Levantamento de Diaphorina citri (Hemiptera: psylidae), vetor do Huanglongbing (HLB), em três regiões produtoras de citros no estado da Bahia.

O psilídeo Diaphorina citri, Kuwayama, inseto-vetor da bactéria Candidatus Liberibacter causadora da devastadora doença dos citros: a Huanglongbing ? HLB - (ex-greening), ocorre praticamente em todas regiões produtoras de citros do país. A Bahia é considerada área livre desta doença. A transmissão do HLB ocorre por meio de enxertia com material contaminado ou por inoculação da bactéria no floema da planta pelo inseto vetor.PDF. 153_11

Tratamento de dados climáticos de Santa Maria, RS, para análise de desempenho térmico de edificações

Resumo O tratamento e a disponibilização de dados climáticos para projeto de edificações são importantes para seu desempenho térmico e eficiência energética. O Ano Climático de Referência (TRY), o Ano Meteorológico Típico (TMY2), a carta bioclimática, arquivos EPW e CVS, diagrama de ventos e o dia típico de projeto são os tratamentos mais comuns. Para Santa Maria - RS, algumas destas sistematizações já existiam, porém para um período de oito anos. O objetivo do estudo foi tratar e analisar dados climáticos para Santa Maria, complementando estudos anteriores, ampliando a base de dados para doze anos e atualizando seu tratamento. O estudo baseou-se em bibliografia científica e metodologias que vêm sendo empregadas por vários pesquisadores. Os resultados apontam maior desconforto por frio. A radiação solar é bem distribuída ao longo do ano, indicando aquecimento solar passivo, no inverno, e sombreamento, no verão. O arquivo TMY2 gerado no estudo tem comportamento similar ao TRY-INMET (2012) e apresenta diferenças mais significativas quando comparado ao SWERA. Observou-se a importância das orientações norte e nordeste, para aquecimento solar, e leste, para ventilação. Os métodos apresentados podem ser aplicados a outras localidades com dados horários disponíveis

Prospecção de agentes de controle biológico para o manejo de ácaros pragas em culturas de solanáceas no DF e entorno.

Siconbiol

Diagnóstico molecular de bactérias sistemicas dos Citros na Embrapa Mandioca e Fruticultura.

A cultura do citros enfrenta inúmeros problemas fitossanitários, destacando-se àqueles causados por bactérias sistêmicas como a clorose variegada do citros (CVC), cujo agente é a Xylella fastidiosa, e o Huanglongbing (HLB), causado, no Brasil, pelas bactérias Candidatus Liberibacter asiaticus e Candidatus Liberibacter americanus. A CVC é transmitida por cigarrinhas vetoras, à maioria delas presentes na Bahia.Em paralelo aconteceram também os seguintes eventos: V Seminário de Pesquisa do Recôncavo da Bahia; V Seminário Estudantil de Pesquisa da UFRB; V Seminário da Pós-Graduação da UFRB; II Seminário Regional de Pesquisa da EBDA; 5ª Jornada Científica da Embrapa Mandioca e Fruticultura; VIII Seminário Estudantil de Pesquisa e Extensão da FAMAM; Semana de Ciência, Tecnologia e Inovação no Agronegócio; Fórum de Gestores de Iniciação Científica e Tecnológica da Bahia; II Simpósio Baiano de Defesa Agropecuária; I Semana de Educação Tutorial da UFRB

Insulin-resistance and metabolic syndrome are related to executive function in women in a large family-based study

While type 2 diabetes is well-known to be associated with poorer cognitive performance, few studies have reported on the association of metabolic syndrome (MetS) and contributing factors, such as insulin-resistance (HOMA-IR), low adiponectin-, and high C-reactive protein (CRP)- levels. We studied whether these factors are related to cognitive function and which of the MetS components are independently associated. The study was embedded in an ongoing family-based cohort study in a Dutch population. All participants underwent physical examinations, biomedical measurements, and neuropsychological testing. Linear regression models were used to determine the association between MetS, HOMA-IR, adiponectin levels, CRP, and cognitive test scores. Cross-sectional analyses were performed in 1,898 subjects (mean age 48 years, 43% men). People with MetS had significantly higher HOMA-IR scores, lower adiponectin levels, and higher CRP levels. MetS and high HOMA-IR were associated with poorer executive function in women (P = 0.03 and P = 0.009). MetS and HOMA-IR are associated with poorer executive function in women

Clinical and organizational factors associated with mortality during the peak of first COVID-19 wave: the global UNITE-COVID study

