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STRONG CONVERGENCE OF THE EULER-MARUYAMA METHOD FOR NONLINEAR STOCHASTIC VOLTERRA INTEGRAL EQUATIONS WITH TIME-DEPENDENT DELAY

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Journal of Computational Mathematics 2022年第3期40卷 437-452页

作者： siyuan qi Guangqiang Lan College of Mathematics and Physics Beijing University of Chemical TechnologyBeijing 100029China

We consider a nonlinear stochastic Volterra integral equation with time-dependent delay and the corresponding Euler-Maruyama method in this *** convergence rate(at fixed point)of the corresponding Euler-Maruyama method is obtained when coefficients f and g both satisfy local Lipschitz and linear growth *** example is provided to interpret our *** result generalizes and improves the conclusion in[***,***,***,Strong convergence of the semi-implicit Euler method for nonlinear stochastic Volterra integral equations with constant delay,***.,348(2019)385-398.]

关键词： Stochastic Volterra integral equation Euler-Maruyama method Strong convergence Time-dependent delay

Dark,Beyond Deep:A Paradigm Shift to Cognitive AI with Humanlike Common Sense

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Engineering 2020年第3期6卷 310-345页

作者： Yixin Zhu Tao Gao Lifeng Fan siyuan Huang Mark Edmonds Hangxin Liu Feng Gao Chi Zhang siyuan qi Ying Nian Wu Joshua B.Tenenbaum Song-Chun Zhu Center for Vision CognitionLearningand AutonomyUniversity of CaliforniaLos AngelesCA 90095USA Center for Brains Mindsand MachinesMassachusetts Institute of TechnologyCambridgeMA 02139USA

Recent progress in deep learning is essentially based on a“big data for small tasks”paradigm,under which massive amounts of data are used to train a classifier for a single narrow *** this paper,we call for a shift that flips this paradigm upside ***,we propose a“small data for big tasks”paradigm,wherein a single artificial intelligence(AI)system is challenged to develop“common sense,”enabling it to solve a wide range of tasks with little training *** illustrate the potential power of this new paradigm by reviewing models of common sense that synthesize recent breakthroughs in both machine and human *** identify functionality,physics,intent,causality,and utility(FPICU)as the five core domains of cognitive AI with humanlike common *** taken as a unified concept,FPICU is concerned with the questions of“why”and“how,”beyond the dominant“what”and“where”framework for understanding *** are invisible in terms of pixels but nevertheless drive the creation,maintenance,and development of visual *** therefore coin them the“dark matter”of *** as our universe cannot be understood by merely studying observable matter,we argue that vision cannot be understood without studying *** demonstrate the power of this perspective to develop cognitive AI systems with humanlike common sense by showing how to observe and apply FPICU with little training data to solve a wide range of challenging tasks,including tool use,planning,utility inference,and social *** summary,we argue that the next generation of AI must embrace“dark”humanlike common sense for solving novel tasks.

关键词： Computer vision Artificial intelligence Causality Intuitive physics Functionality Perceived intent Utility

腹膜透析患者健康素养潜在剖面分析及自我管理能力差异比较

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护理学杂志 2024年第8期39卷 15-19页

作者：李慧林来李鑫赵志慧杨倩倩胡世海齐思远王丽娜新乡医学院护理学院河南新乡453003

目的探讨腹膜透析患者健康素养的潜在类别及其与自我管理能力的关系。方法选取肾内科346例患者为研究对象,采用一般资料调查表、慢性病病人健康素养量表和持续非卧床腹膜透析患者自我管理量表进行调查。采用Mplus 8.3进行潜在剖面分析,S... 详细信息

目的探讨腹膜透析患者健康素养的潜在类别及其与自我管理能力的关系。方法选取肾内科346例患者为研究对象,采用一般资料调查表、慢性病病人健康素养量表和持续非卧床腹膜透析患者自我管理量表进行调查。采用Mplus 8.3进行潜在剖面分析,SPSS25.0软件比较不同类别健康素养患者的自我管理能力差异。结果腹膜透析患者健康素养水平可分为低健康素养-低经济支持型(21.10%)、中等健康素养-接受良好型(63.58%)、高健康素养-高改善意愿型(15.32%)3种潜在类别。多元logistic回归分析结果显示,年龄、文化程度、长期居住地、透析时间及是否发生过腹膜炎是影响腹膜透析患者健康素养类别的因素(均P<0.05)。不同健康素养类别的腹膜透析患者自我管理能力各维度得分及总分比较,差异有统计学意义(均P<0.05)。结论腹膜透析患者健康素养存在3种潜在类别,不同潜在类别的腹膜透析患者自我管理能力存在差异,专科护士应基于腹膜透析患者不同类别特征开展针对性干预,提高其自我管理能力。

