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Epidemiological Surveillance: Genetic Diversity of Rotavirus Group A in the Pearl River Delta, Guangdong, China in 2019

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Biomedical and Environmental Sciences 2024年第3期37卷 278-293页

作者： JIANG Jie Ying LIANG Dan WANG Li XIAO Yun LIANG Yu Feng KE Bi Xia SU Juan XIAO Hong WANG Tao ZOU Min LI Hong Jian KE Chang Wen School of Public Health Shantou UniversityShantou 515063GuangdongChina Guangdong Provincial center for Disease Control and Prevention Guangdong Workstation for Emerging Infectious Disease Control and PreventionGuangzhou 511430GuangdongChina Guangdong Provincial Key Laboratory of Virology Institute of Medical MicrobiologyJinan UniversityGuangzhou 510632GuangdongChina School of Public Health Sun Yat-sen UniversityGuangzhou 510275GuangdongChina School of Public Health Southern Medical UniversityGuangzhou 510515GuangdongChina Shantou University Medical College Shantou 515041GuangdongChina

Objective This study aimed to understand the epidemic status and phylogenetic relationships of rotavirus group A(RVA)in the Pearl River Delta region of Guangdong Province,*** This study included individuals aged 28 days–85 years.A total of 706 stool samples from patients with acute gastroenteritis collected between January 2019 and January 2020 were analyzed for 17 causative pathogens,including RVA,using a Gastrointestinal Pathogen Panel,followed by genotyping,virus isolation,and complete sequencing to assess the genetic diversity of *** The overall RVA infection rate was 14.59%(103/706),with an irregular epidemiological *** proportion of co-infection with RVA and other pathogens was 39.81%(41/103).Acute gastroenteritis is highly prevalent in young children aged 0–1 year,and RVA is the key pathogen circulating in patients 6–10 months of age with diarrhea.G9P[8](58.25%,60/103)was found to be the predominant genotype in the RVA strains,and the 41 RVA-positive strains that were successfully sequenced belonged to three different RVA genotypes in the phylogenetic *** analysis showed that gene reassortment events,selection pressure,codon usage bias,gene polymorphism,and post-translational modifications(PTMs)occurred in the G9P[8]and G3P[8]*** This study provides molecular evidence of RVA prevalence in the Pearl River Delta region of China,further enriching the existing information on its genetics and evolutionary characteristics and suggesting the emergence of genetic *** the surveillance of genotypic changes and gene reassortment in RVA strains is essential for further research and a better understanding of strain variations for further vaccine development.

关键词： Infectious diarrheal disease Rotavirus Phylogenetic analysis Gene rearrangement Codon usage bias Genetic diversity

Episodic Paleozoic Adakitic Magmatism in the Eastern Tianshan,southern Altaids:Implications for Petrogenesis and Geodynamics

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Acta Geologica Sinica(English Edition) 2022年第4期96卷 1136-1149页

作者： WANG Meng XIAO Wenjiao MAO Qigui YANG He WANG Hao LI Rui College of Geography and Remote Sensing Sciences Xinjiang UniversityUrumqi 830046China xinjiang research center for Mineral Resources Xinjiang Institute of Ecology and GeographyChinese Academy of SciencesUrumqi 830011China University of Chinese Academy of Sciences Beijing 100049China

The adakites rocks are typically considered as direct diagnostic evidence for subduction and continental growth,as well as the important evidence to determine the location of the major oceanic basin and evolution history of lost oceanic basins,which are longstanding conundrums for understanding the tectonics of the Paleo-Asian Ocean(PAO).As the processor of the Altaids,the PAO was a long-lived ocean,and its multiple subductions led to substantial continental growth in the Central Asian *** we report our newly discovered Paleozoic adakitic rocks(granite and dacite)developed in Jijitaizi in the Eastern Tianshan of the southern Altaids to address the above *** Jijitaizi granite and dacite contain high concentrations of Sr(203-343 ppm)and low concentrations of Y(3.00-6.36 ppm)and Yb(0.23-0.62 ppm),indicative of the adakitic *** U-Pb dating results show that the adakitic rocks were formed in three episodes at 372.26±1.51 Ma,356.02±1.11 Ma and 334.51±0.68 Ma from the Late Devonian to *** rocks are depleted in Nb,P and Ti,and possess variable Mg#values(28.51-57.22),high Na_(2)O/K_(2)O ratios(1.39-4.94),as well as relatively depleted Hf isotopic compositions,all of which point to a subduction origin from slab *** new finding with the date from the Jijitaizi complex(ca.321 Ma)suggests continuing subduction of the Paleo-Asian oceanic slab beneath the Central Tianshan from the Late Devonian to *** work provides a solid line of key evidence demonstrating that continuous oceanic subduction of the major PAO evolved into its mature stage following subducting beneath the Central Tianshan from ca.372 to 321 Ma.

