2013

Neste trabalho discutimos percepções e práticas de moradores e
produtores, e expressões destas, e também percepções sobre as intervenções de
organizações públicas, civis e de empresas agropecuárias e ambientais, sobre
usos e cuidados com os recursos naturais, em especial a…

At present, there is a global driving towards the concept of universities as protagonists of production of knowledge and generation of technological innovation for the society. To meet that new reality, universities have been challenged to change traditional structures and…

The bivalve Limnoperna fortunei (Dunker, 1857), also called golden mussel, is native to Asia but becoming dispersed around the world. The golden mussel resembles the invasive dreissenid bivalves in many respects, and although much less studied it evidently has broader…

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.…

Descripción completa.

The appearance and continuous growth of virtual communities on the web imposes the challenge of coping with the large amount of information and knowledge these communities produce. The Semantic Web with its set of standards and technologies provides the basic…

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…