Electromagnetic control and heat transfer enhancement in exothermic reactions experiencing current density: The study preventing thermal explosions in reactive flow by Gasmi Hatem, Akindele Akintayo Oladimeji, Obalalu Adebowale Martins, Usman Abdulazeez Adebayo, Khan Umair, Yilmaz Yalcin, Taiwo Musilimu, Hussain Syed Modassir, Nizampatnam Neelima

“…Our findings reveal that increased electric field conductivity significantly enhances the current density along the channel walls, driven by the combined effects of the Frank–Kamenetskii term and electric field loading. …”
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Self-Management Support for Cancer Survivors: A Descriptive Evaluation of the Symptom Navi Training from the Perspective of Health Care Professionals by Marika Bana, Selma Riedo, Karin Ribi

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Legal problems of water protection on the example of manufacturing enterprises as sewage disposal plants – current limitations and de lege ferenda remarks by Agnieszka Sznajder

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Progress towards the UNAIDS 2030 HIV prevention target in New South Wales, Australia: a population-based studyResearch in context by Phillip Keen, Steven J. Nigro, Curtis Chan, Benjamin R. Bavinton, Htein Linn Aung, Martin Holt, Rebecca Guy, Janaki Amin, Timothy R. Broady, Jane Costello, Anthony D. Kelleher, Carla Treloar, Rick Varma, Matthew Vaughan, Valerie Delpech, Andrew E. Grulich

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Antimicrobial Susceptibility Testing in <i>Chlamydia trachomatis</i>: The Current State of Evidence and a Call for More National Surveillance Studies by Sunčanica Ljubin-Sternak, Tomislav Meštrović

“…<i>Chlamydia trachomatis</i> (<i>C. trachomatis</i>) remains the most common bacterial sexually transmitted agent worldwide. Although current treatment regimens are highly effective, sporadic reports of reduced antimicrobial susceptibility and treatment failure raises concerns, especially in the context of increasing global antibiotic consumption and the well-documented rise of antimicrobial resistance (AMR) in other sexually transmitted pathogens. …”
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An interpretable machine learning tool for in-home monitoring of agitation episodes in people living with dementia: a proof-of-concept studyResearch in context by Marirena Bafaloukou, Ann-Kathrin Schalkamp, Nan Fletcher-Lloyd, Alex Capstick, Chloe Walsh, Cynthia Sandor, Samaneh Kouchaki, Ramin Nilforooshan, Payam Barnaghi

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Estimating cardiovascular effects of influenza vaccination in older adults: a target trial emulation using proximal causal inferenceResearch in context by Jinxin Guo, Tiansheng Wang, Zhike Liu, Weihong Zeng, Peng Shen, Yexiang Sun, Siyan Zhan, Yang Xu

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HVDC transformer insulation system: Present research, trends, challenges, and prospects by Muhammad Rafiq, Muhammad Shafique

“…High-voltage direct current (HVDC) has attained significant consideration owing to numerous valuable characteristics, for instance, lowest transmission losses, improved stability, and control operation. …”
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Nurse‒physician interprofessional collaboration in the context of expanding nursing practice in primary health care: A comparative qualitative study of Brazil and Germany by Cassiano Mendes Franco, Daria Bula, Beatriz Rosana Gonçalves de Oliveira Toso, Ligia Giovanella, Kerstin Hämel

“…Our study analyzes the current forms and prospects of nurse‒physician collaboration in the context of expanding nursing practice in PHC in Brazil and Germany. …”
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A Theoretical Evaluation in the Context of Actor-Network Theory (ANT) Approaches of Urban Regeneration Implementations: Case Study of Bağcılar District, Istanbul by Ayşegül Baghal, Candan Çinar Çitak

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Problems and prospects for livestock industry development in the context of digitalization of the agro-industrial complex in the region (based on the materials of the Republic of B... by Z. T. Nasretdinova, A. M. Khazieva, A. R. Nasretdinova

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Benefits and harms associated with the use of AI-related algorithmic decision-making systems by healthcare professionals: a systematic reviewResearch in context by Christoph Wilhelm, Anke Steckelberg, Felix G. Rebitschek

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Analysis of the Effect of Energy Consumption on Current Account Deficit Using Panel Data: Evidence from the Organization of the Black Sea Economic Cooperation by Emre Kılıç, Ersin Yavuz, Şevket Pazarcı, Alican Umut

