Construction and development of Traditional Chinese Medicine nursing clinics (中医护理门诊建设和发展思路与方法) by FA Hua (樊华), YANG Jianying (杨剑英)

“…Surgery was conducted to investigate the patients’ need of healthcare service form Traditional Chinese Medicine nursing clinics, and outpatient service with characteristic of Traditional Chinese Medicine was established; A group of certified clinic nurses were recruited, and training and Learning plan was made to improve their professional competence of Traditional Chinese Medicine nursing; outpatient process and appraisal mechanism was developed for the continuous quality improvement; interventions were carried out to improve nursing service capacity and patient’s satisfaction. …”
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Advancing Horticultural Crop Loss Reduction Through Robotic and AI Technologies: Innovations, Applications, and Practical Implications by H. W. Gammanpila, M. A. Nethmini Sashika, S. V. G. N. Priyadarshani

“…In horticulture crop loss reduction, AI plays a vital role when coupled with machine learning algorithms. By analyzing extensive volumes of data encompassing weather patterns, soil conditions, and occurrences of pests and diseases, AI systems can provide farmers with real-time insights and predictive models. …”
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The Usability and Effect of a Novel Intelligent Rehabilitation Exergame System on Quality of Life in Frail Older Adults: Prospective Cohort Study by Chien-Hsiang Chang, Chun-Chun Wei, Wei-Chih Lien, Tai-Hua Yang, Bo Liu, Yimo Lin, Poh Thong Tan, Yang-Cheng Lin

“…Integrating retro-style exergame training into rehabilitation not only improved their rehabilitation motivation but also increased their learning, system operability, and willingness to continue rehabilitation. …”
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Formation of the Educational Trajectory: Educational Motives and Choices in the Narratives of Students from Moscow Leading Universities by A. V. Noskova, D. V. Goloukhova, E. I. Kuzmina

“…It is concluded that empirical knowledge about the motives and methods of shaping the educational trajectories of the current generation of students is necessary for the development of an effective social and educational environment of a modern university, focused on a student-centered approach to learning.…”
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Latest Advancements in Transcutaneous Electrical Nerve Stimulation (TENS) and Electronic Muscle Stimulation (EMS): Revisiting an Established Therapy with New Possibilities by Patel P, Green M, Tram J, Wang E, Murphy M, Abd-Elsayed AA, Chakravarthy K

“…Department of Pain Medicine, San Diego, CA, USA; 3UCLA David Geffen School of Medicine/VA, Los Angeles, CA, 90095, USA; 4Timothy Growth, Pain Management and Chiropractic Care, Smithtown, NY, USA; 5North Texas Orthopedics and Spine Center, Grapevine, TX, 76051, USA; 6University of Wisconsin School of Medicine and Public Health, Health Sciences Learning Center, Madison, WI, 53705, USACorrespondence: Maja Green, Chief Scientific Officer, NXTSTIM Inc., Department of Pain Medicine, 5362 Sweetwater Trails, San Diego, CA, 92130, USA, Email mgreen@nxtstim.comAbstract: Transcutaneous Electrical Nerve Stimulation (TENS) and Electronic Muscle Stimulation (EMS) are non-invasive therapies widely used for pain relief and neuromuscular adaptation. …”
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A hybrid CNN-Bi-LSTM model with feature fusion for accurate epilepsy seizure detection by Xiaoshuai Cao, Shaojie Zheng, Jincan Zhang, Wenna Chen, Ganqin Du

“…Methods A novel hybrid deep learning approach that combines feature fusion for efficient seizure detection is proposed in this study. …”
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Estimation of Prevalence of Hospital-Acquired Blood Infections among Patients Admitted at a Tertiary Hospital in Oman over a Period of Five Years: A Cross-Sectional Study by Marah El-Beeli, Yahya Al-Farsi, Abdullah Balkhair, Zakariya Al-Muharrmi, Mansoor Al-Jabri, Samir Al-Adawi

“…The study calls for the timely formulation and adoption of national HA-BSI screening and management programs centered on surveillance systems based on real-time analytics and machine learning.…”
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Efficient evidence selection for systematic reviews in traditional Chinese medicine by Yizhen Li, Zhe Huang, Zhongzhi Luan, Shujing Xu, Yunan Zhang, Lin Wu, Darong Wu, Dongran Han, Yixing Liu

“…Methods We integrated an established deep learning model (Evi-BERT combined rule-based method) with Boolean logic algorithms and an expanded retrieval strategy to automatically and accurately select potential evidence with minimal human intervention. …”
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Stress factors among physiotherapy students at a university in Gauteng, South Africa by Zander I. Collins, Chané Siepker, Kelebogile J. Ralehlaka, Boitshoko C. Molefe, Tiisetso C. Phala, Simphiwe A. Vilankulu, Makwena M. Sibuyi, Thembelihle S. Ntuli

“…Contribution: The study adds to the body of knowledge pertaining to the mental health of students at higher institutions of learning.…”
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Impact of short-term soil disturbance on cadmium remobilization and associated risk in vulnerable regions by Zhong Zhuang, Hao Qi, Siyu Huang, Qiqi Wang, Yanan Wan, Huafen Li

“…This study highlights the potential of hybrid data-driven approaches, combining machine learning, mechanistic model and stochastic prediction to simplify the complex environmental process, allowing for integrated risk evaluations.…”
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A two-tier optimization strategy for feature selection in robust adversarial attack mitigation on internet of things network security by Kashi Sai Prasad, P Udayakumar, E. Laxmi Lydia, Mohammed Altaf Ahmed, Mohamad Khairi Ishak, Faten Khalid Karim, Samih M. Mostafa

