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Impacts of Increasing Temperature on the Future Incidence of West Nile Neuroinvasive Disease in the United States

American Journal of Climate Change 2017年第1期6卷 166-216页

作者： Anna Belova David Mills Ronald Hall Alexis St. Juliana Allison Crimmins Chris Barker Russell Jones co.nistx Pittsburgh PA USA Abt Associates Boulder CO USA Climate Change Division U.S. Environmental Protection Agency Washington DC USA School of Veterinary Medicine University of California Davis CA USA

Multiple studies have identified links between climate and West Nile virus disease since the virus arrived in North America. Here we sought to extend these results by developing a Health Impact Function (HIF) to generate co.nty-level estimates of the expected annual number of West Nile neuroinvasive disease (WNND) cases based on the co.nty’s historical WNND incidence, annual average temperature, and population size. To better understand the potential impact of projected temperature change on WNND risk, we used the HIF to project the change in expected annual number of WNND cases attributable to changing temperatures by 2050 and by 2090 using data from five global climate models under two representative co.centration pathways (RCP4.5 and RCP8.5). To estimate the co.ts of anticipated changes, as well as to enable co.parisons with other public health impacts, projected WNND cases were allocated to nonfatal and fatal outco.es, then monetized using a co.t-of-illness estimate and the U.S. Environmental Protection Agency’s value of a statistical life, respectively. We found that projected future temperature and population changes co.ld increase the expected annual number of WNND cases to ≈2000 - 2200 cases by 2050 and to ≈2700 - 4300 cases by 2090, from a baseline of 970 cases. holding population co.stant at future levels while varying temperature from a 1995 baseline, we estimated projected temperature change alone is responsible for ≈590 and ≈960 incremental WNND cases in 2050 and 2090 (respectively) under the RCP4.5 scenario, and ≈820 and ≈2500 cases in 2050 and 2090 (respectively) for the RCP8.5 scenario, with substantial regional variation. The monetized impact of these temperature-attributable incremental cases is estimated at $0.5 billion in 2050 and $1.0 billion in 2090 under the RCP4.5 scenario, and $0.7 billion in 2050 and $2.6 billion in 2090 under the RCP8.5 scenario (undisco.nted 2015 U.S. dollars).

关键词： Human Health Climate Change Temperature West Nile Virus West Nile Neuroinvasive Disease Eco.omic Impacts

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The standardized design and application guidelines: A primary-oriented artificial intelligence screening system of the lesion sign in the macular region based on fundus co.or photography

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Intelligent Medicine 2023年第3期3卷 213-227页

作者： Ocular Fundus Diseases Group of Chinese Ophthalmological Society Expert Group for Artificial Intelligence Research,Development,and Application Xiaoxin Li Ming Zhang Yanwu Xu 不详 Fujian Provincial Key Laboratory of Ocular Surface and co.neal Diseases Eye Institute and Affiliated Xiamen Eye Center of Xiamen UniversitySchool of MedicineXiamen UniversityXiamenFujian 361001China Department of Ophthalmology West China HospitalSichuan UniversityChengduSichuan 610044China Beijing Baidu Netco. Science Technology co.Ltd.Beijing 100085 China

With the popularity and development of artificial intelligence(AI),disease screening systems based on AI algorithms are gradually emerging in the medical *** systems can be used for primary screening of diseases to relieve the pressure on primary health *** recent years,AI algorithms have demonstrated good performance in the analysis and identification of lesion signs in the macular region of fundus co.or photography,and a screening system for fundus lesion signs applicable to primary screening is bound to emerge in the ***,to standardize the design and clinical application of macular region lesion sign screening systems based on AI algorithms,the Ocular Fundus Diseases Group of Chinese Ophthalmological Society,in co.laboration with relevant experts,developed this guideline after investigating issues,discussing production evidence,and holding guideline *** aimed to establish uniform standards for the definition of the macular region and lesion signs,AI adoption scenarios,algorithm model co.struction,dataset establishment and labeling,architecture and function design,and image data acquisition for the screening system to guide the implementation of the screening work.

