Fatores associados à injúria muscular em bovinos abatidos e suas relações com enzimas séricas e qualidade da carcaça

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Avaliação da utilização da termografia na região umbilical de bezerros holandeses com ou sem sinais clínicos de enterite

Pós-graduação em Ciência Animal - FMVA

Estudo da atividade antidermatofitica de Protocatecuatos contra T. rubrum e T. interdigitale

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Determinação da densidade amostral ótima para a geração de mapas temáticos na cafeicultura de precisão

Among the crops commercially exploited in Brazil, the coffee has a great economic importance, especially in the states of Minas Gerais and Espirito Santo. In the search for higher yield and lower environmental impact, farmers and researchers seek to develop new technologies that result in greater efficiency in various production processes of the coffee. For this, the adoption of precision agriculture in the management of operations in coffee crops, called precision coffee, has shown results that justify its use, by identifying the spatial variability of several variables, allowing its localized management and in the proper intensity. Unlike conventional management that is based on the average of observations in an area, precision agriculture uses a more detailed sampling, based on a sampling grid, which allows to represent in greater detail the reality of farming. Many previous studies have identified the spatial variability of the production of coffee system variables, but without worrying about the quality of information obtained due to the sampling grid used as precision and accuracy. Given the above, the objective of this study was to evaluate the quality of four different sampling grids for different variables and three times, in order to identify the most appropriate grid for use in precision coffee. Also aimed to compare the results between the precision coffee and conventional, according to reference values.

Influência da queima de cana-de-açúcar na presença de HPAs em ambiente residencial

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Desenvolvimento de modelos quimiométricos associados à espectroscopia no infravermelho para determinação de parâmetros físico-químicos do óleo diesel

Pós-graduação em Química - IQ

An assessment of the economic impact of climate change on the health sector In Jamaica

Climate change is a naturally occurring phenomenon in which the earth‘s climate goes through cycles of warming and cooling; these changes usually take place incrementally over millennia. Over the past century, there has been an anomalous increase in global temperature, giving rise to accelerated climate change. It is widely accepted that greenhouse gas emissions from human activities such as industries have contributed significantly to the increase in global temperatures. The existence and survival of all living organisms is predicated on the ability of the environment in which they live not only to provide conditions for their basic needs but also conditions suitable for growth and reproduction. Unabated climate change threatens the existence of biophysical and ecological systems on a planetary scale. The present study aims to examine the economic impact of climate change on health in Jamaica over the period 2011-2050. To this end, three disease conditions with known climate sensitivity and importance to Jamaican public health were modelled. These were: dengue fever, leptospirosis and gastroenteritis in children under age 5. Historical prevalence data on these diseases were obtained from the Ministry of Health Jamaica, the Caribbean Epidemiology Centre, the Climate Studies Group Mona, University of the West Indies Mona campus, and the Meteorological Service of Jamaica. Data obtained spanned a twelve-year period of 1995-2007. Monthly data were obtained for dengue and gastroenteritis, while for leptospirosis, the annual number of cases for 1995-2005 was utilized. The two SRES emission scenarios chosen were A2 and B2 using the European Centre Hamburg Model (ECHAM) global climate model to predict climate variables for these scenarios. A business as usual (BAU) scenario was developed using historical disease data for the period 2000-2009 (dengue fever and gastroenteritis) and 1995-2005 (leptospirosis) as the reference decades for the respective diseases. The BAU scenario examined the occurrence of the diseases in the absence of climate change. It assumed that the disease trend would remain unchanged over the projected period and the number of cases of disease for each decade would be the same as the reference decade. The model used in the present study utilized predictive empirical statistical modelling to extrapolate the climate/disease relationship in time, to estimate the number of climate change-related cases under future climate change scenarios. The study used a Poisson regression model that considered seasonality and lag effects to determine the best-fit model in relation to the diseases under consideration. Zhang and others (2008), in their review of climate change and the transmission of vector-borne diseases, found that: ―Besides climatic variables, few of them have included other factors that can affect the transmission of vector-borne disease….‖ (Zhang 2008) Water, sanitation and health expenditure are key determinants of health. In the draft of the second communication to IPCC, Jamaica noted the vulnerability of public health to climate change, including sanitation and access to water (MSJ/UNDP, 2009). Sanitation, which in its broadest context includes the removal of waste (excreta, solid, or other hazardous waste), is a predictor of vector-borne diseases (e.g. dengue fever), diarrhoeal diseases (such as gastroenteritis) and zoonoses (such as leptospirosis). In conceptualizing the model, an attempt was made to include non-climate predictors of these climate-sensitive diseases. The importance of sanitation and water access to the control of dengue, gastroenteritis and leptospirosis were included in the Poisson regression model. The Poisson regression model obtained was then used to predict the number of disease cases into the future (2011-2050) for each emission scenario. After projecting the number of cases, the cost associated with each scenario was calculated using four cost components. 1. Treatment cost morbidity estimate. The treatment cost for the number of cases was calculated using reference values found in the literature for each condition. The figures were derived from studies of the cost of treatment and represent ambulatory and non-fatal hospitalized care for dengue fever and gastroenteritis. Due to the paucity of published literature on the health care cost associated with leptospirosis, only the cost of diagnosis and antibiotic therapy were included in the calculation. 2. Mortality estimates. Mortality estimates are recorded as case fatality rates. Where local data were available, these were utilized. Where these were unavailable, appropriate reference values from the literature were used. 3. Productivity loss. Productivity loss was calculated using a human capital approach, by multiplying the expected number of productive days lost by the caregiver and/or the infected person, by GDP per capita per day (US$ 14) at 2008 GDP using 2008 US$ exchange rates. 4. No-option cost. The no-option cost refers to adaptation strategies for the control of dengue fever which are ongoing and already a part of the core functions of the Vector Control Division of the Ministry of Health, Jamaica. An estimated US$ 2.1 million is utilized each year in conducting activities to prevent the post-hurricane spread of vector borne diseases and diarrhoea. The cost includes public education, fogging, laboratory support, larvicidal activities and surveillance. This no-option cost was converted to per capita estimates, using population estimates for Jamaica up to 2050 obtained from the Statistical Institute of Jamaica (STATIN, 2006) and the assumption of one expected major hurricane per decade. During the decade 2000-2009, Jamaica had an average inflation of 10.4% (CIA Fact book, last updated May 2011). This average decadal inflation rate was applied to the no-option cost, which was inflated by 10% for each successive decade to adjust for changes in inflation over time.

