Reconstruction of tritium amount and depth profile in PFMs for fusion reactor using MLEM and BIXS spectra by Minxiang Shu, Zhilin Chen, Yang Yang, Po Huang, Wenxiang Jiang, Shenghan Cheng, Yu Li

“…The maximum likelihood expectation maximization (MLEM) algorithm has been introduced as a robust solution to address the challenges associated with the high condition number of response matrix encountered in the beta ray induced x-ray spectra (BIXS) technique, specifically for the quantitative reconstruction of tritium amount and depth profiles within plasma facing materials (PFMs) in a fusion reactor. …”
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A chemical autonomous robotic platform for end-to-end synthesis of nanoparticles by Fan Gao, Hongqiang Li, Zhilong Chen, Yunai Yi, Shihao Nie, Zihao Cheng, Zeming Liu, Yuanfang Guo, Shumin Liu, Qizhen Qin, Zhengjian Li, Lisong Zhang, Han Hu, Cunjin Li, Liang Yang, Yunhong Wang, Guangxu Chen

“…Comparative analysis confirms the A* algorithm outperforms Optuna and Olympus in search efficiency, requiring significantly fewer iterations.…”
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Sequential Inversion for Helicopter Time-Domain Electromagnetics Based on a Regularized Extended Kalman Filtering by Sirui Zhou, Jun Lin, Chuandong Jiang, Haigen Zhou, Yanzhang Wang

“…Based on the sequential processing strategy of measuring while inverting, the REKF algorithm yields the optimal solution of the inversion objective function in just a few iterations, or even a single iteration, enabling near real-time calculations. …”
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Deep reinforcement learning for multi-objective location optimization of onshore wind power stations: a case study of Guangdong Province, China by Yanna Gao, Hong Dong, Liujun Hu, Fanhong Zeng, Yuqun Gao, Zhuonan Huang, Shaohua Wang, Shaohua Wang

“…IntroductionWind energy development faces challenges such as low utilization of wind resources, underdevelopment of suitable areas, and imbalanced electricity demand coverage. …”
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Studies of three dimensional stagged-grid finite difference for Z-axis tipper electromagnetic numerical simulation by Yu Wang, Junhao Qu, Tingting Chen, Shaohui Zhou, Yajun Li

“…The study shows that the AGMG-CG algorithm requires fewer iterations and achieves faster solutions, significantly enhancing computational speed, especially for large-scale 3D forward modeling problems. …”
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A critical evaluation of Pure Pursuit, MPC and MPCC: Balancing simplicity, performance and constraints by Kong Xiangyiming, Fisher Callen, Evans Benjamin

“…The computational demands of optimization-based algorithms result in a computation delay where the algorithm calculates for the vehicle's position one iteration behind its actual movement. …”
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Data-driven robust outpatient physician scheduling with medical visiting information by Qingyun He, Shuqun Shen, Zhiyu Lv, Shixin Yang

“…A tractable reformulation of the proposed robust physician scheduling model is newly derived, and we show their equivalence using strong duality theory. An iterated algorithm for the reformulation is also delicately designed, and we demonstrate its applicability to off-the-shelf solvers. …”
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Type 1 diabetes prevention clinical trial simulator: Case reports of model‐informed drug development tool by Juan Francisco Morales, Marian Klose, Yannick Hoffert, Jagdeep T. Podichetty, Jackson Burton, Stephan Schmidt, Klaus Romero, Inish O'Doherty, Frank Martin, Martha Campbell‐Thompson, Michael J. Haller, Mark A. Atkinson, Sarah Kim

“…Abstract Clinical trials seeking to delay or prevent the onset of type 1 diabetes (T1D) face a series of pragmatic challenges. Despite more than 100 years since the discovery of insulin, teplizumab remains the only FDA‐approved therapy to delay progression from Stage 2 to Stage 3 T1D. …”
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Federated learning for digital twin applications: a privacy-preserving and low-latency approach by Jie Li, Dong Wang

“…However, when sensitive information is extracted from physical entities, it faces potential leakage risks, as DT service providers are typically honest yet curious. …”
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Beyond the Scalpel: Assessing ChatGPT's potential as an auxiliary intelligent virtual assistant in oral surgery by Ana Suárez, Jaime Jiménez, María Llorente de Pedro, Cristina Andreu-Vázquez, Víctor Díaz-Flores García, Margarita Gómez Sánchez, Yolanda Freire

“…Noteworthy advances in AI algorithms and large language models (LLM) have led to the development of natural generative language (NGL) systems such as ChatGPT. …”
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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

“…Based on this, the WOA algorithm was utilized to search for the optimal number of neurons in the hidden layer and the learning rate. …”
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Local differential privacy-based frequent sequence mining by Teng Wang, Zhi Hu

“…The experimental results demonstrate the high data utility of our proposed algorithms when compared with other state-of-the-art mechanisms.…”
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A Beam Search Framework for Quantum Circuit Mapping by Cheng Qiu, Pengcheng Zhu, Lihua Wei

“…The optimization problem of quantum circuit mapping has NP-hard computational complexity, and existing heuristic mapping algorithms still have significant potential for optimization in terms of the number of quantum gates generated. …”
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Review of Demand Response-based Optimal Scheduling of Electric and Thermal Integrated Energy Systems by Jingshan MO, Guangxian YAN, Na SONG, Mingyang YUAN

“…With the changes in energy demand and structure, the integrated energy system faces a marked decline in flexibility adjustment capacity while meeting customer demand and securing energy supply. …”
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