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CAS IR Grid
机构
长春光学精密机械与物... [3]
上海药物研究所 [1]
采集方式
OAI收割 [4]
内容类型
会议论文 [3]
期刊论文 [1]
发表日期
2024 [1]
2010 [3]
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SARS-CoV-2 envelope protein-derived extracellular vesicles act as potential media for viral spillover
期刊论文
OAI收割
JOURNAL OF MEDICAL VIROLOGY, 2024, 卷号: 96, 期号: 7, 页码: 11
作者:
Li, Shuangqu
;
Bu, Jiwen
;
Pan, Xiaoyan
;
Li, Qiguang
;
Zuo, Xiaoli
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2024/09/26
cellular signal transduction
coronavirus
cytokine/chemokine
immune responses
research and analysis methods
virus classification
Pre-process technique study of a high performance remote image sensor structural Finite Element Analysis (EI CONFERENCE)
会议论文
OAI收割
2010 2nd International Conference on Computer Engineering and Technology, ICCET 2010, April 16, 2010 - April 18, 2010, Chengdu, China
作者:
Zhang L.
;
Xu Y.-S.
;
Zhang L.
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2013/03/25
High precision structural Finite Element Analysis (FEA) results are required in the development of a remote image sensor. HperMesh and MSC. Nastran are employed in the image sensor structural FEA. This paper discusses some technical issues about the Finite Element (FE) modeling of the image sensor. In order to obtain authentic analysis results
the part-to-whole handling schema
i.e. handling method and research work is implemented in a small part of the model firstly and a revised method is used in the whole structural in succession
has been proposed. Some emphasis is mainly put on the FE handling of bolted joint
bearing and inter-element connection. The interface handling methods
such as CBEAM plus partial MPC bolted joint model
hybrid element bearing model and RBE3 beam-to-solid connection
have been produced and successfully implemented in the image sensor structural FEA. 2010 IEEE.
Optimal design of strap-down inertial navigation support under random loads (EI CONFERENCE)
会议论文
OAI收割
2010 IEEE International Conference on Information and Automation, ICIA 2010, June 20, 2010 - June 23, 2010, Harbin, Heilongjiang, China
作者:
Li M.
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浏览/下载:29/0
  |  
提交时间:2013/03/25
In order to realize miniaturization and light weight of the strap-down inertial navigation system
and then to make sure that it works well under random loads
optimal design is applied to the strap-down inertial navigation support with the methods of topology optimization and size optimization. Firstly
based on the installation requirement of devices and connection requirement of the support and the carrier
the initial structure of the support is designed. Topology optimization with FEA software ANSYS is adopted on the initial structure to get the basic one. Then 5 critical sizes are chosen as design variables
and the support structure is optimized by means of size optimization to reach light weight with satisfying the requirement of dynamic stiffness. Finally
random vibration analysis is applied to the initial structure. In the mean time
random vibration test is carried out to qualify the analysis method. After the qualification
a random vibration analysis is applied to the optimized support structure to get the rms of displacement response and acceleration response of the support to validate whether the optimized structure is appropriate. The results indicate that the dynamic stiffness of the optimized support structure satisfies the design requirements
and its weight is lighter 49.38% than that of the initial one. This research can be a reference to the structure design of supports under random loads
and the result has been applied to the development and manufacture of a prototype aerocraft. 2010 IEEE.
Qualitative determination of the components of textile products using near infrared spectroscopy (EI CONFERENCE)
会议论文
OAI收割
International Symposium on Photonics and Optoelectronics, SOPO 2010, June 19, 2010 - June 21, 2010, Chengdu, China
作者:
Chen X.
;
Chen X.
;
Chen X.
;
Wang D.
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  |  
浏览/下载:29/0
  |  
提交时间:2013/03/25
In the paper
A total of 40 pure or two-mixed textile weaves were prepared and classification of these samples was introduced using near infrared spectroscopy (NIRS)
all textile samples are selected among four classes
which are Cotton-Terylene
Cotton-Polyurethane
Cotton and Terylene
according to theirs components. Near infrared diffuse reflectance spectra of the samples were collected
Mahalanobis distance was used to discriminate the samples coupled with principle components analysis (PCA)
the results showed that near infrared spectroscopy could determine which class one textile weave belongs to easily comparing with traditional methods. In addition
the expectation of the further research on qualitative determination of textile products by NIR technology was discussed in the end of this paper. 2010 IEEE.