Modelo de Alocação de Mamógrafos Móveis: Um estudo para a Região Serrana do Estado do Rio de Janeiro.

O Estado do Rio de Janeiro possui indicadores de produção muito baixos na realização de exames de câncer de mama. Na tentativa de melhorar o acesso aos exames, principalmente em regiões com baixa densidade populacional onde a aquisição de mamógrafos não é custo-efetiva, o uso da mamografia móvel é uma alternativa para aumentar a execução de exames de rastreamento de câncer de mama. O objetivo desta pesquisa é a construção de um modelo computacional para definir a alocação de mamógrafos móveis. O Modelo considera as variáveis associadas com os custos e prazos, indicando quando, onde e por quanto tempo, as unidades móveis de mamografia devem permanecer em cada cidade. O modelo foi construído no software de modelagem e simulação Anylogic, usando técnicas de modelagem baseada em agentes. O principal resultado é determinar o percurso de cada veículo disponível, para oferecer a cobertura desejada em cada cidade. Todas as entradas são parametrizadas, permitindo simular diferentes cenários e fornecer informações importantes para o processo de tomada de decisão. O horizonte de tempo, número de mamógrafos (fixos e móveis), a cobertura desejada da população, a capacidade de produção de cada dispositivo, a adesão da população urbana e rural, entre outras variáveis, foram consideradas no modelo. Os dados da Região Serrana do Rio de Janeiro foram usados nas simulações, onde menos de metade das cidades possuem mamógrafos fixos. Com o modelo proposto foi possível determinar a distribuição de cada dispositivo físico e o número ótimo de unidades móveis de mamografia para oferecer cobertura à totalidade da população no ciclo de dois anos. O número de mamógrafos para oferecer cobertura de toda a população da região poderia ser reduzido pela metade com o modelo de alocação proposto neste trabalho. A utilização de mamografia móvel, em conjunto com a rede existente de mamógrafos fixos, procura maximizar a disponibilização de exames de testes de diagnóstico de câncer de mama no estado do Rio de Janeiro. O desenvolvimento de um modelo de roteamento que aperfeiçoa a cobertura de rastreio do câncer de mama é apresentado como um complemento importante na tentativa de melhorar o acesso à população residente em áreas urbanas e rurais dos municípios.

Report of 1996 survey of Trout Beck with particular reference to spawning gravel quality and invertebrates as a food source for salmonids

This is the Report of 1996 survey of Trout Beck with particular reference to spawning gravel quality and invertebrates as a food source for salmonids produced by the Environment Agency North West. Whilst the main River Derwent is quite a high profile salmon fishery, Trout Beck is not a significant fishery in its own right, but serves to maintain the genetic integrity of the wild populations of trout and salmon in the catchment by providing a unique habitat. This survey addressed the invertebrate food availability, and additionally looked at the substrate to try to determine whether the bed type might actually be unsuitable for spawning, especially in view of the previously mentioned silt inputs.

Report on fisheries invertebrate survey of the Groove Beck,Thornsgill Beck,Troutbeck system

This is the Report on fisheries invertebrate survey of the Groove Beck, Thornsgill Beck and Troutbeck system produced by the Environment Agency North West in 1997. In 1996 the National Rivers Authority (NRA) report on the 1992 strategic stock assessment for the Upper Derwent catchment Jane Atkins recommended that should subsequent electrofishing show continued low densities, a survey of the invertebrate fauna should be undertaken to assess the food availability for salmonids, in order that lack of food could be ruled out as a contributory factor in their poor breeding success. Additionally the survey looked at the substrate to try to determine whether the bed type might actually be unsuitable for spawning, especially in view of the previously mentioned silt inputs.

