The Japanese Critical Care Nutrition Guideline 2024 by Kensuke Nakamura, Ryo Yamamoto, Naoki Higashibeppu, Minoru Yoshida, Hiroomi Tatsumi, Yoshiyuki Shimizu, Hiroo Izumino, Taku Oshima, Junji Hatakeyama, Akira Ouchi, Rie Tsutsumi, Norihiko Tsuboi, Natsuhiro Yamamoto, Ayumu Nozaki, Sadaharu Asami, Yudai Takatani, Kohei Yamada, Yujiro Matsuishi, Shuhei Takauji, Akihito Tampo, Yusuke Terasaka, Takeaki Sato, Saiko Okamoto, Hideaki Sakuramoto, Tomoka Miyagi, Keisei Aki, Hidehito Ota, Taro Watanabe, Nobuto Nakanishi, Hiroyuki Ohbe, Chihiro Narita, Jun Takeshita, Masano Sagawa, Takefumi Tsunemitsu, Shinya Matsushima, Daisuke Kobashi, Yorihide Yanagita, Shinichi Watanabe, Hiroyasu Murata, Akihisa Taguchi, Takuya Hiramoto, Satomi Ichimaru, Muneyuki Takeuchi, Joji Kotani

“…All GRADE-based recommendations, good practice statements (GPS), future research questions, and answers to background questions were finalized by consensus using the modified Delphi method. …”
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Navigating Ethical Dilemmas Of Generative AI In Medical Writing by Qurrat Ulain Hamdan, Waleed Umar, Mahnoor Hasan

“…Generative AI in Medical Writing Generative AI tools or “chatbots” combine the adaptive learning capabilities of deep learning algorithms and natural language processing, resulting in a virtual assistant or aide that is capable of answering queries, following commands, and improving its responses according to the vast data available on the Internet in addition to user responses.3 This has allowed the accomplishment of various complex tasks within seconds that would otherwise require hours of trial and error. …”
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Affordable Condominium Housing by Rosa Elena Donoso Gomez

“…In Ecuador, the law does not provide a definitive answer on when a homeowner’s association should be established. …”
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Consequences, costs and cost-effectiveness of workforce configurations in English acute hospitals by Peter Griffiths, Christina Saville, Jane Ball, David Culliford, Jeremy Jones, Francesca Lambert, Paul Meredith, Bruna Rubbo, Lesley Turner, Chiara Dall’Ora

“…Our study used existing data from national reports and daily staffing data from hospital wards to answer some of the main uncertainties from past research. …”
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Validación de una encuesta de opinión sobre la eficacia de la simulación para participantes by Aida Camps-Gómez, Anna González-Fernández, Jennifer Morata-Serrano, Katherina M. Faundez-Inostroza, Carmen Gomar-Sancho, Marina Mateu-Capell

“…Results: After the process, a final survey was obtained with 24 questions with answers from 4 ordinal categorical categories, which shows a unidimensional internal structure of 71.1% of the total variance. …”
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探討強化學習演算法之素材推薦機制與AI學習履歷之學習者感知 Learner Perceptions of AI-Powered Learning Portfolios and Personalized Material Recommendation Mechanisms in Reinforcement Learning Algorithms... by 曾建維 Jian-Wei Tzeng, 黃天麒 Tien-Chi Huang, 薛承祐 Cheng-Yu Hsueh, 廖英淞 Ying-Song Liao

“…., watching videos and answering practice questions) and the generation of learning processes that can be viewed by learners. …”
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Providing a development model for the effectiveness of persuasive advertising in social networks by Hamzeh Hessani Khabr, Payam Paslari, Mehdi Bagheri, Saeed Muradpour

