Challenges of programming apprentice

The present article describes the challenges programming apprentices face and identifies the elements and processes that set them apart from experienced programmers. And also explains why a conventional programming languages teaching approach fails to map the programming mental model. The purpose of this discussion is to benefit from ideas and cognitive philosophies to be embedded in programming learning tools. Cognitive components are modeled as elements to be handled by the apprentices in tutoring systems while performing a programming task. In this process a mental level solution (the mental model of the program) and an implementation level solution (the program) are created. The mapping between these representations is a path followed by the student explicitly in this approach. © 2011 IEEE.

A novel neural model to electrical load forecasting in transformers

The paper describes a novel neural model to electrical load forecasting in transformers. The network acts as identifier of structural features to forecast process. So that output parameters can be estimated and generalized from an input parameter set. The model was trained and assessed through load data extracted from a Brazilian Electric Utility taking into account time, current, tension, active power in the three phases of the system. The results obtained in the simulations show that the developed technique can be used as an alternative tool to become more appropriate for planning of electric power systems.

A new transmission model in cognitive radio based on cyclic generalized polynomial codes for bandwidth reduction

The frequency spectrums are inefficiently utilized and cognitive radio has been proposed for full utilization of these spectrums. The central idea of cognitive radio is to allow the secondary user to use the spectrum concurrently with the primary user with the compulsion of minimum interference. However, designing a model with minimum interference is a challenging task. In this paper, a transmission model based on cyclic generalized polynomial codes discussed in [2] and [15], is proposed for the improvement in utilization of spectrum. The proposed model assures a non interference data transmission of the primary and secondary users. Furthermore, analytical results are presented to show that the proposed model utilizes spectrum more efficiently as compared to traditional models.

Educação em engenharia: estudo de metodologias pedagógicas e desenvolvimento de um software aplicado ao ensino de estabilidade de sistemas de energia elétrica

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Astrocytes and human cognition: Modeling information integration and modulation of neuronal activity

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Swarm control designs applied to a non-ideal load transportation system

In this paper, a load transport system in platforms is considered. It is a transport device and is modelled as an inverted pendulum built on a car driven by a DC motor. The motion equations were obtained by Lagrange's equations. The mathematical model considers the interaction between the DC motor and the dynamic system. The dynamic system was analysed and a Swarm Control Design was developed to stabilize the model of this load transport system. ©2010 IEEE.

Expressões formulaicas e collocations em inglês: uma proposta de descrição por meio de esquemas de imagem e chunking

Pós-graduação em Linguística e Língua Portuguesa - FCLAR

Uma proposta de sequência didática para o ensino de Programação Linear no Ensino Médio

Pós-graduação em Matemática em Rede Nacional - IBILCE

Adaptive walking in alzheimer's disease

The aim of this study is to analyze dual-task effects on free and adaptive gait in Alzheimer's disease (AD) patients. Nineteen elders with AD participated in the study. A veteran neuropsychiatrist established the degree of AD in the sample. To determine dual-task effects on free and adaptive gait, patients performed five trials for each experimental condition: free and adaptive gait with and without a dual-task (regressive countdown). Spatial and temporal parameters were collected through an optoelectronic tridimensional system. The central stride was analyzed in free gait, and the steps immediately before (approaching phase) and during the obstacle crossing were analyzed in adaptive gait. Results indicated that AD patients walked more slowly during adaptive gait and free gait, using conservative strategies when confronted either with an obstacle or a secondary task. Furthermore, patients sought for stability to perform the tasks, particularly for adaptive gait with dual task, who used anticipatory and online adjustments to perform the task. Therefore, the increase of task complexity enhances cognitive load and risk of falls for AD patients. © 2012 Diego Orcioli-Silva et al.

Avaliação de cargas difusas e simulação de autodepuração no Córrego da Água Branca, Itirapina (SP)

According to CONAMA Resolution No. 357, the Água Branca Creek is framed in Class 2 and along its course the characteristics should be consistent with this class. Evaluation of diffuse loads and simulation of auto-purification in the Água Branca Creek allowed evaluating the alterations in the quality of the freshwater. The major contribution of diffuse loads in the basin of the White Water Creek is related to agriculture. The QUAL2K modeling identified the autopurification zones at Água Branca Creek and indicated the necessity BDO removal of 75%.

The Development of a Universal In Silico Predictor of Protein-Protein Interactions

Protein-protein interactions (PPIs) are essential for understanding the function of biological systems and have been characterized using a vast array of experimental techniques. These techniques detect only a small proportion of all PPIs and are labor intensive and time consuming. Therefore, the development of computational methods capable of predicting PPIs accelerates the pace of discovery of new interactions. This paper reports a machine learning-based prediction model, the Universal In Silico Predictor of Protein-Protein Interactions (UNISPPI), which is a decision tree model that can reliably predict PPIs for all species (including proteins from parasite-host associations) using only 20 combinations of amino acids frequencies from interacting and non-interacting proteins as learning features. UNISPPI was able to correctly classify 79.4% and 72.6% of experimentally supported interactions and non-interacting protein pairs, respectively, from an independent test set. Moreover, UNISPPI suggests that the frequencies of the amino acids asparagine, cysteine and isoleucine are important features for distinguishing between interacting and non-interacting protein pairs. We envisage that UNISPPI can be a useful tool for prioritizing interactions for experimental validation. © 2013 Valente et al.

Influência do square stepping exercise nos componentes da capacidade funcional e funções cognitivas de idosos

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Formação de professores de educação física e avaliação: investigando a reestruturação curricular dos cursos de licenciatura

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Características do apoio social e capacidade funcional de idosos assistidos em unidades de atenção básica no municipio de Lins: estudo epidemiológico para implantação de serviço

Pós-graduação em Enfermagem (mestrado profissional) - FMB

João Olha-para-o-ar e Felipe Irrequieto: distúrbios da atenção e hiperatividade

A estruturação dos processos cognitivos, a partir das relações do sujeito com o meio, constitui a base para a aprendizagem. Dentre os diversos processos cognitivos, a atenção representa um mecanismo imprescindível para a compreensão e incorporação de novos conteúdos. Distúrbios do processo atencional, além de comprometer a aprendizagem, estendem-se para comportamentos de hiperatividade. Os distúrbios da atenção e a hiperatividade - fenômenos intimamente correlacionados - contribuem para que o sujeito tenha dificuldades significativas em outras funções cognitivas, como linguagem, cálculo, capacidade de reconhecimento e de planejamento, habilidade de autocorreção dos comportamentos, etc. O desempenho pedagógico por parte do professor, integrado à ação interdisciplinar de outros profissionais habilitados e de familiares, constitui uma estratégia promissora na abordagem e orientação da criança com distúrbios da atenção e hiperatividade.