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Towards resilient average consensus in multi-agent systems:a detection and compensation approach

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Frontiers of Information Technology & Electronic Engineering 2024年第2期25卷 182-196页

作者： Chongrong FANG wenzhe ZHENG Zhiyu HE Jianping HE Chengcheng ZHAO Jingpei WANG Department of Automation Shanghai Jiao Tong UniversityShanghai200240China State Key Laboratory of Industrial Control Technology Zhejiang UniversityHangzhou310027China Technology and Engineering Center for Space Utilization Chinese Academy of SciencesBeijing100094China

Consensus is one of the fundamental distributed control technologies for collaboration in multi-agent systems such as collaborative handling in intelligent manufacturing.In this paper,we study the problem of resilient average consensus for multi-agent systems with misbehaving nodes.To protect consensus value from being influenced by misbehaving nodes,we address this problem by detecting misbehaviors,mitigating the corresponding adverse impact,and achieving the resilient average consensus.General types of misbehaviors are considered,including attacks,accidental faults,and link failures.We characterize the adverse impact of misbehaving nodes in a distributed manner via two-hop communication information and develop a deterministic detection compensation based consensus(D-DCC)algorithm with a decaying fault-tolerant error bound.Considering scenarios wherein information sets are intermittently available due to link failures,a stochastic extension named stochastic detection compensation based consensus(S-DCC)algorithm is proposed.We prove that D-DCC and S-DCC allow nodes to asymptotically achieve resilient accurate average consensus and unbiased resilient average consensus in a statistical sense,respectively.Then,the Wasserstein distance is introduced to analyze the accuracy of S-DCC.Finally,extensive simulations are conducted to verify the effectiveness of the proposed algorithms.

关键词： Resilient consensus Multi-agent systems Malicious attacks Detection Compensation

Spatio-temporal Evolution Characteristics and Driving Forces of Winter Urban Heat Island:A Case Study of Rapid Urbanization Area of Fuzhou City,China

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Chinese Geographical Science 2024年第1期34卷 135-148页

作者： WANG Zili LU Chunyan SU Yanlin SU Yue YU Qianru LI wenzhe YANG Nuocheng College of Computer and Information Sciences Fujian Agriculture and Forestry UniversityFuzhou350002China Key Laboratory of Smart Agriculture and Forestry(Fujian Agriculture and Forestry University) Fujian Province UniversityFuzhou350002China College of Forestry Fujian Agriculture and Forestry UniversityFuzhou350002China

Under the influence of anthropogenic and climate change,the problems caused by urban heat island(UHI)has become increasingly prominent.In order to promote urban sustainable development and improve the quality of human settlements,it is significant for exploring the evolution characteristics of urban thermal environment and analyzing its driving forces.Taking the Landsat series images as the basic data sources,the winter land surface temperature(LST)of the rapid urbanization area of Fuzhou City in China was quantitatively retrieved from 2001 to 2021.Combing comprehensively the standard deviation ellipse model,profile analysis and GeoDetector model,the spatio-temporal evolution characteristics and influencing factors of the winter urban thermal environment were systematically analyzed.The results showed that the winter LST presented an increasing trend in the study area during 2001–2021,and the winter LST of the central urban regions was significantly higher than the suburbs.There was a strong UHI effect from 2001 to 2021with an expansion trend from the central urban regions to the suburbs and coastal areas in space scale.The LST of green lands and wetlands are significantly lower than croplands,artificial surface and unvegetated lands.Vegetation and water bodies had a significant mitigation effect on UHI,especially in the micro-scale.The winter UHI had been jointly driven by the underlying surface and socio-economic factors in a nonlinear or two-factor interactive enhancement mode,and socio-economic factors had played a leading role.This research could provide data support and decision-making references for rationally planning urban layout and promoting sustainable urban development.

关键词： winter urban heat island(UHI) rapid urbanization area land surface temperature(LST)retrieval profile analysis GeoDetector model Fuzhou City,China

Engineering of electrospun nanofiber scaffolds for repairing brain injury

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再生工程(英文)

再生工程(英文) 2023年第3期4卷 289-303页

作者： wenzhe du Tong Wang Shuyun Hu Jixin Luan Feng Tian Guolin Ma Jiajia Xue State Key Laboratory of Organic-Inorganic Composites Beijing University of Chemical TechnologyBeijing 100029PR China Beijing Laboratory of Biomedical Materials Beijing University of Chemical TechnologyBeijing 100029PR China Department of Radiology China-Japan Friendship HospitalNo.2 East Yinghua RoadChaoyang DistrictBeijing 100029PR China

