Zobrazeno 1 - 10 of 40 pro vyhledávání: '"Xue-Mei Cui"'
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Akademický článek
Prophylactic Antitumor Effect of Mixed Heat Shock Proteins/Peptides in Mouse Sarcoma
Autor: Yu Wang, Shu-Yun Liu, Mei Yuan, Yu Tang, Quan-Yi Guo, Xue-Mei Cui, Xiang Sui, Jiang Peng
Publikováno v: Chinese Medical Journal, Vol 128, Iss 16, Pp 2234-2241 (2015)
Background: To develop a vaccine-based immunotherapy for sarcoma, we evaluated a mixture of heat shock proteins (mHSPs) as a vaccine for sarcoma treatment in a mouse model. Heat shock protein/peptides (HSP/Ps) are autoimmune factors that can induce b
Externí odkaz: https://doaj.org/article/10764145e5f144729fe6299ae2a47ebe
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4
Dynamic burstiness of word-occurrence and network modularity in textbook systems
Autor: Chang No Yoon, Hyejin Youn, Seung Kee Han, Sang Hoon Lee, Jean S. Jung, Xue Mei Cui
Publikováno v: Physica A: Statistical Mechanics and its Applications. 487:103-110
We show that the dynamic burstiness of word occurrence in textbook systems is attributed to the modularity of the word association networks. At first, a measure of dynamic burstiness is introduced to quantify burstiness of word occurrence in a textbo
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e8ef720a7bf1942cee4f01a4c71b727c
https://doi.org/10.1016/j.physa.2017.06.002
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8
A Case Study of Problem-Based Learning for University Physics
Autor: Xue-Mei Cui, Seung Kee Han
Publikováno v: Proceedings of the 2017 International Conference on Education, Economics and Management Research (ICEEMR 2017).
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4a8bd58e2f75deb4119ec4151b11a401
https://doi.org/10.2991/iceemr-17.2017.133
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9
Application of Improved Back Propagation Neural Network in Mowing Robot’s Path Planning
Autor: Xue Mei Cui, Yan Deng, Guo Wei Yang, Shao Long Wu
Publikováno v: Applied Mechanics and Materials. :916-919
To address the problem of planning complete coverage paths for mowing robots that have the greatest coverage rates and the lowest repetitive rates, we proposed an improved back propagation neural network algorithm based on priority traversal thoughts
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bc9aafaaaee0b4001f618994dc383960
https://doi.org/10.4028/www.scientific.net/amm.602-605.916
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