River Yealm SAP Consultation

This is the River Yealm Salmon Action Plan Consultation document produced by the Environment Agency in 2003. The report pays attention on the external consultation of the River Yealm Salmon Action Plan (SAP). This strategy represents an entirely new approach to salmon management within the UK and introduces the concept of river-specific salmon spawning targets as a salmon management tool. The River Yealm Salmon Action Plan follows the format of those completed for the rivers Tamar, Lynher, Tavy, Camel, Fowey and Plym. It is the final one of seven action plans that will be produced for salmon rivers managed by Cornwall Area. The River Yealm SAP contains a description of the river catchment and highlights particular features that are relevant to the salmon population and the associated fishery. Notably there are potable water abstractions in the headwaters, workings for china clay on the main tributary, two inert waste landfill sites and an aggregate quarry adjacent to the main river and inputs from several Sewage Treatment Works (STW) and two industrial estates. The main River Yealm has been designated as River Ecosystem Class 1 for its water quality objectives. This is the highest water quality target set for rivers.

Utilização de imagem do sensor Aster para discriminação espectral de rochas carbonáticas aflorantes na região Noroeste do Estado do Rio de Janeiro

Este trabalho teve como objetivo geral avaliar o potencial das imagens do sensor ASTER, utilizando a região do infravermelho de ondas curtas (SWIR), para discriminação espectral de rochas carbonáticas aflorantes na região Noroeste do Estado do Rio de Janeiro, complementando produtos existentes de mapeamento geológico. As rochas carbonáticas servem de matéria-prima para produção de cimento, que atualmente apresenta forte demanda dado o crescimento de obras civis devido à expansão da infraestrutura do Estado do Rio de Janeiro. Este crescimento no consumo oferece desafios às companhias produtoras, tornando-se de vital importância a identificação de novas áreas para exploração de insumos para a indústria civil. Neste sentido, o carbonato tem sofrido grande pressão com relação a sua produção pois é a principal matéria-prima utilizada na fabricação do cimento. Imagens do sensor Aster vem sendo utilizadas na área da geologia com êxito, discriminando litologias e minerais como quartzo, óxido de ferro e calcita. Na região do intervalo de ondas entre 2,235-2,285 μm e 2,295-2,365 μm , as bandas 7 e 8 do sensor ASTER na região do SWIR, mostram-se adequadas para a identificação de minerais de calcita e dolomita. Como metodologia, foram aplicadas as técnicas de razões de bandas para separação de calcários e dolomitos e para a classificação espectral, foi utilizada a técnica SAM. Tornou-se como referência para a classificação espectral amostras de áreas de rochas carbonáticas aflorantes e espectros da biblioteca espectral da USGS. As classificações espectrais obtiveram resultados significativos na discriminação espectral das áreas carbonáticas, no entanto as técnicas de razões de bandas não obtiveram resultados suficientes para a discriminação de calcários e dolomitos. Para trabalhos futuros sugere-se a realização de trabalho de campo para a coleta de espectros, através da espectrorradiometria dos afloramentos dos carbonatos.

Gestão de saúde, meio ambiente, segurança e responsabilidade social em micro e pequenas empresas de alimentos no município do Rio de Janeiro

