Heat Transfer by Transmission in a Zone with a Thermally Activated Building System: An Extension of the ISO 11855 Hourly Calculation Method. Measurement and Simulation by Piotr Michalak

“…They were integrated with a general algorithm given in ISO 11855-4 and the simulation tool was developed. …”
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Enhancing game outcome prediction in the Chinese basketball league through a machine learning framework based on performance data by Yuhua Zhong

“…In particular, under the Logistic Regression framework, the newly developed model based on the Four Factors detailed achieves an accuracy of 85.49%, representing the highest predictive performance among all the evaluated approaches.…”
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A Learning Path Recommendation Approach in a Fuzzy Competence Space by Ronghai Wang, Baokun Huang, Jinjin Li

“…This method provides a theoretical foundation and algorithmic support for the development of adaptive learning systems and intelligent testing systems.…”
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Mathematical modeling of fastening conditions in piggyback transport: ensuring safety and stability across different transport modes by Ziyoda Mukhamedova, Diyor Boboyev, Shukhrat Saidivaliev, Rustam Abdullaev, Jamshid Kobulov, Sardorbek Akhmedov, Sherzod Fayzibayev

“…This study focuses on developing a mathematical model to optimise the fastening methods for vehicles transported on railway platforms. …”
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Event-Triggered Adaptive Synchronous Control of Interconnected Microgrids Under Denial-of-Service Attacks by Xiaodan Li, Lei Zhang, Hongbin Liu, Xiaoyu Yi, Xiaochun Liu, Zichen Yi

“…Additionally, Zeno behavior is ruled out through theoretical analysis. The effectiveness of the proposed protocol is validated via a simulation case study.…”
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A Comprehensive Review of Multiple Physical and Data-Driven Model Fusion Methods for Accurate Lithium-Ion Battery Inner State Factor Estimation by Junjie Tao, Shunli Wang, Wen Cao, Carlos Fernandez, Frede Blaabjerg

“…Furthermore, the paper discusses future directions for improvement in computational efficiency, model adaptability, and performance under complex operating conditions, aiming to provide theoretical support and practical guidance for developing lithium-ion battery management technologies.…”
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Robust Wide-Speed-Range Control of IPMSM with Multi-Axis Coordinated Extended State Observer for Dynamic Performance Enhancement by Wentao Zhang, Yanchen Zhai, Pengcheng Zhu, Yiwei Liu

“…A Multi-Axis Coordinated Extended State Observer(MCESO)-based robust control framework was developed for full-speed domain operation, which enhances disturbance rejection capability against parameter uncertainties and abrupt load changes through hierarchical disturbance estimation. …”
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Study on the Relationship Between Porosity and Mechanical Properties Based on Rock Pore Structure Reconstruction Model by Nan Xiao, Jun-Qing Chen, Xiang Qiu, Fu Huang, Tong-Hua Ling

“…Subsequently, pore structure reconstruction models with controlled porosity variations were developed for systematic numerical experimentation. …”
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A Normal Mode Model Based on the Spectral Element Method for Simulating Horizontally Layered Acoustic Waveguides by Yinuo Zhang, Houwang Tu, Yongxian Wang, Guojun Xu, Dongbao Gao

“…The perfectly matched layer technique is employed to simulate acoustic half-space boundary conditions, effectively addressing the high computational costs and numerical instability associated with traditional artificial absorbing layers. Based on these algorithms, we have developed a numerical program (SEM). …”
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Research on Self-Diagnosis and Self-Healing Technologies for Intelligent Fiber Optic Sensing Networks by Ruiqi Zhang, Liang Fan, Dongzhu Lu

“…On the hardware front, a light switch driving device that does not require an external power source has been developed, expanding the application scenarios of optical switches and enhancing system adaptability and ease of operation. …”
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How do generative artificial intelligence (AI) tools and large language models (LLMs) influence language learners’ critical thinking in EFL education? A systematic review by Jing Liu, Ahmad Johari Bin Sihes, Ye Lu

