Over the past several decades, abundant research has investigated the onset of gender role development in early childhood, suggesting that children as young as 3 possess substantial awareness of gender stereotypes and, by age 5, strong beliefs about the need…

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This study investigates an approach of knowledge discovery and data mining in insufficient databases. An application of Computational Taxonomy analysis demonstrates that the approach is effective in such a data mining process. The approach is characterized by the use of…

Purpose: There is an extensive literature which associates organizational learning with creation of knowledge, but models that relate organizational learning constructs and learning organization with the creation of knowledge are not found. The aim of this paper is to present…

(cont.) which is expected, given their additional knowledge resources. The respondents' urgency in looking for the relevant knowledge is the primary explanation for this difference between the two networks. This difference in knowledge networking among the different groups did not…

Objective: Medical genetics presents great potential for improving healthcare outcomes, but faces challenges for managing the test results. This paper focuses on the gaps in clinician knowledge regarding genetic testing and asks what health information technologies (IT) can help non-specialists…

El proyecto KNOW pretende añadir significado, conocimiento y razonamiento a las tecnologías actuales de Procesamiento del Lenguaje Natural., The KNOW project aims to add meaning, knowledge and reasoning to current Natural Language Processing technologies., TIN2006-15049-C03.

The underlying assumption of this study is the understanding of a specialized term as a summary of disciplinary knowledge, formalized at a textual level in the contextual relations which structure disciplinary lexical knowledge and are therefore essential for the successful…

A review of Richard E. Lee, Knowledge Matters: The Structures of Knowledge and the Crisis of the Modern World System (UQP, 2010).

This paper presents an adaptive learning model for market-making under the reinforcement learning framework. Reinforcement learning is a learning technique in which agents aim to maximize the long-term accumulated rewards. No knowledge of the market environment, such as the order…