关键词：肾脏疾病腹膜透析肾脏替代治疗居家治疗健康素养健康管理自我管理潜在剖面分析

Chemical simulation teaching system based on virtual reality and gesture interaction

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虚拟现实与智能硬件（中英文） 2024年第2期6卷 148-168页

作者： Dengzhen LU Hengyi LI Boyu qiU siyuan LIU Shuhan qi School of Computer Science and Technology Harbin Institute of TechnologyShenzhen 518055China Pengcheng Laboratory Shenzhen 518052China

Background Most existing chemical experiment teaching systems lack solid immersive experiences,making it difficult to engage *** address these challenges,we propose a chemical simulation teaching system based on virtual reality and gesture *** The parameters of the models were obtained through actual investigation,whereby Blender and 3DS MAX were used to model and import these parameters into a physics *** establishing an interface for the physics engine,gesture interaction hardware,and virtual reality(VR)helmet,a highly realistic chemical experiment environment was *** code script logic,particle systems,as well as other systems,chemical phenomena were ***,we created an online teaching platform using streaming media and databases to address the problems of distance *** The proposed system was evaluated against two mainstream products in the *** the experiments,the proposed system outperformed the other products in terms of fidelity and *** The proposed system which offers realistic simulations and practicability,can help improve the high school chemistry experimental education.

关键词： Chemical experiment simulation Gesture interaction Virtual reality Model establishment Process control Streaming media Database

Sorafenib inhibits ossification of the posterior longitudinal ligament by blocking LOXL2-mediated vascularization

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Bone Research 2024年第2期12卷 372-389页

作者： Longqing Wang Wenhao Jiang siyuan Zhao Dong Xie qing Chen qi Zhao Hao Wu Jian Luo Lili Yang Spine Center Department of OrthopaedicsShanghai Changzheng HospitalSecond Affiliated Hospital of Naval Medical UniversityShanghai 200003PR China Yangzhi Rehabilitation Hospital(Shanghai Sunshine Rehabilitation Center) Tongji University School of MedicineShanghaiPR China Shanghai Key Laboratory of Regulatory Biology Institute of Biomedical Sciences and School of Life SciencesEast China Normal UniversityShanghaiPR China Department of Orthopaedics No.905 Hospital of PLA NavyShanghaiPR China

Ossification of the Posterior Longitudinal Ligament(OPLL)is a degenerative hyperostosis disease characterized by the transformation of the soft and elastic vertebral ligament into bone,resulting in limited spinal mobility and nerve *** both bulk and single-cell RNA sequencing,we elucidate the molecular characteristics,cellular components,and their evolution during the OPLL process at a single-cell resolution,and validate these findings in clinical *** study also uncovers the capability of ligament stem cells to exhibit endothelial cell-like phenotypes in vitro and in ***,our study identifies LOXL2 as a key regulator in this *** gain-and loss-of-function studies,we elucidate the role of LOXL2 in the endothelial-like differentiation of ligament *** acts via the HIF1A pathway,promoting the secretion of downstream VEGFA and *** function is not related to the enzymatic activity of ***,we identify sorafenib,a broad-spectrum tyrosine kinase inhibitor,as an effective suppressor of LOXL2-mediated vascular *** disrupting the coupling between vascularization and osteogenesis,sorafenib demonstrates significant inhibition of OPLL progression in both BMP-induced and enpp1 deficiency-induced animal models while having no discernible effect on normal bone *** findings underscore the potential of sorafenib as a therapeutic intervention for OPLL.

关键词： LOXL2 ligament finding

Strong nonlinear optical processes with extraordinary polarization anisotropy in inversionsymmetry broken two-dimensional PdPSe

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Light(Science & Applications) 2024年第8期13卷 1524-1533页

作者： Song Zhu Ruihuan Duan Xiaodong Xu Fangyuan Sun Wenduo Chen Fakun Wang siyuan Li Ming Ye Xin Zhou Jinluo Cheng Yao Wu Houkun Liang Junichiro Kono Xingji Li Zheng Liu qi Jie Wang School of Electrical and Electronic Engineering Nanyang Technological University639798 SingaporeSingapore School of Material Science and Engineering Nanyang Technological University639798 SingaporeSingapore CINTRA CNRS/NTU/THALES UMI 3288Research Techno PlazaNanyang Technological University637371 SingaporeSingapore School of Materials Science and Engineering Harbin Institute of Technology150001 HarbinChina Department of Chemistry National University of Singapore117543 SingaporeSingapore GPL Photonics Lab State Key Laboratory of Applied OpticsChangchun Institute of OpticsFine Mechanics and PhysicsChinese Academy of Sciences130033 ChangchunChina School of Electronics and Information Engineering Sichuan University610064 ChengduSichuanChina School of Physical and Mathematical Sciences Nanyang Technological University637371 SingaporeSingapore Departments of Electrical and Computer Engineering Physics and Astronomyand Materials Science and NanoEngineeringRice UniversityHoustonTXUSA

