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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Integrated physiological and transcriptomic analyses reveal the mechanism of reduction in wheat fertile floret number under spring low-temperature stress by Ying Weng, Zhiwei Tang, Weixiang Huang, Rui Wang, Feifei Wang, Hongmei Cai, Hao Wang, Zehao Liu, Baoqiang Zheng, Jincai Li, Xiang Chen

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Effectiveness of an online mindfulness based stress reduction intervention on psychological distress among patients with COVID19 after hospital discharge by Maryam Mozaffari, Manijeh Naderi, Hosein Zahednezhad, Fataneh Ghadirian

“…This study aimed to investigate the effectiveness of an online Mindfulness-Based Stress Reduction (MBSR) training program in alleviating psychological distress, depression, anxiety, and stress among patients who have passed the acute phase of COVID-19 and have been discharged from the hospital. …”
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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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A comprehensive analysis of vibration and noise reduction with titanium/epoxy modified composite coating over steel sample by Ajay Saini, Ashu Yadav, Dalip Singh

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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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Geophysical characterization methods for sweet spots in shale oil: A case study of Niuzhuang Subsag in Shengli Oilfield by ZHANG Qiang, WANG Jing, ZHOU Haiting, LÜ Shichao

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The impact of mindfulness intervention on the subjective well-being of nursing students: an experimental study by Nurgul Karakurt, Hatice Durmaz

Subjects: “…Mindfulness-Based stress reduction…”
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Storage Life Prediction Based on Kernel Path Classification and Estimation Model by PAN Yuxiong, ZHOU Guifa, WANG Xu

“…Then, degradation data at higher stress can be converted to those at normal stress by data conversion formula. …”
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