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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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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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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Critical length parameter of HDPE and its use in fatigue lifetime predictions by Kamila Kozáková, Lukáš Trávníček, Jan Poduška, Jan Klusák

“…For this reason, the critical distance is modified by the ratio of stress concentration factors and the modified distance is used for fatigue lifetime predictions of notched specimens with various notch radii. …”
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Critical length parameter of HDPE and its use in fatigue lifetime predictions by Kamila Kozáková, Lukáš Trávníček, Jan Poduška, Jan Klusák

“…For this reason, the critical distance is modified by the ratio of stress concentration factors and the modified distance is used for fatigue lifetime predictions of notched specimens with various notch radii. …”
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An Integrated Cellular Automata Model Improves the Accuracy of Secondary Fragmentation Prediction by René Gómez, Camila San Martin, Raúl Castro

“…This work describes the application of a new model to improve the accuracy of the prediction of fine material in block caving mining by coupling a stress model and a fragmentation model, integrating the shear strain effect. …”
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Enhancing Undrained Shear Strength Prediction through Innovative Hybridization Techniques by Chisom Samuel, Damilare Adewunmi

“…An innovative approach for predicting USS in soft clays using machine learning methods is pioneered in this study, with a specific focus on a set of five crucial feature variables, such as pre-consolidation stress (PS), vertical effective stress (VES), liquid limit (LL), plastic limit (PL), and natural water content (W), which serve as inputs for the data-driven models. …”
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Digital twin for real-time pressure vessels fatigue life prediction by Izat Khaled, Mohamed Bennebach, Dmytro Vasiukov, Modesar Shakoor, Salim Chaki

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Developing serum proteomics based prediction models of disease progression in ADPKD by Hande Ö. Aydogan Balaban, Sita Arjune, Franziska Grundmann, Jan-Wilm Lackmann, Thomas Rauen, Philipp Antczak, Roman-Ulrich Müller

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Automated diabetes detection prediction system based on patients’ medical data by S.V. Pidopryhora, Yu.V. Bogoyavlenska

“…The development of an automated system for predicting diabetes detection is an extremely relevant task, especially given the rapid increase in the number of diabetes cases in Ukraine and worldwide. …”
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