Chinese outbound tourism: between state control and autonomous individual travel. The case of honeymoons in France by Marine L’Hostis, Maxime Dejean

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Investigation of groundwater quality indices and health risk assessment of water resources of Jiroft city, Iran, by machine learning algorithms by Sobhan Maleky, Maryam Faraji, Majid Hashemi, Akbar Esfandyari

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Analysis of an intergenerational service-learning experience based on physical exercise in a community setting: a mixed-method study by Beatriz Alonso-Cortés Fradejas, Raquel Lafuente-Ureta, Sandra Calvo, Sandra Calvo, Mario Fernández-Gorgojo, Jose Lesmes Poveda-López, Carolina Jiménez-Sánchez, Carolina Jiménez-Sánchez

“…Universities play a key role in promoting the health of students by proposing actions that contribute to a sustainable future, fostering a mature society and reducing ageism. This service-learning project aimed to assess the impact of an intergenerational cane-walking program on older adults and physiotherapy students in a community setting. …”
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The impact of teacher emotional support on learning engagement among college students mediated by academic self-efficacy and academic resilience by Wenjing Guo, Juan Wang, Na Li, Luxin Wang

“…Abstract College students’ learning engagement not only significantly influences their academic performance but also plays a vital role in their future career development. …”
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Rapid diagnosis of bacterial vaginosis using machine-learning-assisted surface-enhanced Raman spectroscopy of human vaginal fluids by Xin-Ru Wen, Jia-Wei Tang, Jie Chen, Hui-Min Chen, Muhammad Usman, Quan Yuan, Yu-Rong Tang, Yu-Dong Zhang, Hui-Jin Chen, Liang Wang

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Learning from our vulnerabilities: Insights from Octavia E. Butler’s parable of the sower and West Sumatra’s 2024 flood disasters by Sandika Edria, Rizano Gindho, Yeni Marliza

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Machine Learning–Based Risk Factor Analysis and Prediction Model Construction for the Occurrence of Chronic Heart Failure: Health Ecologic Study by Qian Xu, Xue Cai, Ruicong Yu, Yueyue Zheng, Guanjie Chen, Hui Sun, Tianyun Gao, Cuirong Xu, Jing Sun

“… BackgroundChronic heart failure (CHF) is a serious threat to human health, with high morbidity and mortality rates, imposing a heavy burden on the health care system and society. With the abundance of medical data and the rapid development of machine learning (ML) technologies, new opportunities are provided for in-depth investigation of the mechanisms of CHF and the construction of predictive models. …”
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Evaluating the impact of ESICM 2023 guidelines and the new global definition of ARDS on clinical outcomes: insights from MIMIC-IV cohort data by Duanhong Song, Qingquan Chen, Shangbin Huang, Shengxun Qiu, Zeshun Chen, Yuanhang Cai, Yifu Zeng, Xiaoyang Chen, Yixiang Zhang

“…Abstract Background In 2023, the European Society of Intensive Care Medicine (ESICM) recommended updated criteria for acute respiratory distress syndrome (ARDS). …”
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Training information service specialists in the less favoured regions of the European Union (TRAIN-ISS) by I. Owens, F. Wood, T.D. Wilson, A.M.R. Correia

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Walk the Talk: The Impact of Health Promotion and Wellness Curriculum on Wellness, Motivation, Learning, and Academic Success in Pre-Service Fitness and Health Professionals by Erin Dancey, Heather Harrison, Michael Williams-Bell

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First-principles based data-driven strain engineering for ferroelectrics via active machine learning: A nonlinear piezoelectric constitutive equation by Susumu MINAMI, Yasuaki MARUYAMA, Yoshimasa ABE, Tomohiro NAKAYAMA, Takahiro SHIMADA

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Spatial and social relevance perceptions by pre-service teachers of learning about oil palm management as a local or nonlocal socioscientific issue by Finn Kristen Matthiesen, Gina Nolte, Finn Rehling, I Gede Arjana, Lola Utama Sitompul, Upik Yelianti, Susanne Bögeholz, Susanne Bögeholz

“…Utility value is a specific construct of perceived relevance, which refers to the usefulness of learning about objects for a person's life, profession, and society. …”
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Deepfake detection models and methods in artificial intelligence and ‎insights from media and social culture perspective by Soheil Fakheri, Azamossadat Nourbakhsh, Mohammadreza Yamaghani

“…Purpose: This study explores the phenomenon of deepfakes as a consequence of rapid advancements in artificial intelligence, machine learning, and deep learning technologies over the past decade. …”
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Accurate Modeling of GaN HEMTs Oriented to Analysis of Kink Effects in S₂₂ and h₂₁: An Effective Machine Learning Approach by Zegen Zhu, Gianni Bosi, Antonio Raffo, Giovanni Crupi, Jialin Cai

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Action-Oriented Study Circles Facilitate Efforts in Nursing Homes to “Go from Feeding to Serving”: Conceptual Perspectives on Knowledge Translation and Workplace Learning by Albert Westergren

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“You Learn So Much from Reading for Pleasure”: Exploring a Reading for Pleasure Pedagogy Impact on Pre-Service Teachers’ Literate Identities by Katherine Price, Alyson Simpson

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What makes health systems resilient? An analytical framework drawing on European learnings from the COVID-19 pandemic based on a multitiered approach by Thomas Czypionka, Markus Kraus, Miriam Reiss, Monika Riedel

“…In the face of a shock, adequate response strategies need to be developed. An essential learning from the COVID-19 pandemic has been that contextual factors of societies and subgroups play a major role in the ability of health systems to overcome a shock, as they impact the implementation and effectiveness of crisis management policies.…”
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Education of the Post-Industrial Era: Setting on Person and Intelligence by O. K. Krokinskaya

“…But if students are offered well-organized research practices instead of imitations of scientific work, then they form the true key competencies necessary for modern society – a willingness to be in search, continuously learn and create new solutions for new tasks, contribute to the development of good conceptual language, cooperation in group work, courage in posing problems, readiness to work with complex problems. …”
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TOWARDS IMPLEMENTATION OF INNOVATIVE METHODOLOGIES IN CONSTRUCTION ENGINEERING IN CHILE. A CASE STUDY by PEDRO MUÑOZ, VIVIANA LETELIER, LUMINITA BIBIRE, LUIS MUÑOZ

“… The demands of society are changing rapidly, which in turn enhances the need to prepare qualified professionals with up-dated skills and competencies. …”
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Data-Driven Approach for the Prediction of In Situ Gas Content of Deep Coalbed Methane Reservoirs Using Machine Learning: Insights from Well Logging Data by Qian Zhang, Shuheng Tang, Songhang Zhang, Zhaodong Xi, Tengfei Jia, Xiongxiong Yang, Donglin Lin, Wenfu Yang

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