Clonagem, expressão e purificação de domínios da proteína AtRLI2 (RNase L Inhibitor), um supressor endógeno de silenciamento por RNA de Arabidopis thaliana, visando estudos estruturais

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Caracterização estrutural e das interações entre a Proteína G do hRSV e potenciais inibidores

Pós-graduação em Microbiologia - IBILCE

Study on the vulnerability and resilience of Caribbean Small Island Developing States (SIDS)

Caribbean Small Island Developing States are considered to be particularly vulnerable to external shocks that stem from changes in climate and the increase in frequency and magnitude of natural disasters. Quantification of the extent of vulnerability of these islands may be measured by the use of several indices including the Economic Vulnerability Index (EcVI), the Disaster Deficit Index (DDI), the Environmental Vulnerability Index (EVI) and the Social Vulnerability Index (SVI). The capacity to build resilience may be measured by the Economic Resilience Index (ERI). Of importance in the measurement of vulnerability and resilience is the impact on women and children. In order to reduce vulnerability and promote resilience, Caribbean SIDS are urged to develop adaptation strategies. Such strategies include the conduct of indepth studies on natural environmental impacts specifically in terms of biophysical and socio economic impacts. It is also necessary to review best practices in terms of preparedness, resilience building and climate change adaptation in other countries such as Cuba. Addressing vulnerability and building resilience requires appropriate information and data and priority should be given to addressing data gaps. It would also be expedient to classify vulnerability and resilience as regional public goods wherein one country’s benefit does not compromise another country’s ability to benefit. Finally, it is important to acknowledge that vulnerability is, in part, is a function of gender so that indicators need to be disaggregated to reflect the country-specific gendered socioeconomic situation.

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.

Trabalho flexível e capital social: um estudo de caso sobre a ação dos agentes comunitários de saúde em Araraquara

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Sustentabilidade, manejo da água e da aeração no cultivo semi-intensivo do camarão-da-amazônia Macrobrachium amazonicum em água hipereutrófica)

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Instituto Histórico e Geográfico de Mato Grosso - IHGMT: relações de poder, escrita, política, cientificidade e a invenção do mato-grossense moderno 1895 a 1934

Pós-graduação em História - FCLAS

Evapotranspiração regional utilizando imagens orbitais para a Amazônia Oriental

A evapotranspiração (ET) foi espacializada através do algoritmo SEBAL para uma região de floresta primária na Amazônia Oriental (Caxiuanã, Pará). Para tal, utilizaram-se dados observacionais da torre micrometeorológica (localizada no interior desta floresta) em combinação com dados de origem orbital (imagens Modis/Acqua). Os primeiros resultados indicaram que, apesar da superestimativa, o SEBAL reproduz qualitativamente bem o padrão da variabilidade mensal da evapotranspiração para a região, principalmente para os meses da estação seca; em relação ao quantitativo, os resultados revelaram haver necessidade de acurácia no algoritmo. Para isso, calibrou-se o SEBAL a partir do saldo de radiação (Rn), com ajustes no albedo, na emissividade atmosférica e emissividade da superfície. As estimativas de ET geradas a partir deste SEBAL modificado apresentaram melhorias significativas na reprodução da variabilidade diária da evapotranspiração para a região, principalmente nos meses da estação chuvosa. Isto é, os ajustes realizados no algoritmo mostraram que as taxas de ET estimadas tornaram-se muito mais semelhantes às relatadas na literatura para a Amazônia, concordando melhor com a evapotranspiração observada. Através do SEBAL modificado foi possível também mapear o albedo, o saldo de radiação, o NDVI e a própria ET para duas vegetações distintas, encontradas dentro dos limites de Caxiuanã. A estimativa espacial destes parâmetros biofísicos foi coerentemente reproduzida para as duas vegetações, demonstrando que se o SEBAL modificado for aplicado a dados temporal e espacial de alta resolução, esta técnica pode ser rotineiramente utilizada, tornando-se uma ferramenta fundamental no monitoramento de necessidades hídricas e atmosféricas.

Effects of Low-Level Laser Therapy on Biceps Braquialis Muscle Fatigue in Young Women

Objective: This study aims to investigate the effects of low-level laser therapy (LLLT) on biceps brachi muscular fatigue in 20 young females. Background data: Exhausting physical activity leads to muscular fatigue, which could decrease muscular strength, and may cause impairment in motor control and muscle pain. Several biochemical and biophysical resources have been studied in an attempt to accelerate the recovery of muscle fatigue. Among these, LLLT is emphasized. Methods: Twenty subjects were randomized in one laser group and one placebo group in two sessions of a crossover design experimental procedure; the second session taking place within 7 days of the first. In the first session, subjects underwent a collection of surface electromyographic (SEMG) data of the biceps brachii muscle, followed by active or placebo LLLT at the same muscle, followed then by another EMG sample of biceps brachii. Blood samples were collected five times during the experimental procedure. Second session procedures were identical to the first, with exception of LLLT, which was the opposite of the first session. The fatigue protocol consisted of 60sec of elbow flexion-extension movement performed with 75% of one maximum repetition. Blood lactate, EMG fatigue, and the number of elbow flexion-extension repetitions during the fatigue protocol were used to evaluate the effects of laser therapy (808nm wavelength, 100mW output power, power density of 35.7 W/cm(2), 70sec each point and 7J/point on eight points). Results: No statistical differences were found for eletromyographic fatigue and blood lactate values between groups. Mean numbers of elbow flexion-extension repetitions were 22.6 +/- 7.58 after placebo, and 25.1 +/- 9.89 after active LLLT group, but these differences were not statistically significant (p=0.342). Conclusions: LLLT had limited effects on delaying muscle fatigue in a young female sample, although a tendency was observed in the active laser group toward showing lower electromyography fatigue of biceps brachii muscle. No intergroup differences were found in the number of muscle contractions and lactate concentration.

Modular Hyperthermostable Bacterial Endo-beta-1, 4-Mannanase: Molecular Shape, Flexibility and Temperature-Dependent Conformational Changes

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

Aspergillus niger beta-Glucosidase Has a Cellulase-like Tadpole Molecular Shape INSIGHTS INTO GLYCOSIDE HYDROLASE FAMILY 3 (GH3) beta-GLUCOSIDASE STRUCTURE AND FUNCTION

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