Automatic Generation of Medical Case-Based Multiple-Choice Questions (MCQs): A Review of Methodologies, Applications, Evaluation, and Future Directions by Somaiya Al Shuraiqi, Abdulrahman Aal Abdulsalam, Ken Masters, Hamza Zidoum, Adhari AlZaabi

“…In this review, we explore various algorithms and techniques that have been developed for generating MCQs from medical case studies. …”
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DIGITAL TRANSFORMATION OF BUSINESS MANAGEMENT: INNOVATIVE MODELS, FORECAST SCENARIOS AND CURRENT CHALLENGES OF ECONOMY MODERNIZATION by I.V. Burtnyak, T.V. Khaludilo

“…It has been demonstrated that the traditional model of managerial processes and certain measures for the implementation of digital technologies are conflicted with contemporary challenges—global economic crises, tensions in international relations, and the rapid development of information technologies—which reduces enterprises’ ability to adapt to external shocks. The aim of the study has been defined as the systematization and deepening of the theoretical basis for digital transformation in management from the standpoint of integrating artificial intelligence, machine learning, big data analytics, and cloud services for the modernization of the economy and the enhancement of business competitiveness. …”
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Cyber-Physical Systems in Smart Grids Enhancing Energy Management and Distribution Efficiency by Ponnusamy Sivakumar, Gurugubelli Vanitha, G V Rambabu, Sheeba Adlin, Tiwari Mohit, T Saravanan

“…Novel solutions to some generic challenges of the grid, such as communication burdens and cyber-security threats are the application of new optimization algorithms, machine learning methods and scalable remediation measures. …”
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Advanced High Switching-Frequency Cascaded H-Bridge Multilevel Inverter Based Shunt Active Filter for PV Generation: A Case Study by Nabil Karania, Mohamad Alaaeddin Alali, Stefano Di Gennaro, Jean Pierre Barbot

“…The <inline-formula><tex-math notation="LaTeX">$p - q$</tex-math></inline-formula> current identification algorithm is adapted/modified to include a P&amp;O algorithm for MPPT detection and a developed PLL to ensure reliable operation under grid distortion conditions. …”
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THE IMPACT OF ARTIFICIAL INTELLIGENCE ON THE DEVELOPMENT OF PREDICTIVE COMPETENCE IN MODERN SPECIALISTS by Viacheslav Osadchyi, Maksym Pavlenko, Liliia Pavlenko, Oleksii Sysoiev, Vladyslav Kruglyk

“…At the same time, diverse adaptation patterns to AI use necessitate a rethinking of the role of human judgement and raise concerns about technological dependency, algorithmic bias, and unequal access to innovation. …”
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Prediction Models for Diabetes in Children and Adolescents: A Review by Livija Cveticanin, Marko Arsenovic

“…Newly identified factors for differentiating between types of diabetes are discussed, alongside an overview of various machine learning and deep learning algorithms specifically adapted for diabetes prediction in children and adolescents. …”
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AI-Driven Optimization of Blockchain Scalability, Security, and Privacy Protection by Fujiang Yuan, Zihao Zuo, Yang Jiang, Wenzhou Shu, Zhen Tian, Chenxi Ye, Junye Yang, Zebing Mao, Xia Huang, Shaojie Gu, Yanhong Peng

“…Artificial intelligence, with its powerful data processing capability, pattern recognition ability, and adaptive optimization algorithms, can improve the transaction processing efficiency of blockchain, enhance the security mechanism, and optimize the privacy protection strategy, thus effectively alleviating the limitations of blockchain in terms of scalability and security. …”
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Explainability and Interpretability in Concept and Data Drift: A Systematic Literature Review by Daniele Pelosi, Diletta Cacciagrano, Marco Piangerelli

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Super-Exponential Approximation of the Riemann–Liouville Fractional Integral via Gegenbauer-Based Fractional Approximation Methods by Kareem T. Elgindy

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m-QAM Receiver Based on Data Stream Spectral Clustering for Optical Channels Dominated by Nonlinear Phase Noise by Miguel Solarte-Sanchez, David Marquez-Viloria, Andrés E. Castro-Ospina, Erick Reyes-Vera, Neil Guerrero-Gonzalez, Juan Botero-Valencia

“…The spectral clustering algorithm was adapted to handle data streams, enabling potential real-time applications. …”
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An Approach to Trustworthy Article Ranking by NLP and Multi-Layered Analysis and Optimization by Chenhao Li, Jiyin Zhang, Weilin Chen, Xiaogang Ma

“…To address this issue, we propose a three-layer ranking system that integrates natural language processing and machine learning techniques for relevance and trust assessment. …”
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Modelica-Based Energy Management of PEMFC Hybrid Power System of Vehicle by Keshu Zhang, Jiandong Jia, Xiaodan Shangguan, Jing Dong

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A Combination Positioning Method for Boom-Type Roadheaders Based on Binocular Vision and Inertial Navigation by Jiameng Cheng, Dongjie Wang, Jiming Liu, Pengjiang Wang, Weixiong Zheng, Rui Li, Miao Wu

“…To deal with the problem of position detection inaccuracies caused by the accumulation of errors in inertial navigation measurements over time and disturbances from body vibrations to the combined positioning system, an Adaptive Derivative Unscented Kalman Filtering (ADUKF) algorithm is proposed, which can suppress the impact of process variance uncertainties on the filtering. …”
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Pre-Compensation Strategy for Tracking Error and Contour Error by Using Friction and Cross-Coupled Control by Minghao Liu, Yongmin Zhu, Hongliang Xu, Weirui Liu, Hui Yang, Xingjun Gao

“…This paper focuses on improving the tracking accuracy for servo systems and increasing the contouring performance of precision machining. The dynamic friction during precision machining is analyzed using the LuGre model. …”
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Digital Twin Framework Using Real-Time Asset Tracking for Smart Flexible Manufacturing System by Asif Ullah, Muhammad Younas, Mohd Shahneel Saharudin

“…To achieve ultimate efficiency, the current study experimented with a range of machine-learning algorithms. The algorithms include Support Vector Machines (SVM), Random Forests (RF), Decision Trees, K-Nearest Neighbors (KNN) and Convolutional Neural Networks (CNN). …”
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Multi-Objective Optimization of Independent Automotive Suspension by AI and Quantum Approaches: A Systematic Review by Muhammad Waqas Arshad, Stefano Lodi, David Q. Liu

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A Hierarchical and Self-Evolving Digital Twin (HSE-DT) Method for Multi-Faceted Battery Situation Awareness Realisation by Kai Zhao, Ying Liu, Yue Zhou, Wenlong Ming, Jianzhong Wu

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Current Status and Trends of Wall-Climbing Robots Research by Shengjie Lou, Zhong Wei, Jinlin Guo, Yu Ding, Jia Liu, Aiguo Song

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Design and Dimension Optimization of Rigid–Soft Hand Function Rehabilitation Robots by Rui Zhang, Meng Ning, Yuqian Wang, Jun Yang

“…Hierarchical constraint modeling and an improved artificial bee colony algorithm optimize linkage dimensions and control strategies, achieving enhanced human–robot kinematic matching. …”
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Visual–Tactile Fusion and SAC-Based Learning for Robot Peg-in-Hole Assembly in Uncertain Environments by Jiaxian Tang, Xiaogang Yuan, Shaodong Li

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