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The mediatory role of water quality on the association between extreme precipitation events and infectious diarrhea in the Yangtze River Basin,China

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Fundamental Research 2024年第3期4卷 495-504页

作者： Junfeng Yu liang Zhao xin-zhong liang Hung Chak Ho Masahiro Hashizume Cunrui Huang School of Public Health Sun Yat-sen UniversityGuangzhou 510080China The State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics(LASG) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Department of Atmospheric and Oceanic Science University of MarylandCollege ParkMD 20740USA Department of Public and International Affairs City University of Hong KongHong Kong 999077China Department of Global Health Policy Graduate School of MedicineThe University of TokyoTokyo 113-0033Japan Vanke School of Public Health Tsinghua UniversityBeijing 100084China Institute of Healthy China Tsinghua UniversityBeijing 100084China

Extreme precipitation is exacerbating the burden of infectious diarrhea in the context of climate change,it is necessary to identify the critical and easy-to-intervene intermediate factors for public health strategies.Water quality may be the most important mediator,while relevant empirical evidence is limited.This study aimed to examine the role of water quality in the process of infectious diarrhea caused by extreme precipitation.Weekly infectious diarrhea cases,meteorological factors and water quality data in Yangtze River Basin in China between October 29,2007 to February 19,2017 were obtained.Two-stage statistical models were used to estimate city-specific extreme precipitation,water quality and infectious diarrhea relationships that were pooled to derive regional estimates.A causal mediation analysis was used to assess the mediation effect of water quality.In Yangtze River Basin,extreme precipitation events had a significant impact on infectious diarrhea(Incidence Rate Ratios[IRR]:1.027,95%Confidence Interval[CI]:1.013~1.041).After extreme precipitation events,the dissolved oxygen(DO)in surface water decreased(-0.123 mg/L,95%CI:-0.159 mg/L~-0.086 mg/L),while the un-ionized ammonia(NH(3)-N)increased(0.004 mg/L,95%CI:0.001 mg/L~0.006 mg/L).The combined overall effect of DO and NH(3)-N on infectious diarrhea showed that both low and high concentrations were associated with an increased risk of infectious diarrhea.The causal mediation analysis showed that the mediation proportion of the two water quality indexes(DO and NH(3)-N)is 70.54%(P<0.001).To reduce the health effects of extreme precipitation,in contrast to current population-oriented health strategies,those that take into account more direct and easy-to-intervene water quality indicators should be encouraged by future policies.

关键词： Extreme precipitation Infectious diarrhea Water quality Dissolved oxygen Un-ionized ammonia Mediation analysis

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Regional climate model downscaling may improve the prediction of alien plant species distributions

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Frontiers of Earth Science 2014年第4期8卷 457-471页

作者： Shuyan LIU xin-zhong liang Wei GAO Thomas J. STOHLGREN Earth System Science Interdisciplinary Center University of Maryland College Park MD 20740 USA Department of Atmospheric and Oceanic Sciences University of Maryland College Park MD 20740 USA Department of Ecosystem Science and Sustainability Colorado State University Fort Collins CO 80523 USA Fort Collins Science Center U.S. Geological Survey Fort Collins CO 80526 USA

侵略种类的分布通常与种类分发模型一起被预言在在观察种类存在数据和气候数据之间的统计关系之上造。我们使用了域观察，气候车站数据，和分发在美国为 13 侵略植物种类建模的最大的熵种类，然后从一个一般发行量模型(此后基于GCM 的... 详细信息

侵略种类的分布通常与种类分发模型一起被预言在在观察种类存在数据和气候数据之间的统计关系之上造。我们使用了域观察，气候车站数据，和分发在美国为 13 侵略植物种类建模的最大的熵种类，然后从一个一般发行量模型(此后基于GCM 的模型)和 downscaled 把模型与输入作比较地区性的气候模型(此后，基于RCM 的模型) .We 也目前基于基于GCM 或基于RCM 的模型比较了种类分布( 19901999 )到未来( 20462055 )。

关键词：区域气候模式物种分布外来植物预测降尺度分布模型入侵物种大气环流模型

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Cloud-Aerosol-Radiation (CAR) Ensemble Modeling System: Overall Accuracy and Efficiency

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Advances in Atmospheric Sciences 2013年第4期30卷 955-973页

作者： Feng ZHANG xin-zhong liang 曾庆存 Yu GU Shenjian SU Earth System Science Interdisciplinary Center University of Maryland College ParkMD 20740 USA International Center for Climate and Environment Sciences Institute of Atmospheric Physics Chinese Academy of SciencesBeijing 100029 Department of Atmospheric and Oceanic Science University of Maryland College ParkMD 20740 USA Department of Atmospheric and Oceanic Sciences Joint Institute for Regional Earth System Science and Engineering University of CaliforniaLos Angeles CA 90095-1565 USA

