ANÁLISE MICROBIOLÓGICA DA ÁGUA DE BEBEDOUROS DE UMA INSTITUIÇÃO DE ENSINO SUPERIOR DE RONDÔNIA, BRASIL

A água é um recurso essencial para manutenção da vida humana, sendo recomendado a ingestão de no mínimo dois litros diariamente. Vale destacar que água para consumo humano deve ser livre de qualquer contaminante de modo que não comprometa a saúde. O objetivo deste estudo foi realizar a análise microbiológica da água de bebedouros de uma Instituição de Ensino Superior do estado de Rondônia. Para tanto, 48 amostras de água provenientes de oito bebedouros foram submetidas a pesquisa de coliformes totais e coliformes termotolerantes empregando a técnica de Número Mais Provável (NMP). As análises microbiológicas evidenciaram a presença de coliformes totais em 19 (39,5%) das amostras. Dessas, 18 (37,5%) também demonstraram positividade para coliformes termotolerantes. Sendo assim, 39,5% das amostras foram classificadas como impróprias para consumo, já que a legislação vigente no Brasil recomenda ausência desses grupos de microrganismos em água para consumo. Os resultados obtidos evidenciaram um elevado percentual de amostras impróprias para consumo, demonstrando a necessidade de medidas de correção a fim de evitar que os estudantes façam a ingestão de água contaminada

Molecular epidemiological investigation of Mayaro virus in febrile patients from Goiania City, 2017-2018.

Mayaro virus (MAYV) has historically been associated with sylvatic transmission; however, urban outbreaks have been reported in Brazil, including cases of co-detection with dengue virus (DENV). Therefore, we performed a molecular survey to investigate MAYV circulation and cocirculation with DENV within Goiania, a major city in Central-West Brazil. Among 375 subjects with arbovirus-like symptoms, 259 were positive for DENV and 26 for MAYV. Of these, 17 were coinfected with DENV-2, suggesting co-transmission of the viruses. The most common complaints at the time of inclusion were myalgia, headache, fever, arthralgia, retro-orbital pain, and skin rash. No specific symptoms were associated with MAYV when either detected alone or co-detected with DENV, compared to that when DENV was detected alone. Most MAYV-infected subjects were women with no recent travel history to rural/sylvatic areas. Phylogenetic reconstruction indicated that the MAYV identified in this study is closely related with a lineage observed in Peru, belonging to genotype D. Our results corroborate the growing circulation of MAYV in urban environments in Brazil and reinforce the need to implement laboratory diagnosis in the Unified Health System, considering that the clinical manifestations of Mayaro fever are similar to those of other arboviruses, particularly dengue. Furthermore, most cases occurred in association with DENV-2. Further phylogenetic studies are needed to evaluate MAYV, which has not been widely examined

Jornalismo e ciência na universidade

Prefácio de Marcelo KnobelConhecimentos científicos produzidos na universidade chegam até a comunidade? Pesquisadores e jornalistas conseguem dialogar? Como a linguagem jornalística traduz a ciência para o leigo? Qual o papel das imagens na divulgação científica? Essas são algumas perguntas que os artigos que compõem este livro procuram responder. São relatadas experiências desenvolvidas por professores e estudantes das áreas de comunicação e educação da Universidade Federal de Uberlândia em projetos sobre comunicação pública e popularização da ciência que produziram o jornal impresso “Ciência em Pauta”, o programa de rádio “Ciência no Ar”, o programa de TV “Minuto Ciência UFU” e o blog “ImunoCast”.Com revisões bibliográficas, análises midiáticas e relatos de trabalhos, este livro é uma coletânea de reflexões e vivências sobre a ponte edificada – ou não – entre a ciência e a sociedade por meio da comunicação

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

ATLANTIC EPIPHYTES: a data set of vascular and non-vascular epiphyte plants and lichens from the Atlantic Forest

