Epilepsy is associated with the accelerated aging of brain activity in sleep by Peter N. Hadar, Mike Westmeijer, Mike Westmeijer, Haoqi Sun, Erik-Jan Meulenbrugge, Jin Jing, Luis Paixao, Ryan A. Tesh, Madalena Da Silva Cardoso, Pierrick Arnal, Rhoda Au, Chol Shin, Chol Shin, Soriul Kim, Robert J. Thomas, Sydney S. Cash, M. Brandon Westover

“…The BAI is a machine learning-based biomarker that measures how much the brain activity of a person during overnight sleep deviates from chronological age-based norms.MethodsThis case–control study drew information of age-matched controls without epilepsy from home sleep monitoring volunteers and from non-epilepsy patients with Sleep Lab testing. …”
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The impact of dynamic social norms messages on motivation to participate in organized colorectal cancer-screening programmes: evidence from an online experiment by Sandro Tiziano Stoffel, Sandro Tiziano Stoffel, Jie Gao, Yasemin Hirst, Christian Von Wagner

“…In a web-based experiment, we investigated whether highlighting a positive trend in the uptake of the English bowel cancer screening programme (BSCP) influences the intentions of men and women who initially had low intentions.MethodsWe recruited 1,194 men and women aged 25–49 who had no previous diagnosis of bowel cancer and no experience with the BSCP. …”
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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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Identifying effective factors on employee performance management with the approach of human resource development in research and technology organizations by Reza Shariati, Alireza Afshar Nejad, Maryam Majidi, Sirous Tadbiri

“…Research Findings In analyzing the data, the data-based method was used through coding and MAXQDA software in the qualitative part, and DEMITEL software was used in the quantitative part. …”
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Information and Communication Technology (ICT) Integration in Teaching English for Young Learners by Siska Oktawidya Wati, M. Zaim, Harris Effendi Thahar

“…So  it  can  be  concluded  that  the  use  of  ICT  media  in  early  childhood  English  learning  can  be  done  and  has  a  positive  impact  that  benefits  both  teachers and children.…”
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THE INFLUENCE OF KNOWLEDGE SHARING AND CREATIVE WORK ON INNOVATIVE BEHAVIOR by Bagas Rahman Gumelar, Anjelina Deliyanni

“…Based on the results, innovative knowledge sharing practices, positive and creative work climate, and innovative teacher behavior were significantly correlated. …”
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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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Beyond the current state of just-in-time adaptive interventions in mental health: a qualitative systematic review by Claire R. van Genugten, Claire R. van Genugten, Melissa S. Y. Thong, Melissa S. Y. Thong, Melissa S. Y. Thong, Wouter van Ballegooijen, Wouter van Ballegooijen, Wouter van Ballegooijen, Annet M. Kleiboer, Annet M. Kleiboer, Donna Spruijt-Metz, Arnout C. Smit, Mirjam A. G. Sprangers, Mirjam A. G. Sprangers, Yannik Terhorst, Yannik Terhorst, Heleen Riper, Heleen Riper, Heleen Riper

“…For future development, it is recommended that developers utilize complex analytical techniques that can handle real-or near-time data such as machine learning, passive monitoring, and conduct further research into empirical-based decision rules and points for optimization in terms of enhanced effectiveness and user-engagement.…”
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Alterations of gray matter volume and functional connectivity in patients with cognitive impairment induced by occupational aluminum exposure: a case-control study by Huaxing Meng, Bo Liu, Xiaoting Lu, Yan Tan, Shanshan Wang, Baolong Pan, Hui Zhang, Qiao Niu

“…Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA) and an auditory-verbal learning test (AVLT). All participants underwent magnetic resonance imaging scans. 3D T1-weighted anatomical images and resting-state functional magnetic resonance imaging data were acquired, and voxel-based morphometry and ROI-based FC were used for analysis. …”
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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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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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A LSTM-RNN-Assisted Vector Tracking Loop for Signal Outage Bridging by Di Liu, Qingyuan Xia, Changhui Jiang, Chaochen Wang, Yuming Bo

“…A simulation was designed and conducted based on an open-source Matlab GNSS software receiver; a dynamic trajectory with several temporary signal outages was designed for testing the proposed method. …”
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Advancing confidence and competence in junior doctors: specialist medicine weekend teaching programme by Sooraj Mannil, Masooma Hussain, Sonali Katti, Jay Patel, Latif Rahman

“…Subsequent results highlight the significant positive impact on participants’ confidence, knowledge and skills, reinforcing the value of structured training and support.Participants praised the programme's excellent curriculum, organisation and communication, especially valuing the practical knowledge and case-based discussions. …”
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Facilitators and barriers to implementation of early intensive manual therapies for young children with cerebral palsy across Canada by Divya Vurrabindi, Alicia J. Hilderley, Adam Kirton, John Andersen, Christine Cassidy, Shauna Kingsnorth, Sarah Munce, Brenda Agnew, Liz Cambridge, Mia Herrero, Eleanor Leverington, Susan McCoy, Victoria Micek, Keith O. Connor, Kathleen O’ Grady, Sandra Reist-Asencio, Chelsea Tao, Stephen Tao, Darcy Fehlings

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Information extraction from ultrawideband electromagnetic wave in near radiation zone by R. D. Akhmedov

“…The method is based on modern deep learning technics and recurrent neural networks, namely physical long short-term memory. …”
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Sport participation as an educational tool and a means of promoting physical, mental, and social well-being by Francesco Sgrò

“…Greco and colleagues (2024) presented the results of an empirical study which addressed the different effects of the same games-based protocols delivered in indoor and outdoor settings, highlighting the greater positive impact of the outdoor environment across all indicators considered. …”
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Features of the profession loss crisis in older teachers by E. E. Symanyuk, G. I. Borisov, A. A. Pecherkina, V. V. Saveliev

“…The features of the profession loss crisis were determined using the biographical method, which allowed the authors to consider the dynamic process of professional development and highlight the psychological characteristics of the crisis based on content analysis. …”
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Predicting ROS1 and ALK fusions in NSCLC from H&E slides with a two-step vision transformer approach by Eghbal Amidi, Mohammadreza Ramzanpour, Ming Chen, Tommy Boucher, Mukund Varma, Timothy Samec, Brian Lamon, Nicolas Stransky, Mark R. Miglarese, Matthew Oberley, David Spetzler, George W. Sledge

“…Here we employ deep learning models using whole slide images (WSIs) of hematoxylin and eosin (H&E)-stained formalin-fixed paraffin embedded (FFPE) NSCLC tumor specimens to identify tumors most likely to harbor ALK and ROS1 fusions in a cohort of 33,014 patients, out of which 306 and 697 patients are positive for ROS1 or ALK fusions, respectively. …”
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