PRODUÇÃO E ATIVAÇÃO DO CARVÃO VEGETAL DE TRÊS ESPÉCIES FLORESTAIS

Este estudo teve por objetivo analisar as variáveis da produção do carvão vegetal das madeiras de Acacia mangium, Pseudosamanea guachapelle e Eucalyptus grandis e analisar a capacidade de adsorção de pigmentos pelos carvões produzidos e ativados com vapor d’água superaquecido. Para isso, as amostras das madeiras foram carbonizadas sob as temperaturas de 400, 500 e 600 °C numa velocidade de aquecimento de 1,67 °C min-1 e tempo total de carbonização de 4, 5 e 6 horas, respectivamente. Após a carbonização, determinaram-se os rendimentos gravimétricos em carvão, líquido pirolenhoso, gases não condensáveis e realizou-se a análise imediata dos carvões. Os carvões foram ativados sob a ação de vapor d’água superaquecido e testados em relação à adsorção de pigmentos coloridos dissolvidos em água. Para as três espécies analisadas, as menores temperaturas de carbonização proporcionaram os maiores rendimentos em carvão vegetal. As maiores temperaturas de carbonização resultaram nos menores teores de materiais voláteis e maiores teores de carbono fixo nos carvões. A ativação com vapor d’água superaquecido influenciou positivamente a adsorção de pigmentos do carvão de P. guachapelle produzido a 400 °C e dos carvões de A. mangium e E. grandis produzidos a 500 °C. A madeira de P. guachapelle carbonizada à 400 °C se destacou em relação às duas outras espécies florestais analisadas

Estresse no trabalho e qualidade de vida associados aos padrões alimentares em servidores de uma universidade pública

Objective: To analyze if dietary patterns are associated with quality of life and work stress of employees of a Public University in Fortaleza, Ceará. Methods: Cross-sectional study with 324 employees, with data collected through a questionnaire for sociodemographic, occupational and lifestyle characterization, as well as the Stress at Work Scale, Whoqol-bref Questionnaire and dietary recall. Feed patterns were identified by factor analysis by principal components, followed by varimax ortho-diagonal rotation. Poisson regression with robust variance estimation was used to estimate the prevalence ratios of variables in relation to dietary patterns. Results: Five dietary patterns were identified: mixed, prudent, common Brazilian, seafood and infused vegetables and dense in energy. Stress at work related to low social support and physical environment with low quality of life were significantly associated with lower adherence to the mixed standard, while high demand for work stress was associated with lower adherence to the common Brazilian standard. Conclusion: The findings showed influences on the eating pattern associated with sociodemographic factors, stress at work and low quality of life in university employees.O objetivo deste trabalho é analisar se os padrões alimentares estão associados à qualidade de vida e ao estresse no trabalho de servidores de uma Universidade Pública em Fortaleza, Ceará, utilizando-se de um estudo transversal com 324 servidores, com dados coletados por meio de questionário para caracterização sociodemográfica, ocupacional e estilo de vida, além da Escala de Estresse no Trabalho, Questionário Whoqol-bref e recordatório alimentar. Os padrões alimentares foram identificados por análise fatorial por componentes principais, seguida da rotação ortogonal varimax. A Regressão de Poisson com estimativa robusta da variância foi utilizada para estimar as razões de prevalências das variáveis em relação aos padrões alimentares. Foram identificados cinco padrões alimentares: misto, prudente, comum brasileiro, vegetais frutos do mar e infusos e densos em energia. O estresse no trabalho relacionado ao baixo apoio social e o ambiente físico com baixa qualidade de vida apresentaram associação estatística significativa com a menor adesão ao padrão misto, enquanto a alta demanda de estresse no trabalho apresentou associação com a menor adesão ao padrão comum brasileiro. Os achados evidenciaram influências no padrão alimentar associado aos fatores sociodemográficos, estresse no trabalho e baixa qualidade de vida nos servidores universitários. 

Yield adaptability and stability of semi-erect cowpea genotypes in the Brazil Northeast Region

O objetivo deste trabalho foi avaliar a adaptabilidade e a estabilidade da produtividade de grãos de 20 genótipos de feijão-caupi de porte semi-ereto, utilizando o modelo de efeitos aditivos principais e interação multiplicativa. Os ensaios foram conduzidos em 16 ambientes da Região Nordeste do Brasil. Os efeitos de genótipos, ambientes e da interação genótipo x ambiente, e os três primeiros eixos da análise de componentes principais (ACP) foram significativos. Os dois primeiros eixos da ACP explicaram juntos 55,11% da soma de quadrados da interação, correspondendo a 83,20% do padrão da interação genótipo x ambiente. As linhagens TE-97-321G-4, EVX-92-49E e EVX-63-10E apresentaram alta adaptabilidade, mas somente a última foi altamente previsível. A cultivar BRS Guariba e as linhagens EVX-92-49E e TE97-321G-4 expressam melhor potencial genético em ambientes de alta produtividade.The objective of this work was to evaluate the adaptability and the stability of the grain yield of 20 semierect cowpea genotypes, using the additive main effect and multiplicative interaction model. The trials were carried out in 16 environments of the Northeast Region of Brazil. The genotypes, environments and genotype x environment interaction, as well as the first three axes of the principal components analysis (PCA) were significant. The first two axes of the PCA explained 55.11% of the sum of squares of the genotype x environment interaction, corresponding to 83.20% of the pattern of genotype x environment interaction. TE97-321G-4, EVX-92-49E and EVX-63-10E lines were highly adaptable, but only the last one was highly predictable. BRS Guariba cultivar as well as EVX-92-49E and TE97-321G-4 lines best express their genetic potential in environments of high yield

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Trajetórias da Educomunicação nas Políticas Públicas e a Formação de seus Profissionais

Esta obra é composta com os trabalhos apresentados no primeiro subtema, TRAJETÓRIA – Educação para a Comunicação como Política pública, nas perspectivas da Educomunicação e da Mídia-Educação, do II Congresso Internacional de Comunicação e Educação. Os artigos pretendem propiciar trocas de informações e produzir reflexões com os leitores sobre os caminhos percorridos, e ainda a percorrer, tendo como meta a expansão e a legitimação das práticas educomunicativas e/ou mídia-educativas como política pública para o atendimento à formação de crianças, adolescentes, jovens e adultos, no Brasil e no mundo

Micromechanical Properties of Injection-Molded Starch–Wood Particle Composites

The micromechanical properties of injection molded starch–wood particle composites were investigated as a function of particle content and humidity conditions. The composite materials were characterized by scanning electron microscopy and X-ray diffraction methods. The microhardness of the composites was shown to increase notably with the concentration of the wood particles. In addition,creep behavior under the indenter and temperature dependence were evaluated in terms of the independent contribution of the starch matrix and the wood microparticles to the hardness value. The influence of drying time on the density and weight uptake of the injection-molded composites was highlighted. The results revealed the role of the mechanism of water evaporation, showing that the dependence of water uptake and temperature was greater for the starch–wood composites than for the pure starch sample. Experiments performed during the drying process at 70°C indicated that the wood in the starch composites did not prevent water loss from the samples.Peer reviewe

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

American College of Rheumatology Provisional Criteria for Clinically Relevant Improvement in Children and Adolescents With Childhood-Onset Systemic Lupus Erythematosus

10.1002/acr.23834ARTHRITIS CARE & RESEARCH715579-59