关键词： Adakite Paleo-Asian Ocean Eastern Tianshan CAOB Multiple subduction

Tectonic Background of the Yutian M_S7.3 Earthquake in 2014 and Its Relationship with the Yutian M_S7.3 Earthquake in 2008

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Earthquake research in China 2015年第1期29卷 30-37页

作者： Cheng Jia Liu Jie Sheng Shuzhong Yao Qi Liu Daiqin China Earthquake Networks center Institute of Disaster Prevention Earthquake Administration of xinjiang Uygur Autonomous region

The regional tectonic background and characteristics of active faults of the Yutian MS7.3earthquake on February 12,2014 are discussed in this *** the analysis of the epicenter area of the MS7.3 earthquake in 2014 and the focal mechanisms of the former strong earthquakes around it,the authors deduced that the seismogenic fault of the MS7.3earthquake is the east branch of the Ashikule *** MS7.3 earthquake in 2014 and the MS7.3 earthquake in 2008 are two strong earthquake events on the different sections of the Altun Tagh fault,where the fault behavior changes from sinistral slip to normal faulting because of the extensional tail effects in the southern end of the Altun Tagh *** is concluded that the two MS7.3 earthquakes have the same dynamic source,and the MS7.3earthquake in 2008 promoted the occurrence of the MS7.3 earthquake in ***,we calculate the Coulomb stress change to the seismogenic fault of the MS7.3 earthquake in2014 from the MS7.3 earthquake in 2008 using the layered crust *** result also shows that the MS7.3 earthquake in 2008 accelerated the occurrence of the MS7.3earthquake in 2014.

关键词： The Yutian Ms7. 3 earthquake on February 12 2014 Tectonic backgroundSeismogenic fault The Yutian Ms7. 3 earthquake in 2008

Segmentation of Remote Sensing Images Based on U-Net Multi-Task Learning

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Computers, Materials & Continua 2022年第11期73卷 3263-3274页

作者： Ni Ruiwen Mu Ye Li Ji Zhang Tong Luo Tianye Feng Ruilong Gong He Hu Tianli Sun Yu Guo Ying Li Shijun Thobela Louis Tyasi College of information Technology Jilin Agricultural UniversityChangchun130118China Jilin Province agricultural Internet of Things Technology Collaborative Innovation center Changchun130118China Jilin Province Intelligent Environmental Engineering research center Changchun130118China Jilin Province information Technology and Intelligent Agriculture Engineering research center Changchun130118China College of information Technology Wuzhou UniversityWuzhou543003China Guangxi Key Laboratory of Machine Vision and Intelligent Control Wuzhou543003China Department of agricultural Economics and Animal Production University of LimpopoSovengaPolokwane0727South Africa

In order to accurately segment architectural features in highresolution remote sensing images,a semantic segmentation method based on U-net network multi-task learning is ***,a boundary distance map was generated based on the remote sensing image of the ground truth map of the *** remote sensing image and its truth map were used as the input in the U-net network,followed by the addition of the building ground prediction layer at the end of the U-net *** on the ResNet network,a multi-task network with the boundary distance prediction layer was *** involving the ISPRS aerial remote sensing image building and feature annotation data set show that compared with the full convolutional network combined with the multi-layer perceptron method,the intersection ratio of VGG16 network,VGG16+boundary prediction,ResNet50 and the method in this paper were increased by 5.15%,6.946%,6.41%and 7.86%.The accuracy of the networks was increased to 94.71%,95.39%,95.30%and 96.10%respectively,which resulted in high-precision extraction of building features.

关键词： Multitasking learning U-net ResNet remote sensing image semantic segmentation

A Lightweight Model of VGG-U-Net for Remote Sensing Image Classification

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Computers, Materials & Continua 2022年第12期73卷 6195-6205页

作者： Mu Ye Li Ji Luo Tianye Li Sihan Zhang Tong Feng Ruilong Hu Tianli Gong He Guo Ying Sun Yu Thobela Louis Tyasi Li Shijun College of information Technology Jilin Agricultural UniversityChangchun130118China Jilin Province agricultural Internet of Things Technology Collaborative Innovation center Changchun130118China Jilin Province Intelligent Environmental Engineering research center Changchun130118China Jilin Province information Technology and Intelligent Agriculture Engineering research center Changchun130118China College of Engineering and Technology Jilin Agricultural UniversityChangchun130118China Department of agricultural Economics and Animal Production University of LimpopoSovenga0727PolokwaneSouth Africa College of information Technology Wuzhou UniversityWuzhou543003China Guangxi Key Laboratory of Machine Vision and Intelligent Control Wuzhou543003China

