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A social computing method for energy safety

Journal of Safety Science and Resilience 2024年第1期5卷 64-82页

作者： Pengfei Zhao Shuangqi Li Zhidong Cao Paul Jen-Hwa Hu daniel dajun zeng Da Xie Yichen Shen Jiangfeng Li Tianyi Luo Institute of Automation Chinese Academy of SciencesUniversity of Chinese Academy of SciencesBeijing 100090China Systems Engineering Cornell UniversityIthacaNY 14853USA David Eccles School of Business the University of UtahUtahUSA Department of Electrical Engineering Shanghai Jiao Tong UniversityShanghai 200240China China University of Mining and Technology China

Information and communication technologies enable the transformation of traditional energy systems into cyber-physical energy systems(CPESs),but such systems have also become popular targets of ***,available methods for evaluating the impacts of cyberattacks suffer from limited resilience,efficacy,and practical *** mitigate their potentially disastrous consequences,this study suggests a two-stage,discrepancy-based optimization approach that considers both preparatory actions and response measures,integrating concepts from social *** proposed Kullback-Leibler divergence-based,distributionally robust optimization(KDR)method has a hierarchical,two-stage objective function that incorporates the operating costs of both system infrastructures(e.g.,energy resources,reserve capacity)and real-time response measures(e.g.,load shedding,demand-side management,electric vehicle charging station management).By incorporating social computing principles,the optimization framework can also capture the social behavior and interactions of energy consumers in response to *** preparatory stage entails day-ahead operational decisions,leveraging insights from social computing to model and predict the behaviors of individuals and communities affected by potential *** mitigation stage generates responses designed to contain the consequences of the attack by directing and optimizing energy use from the demand side,taking into account the social context and preferences of energy consumers,to ensure resilient,economically efficient CPES *** method can determine optimal schemes in both stages,accounting for the social dimensions of the *** original disaster mitigation model uses an abstract formulation to develop a risk-neutral model that characterizes cyberattacks through KDR,incorporating social computing techniques to enhance the understanding and response to cyber *** approach can mitigate the impacts more

关键词： Cyberattacks Cyber-physical energy systems Distributionally robust optimization False data injections Two-stage modeling Social computing

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Constructing public health evidence knowledge graph for decision-making support from COVID-19 literature of modelling study

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Journal of Safety Science and Resilience 2021年第3期2卷 146-156页

作者： Yunrong Yang Zhidong Cao Pengfei Zhao dajun daniel zeng Qingpeng Zhang Yin Luo The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100190China Shenzhen Artificial Intelligence and Data Science Institute(Longhua) ShenzhenChina School of Data Science City University of Hong Kong-Hong Kong SARChina

The needs of mitigating COVID-19 epidemic prompt policymakers to make public health-related decision under the guidelines of *** unstructured COVID-19 publications make it challenging for policymakers to obtain relevant *** graphs(KGs)can formalize unstructured knowledge into structured form and have been used in supporting decision-making ***,we introduce a novel framework that can ex-tract the COVID-19 public health evidence knowledge graph(CPHE-KG)from papers relating to a modelling *** screen out a corpus of 3096 COVID-19 modelling study papers by performing a literature assessment *** define a novel annotation schema to construct the COVID-19 modelling study-related IE dataset(CPHIE).We also propose a novel multi-tasks document-level information extraction model SS-DYGIE++based on the *** the model on the new corpus,we construct CPHE-KG containing 60,967 entities and 51,140 ***,we seek to apply our KG to support evidence querying and evidence mapping *** SS-DYGIE++(SpanBERT)model has achieved a F1 score of 0.77 and 0.55 respectively in document-level entity recognition and coreference resolution *** has also shown high performance in the relation identification *** evidence querying,our KG can present the dynamic transmissions of COVID-19 pandemic in different countries and *** evidence mapping of our KG can show the impacts of variable non-pharmacological interventions to COVID-19 *** demonstrates the quality of our KG and shows that it has the potential to support COVID-19 policy making in public health.