Patients with brain injury can suffer disability and accompanying complications.Current clinical treatments have significant limitations to successful repair due to the complexity of the pathological processes and the inhibitory microenvironment that follows brain injury.Here,we conclude recent research progresses in engineering strate-gies based on electrospun nanofibers for promoting neural repair and functional recovery after brain injury.Firstly,we introduce the main pathological mechanisms of current brain injuries,pointing out the prospect of the application of electrospun nanofiber scaffolds compared to current clinical treatment strategies.We then discuss the repair strategies combining the structure and the morphology of nanofiber scaffolds with load therapeutic factors such as cells,drugs and growth factors.All of these strategies show potential for improving the repair of brain injury.Finally,we point out the challenges facing the effective treatment of brain injury,aiming to provide insights into the development of repairing scaffolds for brain function recovery from the perspective of clinical treatment.

关键词： Electrospun nanofibers Brain injury Engineering strategies Neural repair Functional recovery

Asymmetrically ligated single atomic nickel sites for efficient hydrogen peroxide electrosynthesis

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Nano Research 2024年第3期17卷 1094-1100页

作者： Xusheng Cheng Jinwen Hu wenzhe Shang Jingya Guo Cuncun Xin Songlin Zhang Suchan Song Wei Liu Yantao Shi State Key laboratory of Fine Chemicals Frontier Science Center for Smart MaterialsSchool of ChemistryDalian University of TechnologyDalian 116024China

Atomic transition-metal-nitrogen-carbon electrocatalysts hold great promise as alternatives to benchmark Pt in the oxygen reduction reaction.The pristine metal centers with quasi square-planar D_(4h) configuration,however,still suffer from unfavorable energetics and thereby strong activity/selectivity trade-off during the catalytic process.Here we present a ligand-field engineering of single-atom Ni-N-C catalysts to boost the sluggish kinetics via rationally constructing prototypical asymmetrically ligated Ni-N_(3)O_(1) sites.The as-obtained Ni-supported multi-walled carbon nanotubes with molten salt-treated(defined as Ni/CNS)catalyst delivered an excellent H_(2)O_(2) selectivity(>90%)within a wide potential window(0.2–0.7 V vs.reversible hydrogen electrode(RHE))and robust stability(for 10 h)in alkaline medium.Combined electron paramagnetic resonance and theoretical analysis rationalize this finding and demonstrate that the broken symmetry facilitates the electron transfer of a σ* to O–O orbital as compared to the Ni-N_(4) counterpart,playing an indispensable role in efficient O_(2) activation.

关键词： broken D4h single nickel sites oxygen reduction H_(2)O_(2)production

Enhanced activation of peroxymonosulfate by Fe/N co-doped ordered mesoporous carbon with dual active sites for efficient removal of m-cresol

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Chinese Journal of Chemical Engineering 2024年第1期65卷 130-144页

作者： Donghui Li wenzhe Wu Xue Ren Xixi Zhao Hongbing Song Meng Xiao Quanhong Zhu Hengjun Gai Tingting Huang College of Chemical Engineering Qingdao University of Science and TechnologyQingdao 266042China School of Chemical&Environmental Engineering China University of Mining&Technology-BeijingBeijing 100083China

The novel Fe-N co-doped ordered mesoporous carbon with high catalytic activity in m-cresol removal was prepared by urea-assisted impregnation and simple pyrolysis method.during the preparation of the Fe-NC catalyst,the complexation of N elements in urea could anchor Fe,and the formation of C3N4during urea pyrolysis could also prevent migration and aggregation of Fe species,which jointly improve the dispersion and stability of Fe.The FeN4sites and highly dispersed Fe nanoparticles synergistically trigger the dual-site peroxymonosulfate (PMS) activation for highly efficient m-cresol degradation,while the ordered mesoporous structure of the catalyst could improve the mass transfer rate of the catalytic process,which together promote catalytic degradation of m-cresol by PMS activation.Reactive oxygen species (ROS) analytic experiments demonstrate that the system degrades m-cresol by free radical pathway mainly based on SO_(4)^(-)·and·OH,and partially based on·OH as the active components,and a possible PMS activation mechanism by 5Fe-50 for m-cresol degradation was proposed.This study can provide theoretical guidance for the preparation of efficient and stable catalysts for the degradation of organic pollutants by activated PMS.