“…Finally, this research also answers the main question: How to provide a development model for the effectiveness of persuasive advertising in social networks?…”
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Connaissances, attitudes et pratiques des prescripteurs sur l’antibiothérapie et la résistance aux antibiotiques dans la région de la Kara au Togo en 2024 by Séwa Kokou, Mébiny-Essoh Agballa Tchalla Abalo, Rébecca Kinde, Somiabalo Payakissim Atèkpè, Abalo Mazamesso Palanga, Bassotom Lakougnon, Ditorguéna Bassokla Wasungu, Lawaratou Okotan, Zakariaou Bouraïma, Nounguéboame Douti, Kossi Kamékpo, Mabinou Yékplé, Améto Adzo Kogbetsè, Kamaloudine Kpékpassi, Léname Bounti, Barema Redah, Koudjo Elom Adanlekponsi, Mawaba Peleke Hilim, Akawulu N’Djao, Dzidzova Amenyido Nyameko, Yenduban Douti, Aboudramane Lambonkale, Koffi Akolly, Monfaye Sabi, Sibabe Agoro, Koumavi Didier Ekouevi

“…CAPs were deemed adequate for 80%, 50% and 80% of correct answers, respectively. The results are presented as proportions with 95% confidence intervals (95% CI) and as medians with interquartile ranges (IQR). …”
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Exploring voluntary sector specialist services for victim-survivors of sexual violence in England: the PROSPER co-production study by Caroline Bradbury-Jones, Sarah Damery, Kirsten Fruin, Clare Gunby, Jenny Harlock, Lucy Hebberts, Louise Isham, Anne-Marie Jones, Fay Maxted, Amelia Mighty, Priti Parmar, Laura Patterson, Jason Schaub, Fee Scott, Harriet Smailes, Debs Smith, Julie Taylor

“…This research tried to answer these questions by speaking with people who provide the funding, people who work in the services and people who use the services. …”
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Clinical and cost-effectiveness of detailed anomaly ultrasound screening in the first trimester: a mixed-methods study by Jehan N Karim, Helen Campbell, Pranav Pandya, Edward C F Wilson, Zarko Alfirevic, Trish Chudleigh, Elizabeth Duff, Jane Fisher, Hilary Goodman, Lisa Hinton, Christos Ioannou, Edmund Juszczak, Louise Linsell, Heather L Longworth, Kypros H Nicolaides, Anne Rhodes, Gordon Smith, Basky Thilaganathan, Jim Thornton, Gillian Yaz, Oliver Rivero-Arias, Aris T Papageorghiou

“…We conducted several studies to answer this question. First, we reviewed the experiences of hospitals who already offer this early scan. …”
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Contextual Vulnerability Should Guide Fair Subject Selection in Xenotransplantation Clinical Trials by Gianna Strand

“…[xlvii] Potential subjects enrolled in upcoming xenograft research must be selected for their ability to answer the scientific objectives of a proposed study and must have the capacity to provide freely given informed consent within a fair research environment. …”
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Enhanced recovery pathway for older people with hip fracture and cognitive impairment in acute hospitals: the PERFECTED research programme including an RCT by Chris Fox, Simon P Hammond, Lee Shepstone, Fiona Poland, Catherine Henderson, Tamara Backhouse, Bridget Penhale, Simon Donell, Martin Knapp, Douglas Lewins, Alasdair MacLullich, Martyn Patel, Opinder Sahota, Toby O Smith, Justin Waring, Jane L Cross

“…The process evaluation found patients and carers unable to comment on receiving the intervention, so did not assist in answering questions about PERFECT-ER implementation. …”
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Assessment of the Difficulty Level of Science Questions Using the TIMSS Question Semantic Evaluation for Grade IV Elementary School Students by Muhammad Romli, Ida Bagus Putu Arnyana, I Wayan Suastra

“…The semantic difficulty level of TIMSS questions is determined based on the percentage of correct answers from students, and the question difficulty level is calculated using the percentage of correct answers from the entire student sample. …”
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An Interactive Framework for Personalized Navigation Based on Metacosmic Cultural Tourism and Large Model Fine-Tuning by Hang Guo, Zhiqiang Liu, Chuanqian Tang, Xiaodan Zhang