“…Numerous research works were keen to project intelligent network intrusion detection systems (NIDS) to avert the exploitation of IoT data through smart applications. Deep learning (DL) models are applied to perceive and alleviate numerous security attacks against IoT networks. …”
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A Dynamic Cascade Cross-Modal Coassisted Network for AAV Image Object Detection by Shu Tian, Li Wang, Lin Cao, Lihong Kang, Xian Sun, Jing Tian, Xiangwei Xing, Bo Shen, Chunzhuo Fan, Kangning Du, Chong Fu, Ye Zhang

“…To address this issue, we propose a dynamic cascade cross-modal coassisted network, which integrates multimodal images fusion and fine-grained feature learning to generate powerful object semantic representations. …”
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Strategies to Improve the Quality and Freshness of Human Bone Marrow-Derived Mesenchymal Stem Cells for Neurological Diseases by Da Yeon Lee, Sung Eun Lee, Do Hyeon Kwon, Saraswathy Nithiyanandam, Mi Ha Lee, Ji Su Hwang, Shaherin Basith, Jung Hwan Ahn, Tae Hwan Shin, Gwang Lee

“…As studies on the traditional characteristics of hBM-MSCs before transplantation into the brain are very limited, omics and machine learning approaches are needed to evaluate cell conditions with indepth and comprehensive analyses. …”
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Refreshing medical students’ intravenous-cannulation skills: a blinded observer three-arm randomised comparison of mental imagery, part-task trainer simulation and written instruct... by Robert Greif, Joana Berger-Estilita, Rafael Blülle, Daniel Stricker, Mathias Balmer, Christoph Berendonk

“…Six months after their compulsory 4 hour instructor-led intravenous-cannulation course, each student was randomised to a 6 min self-learning tutorial: a mental imagery audioguide session, hands-on intravenous cannulation on a part-task trainer or reading written instructions.Immediately after the refresher tutorials, trained evaluators who were blinded to the randomised group assessed the students’ performance. …”
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Psychological distress in adolescence and later economic and health outcomes in the United States population: A retrospective and modeling study. by Nathaniel Z Counts, Noemi Kreif, Timothy B Creedon, David E Bloom

“…<h4>Methods and findings</h4>This analysis estimated the relationship between psychological distress in those aged 15 to 17 years in 2000 and economic and health outcomes approximately 10 years later, accounting for an array of explanatory variables using machine learning-enabled methods. The cohort was from the National Longitudinal Study of Youth 1997 and nationally representative of those aged 12 to 18 years in 1997. …”
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A Collaborative and Scalable Geospatial Data Set for Arctic Retrogressive Thaw Slumps with Data Standards by Yili Yang, Heidi Rodenhizer, Brendan M. Rogers, Jacqueline Dean, Ridhima Singh, Tiffany Windholz, Amanda Poston, Stefano Potter, Scott Zolkos, Greg Fiske, Jennifer Watts, Lingcao Huang, Chandi Witharana, Ingmar Nitze, Nina Nesterova, Sophia Barth, Guido Grosse, Trevor Lantz, Alexandra Runge, Luigi Lombardo, Ionut Cristi Nicu, Lena Rubensdotter, Eirini Makopoulou, Susan Natali

“…While numerous RTS studies have published standalone digitisation datasets, the lack of a centralised, unified database has limited their utilisation, affecting the scale of RTS studies and the generalisation ability of deep learning models. To address this, we established the Arctic Retrogressive Thaw Slumps (ARTS) dataset containing 23,529 RTS-present and 20,434 RTS-absent digitisations from 20 standalone datasets. …”
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Awareness and Attitude Toward Artificial Intelligence Among Medical Students and Pathology Trainees: Survey Study by Anwar Rjoop, Mohammad Al-Qudah, Raja Alkhasawneh, Nesreen Bataineh, Maram Abdaljaleel, Moayad A Rjoub, Mustafa Alkhateeb, Mohammad Abdelraheem, Salem Al-Omari, Omar Bani-Mari, Anas Alkabalan, Saoud Altulaih, Iyad Rjoub, Rula Alshimi

“…Students agreed that they need to learn about AI’s applications, potential hazards, and legal and ethical implications. …”
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In Silico Evaluation of Algorithm-Based Clinical Decision Support Systems: Protocol for a Scoping Review by Michael Dorosan, Ya-Lin Chen, Qingyuan Zhuang, Shao Wei Sean Lam

“…The study’s findings will be published and presented in forums combining artificial intelligence and machine learning, clinical decision-making, and health technology impact analysis. …”
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Accurate identification of snoRNA targets using variational graph autoencoder to advance the redevelopment of traditional medicines by Zhina Wang, Zhina Wang, Yangyuan Chen, Hongming Ma, Hongming Ma, Hong Gao, Hong Gao, Yangbin Zhu, Hongwu Wang, Nan Zhang, Nan Zhang

“…The model reconstructs snoRNA-disease graphs by learning snoRNA and disease representations, accurately identifying potential snoRNA therapeutic targets. …”
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Construction and validation of risk prediction models for renal replacement therapy in patients with acute pancreatitis by Fei Zuo, Lei Zhong, Jie Min, Jinyu Zhang, Longping Yao

“…Using these features, four machine learning (ML) algorithms were developed. The optimal model was visualized and clarified using SHapley Additive exPlanations (SHAP) and presented as a nomogram. …”
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