Search

随着测量技术和数值模拟技术的发展，数据驱动的湍流研究成为该领域的新研究方法。我国已建立了多个风洞实验室和多个超算中心来模拟湍流，这些研究积累了大量的湍流数据，但是国内没有集中的湍流数据管理平台，耗资巨大的实验和仿真数据难以实现交流和共享。湍流数据具有数据量大、维度高、精度高和多源异构等特点，其存储、访问与管理存在数据集成困难、数据访问低效和存储效率低等问题。设计了一个面向航空、航天和航海典型流动问题的湍流大数据分布式存储系统TDFS。结合湍流大数据的访问特点，在TDFS中设计了新的元数据组织方式和数据访问接口。实验结果表明，与HDFS和GlusterFS相比，TDFS分别实现了54.38%和57.7%的接口响应速度提升。同时，为了降低湍流大数据的存储开销，设计了基于HDF5的副本延迟压缩机制，相比原有的副本存储方式，节省了34%的存储空间。

Copyright of Big Data Research (2096-0271) is the property of Beijing Xintong Media Co., Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Feed Review is the property of Feed Review Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Application Research of Computers / Jisuanji Yingyong Yanjiu is the property of Application Research of Computers Edition and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objective To discuss the epidemiological and clinical characteristics of the severe acute respiratory infection （SARI） cases in Yunnan and their microbiology characteristics of influenza．Methods The epidemiological and clinical characteristics survey was conducted among the SARI patients hospitalized in the sentinel hospital of Yunnan，2016-2018. Throat swabs were collected to develop the detection of respiratory viruses such as influenza．Results From 2016 to 2018，the hospitalization rate of SARI cases in the sentinel hospital of Yunnan accounted for 1.20% （717/59917） of the total hospitalization cases. The positive rate of influenza nucleic acid was 4.60% （33/717） . The positive rate of other respiratory viruses was 23.81% （30/126） in the randomly selected influenza-negative SARI cases， mainly including respiratory syncytial virus， parainfluenza virus and metapneumonia virus. SARI cases mainly came from Department of Respiratory Medicine and Pediatrics. Most of them were adults and infants. Confirmed cases of influenza were mainly from young adults, children and the elderly. Complications mainly included pneumonia， respiratory failure and acute respiratory distress syndrome. SARI cases and confirmed influenza cases were mainly concentrated in the winter and spring. The trends of SARI% and ILI% were similar. Conclusion SARI monitoring was an effective supplement to ILI monitoring. We suggest that the health education of respiratory infectious disease prevention and control knowledge should be strengthened，the vaccination of influenza vaccine for key population should be promoted, and the detection of respiratory multi pathogen should be carried out [ABSTRACT FROM AUTHOR]

Copyright of Journal of Kunming Medical University / Kunming Yike Daxue Xuebao is the property of Kunming Medical Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objective To establish a detection method to R292K and N294S mutation sites in H3N2 influenza A virus with TaqMan-MGB probes. Method NA gene sequences of 23 A (H3N2) influenza strains were acquired from NCBI database and lab isolations. According to sequence alignment results， specific TaqMan-MGB probes and primers were designed for R292K and N294S mutation sites in multiple realtime PCR method. The sensitivity was detected using the ten times dilution method. Clinical specimens， other subtypes of influenza and other common respiratory viruses were used to verify the specificity of the method. Results The designed probes could detect 107 (1000 copies) dilution of the corresponding template. Other subtypes of influenza virus and common respiratory viruses showed no cross reaction. Through the detection of 57 strains isolated from annual survey， no drug resistance mutations were found. Conclusions In this study，the A (H3N2) subtype influenza virus R292K and N294S mutation site TaqMan-MGB probe detection method bas been established. It is proved that the primer probe has high sensitivity and specificity with particular application potential. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Kunming Medical University / Kunming Yike Daxue Xuebao is the property of Kunming Medical Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)