We investigated the reactive uptake of NO(3) (an important night-time oxidant in the atmosphere) on binary mixtures containing an unsaturated organic (methyl oleate) and saturated molecules (diethyl sebacate, dioctyl sebacate, and squalane) which we call matrix molecules. These studies were carried out to better understand the reactivity of unsaturated organics in multicomponent and multiphase ...

We present a new approach to factor analysis of three-way binary data, i.e. data described by a 3-dimensional binary matrix I, describing a relationship between objects, attributes, and conditions. The problem consists in finding a decomposition of I into three binary matrices, an object-factor matrix A, an attribute-factor matrix B, and a condition-factor matrix C, with the number of factors a...

Human bone marrow derived mesenchymal stem cells (HBMSCs) have the potential to differentiate into cells such as adipocyte, osteocyte, hepatocyte and endothelial cells. In this study, the differentiation of hBMSCs into endothelial like-cells was induced in presence of vascular endothelial growth factor (VEGF) and insulin-like growth factor (IGF-1). The differentiated endothelial cells were exam...

   Repeated oral administration of mexazolam, an anti-anxiety agent, may cause adverse effects such as gastric disturbance, drowsiness, and ataxia due to transiently high blood levels. Transdermal administration would avoid the systemic side effects and gastric disorders after oral administration. We have developed a matrix using ethylene-vinyl acetate (EVA), a heat-processible and flexible mat...

educational organizations due to entry new competitors in this field, they are drawing a long-term vision for them. in order to achieve an acceptable point in this field, should be internal and external factors including of the challenges and potentials of the accelerator and the opportunities, and also examines the opportunities and then attempt to formulate the optimum strategies. in this pap...

The classical exploratory factor analysis (EFA) finds estimates for the factor loadings matrix and the matrix of unique factor variances which give the best fit to the sample correlation matrix with respect to some goodness-of-fit criterion. Common factor scores can be obtained as a function of these estimates and the data. Alternatively to the classical EFA, the EFA model can be fitted directl...