The Cloud Aerosol- Radiation （CAR） ensemble modeling system has recently been built to better un- derstand cloud/aerosol/radiation processes and determine the uncertainties caused by different treatments of cloud/aerosol/radiation in climate models. The CAR system comprises a large scheme collection of cloud, aerosol, and radiation processes available in the literature, including those commonly used by the world＇s leading GCMs. In this study, detailed analyses of the overall accuracy and efficiency of the CAR system were performed. Despite the different observations used, the overall accuracies of the CAR ensemble means were found to be very good for both shortwave （SW） and longwave （LW） radiation calculations. Taking tile percentage errors for July 2004 compared to ISCCP （International Satellite Cloud Climatology Project） data over （60~N, 60~S） as an example, even among the 448 CAR members selected here, those errors of the CAR ensemble means were only about -0.67% （-0.6 W m-2） and -0.82% （-2.0 W m-2） for SW and LW upward fluxes at the top of atmosphere, and 0.06% （0.1 W m-2） and -2.12% （-7.8 W m 2） for SW and LW downward fluxes at the surface, respectively. Furthermore, model SW frequency distributions in July 2004 covered the observational ranges entirely, with ensemble means located in the middle of the ranges. Moreover, it was found that the accuracy of radiative transfer calculations can be significantly enhanced by＂ using certain combinations of cloud schemes for the cloud cover fraction, particle effective size, water path, and optical properties, along with better explicit treatments for unresolved cloud structures.

关键词： cloud radiative forcing radiation CAR ensemble

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High-resolution Simulation of an Extreme Heavy Rainfall Event in Shanghai Using the Weather Research and Forecasting Model: Sensitivity to Planetary Boundary Layer Parameterization

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Advances in Atmospheric Sciences 2021年第1期38卷 98-115页

作者： Rui WANG Yiting ZHU Fengxue QIAO xin-zhong liang Han ZHANG Yang DING Key Laboratory of Geographic Information Science Ministry of EducationEast China Normal UniversityShanghai 200241China School of Geographic Sciences East China Normal UniversityShanghai 200241China Institute of Eco-Chongming Shanghai 200062China College of Atmospheric Science Nanjing University of Information Science and TechnologyNanjing 210044China Department of Atmospheric&Oceanic Science University of MarylandCollege ParkMaryland 20742USA Earth System Science Interdisciplinary Center University of MarylandCollege ParkMaryland 20742USA Shanghai Central Meteorological Observatory Shanghai 200030China

In this study,an extreme rainfall event that occurred on 25 May 2018 over Shanghai and its nearby area was simulated using the Weather Research and Forecasting model,with a focus on the effects of planetary boundary layer(PBL)physics using double nesting with large grid ratios(15:1 and 9:1).The sensitivity of the precipitation forecast was examined through three PBL schemes:the Yonsei University Scheme,the Mellor−Yamada−Nakanishi Niino Level 2.5(MYNN)scheme,and the Mellor−Yamada−Janjic scheme.The PBL effects on boundary layer structures,convective thermodynamic and large-scale forcings were investigated to explain the model differences in extreme rainfall distributions and hourly variations.The results indicated that in single coarser grids(15 km and 9 km),the extreme rainfall amount was largely underestimated with all three PBL schemes.In the inner 1-km grid,the underestimated intensity was improved;however,using the MYNN scheme for the 1-km grid domain with explicitly resolved convection and nested within the 9-km grid using the Kain−Fritsch cumulus scheme,significant advantages over the other PBL schemes are revealed in predicting the extreme rainfall distribution and the time of primary peak rainfall.MYNN,with the weakest vertical mixing,produced the shallowest and most humid inversion layer with the lowest lifting condensation level,but stronger wind fields and upward motions from the top of the boundary layer to upper levels.These factors all facilitate the development of deep convection and moisture transport for intense precipitation,and result in its most realistic prediction of the primary rainfall peak.

关键词： PBL parameterization extreme rainfall high resolution

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基于CWRF的中国近海热带气旋集合模拟及其对物理参数化方案的敏感性研究

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Atmospheric and Oceanic Science Letters 2021年第1期14卷 22-26页

作者： Wenru Shi Haishan Chen xin-zhong liang Key Laboratory of Meteorological Disaster Ministry of Education(KLME)/Joint International Research Laboratory of Climate and Environment Change(ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD)Nanjing University of Information Science and TechnologyNanjingChina Earth System Science Interdisciplinary Center University of Maryland5825 University Research CourtSuite 4001College ParkMDUSA

为评估CWRF模式的降尺度能力和其热带气旋模拟对物理参数化方案的敏感性,本文利用ERI再分析资料驱动CWRF在30km网格上对1982-2016年中国近海热带气旋开展了一次集合模拟.结果表明:CWRF与ERI均能模拟出热带气旋的季节变化和年际变化形势... 详细信息