关键词： Degradation Peroxymonosulfate Fe(II)/Fe(III)/FeN4 Ordered mesopores carbon Catalyst Radical

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Licorice-saponin A3 is a broad-spectrum inhibitor for COVID-19 by targeting viral spike and anti-inflammation

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Journal of Pharmaceutical Analysis 2024年第1期14卷 115-127页

作者： Yang Yi wenzhe Li Kefang Liu Heng Xue Rong Yu Meng Zhang Yang-Oujie Bao Xinyuan Lai Jingjing Fan Yuxi Huang Jing Wang Xiaomeng Shi Junhua Li Hongping Wei Kuanhui Xiang Linjie Li Rong Zhang Xin Zhao Xue Qiao Hang Yang Min Ye State Key Laboratory of Natural and Biomimetic Drugs School of Pharmaceutical SciencesPeking UniversityBeijing100191China Yunnan Baiyao International Medical Research Center Peking UniversityBeijing100191China CAS Key Laboratory of Pathogen Microbiology and Immunology Institute of MicrobiologyChinese Academy of SciencesBeijing100101China CAS Key Laboratory of Special Pathogens and Biosafety Center for Biosafety Mega-ScienceWuhan Institute of VirologyChinese Academy of SciencesWuhan430071China University of Chinese Academy of Sciences Beijing100049China Department of Microbiology and Infectious Disease Center School of Basic Medical SciencesPeking University Health Science CenterPeking UniversityBeijing100191China Hubei Jiangxia Laboratory Wuhan430000China Shenzhen Children's Hospital ShenzhenGuangdong518036China

Currently,human health due to corona virus disease 2019(COVID-19)pandemic has been seriously threatened.The coronavirus severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)spike(S)protein plays a crucial role in virus transmission and several S-based therapeutic approaches have been approved for the treatment of COVID-19.However,the efficacy is compromised by the SARS-CoV-2 evolvement and mutation.Here we report the SARS-CoV-2 S protein receptor-binding domain(RBD)inhibitor licorice-saponin A3(A3)could widely inhibit RBD of SARS-CoV-2 variants,including Beta,Delta,and Omicron BA.1,XBB and BQ1.1.Furthermore,A3 could potently inhibit SARS-CoV-2 Omicron virus in Vero E6 cells,with EC50 of 1.016μM.The mechanism was related to binding with Y453 of RBD determined by hydrogen-deuterium exchange mass spectrometry(HDX-MS)analysis combined with quantum mechanics/molecular mechanics(QM/MM)simulations.Interestingly,phosphoproteomics analysis and multi fluorescent immunohistochemistry(mIHC)respectively indicated that A3 also inhibits host inflammation by directly modulating the JNK and p38 mitogen-activated protein kinase(MAPK)pathways and rebalancing the corresponding immune dysregulation.This work supports A3 as a promising broad-spectrum small molecule drug candidate for COVID-19.

关键词： COVID-19 Inflammation Licorice-saponin A3 Receptor-binding domain(RBD) SARS-CoV-2

波浪作用下平台吊放遥控水下机器人系统共振响应研究

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中国海洋大学学报（自然科学版） 2024年第3期54卷 99-106页

作者：李文喆常安腾曹航语杜君峰中国海洋大学工程学院山东青岛266100

针对平台吊放遥控水下机器人(Remotely operated underwater vehicle, ROV)过程中产生的复杂的共振现象会激发ROV剧烈的摆动和纵荡响应,从而影响下放安全的问题,本文基于Orcaflex软件建立了平台-吊缆-ROV耦合运动系统的数值仿真模型,采... 详细信息

针对平台吊放遥控水下机器人(Remotely operated underwater vehicle, ROV)过程中产生的复杂的共振现象会激发ROV剧烈的摆动和纵荡响应,从而影响下放安全的问题,本文基于Orcaflex软件建立了平台-吊缆-ROV耦合运动系统的数值仿真模型,采用时域分析方法,研究波浪作用下平台吊放ROV过程的空中下放阶段和水中下放阶段的共振响应特性。结果表明:空中下放阶段,单摆共振周期公式可以估算吊缆-ROV系统摆动周期,系统共振周期随缆长增加而不断增大;由于吊缆-ROV系统会同平台发生纵摇的谐振,下放过程中出现共振摆动和纵荡响应尤为剧烈的阶段。水中下放阶段,本文对单摆公式进行了修正,系统摆动周期估算误差低于4%;海水阻尼使系统共振摆角随缆长增加而减小,共振摆动得到明显抑制;流荷载导致吊缆-ROV系统共振周期的增大,且流速越大,共振周期增加越明显。在常见海况下放ROV时,下放过程存在共振区,可通过选择合适的下放速度以减小下放过程中的共振效应。

