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arXiv 2025年

作者： Guo, Fei Wang, Zilong Gong, Guang State Key Laboratory of Mathematical Engineering and Advanced Computing Information Engineering University Zhengzhou450001 China State Key Laboratory of Integrated Service Networks Xidian University Xi’an710071 China Department of Electrical and Computer Engineering University of Waterloo WaterlooONN2L 3G1 Canada

In 2017, Zhang et al. proposed a question (not open problem) and two open problems in [IEEE TIT 63 (8): 5336–5349, 2017] about constructing bent functions by using Rothaus’ construction. In this note, we prove that the sufficient conditions of Rothaus’ construction are also necessary, which answers their question. Besides, we demonstrate that the second open problem, which considers the iterative method of constructing bent functions by using Rothaus’ construction, has only a trivial solution. It indicates that all bent functions obtained by using Rothaus’ construction iteratively can be generated from the direct sum of an initial bent function and a quadratic bent function. This directly means that Zhang et al.’s construction idea makes no contribution to the construction of bent functions. To compensate the weakness of their work, we propose an iterative construction of bent functions by using a secondary construction in [DCC 88: 2007–2035, 2020]. © 2025, CC BY-NC-ND.

关键词： Hadamard transforms

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Angle-resolved magneto-chiral anisotropy in a non-centrosymmetric atomic layer superlattice

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Science Bulletin 2025年第9期70卷 1406-1409页

作者： Cheng, Long Bao, Mingrui Zhang, Xue Zhang, Jingxian Yang, Qun Li, Qiang Cao, Hui Qiu, Dawei Li, Hui Cheng, Guanglei Zhou, Hua Zuo, Jian-Min Zhou, Xiaodong Shen, Jian Zhu, Zhifeng Wang, Wenbo Zhai, Xiaofang School of Physical Science and Technology ShanghaiTech University Shanghai201210 China CAS Key Laboratory of Microscale Magnetic Resonance and School of Physical Sciences University of Science and Technology of China Hefei230026 China School of Information Science and Technology ShanghaiTech University Shanghai201210 China State Key Laboratory of Surface Physics and Institute for Nanoelectronic Devices and Quantum Computing Fudan University Shanghai200433 China X-ray Science Division Advanced Photon Source Argonne National Laboratory LemontIL60439 United States Institutes of Physical Science and Information Technology Anhui University Hefei230601 China Department of Materials Science and Engineering and Materials Research Laboratory University of Illinois Urbana–Champaign UrbanaIL61801 United States ShanghaiTech Laboratory for Topological Physics ShanghaiTech University Shanghai201210 China

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Super-Resolution of Diffusion-Weighted Images via TDI-Conditioned Diffusion Model 15th

Super-Resolution of Diffusion-Weighted Images via TDI-Cond...

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15th International Workshop on Computational Diffusion MRI, CDMRI 2024, held in conjunction with 27th International Conference on Medical Image computing and Computer-Assisted Intervention, MICCAI 2024

作者： Ma, Jiquan Teng, Yujun Chen, Geng Jiang, Haotian Zhang, Kai Liu, Feihong Rekik, Islem Shen, Dinggang School of Computer Science and Technology Heilongjiang University Harbin China National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology School of Computer Science and Engineering Northwestern Polytechnical University Xi’an China School of Biomedical Engineering and State Key Laboratory of Advanced Medical Materials and Devices ShanghaiTech University Shanghai China School of Information Science and Technology Northwest University Xi’an China BASIRA Lab Imperial-X and Department of Computing Imperial College London London United Kingdom

ISBN: (纸本)9783031869198

Diffusion-Weighted Imaging (DWI) is a significant technique for studying white matter. However, it suffers from low-resolution obstacles in clinical settings. Post-acquisition Super-Resolution (SR) can enhance the resolution of DWIs and has gained increasing research interest in recent years. An advanced generative model, the Diffusion Model (DM), exhibits particularly promising performance in image SR. However, effective conditions are required to bootstrap the DM for DWI SR. To this end, we proposed the first DM-based DWI SR model with two effective conditions based on low-solution DWIs and Track Density Imaging (TDI) maps, which possess rich high-resolution prior knowledge Additionally, we consider another condition based on features from low-resolution DWIs. These two conditions are integrated into our model, which comprises three components: DWI Resolution Enhancer (DRE), DWI Feature Extractor (DFE), and TDI Feature Extractor (TFE). DRE combines low-resolution DWI features from DFE with TDI features from TFE to progressively generate high-resolution DWIs. We performed extensive experiments on DWIs of normal subjects from human connectome projects and patients with Parkinson’s disease. The results demonstrate that our model outperforms existing DWI SR models, both qualitatively and quantitatively. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Neurodegenerative diseases

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A diffuse-interface lattice Boltzmann method for the dissolution through nonlinear heterogeneous reaction

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Physics of Fluids 2025年第5期37卷

