Resistivity and Induced Polarization Application for Urban Waste Disposal Site Studies

Environmental impacts caused by urban and industrial waste disposal are one of the greatest worldwide concerns, since contaminants may migrate to the local environment and contaminate soils and groundwater. Geophysical investigations have been widely used in environmental investigations of waste disposal contaminated sites, not only imaging the affected area but also evaluating the evolution of contamination plume in a timeframe. Geophysical studies in contaminated sites consist of detecting and mapping the area affected by a contamination source and providing information related to the groundwater flow and depth of saturated zone and bedrock. Particularly, electrical methods, such as resistivity and induced polarization, can identify the presence of contaminant and help to map and delineate the contaminated area and provide information related to contaminant mobilization and attenuation. Therefore, these methods are a powerful tool for noninvasive long-term monitoring of waste disposal contaminated sites. In this chapter, we will show case studies conducted in Brazil, over different types of municipal waste disposal sites

Aplicações hipermídia no desenvolvimento de um ambiente sobre educação ambiental

Este trabalho tem como propósito avaliar um ambiente de apoio a um programa de ensino que tem como foco a educação ambiental, cujo protótipo é chamado Portal Reciclar, desenvolvido segundo a tecnologia de hipertexto. Na modelagem e estruturação do ambiente Reciclar foi utilizado o Hypermedia Model Technique - HMT como modelo para especificação conceitual de aplicações hipertexto. O Portal Reciclar foi avaliado pelos alunos do ensino médio de uma escola pública do estado de Minas Gerais, Brasil, como uma ferramenta adequada ao trabalho didático-pedagógico com o conteúdo por ele veiculado. O conteúdo é de qualidade e apresenta uma variedade de abordagens e recursos que possibilitam ampliar as aprendizagens em Química

Incidência da mastite subclínica em rebanhos leiteiros de agricultores familiares do município de Cruz das Almas, Bahia.

ZOOTEC 2009

O MOVIMENTO OPERÁRIO BRASILEIRO E AS MASSAS POPULARES: MASSAS OBREIRAS/REVOLUCIONÁRIAS OU MASSAS IGNORANTES/INERTES?

O presente artigo procura analisar a influência da “psicologia de massas” sobre o movimento operário brasileiro no período entre 1917 e 1922. Nosso objetivo é demonstrar como os movimentos de esquerda podem ter os seus horizontes limitados quando da incorporação de idéias conservadoras e/ou burguesas

Distributed Online Rollout for Multivehicle Routing in Unmapped Environments

In this work we consider a generalization of the well-known multivehicle routing problem: given a network, a set of agents occupying a subset of its nodes, and a set of tasks, we seek a minimum cost sequence of movements subject to the constraint that each task is visited by some agent at least once. The classical version of this problem assumes a central computational server that observes the entire state of the system perfectly and directs individual agents according to a centralized control scheme. In contrast, we assume that there is no centralized server and that each agent is an individual processor with no a priori knowledge of the underlying network (including task and agent locations). Moreover, our agents possess strictly local communication and sensing capabilities (restricted to a fixed radius around their respective locations), aligning more closely with several real-world multiagent applications. These restrictions introduce many challenges that are overcome through local information sharing and direct coordination between agents. We present a fully distributed, online, and scalable reinforcement learning algorithm for this problem whereby agents self-organize into local clusters and independently apply a multiagent rollout scheme locally to each cluster. We demonstrate empirically via extensive simulations that there exists a critical sensing radius beyond which the distributed rollout algorithm begins to improve over a greedy base policy. This critical sensing radius grows proportionally to the $\log^*$ function of the size of the network, and is, therefore, a small constant for any relevant network. Our decentralized reinforcement learning algorithm achieves approximately a factor of two cost improvement over the base policy for a range of radii bounded from below and above by two and three times the critical sensing radius, respectively

Riverine habitat specificity constrains dispersion in a Neotropical fish (Characidae) along Southern Brazilian drainages

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/111903/1/zsc12106.pd

Similar but different: Revealing the relative roles of species‐traits versus biome properties structuring genetic variation in South American marsh rats

AimWetland habitats, and the ecological restrictions imposed by them, structure patterns of genetic variation in constituent taxa. As such, genetic variation may reflect properties of the specific biomes species inhabit, or shared life history traits among species may result in similar genetic structure. We evaluated these hypotheses jointly by quantifying the similarity of genetic structure in three South American marsh rat species (Holochilus), and test how genetic variation in each species relates to biome‐specific environmental space and historical stability.LocationSouth America.TaxonRodentia.MethodsUsing complementary analyses (Mantel tests, dbRDA, Procrustes, covariance structure of allele frequencies and environmental niche models [ENMs]) with 8,000–32,000 SNPs per species, we quantified the association between genomic variation and geographic and/or environmental differences.ResultsSignificant association between genetic variation and geography was identified for all species. Similarity in the strength of the association suggests connectivity patterns dictated by shared species‐traits predominate at the biome scale. However, substantial amounts of genetic variation are not explained by geography. Focusing on this portion of the variance, we demonstrate a significant quantitative association between genetic variation and the environmental space of a biome, and a qualitative association with varying regional stability. Specifically, historically stable areas estimated from ecological niche models are correlated with local levels of geographic structuring, suggesting that local biome‐specific histories affect population isolation/connectivity.Main conclusionsThese tests show that although species exhibit similar patterns of genetic variation that are consistent with shared natural histories, irrespective of inhabiting different wetland biomes, local biome‐specific properties (i.e. varying environmental conditions and historical stability) contribute to departures from equilibrium patterns of genetic variation expected by isolation by geographic distance. The reflection of these biome‐specific properties in the genetic structure of the marsh rats provides a window into the differences among South American wetlands with evolutionary consequences for their respective constituent assemblages.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/149336/1/jbi13529.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/149336/2/jbi13529_am.pd