Challenges and new horizons for the strengthening of family farming; Embrapa?s studies benefit family farming and Brazilian traditional populations; Basic sanitation: a solution to improve quality of life in the fields; Technology for sustainable agricultural and livestock system; Adoption of…

Fatores climáticos, como as altas temperaturas ambientais no semiárido do Nordeste, podem influenciar a atividade reprodutiva do macho caprino. Sabe-se que nessa espécie, a sazonalidade reprodutiva é uma característica importante na limitação da produtividade. Dentre as raças caprinas, a Moxotó…

As organizações em rede compreendem um conjunto de organizações cujas atividades visam reduzir custos, facilitar a coordenação e aumentar a flexibilidade. Dentro desse ambiente, o espaço de criação de conhecimento ("ba") proporciona às pequenas e médias empresas um ambiente favorável…

Asian soybean rust caused by Phakoprsora pachyrhizi is one of the most important diseases for soybean cultivation. The disease causes yield loss as high as 80%. Until now, fungicide applications were most reliable control measure. However, farmers often lose timing…

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.…

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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…

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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…