A wicked problem: Systemic issues surrounding Canadian equestrian dressage and dressage horse welfare by Megan Ross, Kathryn Proudfoot, Katrina Merkies, Charlotte Lundgren, Caroline Ritter

“…The three themes portray that the issues faced by the dressage industry may be rooted in systemic problems and could be described as a ‘wicked problem’. …”
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Capacity Estimation of Lithium-Ion Battery Systems in Fuel Cell Ships Based on Deep Learning Model by Xiangguo Yang, Jia Tang, Qijia Song, Yifan Liu, Lin Liu, Xingwei Zhou, Yuelin Chen, Telu Tang

“…The capacity estimation of lithium-ion batteries, serving as an auxiliary power source in fuel cell vessels, is crucial for ensuring system stability and enhancing operational efficiency. …”
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Evaluation of a dynamic navigation system for endodontic microsurgery: study protocol for a randomised controlled trial by Bing Han, Xiaoyan Wang, Li Peng, Yuhan Wang, Chunyan Zheng, Zuhua Wang, Yuchun Sun

“…A dynamic navigation system (DNS) could provide a more accurate and efficient way to carry out endodontic microsurgery. …”
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A method of building alarm causality graph for anomaly events in network services by ZHANG Lei, JING Yuhan, HE Bo, QI Qi, CHEN Chen, WANG Jingyu

“…Operators need to spend a lot of time and effort searching for key information and identifying the root cause of anomaly events from these alarm data. …”
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Tooth Fracture Detection in Spiral Bevel Gears System by Harmonic Response Based on Finite Element Method by Yuan Chen, Rupeng Zhu, Guanghu Jin, Yeping Xiong

“…Spiral bevel gears occupy several advantages such as high contact ratio, strong carrying capacity, and smooth operation, which become one of the most widely used components in high-speed stage of the aeronautical transmission system. …”
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Thematic reviews of patient safety incidents as a tool for systems thinking: a quality improvement report by Samantha Machen

“…While healthcare has embraced, in some contexts, the option for system-based methodologies—for example, SEIPS and Accimaps—these methodologies and frameworks still operate from a single incident perspective. …”
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Risk Assessment of Hydrogen Fuel System Leakage in Ships Based on Noisy-OR Gate Model Bayesian Network by Gen Li, Haidong Zhang, Shibo Li, Chunchang Zhang

“…To mitigate the risk of hydrogen leakage in ship fuel systems powered by internal combustion engines, a Bayesian network model was developed to evaluate the risk of hydrogen fuel leakage. …”
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Artificial Intelligence Optimization for User Prediction and Efficient Energy Distribution in Electric Vehicle Smart Charging Systems by Siow Jat Shern, Md Tanjil Sarker, Mohammed Hussein Saleh Mohammed Haram, Gobbi Ramasamy, Siva Priya Thiagarajah, Fahmid Al Farid

“…This paper presents an advanced AI-based optimization framework for Electric Vehicle (EV) smart charging systems, focusing on efficient energy distribution to meet dynamic user demand. …”
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A tiered NARX model for forecasting day-ahead energy production in distributed solar PV systems by Sameer Al-Dahidi, Mohammad Alrbai, Bilal Rinchi, Loiy Al-Ghussain, Osama Ayadi, Ali Alahmer

“…This study presents a hierarchical forecasting approach for day-ahead energy production in distributed solar Photovoltaic (PV) systems using a tiered Nonlinear Autoregressive Exogenous (NARX) model. …”
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Deep learning-based dual monitoring system for power forecasting and fault detection in nuclear power applications by Mingzhe Lyu, Helin Gong, Zhang Chen, Jiangyu Wang, Mingxiao Zhong, Zhiyong Wang, Qing Li, Zefei Pan

“…These findings advance the development of artificial intelligence–enhanced systems for secure and efficient operation of critical energy infrastructure.…”
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Method and experimental verification of spatial attitude prediction for an advanced hydraulic support system under mining influence by Zhuang Yin, Kun Zhang, ZengBao Zhang, Hongyue Chen, Lingyu Meng, Zhen Wang, Mingchao Du, Xiangpeng Hu, Defu Zhao, Dan Tian

