MARISA-MDD: uma abordagem para transformações entre modelos orientados a aspectos: dos requisitos ao projeto detalhado

Aspect Oriented approaches associated to different activities of the software development process are, in general, independent and their models and artifacts are not aligned and inserted in a coherent process. In the model driven development, the various models and the correspondence between them are rigorously specified. With the integration of aspect oriented software development (DSOA) and model driven development (MDD) it is possible to automatically propagate models from one activity to another, avoiding the loss of information and important decisions established in each activity. This work presents MARISA-MDD, a strategy based on models that integrate aspect-oriented requirements, architecture and detailed design, using the languages AOV-graph, AspectualACME and aSideML, respectively. MARISA-MDD defines, for each activity, representative models (and corresponding metamodels) and a number of transformations between the models of each language. These transformations have been specified and implemented in ATL (Atlas Definition Language), in the Eclipse environment. MARISA-MDD allows the automatic propagation between AOV-graph, AspectualACME, and aSideML models. To validate the proposed approach two case studies, the Health Watcher and the Mobile Media have been used in the MARISA-MDD environment for the automatic generation of AspectualACME and aSideML models, from the AOV-graph model

Graph analysis of verbal fluency test discriminate between patients with Alzheimer’s disease, Mild Cognitive Impairment and normal elderly controls

Verbal fluency is the ability to produce a satisfying sequence of spoken words during a given time interval. The core of verbal fluency lies in the capacity to manage the executive aspects of language. The standard scores of the semantic verbal fluency test are broadly used in the neuropsychological assessment of the elderly, and different analytical methods are likely to extract even more information from the data generated in this test. Graph theory, a mathematical approach to analyze relations between items, represents a promising tool to understand a variety of neuropsychological states. This study reports a graph analysis of data generated by the semantic verbal fluency test by cognitively healthy elderly (NC), patients with Mild Cognitive Impairment – subtypes amnestic(aMCI) and amnestic multiple domain (a+mdMCI) - and patients with Alzheimer’s disease (AD). Sequences of words were represented as a speech graph in which every word corresponded to a node and temporal links between words were represented by directed edges. To characterize the structure of the data we calculated 13 speech graph attributes (SGAs). The individuals were compared when divided in three (NC – MCI – AD) and four (NC – aMCI – a+mdMCI – AD) groups. When the three groups were compared, significant differences were found in the standard measure of correct words produced, and three SGA: diameter, average shortest path, and network density. SGA sorted the elderly groups with good specificity and sensitivity. When the four groups were compared, the groups differed significantly in network density, except between the two MCI subtypes and NC and aMCI. The diameter of the network and the average shortest path were significantly different between the NC and AD, and between aMCI and AD. SGA sorted the elderly in their groups with good specificity and sensitivity, performing better than the standard score of the task. These findings provide support for a new methodological frame to assess the strength of semantic memory through the verbal fluency task, with potential to amplify the predictive power of this test. Graph analysis is likely to become clinically relevant in neurology and psychiatry, and may be particularly useful for the differential diagnosis of the elderly.

Avaliação da interação universidade - empresas - governo no desenvolvimento de projetos inovadores no RN por micro e pequenas empresas

Knowledge and innovation were seen as major forces, both for survival, as the acquisition of competitive advantages in the Brazilian economy, as well as adding value to the product as a market differentiator. The Triple Helix model is directed toward the knowledge-based economy. Over the past six years, the Federal Government through the Financier of Studies and Projects ( FINEP ) invested in technological innovation projects, economic subsidies, about U.S. $ 1 billion supporting more than 800 projects with these resources. According to the MCTI , the Northeast, over the years 2000 to 2010 increased spending on Science and Technology (considering the activities of research and development more scientific and related activities) of the State Government in relation to its total revenue In 2000, 0.51% of total revenues were invested in Science & Technology, while in 2010 this figure increased to 1.31%. Among the nine Northeast states, Paraíba is highlighted. In 2000, 0.33% of its total revenues were directed to innovation, reaching 2.04% in 2010, the largest increase in the region while the RN invested 0.24% in 2000 and in 2010 reached the level of 1.42 %. According to IBGE, in the period 2000-2011, the micro and small enterprises surpassed the barrier of 6 million establishments. In 2000, there were 4.2 million establishments while in 2011 were 6.3 million active establishments. Therefore, throughout the period, there was a creation of approximately 2.1 million new establishments. Between 2000 and 2011, micro and small businesses have created 7.0 million formal jobs, 8.6 million jobs in 2000 to 15.6 million in 2011. This scenario shows the importance of this study in relation to the investment of governments in RD & I in micro and small enterprises. This study aims to analyze the interaction Universities - Business - Government in the development of innovation in micro and small companies in Rio Grande do Norte participants of the edicts of Inova FAPERN. We chose to adopt as a research method case study concerning the procedure of the research, exploratory, descriptive, and on documents with engineers and researchers of innovation projects approved by PAPPE Subsidy (Inova -RN I, II and III). Data collection was done through the report made by FAPERN entitled: " Evaluation of companies financed and supported by the Grant Program for Technological Innovation for Micro and Small Enterprises RN - INOVA -RN " (2010) and a questionnaire with 40 closed questions and 1 opened to 30 affirmative composed based on a 5-point Likert scale. The analysis of data was qualitative and quantitative. The study provided to identify the importance and barriers arising from the relation between Government Enterprise (micro and small) and University as essential to the economic development of the region. It was also identified that, in the innovation projects, 70% of the goods or services originating from research were to market these, 50% resulted in a patent for the company and 80% publications of scientific articles