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High-resolution short-term prediction of the COVID-19 epidemic based on spatial-temporal model modified by historical meteorological data

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Fundamental Research 2024年第3期4卷 527-539页

作者： Bin Chen Ruming Chen Lin zhao Yuxiang Ren Li Zhang yingjie zhao Xinbo Lian Wei Yan Shuoyuan Gao College of Atmospheric Sciences Lanzhou UniversityLanzhou 730000China Collaborative Innovation Center of Western Ecological Security Lanzhou UniversityLanzhou 730000China

In the global challenge of Coronavirus disease 2019(COVID-19)pandemic,accurate prediction of daily new cases is crucial for epidemic prevention and socioeconomic planning.In contrast to traditional local,one-dimensional time-series data-based infection models,the study introduces an innovative approach by formulating the short-term prediction problem of new cases in a region as multidimensional,gridded time series for both input and prediction targets.A spatial-temporal depth prediction model for COVID-19(ConvLSTM)is presented,and further ConvLSTM by integrating historical meteorological factors(Meteor-ConvLSTM)is refined,considering the influence of meteorological factors on the propagation of COVID-19.The correlation between 10 meteorological factors and the dynamic progression of COVID-19 was evaluated,employing spatial analysis techniques(spatial autocorrelation analysis,trend surface analysis,etc.)to describe the spatial and temporal characteristics of the epidemic.Leveraging the original ConvLSTM,an artificial neural network layer is introduced to learn how meteorological factors impact the infection spread,providing a 5-day forecast at a 0.01°×0.01°pixel resolution.Simulation results using real dataset from the 3.15 outbreak in Shanghai demonstrate the efficacy of Meteor-ConvLSTM,with reduced RMSE of 0.110 and increased R^(2) of 0.125(original ConvLSTM:RMSE=0.702,R^(2)=0.567;Meteor-ConvLSTM:RMSE=0.592,R^(2)=0.692),showcasing its utility for investigating the epidemiological characteristics,transmission dynamics,and epidemic development.

关键词： COVID-19 Prediction ConvLSTM Refined prediction Meteorological factors Spatial-temporal analysis

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GRK2 inhibits Flt-1^(+)macrophage infiltration and its proangiogenic properties in rheumatoid arthritis

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Acta Pharmaceutica Sinica B 2024年第1期14卷 241-255页

作者： Xuezhi Yang yingjie zhao Qi Wei Xuemin Zhu Luping Wang Wankang Zhang Xiaoyi Liu Jiajie Kuai Fengling Wang Wei Wei Institute of Clinical Pharmacology Anhui Medical UniversityKey Laboratory of Anti-Inflammatory and Immune MedicineAnhui Collaborative Innovation Center of Anti-Inflammatory and Immune MedicineMinistry of EducationHefei 230032China Department of Clinical Pharmacology the Second Affiliated Hospital of Anhui Medical UniversityHefei 230601China

Rheumatoid arthritis(RA)is an autoimmune disease with a complex etiology.Monocyte-derived macrophages(MDMs)infiltration are associated with RA severity.We have reported the deletion of G-protein-coupled receptor kinase 2(GRK2)reprograms macrophages toward an anti-inflammatory phenotype by recovering G-protein-coupled receptor signaling.However,as more GRK2-interacting proteins were discovered,the GRK2 interactome mechanisms in RA have been understudied.Thus,in the collagen-induced arthritis mouse model,we performed genetic GRK2 deletion using GRK2^(f/f)Lyz2-Cre^(+/−)mice.Synovial inflammation and M1 polarization were improved in GRK2^(f/f)Lyz2-Cre^(+/−)mice.Supporting experiments with RNA-seq and dual-luciferase reporter assays identified peroxisome proliferator-activated receptorγ(PPARγ)as a new GRK2-interacting protein.We further confirmed that fms-related tyrosine kinase 1(Flt-1),which promoted macrophage migration to induce angiogenesis,was inhibited by GRK2-PPARγsignaling.Mechanistically,excess GRK2 membrane recruitment in CIA MDMs reduced the activation of PPARγligand-binding domain and enhanced Flt-1 transcription.Furthermore,the treatment of mice with GRK2 activity inhibitor resulted in significantly diminished CIA pathology,Flt-1^(+)macrophages induced-synovial inflammation,and angiogenesis.Altogether,we anticipate to facilitate the elucidation of previously unappreciated details of GRK2-specific intracellular signaling.Targeting GRK2 activity is a viable strategy to inhibit MDMs infiltration,affording a distinct way to control joint inflammation and angiogenesis of RA.

