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This study was designed to examine the ability to use prior knowledge in text comprehension and knowledge integration. The focus of the research was on effects of different degrees of subjects' theoretical knowledge in the domain of biochemistry on their…

his dissertation analyzes how local knowledge improves environmental decisions. The premise is that controlling pollution and addressing public health disparities are not problems that professionals alone can solve. Concerned lay publics, especially low-income populations and people of color that experience…

Se estudian diversos aspectos del comportamiento malacofágico de Rattus rattus L. en dos
zonas de nidificación arbórea del litoral mediterráneo español. Los temas tratados se refieren a
la composición cualitativa y cuantitativa de su dieta malacológica, las técnicas de predación…

This study investigated the underlying factor structure of second language (L2) cloze test performance as explained by a theoretical model including the following hypothetical constructs: cloze-taking ability, knowledge of language, knowledge of text content, and knowledge of contextual constraints. Eight…

Most neural network learning algorithms cannot use knowledge other than what is provided in the training data. Initialized using random weights, they cannot use prior knowledge such as knowledge stored in previously trained networks. This manuscript thesis addresses this problem.…

(cont.) to the verifier., We consider an implementation of a weakened notion of zero-knowledge (weak ZK) where the simulator is also allowed to depend on the distinguisher as well, so this type of ZK entails exhibiting an efficient simulator for…

by Stephen V. Glynn [and] Thomas G. Pelland., Thesis (S.M.)--Massachusetts Institute of Technology, System Design & Management Program, 2000., Includes bibliographical references (p. 134-135).

Descripción completa.

Descripción completa.