A rapid review of adolescent engagement in massive open online courses (MOOCS) in health and education: Content, engagement strategies and evaluation methods by Putu Novi Arfirsta Dharmayani, Allyson R. Todd, Jennifer Dam, Josephine Y. Chau, Sara Wardak, Katrina E. Champion, Seema Mihrshahi, Stephanie R. Partridge

“…Facilitators of MOOC engagement included personal interest and a sense of achievement, whereas barriers included using technical language, lack of visual and graphic content, and lack of interaction. Evaluation methods predominantly used multiple sources, with self-reported surveys being the most common. …”
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Are treatment plans optimized on the basis of acuros XB dose calculation robust against anatomic changes during online adaptive radiotherapy for lung cancer regarding dose homogene... by Khouya Aymane, Santiago Alina, Ringbaek Toke, Guberina Nika, Guberina Maja, Gauler Thomas, Lübcke Wolfgang, Zylka Waldemar, Pöttgen Christoph, Stuschke Martin

“…Dose homogeneity of the scheduled plans, optimized on planning CT (CTplan), was verified on the initial CBCT of a dose fraction (CBCT1). …”
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Research on Pose Error Modeling and Compensation of Posture Adjustment Mechanism Based on WOA-RBF Neural Network by Hongyu Shen, Honggen Zhou, Yiyang Jin, Lei Li, Bo Deng, Jiawei Xu

“…Therefore, a compensation method based on the whale optimization algorithm optimized radial basis function neural network is proposed. …”
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Siamese Graph Convolutional Split-Attention Network with NLP based Social Sentimental Data for enhanced stock price predictions by Jayaraman Kumarappan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ambarish Kulkarni

“…Two data sources feed the model: specifically, NIFTY-50 Stock Market and real-time Twitter sentiment. …”
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Prediction Model for Compaction Quality of Earth-Rock Dams Based on IFA-RF Model by Weiwei Lin, Yuling Yan, Pu Xu, Xiao Zhang, Yichuan Zhong

“…The improved firefly optimization-based random forest (IFA-RF) is applied in practical engineering projects, and the results validate that this method can reliably and accurately predict the compaction quality of earth-rock dam construction in real time (R = 0.90107, MSE = 0.0000602, <i>p</i> = 0.000) and thereby guide remedial measures to ensure engineering safety and quality compliance.…”
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Gibbs-BERTopic: A Hybrid Approach for Short Text Topic Modeling by Yan Zhu, Yueying Liu

“…As a rich source of direct user needs, online reviews can be effectively analyzed through topic modeling to uncover user preferences and requirements. …”
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Creating Balance on Bandwidth Consumption using Network Coding in Wireless Sensor Networks by Ehsan Kharati

“…This model minimizes the ratio of the total maximum bandwidth to the available bandwidth in network&#039;s edges and we use the dual method to solve this model. We also use the KarushâKuhnâTucker conditions (KKT) to calculate a lower bound and find the optimal solution and point in optimization model. …”
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The calculation algorithm of oil and gas production enterprise energy efficiency indicators by A. Yu. Arestova, V. N. Ulyanov, M. Yu. Frolov

“…Then, the power and electricity balance calculation algorithm should be designed to evaluate the share of the technological processes’ consumption, analyze losses, and determine the source of imbalance. The assessment of energy efficiency indicators will require adaptation of the parameter’s identification method for rotating electrical machines in operating modes. …”
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An interpretable framework for risk management in TBM excavation using expert elicitation integrated with fuzzy set theory by Kibeom Kwon, Minkyu Kang, Young Jin Shin, Byoungcheol Ahn, Hangseok Choi

“…This study proposes an interpretable risk management method that effectively addresses these uncertainties and concurrent sources. …”
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NSGA-II-based load resource management for frequency and voltage support by Yaxin Wang, Zhihang Zhu, Zhihong Yu, Zigan Wang

“…This is primarily due to the fluctuating and intermittent nature of renewable energy sources and the uncertain electricity demand. To address these issues, this study proposes a load resource management (LRM) method to cope with the sudden power disturbances. …”
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Relationship between ecological spatial network and vegetation carbon use efficiency in the Yellow River Basin, China by Chenglong Xu, Xiang Chen, Qiang Yu, Buyanbaatar Avirmed, Jikai Zhao, Wei Liu, Weijie Sun