关键词： GRK2 Monocyte-derived macrophages Rheumatoid arthritis PPARg Flt-1

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Development of the second version of Global Prediction System for Epidemiological Pandemic

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Fundamental Research 2024年第3期4卷 516-526页

作者： Jianping Huang Li Zhang Bin Chen Xiaoyue Liu Wei Yan yingjie zhao Siyu Chen Xinbo Lian Chuwei Liu Rui Wang Shuoyuan Gao Danfeng Wang Collaborative Innovation Center for Western Ecological Safety Lanzhou UniversityLanzhou 730000China College of Atmospheric Sciences Lanzhou UniversityLanzhou 730000China

Coronavirus disease 2019(COvID-19)is a severe global public health emergency that has caused a major cri-sis in the safety of human life,health,global economy,and social order.Moreover,CovID-19 poses significant challenges to healthcare systems worldwide.The prediction and early warning of infectious diseases on a global scale are the premise and basis for countries to jointly fight epidemics.However,because of the complexity of epidemics,predicting infectious diseases on a global scale faces significant challenges.In this study,we developed the second version of Global Prediction System for Epidemiological Pandemic(GPEP-2),which combines statis-tical methods with a modified epidemiological model.The GPEP-2 introduces various parameterization schemes for both impacts of natural factors(seasonal variations in weather and environmental impacts)and human so-cial behaviors(government control and isolation,personnel gathered,indoor propagation,virus mutation,and vaccination).The GPEP-2 successfully predicted the COVID-19 pandemic in over 180 countries with an average accuracy rate of 82.7%.It also provided prediction and decision-making bases for several regional-scale CovID-19 pandemic outbreaks in China,with an average accuracy rate of 89.3%.Results showed that both anthropogenic and natural factors can affect virus spread and control measures in the early stages of an epidemic can effectively control the spread.The predicted results could serve as a reference for public health planning and policymaking.

关键词： COVID-19 Epidemiological model Prediction GPEP SEIR Statistical-dynamic

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An overview for monitoring and prediction of pathogenic microorganisms in the atmosphere

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Fundamental Research 2024年第3期4卷 430-441页

作者： Jianping Huang Danfeng Wang Yongguan Zhu Zifeng Yang Maosheng Yao Xiaoming Shi Taicheng An Qiang Zhang Cunrui Huang Xinhui Bi Jiang Li Zifa Wang Yongqin Liu Guibing Zhu Siyu Chen Jian Hang Xinghua Qiu Weiwei Deng Huaiyu Tian Tengfei Zhang Tianmu Chen Sijin Liu Xinbo Lian Bin Chen Beidou Zhang yingjie zhao Rui Wang Han Li Collaborative Innovation Center for Western Ecological Safety College of Atmospheric SciencesLanzhou UniversityLanzhou 730000China Research Center for Eco-Environmental Sciences Chinese Academy of SciencesBeijing 100085China National Clinical Research Center for Respiratory Disease Guangzhou Institute of Respiratory HealthFirst Affiliated Hospital of Guangzhou Medical UniversityState Key Laboratory of Respiratory Disease(Guangzhou Medical University)Guangzhou 510230China College of Environmental Sciences and Engineering Peking UniversityBeijing 100871China China CDC Key Laboratory of Environment and Population Health National Institute of Environmental HealthChinese Center for Disease Control and PreventionBeijing 100021China Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health School of Environmental Science and EngineeringInstitute of Environmental Health and Pollution ControlGuangdong University of TechnologyGuangzhou 510006China Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System ScienceTsinghua UniversityBeijing 100084China Vanke School of Public Health Tsinghua UniversityBeijing 100084China State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization Guangzhou Institute of GeochemistryChinese Academy of SciencesGuangzhou 510640China National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021China State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Center for Pan-third Pole Environment Lanzhou UniversityLanzhou 730000China College of Atmospheric Sciences Lanzhou UniversityLanzhou 730000China School of Atmospheric Sciences Sun Yat-sen Universityand Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)Zhuhai 510640