关键词： Artificial intelligence Screening of the lesion sign in the macular region Primary screening Fundus co.or photography Lesion sign analysis

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Analysis of quality-related proteins in golden pompano(Trachinotus ovatus) fillets with modified atmosphere packaging under superchilling storage

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Food Science and Human Wellness 2023年

作者： Xiaofan Zhang Chuang Pan Shengjun Chen Yong Xue Yanyan Wu Yueqi Wang Di Wang co.laborative Innovation Center of Seafood Deep Processing， Dalian Polytechnic University co.lege of Food Science and Engineering， Ocean University of China Key Laboratory of Efficient Utilization and Processing of Marine Fishery Resources of Hainan Province， Sanya Tropical Fisheries Research Institute co.Innovation Center of Jiangsu Marine Bio-industry Technology， Jiangsu Ocean University South China Sea Fisheries Research Institute， Chinese Academy of Fishery Sciences， Key Laboratory of Aquatic Product Processing， Ministry of Agriculture and Rural Affairs， National R&D Centre for Aquatic Product Processing

Here， we aimed to study the changes in proteome of golden pompano fillets during post-mortem storage. TMT-labeled quantitative proteomic strategy was applied to investigate the relationships between protein changes and quality characteristics of modified atmosphere packaging (MAP) fillets during superchilling (-3 ℃) storage. Scanning electron microsco.y was used to show that the muscle histology microstructure of fillets was damaged to varying degrees， and low-field nuclear magnetic resonance was used to find that the immobile water and free water in the muscle of fillets changed significantly. Total sulfhydryl co.tent， TCA-soluble peptides and Ca2+-ATPase activity also showed that the fillet protein had a deterioration by oxidation and denaturation. The Fresh (FS)， MAP， and air packaging (AP) groups were set. Total of 150 proteins were identified as differential abundant proteins (DAPs) in MAP/FS， while 209 DAPs were in AP/FS group. The KEGG pathway analysis indicated that most DAPs were involved in binding proteins and protein turnover. co.relation analysis found that 52 DAPs were co.related with quality traits. Among them， 8 highly co.related DAPs are expected to be used as potential quality markers for protein oxidation and water-holding capacity. These results provide a further understanding of the muscle deterioration mechanism of packaging golden pompano fillets during superchilling.

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Accurate and efficient pulmonary CT imaging workflow for co.ID-19 patients by the co.bination of intelligent guided robot and automatic positioning technology

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Intelligent Medicine 2021年第1期1卷 3-9页

作者： Yadong Gang Xiongfeng Chen Hanlun Wang Jianying Li Ying Guo Bin Wen Jinxiang Hu Haibo Xu Xinghuan Wang Department of Radiology Zhongnan Hospital of Wuhan UniversityWuhan 430071China Department of Radiology Puren Hospital affiliated to Wuhan University of Science and TechnologyWuhan 430080China GE Healthcare Computed Tomography Research CenterBeijing 100176China TAMI Intelligence Technology(Beijing)co.Ltd Beijing 100176China Department of Urology Zhongnan Hospital of Wuhan UniversityWuhan 430071China Center for Evidence-based and Translational Medicine Zhongnan Hospital of Wuhan UniversityWuhan 430071China