O setor industrial de alimentos é um setor muito importante para a economia brasileira, segundo dados da Associação Brasileira das Indústrias da Alimentação (ABIA). Os diferentes produtos gerados pelas indústrias alimentícias são atribuídos a várias setores, como por exemplo, o setor de Food Service, o qual utiliza os insumos provenientes das indústrias de alimentos e fornecem alimentos prontos para os consumidores que buscam refeições fora dos seus lares. Devido à grande expansão desse setor, a exigência da sociedade por um sistema de Gestão em Saúde, Meio Ambiente, Segurança e Responsabilidade Social (SMS/RS) é grande, pois há preocupações ambientais, como o desperdício e a geração de resíduos, preocupações com as condições de trabalho dos funcionários, associados aos riscos e perigos no ambiente de trabalho e preocupações com as exigências legais, como o cumprimento de leis e normas na produção de alimentos, a fim de reduzir os riscos à saúde por doenças transmitidas por alimentos, com a segurança do mesmo. O objetivo geral desse estudo é avaliar as questões relacionadas à saúde, segurança, meio ambiente, sustentabilidade e responsabilidade socioambiental, de forma a verificar o nível de comprometimento dos serviços de alimentação micro e de pequeno porte no município do Rio de janeiro, com destaque para o atendimento ao serviço da Agência Nacional de Vigilância Sanitária (ANVISA), à legislação ambiental e de saúde e segurança no trabalho. Para atingir tal objetivo, a metodologia foi dividida em: pesquisa bibliográfica, elaboração de lista de verificação, questionário direcionado para os responsáveis e funcionários dos estabelecimentos, de questionário SMS/RS e visitas técnicas. Os resultados obtidos mostraram que, numa avaliação global, os trinta serviços de alimentação atenderam a todos os itens avaliados com relação à legislação sanitária e 88% no que tange aos aspectos de saúde, meio ambiente, segurança e responsabilidade social. Apesar de a legislação em saúde e segurança, meio ambiente e responsabilidade social ser uma prática comum nas micro e pequenas empresas fornecedoras de alimentos, em nenhuma delas foi implantado um sistema de Gestão baseado nessas questões, devido a falta de conhecimento por parte dos proprietários dos estabelecimentos

Modeling the Potential Spread of the Recently Identified Non-Native Panther Grouper (Chromileptes altivelis)in the Atlantic Using a Cellular Automaton Approach

The Indo-pacific panther grouper (Chromileptes altiveli) is a predatory fish species and popular imported aquarium fish in the United States which has been recently documented residing in western Atlantic waters. To date, the most successful marine invasive species in the Atlantic is the lionfish (Pterois volitans/miles), which, as for the panther grouper, is assumed to have been introduced to the wild through aquarium releases. However, unlike lionfish, the panther grouper is not yet thought to have an established breeding population in the Atlantic. Using a proven modeling technique developed to track the lionfish invasion, presented is the first known estimation of the potential spread of panther grouper in the Atlantic. The employed cellular automaton-based computer model examines the life history of the subject species including fecundity, mortality, and reproductive potential and combines this with habitat preferences and physical oceanic parameters to forecast the distribution and periodicity of spread of this potential new invasive species. Simulations were examined for origination points within one degree of capture locations of panther grouper from the United States Geological Survey Nonindigenous Aquatic Species Database to eliminate introduction location bias, and two detailed case studies were scrutinized. The model indicates three primary locations where settlement is likely given the inputs and limits of the model; Jupiter Florida/Vero Beach, the Cape Hatteras Tropical Limit/Myrtle Beach South Carolina, and Florida Keys/Ten Thousand Islands locations. Of these locations, Jupiter Florida/Vero Beach has the highest settlement rate in the model and is indicated as the area in which the panther grouper is most likely to become established. This insight is valuable if attempts are to be made to halt this potential marine invasive species

Synapses with short-term plasticity are optimal estimators of presynaptic membrane potentials.

The trajectory of the somatic membrane potential of a cortical neuron exactly reflects the computations performed on its afferent inputs. However, the spikes of such a neuron are a very low-dimensional and discrete projection of this continually evolving signal. We explored the possibility that the neuron's efferent synapses perform the critical computational step of estimating the membrane potential trajectory from the spikes. We found that short-term changes in synaptic efficacy can be interpreted as implementing an optimal estimator of this trajectory. Short-term depression arose when presynaptic spiking was sufficiently intense as to reduce the uncertainty associated with the estimate; short-term facilitation reflected structural features of the statistics of the presynaptic neuron such as up and down states. Our analysis provides a unifying account of a powerful, but puzzling, form of plasticity.

Representations of uncertainty in sensorimotor control.