Nonlinear optical activities,especially second harmonic generation(SHG),are key phenomena in inversion-symmetrybroken two-dimensional(2D)transition metal dichalcogenides(TMDCs).On the other hand,anisotropic nonlinear optical processes are important for unique applications in nano-nonlinear photonic devices with polarization functions,having become one of focused research topics in the field of nonlinear ***,the strong nonlinearity and strong optical anisotropy do not exist simultaneously in common 2D ***,we demonstrate strong secondorder and third-order susceptibilities of 64 pm/V and 6.2×10^(-19)m^(2)/V^(2),respectively,in the even-layer PdPSe,which has not been discovered in other common TMDCs(e.g.,MoS2).Strikingly,it also simultaneously exhibited strong SHG anisotropy with an anisotropic ratio of~45,which is the largest reported among all 2D materials to date,to the best of our *** addition,the SHG anisotropy ratio can be harnessed from 0.12 to 45(375 times)by varying the excitation wavelength due to the dispersion ofχ^(2)*** an illustrative example,we further demonstrate polarized SHG imaging for potential applications in crystal orientation identification and polarization-dependent spatial *** findings in 2D PdPSe are promising for nonlinear nanophotonic and optoelectronic applications.

关键词： materials. anisotropy nonlinear

Infection with SARS-CoV-2 can cause pancreatic impairment

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Signal Transduction and Targeted Therapy 2024年第5期9卷 2143-2160页

作者： Wei Deng Linlin Bao Zhiqi Song Ling Zhang Pin Yu Yanfeng Xu Jue Wang Wenjie Zhao Xiuqin Zhang Yunlin Han Yanhong Li Jiangning Liu qi Lv Xujian Liang Fengdi Li Feifei qi Ran Deng siyuan Wang Yibai Xiong Ruiping Xiao Hongyang Wang Chuan qin NHC Key Laboratory of Comparative Medicine Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious DiseasesInstitute of Laboratory Animal ScienceChinese Academy of Medical Sciences and Comparative Medicine CenterPeking Union Medical CollegeBeijing 100021China Institute of Molecular Medicine College of Future TechnologyPeking UniversityBeijing 100871China Beijing Key Laboratory of Cardiometabolic Molecular Medicine Peking UniversityBeijing 100871China State Key Laboratory of Biomembrane and Membrane Biotechnology Peking-Tsinghua Center for Life SciencesBeijing 100871China Chinese Academy of Engineering Eastern Hepatobiliary Surgery Hospital225 Changhai RoadYangpu DistrictShanghai 200438China International Co-operation Laboratory on Signal Transduction Eastern Hepatobiliary Surgery InstituteSecond Military Medical UniversityShanghai 200438PR China National Laboratory for Oncogenes and Related Genes Cancer Institute of Shanghai Jiao Tong UniversityShanghai 200441PR China Changping National laboratory(CPNL) Beijing 102206China State Key Laboratory of Respiratory Health and Multimorbidity National Health Commission of the People’s Republic of ChinaBeijingPR China

Evidence suggests associations between COVID-19 patients or vaccines and glycometabolic dysfunction and an even higher risk of the occurrence of ***,we retrospectively analyzed pancreatic lesions in autopsy tissues from 67 SARS-CoV-2 infected non-human primates(NHPs)models and 121 vaccinated and infected NHPs from 2020 to 2023 and COVID-19 ***-label immunofluorescence revealed direct infection of both exocrine and endocrine pancreatic cells by the virus in NHPs and *** and limited phenotypic and histopathological changes were observed in adult *** proteomics and metabolomics results indicated metabolic disorders,mainly enriched in insulin resistance pathways,in infected adult NHPs,along with elevated fasting C-peptide and C-peptide/glucose ratio ***,in elder COVID-19 NHPs,SARS-CoV-2 infection causes loss of beta(β)cells and lower expressed-insulin in situ characterized by islet amyloidosis and necrosis,activation ofα-SMA and aggravated fibrosis consisting of lower collagen in serum,an increase of pancreatic inflammation and stress markers,ICAM-1 and G3BP1,along with more severe glycometabolic *** contrast,vaccination maintained glucose homeostasis by activating insulin receptorαand insulin receptorβ.Overall,the cumulative risk of diabetes post-COVID-19 is closely tied to age,suggesting more attention should be paid to blood sugar management in elderly COVID-19 patients.