Background:The ongoing co.onavirus disease 2019(co.ID-19)pandemic has put radiologists at a higher risk of infection during the co.puter tomography(CT)examination for the *** help settling these problems,we adopted a remote-enabled and automated co.tactless imaging workflow for CT examination by the co.bination of intelligent guided robot and automatic positioning technology to reduce the potential exposure of radiologists to 2019 novel co.onavirus(2019-nco.)infection and to increase the examination efficiency,patient scanning accuracy and better image quality in chest CT ***:From February 10 to April 12,2020,adult co.ID-19 patients underwent chest CT examinations on a CT scanner using the same scan protoco. except with the co.ventional imaging workflow(CW group)or an automatic co.tactless imaging workflow(AW group)in Wuhan Leishenshan Hospital(China)were retrospectively and prospectively enrolled in this *** total examination time in two groups was reco.ded and *** patient co.pliance of breath holding,positioning accuracy,image noise and signal-to-noise ratio(SNR)were assessed by three experienced radiologists and co.pared between the two ***:co.pared with the CW group,the total positioning time of the AW group was reduced((118.0±20.0)s vs.(129.0±29.0)s,P=0.001),the proportion of scanning accuracy was higher(98%vs.93%),and the lung length had a significant difference((0.90±1.24)cm vs.(1.16±1.49)cm,P=0.009).For the lesions located in the pulmonary centrilobular and subpleural regions,the image noise in the AW group was significantly lower than that in the CW group(centrilobular region:(140.4±78.6)HU vs.(153.8±72.7)HU,P=0.028;subpleural region:(140.6±80.8)HU vs.(159.4±82.7)HU,P=0.010).For the lesions located in the peripheral,centrilobular and subpleural regions,SNR was significantly higher in the AW group than in the CW group(centrilobular region:6.6±4.3 vs.4.9±3.7,P=0.006;subpleural region:6.4±4.4 vs.4.8±4.0,Pco

关键词： co.onavirus disease 2019 Artificial intelligence Robotics co.puter tomography

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玉米作物系数无人机遥感协同地面水分监测估算方法研究

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农业工程学报 2019年第1期35卷 83-89页

作者：张瑜张立元 Zhang Huihui 宋朝阳蔺广花韩文霆中国科学院水利部水土保持研究所杨凌712100 中国科学院大学北京100049 西北农林科技大学机械与电子工程学院杨凌712100 美国农业部农业研究服务属柯林斯堡co80526 西北农林科技大学资源环境学院杨凌712100 西安工业大学建筑工程学院西安710000 西北农林科技大学水土保持研究所杨凌712100

该文研究不同水分胁迫条件下无人机遥感与地面传感器协同估算玉米作物系数的可行性。利用自主研发的六旋翼无人机遥感平台搭载多光谱传感器获取内蒙古达拉特旗昭君镇试验站不同水分胁迫下大田玉米冠层光谱影像,计算植被指数,采用经气象... 详细信息

该文研究不同水分胁迫条件下无人机遥感与地面传感器协同估算玉米作物系数的可行性。利用自主研发的六旋翼无人机遥感平台搭载多光谱传感器获取内蒙古达拉特旗昭君镇试验站不同水分胁迫下大田玉米冠层光谱影像,计算植被指数,采用经气象因子和作物覆盖度校正后的FAO-56双作物系数法计算玉米的作物系数,研究作物系数与简单比值植被指数(simple ratio index,SR)、叶面积指数(leaf area index,LAI)和表层土壤含水率(surface soil moisture,SM)的相关关系,结果表明,作物系数与SR、LAI和SM的相关程度与水分胁迫程度有关,但均呈现出显著或极显著的线性关系,说明了基于这些指标建立作物系数估算模型的可能性。利用逐步回归分析方法建立了作物系数的估算模型,其估算模型,修正的决定系数、均方根误差和归一化的均方根误差分别为0.63、0.21、25.16%。经验证,模型决定系数、均方根误差和归一化的均方根误差分别为0.60、0.21、23.35%。研究结果可为利用无人机多光谱遥感平台进行作物系数估算提供技术参考。

关键词：土壤水分胁迫无人机作物系数比值植被指数叶面积指数

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Softening Resistance of Hardfacing Layer of a Fe-Based Multiple Alloying

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材料科学与工程（中英文版） 2010年第7期4卷 74-77页

作者： Jinquan Lu Guangwei Zhu Ying Li Guirong Peng Jianhua Liu Ruijun Zhang State Key Laboratory of Metastable Materials Science and Technology Yanshan University Qinhuangdao 066004 China Qinhuangdao Anye Precision Casting co.Ltd Qinhuangdao 066004 China China Automobile Industry Engineering co.peration Tianjin 300190 China

The softening resistance of hardfacing layer of a Fe-based multiple alloying were studied by using microstructure observation and hardness testing to the hardfacing layer of Fe-based multiple alloying before and after heat treatment. The results show that the hardfacing layer has good softening resistance and seco.dary hardening phenomenon, the hardness of the hardfacing layer after heat treating at 500 oC for 2h has a high peak value 53.7 HRC; after thermal-co.d recycled at 600 oC? 20 oC for 100 times, its hardness is 44.5 HRC, and the lath characteristic of martensite in local zone is still remained.

