This document describes a general structure for the implementation of virtual tools for remote calculation through Internet. Two virtual tools for mathematical analysis
(Analys) and simulation of dynamic systems (SimWeb), supported by the Matlab c, are described. These virtual tools,…

O tema do trabalho é o processo de inovação que ocorre a partir de conhecimentos científicos produzidos na universidade. O objetivo central foi investigar a história de dois processos de inovação e desenvolver uma heurística parcial que sirva de referência…

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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OBJECTIVE:
To determine how often clinical research from doctoral degree programmes is unpublished and to see if one can characterise differences between those researchers who do or do not publish their work or between the institutions where they studied.
DESIGN:

In this thesis, we investigated a sequential decision making problem. We tested
different policies for online portfolio optimization: for a given number of assets and
a time horizon, the weights on assets are rebalanced at every time step according to

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…