Purpose: To accommodate the unprecedented number of critically ill patients with pneumonia caused by coronavirus disease 2019 (COVID-19) expansion of the capacity of intensive care unit (ICU) to clinical areas not previously used for critical care was necessary. We describe the global burden of COVID-19 admissions and the clinical and organizational characteristics associated with outcomes in critically ill COVID-19 patients. Methods: Multicenter, international, point prevalence study, including adult patients with SARS-CoV-2 infection confirmed by polymerase chain reaction (PCR) and a diagnosis of COVID-19 admitted to ICU between February 15th and May 15th, 2020. Results: 4994 patients from 280 ICUs in 46 countries were included. Included ICUs increased their total capacity from 4931 to 7630 beds, deploying personnel from other areas. Overall, 1986 (39.8%) patients were admitted to surge capacity beds. Invasive ventilation at admission was present in 2325 (46.5%) patients and was required during ICU stay in 85.8% of patients. 60-day mortality was 33.9% (IQR across units: 20%–50%) and ICU mortality 32.7%. Older age, invasive mechanical ventilation, and acute kidney injury (AKI) were associated with increased mortality. These associations were also confirmed specifically in mechanically ventilated patients. Admission to surge capacity beds was not associated with mortality, even after controlling for other factors. Conclusions: ICUs responded to the increase in COVID-19 patients by increasing bed availability and staff, admitting up to 40% of patients in surge capacity beds. Although mortality in this population was high, admission to a surge capacity bed was not associated with increased mortality. Older age, invasive mechanical ventilation, and AKI were identified as the strongest predictors of mortality

Co-infection and ICU-acquired infection in COIVD-19 ICU patients: a secondary analysis of the UNITE-COVID data set

Background: The COVID-19 pandemic presented major challenges for critical care facilities worldwide. Infections which develop alongside or subsequent to viral pneumonitis are a challenge under sporadic and pandemic conditions; however, data have suggested that patterns of these differ between COVID-19 and other viral pneumonitides. This secondary analysis aimed to explore patterns of co-infection and intensive care unit-acquired infections (ICU-AI) and the relationship to use of corticosteroids in a large, international cohort of critically ill COVID-19 patients.Methods: This is a multicenter, international, observational study, including adult patients with PCR-confirmed COVID-19 diagnosis admitted to ICUs at the peak of wave one of COVID-19 (February 15th to May 15th, 2020). Data collected included investigator-assessed co-infection at ICU admission, infection acquired in ICU, infection with multi-drug resistant organisms (MDRO) and antibiotic use. Frequencies were compared by Pearson's Chi-squared and continuous variables by Mann-Whitney U test. Propensity score matching for variables associated with ICU-acquired infection was undertaken using R library MatchIT using the "full" matching method.Results: Data were available from 4994 patients. Bacterial co-infection at admission was detected in 716 patients (14%), whilst 85% of patients received antibiotics at that stage. ICU-AI developed in 2715 (54%). The most common ICU-AI was bacterial pneumonia (44% of infections), whilst 9% of patients developed fungal pneumonia; 25% of infections involved MDRO. Patients developing infections in ICU had greater antimicrobial exposure than those without such infections. Incident density (ICU-AI per 1000 ICU days) was in considerable excess of reports from pre-pandemic surveillance. Corticosteroid use was heterogenous between ICUs. In univariate analysis, 58% of patients receiving corticosteroids and 43% of those not receiving steroids developed ICU-AI. Adjusting for potential confounders in the propensity-matched cohort, 71% of patients receiving corticosteroids developed ICU-AI vs 52% of those not receiving corticosteroids. Duration of corticosteroid therapy was also associated with development of ICU-AI and infection with an MDRO.Conclusions: In patients with severe COVID-19 in the first wave, co-infection at admission to ICU was relatively rare but antibiotic use was in substantial excess to that indication. ICU-AI were common and were significantly associated with use of corticosteroids

Análise paramétrica de chaminés solares visando à otimização de desempenho em climas típicos do território brasileiro

Resumo Uma das principais estratégias de resfriamento passivo de edificações é a ventilação natural, que pode ocorrer tanto por ação dos ventos como por efeito chaminé. A segunda opção é mais eficaz em situações em que a velocidade do vento é sensivelmente reduzida pelos obstáculos locais, como ocorre no interior da malha urbana, por exemplo. Este artigo tem por objetivo investigar o potencial de chaminés solares para promover a ventilação natural em edificações de baixa altura, localizadas em climas típicos do território brasileiro. Para isso, realizou-se uma análise dos efeitos da variação de diferentes parâmetros geométricos e construtivos do sistema para uma cidade representativa de cada zona bioclimática brasileira. Os parâmetros incluíram espessura do canal de ar, comprimento da chaminé e inclinação e tipo de vidro utilizado no coletor solar. Incluiu-se também uma análise comparativa entre chaminés com e sem coletor solar, ambas com a mesma configuração geométrica. Os resultados obtidos indicam a aplicabilidade da chaminé solar para promover a ventilação natural nas cidades analisadas e permitem identificar os parâmetros e valores que otimizam o desempenho do conjunto para cada caso