Application of a Hybrid Model Based on CEEMDAN and IMSA in Water Quality Prediction by GUO Li-jin, WU Hao-tian

“…[Results] The study introduced four key innovations to the original Mantis Search Algorithm (MSA): (1) combining Logistic-Tent chaotic mapping for population initialization, ensuring uniform and random distribution of initial solutions to enhance global search capability and convergence speed; (2) nonlinear acceleration factor, refining MSA’s core update formula to transition from global exploration to local exploitation, mitigating local optima entrapment; (3) elite-guided adaptive update strategy, addressing the excessive randomness in the position update strategy when Mantis attacks fail, improving late-stage search efficiency while preserving some randomness; (4) opposition-based learning, generating individuals opposite to the current individual to enhance global optimization. …”
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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. …”
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Transformer-based tokenization for IoT traffic classification across diverse network environments by Firdaus Afifi, Faiz Zaki, Hazim Hanif, Nik Aqil, Nor Badrul Anuar

“…However, existing traffic classification methods, including traditional machine learning and deep learning approaches, often exhibit critical limitations, such as insufficient generalization across diverse IoT environments, dependency on extensive labelled datasets, and susceptibility to overfitting in dynamic scenarios. …”
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An Attention-based Model for Recognition of Facial Expressions Using CNN-BiLSTM by Sushil Kumar Singh, Manish Kumar, Ikram Majeed Khan, A. Jayanthiladevi, Chirag Agarwal

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Analisis Penerimaan Pengguna Learning Management System (LMS) BRONE di Universitas Brawijaya berdasarkan Model Unified Theory of Acceptance and Use of Technology (UTAUT) by Lintang Trisnadi, Intan Sartika Eris Maghfiroh, Mochamad Chandra Saputra

“…Abstract In the era of information technology development, new learning methods have emerged, offering different perspectives on educational concepts. …”
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Analysis of Students’ Role Perceptions and their Tendencies in Classroom Education Based on Visual Inspection by Lanlan Jiang

“…This paper presents an in-depth study and analysis of students’ role perceptions and their tendencies in classroom education using a visual inspection approach. A multi example learning student engagement assessment method based on a one-dimensional convolutional neural network is proposed. …”
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A New Physics-Inspired Discriminative Classifier by Mostafa Monemizadeh, Seyed Rouhollah Samareh Hashemi, Mohsen Sheikh-Hosseini, Hamed Fehri

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Fault location and isolation technology for power grid automation based on intelligent algorithms by Qi Guo, Fuhe Wang, Suxia Cheng, Ke Wang, Yifan Zhang

“…Furthermore, FIA achieves 95% accuracy, outperforming current rule-based (89%) and heuristic (85%) methods. These findings show a significant enhancement in fault detection accuracy and isolation effectiveness, which reduces false positives and improves power grid resilience. …”
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Modeling and forecasting of TEC using subspace-based SSA-LRF-ANN model by J.R.K. Kumar Dabbakuti, Mallika Yarrakula, Dinesh Babu Vunnava, Gopi Krishna Popuri

“…Subspace-based signal processing methods are fundamentally pre-trained Artificial Neural Networks (ANN) that provide the basic structure for numerous computer vision applications and explore the most promising Earth Observation Applications (EOA). …”
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Virtual reality and preclinical medical education: a systematic review of its application and effectiveness by Serine Torosian, Vanad Mousakhani, Samantha Wehsener, Vineeta Ramnauth, Gabrielle Walcott-Bedeau

“…Our review suggests that VR aligns well with modern medical education standards, including LCME’s emphasis on self-directed learning and competency-based training. It supports independent practice and clinical skills development, particularly in OSCE preparation, anatomy visualization, and surgical training, by offering safe, interactive environments for students to learn from mistakes without patient risk. …”
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Realization of Music-Assisted Interactive Teaching System Based on Virtual Reality Technology by Yan Gao, Lin Gao

“…In the simulation process, based on the VRML/X3D bottom interactive system template, after comprehensive application research, comparative analysis of various modeling methods, the system verified the use of digital cameras combined with the modeling technology based on music elements to collaboratively establish VRML virtual model connections. …”
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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. …”
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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. …”
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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. …”
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An improved air conditioner label defect detection algorithm based on SURF features by Huizi ZHOU, Yuelin LIU, Qing LIU, Jianwu LI

“…The matching points were quickly screened based on spatial position information of feature points. …”
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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. …”
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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. …”
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Predicting student achievement through peer network analysis for timely personalization via generative AI by Ivica Pesovski, Petar Jolakoski, Vladimir Trajkovik, Zuzana Kubincova, Michael A. Herzog

“…The findings contribute to the broader discourse on educational strategies, enhancing positive peer interactions and developing a learning environment that provides support and motivation to all students.…”
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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. …”
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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. …”
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