关键词：平台-吊缆-ROV耦合运动系统共振响应摆动角度吊缆张力峰值

火星乌托邦平原浅表层结构与物质组成:来自SHARAD雷达数据的约束

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中国科学：物理学、力学、天文学 2024年第4期54卷 199-220页

作者：台钰山法文哲北京大学地球与空间科学学院遥感与地理信息系统研究所北京100871

乌托邦平原是火星北方大平原的重要组成部分,中国“祝融号”火星车着陆在乌托邦平原南部,研究乌托邦平原表层结构和物质组成对于深入认识火星北半球的地质演化历史具有重要意义.本文以乌托邦平原内中亚马逊纪低地单元(mAl)、亚马逊纪和... 详细信息

乌托邦平原是火星北方大平原的重要组成部分,中国“祝融号”火星车着陆在乌托邦平原南部,研究乌托邦平原表层结构和物质组成对于深入认识火星北半球的地质演化历史具有重要意义.本文以乌托邦平原内中亚马逊纪低地单元(mAl)、亚马逊纪和西方纪火山单元(AHv)、晚西方纪低地单元(lHl)、早亚马逊纪盆地单元(eAb)、亚马逊纪火山单元(Av)以及亚马逊纪和西方纪撞击单元(AHi)6个主要地质单元为研究对象,使用火星轨道器激光高度计(MOLA)、浅表层雷达(SHARAD)和火星小型侦察成像光谱仪(CRISM)数据,计算各个地质单元的地形粗糙度,反演地层结构、介电常数与损耗角正切,并估算浅层物质组成、识别矿物类型,依此推演乌托邦平原的地质演化历史.结果表明,(1)AHv和Av地质单元表层物质是火山熔岩,其余地质单元表层物质属于北方荒原物质(VBF);(2)AHv和Av地质单元火山熔岩的厚度约为50 m,mAl,lHl,eAb和AHi地质单元VBF的厚度约为71-96 m,82-92 m,121-141 m,57-64 m;(3)在3 km×3 km的均方根高度计算窗口内,AHi地质单元地形最为粗糙,AHv和Av地质单元表面地形由火山作用主导,l Hl地质单元表面风化和沉积作用明显,mAl地质单元的粗糙度与lHl地质单元同纬度粗糙度特征相似,e Ab地质单元地形平坦,主要受沉积作用影响.区域地质作用是各地质单元次表层结构与表层物质形成的关键因素,火山、构造、撞击、沉积和风化作用对各地质单元具有不同程度的影响,本研究从多角度分析了各地质单元经历的地质过程,可以为“祝融号”火星车巡视区表面土壤成分以及来源认识提供背景信息,有望为研究乌托邦平原复杂的地质过程提供有效约束.

关键词：火星乌托邦平原表层物质粗糙度介电常数

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工程建设企业创新的影响机理

清华大学学报（自然科学版） 2024年第2期64卷 235-242页

作者：张亚坤张旭腾唐文哲清华大学水利水电工程系水圈科学与水利工程全国重点实验室北京100084

在业务开展过程中,工程建设企业要解决技术问题、协调多方关系、适应客户需求及市场条件、兼顾环境保护和社会发展,企业需要通过不断创新提升自身能力,如何促进创新已成为工程建设企业面临的关键问题。该文从工程建设企业的视角出发,通... 详细信息

在业务开展过程中,工程建设企业要解决技术问题、协调多方关系、适应客户需求及市场条件、兼顾环境保护和社会发展,企业需要通过不断创新提升自身能力,如何促进创新已成为工程建设企业面临的关键问题。该文从工程建设企业的视角出发,通过问卷调研和访谈对工程建设企业创新进行了系统、深入的分析,构建了工程建设企业创新理论模型,综合考虑工程项目创新和企业创新能力,揭示了工程建设企业创新的影响机理及其对企业绩效的关键作用,揭示了企业创新制度、组织间知识共享、项目实施流程、工程项目创新、企业创新能力与企业绩效之间的关系。结果表明:企业创新制度能够影响组织间知识共享和项目实施流程,进而促进工程项目创新和提高企业创新能力,最终实现企业绩效提升。该研究结果可为工程建设企业提供重要的理论和实践指导。

关键词：建设企业工程项目创新企业创新能力企业绩效创新管理