“…This improvement enhances the accuracy and parameter optimization efficiency of the advanced support attitude prediction model, thereby providing robust theoretical and technical support for the intelligent, safe, and efficient mining operations of the advanced coupling support system.…”
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State Estimation in Power Systems Under False Data Injection Attack Using Total Least Squares by Bamrung Tausiesakul, Krissada Asavaskulkiet, Chuttchaval Jeraputra, Ittiphong Leevongwat, Thamvarit Singhavilai, Supun Tiptipakorn

“…This work considers a state estimation problem in modern power systems, e.g., smart grids. Due to the use of digital technology, the smart grids often encounter malicious data that is deliberately injected to attack their network operations. …”
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Sowing Depth Monitoring System for High-Speed Precision Planters Based on Multi-Sensor Data Fusion by Song Wang, Shujuan Yi, Bin Zhao, Yifei Li, Shuaifei Li, Guixiang Tao, Xin Mao, Wensheng Sun

“…High-speed precision planters are subject to high-speed (12~16 km/h) operation due to terrain undulation caused by mechanical vibration and sensor measurement errors caused by the sowing depth monitoring system’s accuracy reduction problems. …”
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Research on synchronous radiation scanning transmission X-ray microscopy system closed-loop control method by YAO Zhen, JIAO Yuchen, ZHAO Bo, SUN Tianxiao, ZHANG Yufei, GUO Zhi, WANG Yong, XU Zijian, LI Haitao, LIU Haigang, ZHANG Xiangzhi, TAI Renzhong

“…Utilizing the scanning coherent diffraction imaging method (i.e. ptychography), this station achieves an optimal resolution of 7.32 nm, necessitating utmost system stability. However, the STXM system operates within a complex environment where the impact of external vibrations on imaging quality is increasingly problematic.PurposeThis study aims to develop a closed loop control method for the vibration of STXM system to improve imaging quality.MethodsFirst of all, system vibration between the Fresnel zone plate (FZP) and the sample was analyzed in detail, so did the vibration suppression methods. …”
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Two-Layer Parallel Fuzzy Logic Controller Design for Semiactive Suspension System with a Full Car Model by Vu Van Tan

“…Then, a two-layer parallel fuzzy logic controller is designed with 49 and 25 rules for two fuzzy inference systems. In this way, the fuzzy logic controller is able to respond to a wide operating range of the system and the output force is smoother. …”
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Improvement analysis of organic light emitting diode temperature control by integrating whale algorithm in PID control system. by Dayu Zhang, Cong Guan

“…Its performance and lifespan are extremely sensitive to the operating temperature. The existing temperature control methods, such as the traditional Proportional-Integral-Derivative (PID) controller, are difficult to meet the requirements of OLED for precise temperature control, especially in systems with significant nonlinear and time-varying characteristics. …”
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Application of collaborative innovation between the logical brain and the associative brain in oil and gas gathering and transportation systems by Jing GONG, Siheng SHEN, Daqian LIU, Qi KANG, Shangfei SONG, Haihao WU, Bohui SHI

“…MethodsTo address these challenges, this paper proposes the development of dual-brain synergistic digital-intelligent agents based on the concepts defined respectively for the logical brain and associative brain, aiming to provide solutions that integrate intelligence and reliability for the construction of intelligent complex industrial systems. The essence of agents, which are rooted in digitalization and designed for intelligent decision-making and control, was introduced. …”
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Enabling efficient sizing of hybrid power plants: a surrogate-based approach to energy management system modeling by C. Assaad, J. P. M. Leon, J. Quick, T. Göçmen, S. Ghazouani, K. Das

“…Accurate sizing requires high-fidelity energy management systems (EMSs) to model bidding strategies and operations in electricity markets, resulting in precise operational revenues and costs. …”
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Importance of geotechnical diagnosis in railway management: A review by Jorge Rojas Vivanco, Pierre Breul, Aurélie TALON, Miguel Angel Benz-Navarrete, Sébastien Barbier, Younes Haddani

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Hybrid Modified Particle Swarm Optimization and Adaptive Neuro-Fuzzy Inference System for Electric Power Consumption Prediction by Molla Addisu Mossie, Estifanos Abeje Sharew, Tewodros Gera Workineh, Yechale Amogne Alemu

“…Load forecasting is crucial in power system energy management, aiding planning and operations. …”
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