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A New Sixth-Order WENO Scheme for Solving Hyperbolic Conservation Laws

Communications on Applied mathematics and Computation 2023年第1期5卷 3-30页

作者： Kunlei Zhao Yulong Du Li Yuan State Key Laboratory of Scientific and Engineering Computing(LSEC)and Institute of Computational Mathematics and Scientific/Engineering Computing Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China School of Mathematical Sciences University of Chinese Academy of SciencesBeijing 100190China School of Mathematical Sciences Beihang UniversityBeijing 100191China

In this paper,we develop a new sixth-order WENO scheme by adopting a convex combina-tion of a sixth-order global reconstruction and four low-order local *** the classical WENO schemes,the associated linear weights of the new scheme can be any positive numbers with the only requirement that their sum equals ***,a very simple smoothness indicator for the global stencil is *** new scheme can achieve sixth-order accuracy in smooth *** tests in some one-and two-dimensional bench-mark problems show that the new scheme has a little bit higher resolution compared with the recently developed sixth-order WENO-Z6 scheme,and it is more efficient than the classical fifth-order WENO-JS5 scheme and the recently developed sixth-order WENO6-S scheme.

关键词： Global smoothness indicator Linear weights Sixth-order accuracy WENO

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Federated Intelligence for Intelligent Vehicles

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2024年第5期9卷 1-5页

作者： Zhang, Weishan Zhang, Baoyu Jia, Xiaofeng Qi, Hongwei Qin, Rui Li, Juanjuan Tian, Yonglin Liang, Xiaolong Wang, Fei-Yue School of China University of Petroleum Qingdao China Department of Data Management Big Data Centre Beijing Beijing China Technology Company Beijing China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing China Faculty of Innovation Engineering Macau University of Science and Technology Macao China State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

This letter is a brief summary of a series of IEEE TIV's decentralized and hybrid workshops (DHWs) on Federated Intelligence for Intelligent Vehicles. The discussed results are: 1) Different scales of large models (LMs) can be federated and deployed on IVs, and three types of federated collaboration between large and small models can be adopted for IVs. 2) Federated fine-tuning of LMs is beneficial for IVs data security. 3) The sustainability of IVs can be improved through optimizing existing models and continuous learning using federated intelligence. 4) LM-enhanced knowledge can make IVs smarter. IEEE

关键词： Intelligent vehicle highway systems

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Disease prediction by network information gain on a single sample basis

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Fundamental Research 2025年第1期5卷 215-227页

作者： Jinling Yan Peiluan Li Ying Li Rong Gao Cheng Bi Luonan Chen School of Mathematics and Statistics Henan University of Science and TechnologyLuoyang 471023China Key Laboratory of Information Fusion Technology of Ministry of Education School of AutomationNorthwestern Polytechnical UniversityXi'an 710072China Longmen Laboratory Luoyang 471003China Key Laboratory of Systems Biology Center for Excellence in Molecular Cell ScienceShanghai Institute of Biochemistry and Cell BiologyChinese Academy of SciencesShanghai 200031China Key Laboratory of Systems Health Science of Zhejiang Province Hangzhou Institute for Advanced StudyUniversity of Chinese Academy of SciencesChinese Academy of SciencesHangzhou 310024China Guangdong Institute of Intelligence Science and Technology Zhuhai 519031China School of Life Science and Technology ShanghaiTech UniversityShanghai 201210China

There are critical transition phenomena during the progression of many *** critical transitions are usually accompanied by catastrophic disease deterioration,and their prediction is of significant importance for disease prevention and ***,predicting disease deterioration solely based on a single sample is a difficult *** this study,we presented the network information gain(NIG)method,for predicting the critical transitions or disease state based on network flow entropy from omics data of each *** can not only efficiently predict disease deteriorations but also detect their dynamic network biomarkers on an individual basis and further identify potential therapeutic *** numerical simulation demonstrates the effectiveness of ***,our method was validated by successfully predicting disease deteriorations and identifying their potential therapeutic targets from four real omics datasets,i.e.,an influenza dataset and three cancer datasets.

关键词： Tipping point Network information gain Dynamic network biomarker Disease prediction Network flow entropy Drug target

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On the u^∞-torsion submodule of prismatic cohomology

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Compositio Mathematica 2023年第8期159卷 1607-1672页

作者： Li, Shizhang Liu, Tong Morningside Center of Mathematics and Hua Loo-Keng Key Laboratory of Mathematics Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing 100190 China Department of Mathematics Purdue University 150 N. University Street West Lafayette 47907 IN United States

We investigate the maximal finite length submodule of the Breuil-Kisin prismatic cohomology of a smooth proper formal scheme over a -adic ring of integers. This submodule governs pathology phenomena in integral -adic cohomology theories. Geometric applications include a control, in low degrees and mild ramifications, of (1) the discrepancy between two naturally associated Albanese varieties in characteristic, and (2) the kernel of the specialization map in -adic étale cohomology. As an arithmetic application, we study the boundary case of the theory due to Fontaine and Laffaille, Fontaine and Messing, and Kato. Also included is an interesting example, generalized from a construction in Bhatt, Morrow and Scholze's work, which illustrates some of our theoretical results being sharp, and negates a question of Breuil. © 2023 The Author(s).

