O reaproveitamento residual em espaço expositivo : alternativas materias para oficinas, estratégias para coleta e consciêntização

Monografia (graduação)—Universidade de Brasília, Instituto de Artes, Departamento de Artes Visuais, 2013.A arte é considerada uma prática muito cara devido ao custo dos materiais, porém com o conceito de sustentabilidade há a necessidade de se procurar materiais alternativos para compor as obras de artes e montar exposições. Objetivo deste trabalho é mostrar alternativas para o reaproveitamento do lixo como opção sustentável e relatar a experiência vivenciada pelo autor com o Programa Educativo do Centro Cultural Banco do Brasil

Investigação sobre brucelose bovina na Ilha de Fernando de Noronha, Pernambuco, Brasil

Considering the lack of information about livestock diseases on Brazilian oceanic islands, the occurrence of bovine brucellosis was investigated on the island of Fernando de Noronha, state of Pernambuco, Brazil. Serum samples were collected in October 2009, from all the 105 cows raised on the island at that time. These were examined concurrently using the Rose Bengal test and the Complement Fixation Test. All the samples were negative in both tests, indicating that the cows on the island were likely free from infection by smooth forms of Brucella. These results can partly be explained by the prohibition of introduction and importation of both small and large-sized animals that had been implemented through District Decree 19 of February 28, 2004.Tendo em vista a inexistência de informações sobre a ocorrência da brucelose bovina em ilhas oceânicas brasileiras, investigou-se a presença da infecção na ilha de Fernando de Noronha, Estado de Pernambuco, Brasil. Soros de todas as 105 fêmeas bovinas existentes, colhidos em outubro de 2009, foram examinados concomitantemente pelo teste do Antígeno Acidificado Tamponado e pela Reação de Fixação de Complemento. Todas as amostras foram negativas em ambos os testes, indicando que provavelmente os animais presentes na ilha encontravam-se livres da infecção por Brucella. Estes resultados podem ser explicados, em partes, pela proibição da introdução e importação de grandes e pequenos animais, implementada pelo Decreto Distrital 19, de 28 de fevereiro de 2004

Acetylated cashew gum-based nanoparticles for the incorporation of alkaloid epiisopiloturine

The natural alkaloid epiisopiloturine has recently become the focus of study for various medicinal properties, particularly for its anti-inflammatory and antischistosomal effect. The incorporation of active molecules in natural polymeric matrices has garnered increasing interest during recent decades. A new derivative of cashew gum successfully obtained by gum acetylation has shown great potential as a carrier in controlled drug release systems. In this work, epiisopiloturine was encapsulated in acetylated cashew gum nanoparticles in order to increase solubility and allow slow release, whereas the morphology results were supported by computer simulations. The particles were produced under a variety of conditions, and thoroughly characterized using light scattering and microscopic techniques. The particles were spherical and highly stable in solution, and showed drug incorporation at high levels, up to 55% efficiency. Using a dialysis-based in vitro assay, these particles were shown to release the drug via a Fickian diffusion mechanism, leading to gradual drug release over approximately 6 h. These nanoparticles show potential for the use as drug delivery system, while studies on their potential anti-inflammatory action, as well as toxicity and efficacy assays would need to be performed in the future to confirm their suitability as drug delivery candidates.This work was conducted in partnership with the Polymer Laboratory of the Federal University of Ceará for polymer modification. The authors thanks Foundation for Science and Technology (FCT) for the fellowships SFRH/BD/97995/2013 (AP) and SFRH/BD/95983/2013 (MPA), in the context of the POCH program. The work at UCIBIO/REQUIMTE was supported by FCT through project UID/MULTI/04378/2013 – POCI/01/0145/FEDER/007728 with financial support from FCT/MCTES through national funds and co-financed by FEDER, under the Partnership Agreement PT2020. The work at REQUIMTE/LAQV received financial support from the European Union (FEDER funds through COMPETE) and National Funds (FCT) through project UID/QUI/50006/2013. The computational time was provided by GRID-Unesp, SICC/IFSP and CENAPAD/SP. The authors also acknowledge CNPq and CAPES for a scholarship and financial aid.info:eu-repo/semantics/publishedVersio

Aspectos clínicos da ruptura do músculo gastrocnêmio em ruminantes: descrição de três casos