Remote sensing image analysis is a basic and practical research hotspot in remote sensing *** sensing images contain abundant ground object information and it can be used in urban planning,agricultural monitoring,ecological services,geological exploration and other *** this paper,we propose a lightweight model combining vgg-16 and u-net *** combining two convolutional neural networks,we classify scenes of remote sensing *** ensuring the accuracy of the model,try to reduce the memory of *** to the experimental results of this paper,we have improved the accuracy of the model to 98%.The memory size of the model is 3.4 *** the same time,The classification and convergence speed of the model are greatly *** simultaneously take the remote sensing scene image of 64×64 as input into the designed *** the accuracy of the model is 97%,it is proved that the model designed in this paper is also suitable for remote sensing images with few target feature points and low ***,the model has a good application prospect in the classification of remote sensing images with few target feature points and low pixels.

关键词： VGG-16 U-Net fewer feature points nonlinear correction layer zero padding

Quantifying the spatial variation in the potential productivity and yield gap of winter wheat in China

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Journal of Integrative Agriculture 2017年第4期16卷 845-857页

作者： ZHANG Shi-yuan ZHANG Xiao-hu QIU Xiao-lei TANG Liang ZHU Yan CAO Wei-xing LIU Lei-lei National Engineering and Technology center for information Agriculture Jiangsu Key Laboratory for Information AgricultureJiangsu Collaborative Innovation Center for Modern Crop ProductionNanjing Agricultural University Nanjing 210095 P.R. China

Despite the improvement in cultivar characters and management practices, large gaps between the attainable and potential yields still exist in winter wheat of China. Quantifying the crop potential yield is essential for estimating the food production capacity and improving agricultural policies to ensure food security. Gradually descending models and geographic infor- mation system （GIS） technology were employed to characterize the spatial variability of potential yields and yield gaps in winter wheat across the main production region of China. The results showed that during 2000-2010, the average potential yield limited by thermal resource （YGT） was 23.2 Mg ha-1, with larger value in the northern area relative to the southern area. The potential yield limited by the water supply （YGw） generally decreased from north to south, with an average value of 1.9 Mg ha-1 across the entire study region. The highest YGw in the north sub-region （NS） implied that the irrigation and drainage conditions in this sub-region must be improved. The averaged yield loss of winter wheat from nutrient deficiency （YGH） varied between 2.1 and 3.1 Mg ha-1 in the study area, which was greater than the yield loss caused by water limitation. The potential decrease in yield from photo-thermal-water-nutrient-limited production to actual yield （YGo） was over 6.0 Mg ha-1, ranging from 4.9 to 8.3 Mg ha^-1 across the entire study region, and it was more obvious in the southern area than in the northern area. These findings suggest that across the main winter wheat production region, the highest yield gap was induced by thermal resources, followed by other factors, such as the level of farming technology, social policy and economic feasibility. Furthermore, there are opportunities to narrow the yield gaps by making full use of climatic resources and developing a reasonable production plan for winter wheat crops. Thus, meeting the challenges of food security and sustainability in the coming decades is p

关键词： spatial variation potential productivity yield gap winter wheat China

Application of informatics in cancer research and clinical practice:Opportunities and challenges

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Cancer Innovation 2022年第1期1卷 80-91页

作者： Na Hong Gang Sun Xiuran Zuo Meng Chen Li Liu Jiani Wang Xiaobin Feng Wenzhao Shi Mengchun Gong Pengcheng Ma Department of Medical Sciences Digital Health China Technologies Co.Ltd.BeijingChina xinjiang Cancer center Key Laboratory of Oncology of Xinjiang Uyghur Autonomous RegionThe Affiliated Cancer Hospital of Xinjiang Medical UniversityÜrümqiChina Department of information Central Hospital of WuhanTongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina National Cancer center National Clinical Research Center for CancerCancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina Big Data center Nanfang HospitalSouthern Medical UniversityGuangzhouChina Hepato‐Pancreato‐Biliary center Beijing Tsinghua Changgung HospitalSchool of Clinical MedicineTsinghua UniversityBeijingChina Institute of Health Management Southern Medical UniversityGuangzhouChina

Cancer informatics has significantly progressed in the big data *** summarize the application of informatics approaches to the cancer domain from both the informatics perspective(e.g.,data management and data science)and the clinical perspective(e.g.,cancer screening,risk assessment,diagnosis,treatment,and prognosis).We discuss various informatics methods and tools that are widely applied in cancer research and practices,such as cancer databases,data standards,terminologies,high‐throughput omics data mining,machine‐learning algorithms,artificial intelligence imaging,and intelligent *** also address the informatics challenges within the cancer field that pursue better treatment decisions and patient outcomes,and focus on how informatics can provide opportunities for cancer research and ***,we conclude that the interdisciplinary nature of cancer informatics and collaborations are major drivers for future research and applications in clinical *** is hoped that this review is instrumental for cancer researchers and clinicians with its informatics‐specific insights.

