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Scientific Workflows are abstractions used to model in silico scientific experiments. Cloud environments are still incipient in collecting and recording prospective and retrospective provenance. This paper presents an approach to support collecting metadata provenance of in silico scientific experiments executed in public clouds. The strategy was implemented as a distributed and modular architecture named Matriohska. This paper also presents a provenance data model compatible with PROV specification. We also show preliminary results that describe how provenance metadata was captured from the components running in the cloud.

Understanding the core function of the brain is one the major challenges of our times. In the areas of neuroscience and education, several new studies try to correlate the learning difficulties faced by children and youth with behavioral and social problems. This work aims to present the challenges and opportunities of computational neuroscience research, with the aim of detecting people with learning disorders. We present a line of investigation based on the key areas: neuroscience, cognitive sciences and computer science, which considers young people between nine and eighteen years of age, with or without a learning disorder. The adoption of neural networks reveals consistency in dealing with pattern recognition problems and they are shown to be effective for early detection in patients with these disorders. We argue that computational neuroscience can be used for identifying and analyzing young Brazilian people with several cognitive disorders.

Page 1. Revista Tecer - Belo Horizonte – vol. 4, nº 6, maio 2011 41 Abordagem tecnológica para rastreio de pessoas com dislexia Raimundo José Macário Costa Sérgio Manuel Serra da Cruz Jorge Zavaleta Luís Alfredo Vidal Filho Renata Mousinho ...

Understanding the core function of the brain is one the major challenges of our times. In the areas of neuroscience and education, several new studies try to correlate the learning difficulties faced by children and youth with behavioral and social problems. This work aims to present the challenges and opportunities of computational neuroscience research, with the aim of detecting people with learning disorders. We present a line of investigation based on the key areas: neuroscience, cognitive sciences and computer science, which considers young people between nine and eighteen years of age, with or without a learning disorder. The adoption of neural networks reveals consistency in dealing with pattern recognition problems and they are shown to be effective for early detection in patients with these disorders. We argue that computational neuroscience can be used for identifying and analyzing young Brazilian people with several cognitive disorders.

Jogos Inteligentes são Educacionais? Leila ANDRADE1 e 2, Jorge ZAVALETA2, Francine VAZ2, Cabral LIMA2, Catia ARAUJO2, Adriana SOARES2 ... São Paulo: Pioneira, 1979. [Russel e Norvig, 1995] RUSSELL, Stuart; NORVIG, Peter. ... Editora Martins Fontes. São Paulo, 2000. ...

... 93-126. [4] JV Dempsey, LL Haynes, BA Lucassen, and MS Casey, “Forty simple computer games and what they could mean to educators”, Simulations & Gaming, Vol. 33 No. ... 71. [8] Manual dePsicologia Aplicada, WISC – escala de inteligência Wechsler para crianças. ...