“…Abstract As generative artificial intelligence (AI) tools and large language models (LLMs)-powered applications develop rapidly in the era of algorithms, it should be integrated thoughtfully to enhance English as a Foreign Language (EFL) teaching and learning without replacing learners’ critical thinking (CT). …”
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Heterogeneous AI Music Generation Technology Integrating Fine-Grained Control by Hongtao Wang, Li Gong

“…Together, these results validated the effectiveness of both the emotion recognition and music generation models developed in this research. This research not only propelled the existing frontiers of emotion detection and musical composition forward, but also laid a robust theoretical framework to facilitate subsequent investigations into the emerging field of emotion-aware music generation.…”
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Sensing technology for greenhouse tomato production: A systematic review by Jingxin Yu, Jiang Liu, Congcong Sun, Jiaqi Wang, Jianchao Ci, Jing Jin, Ni Ren, Wengang Zheng, Xiaoming Wei

“…This review aims to provide theoretical insights and technical guidance for monitoring and managing greenhouse tomato production by systematically examining sensing technologies in this field. …”
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Exploring the Potential Regulatory Mechanisms of Mitophagy in Ischemic Cardiomyopathy by Li Z, Kong J, Xi S, Jin Z, Yang F, Zhu Z, Liu L

“…It provides a certain theoretical basis for the research on the mechanism of the occurrence and development of ICM.Results: In total, 99 DE-MSRGs between ICM and control groups were gained. …”
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CUSTOMER BEHAVIOR TRANSFORMATION: HISTORY AND TODAY by N. V. Barinova

“…The author summarized the theoretical material dealing with this line, revised it creatively and gave a forecast of consumption development for the future. …”
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Meshless Numerical Simulation on Dry Shrinkage Cracking of Concrete Piles for Offshore Wind Power Turbine by Cong Hu, Jianfeng Xue, Taicheng Li, Haiying Mao, Haotian Chang, Wenbing Zhang

“…However, the fundamental mechanism of concrete pile cracking during dry shrinkage—particularly the coupled effects of moisture diffusion, meso-structural heterogeneity, and stress evolution—remains poorly understood, lacking a unified theoretical framework. This knowledge gap hinders the development of targeted anti-cracking strategies for offshore concrete structures. …”
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Structural design of memory system for Ternary Optical Computer. by Honghong Zhang, Yi Jin, Hongjian Wang, Xunlei Chen, Zhehe Wang, Shan Ouyang, Shuang Li

“…Ternary Optical Computer (TOC) is unique in the development of optical computers, in terms of principle, experiment, algorithm and application. …”
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Simulation analysis of path planning for workpiece clamping robots based on digital twin technology by Xin PAN, Min LIANG, Yanchao YIN, Zhong CHEN

“…Comparative experiments with two baseline algorithms, RRT*-Connect and an improved RRT*-FN algorithm, highlight the superior performance of the proposed method. …”
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Low-hit frequency-hopping communication systems for power Internet of things random access by Shu DU, Mei MA, Bo ZHAO, Qi ZENG, Xing LIU

“…The communication network is an essential component of the data acquisition and information transmission in power Internet of things (IoT).To meet the development requirements of multiple power service in the future, the wireless communication technique with flexible-access and high scalability is one of the development directions for power IoT.Due to the features of large-scale access, random access time, high security and reliability for information transmission of power IoT, a frequency-hopping (FH) technique with low-hit rate for random access was proposed.The construction algorithm of such FH pattern was based upon the combination and shift operation of conventional FH sequences.By the theoretical arithmetic and numerical simulation, the properties of the proposed FH pattern and the error-rate of the FH-based power IoT were evaluated.The analysis reveals that the new class of FH sequences and the system can meet the requirements of large-scale access and highly reliable communication for the power IoT, which has good application prospects.…”
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Rapid and Accurate Measurement of Major Soybean Components Using Near-Infrared Spectroscopy by Chenxiao Li, Jiatong Yu, Sheng Wang, Qinglong Zhao, Qian Song, Yanlei Xu

“…This study provides technical and theoretical support for achieving the efficient and accurate detection of major soybean components and for the development of portable near-infrared (NIR) instruments. …”
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