Regression coefficients specify the partial effect of a regressor on the dependent variable. Sometimes the bivariate or limited multivariate relationship of that regressor variable with the dependent variable is known from population-level data. We show here that such population-level data can be used to reduce variance and bias about estimates of those regression coefficients from sample surve...

The molecular mechanism of complement resistance of the human SK-MEL-170 melanoma cell line was investigated. The cells have been shown to express the C3b-cleaving membrane protease p65. To delineate the molecular consequences of the C3b-cleaving activity for the complement cytotoxicity, the molecular events during the initiation (R24 monoclonal antibody, C1), amplification (C4, C3), and membra...

Mouse monoclonal antibodies (mAb) detecting 13 distinct systems of surface antigens on cultured melanocytes and melanomas were tested for reactivity with panels of (a) normal and malignant cultured cells; (b) normal adult and fetal tissues; and (c) specimens of metastatic melanoma and other tumor types. The objectives of this study were to compare antigen expression in cultured versus noncultur...

the effect of economic growth and free trade on environment and transnational pollutions is one of the most important current discussions in the field of environmental economics. nowadays, the economics, social and developmental consequences of the climatic changes around the world is increasingly accepted and approved. in fact, the environment is considered as one of the key elements for susta...

This paper presents the results of Persian handwritten word recognition based on Mixture of Experts technique. In the basic form of ME the problem space is automatically divided into several subspaces for the experts, and the outputs of experts are combined by a gating network. In our proposed model, we used Mixture of Experts Multi Layered Perceptrons with Momentum term, in the classification ...

We introduce a new supervised algorithm for image classification with rejection using multiscale contextual information. Rejection is desired in image-classification applications that require a robust classifier but not the classification of the entire image. The proposed algorithm combines local and multiscale contextual information with rejection, improving the classification performance. As ...