87 research outputs found
Public Discourses and Cultural Authority in the ‘Civilization Around Table’ Movement in China Since 2000
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A Consideration on the Rise of Chinese Electric Appliances Enterprises and the Future Business Strategy of Japanese-Affiliated Companies
近年、中国家電産業は著しい発展を遂げている。とりわけ、国内市場で外資系特に日系企業に追い付き、さらに追い越した地場企業までも出現し、中国家電産業の発展は新たな段階を迎えようとしている。 一方、90年代には、投資の自由化が進み、日系家電企業は輸出とともに、現地生産が認められるなど、中国市場参入を果たしたものの、90年代半ばから中国市場でのシェアが低迷している。 このような背景の下で、本論文では、中国家電企業の台頭と日系企業の伸び悩み(不振を続けたことを指す)の原因、及び新たな対中戦略について考察する。Recently, Chinese consumer electronic industry accomplishes remarkable development. In the domestic market, the local enterprise is attaining foreign enterprise, especially it starts overtaking Japanese company. Chinese consumer electronic industry is entering a new developable phase. On the other hand, the Japanese consumer electronic keeps low relative market share in China since the middle of 1990s. Though in the 1990s, by the policy of liberalize investment, foreign enterprise can export products and local production are admitted. Under such a background, the author will discuss the rise of the Chinese consumer electronic industry, analysis the reasons why the Japanese Company keep inactive in the China market. At last a new strategy toward China market is considered in this thesis.研究ノート(Note)application/pdfdepartmental bulletin pape
New Method for Joint Network Analysis Reveals Common and Different Coexpression Patterns among Genes and Proteins in Breast Cancer
We focus on characterizing
common and different coexpression patterns
among RNAs and proteins in breast cancer tumors. To address this problem,
we introduce Joint Random Forest (JRF), a novel nonparametric algorithm
to simultaneously estimate multiple coexpression networks by effectively
borrowing information across protein and gene expression data. The
performance of JRF was evaluated through extensive simulation studies
using different network topologies and data distribution functions.
Advantages of JRF over other algorithms that estimate class-specific
networks separately were observed across all simulation settings.
JRF also outperformed a competing method based on Gaussian graphic
models. We then applied JRF to simultaneously construct gene and protein
coexpression networks based on protein and RNAseq data from CPTAC-TCGA
breast cancer study. We identified interesting common and differential
coexpression patterns among genes and proteins. This information can
help to cast light on the potential disease mechanisms of breast cancer
Additional file 4: Table S3. of Inter-tissue coexpression network analysis reveals DPP4 as an important gene in heart to blood communication
Number of significant gene-modules identified for each tissue pair. (PDF 42 kb
地震・津波観測監視システム : 尾鷲市古江町陸上局の「防災教育・人材育成のための地域拠点」としての基本構想策定に関する共同研究
application/pdfdepartmental bulletin pape
Additional file 11: Table S10. of Inter-tissue coexpression network analysis reveals DPP4 as an important gene in heart to blood communication
KEGG and disease pathway enrichment analysis for genes that correlate with DPP4 within the heart. (XLSX 16 kb
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