“…With the wide application of large language models (LLMs) and the rapid growth of metaverse tourism demand, the digital tour and personalized interaction of historical sites have become the key to improving users’ digital travel experience. …”
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Assessing ChatGPT-4’s performance on the US prosthodontic exam: impact of fine-tuning and contextual prompting vs. base knowledge, a cross-sectional study by Mahmood Dashti, Farshad Khosraviani, Tara Azimi, Delband Hefzi, Shohreh Ghasemi, Amir Fahimipour, Niusha Zare, Zohaib Khurshid, Syed Rashid Habib

“…The aim is to determine whether fine-tuning improves the AI’s accuracy in answering specialized questions. …”
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Artificial Intelligence-Based Large Language Models Can Facilitate Patient Education by Xochitl Bryson, BA, Marleni Albarran, BS, Nicole Pham, MPH, Arianne Salunga, DO, Taylor Johnson, MD, MPH, Grant D. Hogue, MD, Jaysson T. Brooks, MD, Kali R. Tileston, MD, Craig R. Louer, MD, Ron El-Hawary, MD, Meghan N. Imrie, MD, James F. Policy, MD, Daniel Bouton, MD, Arun R. Hariharan, MD, Sara Van Nortwick, MD, Vidyadhar V. Upasani, MD, Jennifer M. Bauer, MD, Andrew Tice, MD, John S. Vorhies, MD

“…AI and professional society websites were equally likely to generate answers with which the expert panel disagreed. Key Concepts: (1) Large language models (LLMs) are increasingly used for generating medical information online, necessitating an evaluation of their accuracy and effectiveness compared with traditional sources. (2) An expert panel of physicians compared artificial intelligence (AI)-generated answers with professional society–authored answers to pediatric scoliosis frequently asked questions, finding that both types of answers were equally favored in terms of accuracy and appropriateness. (3) The panel reported a similar rate of disagreement with AI-generated and professional society–generated answers, indicating that both had areas of controversy. (4) Over half of the expert panel members felt they could distinguish between AI-generated and professional society–generated answers but this did not relate to their preferences. (5) While AI can support medical information dissemination, further research and improvements are needed to address its limitations and ensure high-quality, accessible patient education. …”
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Protecting the Autonomy of Patients with Severe Mental Illness Through Psychiatric Advance Directive Peer-Facilitation by Nicholas Karasik

“… Photo by 168502358© Designer491|Dreamstime.com ABSTRACT Psychiatric Advance Directives (PADs) can protect the autonomy of those living with severe mental illness (SMI) and improve their treatment outcomes. However, their uptake is low for several documented reasons. …”
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Some Problems of Political Socialization of the Youth in a Mirror of Empirical Research in a Mirror of Empirical Research by Ilija Viktorovich Strelnikov

“…Recommendations about improvement of educational policy with youth are formulated.…”
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The feasibility of using generative artificial intelligence for history taking in virtual patients by Yongjin Yi, Kyong-Jee Kim

“…The chatbot generated 96 pairs of questions and answers, totaling 1,325 words in 177 sentences. Discourse analysis of the scripts revealed that 2.6% (34) of the words generated by the chatbot were deemed implausible and were categorized into inarticulate answers, hallucinations, and missing important information. …”
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A Multimodal Deep Learning Approach for Legal English Learning in Intelligent Educational Systems by Yanlin Chen, Chenjia Huang, Shumiao Gao, Yifan Lyu, Xinyuan Chen, Shen Liu, Dat Bao, Chunli Lv

“…The user study further verified the system’s practical effectiveness in real teaching environments, with learners’ understanding improvement reaching 0.78, expression improvement reaching 0.75, and satisfaction score reaching 0.88, significantly outperforming traditional teaching methods and unimodal systems. …”
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