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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Influence Mechanism and Optimal Design of Flexible Spring-Tooth Reel Mechanism for Soybean Pod-Shattering Reduction by Yuxuan Chen, Shiguo Wang, Bin Li, Yang Liu, Zhong Tang, Xiaoying He, Jianpeng Jing, Weiwei Zhou

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Prediction of Composite Panel Operability Under Non-Stationary Heating by the External Environment by Roman Musii, Myroslava Klapchuk, Uliana Zhydyk, Vitaliy Korendiy, Inha Svidrak, Roman Protasov

“…A physical and mathematical model consisting of two stages is proposed to predict the operability of such a panel depending on the heat transfer conditions. …”
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Use of Machine Learning Algorithms to Predict Almen (Shot Peening) Intensity Values of Various Steel Materials by Murat İnce, Hatice Varol Özkavak

“…For all steel-group VSP samples, the highest CRS and hardness values were obtained at the 60 s −4 mm parameter. This paper aims to predict Almen intensity values using CRS, surface roughness, and hardness values from various steels. …”
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Outness predicts greater leukocyte telomere length in sexually minoritized men with HIV who use methamphetamine by Renessa S. Williams, Ariana Johnson, Michael Miller-Perusse, Annesa Flentje, Judy Moskowitz, Samantha E. Dilworth, Keith J. Horvath, Adam W. Carrico, Brad E. Aouizerat, Delaram Ghanooni

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Effect of deep pressure input on autonomic regulation during wisdom tooth extraction: From waiting room to surgery by Hsin-Yung Chen, Hsiang Yang, Ching-En Men, Chih-Hui Shen, Hsin-Ming Chen

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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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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

“…Abstract Background Stress hyperglycemia ratio (SHR) refers to the ratio of blood glucose levels to glycated hemoglobin (HbA1c) levels upon admission. …”
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Title not available by Linn, Debora, Becker, Wilfried

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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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Predictive Value of Natriuretic Peptide Tests and Ischemia Modified Albumin Levels in the Diagnosis of Obstructive Sleep Apnoea Syndrome by Hamza Ogun, Eray Metin Güler, Beyza Nur Özkan, Muhammed Yunus Bektay, Abdullah Kansu, Ömer Faruk Çalım

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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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Genetically Predict Diet‐derived Antioxidants and Risk of Neurodegenerative Diseases Among Individuals of European Descent: A Mendelian Randomization Study by Qing‐Qing Duan, Wei‐Ming Su, Xiao‐Jing Gu, Jiang Long, Zheng Jiang, Kang‐Fu Yin, Wei‐Chen Cai, Bei Cao, Li‐Yi Chi, Xia Gao, Ju‐Rong Li, Yong‐Ping Chen

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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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Extracellular Vesicles: A Novel Target for Exercise-Mediated Reductions in Type 2 Diabetes and Cardiovascular Disease Risk by Natalie Z. M. Eichner, Uta Erdbrügger, Steven K. Malin

“…However, only about 40–50% of this CVD risk reduction is accounted for by adiposity, hyperglycemia, hypertension, and dyslipidemia. …”
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Sirtuin1 mitigation of calcium oxalate nephropathy via enhancing itaconate abundance through reduction of histone trimethylation by Xiangyang Yao, Haoran Liu, Chen Duan, Yangjun Zhang, Xiaoliang Wu, Bo Li, Sheng Li, Yan Gong, Tongzu Liu, Xinghuan Wang, Hua Xu

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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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