Effect of BFRP textile geometric characteristics on the flexural performance of textile reinforced concrete thin plate: An experimental and theoretical study by Xiaofei Zhang, Xin Wang, Lining Ding, Yongwang Zhang, Xunmei Liang, Zhishen Wu

“…These findings provide a basis for optimizing textile geometry and predicting the bending performance of BTRC elements.…”
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The analysis of the progressive local failure process of the Longquan Reservoir dam based on the global-local dynamic strength reduction method by Xin Qu, Fangfang Diao, Cheng Li, Xingqian Xu, Zihan Wang, Shuai Hao

“…Combining this model with the global-local dynamic strength reduction method, the progressive local failure process of the dam under heavy rain conditions was simulated. …”
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p62/SQSTM1 accumulation in squamous cell carcinoma of head and neck predicts sensitivity to phosphatidylinositol 3-kinase pathway inhibitors. by Wen-Liang Kuo, Marina N Sharifi, Mark W Lingen, Omar Ahmed, Jing Liu, Madhavi Nagilla, Kay F Macleod, Ezra E W Cohen

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Distributed Frequency Regulation Method for Power Grids Considering the Delayed Response of Virtual Power Plants by Jun Qi, Anning Ying, Bohang Zhang, Dan Zhou, Guoqing Weng

“…To tackle the challenges of distributed flexible resource coordination and inherent control delays in virtual power plant (VPP)-participated frequency regulation (FR) for interconnected power systems, this paper proposes a novel distributed model predictive control (DMPC)-based FR strategy with time-delay compensation. …”
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Machine-learning-driven prediction of flow curves and development of processing maps for hot-deformed Ni–Cu–Co–Ti–Ta alloy by Reliance Jain, Sandeep Jain, Sheetal Kumar Dewangan, M.R. Rahul, Sumanta Samal, Eunhyo Song, Younggeon Lee, Yongho Jeon, Krishanu Biswas, Gandham Phanikumar, Byungmin Ahn

“…To reduce experimental efforts and enhance prediction accuracy, five machine learning (ML) models random Forest (RF), XGBoost (XGB), decision tree (DT), K-Nearest neighbor (KNN), and gradient boosting (GB) were applied to predict the flow stress–strain response and construct processing maps. …”
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Predictive mathematical modeling of biomechanical behavior in all-on-4 implants design: effects of distal implant and occlusal load angulation using RSM based on FEA by Fahri Murat, Sema Nur Sevinç Gül, Abdullah Tahir Şensoy, Abdullah Tahir Şensoy, Abdullah Tahir Şensoy

“…This study presents a predictive biomechanical modeling approach for optimizing distal implant placement in the All-on-4 treatment concept, with a focus on implant angulation and occlusal load direction. …”
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Cardiovascular risk and stress in employees of a higher education institution by Eugênio Barbosa de Melo Júnior, Jayne Ramos Araujo Moura, Sâmia Suély Leal Borges, Açucena Leal de Araújo, Jackson Júnior Vieira de Castro, Ana Roberta Vilarouca da Silva

“…Objective: to analyze the association between high levels of stress and the frequency of cardiovascular risk factors in employees of a higher education institution. …”
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Cardiovascular risk and stress in employees of a higher education institution by Eugênio Barbosa de Melo Júnior, Jayne Ramos Araujo Moura, Sâmia Suély Leal Borges, Açucena Leal de Araújo, Jackson Júnior Vieira de Castro, Ana Roberta Vilarouca da Silva

“…Objective: to analyze the association between high levels of stress and the frequency of cardiovascular risk factors in employees of a higher education institution. …”
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Data From Early Childhood Educators’ Work and Stress Study by Randi A. Bates, Jaclyn M. Dynia, Bailey E. Martin

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job stress, education and work ability among refinery workers by S Safari, E Habibi, H Dehghan, B Mahaki, A Hassanzadeh

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Examining the after-school study burden of Chinese secondary school students following burden reduction policies: a sociological analysis by Yunfang Ran, Xi Wu, Yitao Wang, Zhiying Zhou, Yuan Yin

