The effect of implementation leadership training for nursing informal leaders in the evidence-based practice by Xueyan Huang, Can Wang, Lumeng Lu, Jianao Chen, Rui Wang, Ying Feng, Yuhong Dong, Haifang Zhou

“…BackgroundImplementation leadership is important for the successful implementation of evidence-based practice (EBP). Informal leaders, who are important promoters of EBP in nursing in the current healthcare system, can affect nursing management, organizational effectiveness, and cultural quality positively. …”
Get full text

Multi-targets device-free localization based on sparse coding in smart city by Min Zhao, Danyang Qin, Ruolin Guo, Guangchao Xu

“…In order to satisfy the practical localizing application in smart city, an efficient multi-target device-free localization method is proposed based on a sparse coding model. …”
Get full text

DEVELOPMENT OF MOTIVATIONAL POTENTIAL OF COLLEGE STUDENTS IN THE CONTEXT OF FOREIGN LANGUAGE ACQUISITION by Galina Marakhovskaya, Anna Kobysheva

Get full text

Exploring medical error taxonomies and human factors in simulation-based healthcare education. by Tamara Skrisovska, Daniel Schwarz, Martina Kosinova, Petr Stourac

“…It seeks to identify the key characteristics of the most suitable taxonomy for use in high-fidelity simulation-based postgraduate courses in Critical Care. While many taxonomies are available, none seem to be explicitly designed for the unique context of healthcare simulation-based education, in which errors are regarded as essential learning opportunities. …”
Get full text

Research Progress on Vehicle Status Information Perception Based on Distributed Acoustic Sensing by Wenqiang Dong, Xin Cheng, Jingmei Zhou, Wei Liu, Jianjin Gao, Chuan Hu, Xiangmo Zhao

“…Although deep learning achieves high classification accuracy and low latency, its generalization capability remains limited. …”
Get full text

Use of evidence-based health professions education: Attitudes and practices of academic leaders. by Shazia Nawabi, Rida Fatima Waseem, AbdulAziz Binrayes, Ayman Moaz Abulhamael, Zaina Ahmad, Kiran Imtiaz Khan, Syed Rashid Habib, Muhammad Qasim Javed

“…<h4>Purpose</h4>The objective of this study was to explore the attitudes, practices, supports, and barriers of academic leaders regarding the use of Evidence-Based Health Professional Education (EBHPE).<h4>Methods</h4>A cross-sectional survey was conducted on 79 faculty members in leadership positions, from four different undergraduate colleges at Qassim University. …”
Get full text

Outdoor Clothing Design for Traffic Safety Based on Big Data and Artificial Intelligence by Ya Zhou, Yun Shi

“…In this context, this article studies traffic safety outdoor clothing design based on big data (BD) and AI. This article introduces the design method of outdoor safety clothing for traffic based on BD and machine learning in artificial intelligence (AI) and did two experiments. …”
Get full text

The effect of literacy-based rhythmic gymnastics on motor skills and comprehension in first graders by Bustanol Arifin, Laura Salsabilla, Heru Wardana Yoga, Beti Istanti Suwandayani

“…Using a qualitative observational approach, the research highlights how this innovative learning method combines rhythmic movements with educational songs and stories, creating a holistic educational experience. …”
Get full text

Enhancing the reliability and accuracy of wireless sensor networks using a deep learning and blockchain approach with DV-HOP algorithm for DDoS mitigation and node localization by Bhupinder Kaur, Deepak Prashar, Leo Mrsic, Ahmad Almogren, Ateeq Ur Rehman, Ayman Altameem, Seada Hussen

“…The remedy to these challenges in this work is a solution based on deep learning integrated with a blockchain-aided distance-vector hop (DV-HOP) localization algorithm for reliable and secure node localization. …”
Get full text

Integrating Street View Images, Deep Learning, and sDNA for Evaluating University Campus Outdoor Public Spaces: A Focus on Restorative Benefits and Accessibility by Tingjin Wu, Deqing Lin, Yi Chen, Jinxiu Wu

“…This study applied the semantic segmentation technique of the deep learning model to extract the feature indicators of outdoor public space based on street view image (SVI) data. …”
Get full text

Machine Learning Clinical Decision Support for Interdisciplinary Multimodal Chronic Musculoskeletal Pain Treatment: Prospective Pilot Study of Patient Assessment and Prognostic Pro... by Fredrick Zmudzki, Rob J E M Smeets, Jan S Groenewegen, Erik van der Graaff

“…New summary indicators were developed, including defined categories for positive, negative, and mixed prognostic profiles; an accuracy indicator with high, medium, and low levels based on weighted true- or false-positive values; and an indicator for consistently positive or negative outcomes. …”
Get full text

Using the fused graphical lasso to explore the motivational self-system after a multimedia self-regulated learning training: a brief research report by Sarah M. Wolff, Jonathan C. Hilpert, Matthew L. Bernacki, Matthew L. Bernacki, Jeffrey A. Greene, Christy Strong