关键词： crystalline cohomology Fontaine-Messing theory prismatic cohomology

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DISCRETE ENERGY ANALYSIS OF THE THIRD-ORDER VARIABLE-STEP BDF TIME-STEPPING FOR DIFFUSION EQUATIONS

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Journal of Computational mathematics 2023年第2期41卷 325-344页

作者： Hong-lin Liao Tao Tang Tao Zhou Department of Mathematics Nanjing University of Aeronautics and AstronauticsNanjing 211106China Key Laboratory of Mathematical Modelling and High Performance Computing of Air Vehicles(NUAA) MIITNanjing 211106China Division of Science and Technology BNU-HKBU United International CollegeZhuhai 519087China Institute of Computational Mathematics and Scientific/Engineering Computing Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing100190China

This is one of our series works on discrete energy analysis of the variable-step BDF *** this part,we present stability and convergence analysis of the third-order BDF(BDF3)schemes with variable steps for linear diffusion equations,see,e.g.,[SIAM ***.,58:2294-2314]and[***.,90:1207-1226]for our previous works on the BDF2 *** this aim,we first build up a discrete gradient structure of the variable-step BDF3 formula under the condition that the adjacent step ratios are less than 1.4877,by which we can establish a discrete energy dissipation ***-robust stability and convergence analysis in the L^(2) norm are then *** the mesh robustness means that the solution errors are well controlled by the maximum time-step size but independent of the adjacent time-step *** also present numerical tests to support our theoretical results.

关键词： Diffusion equations Variable-step third-order BDF scheme Discrete gradient structure Discrete orthogonal convolution kernels Stability and convergence

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Targeted Catalytic Cracking to Olefins(TCO):Reaction Mechanism,Production Scheme,and Process Perspectives

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Engineering 2023年第11期30卷 100-109页

作者： Youhao Xu Yanfen Zuo Wenjie Yang Xingtian Shu Wei Chen Anmin Zheng Research Institute of Petroleum Processing SinopecBeijing 100083China Economics and Development Research Institute SinopecBeijing 100029China State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics National Center for Magnetic Resonance in WuhanKey Laboratory of Magnetic Resonance in Biological SystemsWuhan Institute of Physics and MathematicsInnovation Academy for Precision Measurement Science and TechnologyChinese Academy of SciencesWuhan 430071China

Light olefins are important organic building blocks in the chemicals *** main low-carbon olefin production methods,such as catalytic cracking and steam cracking,have considerable room for improvement in their utilization of *** review provides a thorough overview of recent studies on catalytic cracking,steam cracking,and the conversion of crude oil *** maximize the production of light olefins and reduce carbon emissions,the perceived benefits of various technologies are *** olefin generation and conversion as a link to expand upstream and downstream processes,a targeted catalytic cracking to olefins(TCO)process is proposed to meet current demands for the transformation of oil refining into chemical *** main innovations of this process include a multiple feedstock supply,the development of medium-sized catalysts,and a diameter-transformed fluidizedbed reactor with different feeding *** combination with other chemical processes,TCO is expected to play a critical role in enabling petroleum refining and chemical processes to achieve low carbon dioxide emissions.

关键词： Light olefins Steam cracking Catalytic cracking TCO process Oil processing revolution

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Cryptanalysis of BAKSHEESH Block Cipher 20th

Cryptanalysis of BAKSHEESH Block Cipher

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20th International Conference on Information Security and Cryptology, Inscrypt 2024

作者： Xu, Shengyuan Chen, Siwei Feng, Xiutao Xiang, Zejun Zeng, Xiangyong Department of Fundamental Courses Shandong University of Science and Technology Shandong Taian China School of Cyber Science and Technology Hubei University Hubei Wuhan China Key Laboratory of Mathematics Mechanization Academy of Mathematics and Systems Science Beijing China Faculty of Mathematics and Statistics Hubei Key Laboratory of Applied Mathematics Hubei University Hubei Wuhan China Key Laboratory of Intelligent Sensing System and Security Ministry of Education Hubei University Hubei Wuhan China