“…Coefficient estimation results indicate that energy consumption in BSEC countries negatively affects current account deficit, indicating that increased energy consumption raises current account deficit. …”
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Antiviral efficacy of fluoxetine in early symptomatic COVID-19: an open-label, randomised, controlled, adaptive platform trial (PLATCOV)Research in context by Podjanee Jittamala, Simon Boyd, William H.K. Schilling, James A. Watson, Thundon Ngamprasertchai, Tanaya Siripoon, Viravarn Luvira, Elizabeth M. Batty, Phrutsamon Wongnak, Lisia M. Esper, Pedro J. Almeida, Cintia Cruz, Fernando R. Ascencao, Renato S. Aguiar, Najia K. Ghanchi, James J. Callery, Shivani Singh, Varaporn Kruabkontho, Thatsanun Ngernseng, Jaruwan Tubprasert, Wanassanan Madmanee, Kanokon Suwannasin, Amornrat Promsongsil, Borimas Hanboonkunupakarn, Kittiyod Poovorawan, Manus Potaporn, Attasit Srisubat, Bootsakorn Loharjun, Walter R.J. Taylor, Farah Qamar, Abdul Momin Kazi, M. Asim Beg, Danoy Chommanam, Sisouphanh Vidhamaly, Kesinee Chotivanich, Mallika Imwong, Sasithon Pukrittayakamee, Arjen M. Dondorp, Nicholas P.J. Day, Mauro M. Teixeira, Watcharapong Piyaphanee, Weerapong Phumratanaprapin, Nicholas J. White

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The Main Directions of Improving the Methodology for the Application of Advanced Information and Communication Technologies in the Statistical Activities of the Republic of Uzbekis... by I. E. Zhukovskaya

“…This article presents the main directions of improving the methodology of using advanced information and communication technologies in the statistical industry of the Republic of Uzbekistan in the context of the digitalization of the economy. In particular, it is shown that modern ICTs have a huge potential for global competitiveness and contribute to the growth of the country's economy.Currently, in the statistical industry of the Republic of Uzbekistan, a large number of statistical calculations and forecasts are carried out on the basis of the use of the advanced ICT, there is experience in organizing interaction between information systems (IS), operating in the State Committee of the Republic of Uzbekistan on Statistics (Goskomstat), however, in preparation for population census and the implementation of the National Program “Digital Uzbekistan – 2030”, there is a need to develop new methodological solutions, technologies, software products, innovative mechanisms for collecting, processing and providing reporting information to various categories of users based on the use of the advanced ICT.Purpose. …”
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Child abuse prevalence estimates in Canada; comparisons of nationally representative data from 2012 to 2022: a population-based studyResearch in context by Tracie O. Afifi, Julie-Anne McCarthy, Ana Osorio, Lauren MacGowan, Tamara L. Taillieu, Ashley Stewart-Tufescu, Jitender Sareen, Harriet L. MacMillan, Lil Tonmyr, Ian Colman, Mark A. Ferro, Kelly K. Anderson, Jordan Edwards

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From Living in the Shadows to Facebook Livestreams: The Impact of Social Media on Current Mediumship Practice of Mother Goddesses Worship (Đạo Mẫu) in Vietnam by Isabel Weitschies

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Current experience and future potential of facilitating access to digital NHS primary care services in England: the Di-Facto mixed-methods study by Gary Abel, Helen Atherton, Jon Sussex, Nurunnahar Akter, Abodunrin Q Aminu, Wiktoria Bak, Carol Bryce, Christopher E Clark, Emma Cockcroft, Hamish Evans, Evangelos Gkousis, Georgia Jenkins, Caroline Jenkinson, Nada Khan, Jeffrey Lambert, Brandi Leach, Christine Marriott, Jennifer Newbould, Sarah Parkinson, Jo Parsons, Emma Pitchforth, Laura Sheard, Stephanie Stockwell, Chloe Thomas, Bethan Treadgold, Rachel Winder, John L Campbell

“…Background Current National Health Service policy in England encourages enhanced digital access in primary care service provision. …”
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Can LLMs effectively assist medical coding? Evaluating GPT performance on DRG and targeted clinical tasks by Yeli Feng

“…Abstract Background Large language Models (LLM) have demonstrated near human-level performance in medical domain, from summarizing clinical notes and passing medical licensing examinations, to predictive tasks such as disease diagnoses and treatment recommendations. However, currently there is little research on their efficacy for medical coding, a pivotal component in health informatics, clinical trials, and reimbursement management. …”
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MFFCI&#x2013;YOLOv8: A Lightweight Remote Sensing Object Detection Network Based on Multiscale Features Fusion and Context Information by Sheng Xu, Lin Song, Junru Yin, Qiqiang Chen, Tianming Zhan, Wei Huang

“…Most current researches primarily focus on improving experimental accuracy using large models, often neglecting the deployment challenges. …”
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