Esse trabalho tem por finalidade descrever a ocorrência e os aspectos clínicos da ruptura do músculo Gastrocnêmio em três animais (um bovino, um caprino e uma lhama) de idades diferentes, fêmeas, criados de forma semi-intensiva em propriedades distintas, que foram atendidos na Clínica de Bovinos de Garanhuns, Universidade Federal Rural de Pernambuco, cujos proprietários queixavam-se de problema locomotor. Essa enfermidade é rara ou incomum na clínica de ruminantes e, portanto, ainda pouco relatada. As principais causas relacionadas são os traumas e neuropatias pós-parturiente, sendo o diagnóstico geralmente clínico, baseando-se na identificação e no reconhecimento das alterações musculoesqueléticas e da postura, que são características. Os achados clínicos encontrados nos animais atendidos foram incapacidade e\ou dificuldade de levantar e ficar em estação, alteração na marcha, postura característica e inflamação local. Em dois animais a ruptura do músculo foi total e no outro a lesão foi parcial. Diante do prognóstico desfavorável indicou-se o abate do caprino e, em detrimento da idade da lhama, foi instituído tratamento com utilização de anti-inflamatórios não esteroides, porém sem sucesso. No caso do bovino, sugeriu-se a permanência temporária do animal, em espaço restrito, a fim de aproveitar a sua produção láctea. Dada à importância funcional desse músculo, sua ruptura compromete a viabilidade produtiva do animal afetado

Genomic epidemiology unveils the dynamics and spatial corridor behind the Yellow Fever virus outbreak in Southern Brazil

Despite the considerable morbidity and mortality of yellow fever virus (YFV) infections in Brazil, our understanding of disease outbreaks is hampered by limited viral genomic data. Here, through a combination of phylogenetic and epidemiological models, we reconstructed the recent transmission history of YFV within different epidemic seasons in Brazil. A suitability index based on the highly domesticated Aedes aegypti was able to capture the seasonality of reported human infections. Spatial modeling revealed spatial hotspots with both past reporting and low vaccination coverage, which coincided with many of the largest urban centers in the Southeast. Phylodynamic analysis unraveled the circulation of three distinct lineages and provided proof of the directionality of a known spatial corridor that connects the endemic North with the extra-Amazonian basin. This study illustrates that genomics linked with eco-epidemiology can provide new insights into the landscape of YFV transmission, augmenting traditional approaches to infectious disease surveillance and control

O Largo da Banana e a presença negra em São Paulo

The Largo da Banana relates to the history of the black population in São Paulo. Acknowledged as one of São Paulo’s “cradle” of samba, samba musicians are its main spokespersons. Largo da Banana used to be located near the former Barra Funda Railway Station. From the first decades to around half the Twentieth century, informal laborers in the railway logistics used to gather together in that space. Within a precarious and unsteady daily life, they used to play samba and tiririca. In the fifties, the municipality built the Pacaembu Viaduct in that area, aiming to extend the homonym avenue beyond the railway road. In the sixties, samba musician Geraldo Filme wrote two songs in which he paid homage to Largo da Banana and regrettedits disappearance after the viaduct’s inauguration. In these and other of his songs, the artist recorded his perceptions on the life conditions of São Paulo’s blacks and samba musicians, their sociabilities, and also the urban changes he witnessed. Considering that his artistic work contributes to enlighten aspects of social reality, I analyze some of his songs to interpret the sociabilities at Largo da Banana, as well as the urban intervention in that location.O Largo da Banana está associado à história da população negra em São Paulo. Reconhecido como um dos “berços” do samba paulista, é sobretudo através dos próprios sambistas que essa história pode hoje ser conhecida. Localizado junto à antiga estação da Barra Funda, desde as primeiras décadas até meados do século passado, aquele espaço concentrou trabalhadores informais vinculados às atividades da ferrovia. Em meio a um cotidiano precário e instável, essa população realizava rodas de samba e de tiririca. Nos anos 1950, foi construído naquele local o Viaduto Pacaembu, que prolongava a avenida homônima para além davia férrea. A partir da década de 1960, o sambista negro Geraldo Filme compôs duas canções em que homenageava o Largo da Banana e lamentava seu desaparecimento após a inauguração do viaduto. Nessas e em outras composições, o artista registrou suas percepções sobre as condições de vida da população negra e sambista na cidade, suas sociabilidades, bem como sobre as transformações urbanas que testemunhou. Considerando que sua obra artística contribui para iluminar aspectos da realidade social, ela é adotada como fonte para analisar as formas de sociabilidade no Largo da Banana e a intervenção urbanística naquele local

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

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

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