Uncertainty is ubiquitous in our sensorimotor interactions, arising from factors such as sensory and motor noise and ambiguity about the environment. Setting it apart from previous theories, a quintessential property of the Bayesian framework for making inference about the state of world so as to select actions, is the requirement to represent the uncertainty associated with inferences in the form of probability distributions. In the context of sensorimotor control and learning, the Bayesian framework suggests that to respond optimally to environmental stimuli the central nervous system needs to construct estimates of the sensorimotor transformations, in the form of internal models, as well as represent the structure of the uncertainty in the inputs, outputs and in the transformations themselves. Here we review Bayesian inference and learning models that have been successful in demonstrating the sensitivity of the sensorimotor system to different forms of uncertainty as well as recent studies aimed at characterizing the representation of the uncertainty at different computational levels.

Material model of lung parenchyma based on living precision-cut lung slice testing.

We describe a novel constitutive model of lung parenchyma, which can be used for continuum mechanics based predictive simulations. To develop this model, we experimentally determined the nonlinear material behavior of rat lung parenchyma. This was achieved via uni-axial tension tests on living precision-cut rat lung slices. The resulting force-displacement curves were then used as inputs for an inverse analysis. The Levenberg-Marquardt algorithm was utilized to optimize the material parameters of combinations and recombinations of established strain-energy density functions (SEFs). Comparing the best-fits of the tested SEFs we found Wpar = 4.1 kPa(I1-3)2 + 20.7 kPa(I1 - 3)3 + 4.1 kPa(-2 ln J + J2 - 1) to be the optimal constitutive model. This SEF consists of three summands: the first can be interpreted as the contribution of the elastin fibers and the ground substance, the second as the contribution of the collagen fibers while the third controls the volumetric change. The presented approach will help to model the behavior of the pulmonary parenchyma and to quantify the strains and stresses during ventilation.

Determinants of small-scale fishermen's income on Oman's Batinah Coast

The small-scale fishing industry of Oman is responsible for almost 90 percent of the total marine fishery production. It is also the main supplier of fish for Omani households. This study analyzes the factors that determine small-scale fishermen’s income on Oman’s Batinah Coast, which has almost 30 percent of Oman’s population and more than one-third of the small-scale fishermen. We find that fishermen’s income here can be explained broadly under four major blocks of variables: geographical region, fishing inputs and catch, socioeconomic and demographic characteristics, and the nature of the relationship with fisheries extension services. In general, the Wilayat (local administrative units) failed to make any significant impact on fishermen’s income. The variable “Fishing inputs and catch,” such as increases in engine power, boat length, weekly catch, and number of weekly trips, positively impacted fishermen’s income while increases in weekly fishing costs, number of crew members, and difficulty in getting ice had a significantly negative effect on the income. Furthermore, socioeconomic and demographic characteristics also contributed significantly in determining the fishermen’s income level. The other important findings were related to extension services. The variables “Fishermen’s exchange of information and cooperation with the ministry” and “Fishermen’s involvement in the extension activities” were found to have positive effects on fishermen’s income levels. Capitalizing on these findings could improve fishermen’s incomes and their lives across the region, as well as nationally.

Statistics of natural movements are reflected in motor errors.

Humans use their arms to engage in a wide variety of motor tasks during everyday life. However, little is known about the statistics of these natural arm movements. Studies of the sensory system have shown that the statistics of sensory inputs are key to determining sensory processing. We hypothesized that the statistics of natural everyday movements may, in a similar way, influence motor performance as measured in laboratory-based tasks. We developed a portable motion-tracking system that could be worn by subjects as they went about their daily routine outside of a laboratory setting. We found that the well-documented symmetry bias is reflected in the relative incidence of movements made during everyday tasks. Specifically, symmetric and antisymmetric movements are predominant at low frequencies, whereas only symmetric movements are predominant at high frequencies. Moreover, the statistics of natural movements, that is, their relative incidence, correlated with subjects' performance on a laboratory-based phase-tracking task. These results provide a link between natural movement statistics and motor performance and confirm that the symmetry bias documented in laboratory studies is a natural feature of human movement.

