-PASS components: preoperative risk score (PRS), surgical stress score (SSS), and comprehensive risk score (CRS). …”
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A XGBoost-Based Prediction Method for Meat Sheep Transport Stress Using Wearable Photoelectric Sensors and Infrared Thermometry by Ruiqin Ma, Runqing Chen, Buwen Liang, Xinxing Li

“…Finally, machine learning algorithms such as Gaussian Naive Bayes (GaussianNB), Passive-Aggressive Aggregative Classifier (PAC), Nearest Centroid (NC), K-Nearest Neighbor Classification (KNN), Random Forest (RF), Support Vector Classification (SVC), Gradient Boosting Decision Tree (GBDT), and eXtreme Gradient Boosting (XGB) were established to predict the classification models of transportation stress in meat sheep. …”
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Microdamage caused by fatigue loading in human cancellous bone: relationship to reductions in bone biomechanical performance. by Floor M Lambers, Amanda R Bouman, Clare M Rimnac, Christopher J Hernandez

“…The relationship between reductions in Young's modulus and proportion of fatigue life was nonlinear and suggests that most microdamage generation occurs late in fatigue loading, during the tertiary phase. …”
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Machine learning prediction of 18 date palm polyphenol protection against biomolecular damage by Nashi K. Alqahtani, Tareq M. Alnemr, Rania Ismail, Hosam M. Habib

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Correction for post-traumatic stress disorder can be predicted in hospitalized blunt trauma patients using a simple screening tool

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USING THE METHODS OF SYSTEMS BIOLOGY FOR PREDICTING PERSPECTIVE TARGET GENES TO SELECT C3 AND C4 CEREALS FOR OXIDATIVE STRESS RESISTANCE by A. V. Doroshkov, A. V. Bobrovskikh

“…Cells produce ROS during normal metabolism reactions, but ROS production increases under stressful conditions. Improving the antioxidant system in cultivated plants will increase their tolerance to abiotic stresses, such as salinity, drought and cold. …”
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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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