ISBN: (纸本)9789819647330

BAKSHEESH is a lightweight block cipher following up the well-known cipher GIFT-128, which uses a 4-bit SBox that has a non-trivial Linear Structure (LS). Also, the Sbox requires a low number of AND gates that makes BAKSHEESH stronger to resist the side channel attacks compared to GIFT-128. In this paper, we give the first third-party security analysis of BAKSHEESH from the traditional attacks perspective: integral, differential and linear attacks. Firstly, we propose a framework for integral attacks based on the properties of BAKSHEESH ’s Sbox and its inverse. By this, we achieve the 9- and 10-round practical key-recovery attacks, and give a 15-round theoretical attack. Secondly, we re-evaluate the security bound against differential cryptanalysis, correcting two errors from the original paper and presenting a key-recovery attack for 19 rounds. At last, for linear cryptanalysis, we develop an automated model for key-recovery attacks and then demonstrate a key-recovery attack for 21 rounds. We stress that our attacks cannot threaten the full-round BAKSHEESH, but give a deep understanding on its security. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： BAKSHEESH key-recovery Attacks Lightweight Block Cipher Security Evaluation

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Pager Explosion:Cybersecurity Insights and Afterthoughts

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IEEE/CAA Journal of Automatica Sinica 2024年第12期11卷 2359-2362页

作者： Chuan Sheng Wanlun Ma Qing-Long Han Wei Zhou Xiaogang Zhu Sheng Wen Yang Xiang Fei-Yue Wang Swinburne University of Technology Hawthorn VIC 3122Australia IEEE the School of Computer and Mathematical Sciences the University of AdelaideAdelaideSouth Australia 5005Australia the State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 the Department of Engineering Science Faculty of Innovation EngineeringMacao University of Science and TechnologyMacao 999078China

PAGER EXPLOSION:THE *** 2024 Lebanon pager explosions represent one of the most unexpected and devastating technological incidents in recent *** September 17 and 18,2024,thousands of pagers and walkie-talkies exploded simultaneously across Lebanon and parts of Syria,resulting in 42 deaths and more than 3500 *** handheld communication devices,previously regarded as secure and low-profile,were rigged with concealed explosives and remotely triggered by attackers.

关键词： injuries thoughts explosion

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Boosting the photo-induced charge transfer in melon by lengthening the melon chains through a facile regrowth approach

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Nano Research 2023年第2期16卷 2076-2084页

作者： Tongtong Li Shulan Wang Li Li Xiaohua Yu Huaze Zhu Ningdong Feng Ju Rong Yongqiang Yang Gang Liu Department of Chemistry College of ScienceNortheastern UniversityShenyang 110819China Shenyang National Laboratory for Materials Science Institute of Metal ResearchChinese Academy of ScienceShenyang 110016China School of Metallurgy Northeastern UniversityShenyang 110819China Faculty of Materials Science and Engineering Kunming University of Science and TechnologyKunming 650093China State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics Wuhan Center for Magnetic Resonance Key Laboratory of Magnetic Resonance in Biological SystemsWuhan Institute of Physics and MathematicsChinese Academy of SciencesWuhan 430071China

Melon-derived carbon nitride photocatalysts are a kind of star layered materials applied in solar energy *** in-planeπorbitals of the heptazine subunits and their overlap along the melon chains being the most distinctive feature,the condition of melon chains is of great importance for the atomic and energy band structures of carbon nitride photocatalysts as well as their *** principle,fragmentized melon chains in practical carbon nitride would lead to unfavorable structure disorder both in longitudinal and vertical directions,thus inhibiting the efficient transfer for photo-induced electrons and holes,***,with a facile regrowth approach,that is to treat carbon nitride under the atmosphere containing C/N species,the melon chains in carbon nitride were experimentally lengthened,which was reflected by the regularly fraction variation of different nitrogen species derived from X-ray photoelectron spectroscopy(XPS)*** prolonged melon chains led to dramatically improved in-plane structure order and boosted transfer of photo-induced electrons and holes,which were confirmed by the spontaneous photo-deposition of oxidants and *** combination of this regrowth approach with homogenously distributed nitrogen vacancies resulted in much enhanced visible-light-responsive ***,control experiments using nitrogen-vacancy-free carbon nitride and different C/N-contained precursors showed the compatibility as well as the critical factors for the lengthening effects of the regrowth *** hope that the facile but efficient regrowth approach could be widely adopted in melon-derived carbon nitride photocatalysts used for various applications.

