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Prevalence,variation,and transmission patterns of human respiratory syncytial virus from pediatric patients in Hubei,China during 2020–2021

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Virologica Sinica 2023年第3期38卷 363-372页

作者： Yi Yan Decheng Wang Ying Li zhiyong wu Haizhou Liu Yue Shi Xiaoxia Lu Di Liu CAS Key Laboratory of Special Pathogens and Biosafety Wuhan Institute of VirologyCenter for Biosafety Mega-ScienceChinese Academy of SciencesWuhan430071China National Virus Resource Center Chinese Academy of SciencesWuhan Institute of VirologyCenter for Biosafety Mega-ScienceWuhan430071China Computational Virology Group Center for Bacteria and Viruses Resources and BioinformationWuhan Institute of VirologyChinese Academy of SciencesWuhan430071China University of Chinese Academy of Sciences Beijing101408China Department of Respiratory Medicine Wuhan Children'HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430014China Pediatric Respiratory Disease Laboratory Institute of Maternal and Child HealthWuhan Children's HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430014China

Human respiratory syncytial virus(RSV)is a severe threat to children and a main cause of acute lower respiratory tract infections.Nevertheless,the intra-host evolution and inter-regional diffusion of RSV are little known.In this study,we performed a systematic surveillance in hospitalized children in Hubei during 2020–2021,in which 106 RSV-positive samples were detected both clinically and by metagenomic next generation sequencing(mNGS).RSV-A and RSV-B groups co-circulated during surveillance with RSV-B being predominant.About 46 high-quality genomes were used for further analyses.A total of 163 intra-host nucleotide variation(iSNV)sites distributed in 34 samples were detected,and glycoprotein(G)gene was the most enriched gene for iSNVs,with non-synonymous substitutions more than synonymous substitutions.Evolutionary dynamic analysis showed that the evolutionary rates of G and NS2 genes were higher,and the population size of RSV groups changed over time.We also found evidences of inter-regional diffusion from Europe and Oceania to Hubei for RSV-A and RSV-B,respectively.This study highlighted the intra-host and inter-host evolution of RSV,and provided some evi-dences for understanding the evolution of RSV.

关键词： Respiratory syncytial virus(RSV) Intra-host single nucleotide variation(iSNV) Evolutionary dynamic Inter-regional diffusion

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A database of modeled gridded dry deposition velocities for 45 gaseous species and three particle size ranges across North America

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Journal of Environmental Sciences 2023年第5期127卷 264-272页

作者： Leiming Zhang Zhuanshi He zhiyong wu Anne Marie Macdonald Jeffrey R.Brook Shailesh Kharol Air Quality Research Division Science and Technology BranchEnvironment and Climate Change CanadaTorontoON M3H 5T4Canada Department of Chemical Engineering and Applied Chemistry University of TorontoTorontoON M5S 2E4Canada

The dry deposition process refers to the flux loss of an atmospheric pollutant due to uptake of the pollutant by the earth’s surfaces.Dry deposition flux of a chemical species is typically calculated as the product of its surface-layer concentration and its dry deposition velocity(V_(d)).Field measurement based V_(d) data are very scarce or do not exist for many chemical species considered in chemistry transport models.In the present study,gaseous and particulate dry deposition schemes were applied to generate a database of hourly V_(d) for 45 gaseous species and three particle size ranges for two years(2016–2017)at a 15 kmby 15 km horizontal resolution across North America.Hourly V_(d) of the 45 gaseous species ranged from<0.001 to 4.6 cm/sec across the whole domain,with chemical species-dependentmedian(mean)values being in the range of 0.018–1.37 cm/sec(0.05–1.43 cm/sec).The spatial distributions of the two-year average V_(d) showed values higher than 1–3 cm/sec for those soluble and reactive species over certain land types.Soluble species have the highest V_(d) over water surfaces,while insoluble but reactive species have the highest V_(d) over forests.Hourly V_(d) of PM_(2.5) across the whole domain ranged from 0.039 to 0.75 cm/sec with median(mean)value of 0.18(0.20)cm s^(−1),while the mean V_(d) for PM_(2.5)–10 is twice that of PM_(2.5).Uncertainties in the modeled V_(d) are typically on the order of a factor of 2.0 or larger,which needs to be considered when applying the dataset in other studies.