关键词： Evidence-based public health Knowledge graph COVID-19 Decision-making support

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Platform governance in the era of AI and the digital economy

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Frontiers of Engineering Management 2023年第1期10卷 177-182页

作者： Xiaolong ZHENG Gang ZHOU daniel dajun zeng The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China School of Artificial Intelligence Chinese Academy of SciencesBeijing 100190China

1 Introduction Companies that supply online services such as Twitter,Weibo,and Taobao are known as platform companies(Gorwa,2019).Many top companies offer their services through platforms and use Internet technology to facilitate economic transactions,transmit information,connect people,and make predictions(Fenwick et al.,2019).Such platforms cover all areas of society,including politics(Gillespie,2017),labor relations,cultural production(Scholz,2016;van Doorn,2017),and consumption(Nieborg and Poell,2018).The rapid development of Internet technology has increased the influence of network *** platforms have changed the rules of global business operations and influenced the global political *** some high-profile negative events,calls for strengthening the regulation of online platforms and holding them accountable have been growing(Suzor,2019).

关键词： companies services operations

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Adaptively temporal graph convolution model for epidemic prediction of multiple age groups

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Fundamental Research 2022年第2期2卷 311-320页

作者： Yuejiao Wang dajun daniel zeng Qingpeng Zhang Pengfei Zhao Xiaoli Wang Quanyi Wang Yin Luo Zhidong Cao The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijingChina School of Artificial Intelligence University of Chinese Academy of SciencesBeijingChina Shenzhen Artificial Intelligence and Data Science Institute(Longhua) ShenzhenChina School of Data Science City University of Hong Kong-Hong Kong SARChina Institute for Infectious Disease and Endemic Disease Control Beijing Center for Disease Prevention and Control BeijingChina

Introduction:Multivariate time series prediction of infectious diseases is significant to public health,and the deep learning method has attracted increasing attention in this research *** and methods:An adaptively temporal graph convolution(ATGCN)model,which leams the contact patterns of multiple age groups in a graph-based approach,was proposed for COVID-19 and influenza *** compared ATGCN with autoregressive models,deep sequence learning models,and experience-based ATGCN models in short-term and long-term prediction ***:Results showed that the ATGCN model performed better than the autoregressive models and the deep sequence learning models on two datasets in both short-term(12.5%and 10%improvements on RMSE)and longterm(12.4%and 5%improvements on RMSE)prediction *** the RMSE of ATGCN predictions fluctuated least in different age groups of COVID-19(0.029±0.003)and influenza(0.059±0.008).Compared with the Ones-ATGCN model or the Pre-ATGCN model,the ATGCN model was more robust in performance,with RMSE of 0.0293 and 0.06 on two datasets when horizon is ***:Our research indicates a broad application prospect of deep learning in the field of infectious disease *** characteristics and domain knowledge of infectious diseases should be further applied to the design of deep learning models and feature ***:The ATGCN model addressed the multivariate time series forecasting in a graph-based deep learning approach and achieved robust prediction on the confirmed cases of multiple age groups,indicating its great potentials for exploring the implicit interactions of multivariate variables.

关键词： Graph convolution model Infectious disease prediction Multiple age group Multivariate time series Public health

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The BCL-2 inhibitor APG-2575 resets tumor-associated macrophages toward the M1 phenotype,promoting a favorable response to anti-PD-1 therapy via NLRP3 activation

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Cellular & Molecular Immunology 2024年第1期21卷 60-79页

作者： Fan Luo Han Li Wenjuan Ma Jiaxin Cao Qun Chen Feiteng Lu Miaozhen Qiu Penghui Zhou zengfei Xia Kangmei zeng Jianhua Zhan Ting Zhou Qiuyun Luo Wentao Pan Lin Zhang Chaozhuo Lin Yan Huang Li Zhang dajun Yang Hongyun Zhao State Key Laboratory of Oncology in South China Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapyGuangdong Provincial Clinical Research Center for CancerSun Yat-sen University Cancer CenterGuangzhouChina Ascentage Pharma(Suzhou)Co Ltd 218 Xinghu StreetSuzhouJiangsu ProvinceChina