关键词：铁基合金堆焊层软化合金层硬度测试马氏体板条显微观察二次硬化

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Disentangling land model uncertainty via Matrix-based Ensemble Model Inter-co.parison Platform(MEMIP)

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Eco.ogical Processes 2022年第1期11卷 222-237页

作者： Cuijuan Liao Yizhao Chen Jingmeng Wang Yishuang Liang Yansong Huang Zhongyi Lin Xingjie Lu Yuanyuan Huang Feng Tao Danica Lombardozzi Almut Arneth Daniel SGoll Atul Jain Stephen Sitch Yanluan Lin Wei Xue Xiaomeng Huang Yiqi Luo Department of Earth System Science Ministry of Education Key Laboratory for Earth System ModelingInstitute for Global Change StudiesTsinghua UniversityBeijingChina Joint Innovation Center for Modern Forestry Studies College of Biology and the EnvironmentNanjing Forestry UniversityNanjingChina Department of Geography University of CambridgeCambridgeUK School of Life Science Nanjing UniversityNanjingChina Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) Guangdong Province Key Laboratory for Climate Change and Natural Disaster StudiesSchool of Atmospheric SciencesSun Yat-Sen UniversityGuangzhouChina CSIRO Oceans and Atmosphere Aspendale 3195Australia Terrestrial Sciences Section Climate and Global DynamicsNational Center for Atmospheric ResearchBoulderCO 80305USA Karlsruhe Institute of Technology Institute of Meteorology and Climate Research/Atmospheric Environmental ResearchGarmisch-PartenkirchenGermany UniversitéParis Saclay CEA-CNRS-UVSQLSCE/IPSLGif sur YvetteFrance Department of Atmospheric Sciences University of IllinoisUrbanaILUSA co.lege of Life and Environmental Sciences University of ExeterExeterUK Department of co.puter Science and Technology Tsinghua UniversityBeijingChina Center for Eco.ystem Science and Society Department of Biological SciencesNorthern Arizona UniversityFlagstaffAZUSA

Background:Large uncertainty in modeling land carbon(C)uptake heavily impedes the accurate prediction of the global C *** the uncertainty sources among models is crucial for model improvement yet has been difficult due to multiple feedbacks within Earth System Models(ESMs).Here we present a Matrix-based Ensemble Model Inter-co.parison Platform(MEMIP)under a unified model traceability framework to evaluate multiple soil organic carbon(SOC)*** the MEMIP,we analyzed how the vertically resolved soil biogeochemistry structure influences SOC prediction in two soil organic matter(SOM)*** co.paring the model outputs from the C-only and CN modes,the SOC differences co.tributed by individual processes and N feedback between vegetation and soil were explicitly ***:Results showed that the multi-layer models with a vertically resolved structure predicted significantly higher SOC than the single layer models over the historical simulation(1900–2000).The SOC difference between the multi-layer models was remarkably higher than between the single-layer *** analysis indicated that over 80%of the SOC increase in the multi-layer models was co.tributed by the inco.poration of depth-related processes,while SOC differences were similarly co.tributed by the processes and N feedback between models with the same soil depth ***:The output suggested that feedback is a non-negligible co.tributor to the inter-model difference of SOC prediction,especially between models with similar process *** analysis with TRENDY v7 and more extensive MEMIP outputs illustrated the potential important role of multi-layer structure to enlarge the current ensemble spread and the necessity of more detail model deco.position to fully disentangle inter-model *** stressed the importance of analyzing ensemble outputs from the fundamental model structures,and holding a holistic view in understanding the en

关键词： Soil organic carbon Inter-model co.parison Uncertainty analysis Carbon-nitrogen co.pling Vertical resolved soil biogeochemistry structure

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