关键词： Air quality modeling Atmospheric pollutant Atmospheric deposition Dry deposition velocity Spatiotemporal distribution

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Study on Microwave Pretreatment Technology to Improve the Effect of Shellac Impregnation of Fast-Growing Chinese Fir

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Journal of Renewable Materials 2022年第8期10卷 2041-2053页

作者： Xiya Yu Nianfeng Wei Qisong Liu zhiyong wu Mizi Fan Weigang Zhao Qinzhi Zeng College of Material Engineering Fujian Agriculture and Forestry UniversityFuzhou350002China Fujian Provincial Forestry Survey and Design Institute Fuzhou350001China Nanocellulose and Biocomposites Research Centre College of EngineeringDesign and Physical SciencesBrunel UniversityLondonUB83PHUK

To improve the mechanical properties of fast-growing Chinese fir(Cunnighamia lanceolate),expand its range of application,increase its value,and avoid the environmental pollution caused by impregnation with synthetic resin,Chinese fir was impregnated with a shellac solution.Since the shellac solution was difficult to penetrate into fast-growing Chinese fir,so microwave pretreatment was used to irradiate the wood to improve the permeability.This study investigated the effects of four factors,including the content of moisture in the wood before it was microwaved,the chamber pressure of microwave,the time of microwaving and the vacuum impregnation on the mechanical properties of Chinese fir wood.When the moisture content of wood before microwave was approximately 50%–60%,after microwaving and impregnation,the ultimate strength in static bending(modulus of rupture[MOR])and strength in compression perpendicular to the grain(SCPG)of the wood increased significantly.A microwave time of 100 seconds was more effective at improving the MOR and SCPG of the wood.If the wood was microwaved for too short or long period of time,the microwave pretreatment was not effective.When the samples were immersed in shellac for a longer period,the MOR and SCPG of Chinese fir gradually increased,but when the wood was impregnated for more than 12 hours,the increases were not significant.After the shellac penetrated the Chinese fir wood,it spread on the inner wall surface of tracheid to form a shellac film and easily formed plug-like deposits in microcapillaries.The use of Fourier-transform infrared spectroscopy,scanning electron microscopy and scanning electron microscopy-energy dispersion x-ray indicated that the microwave pretreatment can destroy the pit membranes on tracheids and facilitate the ability of shellac to penetrate the channel.

关键词： Fast-growing Chinese fir Microwave pretreatment Shellac Impregnation Mechanical properties

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A one-way coupled atmospheric-hydrological modeling system with combination of high-resolution and ensemble precipitation forecasting

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Frontiers of Earth Science 2016年第3期10卷 432-443页

作者： zhiyong wu Juan wu Guihua LU College of Hydrology and Water Resources Hohai University Nanjing 210098 China Bureau of Hydrology Information Center of Taihu Basin Authority Shanghai 200434 China

Coupled hydrological and atmospheric model- ing is an effective tool for providing advanced flood forecasting. However, the uncertainties in precipitation forecasts are still considerable. To address uncertainties, a one-way coupled atmospheric-hydrological modeling sys- tem, with a combination of high-resolution and ensemble precipitation forecasting, has been developed. It consists of three high-resolution single models and four sets of ensemble forecasts from the THORPEX Interactive Grande Global Ensemble database. The former provides higher forecasting accuracy, while the latter provides the range of forecasts. The combined precipitation forecasting was then implemented to drive the Chinese National Flood Forecasting System in the 2007 and 2008 Huai River flood hindcast analysis. The encouraging results demonstrated that the system can clearly give a set of forecasting hydrographs for a flood event and has a promising relative stability in discharge peaks and timing for warning purposes. It not only gives a deterministic prediction, but also generates probability forecasts. Even though the signal was not persistent until four days before the peak discharge was observed in the 2007 flood event, the visualization based on threshold exceedance provided clear and concise essential warning information at an early stage. Forecasters could better prepare for the possibility of a flood at an early stage, and then issue an actual warning if the signal strengthened. This process may provide decision support for civil protection authorities. In future studies, different weather forecasts will be assigned various weight coefficients to represent the covariance of predictors and the extremes of distributions.