Corona virus disease 2019(COVID-19)has exerted a profound adverse impact on human health.Studies have demonstrated that aerosol transmission is one of the major transmission routes of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).Pathogenic microorganisms such as SARS-CoV-2 can survive in the air and cause widespread infection among people.Early monitoring of pathogenic microorganism transmission in the atmosphere and accurate epidemic prediction are the frontier guarantee for preventing large-scale epidemic outbreaks.Monitoring of pathogenic microorganisms in the air,especially in densely populated areas,may raise the possibility to detect viruses before people are widely infected and contain the epidemic at an earlier stage.The multi-scale coupled accurate epidemic prediction system can provide support for governments to analyze the epidemic situation,allocate health resources,and formulate epidemic response policies.This review first elaborates on the effects of the atmospheric environment on pathogenic microorganism transmission,which lays a theoretical foundation for the monitoring and prediction of epidemic development.Secondly,the monitoring technique development and the necessity of monitoring pathogenic microorganisms in the atmosphere are summarized and emphasized.Subsequently,this review introduces the major epidemic prediction methods and highlights the significance to realize a multi-scale coupled epidemic prediction system by strengthening the multidisciplinary cooperation of epidemiology,atmospheric sciences,environmental sciences,sociology,demography,etc.By summarizing the achievements and challenges in monitoring and prediction of pathogenic microorganism transmission in the atmosphere,this review proposes suggestions for epidemic response,namely,the establishment of an integrated monitoring and prediction platform for pathogenic microorganism transmission in the atmosphere.

关键词： Aerosol transmission Epidemic monitoring methods Epidemic prediction modelsEpidemic response Multidisciplinary cooperation

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On-board modeling of gravity fields of elongated asteroids using Hopfield neural networks

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Astrodynamics 2023年第1期7卷 101-114页

作者： yingjie zhao Hongwei Yang Shuang Li Yirong Zhou College of Astronautics Nanjing University of Aeronautics and AstronauticsNanjing 211106China College of Automation Engineering Nanjing University of Aeronautics and AstronauticsNanjing 211106China

To rapidly model the gravity field near elongated asteroids,an intelligent inversion method using Hopfield neural networks(HNNs)is proposed to estimate on-orbit simplified model parameters.First,based on a rotating mass dipole model,the gravitational field of asteroids is characterized using a few parameters.To solve all the parameters of this simplified model,a stepped parameter estimation model is constructed based on different gravity field models.Second,to overcome linearization difficulties caused by the coupling of the parameters to be estimated and the system state,a dynamic parameter linearization technique is proposed such that all terms except the parameter terms are known or available.Moreover,the Lyapunov function of the HNNs is matched to the problem of minimizing parameter estimation errors.Equilibrium values of the Lyapunov function areused as estimated values.The proposed method is applied to natural elongated asteroids 216 Kleopatra,951 Gaspra,and 433 Eros.Simulation results indicate that this method can estimate the simplified model parameters rapidly,and that the estimated simplified model provides a good approximation of the gravity field of elongated asteroids.

关键词： elongated asteroids simplified model Hopfield neural networks(HNNs) on-board learning gravity inversion

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Multifunctional Perovskite Photodetectors: From Molecular-Scale Crystal Structure Design to Micro/Nano-scale Morphology Manipulation

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Nano-Micro Letters 2023年第10期15卷 565-594页

作者： yingjie zhao Xing Yin Pengwei Li Ziqiu Ren Zhenkun Gu Yiqiang Zhang Yanlin Song College of Chemistry Zhengzhou UniversityZhengzhou 450001People’s Republic of China Henan Institute of Advanced Technology Zhengzhou UniversityZhengzhou 450001People’s Republic of China Key Laboratory of Green Printing Institute of ChemistryChinese Academy of Sciences(ICCAS)Beijing 100190People’s Republic of China

Multifunctional photodetectors boost the development of traditional optical communication technology and emerging artificial intelligence fields, such as robotics and autonomous driving. However, the current implementation of multifunctional detectors is based on the physical combination of optical lenses, gratings, and multiple photodetectors, the large size and its complex structure hinder the miniaturization, lightweight, and integration of devices. In contrast, perovskite materials have achieved remarkable progress in the field of multifunctional photodetectors due to their diverse crystal structures, simple morphology manipulation, and excellent optoelectronic properties. In this review, we first overview the crystal structures and morphology manipulation techniques of perovskite materials and then summarize the working mechanism and performance parameters of multifunctional photodetectors. Furthermore, the fabrication strategies of multifunctional perovskite photodetectors and their advancements are highlighted, including polarized light detection, spectral detection, angle-sensing detection, and selfpowered detection. Finally, the existing problems of multifunctional detectors and the perspectives of their future development are presented.

