Predictive performance of stress hyperglycemia ratio for poor prognosis in critically ill patients: a systematic review and dose–response meta-analysis by Lili Chen, Xiaoxue Zeng, Wenjing Zou, Meng Chen, Ya Fan, Ping Huang

“…As a non-invasive and easily obtainable indicator, there is no systematic evidence-based medical evidence to support the value of SHR in predicting the poor prognosis of critically ill patients at present. …”
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Flow Accelerated Corrosion Prediction in High Pressure Economizer of a Heat Recovery Steam Generator by Phuris Khunphakdee, Kiattikhoon Phuakpunk, Benjapon Chalermsinsuwan

“…This recirculation forced the flow in the remaining area to accelerate, causing higher wall shear stresses on the side opposite the recirculation. As high shear stresses correlate with the locations where the flow accelerated corrosion occurs severely in practice, the Chilton-Colburn analogy was applied for FAC rate prediction. …”
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Genetically predicted cortisol levels and risk of venous thromboembolism. by Elias Allara, Wei-Hsuan Lee, Stephen Burgess, INVENT consortium, Susanna C Larsson

“…<h4>Introduction</h4>In observational studies, venous thromboembolism (VTE) has been associated with Cushing's syndrome and with persistent mental stress, two conditions associated with higher cortisol levels. …”
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Predicting potato plant vigor from the seed tuber properties by Elisa Atza, Rob Klooster, Falko Hofstra, Frank van der Werff, Hans van Doorn, Neil Budko

“…At the same time, for the variety that appeared to be less sensitive to environmental stresses, we obtained cross-field and cross-year vigor predictions correlating up to $$80\%$$ with the measurements. …”
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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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PREDICTIVE VALUE OF ECHOCARDIOGRAPHY IN POST MYOCARDIAL INFARCTION SETTING. PART 2 by P. V. Krikunov, Yu. A. Vasyuk, O. V. Krikunova

“…It was shown, that for prediction related data acquisition, it is possible to apply multiple echocardiographic parameters, such as the volumes and ejection fraction of the left ventricle, wall motion index, left atrium volume, and existence of atrial regurgitation. …”
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PREDICTIVE VALUE OF ECHOCARDIOGRAPHY IN POST MYOCARDIAL INFARCTION SETTING. PART 1 by P. V. Krikunov, Yu. A. Vasyuk, O. V. Krikunova

“…It was shown, that for prediction related data acquisition, it is possible to apply multiple echocardiographic parameters, such as the volumes and ejection fraction of the left ventricle, wall motion index, left atrium volume, and existence of atrial regurgitation. …”
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Risk prediction models for stress urinary incontinence after pelvic organ prolapse (POP) surgery: a systematic review and meta-analysis by Bi Jun Yu, Hao Chong He, Li Wang, Han Mei Shao, Ying Min Liu, Xiao Ying Yan, Jian Liu

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Developing a geomechanical model to predict breakdown pressure in a vertical borehole using failure analysis: a case study by Majid Jamshidian, Mostafa Mansuri Zadeh, Omid Mohammadzadeh, Mohammad Abdideh

“…Four failure criteria, namely Mohr–Coulomb, 2D Hoek–Brown, Hubbert-Willis and 3D Mogi-Coulomb were used to obtain the breakdown pressure for the target reservoir. Based on the prediction results of these failure criteria, it was obtained that 2D Hoek–Brown, Hubbert-Willis, and 3D Mogi-Coulomb criteria resulted in seemingly unrealistic breakdown pressures with respect to the minimum horizontal stress gradient. …”
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Fatigue Life Prediction for an Extrusion Die Based on the Experimental Factors by Vivean Hassan Hammed, Mohammed Ali Nasser, Ali Hassan Salih

“…So, the present research describes the main purpose of predicting the fatigue life of the die numerically based on the highest loading factors getting from the experimental work, indicating how many numbers of product samples can be produced during the whole life of this designed die depending on these loading or over. …”
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Pyroshock Prediction of Ridge-Cut Explosive Bolts Using Hydrocodes by Juho Lee, Dae-Hyun Hwang, Jae-Kyeong Jang, Dong-Jin Kim, YeungJo Lee, Jung-Ryul Lee, Jae-Hung Han

“…Although pyroshock propagations are relatively well understood through many numerical and experimental studies, the prediction of pyroshock generation is still a very difficult problem. …”
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WHY WE CANNOT PREDICT STRONG EARTHQUAKES IN THE EARTH’S CRUST by Iosif L. Gufeld, Margarita I. Matveeva, Oleg N. Novoselov

“…The question arises, what hinders solving a problem of earthquake prediction, while longterm and continuous seismic monitoring systems are in place in many regions of the world. …”
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Convolution of the physical point cloud for predicting the self-assembly of colloidal particles by Seunghoon Kang, Young Jin Lee, Kyung Hyun Ahn

“…Furthermore, although we train the semantic stress relationships that constitute each phase of the network using same-sized particles with a pre-specified inter-particle interaction, our algorithm demonstrates generalized predictive performance even for suspensions with randomly distributed particle sizes. …”
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Identification and characterization of forced degradation products of lumateperone tosylate by LC-HRMS, GC-MS, NMR, and in silico toxicity prediction by Nehal Bhatt, Devendra Sonaje, Vijiaya Madhyanapu Golla, Rahul Khemchandani, Roshitha K. R, Arun Kumar Gupta, Gananadhamu Samanthula

“…In silico toxicity analysis using ADMET Predictor® flagged four DPs (DP-1, DP-2, DP-5, and DP-6) with mutagenic alerts and predicted additional hepatotoxic, cardiotoxic, and receptor-mediated risks.These findings support formulation and quality management of lumateperone.…”
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Title not available by Linn, Debora, Becker, Wilfried

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Correction: Risk prediction models for stress urinary incontinence after pelvic organ prolapse (POP) surgery: a systematic review and meta-analysis by Bi Jun Yu, Hao Chong He, Li Wang, Han Mei Shao, Ying Min Liu, Xiao Ying Yan, Jian Liu

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Comparative physiological and transcriptomic analyses identify computationally predicted key genes and regulatory pathways in non-heading Chinese cabbage under heat stress by Wei Liu, Zhangyang Dai, Jingyi Jia, Xiaofeng Li, Hongfang Zhu, Xianzhao Kan, Bo Zhu

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Ambient temperature and wet bulb globe temperature outperform heat index in predicting hydration status and heat perception in a semi-arid environment by Lilian Baker, Hannah Jacobson, Amanda McGrosky, Elena Hinz, Faith Wambua, Alison Sherwood, Tiffany-Chrissy Mbeng, Rosemary Nzunza, David R. Braun, Emmanuel Ndiema, Herman Pontzer, Asher Y. Rosinger

“…These associations were stronger among children than adults.Conclusion In a hot, semi-arid climate, ambient temperature and WBGT accurately predict human water needs and heat stress, with children more vulnerable to dehydration. …”
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Predictive modelling of creep age forming parameters using artificial neural networks by Yo-Lun Yang, Cheng-Ling Tai, Wan-Ling Chen, Sundarakannan Rajendran, Vigneshwaran Shanmugam

“…Yield strength predictions ranged from 456 to 573 MPa with exceptional precision across all stress and time combinations. …”
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Stress hyperglycemia ratio as a biomarker for early mortality risk stratification in cardiovascular disease: a propensity-matched analysis by Mingxing Lei, Yan Li, Longcan Cheng, Nan Tang, Jie Song, Mi Song, QingQing Su, Mingxuan Liu, Shihui Fu, Feng Lin, Yuan Gao

Subjects: “…Stress hyperglycemia ratio…”
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