Organizations must establish processes for managing knowledge across boundaries because of the specialized and task-dependent forms of knowledge required to deliver products and services. To address this challenge an integrative framework is developed that identifies and integrates the value of…

While birdsong is a model system for animal communication studies, our knowledge is derived primarily from the study of only one sex and is therefore incomplete. The study of song in a role-reversed species would provide a unique opportunity to…

La rabia es una enfermedad infecciosa, zoonótica, caracterizada por alteraciones del sistema nervioso, producida por el virus de la rabia, perteneciente al Género Lyssavirus de la Familia Rhabdoviridae. Es habitualmente transmitida por la mordedura de un animal rabioso que elimina…

L’évaluation économique en santé consiste en l’analyse comparative d’alternatives de services en regard à la fois de leurs coûts et de leurs conséquences. Elle est un outil d’aide à la décision. La grande majorité des décisions concernant l’allocation des ressources…

Studies of tropical secondary forest succession face strong limitations due to the slow pace of succession and the time-consuming task of monitoring processes. The occurrence of tree rings in secondary forest trees may help expand our knowledge on succession in…

Knowledge acquisition for systems based on knowledge can be called knowledge engineering, according to Feigenbaum (1980) who used the term to describe the reduction of a wide context of knowledge for a set of facts and rules. The term Knowledge…

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This paper discusses questions about communication of probabilistic knowledge in the light of current theories of agent communication. It will argue that there is a semantic gap between these theories and research areas related to probabilistic knowledge representation and communication,…

After considering the various dimensions of innovation policy, this paper reviews the experiences of the Czech Republic (CR) in implementing such policies in the post-1990 transition period. Particular attention is paid to the contribution of small and medium-sized enterprises (SMEs)…

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.…