The main challenges in the use of immune checkpoint inhibitors(ICIs)are ascribed to the immunosuppressive tumor microenvironment and the lack of sufficient infiltration of activated CD8+T *** the tumor microenvironment(TME)from“cold”to“hot”and thus more likely to potentiate the effects of ICIs is a promising strategy for cancer *** found that the selective BCL-2 inhibitor APG-2575 can enhance the antitumor efficacy of anti-PD-1 therapy in syngeneic and humanized CD34+mouse *** single-cell RNA sequencing,we found that APG-2575 polarized M2-like immunosuppressive macrophages toward the M1-like immunostimulatory phenotype with increased CCL5 and CXCL10 secretion,restoring T-cell function and promoting a favorable immunotherapy ***,we demonstrated that APG-2575 directly binds to NF-κB p65 to activate NLRP3 signaling,thereby mediating macrophage repolarization and the activation of proinflammatory caspases and subsequently increasing CCL5 and CXCL10 chemokine *** a result,APG-2575-induced macrophage repolarization could remodel the tumor immune microenvironment,thus improving tumor immunosuppression and further enhancing antitumor T-cell *** immunohistochemistry confirmed that patients with better immunotherapeutic efficacy had higher CD86,p-NF-κB p65 and NLRP3 levels,accompanied by lower CD206 expression on ***,these data provide evidence that further study on APG-2575 in combination with immunotherapy for tumor treatment is required.

关键词： BCL-2 APG-2575 ICIs Macrophages NLRP3

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Preparation and antibacterial properties of polycaprolactone/quaternized chitosan blends

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Chinese Journal of Chemical Engineering 2021年第4期34卷 462-471页

作者： Anrong zeng Yangtao Wang dajun Li Juedong Guo Qiaowen Chen College of Materials and Chemical Engineering Liming Vocational UniversityQuanzhou 362000China

This article is a preliminary study on antibacterial blends of polycaprolactone,chitosan and quaternized chitosan by melt *** were characterized,mechanical test and antibacterial evaluation against Escherichia coli and Staphylococcus aureus,were *** showed that the antibacterial potential of chitosan was limited in blends and polycaprolactone/chitosan did not show significant antibacterial effect compared with neat polycaprolactone(PCL).Inhibition rates of polycaprolactone/quaternized chitosan were 39.2%99.9%against Escherichia coli,while inhibition rate was 40.9%99.9%against Staphylococcus *** quaternized chitosan(QCTS)content was up to 20%,blends exhibited 99.9%inhibition rates against both two types of bacteria.

关键词： Chitosan Antibacterial properties Blend Polymers Mechanical properties Quaternized chitosan

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以芳基重氮盐为芳基前体电化学合成芳基取代的苯并噻吩和菲

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电化学（中英文） 2024年第4期30卷 6-48页

作者：蓝丽媛蒋洋叶 R.daniel Little 曾程初北京工业大学环境与生命学院北京100124 Department of Chemistry&Biochemistry University of CaliforniaSanta BarbaraCalifornia 93106USA

芳基取代的苯并噻吩和菲是药物化学和材料科学中的重要结构单元。尽管已经投入了很多来制备这类化合物,并且已经开发了多种方法来构建2-取代的苯并噻吩核心结构,但仍然需要环境友好且有效的合成方法。基于我们以前的以芳基重氮盐为芳基... 详细信息