关键词： one-way coupled hydrological and atmo- spheric modeling flood forecast high-resolution precipita-tion forecasting ensemble prediction

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WRF/CHEM modeling of impacts of weather conditions modified by urban expansion on secondary organic aerosol formation over Pearl River Delta

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Particuology 2009年第5期7卷 384-391页

作者： Xuemei Wang zhiyong wu Guixiong Liang School of Environmental Science and Engineering Sun Yat-sen University 135 Xingang Awest Road Guangzhou 510275 China Guangzhou Environmental Monitor Center Guangzhou 510010 China

In this paper, the online Weather Research and Forecasting and Chemistry （WRF/CHEM） model, coupled with urban canopy （UCM） and biogenic-emission models, is used to explore impacts of urban expansion on secondary organic aerosols （SOA） formation. Two scenarios of urban maps are used in WRF/CHEM to represent early 1990s （pre-urbanization） and current urban distribution in the Pearl River Delta （PRD）. Month-long simulation results using the above land-use scenarios for March 2001 show：（1） urbanization can increase monthly averaged temperatures by about 0.63 ℃, decrease monthly averaged 10-m wind speeds by 38%, increase monthly averaged boundary-layer depths by 80 m, and decrease monthly aver- aged water mixing ratio by 0.2g/kg. （2） Changes in meteorological conditions can result in detectable concentration changes of NOx, VOC, O3 and NO3 radicals. Urbanization decreases surface NOx and VOC concentrations by a maximum of 4 ppbv and 1.5 ppbv, respectively. Surface O3 and NO3 radical concentrations over major cities increase by about 2-4 ppbv and 4-12 pptv, respectively; areas with increasing O3 and NO3 radical concentrations generally coincide with the areas of temperature increase and wind speed reduction where NOx and VOC decrease. （3） Urbanization can induce 9% increase of SOA in Foshan, Zhongshan and west Guangzhou and 3% decrease in Shenzhen and Dongguan. Over PRD major cities, SOA from Aitken mode reduces by 30% but with more than 70% SOA from accumulate mode. Urbanization has stronger influence on SOA formation from Aitken mode. （4） Over the PRD, 55-65% SOA comes from aromatics precursors. Urbanization has strongest influence on aromatics precursors to produce SOA （14% increase）, while there is less influence on alkane precursors. Alkene precursors have negative contribution to SOA formation under urbanization situation.

关键词： Secondary organic aerosol Urban expansion WRF/CHEM model

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Modeling Pitch Contour of Chinese Mandarin Sentences with the PENTA Model

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Tsinghua Science and Technology 2012年第2期17卷 218-224页

作者： Hui Pang zhiyong wu Lianhong Cai Tsinghua-CUHK Joint Research Center for Media Sciences Technologies and SystemsGraduate School at ShenzhenTsinghua UniversityShenzhen 518055China

In continuous speech, the pitch contour of the same syllable may vary much due to its contextual information. The Parallel Encoding and Target Approximation （PENTA） model is applied here to Mandarin speech synthesis with a method to predict pitch contours for Chinese syllables with different contexts by combining the Classification And Regression Tree （CART） with the PENTA model to improve its prediction accuracy. CART was first used to cluster the syllables＇ normalized pitch contours according to the syllables contextual information and the distances between pitch contours. The average pitch contour was used to train the PENTA model with the average contour for each cluster. The initial pitch is required with the PENTA model to predict a continuous pitch contour. A Pitch Discontinuity Model （PDM） was used to predict the initial pitches at positions with voiceless consonants and prosodic boundaries. Initial tests on a Chinese four-syllable word corpus containing 2048 words were extended to tests with a continuous speech corpus containing 5445 sentences. The results are satisfactory in terms of the Root Mean Square Error （RMSE） comparing the predicted pitch contour with the original contour. This method can model pitch contours for Mandarin sentences with any text for speech synthesis.

