Ruoxi Wang

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Mitogen-activated protein kinases (MAPKs) are involved in the regulation of cardiac hypertrophy and myocyte survival. Extracellular signal regulated protein kinase 1 and 2 (ERK1/2) are key components in the MAPK signaling pathways. Dysfunction of ERK1/2 in congenital heart diseases (Noonan syndrome and LEOPARD syndrome) leads to cardiac hypertrophy. ERK2(More)
Kernel matrices are popular in machine learning and scientific computing, but they are limited by their quadratic complexity in both construction and storage. It is well-known that as one varies the kernel parameter, e.g., the width parameter in radial basis function kernels, the kernel matrix changes from a smooth low-rank kernel to a diagonally-dominant(More)
While N,N'-dialkylimidazolium ionic liquids (ILs) have been well-established as effective solvents for dissolution and processing of cellulose, the detailed mechanism at the molecular level still remains unclear. In this work, we present a combined quantum chemistry and molecular dynamics simulation study on how the ILs dissolve cellulose. On the basis of(More)
Public malaria health promotion is an integral part of the national malaria elimination programme, which was launched by the Chinese government in 2010. However, the public awareness of malaria needs to improve. This study aims to explore the determinants of public awareness of malaria. A cross-sectional survey was conducted using stratified sampling method(More)
Remarkable progress in the elimination of malaria has been achieved by the Chinese government in the past 5 years. However, imported cases have increased rapidly, and it is a critical threat to the national malaria elimination programme. This study aims to investigate the current status of the public awareness of malaria in the middle stage of the national(More)
Principle Component Analysis (PCA) is used to reduce dimension-ality and noise, while still preserving the majority of the variance in the data. It however gives little guarantee on the predictive value of the remaining data. This paper proposes an inverted Principle Component Analysis (iPCA), to achieve dimensionality and noise reduction, by removal of the(More)
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