“…While these findings suggest meaningful differences in motivational structures, the relatively small sample size may limit the stability of the estimated network models. The SRL strategy based interventions may have positioned the students motivationally to approach the challenging exam through activating the role of value and self-efficacy in their learning.DiscussionMany of the ways analyses of typical intervention studies are conducted ignore the underlying complexity of what motivates individuals. …”
Get full text

How leader–member exchange affects university teachers’ scholarship of teaching and learning performance: a comprehensive analysis of psychological capital, LMX differentiation, an... by Jiashuai Fang, Jiashuai Fang, Qian Zhang, Peiya Rao, Guanghua Ouyang

“…This study examines how leader-member exchange (LMX) affects university teachers’ SoTL performance, considering psychological capital as a mediator and LMX differentiation and traditionality as moderators.MethodsBased on social exchange theory, resource conservation theory, and social comparison theory, this study developed a cross-level three-order regulatory moderated mediation model. …”
Get full text

Developing student worksheet for inquiry-based chemistry to improve scientific process skills by Rahmat Rasmawan

“…The study used the Brog Gall Research and Development research method. The student worksheet contained the stages of learning activities consisting of formulating problems, gathering relevant information, formulating hypotheses, making variables and operational definition based on the work procedures, experimenting, communicating experimental data in tabular or graphic form, analyzing data, and formulating conclusion. …”
Get full text

Artificial intelligence-based model for diagnosing Helicobacter pylori in whole-slide images by Kehan Teng, Lihua Ren, Xiaoyu Yan, Yawei Duan, Zhe Chen, Hansheng Li, Lihua Zhang, Lei Cui

“…We aimed to use artificial intelligence (AI) models to improve the accuracy and efficiency of H. pylori diagnosis and to reduce the workload of pathologists.MethodsHere, we developed three multi-instance learning (MIL) models: AB-MIL, DS-MIL, and Trans-MIL, to automatically detect H. pylori infection. …”
Get full text

ENHANCING STATE POLICY EFFECTIVENESS IN CINEMA THROUGH MACHINE LEARNING / Повышение эффективности государственной политики в сфере кинематографа с помощью машинного обучения... by DOZHDIKOV ANTON V. / ДОЖДИКОВ А.В.

“…The study utilized the ensemble machine learning model HistGradientBoostingClassifier and a sequential fully connected three-layer neural network based on the TensorFlow library, along with basic methods of natural language processing. …”
Get full text

The Use of Concept Maps in the Process of Independent Study of Educational Material in Higher Mathematics by Larisa Norik, Irina Lebedeva

“…Methodology. Based on a review of the main provisions of modern theory of learning and generalization of research results presented in scientific papers on the scope of application of concept maps in the learning process, such a training experiment was conducted. …”
Get full text

Development of machine learning models for predicting non-remission in early RA highlights the robust predictive importance of the RAID score-evidence from the ARCTIC study by Gaoyang Li, Shrikant S. Kolan, Franco Grimolizzi, Joseph Sexton, Giulia Malachin, Guro Goll, Tore K. Kvien, Tore K. Kvien, Nina Paulshus Sundlisæter, Manuela Zucknick, Siri Lillegraven, Espen A. Haavardsholm, Espen A. Haavardsholm, Bjørn Steen Skålhegg

“…This study aims to predict 6-month non-remission in 222 disease-modifying anti-rheumatic drug (DMARD)-naïve RA patients initiating methotrexate monotherapy, using baseline patient characteristics from the ARCTIC trial.MethodsMachine learning models were developed utilizing twenty-one baseline demographic, clinical and laboratory features to predict non-remission according to ACR/EULAR Boolean, SDAI and CDAI criteria. …”
Get full text

Developing Machine-Learning Models to Predict Bacteremia in Febrile Adults Presenting to the Emergency Department: A Retrospective Cohort Study from a Large Center by Chia-Ming Fu, Ike Ngo, Pak Sheung Lau, Yaroslav Ivanchuk, Fan-Ya Chou, Chih-Hung Wang, Chien-Yu Lin, Chu-Lin Tsai, Shey-Ying Chen, Tsung-Chien Lu, Hung-Yu Wei

“…Conclusion: Our machine-learning model has shown excellent discriminatory performance to predict bacteremia based only on clinical features at ED triage. …”
Get full text

Enhancing Engagement, Practice Integration, and Skill Learning in Mobile Technology–Delivered Interventions Using Human Support: Randomized Controlled Trial With Depressed College... by Colleen S Conley, Brynn M DeLorenzo, Carol H Gonzales, Ian J Kahrilas, Jennifer Duffecy, Rebecca L Silton

“…ConclusionsThe results of this study illustrate that an initial face-to-face orientation boosts mTDI engagement, enhances the integration of intervention skills into everyday life, and increases learning. Future work is needed to determine the active ingredients of the orientation as well as to narrow in on the optimal implementation of supportive accountability that might drive increased levels of engagement and the associated positive intervention benefits. …”
Get full text