关键词： speech synthesis PENTA model prosody analysis prosody modeling

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Long-term trends of fine particulate matter and chemical composition in the Pearl River Delta Economic Zone （PRDEZ）, China

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Frontiers of Environmental Science & Engineering 2016年第1期10卷 53-62页

作者： Xuemei WANG Weihua CHEN Duohong CHEN zhiyong wu Qi Fan School of Environmental Science and Engineering Sun Yat-Sen University Guangzhou 510275 China Guangdong Environmental Monitoring Center Guangzhou 510275 China

Understanding essential for formulating the trends in PM2.5 levels is clean air plans. This paper analyzes PM2.5 data from various published sources for the years 2000 to 2010 in the Pearl River Delta Economic Zone （PRDEZ）. The long-term variation in PM2.5 mass concentration is analyzed. Results show that PM2.5, organic carbon （OC）, elemental carbon （EC）, and SO24 show a similar trend, increasing before 2005 and then decreasing slightly. The annual average PM2.5 concentra- tion ranges from 49.1 μg·m-3 in 2000 to 64.3 μg·m-3 in 2010, with a peak of 84.1 μg· m3 in 2004. None of these 11 years meets the new National Ambient Air Quality standard （NAAQS） for PM2.5 （35 μg· m-3）. Overall average concentrations of OC, EC, and SO2/4 are 13.0, 6.5, and 11.8μg·m-3, respectively. NO3 and NH＋ respectively have concentrations of 1.5 μg·m-3 and 2.9 μg·m-3 in 2000 and 6.4 μg·m 3 and 5.3μg·m-3 in 2010, with a statistically significant average annual trend of＋ 0.2 μg·m-3 ·yr-1 and ＋ 0.1 μg· m-3. yr-1. In certain geographic regions, OC and EC contribute most of the PM2.5, while in other regions secondary water-soluble ions are more important. In general, OC and SO2/4- are the dominant components of PM2.5, contributing 20.6% and 18.6%, respectively. These results provide, for the first time, a better understanding of the long-term PM2.5 characteristics and trends, on a species-by-species basis, in the PRDEZ. The results indicate that PM2.5 abatement needs to prioritize secondary species.

关键词： long-term trends fine particulate matter,chemical components Pearl River Delta Economic Zone（PRDEZ）

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习近平关于数字经济的重要论述及创新性贡献

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企业经济 2024年第2期43卷 101-110页

作者：何苏燕武志勇中共广东省委党校经济学教研部广东广州51005 暨南大学管理学院广东广州51005

习近平围绕数字经济发展的理论与实践问题创新性地提出了一系列新观点新思想。全面、系统、深入地理解习近平关于数字经济的重要论述对于做强做优做大数字经济、把握数字经济发展战略主动具有重要意义。通过对习近平数字经济重要论述的... 详细信息

习近平围绕数字经济发展的理论与实践问题创新性地提出了一系列新观点新思想。全面、系统、深入地理解习近平关于数字经济的重要论述对于做强做优做大数字经济、把握数字经济发展战略主动具有重要意义。通过对习近平数字经济重要论述的核心要义进行梳理,归纳出习近平数字经济发展的基础认识观、时代意义观、人民福祉观、战略部署观:基础认识观从新要素、新基础、新动能、新空间、新文明、新治理六个方面准确阐释了数字经济发展的规律与趋势;时代意义观从构建新发展格局、构建现代化经济体系、构筑国家竞争新优势三方面明确了数字经济对新时代推进社会主义现代化建设的重要价值;人民福祉观体现了习近平以人民为中心的发展思想,指明了我国数字经济发展的奋斗目标和依靠力量;战略部署观展示了我国数字经济发展应从产业体系、市场体系、支撑体系、治理体系进行全方位布局。

