IMMUNOPATHOLOGY OF NZB/BL MICE : V. VIRUSLIKE (FILTRABLE) AGENT SEPARABLE FROM LYMPHOMA CELLS AND IDENTIFIABLE BY ELECTRON MICROSCOPY

A filtrable agent separable from transplantable malignant lymphomas of NZB/Bl mice was capable, upon inoculation into preweanling NZB/Bl mice, of inducing lymphoid cell hyperplasia, hypergammaglobulinemia, proteinuria, hypoalbuminemia, and pathological changes (focal membranous glomerulonephritis) of kidneys—renal functional and structural changes qualitatively similar to those of spontaneous occurrence in older NZB/Bl mice. Viruslike particles with close resemblance to the typical "C" type murine oncogenic virus particles were identified by means of electron microscopy in NZB/Bl mouse tissues and cells, including malignant lymphoma cells, benign lymphoid cells of thymus and spleen, epithelial cells of renal tubules, and extracellular sites. The relevance of these observations, the first of their kind dealing with NZB/Bl mice, is discussed in relation to the several immunopathological disorders which characterize this strain of mice

Finding efficient frontier of process parameters for plastic injection molding

Product quality for plastic injection molding process is highly related with the settings for its process parameters. Additionally, the product quality is not simply based on a single quality index, but multiple interrelated quality indices. To find the settings for the process parameters such that the multiple quality indices can be simultaneously optimized is becoming a research issue and is now known as finding the efficient frontier of the process parameters. This study considers three quality indices in the plastic injection molding: war page, shrinkage, and volumetric shrinkage at ejection. A digital camera thin cover is taken as an investigation example to show the method of finding the efficient frontier. Solidworks and Moldflow are utilized to create the part's geometry and to simulate the injection molding process, respectively. Nine process parameters are considered in this research: injection time, injection pressure, packing time, packing pressure, cooling time, cooling temperature, mold open time, melt temperature, and mold temperature. Taguchi's orthogonal array L27 is applied to run the experiments, and analysis of variance is then used to find the significant process factors with the significant level 0.05. In the example case, four process factors are found significant. The four significant factors are further used to generate 34 experiments by complete experimental design. Each of the experiments is run in Moldflow. The collected experimental data with three quality indices and four process factors are further used to generate three multiple regression equations for the three quality indices, respectively. Then, the three multiple regression equations are applied to generate 1,225 theoretical datasets. Finally, data envelopment analysis is adopted to find the efficient frontier of the 1,225 theoretical datasets. The found datasets on the efficient frontier are with the optimal quality. The process parameters of the efficient frontier are further validated by Moldflow. This study demonstrates that the developed procedure has proved a useful optimization procedure that can be applied in practice to the injection molding process

A Novel Approach for Solving Semidefinite Programs

A novel linearizing alternating direction augmented Lagrangian approach is proposed for effectively solving semidefinite programs (SDP). For every iteration, by fixing the other variables, the proposed approach alternatively optimizes the dual variables and the dual slack variables; then the primal variables, that is, Lagrange multipliers, are updated. In addition, the proposed approach renews all the variables in closed forms without solving any system of linear equations. Global convergence of the proposed approach is proved under mild conditions, and two numerical problems are given to demonstrate the effectiveness of the presented approach

An Ontology of Chinese Radicals: Concept Derivation and Knowledge Representation based on the Semantic Symbols of Four Hoofed-Mammals

PACLIC / The University of the Philippines Visayas Cebu College Cebu City, Philippines / November 20-22, 200

Does Hot Money Impact Stock And Exchange Rate Markets On China?

d the returns and volatility spillover between the stock and exchange rate market in China by using the monthly data covering the period from July 2005 to June 2013. This paper also uses the quantile approach to determine whether the hot money influences the stock and exchange rate markets. The results frst reveal the long-run equilibrium relationship that is exhibited between the stock and exchange rate market. Second, hot money has an impact on the stock market but has no effect on the exchange rate market, according to the VECMBEKK model. Third, regarding the volatility spillover effects on the stock and exchange rate markets, there is a spillover effect on the Shanghai stock and exchange rate markets. Hot money has an impact on the stock and exchange rate markets. Finally, we apply the quantile regression to determine the impact of hot money on low quantiles of the exchange rate and high quantiles of the Shanghai and Shenzhen stock marke