O registro do patrimônio cultural imaterial: as práticas do IPHAN e do IEPHA/MG

Patrimônio cultural é tudo aquilo que possui significado social e representa identidades, sendo dividido em duas principais categorias: material e imaterial. O reconhecimento deste último foi construído ao longo de um processo de maturação, ampliação de debates, legislação e ação de órgãos públicos nacionais e internacionais. No Brasil, a Constituição Federal de 1988 incorporou, ao lado do patrimônio material, as diversas formas de expressão e os modos de criar, fazer e viver, como patrimônio imaterial, adotando novos instrumentos de proteção aos bens culturais: o registro e o inventário. Entretanto, somente pelo Decreto 3.551/2000 é que o registro do imaterial foi definitivamente normatizado. Paulatinamente, ocorreu a descentralização da legislação e das políticas públicas, que passaram a ser compartilhadas por União, Estados e Municípios e, nesse sentido, um caso peculiar na gestão do patrimônio cultural ocorreu no estado de Minas Gerais, no qual o Instituto Estadual do Patrimônio Histórico e Artístico de Minas Gerais (IEPHA/MG) assumiu um valioso papel na preservação do patrimônio cultural, onde as ações municipais voltadas ao patrimônio cultural no Estado contam com repasses financeiros, via distribuição do Imposto Sobre Mercadorias e Serviços (ICMS). Esse cenário propiciou um campo para a reflexão e debate sobre o papel e a função desse órgão estadual frente às práticas de identificação, valorização e promoção do patrimônio imaterial de Minas Gerais.

Loss of Outer Retinal Neurons and Circuitry Alterations in the DBA/2J Mouse

Purpose. The DBA/2J mouse line develops essential iris atrophy, pigment dispersion, and glaucomatous age-related changes, including an increase of IOP, optic nerve atrophy, and retinal ganglion cell (RGC) death. The aim of this study was to evaluate possible morphological changes in the outer retina of the DBA/2J mouse concomitant with disease progression and aging, based on the reduction of both the a- and b-waves and photopic flicker ERGs in this mouse line. Methods. Vertically sectioned DBA/2J mice retinas were evaluated at 3, 8, and 16 months of age using photoreceptor, horizontal, and bipolar cell markers. Sixteen-month-old C57BL/6 mice retinas were used as controls. Results. The DBA/2J mice had outer retinal degeneration at all ages, with the most severe degeneration in the oldest retinas. At 3 months of age, the number of photoreceptor cells and the thickness of the OPL were reduced. In addition, there was a loss of horizontal and ON-bipolar cell processes. At 8 months of age, RGC degeneration occurred in patches, and in the outer retina overlying these patches, cone morphology was impaired with a reduction in size as well as loss of outer segments and growth of horizontal and bipolar cell processes into the outer nuclear layer. At 16 months of age, connectivity between photoreceptors and horizontal and bipolar cell processes overlying these patches was lost. Conclusions. Retinal degeneration in DBA/2J mice includes photoreceptor death, loss of bipolar and horizontal cell processes, and loss of synaptic contacts in an aging-dependent manner.

Using IR-n for information retrieval of Genomics Track

Nowadays there is a big amount of biomedical literature which uses complex nouns and acronyms of biological entities thus complicating the task of retrieval specific information. The Genomics Track works for this goal and this paper describes the approach we used to take part of this track of TREC 2007. As this is the first time we participate in this track, we configurated a new system consisting of the following diferenciated parts: preprocessing, passage generation, document retrieval and passage (with the answer) extraction. We want to call special attention to the textual retrieval system used, which was developed by the University of Alicante. Adapting the resources for the propouse, our system has obtained precision results over the mean and median average of the 66 official runs for the Document, Aspect and Passage2 MAP; and in the case of Passage MAP we get nearly the median and mean value. We want to emphasize we have obtained these results without incorporating specific information about the domain of the track. For the future, we would like to further develop our system in this direction.