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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PULSE REDUCTION IN MANAGEMENT OF HYPERTROPHIC CARDIOMYOPATHY (TWO CLINICAL CASES) by N. S. Krylova, E. A. Kovalevskaya, N. G. Poteshkina, Е. A. Mershina, V. Е. Sinitsyn, N. A. Sonicheva, L. Monserrat

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Virtual reality relaxation for hospitals: A novel stress-reduction intervention for patients, families, and staff by Simon Riches, Grace Williams

“…Virtual reality (VR) interventions for relaxation, wellbeing and stress reduction involve users interacting with calming environments using a head-mounted display. …”
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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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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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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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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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The efficacy of an inquiry-based stress reduction program on self-compassion and compassion for others in undergraduate nursing students by Mahboobeh Jamali, Jamileh Farokhzadian, Mahya Torkaman, Sakineh Miri

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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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Cytotoxicity of citral against melanoma cells: The involvement of oxidative stress generation and cell growth protein reduction by Larissa Juliani Sanches, Poliana Camila Marinello, Carolina Panis, Tatiane Renata Fagundes, José Andrés Morgado-Díaz, Julio Cesar Madureira de-Freitas-Junior, Rubens Cecchini, Alessandra Lourenço Cecchini, Rodrigo Cabral Luiz

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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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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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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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Stress and health education actions: promotion context of mental health at work by Adriano Rodrigues de Souza, Leila Memória Paiva Moraes, Maria Grasiela Teixeira Barros, Neiva Francenely Cunha Vieira, Violante Augusta Batista Braga

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