“…Findings This study found that burden reduction policies have brought some relief to student participants due to tailored assignments, learning support, and diversified after-school programs, although the pressure remained high. …”
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Educational Stress and Artificial Intelligence Tools: A Study of International Students’ Experiences in Spanish Higher Education by Aida Mehrad, Mohammad Hossein Tahriri Zangeneh, Meriem Bouzedif, Neema George Rweramila

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Predicting Clinical Response to Monoclonal TNF Inhibitors in Rheumatoid Arthritis: A Transcriptomic Approach Based on Transmembrane TNF Reverse Signaling and Nrf2 Activation by Katy Diallo, Yannick Degboé, Michel Baron, Anaïs Bellin-Robert, Jean-Frédéric Boyer, Adeline Ruyssen-Witrand, Arnaud Constantin, Benjamin Rauwel, Alain Cantagrel, Jean-Luc Davignon

“…We previously showed that certolizumab, a Fab’ TNFi, activates RS in human primary monocytes, at least in part through the transcription factor Nrf2 that is known to regulate the expression of genes involved in anti-inflammatory response and oxidative stress. (2) <b>Methods</b>: Here, we have developed an assay for the prediction of clinical response of RA patients to TNF inhibitors. …”
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Flowability-Dependent Anisotropic Mechanical Properties of 3D Printing Concrete: Experimental and Theoretical Study by Xinlei Song, Quanbiao Xu, Hailong Wang, Xiaoyan Sun, Feng Xue

“…These results establish a theoretical framework for optimizing and predicting 3DPC mechanical performance, supporting its practical application in construction.…”
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The PIEE Cycle: A Structured Framework for Red Teaming Large Language Models in Clinical Decision-Making by Maissa Trabilsy, Srinivasagam Prabha, Cesar A. Gomez-Cabello, Syed Ali Haider, Ariana Genovese, Sahar Borna, Nadia Wood, Narayanan Gopala, Cui Tao, Antonio J. Forte

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Regeneration of Insulin-Producing β Cells, Reduction in Inflammation and Oxidation Stress, and Improvement in Lipid Profile in a Type 1 Diabetes Rat Model by Intraperitoneal Injection of the Growth Factors-Rich Catfish Skin-Derived Fraction-B: An Introductory Report by Jassim M. Al-Hassan, Waleed M. Renno, Sosamma Oommen, Divya Nair, Bincy Maniyalil Paul, Bincy Mathew, Jijin Kumar, Afna Ummerkutty, Cecil Pace-Asciak

“…FB treatment also improved diabetes-related health issues through a reduction in inflammation and oxidative stress, and an improvement in lipid profiles without toxicity or side effects. …”
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Trans-sodium crocetinate ameliorates Parkinson-like disease caused by bisphenol A through inhibition of apoptosis and reduction of α-synuclein in rats by Majid Keshavarzi, Bibi Marjan Razavi, Hossein Hosseinzadeh

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Biomechanical comparison of various bone reduction forceps in interfragmentary compression and area of compression in an experimental model of canine lateral humeral condylar fract... by Madison Baskette, Cassio Ricardo Auada Ferrigno

“…<h4>Materials and methods</h4>Seven cadaveric canine humeri with simulated lateral humeral condylar fractures were used in this study. A stress-sensitive film was placed at the fracture gap and five different bone reduction forceps were used to reduce the fractures to their maximum pressure before failure occurred. …”
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Wear Characterization and Coefficient of Friction Prediction Using a Convolutional Neural Network Model for Chromium-Coated SnSb11Cu6 Alloy by Mihail Kolev, Vladimir Petkov, Veselin Petkov, Rositza Dimitrova, Shaban Uzun, Boyko Krastev

“…Enhancing the durability and tribological performance of babbitt alloys is critical for high-stress applications in automotive, marine, and industrial machinery. …”
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Preoperative evaluation of endoscopic thyroidectomy via the total areola approach (ETA): a fluid-structure interaction model for predicting lymph node clearance and surgical suitab... by Ping Li, Yuheng Du, Xudong Wang, Yu Shi, Chongyang Ye, Rui Jin

“…Preoperative CT imaging was used to construct a fluid-solid interaction model simulating tissue deformation and stress under 0.5–2 N traction forces, with innominate artery flow velocities predicted computationally. …”
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