关键词： artificial intelligence application cancer informatics machine learning

Borana rangeland of southern Ethiopia:Estimating biomass production and carrying capacity using field and remote sensing data

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Plant Diversity 2022年第6期44卷 598-606页

作者： Yeneayehu Fenetahun You Yuan Xin-Wen Xu Yong-Dong Wang National Engineering Technology research center for Desert-Oasis Ecological Construction Xinjiang Institute of Ecology and GeographyChinese Academy of Sciences818 South Beijing RoadUrumqi 830011XinjiangChina University of Chinese Academy of Sciences Beijing100049China

Assessing rangeland productivity is critical to reduce ecological degradation and promote sustainable livestock ***,we estimated biomass productivity and carrying capacity dynamics in the Borana rangeland of southern Ethiopia by using field-based data and remote sensing data(i.e.,normalized difference vegetation index(NDVI)).Data was collected from both rainy and dry seasons when biomass production was high and low *** of linear regression showed that both biomass production(R^(2)_(adj)=0.672)and NDVI value(R^(2)_(adj)=0.471)were significantly decreased from 1990 to *** data and NDVI values for mean annual biomass showed a significant linear *** model accuracy in the annual relationship between the observed and predicted biomass values was strong(R^(2)_(adj)=0.986)but with high standard error,indicating that the observed biomass production in the rangeland area was not in good condition as compared with the predicted *** study suggests that,using NDVI data and field-based data in combined way has high potential to estimate rangeland biomass and carrying capacity dynamics at extensively grazed arid and semi-arid *** to use for estimating stoking rates and predicting future management techniques for decision making.

关键词： NDVI Biomass Carrying capacity Rangeland Borana Season

Quantifying the agreement and accuracy characteristics of four satellite-based LULC products for cropland classification in China

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Journal of Integrative Agriculture 2024年第1期23卷 283-297页

作者： Jie Xue Xianglin Zhang Songchao Chen Bifeng Hu Nan Wang Zhou Shi Department of Land Management Zhejiang UniversityHangzhou 310058China Institute of Applied Remote Sensing and information Technology College of Environmental and Resource SciencesZhejiang UniversityHangzhou 310058China ZJU-Hangzhou Global Scientific and Technological Innovation center Zhejiang UniversityHangzhou 311215China Department of Land Resource Management School of Public Finance and Public AdministrationJiangxi University of Finance and EconomicsNanchang 330013China Key Laboratory of Data Science in Finance and Economics Jiangxi University of Finance and EconomicsNanchang 330013China Key Laboratory of Spectroscopy Sensing Ministry of Agriculture and Rural AffairsHangzhou 310058China

Various land use and land cover(LULC)products have been produced over the past decade with the development of remote sensing *** the differences in LULC classification schemes,there is a lack of research on assessing the accuracy of their application to croplands in a unified ***,this study evaluated the spatial and area accuracies of cropland classification for four commonly used global LULC products(i.e.,MCD12Q1V6,GlobCover2009,FROM-GLC and GlobeLand30)based on the harmonised FAO criterion,and quantified the relationships between four factors(i.e.,slope,elevation,field size and crop system)and cropland classification *** validation results indicated that MCD12Q1 and GlobeLand30 performed well in cropland classification regarding spatial consistency,with overall accuracies of 94.90 and 93.52%,*** FROMGLC showed the worst performance,with an overall accuracy of 83.17%.Overlaying the cropland generated by the four global LULC products,we found the proportions of complete agreement and disagreement were 15.51 and 44.72% for the cropland classification,*** consistency was mainly observed in the Northeast China Plain,the Huang-Huai-Hai Plain and the northern part of the Middle-lower Yangtze Plain,*** contrast,low consistency was detected primarily on the eastern edge of the northern and semiarid region,the Yunnan-Guizhou Plateau and southern *** size was the most important factor for mapping *** area accuracy,compared with China Statistical Yearbook data at the provincial scale,the accuracies of different products in descending order were:GlobeLand30,FROM-GLC,MCD12Q1,and *** cropland classification schemes mainly caused large area deviations among the four products,and they also resulted in the different ranks of spatial accuracy and area accuracy among the four *** results can provide valuable suggestions for selecting cropland products at the national or provinc

关键词： global LULC products cropland mapping accuracy evaluation food security China