芳基取代的苯并噻吩和菲是药物化学和材料科学中的重要结构单元。尽管已经投入了很多来制备这类化合物,并且已经开发了多种方法来构建2-取代的苯并噻吩核心结构,但仍然需要环境友好且有效的合成方法。基于我们以前的以芳基重氮盐为芳基前体的电化学Minisci型芳基化反应,以及来自Konig小组的工作,本文使用成对电解以苯重氮盐为芳基前体来获得2-芳基苯并噻吩和9-芳基菲。首先,选择2-甲硫基苯重氮盐1a和4-甲基苯乙炔2a作为模型底物,通过考察溶剂、支持电解质、电极材料和电流密度来优化反应条件。经过大量的努力,发现在装备有石墨毡阳极、镍片阴极的单室电解池中,使用n-Bu_(4)NBF_(4)作为支持电解质,DMSO作为溶剂,控制在4mA·cm^(-2)条件下恒流电解,获得89%产率的所需产物3a。在最佳条件下,考察该电化学方案和底物范围的普适性。结果表明,烷基乙炔和芳基乙炔都适用于该方法,并成功地得到了一系列芳基取代的苯并噻吩衍生物。考虑到菲类化合物在药物化学和材料科学中的广泛应用,将此方案应用到菲衍生物的合成中,获得了相应的9-芳基菲衍生物。最后,通过循环伏安法分析了可能的机理。2-甲硫基苯重氮盐1a在CH_(3)CN中相对于Ag/Ag^(+)在-0.4 V处产生一个显著的不可逆还原峰,而在扫描电位窗口中没有检测到苯乙炔2a的信号。此外,尽管峰电流略有增加,2a的存在没有改变1a的还原峰电位。这些结果表明1a的还原比2a的还原容易。基于循环伏安分析和光催化结果,我们提出了成对电解机制,即芳基重氮盐1a在阴极的电化学还原产生芳基5a,然后芳基5a加成到苯乙炔上,在分子内环化后产生乙烯基6a和磺酰基7a。最后,7a的阳极氧化,接着用DMSO脱甲基化,生成目标产物3a。总之,我们发展了一种成对电解法来合成2-芳基苯并噻吩衍生物和9-芳基菲衍生物。该方案具有广泛的底物范围和官能团耐受性,进一步证明了芳基重氮盐作为多用途芳基自由基来源通过电化学还原产生芳基自由基的实用性。

关键词：苯并噻吩菲成对电合成芳基重氮盐芳基自由基

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An epidemiological analysis of the Beijing 2008 Hand-Foot-Mouth epidemic

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Chinese Science Bulletin 2010年第12期55卷 1142-1149页

作者： CAO ZhiDong zeng dajun WANG QuanYi ZHENG XiaoLong WANG FeiYue Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing 100190 China Beijing Center for Disease Control and Prevention Beijing 100013 China

This paper presents an empirical analysis of the epidemiological data concerning the 18445 HFMD-infected cases in Beijing in *** main findings are as follows.(i) Seasonal variations in incidence were observed,with a peak observed during the summer season,especially in *** patients outnumber female patients by 1.57:1.(ii) Most cases occurred in children 4 years old or *** Weibull distribution and Gamma distribution as to model fitness when analyzing patient ages,log-normal distribution indicates that the estimated mean age is 3.4 years.(iii) The age distribution seems to indicate cyclic peaks with roughly one-year intervals.(iv) Correlation analyses (ρ=0.9864) show that time of birth in different months has an impact on the chance of being infected by *** month seems to present a high risk factor on infants and young children.(v) The morbidity rate is 132.7/100000 during the HFMD epidemic in Beijing in *** morbidity map shows that the risks of HFMD infection in areas close to the city center and suburbans are much lower than those in the urban-rural transition *** risks inferred from the morbidity map demonstrate a clear circular pattern.(vi) The prevention and control measures taken by the public health departments seem to be effective during the summer season,resulting in the early ending of the epidemic (one month earlier than the natural season) and reduced outbreak size.