作者： Yang, Xiaofeng Zhan, Chengjie Liu, Xi Chai, Zhenhua School of Mathematics and Statistics Huazhong University of Science and Technology Wuhan430074 China Institute of Interdisciplinary Research for Mathematics and Applied Science Huazhong University of Science and Technology Wuhan430074 China Hubei Key Laboratory of Engineering Modeling and Scientific Computing Huazhong University of Science and Technology Wuhan430074 China The State Key Laboratory of Intelligent Manufacturing Equipment and Technology Huazhong University of Science and Technology Wuhan430074 China

In this work, a diffuse-interface lattice Boltzmann method (DI-LBM) is proposed for the dissolution through nonlinear heterogeneous reaction. In this method, the sharp boundary between the fluid and solid phases is replaced by a diffuse interface with a nonzero thickness. To describe the changes of physical variables from the fluid region to the solid region, a smooth function is introduced, and simultaneously, the nonlinear Robin boundary condition imposed on the fluid-solid interface is reformulated as a source term into the modified convection-diffusion equation. We then test the DI-LBM through several benchmark problems, and find that the numerical results are in agreement with the analytical solutions and available data. Finally, the present DI-LBM is adopted to study the dissolution in a two-dimensional porous medium, and the results show that with the decrease in reaction order, the reactant in the central region with a large fluid velocity reacts faster and forms a conical pathway. © 2025 Author(s).

关键词： Kinetic theory of gases

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Recent Advances in Thermo- and Photostabilities of Organic Solar Cells: Material Design and Morphology Control

Polymer Science & Technology

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Polymer Science & Technology 2025年第1期1卷 25-45页

作者： Jinyang Yu Shuixing Li Minmin Shi Haiming Zhu Hongzheng Chen State Key Laboratory of Silicon and Advanced Semiconductor Materials Department of Polymer Science and Engineering Zhejiang University Hangzhou 310058 China Zhejiang University-Hangzhou Global Scientific and Technological Innovation Center Hangzhou 311200 China Department of Chemistry Zhejiang University Hangzhou 310058 China State Key Laboratory of Silicon and Advanced Semiconductor Materials Department of Polymer Science and Engineering Zhejiang University Hangzhou 310058 China；Zhejiang University-Hangzhou Global Scientific and Technological Innovation Center Hangzhou 311200 China

As an emerging photovoltaic technology, organic solar cells (OSCs) have attracted extensive attention in recent years due to the advantages of light weight, flexibility, semi-transparency, and potential for roll-to-roll device fabrication. Currently, state-of-the-art OSCs have achieved over 20% power conversion efficiency (PCE), indicating their bright application prospects. Thus, stability becomes a critical issue for the commercialization of OSCs. In practical environments, light and heat are the main factors affecting the stability of OSCs. In this review, we first summarize the key degradation routes induced by thermal and light stresses. Then, recent strategies to enhance thermo- and photostability of OSCs are reviewed, focusing on material design and morphology control. Finally, some suggestions are provided for the development of next-generation OSCs with high efficiency and excellent stability.

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Correction to: Optimal Error Estimates for Gegenbauer Approximations in Fractional Spaces

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Journal of scientific computing 2025年第2期103卷 1-2页

作者： Xie, Ruiyi Liu, Wenjie Wang, Haiyong Wu, Boying School of Mathematics Harbin Institute of Technology Harbin People’s Republic of China Key Laboratory of Computing and Stochastic Mathematics Ministry of Education (LCSM) Changsha People’s Republic of China School of Mathematics and Statistics Huazhong University of Science and Technology Wuhan People’s Republic of China China and Hubei Key Laboratory of Engineering Modeling and Scientific Computing Huazhong University of Science and Technology Wuhan People’s Republic of China

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Use Tabu Search Particle Swarm Optimization Algorithm to Detect COVID-19 4th

Use Tabu Search Particle Swarm Optimization Algorithm to Det...

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4th International Conference on IoT and Big Data Technologies for Health Care, IotCare 2023

作者： Chen, Shuwen Wang, Jiaji Zhu, Huisheng School of Physics and Information Engineering Jiangsu Second Normal University Jiangsu Nanjing210016 China State Key Laboratory of Millimeter Waves Southeast University Nanjing210096 China School of Computing and Mathematical Sciences University of Leicester LeicesterLE1 7RH United Kingdom

ISBN: (纸本)9783031900839

Efficient and accurate COVID-19 detection methods are paramount in the ongoing battle against the global pandemic. In this study, we present a novel approach that leverages the Tabu Search Particle Swarm Optimization (TS-PSO) algorithm for COVID-19 detection. Unlike conventional methods, our approach combines the strengths of both global and local search strategies, enhancing the accuracy of diagnosis. We conducted extensive experiments, benchmarking our TS-PSO-based approach against established methods. The results reveal that our TS-PSO method achieves competitive performance, with improvements in sensitivity, specificity, precision, accuracy, F1 score, MCC, and FMI. This innovative approach not only advances the field of COVID-19 detection but also demonstrates its potential as a valuable tool for healthcare professionals in the ongoing fight against the pandemic. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications engineering 2025.

