This work presents the results of research on the relationship between the space displacement of the milk production and the change of seasonal variation of the acquisition and industrialization of the product in Brazil. The study showed that the knowledge…

Studies on the impact of Eucalyptus spp. on Brazilian soils have focused on soil chemical properties and isolating interesting microbial organisms. Few studies have focused on microbial diversity and ecology in Brazil due to limited coverage of traditional cultivation and…

Descripción completa.

Descripción completa.

The spatial variation in the composition of the tree flora of some Atlantic forest areas distributed in the East Atlantic basins, Southeastern and Southern Brazil, extended to Paraguay and Argentina, was investigated under four main aspects: (1) to evaluate the…

Resumo: Esta pesquisa analisa o fluxo de informações da Embrapa Meio Ambiente, sob a ótica da gestão do conhecimento. Trata-se de um estudo de caso de natureza qualitativa. Tem por objetivo discutir o processo de comunicação interna e externa, na…

Research on self-regulated learning (SRL) in hypermedia-learning environments is a growing area of interest. One major issue is the role of prior knowledge, which can influence how students interact with hypermedia-learning systems in terms of their use of SRL strategies.…

Background: Dance is a modality of choice in rehabilitation, because it combines the benefits of aerobic exercise with an enjoyable social activity. Despite the scientific evidence supporting the use of dance in rehabilitation, this treatment modality is rarely used in…

A large number of deaf/hard-of-hearing (hh) students never attain grade-appropriate reading comprehension levels. Studies, primarily with North American and European countries, have established that the median reading comprehension level achieved at graduation is grade 4. The present study sought to…

Reinforcement learning covers a broad category of control problems in which the learning agent interacts with the environment in order to learn to maximize the collected utility. Such exploratory interaction is often costly, encouraging sample-efficient algorithms to be used in…