Further insights into the interareal connectivity of a cortical network

Over the past years, network science has proven invaluable as a means to better understand many of the processes taking place in the brain. Recently, interareal connectivity data of the macaque cortex was made available with great richness of detail. We explore new aspects of this dataset, such as a correlation between connection weights and cortical hierarchy. We also look at the link-community structure that emerges from the data to uncover the major communication pathways in the network, and moreover investigate its reciprocal connections, showing that they share similar properties

The archaeological and architectonic heritage management of ituiutaba district, Minas Gerias State, Brazil

Actualmente, acciones para la conservación del patrimonio cultural están dentro de las agendas de instituciones como de proyectos de investigación en áreas afines. En el municipio de Ituiutaba, estado de Minas Gerais-Brasil, se están realizando diferentes actividades y estrategias para la preservación de su patrimonio. En este artículo se exponen las diferentes acciones aplicadas para la conservación del patrimonio cultural (específicamente arqueológico y arquitectónico) de Ituituaba a través de varias metodologías: a nivel nacional (“declaratorias”), estatal (Plan de inventario, IEPHA), enmarcadas dentro del Manejo de Recursos Culturales. Asimismo, se presentan algunos conflictos y problemas que fueron resueltos gracias a las metodologías sugeridas. Hasta el momento, fueron registrados 3 bienes arquitectónicos y se relevaron 35 sitios arqueológicos. El relevamiento, registro, investigación y difusión del Patrimonio Cultural de Ituiutaba permitirán conformar el Plan de Manejo de los Recursos Culturales con los que se podrán mejorar y sistematizar medidas de protección y conservación del patrimonio, además de planificar su uso público.Hoje em día, ações para a conservação do patrimônio cultural fazem parte das agendas de instituições quanto das pesquisas em disciplinas afíns. No município de Ituituaba, estado de Minas Gerais -Brasil, atividades para a preservação do patrimônio cultural estão sendo feitas. Em este artigo apresentam-se diferentes estrategias aplicadas para a preservação do patrimônio (especificamente arqueológico e arquitetónico) de Ituiutaba atraves de variadas metodologías: nacional (tombamento), estadual (Plano de inventário IEPHA), no marco do Manejo de Recursos Culturais. Asim messmo, colocam-se alguns problemas e conflitos que foram resolvidos pela aplicação das metodologías sugeridas. Atualmente, foram registrados 3 bens arquitetônicos, e levantaram-se 35 sítios arqueológicos. O levantamento, tombamento, pesquisa e divulgação do Patrimônio Cultural de Ituiutaba permitirão criar um Plano de Manejo de recursos culturais do município capaz de mehorar e sistematizar medidas de proteção e conservação do patrimônio, além de planejar seu uso público.Fil: Perez Winter, Cecilia Verena. Universidad de Buenos Aires. Facultad de Filosofía y Letras. Instituto de Geografia "Romualdo Ardissone"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Scarparo, Cláudio. Fundação Cultural de Ituiutaba. Departamento de Patrimônio Cultural; BrasilFil: Barbosa, Luciano. Museu Antropológico de Ituiutaba ; Brasi

Organizing hidden-web databases by clustering visible web documents

Journal ArticleIn this paper we address the problem of organizing hidden-Web databases. Given a heterogeneous set of Web forms that serve as entry points to hidden-Web databases, our goal is to cluster the forms according to the database domains to which they belong. We propose a new clustering approach that models Web forms as a set of hyperlinked objects and considers visible information in the form context-both within and in the neighborhood of forms-as the basis for similarity comparison. Since the clustering is performed over features that can be automatically extracted, the process is scalable. In addition, because it uses a rich set of metadata, our approach is able to handle a wide range of forms, including content-rich forms that contain multiple attributes, as well as simple keyword-based search interfaces. An experimental evaluation over real Web data shows that our strategy generates high-quality clusters-measured both in terms of entropy and F-measure. This indicates that our approach provides an effective and general solution to the problem of organizing hidden-Web databases

Searching for hidden-web databases

Journal ArticleRecently, there has been increased interest in the retrieval and integration of hidden-Web data with a view to leverage high-quality information available in online databases. Although previous works have addressed many aspects of the actual integration, including matching form schemata and automatically filling out forms, the problem of locating relevant data sources has been largely overlooked. Given the dynamic nature of the Web, where data sources are constantly changing, it is crucial to automatically discover these resources. However, considering the number of documents on the Web (Google already indexes over 8 billion documents), automatically finding tens, hundreds or even thousands of forms that are relevant to the integration task is really like looking for a few needles in a haystack. Besides, since the vocabulary and structure of forms for a given domain are unknown until the forms are actually found, it is hard to define exactly what to look for. We propose a new crawling strategy to automatically locate hidden-Web databases which aims to achieve a balance between the two conflicting requirements of this problem: the need to perform a broad search while at the same time avoiding the need to crawl a large number of irrelevant pages. The proposed strategy does that by focusing the crawl on a given topic; by judiciously choosing links to follow within a topic that are more likely to lead to pages that contain forms; and by employing appropriate stopping criteria. We describe the algorithms underlying this strategy and an experimental evaluation which shows that our approach is both effective and efficient, leading to larger numbers of forms retrieved as a function of the number of pages visited than other crawlers