16,245 research outputs found
The Light Lexicographic path Ordering
We introduce syntactic restrictions of the lexicographic path ordering to
obtain the Light Lexicographic Path Ordering. We show that the light
lexicographic path ordering leads to a characterisation of the functions
computable in space bounded by a polynomial in the size of the inputs
An analysis of oral reading achievement in relation to a basal text,
Thesis (M.A.)--Boston Universit
The compulation and classification of physical fitness, motor ability, and sports skills tests in physical education.
Thesis (Ed.M.)--Boston Universit
Antibody and B cell responses to Plasmodium sporozoites
Antibodies are capable of blocking infection of the liver by Plasmodium sporozoites. Accordingly the induction of anti-sporozoite antibodies is a major aim of various vaccine approaches to malaria. In recent years our knowledge of the specificity and quantities of antibodies required for protection has been greatly expanded by clinical trials of various whole sporozoite and subunit vaccines. Moreover, the development of humanized mouse models and transgenic parasites have also aided our ability to assess the specificity of antibodies and their ability to block infection. Nonetheless, considerable gaps remain in our knowledge - in particular in understanding what antigens are recognized by infection blocking antibodies and in knowing how we can induce robust, long-lived antibody responses. Maintaining high levels of circulating antibodies is likely to be of primary importance, as antibodies must block infection in the short time it takes for sporozoites to reach the liver from the skin. It is clear that a better understanding of the development of protective B cell-mediated immunity will aid the development and refinement of malaria vaccines.The authors acknowledge the support of the Australian National
University and Perpetual Foundation for research in the Cockburn
laboratory
An Improved Stock Price Prediction using Hybrid Market Indicators
In this paper the effect of hybrid market indicators is examined for an improved stock price prediction. The hybrid market indicators consist of technical, fundamental and expert opinion variables as input to artificial neural networks model. The empirical results obtained
with published stock data of Dell and Nokia obtained from New York Stock Exchange shows that the proposed model can be effective to improve accuracy of stock price prediction
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