Epiphytes are hyper-diverse and one of the frequently undervalued life forms in plant surveys and biodiversity inventories. Epiphytes of the Atlantic Forest, one of the most endangered ecosystems in the world, have high endemism and radiated recently in the Pliocene. We aimed to (1) compile an extensive Atlantic Forest data set on vascular, non-vascular plants (including hemiepiphytes), and lichen epiphyte species occurrence and abundance; (2) describe the epiphyte distribution in the Atlantic Forest, in order to indicate future sampling efforts. Our work presents the first epiphyte data set with information on abundance and occurrence of epiphyte phorophyte species. All data compiled here come from three main sources provided by the authors: published sources (comprising peer-reviewed articles, books, and theses), unpublished data, and herbarium data. We compiled a data set composed of 2,095 species, from 89,270 holo/hemiepiphyte records, in the Atlantic Forest of Brazil, Argentina, Paraguay, and Uruguay, recorded from 1824 to early 2018. Most of the records were from qualitative data (occurrence only, 88%), well distributed throughout the Atlantic Forest. For quantitative records, the most common sampling method was individual trees (71%), followed by plot sampling (19%), and transect sampling (10%). Angiosperms (81%) were the most frequently registered group, and Bromeliaceae and Orchidaceae were the families with the greatest number of records (27,272 and 21,945, respectively). Ferns and Lycophytes presented fewer records than Angiosperms, and Polypodiaceae were the most recorded family, and more concentrated in the Southern and Southeastern regions. Data on non-vascular plants and lichens were scarce, with a few disjunct records concentrated in the Northeastern region of the Atlantic Forest. For all non-vascular plant records, Lejeuneaceae, a family of liverworts, was the most recorded family. We hope that our effort to organize scattered epiphyte data help advance the knowledge of epiphyte ecology, as well as our understanding of macroecological and biogeographical patterns in the Atlantic Forest. No copyright restrictions are associated with the data set. Please cite this Ecology Data Paper if the data are used in publication and teaching events. © 2019 The Authors. Ecology © 2019 The Ecological Society of Americ

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

Mediated Justice : Mapping news media narratives about indigenous peoples’ rights and the mining conflicts in Renca (Brazil) and Gállok (Sweden)

Conflicts between the mining industry and traditional communities have been challenging indigenous peoples’ rights and endangering the environment around the world. The purpose of this study is to gain a broad perspective on the role of media representations in framing (or misframing) justice (Fraser 2009) and in reflecting (or not) media responsibility (Silverstone 2017) when reporting such events. Although recent studies have analysed news media coverage of environmental conflicts from a similar theoretical approach, few studies have addressed this inquiry through narrative analysis. Particularly, considering cases from both developed and developing countries, different media ecologies (mainstream and alternative), and scales of production and distribution (national and international). This is the gap that motivates this study. The material consists of 54 articles from diverse new media sources that have reported on two contemporary mining conflicts: the Renca mining reserve in Brazil, and the Gállok/Kallak iron mine in Sweden. The analysis focuses on how the narrator conducts the stories by mapping and comparing the structural and discursive patterns found in the material. The findings show that, in both cases (Brazil and Sweden), the majority of narratives are grounded in Western-centric perspectives that tend to misframe justice. In contrast, the results suggest that fairer and more responsible narratives are the ones told from an absolute local (Cavarero 2012) perspective

ANALYSIS OF THE PERFORMANCE OF A PACKED BED REACTOR TO PRODUCTION ETHYL ESTERS FROM CRUDE VEGETABLE OIL USING LIPASE IMMOBILIZED IN SILICA MODIFIED WITH PROTIC IONIC LIQUID

The objective this study was to evaluated the influence of silica modified with protic ionic liquid (PIL) on an immobilized biocatalyst by covalent binding of Burkholderia cepacia lipase (BCL) in a PBR and in the transesterification reaction, by characterization and mass transfer of the system studied. The results showed that maximum conversion of ethyl esters was 39 ± 1.73% at 96 h (IB on control silica) and 47 ± 2.0% in 72 h (IB on modified silica). The PIL also influenced the analysis of residence time distribution (RTD) with the mean time ranging from 14.94 (control silica) to 25 min (modified silica). Variation of the reaction parameters (temperature, flow rate and molar ratio) positively influenced the mass transfer coefficient (kc) which varied from 0.95 × 10−4 to 2.39 × 10−4 m s−1 (IB on control silica) and from 1.22 × 10−4 to 3.06 × 10−4 m s−1 (IB on modified silica)