Investigating the Impacts of a Modified Mindfulness Practice on Minoritized College Students’ Chronic Stress by Midley Michaud, Maiya Evans, Rebecca Mendez, Jalena Zapanta, Anthony Trochez, Kala M. Mehta, Leticia Márquez-Magaña, Audrey Parangan-Smith

“…Mindfulness-based practices such as MBSR have a proven effective for stress reduction in college students. …”
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Ensuring the Efficiency and Effectiveness of Joint Clinical Assessment in National HTA Decision-Making: Insights from the 2024 CIRS Multi-Stakeholder Workshop by Ting Wang, Neil McAuslane

“…The study aimed at identifying key measures for an efficient and effective JCA process to enable national rollout. Methods: A survey was conducted with international pharmaceutical companies, followed by a multi-stakeholder workshop that expanded on the findings. …”
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Resources, Potentials and Academic Achievements of Students. Part 2. From Differentiation to Integration of Resources, Potentials and Academic Achievements of Students by L. Ya. Dorfman, A. Yu. Kalugin

“…The systematisation of the main positions of the formed model was performed in accordance with the problem and comparative analysis based on the inductive method.Results and scientific novelty. …”
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Ophthalmologists’ and patients’ perspectives on treatments for diabetic retinopathy and maculopathy in Vietnam: a descriptive qualitative study by Tunde Peto, Nathan Congdon, Lynne Lohfeld, Hoang Tran, Katie Curran, Van Thu Nguyen, Tung Thanh Hoang, Hue Thi Nguyen, Quan Nhu Nguyen, Catherine Dardis, Hoang Huy Tran, Anh Tuan Vu, Mai Quoc Tung

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Educating the digital generation: the role of virtual communities by E. M. Kharlanova, N. V. Sivrikova, S. V. Roslyakova, E. G. Chernikova

“…Methodology and research methods. The study was based on the cultural-historical theory by L. …”
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Exacerbating effects of circadian rhythm disruption on the systemic lupus erythematosus by Jing Wang, Qing Liu, Fang Zhou, Guangji Wang, Xuan Luo, Ning Wei, Luping Shen, Mo Han, Qixiang Zhang, Huanke Xu

“…We aimed to investigate the impact of circadian rhythms on immune function and inflammation and their contribution to SLE progression to lupus nephritis (LN).Methods This study retrospectively analysed the clinical characteristics and transcriptional profiles of 373 samples using bioinformatics and machine-learning methods. …”
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Physical activity and movement integrated into the second language teaching from an early age: a systematic review (Actividad física y movimiento integrados en la enseñanza de una... by Rosario Padial-Ruz, Raquel García-Molina, Gabriel González Valero, José Luis Ubago-Jiménez

“…   Background: the main objective of this paper is to analyse the effectiveness of physical activity and movement based intervention programmes for teaching and learning a second language (L2) in early childhood, also providing an overview of the current state of the art. …”
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The potential role of biomarkers CD28 and PF4 in the pathogenesis of idiopathic pulmonary fibrosis and their impact on the prognosis: an immune microenvironment analysis by Li Yan, Jiang-Han Li, Ai-Li Zhang, He Li, Bo Pang, De-Yang Meng, Qian Fu, Li-Juan Du, Yan Su

“…Additionally, biomarkers were identified, and a risk model was developed using Cox regression analysis, proportional hazards (PH) assumption testing, and machine learning methods. Patients with IPF were stratified into high- and low-risk cohorts. …”
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Development of an algorithm to improve on the National Early Warning Score 2 (NEWS2) system's accuracy in predicting critical outcomes using additional patient data and amendments... by Lynsey Threlfall, Chris Plummer, Edward Meinert, Cen Cong, Madison Milne-Ives

“…It is effective at reducing in-hospital mortality,1,2 facilitates effective communication between clinicians and enables timely interventions to improve patient outcomes, but NEWS2 has limited positive and negative predictive accuracy,3 particularly in predicting adverse events beyond 24 h.4The use of digital technologies in healthcare presents an opportunity to evaluate whether the inclusion of additional routinely collected variables, and/or changes in the use of existing data, would improve the predictive accuracy of an early warning score and, thus, reduce patient risk.1,5Older adults are particularly vulnerable to sudden changes in physiological status,6 but this group was not included in the development of NEWS2.7 Improved predictive accuracy in this growing population group could significantly improve patient outcomes.8 Methods and Methods: The project is a retrospective cohort study using ∼8 years (2017–2024) of anonymised patient data from the Newcastle upon Tyne Hospitals NHS Foundation Trust (NUTH). …”
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Investigating dimensions of instructor trust using the words of undergraduate STEM students by Kathy Zhang, Julia C. Gill, Tong Zhang, Lia Crowley, Juliette Bennie, Henry Wagner, Melanie Bauer, David Hanauer, Xinnian Chen, Mark J. Graham