关键词：流行病学分析疫情北京 Weibull分布模型作者对数正态分布季节变化平均年龄

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Seafloor geodetic network establishment and key technologies

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Science China Earth Sciences 2020年第8期63卷 1188-1198页

作者： Yuanxi YANG Yanxiong LIU dajun SUN Tianhe XU Shuqiang XUE Yunfeng HAN Anmin zeng State Key L aboratory of Geo-Information Engineering Xi'an Research Institute of Surveying and MappingXi'an 710054China First Institute of Oceanography Ministry of Natural ResourceQingdao 266061China College of Underwater Acoustic Engineering Harbin Engineering UniversityHarbin 150001China Institute of Space Sciences Shandong UniversityWeihai 264209China Chinese Academy of Surveying and Mapping Beijing 100830China

Seafloor geodetic network construction involves the development of geodetic station shelter, network configuration design, location selection and layout, surveying strategy, observation model establishment and optimization, data processing strategy and so on. This paper tries to present main technological problems involved in the seafloor geodetic network construction, and seek the technically feasible solutions. Basic conceptions of developing seafloor geodetic station shelters for shallow sea and deep-sea are described respectively. The overall criteria of seafloor geodetic network construction for submarine navigation and those of network design for crustal motion monitoring are both proposed. In order to enhance application performances of the seafloor geodetic network, the seafloor network configuration should prefer a symmetrical network structure. The sea surface tracking line measurements for determining the seafloor geodetic station position should also adopt an approximately symmetrical configuration, and we recommend circle tracking line observations combined with cross-shaped line(or double cross-shape line) observations for the seafloor positioning mode. As to the offset correction between the Global Navigation Satellite System antenna phase center and the acoustic transducer, it is recommended to combine the calibration through external measurements and model parameter estimation. Besides, it is suggested to correct the sound speed error with a combination of observation value correction and parameterized model correction, and to mainly use the model correction to reduce the influence of acoustic ray error on the seafloor positioning. Following the proposed basic designs, experiments are performed in shallow sea area and deep-sea area respectively. Based on the developed seafloor geodetic shelter and sufficient verification in the shallow sea experiment, a long-term seafloor geodetic station in the deep-sea area of 3000 m depth was established for the

关键词： Seafloor geodesy Seafloor geodetic network Seafloor shelter Undersea navigation Acoustic positioning

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Spatio-temporal evolution of Beijing 2003 SARS epidemic

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Science China Earth Sciences 2010年第7期53卷 1017-1028页

作者： CAO ZhiDong zeng dajun ZHENG XiaoLong WANG QuanYi WANG FeiYue WANG JinFeng WANG XiaoLi Key Laboratory of Complex Systems and Intelligence Science Institute of AutomationChinese Academy of SciencesBeijing 100190China Beijing Center for Disease Control and Prevention Beijing 100013China State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China

Studying spatio-temporal evolution of epidemics can uncover important aspects of interaction among people, infectious diseases, and the environment, providing useful insights and modeling support to facilitate public health response and possibly prevention measures. This paper presents an empirical spatio-temporal analysis of epidemiological data concerning 2321 SARS-infected patients in Beijing in 2003. We mapped the SARS morbidity data with the spatial data resolution at the level of street and township. Two smoothing methods, Bayesian adjustment and spatial smoothing, were applied to identify the spatial risks and spatial transmission trends. Furthermore, we explored various spatial patterns and spatio-temporal evolution of Beijing 2003 SARS epidemic using spatial statistics such as Moran’s I and LISA. Part of this study is targeted at evaluating the effectiveness of public health control measures implemented during the SARS epidemic. The main findings are as follows. (1) The diffusion speed of SARS in the northwest-southeast direction is weaker than that in northeast-southwest direction. (2) SARS’s spread risk is positively spatially associated and the strength of this spatial association has experienced changes from weak to strong and then back to weak during the lifetime of the Beijing SARS epidemic. (3) Two spatial clusters of disease cases are identified: one in the city center and the other in the eastern suburban area. These two clusters followed different evolutionary paths but interacted with each other as well. (4) Although the government missed the opportunity to contain the early outbreak of SARS in March 2003, the response strategies implemented after the mid of April were effective. These response measures not only controlled the growth of the disease cases, but also mitigated the spatial diffusion.

关键词： severe acute respiratory syndrome (SARS) Beijing morbidity rate spatial analysis spatio-temporal evolution control measures

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