Perfil bioquímico sérico de vacas das raças Nelore e Girolando sororreagentes ou não à brucelose e leptospirose no estado do Maranhão - Brasil

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Padronização da coleta e quantificação de células-tronco hematopoéticas no sangue do cordão umbilical de cães

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Perfis hematológico, hepático, lipídico e lipoprotéico de cães (Canis familiaris) com doença hepática

Pós-graduação em Medicina Veterinária - FMVZ

Avaliação do posicionamento plano-altimétrico com receptor gps em diferentes tipos de uso do solo

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Avaliação da espectrometria de absorção atômica com fonte contínua e de alta resolução no desenvolvimento de métodos analíticos para diagnóstico foliar de cana-de-açucar e laranjeira

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Caracterização petrográfica, físico-mecânica e de alterabilidade dos calcários ornamentais das Bacias Potiguar e do Araripe (RN/CE)

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Níveis de fósforo, cobre, cobalto e zinco em bubalinos (Bubalus bubalis) na Ilha de Marajó, Estado do Pará

Foram estudados 104 bubalinos, adultos, sem distinção de raça e sexo, criados extensivamente, sem suplementação, em pastagens nativas de baixa qualidade nutricional, dos municípios de Breves, Cachoeira do Arari, Salvaterra e Soure, Ilha de Marajó, Pará. Realizou-se coleta de amostras de fígado, osso e sangue de 26 animais do município de Salvaterra, 38 animais do município de Soure, 20 animais do município de Breves e 20 animais do município de Cachoeira do Arari. Foram realizadas determinações dos teores de fósforo, no soro sanguíneo e no osso, do percentual de cinzas e da densidade específica no tecido ósseo, e de cobalto, cobre e zinco no tecido hepático. Observou-se que a média das concentrações de fósforo no soro sanguíneo (6,26mg/dl) e no osso (10,77%), a percentagem de cinzas (60,87%) e a densidade específica (1,59g/ml) do osso foram inferiores aos níveis críticos estabelecidos para bovinos, caracterizando deficiência de fósforo. As concentrações médias de cobre (5,57ppm), e zinco (27,05ppm) foram consideradas baixas quando comparadas com valores de referência, caracterizando deficiência para estes elementos. No caso do cobalto, quando se considerou os valores detectáveis e não detectáveis pela metodologia observou-se que 51,92% dos animais apresentaram níveis inferiores aos de referência, demonstrando a ocorrência da deficiência de cobalto nesses animais. Ressalta-se que as deficiências de cobre e zinco demonstraram uma maior gravidade já que todos os animais estudados apresentaram níveis deficientes nesses elementos.

Processos enunciativos e gramática operatória: o espaço semântico-enunciativo dos marcadores er e estar

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)