The design, construction, operation, and maintenance of the Replicated Modular Estuarine Mesocosm

Perhaps the most difficult job of the ecotoxicologist is extrapolating data calculated from laboratory experiments with high precision and accuracy into the real world of highly-dynamics aquatic environments. The establishment of baseline laboratory toxicity testing data for individual compounds and ecologically important and field studies serve as a precursor to ecosystem level studies needed for ecological risk assessment. The first stage in the field portion of risk assessment is the determination of actual environmental concentrations of the contaminant being studied and matching those concentrations with laboratory toxicity tests. Risk estimates can be produced via risk quotients that would determine the probability that adverse effects may occur. In this first stage of risk assessment, environmental realism is often not achieved. This is due, in part, to the fact that single-species laboratory toxicity tests, while highly controlled, do not account for the complex interactions (Chemical, physical, and biological) that take place in the natural environment. By controlling as many variables in the laboratory as possible, an experiment can be produced in such a fashion that real effects from a compound can be determined for a particular test organism. This type of approach obviously makes comparison with real world data most difficult. Conversely, field oriented studies fall short in the interpretation of ecological risk assessment because of low statistical power, lack of adequate replicaiton, and the enormous amount of time and money needed to perform such studies. Unlike a controlled laboratory bioassay, many other stressors other than the chemical compound in question affect organisms in the environment. These stressors range from natural occurrences (such as changes in temperature, salinity, and community interactions) to other confounding anthropogenic inputs. Therefore, an improved aquatic toxicity test that will enhance environmental realism and increase the accuracy of future ecotoxicological risk assessments is needed.

The effects of urbanization on populations of grass shrimp Palaemonetes spp. in small, high salinity estuaries

High salinity estuaries in the southeastern U.S. have experienced increased inputs of contaminants from nonpoint source (NPS) urban runoff and decreases in habitat due to filling of wetlands and dock/bulkhead construction. Urbanization may pose significant risks to estuarine fauna, particularly crustaceans. The grass shrimp of the genus Palaemonetes, is one of the dominant species found in estuarine tidal creeks, accounting for greater than 50% of all macropelagic fauna on an annual basis. Spatial analytical and geographic information system techniques were used to determine which factors influenced the Palaemonetes population structures in a South Carolina bar-built estuary surrounded by urban development. Impacts from land use practices were investigated using concentric circular buffers around study sites. Factors investigated included sediment-associated polycyclic aromatic hydrocarbons concentration, land use classification, percent impervious surfaces, and other selected urban factors. Geographic information system and statistical modeling showed quantitative relationships between land use class and impacts on Palaemonetes density. The study suggests that habitat loss is a major factor influencing grass shrimp densities. Multiple regression modeling suggests a significant relationship between habitat alterations and Palaemonetes densities.

Flux and sources of nutrients in the Mississippi-Atchafalaya River Basin: Topic 3 Report for the Integrated Assessment on Hypoxia in the Gulf of Mexico.

Ths report addresses the following two questions: 1) What are the loads (flux) of nutrients transported from the Mississippi-Atchafalaya River Basin to the Gulf of Mexico, and where do they come from within the basin? 2) What is the relative importance of specific human activities, such as agriculture, point-source discharges, and atmospheric deposition in contributing to these loads? These questions were addressed by first estimating the flux of nutrients from the Mississippi-Atchafalaya River Basin and about 50 interior basins in the Mississippi River system using measured historical streamflow and water quality data. Annual nutrient inputs and outputs to each basin were estimated using data from the National Agricultural Statistics Service, National Atmospheric Deposition Program, and point-source data provided by the USEPA. Next, a nitrogen mass balance was developed using agricultural statistics, estimates of nutrient cycling in agricultural systems, and a geographic information system. Finally, multiple regression models were developed to estimate the relative contributions of the major input sources to the flux of nitrogen and phosphorus to the Gulf of Mexico.