为评估CWRF模式的降尺度能力和其热带气旋模拟对物理参数化方案的敏感性,本文利用ERI再分析资料驱动CWRF在30km网格上对1982-2016年中国近海热带气旋开展了一次集合模拟.结果表明:CWRF与ERI均能模拟出热带气旋的季节变化和年际变化形势且均存在低估,但相较ERI,CWRF的降尺度技术和集合模拟可以再现更多的热带气旋,显著减少低估.年际变化结果提升最为明显,它对积云方案最为敏感,其次是边界层,陆面和辐射方案,对云和微物理方案较弱.该研究为应用CWRF理解和预报热带气旋提供了参考.

关键词：热带气旋集合模拟物理参数化方案区域降尺度

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Effects of NLRP3 Inflammasome Mediated Pyroptosis on Cardiovascular Diseases and Intervention Mechanism of Chinese Medicine

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Chinese Journal of Integrative Medicine 2024年第5期30卷 468-479页

作者： zhong Yi LI xin-yue liang Tian-jun DING Bao-zhu MA Ke-xin REN Wen-xuan liang Wen-jie College of Integrated Traditional Chinese and Western Medicine Hebei University of Chinese MedicineHebei Key Laboratory of Integrated Traditional Chinese and Western Medicine in Liver and Kidney DiseasesInstitute of Integrated Traditional Chinese and Western MedicineShijiazhuang 050200China Department of Cardiovascular Internal Medicine the Second Affiliated Hospital of Jiujiang UniversityJiujiangJiangxi Province 332000China Graduate School Hebei Medical UniversityShijiazhuang 050017China Rural Physician College Hebei Medical UniversityShijazhuang 050017China Medical Department the First Hospital of Hebei Medical UniversityShijiazhuang 050030China

Activation of the NOD-like receptor protein 3(NLRP3)inflammasome signaling pathway is an important mechanism underlying myocardial pyroptosis and plays an important role in inflammatory damage to myocardial tissue in patients with cardiovascular diseases(CVDs),such as diabetic cardiomyopathy,ischemia/reperfusion injury,myocardial infarction,heart failure and hypertension.Noncoding RNAs(nc RNAs)are important regulatory factors.Many Chinese medicine(CM)compounds,including their effective components,can regulate pyroptosis and exert myocardium-protecting effects.The mechanisms underlying this protection include inhibition of inflammasome protein expression,Toll-like receptor 4–NF-κB signal pathway activation,oxidative stress,endoplasmic reticulum stress(ERS),and mixed lineage kinase 3 expression and the regulation of silent information regulator 1.The NLRP3 protein is an important regulatory target for CVD prevention and treatment with CM.Exploring the effects of the interventions mediated by CM and the related mechanisms provides new ideas and perspectives for CVD prevention and treatment.

关键词： pyroptosis cardiovascular diseases Chinese medicine NOD-like receptor protein 3 mechanisms

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Formation and transformation of metastable LPSO building blocks clusters in Mg-Gd-Y-Zn-Zr alloys by spinodal decomposition and heterogeneous nucleation

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Journal of Magnesium and Alloys 2024年第2期12卷 673-686页

作者： xin Zhao zhong Yang Jiachen Zhang Minxian liang Liying Wang School of Materials Science and Chemical Engineering Xi’an Technological UniversityXi’an 710021China Xi’an Tianli Metal Composite Material Co.Ltd. Xi’an 710299China

To study the formation and transformation mechanism of long-period stacked ordered(LPSO)structures,a systematic atomic scale analysis was conducted for the structural evolution of long-period stacked ordered(LPSO)structures in the Mg-Gd-Y-Zn-Zr alloy annealed at 300℃~500℃.Various types of metastable LPSO building block clusters were found to exist in alloy structures at different temperatures,which precipitate during the solidification and homogenization process.The stability of Zn/Y clusters is explained by the first principles of density functional theory.The LPSO structure is distinguished by the arrangement of its different Zn/Y enriched LPSO structural units,which comprises local fcc stacking sequences upon a tightly packed plane.The presence of solute atoms causes local lattice distortion,thereby enabling the rearrangement of Mg atoms in the different configurations in the local lattice,and local HCP-FCC transitions occur between Mg and Zn atoms occupying the nearest neighbor positions.This finding indicates that LPSO structures can generate necessary Schockley partial dislocations on specific slip surfaces,providing direct evidence of the transition from 18R to 14H.Growth of the LPSO,devoid of any defects and non-coherent interfaces,was observed separately from other precipitated phases.As a result,the precipitation sequence of LPSO in the solidification stage was as follows:Zn/Ycluster+Mg layers→various metastable LPSO building block clusters→18R/24R LPSO;whereas the precipitation sequence of LPSO during homogenization treatment was observed to be as follows:18R LPSO→various metastable LPSO building block clusters→14H LPSO.Of these,14H LPSO was found to be the most thermodynamically stable structure.