关键词： Perovskite materials Crystal structure design Micro/nano-structure manipulation Working mechanism Multifunctional photodetectors

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Possible link between new coronavirus variants and atmospheric lightning and seawater intrusion

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Atmospheric and Oceanic Science Letters 2022年第1期15卷 81-83页

作者： Jianping Huang yingjie zhao Danfeng Wang Collaborative Innovation Centre for West Ecological Safety(CIWES) Lanzhou UniversityLanzhouChina

自新型冠状病毒肺炎暴发一年多以来,已经对全球产生深远影响.新型冠状病毒肺炎变异毒株的出现使当前疫情发展充满了不确定性.从这方面出发,我们讨论病毒变异与大气因素之间的联系.根据固氮过程和硝酸盐在人体中的转化过程,我们提出了新... 详细信息

自新型冠状病毒肺炎暴发一年多以来,已经对全球产生深远影响.新型冠状病毒肺炎变异毒株的出现使当前疫情发展充满了不确定性.从这方面出发,我们讨论病毒变异与大气因素之间的联系.根据固氮过程和硝酸盐在人体中的转化过程,我们提出了新型冠状病毒肺炎变异毒株的出现或许和闪电以及海水入侵有联系.我们的研究对新型冠状病毒肺炎变异毒株可能的产生原因提供新的观点.

关键词：新型冠状病毒肺炎变异毒株闪电海水亚硝酸盐硝酸盐一氧化氮

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Fully Conjugated Covalent Organic Frameworks:Synthesis,Structures and Applications

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Chinese Journal of Chemistry 2023年第23期41卷 3447-3472页

作者： Yueshuai Xu Guanshi Ren Dianqi Zhang Lishui Sun yingjie zhao College of Polymer Science and Engineering Qingdao University of Science and TechnologyQingdaoShandong266000 China

This review presents a comprehensive examination of fully conjugated covalent organic frameworks(COFs),which constitute an emerging class of porous materials with immense potential for diverse applications.This article focuses on diversified fully conjugated COFs,including sp2 carbon-carbon linkages,pyrazine linkages,benzobisoxazole linkages,dioxin linkages,β-aminoalkenone linkages,etc.The synthesis techniques and structural attributes of these COFs are expounded upon in great detail,along with their potential applications in various fields.The review thus provides a valuable resource for researchers keen on delving into the synthesis and applications of fully conjugated COFs,thereby highlighting their potential for developing novel functional materials with distinctive properties.

关键词： Covalent organic frameworks Fully-conjugated system Crystallinity Stability Conjugation Porous polymers Conjugated polymers

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One-Pot Synthesis of Fully-Conjugated Chemically Stable Two-Dimensional Covalent Organic Framework

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Chinese Journal of Chemistry 2022年第6期40卷 699-704页

作者： Hui Liu Yuxi Han Xuhan Zheng Jinyu zhao Yixiao Man Lishui Sun yingjie zhao Engineering Research Center of High Performance Polymer and Molding Technology Ministry of EducationCollege of Polymer Science and EngineeringQingdao University of Science and TechnologyQingdaoShandong 266000China School of Materials Science and Engineering Shandong University of Science and TechnologyQingdaoShandong 266590China

Covalent organic frameworks(COFs)with good chemical stability coupled with extended-conjugation structures are highly prefera-ble.Herein,a fully-conjugated and chemically stable two-dimensional COF was synthesized by a one-pot,three-components synthe-sis through a successful conversion of amine,aldehyde,and alkyne groups into the quinoline units as linkages with B(C6F5)3 serving as a Lewis acid catalyst,whilst 2,3-dichloro-5,6-dicyano-1,4-benzoquinone(DDQ)was employed as an oxidant.The obtained fully conjugated 2D COF shows excellent stability in acid or base.

关键词： Covalent organic frameworks Fully-conjugated system Two-dimensional materials One-pot synthesis Chemical stability

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Is the Omicron variant of SARS-CoV-2 coming to an end?

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The Innovation 2022年第3期3卷 13-14页

作者： yingjie zhao Jianping Huang Li Zhang Xinbo Lian Danfeng Wang Collaborative Innovation Centre for West Ecological Safety(CIWES) Lanzhou UniversityLanzhou 730000China College of Atmospheric Sciences Lanzhou UniversityLanzhou 730000China

The coronavirus disease 2019(COVID-19)pandemic has caused infection in more than 400 million people,and 5.8 million deaths.The most recent outbreak was caused by the Omicron variant,which was first identified in South Africa on November 11,2021.It has spread to more than 150 countries thus far.The fast spread of theOmicron variant has caused great concernworldwide.Compared to the previous outbreaks of COVID-19 variants,the Omicron outbreak is much larger.As shown in Figure 1A,a sharp surge appeared in approximately January 2022.

关键词： Figure infection Omi

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