“…Furthermore, the Morphological Spatial Pattern Analysis (MSPA) method and Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model were employed to delineate ecological sources for woodlands, shrublands, and grasslands, while the Minimum Cumulative Resistance (MCR) model was used to identify ecological corridors, forming an ecological spatial network within the YRB. …”
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Long Trip Charging Planning of Battery Electric Vehicle Considering Vehicle Waiting Time Forecast at Fast Charging Stations: A Mixed-Integer Dynamic Programming Approach by Pradeep Krishna Bhat, Zhouquan Wu, Bo Chen

“…Monte Carlo simulation generates the waiting time at the charging station based on the probability distributions and station configuration. The presented optimal charging plan method is validated by multiple test cases. …”
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Mitigating malicious denial of wallet attack using attribute reduction with deep learning approach for serverless computing on next generation applications by Amal K. Alkhalifa, Mohammed Aljebreen, Rakan Alanazi, Nazir Ahmad, Sultan Alahmari, Othman Alrusaini, Ali Alqazzaz, Hassan Alkhiri

“…For the DoW attack mitigation process, the bi-directional long short-term memory multi-head self-attention network (BMNet) method is employed. Finally, the hyperparameter tuning is accomplished by implementing the secretary bird optimizer algorithm (SBOA) method to enhance the classification outcomes of the BMNet model. …”
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Patient-focused drug development and real-world study by Haiyin Hu, Hui Wang, Lin Ang, Menglong Shi, Xiaolei Wu, Chenyao Zhang, Mei Han, Shigang Liu, Kai Li, Junhua Zhang, Zhaochen Ji

“…The aim of this review was to promote research method innovation and optimize clinical research design and implementation. …”
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Adaptive non-parametric kernel density estimation for under-frequency load shedding with electric vehicles and renewable power uncertainty by Feng Renhai, Wajid Khan, Afshan Tariq, Muhammad Abbas, Muhammad Zain Yousaf, Abdul Aziz, Mohit Bajaj, Mustafa Abdullah, Milkias Tuka

“…Abstract As power systems around the world shift to incorporate more renewable energy sources, particularly wind power, maintaining grid stability becomes increasingly challenging due to the inherent variability of these sources. …”
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Construction of an Ecological Security Structure in Fuzhou City of Jiangxi Provicne Based on an MCR Model by Chen Qun, Liu Pinghui, Zhu Chuanmin

“…[Methods] Fuzhou City of Jiangxi Provicne was used as a research area. …”
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Curved Holographic Augmented Reality Near-Eye Display System Based on Freeform Holographic Optical Element with Extended Field of View by Hong Xu, Yuan Xu, Changyu Wang, Juan Liu

“…The system includes a display source and a HOE with curved substrate. We analyze the system by exploiting the diffraction theory between plane and curved surface, and a layered and weighted FOV optimization method using particle swarm optimization algorithm is proposed to realize the optimization of the phase of freeform HOE. …”
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TSMixer- and Transfer Learning-Based Highly Reliable Prediction with Short-Term Time Series Data in Small-Scale Solar Power Generation Systems by Younjeong Lee, Jongpil Jeong

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CardioGenAI: a machine learning-based framework for re-engineering drugs for reduced hERG liability by Gregory W. Kyro, Matthew T. Martin, Eric D. Watt, Victor S. Batista

“…It is therefore of tremendous interest to develop advanced methods for identifying hERG-active compounds in the early stages of drug development, as well as for proposing redesigned compounds with reduced hERG liability and preserved primary pharmacology. …”
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A Subspace Preconditioned LSQR Gauss-Newton Method with a Constrained Line Search Path Applied to 3D Biomedical Microwave Imaging by Jürgen De Zaeytijd, Ann Franchois

“…(i) To speed up the iterative forward problem solution, we extrapolate the initial guess of the field from a few field solutions corresponding to previous source positions for the same complex permittivity (i.e., “marching on in source position”) as well as from a Born-type approximation that is computed from a field solution corresponding to one previous complex permittivity profile for the same source position. …”
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