Becoming a visual arts teacher with a/r/tography by Tarja Karlsson Häikiö, Annika Hellman

“…Three examination projects were presented exemplifying how the use of art-based methods supports an understanding of subject didactics in the process of becoming a visual arts teacher. …”
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Lightweight and hybrid transformer-based solution for quick and reliable deepfake detection by Geeta Rani, Atharv Kothekar, Shawn George Philip, Vijaypal Singh Dhaka, Ester Zumpano, Ester Zumpano, Eugenio Vocaturo, Eugenio Vocaturo

“…The techniques discussed in the literature are based on convolutional neural networks, Linformer models, or transformer models for deepfake detection, each with its advantages and disadvantages.MethodsIn this manuscript, a hybrid architecture combining transformer and Linformer models is proposed for deepfake detection. …”
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A multi-scene deep learning model for automated segmentation of acute vertebral compression fractures from radiographs: a multicenter cohort study by Hao Zhang, Genji Yuan, Ziyue Zhang, Xiang Guo, Ruixiang Xu, Tongshuai Xu, Xin Zhong, Meng Kong, Kai Zhu, Xuexiao Ma

“…For the development of the Positioning and Focus Network (PFNet), we used a training dataset consisting of 1071 participants from Hospitals A and B. …”
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Using action and grounded theory techniques as evidence-based design for an academic advising programme by Riashna Sithaldeen

“…The results indicate a positive association of the new capability developed in students, with the designed learning activity. …”
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Designing a model for fostering organizational resilience based on organizational agility components by Heidar kadivar zinkanloo, gholamabbas shekari, saeed emamgholizadeh

“…Rather, it is a physical body of regular scientific knowledge that can be achieved by applying the scientific method. By scientific method, we mean a method that is based on discussion and research in natural phenomena. …”
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MCS-RF: mobile crowdsensing–based air quality estimation with random forest by Cheng Feng, Ye Tian, Xiangyang Gong, Xirong Que, Wendong Wang

“…By combining online learning and offline learning, the method based on random forest performs well in terms of time complexity and accuracy. …”
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Enhancing medical response efficiency in real-time large crowd environments via smart coverage and deep learning for stable ecological health monitoring by Asma A. Alhashmi, Ghada Moh. Samir Elhessewi, Mukhtar Ghaleb, Nazir Ahmad, Nojood O. Aljehane, Tareq M. Alkhaldi, Hamad Almansour, Samah Al Zanin

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An optimized stacking-based TinyML model for attack detection in IoT networks. by Anshika Sharma, Shalli Rani, Mohammad Shabaz

“…To address these challenges, a stacking-based Tiny Machine Learning (TinyML) models has been proposed for attack detection in IoT networks. …”
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Fine-Tuning Quadcopter Control Parameters via Deep Actor-Critic Learning Framework: An Exploration of Nonlinear Stability Analysis and Intelligent Gain Tuning by Hassan Moin, Umer Hameed Shah, Muhammad Jawad Khan, Hasan Sajid

“…This study implements an optimal gain self-tuning framework for the altitude, attitude, and position controllers of a 6 degrees-of-freedom nonlinear drone system using a deep reinforcement learning algorithm with continuous observation and action spaces. …”
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Study on the Optical Field Distribution of Asymmetric Nanostructures Based on Surface Plasmon by Leijun Zhang, Jiao Jiao, Jisheng Tong, Chunguang Ma, Qing Zhao

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Dental Practitioners’ Perspectives Regarding Artificial Intelligence in Dentistry: A Cross-sectional Survey by S. K. Kokila, A. Leena Selvamary, S. G. Ramesh Kumar, A. Sujatha

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Gesture Recognition System Based on Time-Frequency Point Density of sEMG by Qiang Wang, Yao Chen, Chunhua Sheng, Shuaidi Song

“…And in the process of detecting the movement status of the finger, focusing on the deficiency of traditional methods in using empirical thresholds to detect the sEMG active segment, we proposed an adaptive recognition method based on time-frequency point density. …”
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Application of social cognitive theory to determine shaping factors of environmental intention and behaviors of ecotourist in forest areas by Sahar Erfanian, Rahim Maleknia, Aureliu Florin Halalisan

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Inner engineering is associated with perceived improvements in relationship quality, interpersonal connections, and interpersonal compassion by Nashaw Jafari, Atina Manvelian, Enas Mohamed, Akila Rayapuraju, Hibiki Orui, Sultan Alkuhaimi, Preeti Upadhyay Reed, Balachundhar Subramaniam

“…Inner Engineering (IE) is a transformative program that includes meditative and yogic practices associated with improvements in mindfulness and wellbeing.MethodsThis cross-sectional observational study enrolled participants who were already registered for the Inner Engineering program to learn Shambhavi Mahamudra Kriya, a multi-component, 21-min meditation. …”
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Making It Active: A Cohort Study of a Large-Group Learning Session to Improve Nutrition-Related Knowledge and Skills for Second-Year Medical Students by Gregory W. Schneider, Julia Bisschops, Prasad Bhoite, Sabyasachi Moulik

“…To address this gap, the Florida International University Herbert Wertheim College of Medicine introduced a 2-hour, case-based active learning session on diabetes-related nutrition education. …”
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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. …”
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Probability-Based Early Warning for Seasonal Influenza in China: Model Development Study by Jinzhao Cui, Ting Zhang, Yifeng Shen, Xiaoli Wang, Liuyang Yang, Xuefeng Huang, Qiang Huang, Yu Yang, Weizhong Yang, Zhongjie Li

“…Therefore, we propose a probability-based early warning system using machine learning to mitigate these limitations and to offer continuous risk estimations of alerts (0‐1 variable) instead of rigid threshold-based alerts. …”
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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. …”
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Design and Construction of Multimedia Smart English Teaching Platform Based on RBF Algorithm by Qianbo Li

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Effect of Risk-Based Audit and Information Technology on the Relationship between Client’s Risk Management and Audit Quality by Huy Cao Tan, Tuan Anh Dang

“…Understanding how risk-based audits (RBA), information technology applications (ITA), and auditor accountability influence this relationship is critical for enhancing audit practices. …”
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