Análise comparativa do meio físico e socioeconômico de três municípios com parques florestais: Araponga, Caparaó e São Roque de Minas - MG.

O meio físico, a localização geográfica, e a história de ocupação de um município contribuem na sua socioeconomia. Do mesmo modo, limitações físicas naturais resultam em pouca alteração antrópica, protegendo áreas que podem vir a ser transformadas em unidades de conservação, sob leis de proteção ambiental. Estas áreas, como por exemplo, parques florestais, apresentam potencial turístico, como uma alternativa socioeconômica. Este trabalho é uma análise comparativa de informações municipais socioeconômicas, históricas e do meio físico, com o objetivo de investigar uma possível influência de parques florestais na socioeconomia de municípios do Estado de Minas Gerais que contém grande parte de suas áreas com topografia acidentada e altitude elevada. Foram selecionados os municípios de Araponga, com o Parque Estadual da Serra do Brigadeiro, recém criado em 1996; Caparaó, com o Parque Nacional de Caparaó, criado em 1962; e São Roque de Minas, com o Parque Nacional da Serra da Canastra, criado em 1972. São Roque de Minas e Caparaó são Municípios tradicionalmente incluídos na rede turística, o que pode vir a ocorrer com Araponga futuramente. Os resultados mostram que os municípios de Araponga e Caparaó apresentam restrição topográfica, enquanto que as maiores limitações de São Roque são devidas ao solo. Historicamente, a formação de Araponga é semelhante a de Caparaó, em ocupação. Com relação a localização geográfica, Araponga está melhor situada que São Roque de Minas em distância dos grandes centros, mas as condições de acesso são similares. Considerando a socioeconomia, Araponga tem maiores índices de analfabetismo, evasão populacional, menor ICM, menores salários, e pior distribuição de renda. Enfocando o turismo em Caparaó e São Roque de Minas, as taxas de visitação atingiram 28.613 pessoas para o ano de 1999 em Caparaó, correspondendo a mais de 400% da população, e 3.000 pessoas/ano em São Roque de Minas (IBAMA, 1993), que corresponde a 52% da população. Embora não conclusivo, indica-se, pelas informações levantadas, que as piores condições socioeconômicas de Araponga em relação a Caparaó se devam à situação geográfica e a contribuição turística na economia de Caparaó. Já São Roque de Minas tem melhor desenvolvimento que Araponga e Caparaó devido à origem histórica e maior porção de terras menos acidentadas, refletindo na economia pecuária. A contribuição pelo turismo neste município é ainda modesta.bitstream/CNPS-2010/14880/1/doc-71-municipios-mg.pd

Manejo de solo em várzea do Rio Guamá com tração animal e microtrator.

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Efficiency of low versus high airline pressure in stunning cattle with a pneumatically powered penetrating captive bolt gun

The efficiency of stunning cattle was assessed in 443 animals (304 pure Zebu and 139 crossbred cattle), being mainly mature bulls and cows. Cattle were stunned using a Jarvis pneumatically powered penetrating captive bolt gun operating with low (160–175 psi, N = 82) and high (190 psi, N = 363) airline pressure, which was within the manufactures specifications. Signs of brain function and the position of the shots on the heads were recorded after stunning. Velocity of the captive bolt and its physical parameters were calculated. Cattle shot with low pressures showed more rhythmic respiration (27 vs. 8%, P < 0.001), less tongue protrusion (4 vs. 12%, P = 0.03) and less masseter relaxation (22 vs. 48%, P < 0.001). There was an increased frequency of shots in the ideal position when cattle were shot with the low compared to high airline pressures (15.3 vs. 3.1%). Bolt velocity and its physical parameters were significantly (P < 0.01) higher when using high pressure. Airline pressures below 190 psi are inappropriate when shooting adult Zebu beef cattle with pneumatically powered penetrating captive bolt guns

Hierarchical Spatial Organization of Geographical Networks

In this work we propose the use of a hirarchical extension of the polygonality index as a means to characterize and model geographical networks: each node is associated with the spatial position of the nodes, while the edges of the network are defined by progressive connectivity adjacencies. Through the analysis of such networks, while relating its topological and geometrical properties, it is possible to obtain important indications about the development dynamics of the networks under analysis. The potential of the methodology is illustrated with respect to synthetic geographical networks.Comment: 3 page, 3 figures. A wokring manuscript: suggestions welcome

Characterizing neuromorphologic alterations with additive shape functionals

The complexity of a neuronal cell shape is known to be related to its function. Specifically, among other indicators, a decreased complexity in the dendritic trees of cortical pyramidal neurons has been associated with mental retardation. In this paper we develop a procedure to address the characterization of morphological changes induced in cultured neurons by over-expressing a gene involved in mental retardation. Measures associated with the multiscale connectivity, an additive image functional, are found to give a reasonable separation criterion between two categories of cells. One category consists of a control group and two transfected groups of neurons, and the other, a class of cat ganglionary cells. The reported framework also identified a trend towards lower complexity in one of the transfected groups. Such results establish the suggested measures as an effective descriptors of cell shape

What are the Best Hierarchical Descriptors for Complex Networks?

This work reviews several hierarchical measurements of the topology of complex networks and then applies feature selection concepts and methods in order to quantify the relative importance of each measurement with respect to the discrimination between four representative theoretical network models, namely Erd\"{o}s-R\'enyi, Barab\'asi-Albert, Watts-Strogatz as well as a geographical type of network. The obtained results confirmed that the four models can be well-separated by using a combination of measurements. In addition, the relative contribution of each considered feature for the overall discrimination of the models was quantified in terms of the respective weights in the canonical projection into two dimensions, with the traditional clustering coefficient, hierarchical clustering coefficient and neighborhood clustering coefficient resulting particularly effective. Interestingly, the average shortest path length and hierarchical node degrees contributed little for the separation of the four network models.Comment: 9 pages, 4 figure

Secagem de lenha de Eucalyptus dunnii ao ar livre para energia.

Resumo

Fast Community Identification by Hierarchical Growth

A new method for community identification is proposed which is founded on the analysis of successive neighborhoods, reached through hierarchical growth from a starting vertex, and on the definition of communities as a subgraph whose number of inner connections is larger than outer connections. In order to determine the precision and speed of the method, it is compared with one of the most popular community identification approaches, namely Girvan and Newman's algorithm. Although the hierarchical growth method is not as precise as Girvan and Newman's method, it is potentially faster than most community finding algorithms.Comment: 6 pages, 5 figure