关键词： Tabu search

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Metaheuristic Optimization Methods and Techniques for Multiple Sclerosis Detection 4th

Metaheuristic Optimization Methods and Techniques for Multip...

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4th International Conference on IoT and Big Data Technologies for Health Care, IotCare 2023

作者： Wang, Jiaji Wu, Meng Chen, Shuwen Zhu, Huisheng School of Computing and Mathematical Sciences University of Leicester LeicesterLE1 7RH United Kingdom School of Physics and Information Engineering Jiangsu Second Normal University Jiangsu Nanjing210016 China State Key Laboratory of Millimeter Waves Southeast University Nanjing210096 China

ISBN: (纸本)9783031900839

This paper explores the application of metaheuristic optimization methods in the context of Multiple Sclerosis (MS) detection, addressing the challenges of early and accurate diagnosis. It introduces Genetic Algorithms, Simulated Annealing, and Particle Swarm Optimization as effective tools for feature selection and classification in MS detection. Additionally, the paper discusses emerging metaheuristic optimization methods and their potential contributions. Through critical evaluation, it emphasizes the need for method selection based on task-specific requirements. In conclusion, this research highlights the promise of metaheuristic optimization in revolutionizing MS detection, urging further development and validation on larger datasets. Future directions include hybrid algorithms and advanced machine learning integration for improved diagnostic precision. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications engineering 2025.

关键词： Particle swarm optimization (PSO)

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An investigation of scouring mechanism and equilibrium state by the submerged jet using synthesized oblique velocity

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Ocean engineering 2025年 316卷

作者： Hu, Xiguang Chen, Zhida Yang, Xing Li, Linglong Wu, Defa Ma, Yunxiang Liu, Yinshui State Key Laboratory of Intelligent Manufacturing Equipment and Technology School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan430074 China China Ship Scientific Research Center Wuxi214082 China

This paper uses a numerical simulation method based on synthesized oblique velocity to simulate the process of submerged oblique jet scouring of the sand bed. The concept of the initial scouring equilibrium state is introduced, and curves showing the variation of scour hole depth over time at varying angles are fitted based on experimental data. This enables predicting the scour hole depth at any point during the scouring process and the time required to reach the initial scouring equilibrium state. An ultrasonic displacement sensor was used to measure the depth and width of the scour holes accurately. The evolution of the scour holes formed by the submerged oblique jet on the sand bed was systematically studied within the range of oblique angles from θ = 30°–80°. The flow structure during the scouring process and its interaction with sediment movement were further revealed through numerical simulations. The synthesized oblique velocity method effectively addresses the complexity of simulating the oblique jet. This provides a new approach to investigating the submerged oblique jet scouring of the sand bed. The findings of this study offer valuable guidance for practical applications, such as underwater equipment cleaning and deep-sea dredging. © 2024 Elsevier Ltd

关键词： Scour

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An investigation of the long-term deposition of graphite dust particles on turbine blades by mesh-deformation method

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Progress in Nuclear Energy 2025年 186卷

作者： Wang, Xiaozhong Sun, Qi Liu, Bo Xie, Feng Zhu, Yinhai Jiang, Peixue Peng, Wei Institute of Nuclear and New Energy Technology Advanced Nuclear Energy Technology Cooperation Innovation Center Key Laboratory of Advanced Reactor Engineering and Safety Ministry of Education Tsinghua University Beijing100084 China Scientific Computing Department Science and Technology Facilities Council Daresbury Laboratory WarringtonWA4 4AD United Kingdom Department of Energy and Power Engineering Key Laboratory for Thermal Science and Power Engineering of Ministry of Education Tsinghua University 100084 China

The persistent accumulation of radioactive graphite particulates on turbine surfaces presents a critical operational challenge for high-temperature gas-cooled reactor (HTGR) systems. This investigation employs high-fidelity numerical simulations integrating discrete phase modeling with mesh deformation methods to systematically examine particulate deposition dynamics and their subsequent impact on turbine cooling effectiveness. A comprehensive deposition framework accounting for multiphase particle-wall interactions (elastic rebound, adhesion, multilayer stacking, and shear-induced resuspension) was established, complemented by the development of predictive model for accumulated deposition mass. Computational results reveal a non-monotonic relationship between particle size and deposition: sub-5μm particulates exhibit extensive deposition patterns primarily driven by adhesion forces, while larger particles are more likely to undergo resuspension due to drag forces. Elevated blowing ratios (M = 2.0) were found to reduce deposition rates by 7–22 %. Lower deposition height enhances the effectiveness of film cooling, while higher deposition height suppresses it. However, overall, the influence of deposition on cooling is limited. The developed predictive model for maximum accumulated deposition mass exhibits good predictive performance (R2 = 0.99), and elucidates the influence of key parameters of particles and film cooling. This study reveals the long-term deposition behavior of particles on turbine blades and provides valuable insights for the safety analysis of HTGRs. © 2025 Elsevier Ltd

关键词： Mesh generation

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