“…IntroductionRecent work has shown that student trust in their instructor is a key moderator of STEM student buy-in to evidence-based teaching practices (EBTs), enhancing positive student outcomes such as performance, engagement, and persistence. …”
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Research Progress and Prospect of Green Infrastructure with Public Health Promotion Function by Tongyu LI, Junyi LIXU, Binxia XUE, Yan (USA) SONG

“…The main objectives are to systematically classify GI types, track the development of related research, and describe the positive and negative mechanisms by which GI affects public health.MethodsA systematic review approach modelled on the PRISMA guidelines is used to collect and analyze literature from multiple disciplines including medicine, environmental sciences, and architecture. …”
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A workplace organisational intervention to improve hospital nurses’ and physicians’ mental health: study protocol for the Magnet4Europe wait list cluster randomised controlled tria... by Peter Griffiths, Jonathan Drennan, Jackie Bridges, Luk Bruyneel, Jane Ball, Linda H Aiken, Douglas M Sloane, Anners Lerdal, Matthew McHugh, Herbert Smith, Anne Marie Rafferty, Reinhard Busse, Walter Sermeus, Julia Köppen, Lars E Eriksson, Kaat Siebens, Matthew D McHugh, Anne Scott, Ingeborg Strømseng Sjetne, Sydney Anstee, Peter Van Bogaert, Rikard Lindqvist, Linda Aiken, Douglas Sloane, Hans De Witte, Wilmar B Schaufeli, Hans De Witte, Simon Dello, Dorothea Kohnen, Claudia Bettina Maier, Lisa Smeds Alenius, Mary Del Guidice, Timothy Cheney, Claudia Maier, Joan Kleine, Elaine Lehane Vera McCarthy, Noeleen Brady, Monica Bukkøy Kjetland, Paul Van Aken, Danny Van Heusden

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Prior knowledge of anatomical relationships supports automatic delineation of clinical target volume for cervical cancer by Jialin Shi, Xiaoqian Mao, Youquan Yang, Shanfu Lu, Wei Zhang, Shuguang Zhao, Zhiyang He, Ziye Yan, Wei Liang

“…However, previous deep learning methods mainly focus on predicting CTV from CT images without considering the rich prior knowledge. …”
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Applying MLP-Mixer and gMLP to Human Activity Recognition by Takeru Miyoshi, Makoto Koshino, Hidetaka Nambo

“…The results of this study suggest that the performance of MLP-based models is positively correlated with the number of parameters. …”
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Detecting Misinformation: Identifying False News Spread by Political Leaders in the Global South by Valerie Wirtschafter, Frederico Batista Pereira, Natália Bueno, Nara Pavão, Jo˜ao Pedro Oliveira dos Santos, Felipe Nunes

“… We provide and examine an approach for detecting false stories that circulate as text and without hyperlinks, which are commonly found in the Global South. Our text-based approach relies on a combination of false stories identified by fact-checkers, supervised learning methods, natural language processing, and human review. …”
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Enhanced mask R-CNN for luminaire detection through brightness balancing and distribution-guided optimization in tunnels by Xiaoqiong Qin, Bintao Xu, Chenchen Wang, Lirui Liu, Linfu Xie, Rong Liu, Mingwei Hu, Xiangsheng Chen

“…Luminaire detection methods based on deep learning encounter challenges in tunnel luminaire detection due to the complex environment and unfavorable lighting conditions. …”
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DREAM3: network inference using dynamic context likelihood of relatedness and the inferelator. by Aviv Madar, Alex Greenfield, Eric Vanden-Eijnden, Richard Bonneau

“…Methods that learn regulatory associations based on unit-less metrics, such as Mutual Information, are attractive in that they scale well and reduce the number of free parameters (model complexity) per interaction to a minimum. …”
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Videomängude disain noortele täiskasvanutele. Psühholoogilise heaolu edendamine koosloome kaudu / Participatory Video Game Design for Young Adults: Enhancing Psychological Well-bei... by Taavi Varm

“…The methodology combines art-based action research, participatory design, and metacognitive learning into an integrated framework that enables safe, collaborative and meaningful exploration of mental health themes. …”
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Prospective Teachers’ Perceptions of Using Information and Communication Technologies in Biology Education: Insights from Some Colleges of Teacher Education in Ethiopia by Adane Sifer Besir, Getachew Sime Feyissa, Mulugeta Yayeh Worku, Girma Tilahun Yimer

“…The result shows PTs had a positive perception of ICTs, with significant differences based on gender and ICT experience (p < 0.05). …”
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Development of News Text Writing E-Module Designing The Concept of Differentiation for Senior High School Students by Aegustinawati Aegustinawati, Yeti Mulyati, Khaerudin Kurniawan

“…The data sources were teachers and students of grade XI grade XI high school. Based on the needs analysis data, the e-module was designed and developed, then validated by material experts, learning experts, media experts, and expert practitioners. …”
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