Decoding Sentiment in Online Communication: A Social Media Analysis of Fashion Companies by Karolina Mania, Monika Jedynak, Aneta Kuźniarska, Karolina Woszczyna

“…Sentiments were categorized into six groups: ambiguous statements, strong and weak negative statements, strong and weak positive statements, and neutral statements. Analysis was performed at sentence, document, and aspect levels, employing both lexicon-based methods and machine learning. …”
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Bedside teaching – insights into the medical student experience and likely impact on future role as clinical teacher by Catherine Uhomoibhi, Angela Kearns

“…All recognized important practices necessary to meet individual learning needs and highlighted the positive impact such experiences would have on their future role as educators. …”
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Multiple-level thresholding for breast mass detection by Xiang Yu, Shui-Hua Wang, Yu-Dong Zhang

“…On CBIS-DDSM, the proposed method achieved a detection sensitivity of 0.87 at 2.86 FPI (False Positive rate per Image), while the sensitivity reached 0.96 on INbreast with an FPI of only 1.29.…”
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Basic Psychological Needs and Psychological Well-Being Among Undergraduate Students in China: The Mediating Role of Autonomous Motivation and Academic Engagement by Li Y, Sueb R, Said Hashim K

“…Yan Li,1,2 Rosilawati Sueb,2 Khadijah Said Hashim2 1School of Language and Cultures, Youjiang Medical University for Nationalities, Baise, Guangxi, 533000 People’s Republic of China; 2Faculty of Education, Universiti Teknologi MARA, UITM Puncak Alam Campus, Puncak Alam, Selangor, 42300 MalaysiaCorrespondence: Rosilawati Sueb, Faculty of Education, Universiti Teknologi MARA, UITM Puncak Alam Campus, Puncak Alam, Selangor, 42300, Malaysia, Tel +60133631205, Email rosil334@uitm.edu.myPurpose: From the perspective of positive psychology, and based on Self-Determination Theory and Sustainable Happiness Theory, this study explores the relationship between basic psychological needs and psychological well-being among undergraduate students, as well as the mediating roles of autonomous motivation and academic engagement.Methods: A survey was conducted among 439 undergraduate students using the Basic Psychological Needs Scale, Learning Motivation Scale, Academic Engagement Scale, and Psychological Well-being Scale.Results: Basic psychological needs were significantly and positively correlated with undergraduate students’ psychological well-being. …”
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Using Simulation Games to Teach History to Students Using Paradigm of Cultural-Historical Psychology by A.M. Nurgaliyeva, K.A. Nourgaliev

“…The article highlights the search for methods to increase motivation and the development of students' subjectivity and positionality. …”
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Professional identity and its relationships with AI readiness and interprofessional collaboration. by Wafa'a Ta'an, Sadeq Damrah, Mohammed M Al-Hammouri, Brett Williams

“…The study highlights areas of development for healthcare managers and practitioners, such as AI interprofessional collaboration-based training, targeting both artificial intelligence domains and interprofessional collaboration components while preserving a positive professional identity.…”
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Understanding pre-service teachers' intention to adopt and use artificial intelligence in Nigerian inclusive classrooms by Olufemi Timothy Adigun, Olufemi Timothy Adigun, Faisat Adeniran Tijani, Cynthy K. Haihambo, Simasiku Limbo Enock

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Wearable Sensors and Computational Intelligence in Alpine Skiing Analysis by Ales Prochazka, Hana Charvatova

“…The integration of wearable sensors with artificial intelligence forms the base for analyzing physical activities through digital signal processing, numerical methods, and machine learning. …”
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從前瞻因應理論觀點探討翻轉教學策略應用 於退休準備課程在不同需求程度上之 教學成效 Exploring the Application of Flipped Teaching Strategies in Retirement Preparation Courses: An Analysis of Educational Effectiveness From... by 胡夢鯨 Menq-Jing Hwu, 施宇澤 Yu-Ze Shih, 劉霽瑈 Ji-Rou Liu, 陳雅雯 Ya-Wen Chen

“…The 11-week experimental course applied flipped teaching strategies such as pre-class reading, classroom discussions, self-directed learning, and field-based activities. Evaluation tools assessed outcomes across Goal Management, Risk Management, and Learning Management, using pre- and post-tests to validate learning efficacy in each module. …”
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A Hybrid Artificial Neural Network and Particle Swarm Optimization algorithm for Detecting COVID-19 Patients by Alla Ahmad Hassan, Tarik A Rashid

“…COVID-19 is spreading rapidly due to its high reliability transmissibility. Patients who test positive more often have mild to severe symptoms such as a cough, fever, raw throat, and muscle aches. …”
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A Novel Approach to Automated Mapping Subweekly Calving Front of Petermann Glacier (2016–2023)—Using Sentinel-2 Satellite Data and Segment Anything Model (SAM) by Daan Li, Liming Jiang, Shun Cai, Ronggang Huang, Xi Lu