关键词： infected elevated homeostasis

Aloin ameliorates cecal ligation and puncture-induced sepsis in mice by attenuating inflammation and modulating gut microbiota

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Food Science and Human Wellness 2024年

作者： Jingqian Su Jianbin Xiao siyuan Chen Heng Zhao Xiaoni Zhang Zhihua Feng Kunsen Chen Biyun Guan Wenzhi Chen Youqiang Chen Duo Chen qi Chen Fujian Key Laboratory of Innate Immune Biology， Biomedical Research Center of South China， College of Life Science， Fujian Normal University The Public Service Platform for Industrialization Development Technology of Marine Biological Medicine and Products of the State Oceanic Administration， Fujian Key Laboratory of Special Marine Bioresource Sustainable Utilization， Southern Institute of Oceanography， College of Life Science， Fujian Normal University

Most Aloe species are used as new food or functional food ingredient. Even though widely known for its health benefits， the anti-inflammatory effects and underlying mechanisms of Aloin (Alo)， an anthraquinone compound isolated from plant species of the genus Aloe， remain unidentified. Here， we investigated the protective effects of Alo against cecal ligation and puncture (CLP)-induced sepsis and microflora in mice. Alo significantly improved CLP-induced sepsis and the survival rate of septic mice， downregulated the expression of proinflammatory factors， and decreased the infiltration of inflammatory cells in tissues. Alo upregulated the proportion of peritoneal macrophages， reduced the number of peritoneal bacteria， decreased the content of short-chain fatty acids and bile acids in the abdominal cavity， and suppressed TLR-2/4/NF-κB/NLRP3/Caspase-1/3/8 signaling. Furthermore， Alo altered the composition of the microbiome and promoted the growth of Lactobacillus， which showed a stronger anti-inflammatory effect. Whole-genome analysis identified the genes Saa3， Il10， Fpr1， and Eif4a1 associated with the protective effects of Alo in mice with CLP-induced sepsis. Overall， our results provide novel insights into the therapeutic potential and mechanism of action of Alo in the treatment of sepsis.

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AI for organic and polymer synthesis

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Science China Chemistry 2024年第8期67卷 2461-2496页

作者： Xin Hong qi Yang Kuangbiao Liao Jianfeng Pei Mao Chen Fanyang Mo Hua Lu Wen-Bin Zhang Haisen Zhou Jiaxiao Chen Lebin Su Shuo-qing Zhang siyuan Liu Xu Huang Yi-Zhou Sun Yuxiang Wang Zexi Zhang Zhunzhun Yu Sanzhong Luo Xue-Feng Fu Shu-Li You Center of Chemistry for Frontier Technologies Department of ChemistryZhejiang UniversityHangzhou 310027China Center of Basic Molecular Science Department of ChemistryTsinghua UniversityBeijing 100084China Guangzhou National Laboratory Guangzhou 510005China Center for Quantitative Biology Academy for Advanced Interdisciplinary StudiesPeking UniversityBeijing 100871China State Key Laboratory of Molecular Engineering of Polymers Department of Macromolecular ScienceFudan UniversityShanghai 200433China School of Materials Science and Engineering Peking UniversityBeijing 100871China Beijing National Laboratory for Molecular Sciences Center for Soft Matter Science and EngineeringKey Laboratory of Polymer Chemistry and Physics of Ministry of EducationCollege of Chemistry and Molecular EngineeringPeking UniversityBeijing 100871China AI for Science(AI4S)-Preferred Program Shenzhen Graduate SchoolPeking UniversityShenzhen 518055China State Key Laboratory of Chemical Biology Shanghai Institute of Organic ChemistryUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai 200032China Department of Chemical Sciences National Natural Science Foundation of ChinaBeijing 100085China State Key Laboratory of Organometallic Chemistry Shanghai Institute of Organic ChemistryChinese Academy of SciencesShanghai 200032China

Recent years have witnessed the transformative impact from the integration of artificial intelligence with organic and polymer synthesis. This synergy offers innovative and intelligent solutions to a range of classic problems in synthetic chemistry. These exciting advancements include the prediction of molecular property, multi-step retrosynthetic pathway planning, elucidation of the structure-performance relationship of single-step transformation, establishment of the quantitative linkage between polymer structures and their functions, design and optimization of polymerization process, prediction of the structure and sequence of biological macromolecules, as well as automated and intelligent synthesis platforms. Chemists can now explore synthetic chemistry with unprecedented precision and efficiency, creating novel reactions, catalysts, and polymer materials under the datadriven paradigm. Despite these thrilling developments, the field of artificial intelligence(AI) synthetic chemistry is still in its infancy, facing challenges and limitations in terms of data openness, model interpretability, as well as software and hardware support. This review aims to provide an overview of the current progress, key challenges, and future development suggestions in the interdisciplinary field between AI and synthetic chemistry. It is hoped that this overview will offer readers a comprehensive understanding of this emerging field, inspiring and promoting further scientific research and development.

关键词： organic synthesis polymer synthesis machine learning prediction chemical database automated synthesis