关键词： LPSO Spinodal decomposition Homogenization treatment Clusters Phase transformation

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High-precision X-ray polarimeter based on channel-cut crystals

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Nuclear Science and Techniques 2024年第3期35卷 30-39页

作者： Shang-Yu Si zhong-liang Li Wen-Hong Jia Lian Xue Hong-xin Luo Jian-Cai Xu Bai-Fei Shen Lin-Gang Zhang liang-liang Ji Yu-xin Leng Ren-zhong Tai Shanghai Institute of Applied Physics Chinese Academy of SciencesShanghai 201800China University of Chinese Academy of Sciences Beijing 100049China Shanghai Synchrotron Radiation Facility Shanghai Advanced Research InstituteChinese Academy of SciencesShanghai 201204China Shanghai Institute of Optics and Fine Mechanics Chinese Academy of SciencesShanghai 201800China

We report on using synthetic silicon for a high-precision X-ray polarimeter comprising a polarizer and an analyzer,each based on a monolithic channel-cut crystal used at multiple Brewster reflections with a Bragg angle very close to 45°.Experiments were performed at the BL09B bending magnet beamline of the Shanghai Synchrotron Radiation Facility using a Si(800)crystal at an X-ray energy of 12.914 keV.A polarization purity of 8.4×10^(-9)was measured.This result is encouraging,as the measured polarization purity is the best-reported value for the bending magnet source.Notably,this is the firstly systematic study on the hard X-ray polarimeter in China,which is crucial for exploring new physics,such as verifying vacuum birefringence.

关键词： X-ray polarimeter Vacuum birefringence Synchrotron radiation Channel-cut crystal

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Data-driven Wasserstein distributionally robust chance-constrained optimization for crude oil scheduling under uncertainty

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Chinese Journal of Chemical Engineering 2024年第5期69卷 152-166页

作者： xin Dai liang Zhao Renchu He Wenli Du Weimin zhong Zhi Li Feng Qian Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of EducationEast China University of Science and TechnologyShanghai 200237China Engineering Research Center of Process System Engineering Ministry of EducationEast China University of Science and TechnologyShanghai 200237China

Crude oil scheduling optimization is an effective method to enhance the economic benefits of oil refining.But uncertainties,including uncertain demands of crude distillation units(CDUs),might make the production plans made by the traditional deterministic optimization models infeasible.A data-driven Wasserstein distributionally robust chance-constrained(WDRCC)optimization approach is proposed in this paper to deal with demand uncertainty in crude oil scheduling.First,a new deterministic crude oil scheduling optimization model is developed as the basis of this approach.The Wasserstein distance is then used to build ambiguity sets from historical data to describe the possible realizations of probability distributions of uncertain demands.A cross-validation method is advanced to choose suitable radii for these ambiguity sets.The deterministic model is reformulated as a WDRCC optimization model for crude oil scheduling to guarantee the demand constraints hold with a desired high probability even in the worst situation in ambiguity sets.The proposed WDRCC model is transferred into an equivalent conditional value-at-risk representation and further derived as a mixed-integer nonlinear programming counterpart.Industrial case studies from a real-world refinery are conducted to show the effectiveness of the proposed method.Out-of-sample tests demonstrate that the solution of the WDRCC model is more robust than those of the deterministic model and the chance-constrained model.

关键词： Distributions Model Optimization Crude oil scheduling Wasserstein distance Distributionally robust chance constraints

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Reliability Assessment of a New General Matching Composed Network

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China Communications 2024年第2期21卷 245-257页

作者： Zhengyuan liang Junbin liang Guoxuan zhong Guangxi Key Laboratory of Multimedia Communications and Network Technology School of ComputerElectronics and InformationGuangxi UniversityNanning 530004China Jiangxi Engineering Laboratory of IoT Technologies for Crop Growth Ji’an 343000China

The reliability of a network is an important indicator for maintaining communication and ensuring its stable operation. Therefore, the assessment of reliability in underlying interconnection networks has become an increasingly important research issue. However, at present, the reliability assessment of many interconnected networks is not yet accurate,which inevitably weakens their fault tolerance and diagnostic capabilities. To improve network reliability,researchers have proposed various methods and strategies for precise assessment. This paper introduces a novel family of interconnection networks called general matching composed networks(gMCNs), which is based on the common characteristics of network topology structure. After analyzing the topological properties of gMCNs, we establish a relationship between super connectivity and conditional diagnosability of gMCNs. Furthermore, we assess the reliability of g MCNs, and determine the conditional diagnosability of many interconnection networks.

关键词： conditional diagnosability interconnection networks network reliability super connectivity

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