“…Monitoring glacier calving fronts is critical for understanding ice dynamics and their response to climate change. However, existing methods of mapping ice calving front face limitations in temporal resolution and positional accuracy, hindering effective characterizations of rapid calving processes. …”
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COVID-19 Public Health Communication on X (Formerly Twitter): Cross-Sectional Study of Message Type, Sentiment, and Source by Sana Parveen, Agustin Garcia Pereira, Nathaly Garzon-Orjuela, Patricia McHugh, Aswathi Surendran, Heike Vornhagen, Akke Vellinga

“…Our study shows that audience engages with personal stories and positive messages the most. Our findings provide valuable guidance for social media-based public health campaigns in developing messages for maximum engagement.…”
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Developing a Family Medicine Program in Jordan: appraisal of trainees and trainers and final assessment outcomes [version 4; peer review: 2 approved] by Safiya Virji, Lana Alhalaseh, Benjamin Colton, David Spitaels, Jiskoot van Ewijk, Marleen, Amjad Al Shdaifat, Birgitte Schoenmakers

“…This article examines the development of a Family Medicine program in Jordan, focusing on challenges, methodologies, and outcomes. Methods The curriculum was developed through collaboration between Jordanian and European universities, emphasizing core family medicine principles, evidence-based practice, and local context. …”
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Developing a Family Medicine Program in Jordan: appraisal of trainees and trainers and final assessment outcomes [version 3; peer review: 2 approved] by Safiya Virji, Lana Alhalaseh, Benjamin Colton, David Spitaels, Jiskoot van Ewijk, Marleen, Amjad Al Shdaifat, Birgitte Schoenmakers

“…This article examines the development of a Family Medicine program in Jordan, focusing on challenges, methodologies, and outcomes. Methods The curriculum was developed through collaboration between Jordanian and European universities, emphasizing core family medicine principles, evidence-based practice, and local context. …”
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The mental health impact of COVID-19: the need for community interventions and collaboration for recovery by Nadarajah Rajeshkannan, Daya Somasundaram, Balachandran Kumarendran, Thirunavukarasu Kumanan, Ivan Dinesh Aloysius, Nalayini Sugirthan, Sivanantham Sasikumar, Nalayini Jegathesan

“… Background: Since 2019, the COVID-19 epidemic has spread across the world, affecting millions of individuals on physical, mental, and socioeconomic levels. Materials and methods: This qualitative study aims to map out the mental health consequences of the COVID-19 pandemic and suggest recovery strategies based on analyzing COVID-19 mental health and psychosocial impact-related comments on social/news media, participant’s observations, and participant action research. …”
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Hybrid CNN-Transformer Model for Accurate Impacted Tooth Detection in Panoramic Radiographs by Deniz Bora Küçük, Andaç Imak, Salih Taha Alperen Özçelik, Adalet Çelebi, Muammer Türkoğlu, Abdulkadir Sengur, Deepika Koundal

“…<b>Methods:</b> The proposed model combines YOLO (You Only Look Once) and RT-DETR (Real-Time Detection Transformer) models to leverage their strengths in real-time object detection and learning long-range dependencies, respectively. …”
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Exploring the Skills Prioritised in the Assessment of Students Pursuing Adult Nursing, Post‐COVID: A Qualitative Analysis by Carmel Bond, Joanna M. Painter, Donna Barnett

“…Relational aspects of care included values‐based attributes such as compassion and empathy. …”
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Optimizing Group Activity Recognition With Actor Relation Graphs and GCN-LSTM Architectures by M. R. Tejonidhi, C. V. Aravinda, S. V. Aruna Kumar, C. K. Madhu, A. M. Vinod

“…This is complemented by the development of an Actor Relation Graph (ARG) utilizing Zero Normalized Cross Correlation (ZNCC), which adeptly illustrates both appearance-based and positional relationships among participants. …”
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Impact of COVID-19 on the Psychological Well-Being of HealthCare Workers in India: A Systematic Review and Meta-analysis by Sujatha Shanmugasundaram, Elizabeth Halcomb, Elizabeth Bembridge, Marlen Orsina, Sarah Turner, Ritin Fernandez

“…A subgroup analysis demonstrated that the prevalence of stress was highest among doctors (70.9%), followed by other HCWs (52.3%) and lowest among nurses (38.8%). Based on the meta-analysis of all the articles included, there was a significant positive correlation between the prevalence of anxiety, depression, and stress with age, gender, and marital status. …”
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Is Artificial Intelligence a Game-Changer in Steering E-Business into the Future? Uncovering Latent Topics with Probabilistic Generative Models by Simona-Vasilica Oprea, Adela Bâra

“…Topic 2 (28.1%) explores AI and Machine Learning (ML) in web-based business, emphasizing customer service, innovation and workflow optimization. …”
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