关键词： carbon nitride melon chains structure order photocatalytic hydrogen evolution charge transfer charge separation

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GeneCompass:deciphering universal gene regulatory mechanisms with a knowledge-informed cross-species foundation model

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细胞研究（英文版） 2024年第12期34卷 830-845页

作者： Xiaodong Yang Guole Liu Guihai Feng Dechao Bu Pengfei Wang Jie Jiang Shubai Chen Qinmeng Yang Hefan Miao Yiyang Zhang Zhenpeng Man Zhongming Liang Zichen Wang Yaning Li Zheng Li Yana Liu Yao Tian Wenhao Liu Cong Li Ao Li Jingxi Dong Zhilong Hu Chen Fang Lina Cui Zixu Deng Haiping Jiang Wentao Cui Jiahao Zhang Zhaohui Yang Handong Li Xingjian He Liqun Zhong Jiaheng Zhou Zijian Wang Qingqing Long Ping Xu The X-Compass Consortiudm Hongmei Wang Zhen Meng Xuezhi Wang Yangang Wang Yong Wang Shihua Zhang Jingtao Guo Yi Zhao Yuanchun Zhou Fei Li Jing Liu Yiqiang Chen Ge Yang Xin Li Baoyang Hu Wei Li Fei Gao Leqian Yu Qi Gu Weiwei Zhai Zhengting Zou Jingqi Yu Wenhui Wu Xinxin Lin Yu Zou Yongshun Ren Fan Li Yixiao Zhao Yike Xin Longfei Han Shuyang Jiang Kai Ma Qicheng Chen Haoyuan Wang Huanhuan Wu Chaofan He Yilong Hu Shuyu Guo Yiyun Li Zaitian Wang Huimin He Shan Zong Jiajia Wang Yan Chen Chunyang Zhang Chengrui Wang Ran Zhang Meng Xiao Yining Wang Xin Qin Jiaxin Qin Chenhao Li Zhufeng Xu Zeyuan Zhang Xiaoning Qi Wuliang Huang Yaoru Luo Qinxuan Luo Ziwen Liu Teng Wang Yiming Huang Shirui Li Kangning Dong Qunlun Shen State Key Laboratory of Stem Cell and Reproductive Biology Institute of ZoologyChinese Academy of SciencesBeijingChina Beijing Key Laboratory of Mobile Computing and Pervasive Device Institute of Computing TechnologyChinese Academy of SciencesBeijingChina University of Chinese Academy of Sciences BeijingChina State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijingChina School of Artificial Intelligence University of Chinese Academy of SciencesBeijingChina State Key Laboratory of Stem Cell and Reproductive Biology Institute of ZoologyChinese Academy of SciencesBeijingChina Institute for Stem Cell and Regenerative Medicine Chinese Academy of SciencesBeijingChina Beijing Institute for Stem Cell and Regenerative Medicine BeijingChina Beijing Key Laboratory of Mobile Computing and Pervasive Device Institute of Computing TechnologyChinese Academy of SciencesBeijingChina University of Chinese Academy of Sciences BeijingChina Research Center for Ubiquitous Computing Systems Institute of Computing TechnologyChinese Academy of SciencesBeijingChina University of Chinese Academy of Sciences BeijingChina Computer Network Information Center Chinese Academy of SciencesBeijingChina Institute of Automation Chinese Academy of SciencesBeijingChina Beijing Key Laboratory of Mobile Computing and Pervasive Device Institute of Computing TechnologyChinese Academy of SciencesBeijingChina University of Chinese Academy of Sciences BeijingChina Computer Network Information Center Chinese Academy of SciencesBeijingChina State Key Laboratory of Stem Cell and Reproductive Biology Institute of ZoologyChinese Academy of SciencesBeijingChina University of Chinese Academy of Sciences BeijingChina University of Chinese Academy of Sciences BeijingChina CEMS NCMISHCMSMDISRCSDSAcademy of Mathematics and Systems ScienceChinese Academy of SciencesBeijingChina State Key Laboratory of Stem Cell and Reproductive Biology Institute of Zoology

Deciphering universal gene regulatory mechanisms in diverse organisms holds great potential for advancing our knowledge of fundamental life processes and facilitating clinical ***,the traditional research paradigm primarily focuses on individual model organisms and does not integrate various cell types across *** breakthroughs in single-cell sequencing and deep learning techniques present an unprecedented opportunity to address this *** this study,we built an extensive dataset of over 120 million human and mouse single-cell *** data preprocessing,we obtained 101,768,420 single-cell transcriptomes and developed a knowledge-informed cross-species foundation model,named *** pre-training,GeneCompass effectively integrated four types of prior biological knowledge to enhance our understanding of gene regulatory mechanisms in a self-supervised *** fine-tuning for multiple downstream tasks,GeneCompass outperformed state-of-the-art models in diverse applications for a single species and unlocked new realms of cross-species biological *** also employed GeneCompass to search for key factors associated with cell fate transition and showed that the predicted candidate genes could successfully induce the differentiation of human embryonic stem cells into the gonadal ***,GeneCompass demonstrates the advantages of using artificial intelligence technology to decipher universal gene regulatory mechanisms and shows tremendous potential for accelerating the discovery of critical cell fate regulators and candidate drug targets.

关键词： knowledge model with cross-species deciphering foundation genecompass informed mechanisms regulatory

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