Using machine learning to predict anesthetic dose in fish: a case study using nutmeg oil by Mert Minaz, Cem Alparslan, Akif Er

“…Application of anesthetic chemicals in aquaculture is important to minimize stress under normal operations such as handling, transport, and artificial breeding. …”
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Suppression of p53-inducible gene 3 is significant for glioblastoma progression and predicts poor patient prognosis by Jishu Quan, Yong Li, Meihua Jin, Dunfu Chen, Xuezhe Yin, Ming Jin

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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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The stress level of future teachers depending on the direction of professional subject training by N. Yu. Galoy

Subjects: “…stress…”
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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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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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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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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 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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Classification and Regression Tree Analysis in Adult Hemophagocytic Syndrome: Identifying Acute Heart Failure Predictors in ICU Patients by Kilincer Bozgul SM, Kurtulmus IA, Yargucu Zihni F, Akad Soyer N, Yagmur B, Gunes A, Koymen G, Bozkurt D

“…This study aimed to identify factors that predict heart failure in HPS patients to help doctors diagnose and treat it early. …”
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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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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 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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