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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 cyberattacks.Currently,available methods for evaluating the impacts of cyberattacks suffer from limited resilience,efficacy,and practical value.To 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 computing.The 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 cyberattacks.The 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 cyberattacks.The 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 operations.Our method can determine optimal schemes in both stages,accounting for the social dimensions of the problem.An 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 threats.This approach can mitigate the impacts more effectively than several existing methods,even

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

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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.Such platforms have changed the rules of global business operations and influenced the global political landscape.Following 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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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 cells.Transforming the tumor microenvironment(TME)from“cold”to“hot”and thus more likely to potentiate the effects of ICIs is a promising strategy for cancer treatment.We 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 models.Using 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 response.Mechanistically,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 production.As a result,APG-2575-induced macrophage repolarization could remodel the tumor immune microenvironment,thus improving tumor immunosuppression and further enhancing antitumor T-cell immunity.Multiplex immunohistochemistry confirmed that patients with better immunotherapeutic efficacy had higher CD86,p-NF-κB p65 and NLRP3 levels,accompanied by lower CD206 expression on macrophages.Collectively,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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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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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 field.Material 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 prediction.We compared ATGCN with autoregressive models,deep sequence learning models,and experience-based ATGCN models in short-term and long-term prediction tasks.Results: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 tasks.And 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 one.Discussion:Our research indicates a broad application prospect of deep learning in the field of infectious disease prediction.Transmission characteristics and domain knowledge of infectious diseases should be further applied to the design of deep learning models and feature selection.Conclusion: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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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 science.Tremendous unstructured COVID-19 publications make it challenging for policymakers to obtain relevant evidence.Knowledge graphs(KGs)can formalize unstructured knowledge into structured form and have been used in supporting decision-making recently.Here,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 study.We screen out a corpus of 3096 COVID-19 modelling study papers by performing a literature assessment process.We 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 dataset.Leveraging the model on the new corpus,we construct CPHE-KG containing 60,967 entities and 51,140 rela-tions.Finally,we seek to apply our KG to support evidence querying and evidence mapping visualization.Our SS-DYGIE++(SpanBERT)model has achieved a F1 score of 0.77 and 0.55 respectively in document-level entity recognition and coreference resolution tasks.It has also shown high performance in the relation identification task.With evidence querying,our KG can present the dynamic transmissions of COVID-19 pandemic in different countries and regions.The evidence mapping of our KG can show the impacts of variable non-pharmacological interventions to COVID-19 pandemic.Analysis 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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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 processing.Blends were characterized,mechanical test and antibacterial evaluation against Escherichia coli and Staphylococcus aureus,were conducted.Results 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 aureus.When 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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The Chinese Carbon-Neutral Goal:Challenges and Prospects

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Advances in Atmospheric Sciences 2022年第8期39卷 1229-1238,I0027-I0030页

作者： Ning zeng Kejun JIANG Pengfei HAN Zeke HAUSFATHER Junji CAO daniel KIRK-DAVIDOFF Shaukat ALI Sheng ZHOU Department of Atmospheric and Oceanic Science and Earth System Science Interdisciplinary CenterUniversity of MarylandCollege Park 20742MarylandUSA State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Energy Research Institute National Development and Reform CommissionBeijing 100045China Carbon Neutrality Research Center Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Breakthrough Institute Oakland 94612CaliforniaUSA Institute of Atmospheric Physics Chinese Academy of SciencesBeijing 100029China Global Change Impact Study Centre Ministry of Climate ChangeIslamabad 45250Pakistan Institute of Energy Environment and EconomyTsinghua UniversityBeijing 100084China

On 22 September 2020,within the backdrop of the COVID-19 global pandemic,China announced its climate goal for peak carbon emissions before 2030 and to reach carbon neutrality before 2060.This carbon-neutral goal is generally considered to cover all anthropogenic greenhouse gases.The planning effort is now in full swing in China,but the pathway to decarbonization is unclear.The needed transition towards non-fossil fuel energy and its impact on China and the world may be more profound than its reform and development over the past 40 years,but the challenges are enormous.Analysis of four representative scenarios shows significant differences in achieving the carbon-neutral goal,particularly the contribution of non-fossil fuel energy sources.The high target values for nuclear,wind,and bioenergy have approached their corresponding resource limitations,with solar energy being the exception,suggesting solar’s critical role.We also found that the near-term policies that allow for a gradual transition,followed by more drastic changes after 2030,can eventually reach the carbon-neutral goal and lead to less of a reduction in cumulative emissions,thus inconsistent with the IPCC 1.5°C scenario.The challenges and prospects are discussed in the historical context of China’s socio-economic reform,globalization,international collaboration,and development.

关键词： carbon neutral carbon dioxide reductions energy system transformation distributed energy system model projections

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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 first time, and the preliminary positioning resu

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

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Real-time programmable metasurface for terahertz multifunctional wave front engineering

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Light(Science & Applications) 2023年第9期12卷 1795-1806页

作者： Feng Lan Luyang Wang Hongxin zeng Shixiong Liang Tianyang Song Wenxin Liu Pinaki Mazumder Ziqiang Yang Yaxin Zhang daniel M.Mittleman Sichuan THz Communication Technology Engineering Research Center School of Electronic Science and EngineeringUniversity of Electronic Science and Technology of ChinaChengdu 611731China Yangtze Delta Region Institute(Huzhou) University of Electronic Science and Technology of ChinaHuzhou 313000China Zhangjiang Laboratory Shanghai 201204China National Key Laboratory of Solid-State Microwave Devices and Circuits Hebei Semiconductor Research InstituteShijiazhuang 050051China Aerospace Information Research Institute Chinese Academy of SciencesBeijing 100094China University of Chinese Academy of Sciences School of ElectronicElectrical and Communication EngineeringBeijing 101408China Department of Electrical Engineering and Computer Science University of MichiganAnn ArborMI 48109USA School of Engineering Brown UniversityProvidenceRI 02912USA

Terahertz(THz)technologies have become a focus of research in recent years due to their prominent role in envisioned future communication and sensing systems.One of the key challenges facing the field is the need for tools to enable agile engineering of THz wave fronts.Here,we describe a reconfigurable metasurface based on GaN technology with an array-of-subarrays architecture.This subwavelength-spaced array,under the control of a 1-bit digital coding sequence,can switch between an enormous range of possible configurations,providing facile access to nearly arbitrary wave front control for signals near 0.34 THz.We demonstrate wide-angle beam scanning with 1°of angular precision over 70 GHz of bandwidth,as well as the generation of multi-beam and diffuse wave fronts,with a switching speed up to 100 MHz.This device,offering the ability to rapidly reconfigure a propagating wave front for beam-forming or diffusively scattered wide-angle coverage of a scene,will open new realms of possibilities in sensing,imaging,and networking.

关键词： wave scattered arbitrary

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