关键词：习近平重要论述数字经济核心要义创新贡献

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NEXT:a neural network framework for next POI recommendation

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Frontiers of Computer Science 2020年第2期14卷 314-333页

作者： Zhiqian ZHANG Chenliang LI zhiyong wu Aixin SUN Dengpan YE Xiangyang LUO Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of EducationSchool of Cyber Science and EngineeringWuhan UniversityWuhan 430072China Department of Computer Science The University of Hong KongPokfulam RoadHong Kong 999077China School of Computer Science and Engineering Nanyang Technological UniversitySingapore 639798Singapore State Key Lab of Mathematical Engineering and Advanced Computing Zhengzhou 450001China

The task of next POI recommendations has been studied extensively in recent years.However,developing a unified recommendation framework to incorporate multiple factors associated with both POIs and users remains challenging,because of the heterogeneity nature of these information.Further,effective mechanisms to smoothly handle cold-start cases are also a difficult topic.Inspired by the recent success of neural networks in many areas,in this paper,we propose a simple yet effective neural network framework,named NEXT,for next POI recommendations.NEXT is a unified framework to learn the hidden intent regarding user's next move,by incorporating different factors in a unified manner.Specifically,in NEXT,we incorporate meta-data information,e.g.,user friendship and textual descriptions of POIs,and two kinds of temporal contexts(i.e.,time interval and visit time).To leverage sequential relations and geographical influence,we propose to adopt DeepWalk,a network representation learning technique,to encode such knowledge.We evaluate the effectiveness of NEXT against other state-of-the-art alternatives and neural networks based solutions.Experimental results on three publicly available datasets demonstrate that NEXT significantly outperforms baselines in real-time next POI recommendations.Further experiments show inherent ability of NEXT in handling cold-start.

关键词： POI neural networks POI recommendation

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Wearable multichannel pulse condition monitoring system based on flexible pressure sensor arrays

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Microsystems & Nanoengineering 2022年第1期8卷 249-258页

作者： Jie Wang Yirun Zhu zhiyong wu Yunlin Zhang Jian Lin Tao Chen Huicong Liu Fengxia Wang Lining Sun Jiangsu Provincial Key Laboratory of Advanced Robotics School of Mechanical and Electric EngineeringSoochow UniversitySuzhou 215123China Micro Nano System Research Center Key Laboratory of Advanced Transducers and Intelligent Control System of Ministry of Education and Shanxi Province&College of Information EngineeringTaiyuan University of TechnologyTaiyuan 030024China Suzhou Institute of Nano-tech and Nanobionics Chinese Academy of SciencesSuzhou 215123China

Pulse diagnosis is an irreplaceable part of traditional Chinese medical science.However,application of the traditional pulse monitoring method was restricted in the modernization of Chinese medical science since it was difficult to capture real signals and integrate obscure feelings with a modern data platform.Herein,a novel multichannel pulse monitoring platform based on traditional Chinese medical science pulse theory and wearable electronics was proposed.The pulse sensing platform simultaneously detected pulse conditions at three pulse positions(Chi,Cun,and Guan).These signals were fitted to smooth surfaces to enable 3-dimensional pulse mapping,which vividly revealed the shape of the pulse length and width and compensated for the shortcomings of traditional single-point pulse sensors.Moreover,the pulse sensing system could measure the pulse signals from different individuals with different conditions and distinguish the differences in pulse signals.In addition,this system could provide full information on the temporal and spatial dimensions of a person’s pulse waveform,which is similar to the true feelings of doctors’fingertips.This innovative,cost-effective,easily designed pulse monitoring platform based on flexible pressure sensor arrays may provide novel applications in modernization of Chinese medical science or intelligent health care.

关键词： multichannel system replace

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