estudos artísticos

A revista Gama, Estudos Artísticos estabeleceu-se como um instrumento para a disseminação do conhecimento em torno da arte e da cultura numa perspetiva que se crê inovadora, e que nos caracteriza: estudar arte e artistas através do olhar formado e privilegiado dos companheiros de profissão. Artistas estudam outros artistas. A revista Gama pertence assim a um projeto de resistência: resistência ao centrismo do artworld, ao esmagamento pelos discursos dominantes, às lógicas de reprodução da legitimação instituída. Há uma característica que prevalece em todos os 28 artigos reunidos na presente edição: a reflexão informada sobre autores e obras de arte, que propõe novas leituras e novas redes de conhecimento. Todas juntas constituem um tecido que descobre sentidos, na sua integração global na nova paisagem cultural.info: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 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-PRIMATES: a dataset of communities and occurrences of primates in the Atlantic Forests of South America

Primates play an important role in ecosystem functioning and offer critical insights into human evolution, biology, behavior, and emerging infectious diseases. There are 26 primate species in the Atlantic Forests of South America, 19 of them endemic. We compiled a dataset of 5,472 georeferenced locations of 26 native and 1 introduced primate species, as hybrids in the genera Callithrix and Alouatta. The dataset includes 700 primate communities, 8,121 single species occurrences and 714 estimates of primate population sizes, covering most natural forest types of the tropical and subtropical Atlantic Forest of Brazil, Paraguay and Argentina and some other biomes. On average, primate communities of the Atlantic Forest harbor 2 ± 1 species (range = 1–6). However, about 40% of primate communities contain only one species. Alouatta guariba (N = 2,188 records) and Sapajus nigritus (N = 1,127) were the species with the most records. Callicebus barbarabrownae (N = 35), Leontopithecus caissara (N = 38), and Sapajus libidinosus (N = 41) were the species with the least records. Recorded primate densities varied from 0.004 individuals/km 2 (Alouatta guariba at Fragmento do Bugre, Paraná, Brazil) to 400 individuals/km 2 (Alouatta caraya in Santiago, Rio Grande do Sul, Brazil). Our dataset reflects disparity between the numerous primate census conducted in the Atlantic Forest, in contrast to the scarcity of estimates of population sizes and densities. With these data, researchers can develop different macroecological and regional level studies, focusing on communities, populations, species co-occurrence and distribution patterns. Moreover, the data can also be used to assess the consequences of fragmentation, defaunation, and disease outbreaks on different ecological processes, such as trophic cascades, species invasion or extinction, and community dynamics. There are no copyright restrictions. Please cite this Data Paper when the data are used in publications. We also request that researchers and teachers inform us of how they are using the data. © 2018 by the The Authors. Ecology © 2018 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

Alterações de neuroimagem no parkinsonismo: estudo de cinco casos

Apresentamos 5 casos de parkinsonismo nos quais as imagens de ressonância magnética (RM) mostram alterações em estruturas do circuito dos núcleos da base (NB). Foram estudados 5 pacientes: 3 do sexo masculino e 2 do feminino nos quais as manifestações clínicas tiveram início nas faixas estárias de 5 a 52 anos. Os exames de RM foram realizados com equipamento de 1.5T. As imagens nas sequências em T2 evidenciaram hipersinal bilateral e simétrico nas seguintes topografias: exclusivamente na substância negra (3 casos), exclusivamente no globo pálido (1 caso) e envolvendo simultaneamente a substância negra, o globo pálido e as conexões nigro-estriatais (1 caso). Em três casos havia dados sugestivos de parkinsonismo secundário: um pelo herbicida glifosato; outro após vacinação anti-sarampo; outro após período de coma por encefalite. Nos dois casos restantes, o diagnóstico clínico era de doença de Parkinson (DP). Entretanto, nesses dois casos, os dados da RM permitiram excluir o diagnóstico inicial de DP. A RN foi fundamental para identificar casos de parkinsonismo secundário, embora em alguns destes pacientes não tenha sido possível determinar os agentes etiológicos

Isolamento de fungos filamentosos em água utilizada em uma unidade de hemodiálise Isolation of filamentous fungi from water used in a hemodialysis unit

A despeito da relativa freqüência de infecções fúngicas oportunísticas em pacientes sob hemodiálise, os reservatórios ambientais destes permanecem desconhecidos, embora alguns estudos recentes tenham correlacionado o suprimento de água como fonte desses microrganismos. O objetivo deste trabalho foi monitorar a qualidade micológica do sistema hídrico de uma Unidade de Hemodiálise, do interior do Estado de São Paulo, Brasil, no período entre abril e julho de 2006. Foram coletadas amostras (15), de 1000mL em 7 pontos de distribuição de água empregando-se técnica da membrana filtrante (0,45µm). Foram isolados 116 fungos filamentosos, dos quais 47 (40,5%) Trichoderma sp, 29 (25%) Cladosporium sp, 16 (13,8%) Aspergillus sp e 11 (9,5%) Fusarium sp. Mediante os resultados, sugerimos que suprimentos de água para Unidades de Hemodiálise devam ser monitorados também quanto ao aspecto micológico, adotando-se medidas profiláticas eficazes que minimizem a exposição destes pacientes imunodeficientes a fontes aquáticas ambientais contaminadas.Despite the relative frequency of opportunistic fungal infections among hemodialysis patients, the reservoirs for these microorganisms in the environment remain unknown, although some recent studies have made correlations with the water supply as their source. The objective of the present study was to monitor the mycological quality of the water system of a hemodialysis unit in the interior of the State of São Paulo, Brazil, over the period from April to July 2006. Fifteen samples of 1000 ml were collected from seven water distribution points using the membrane filtration technique (0.45 µm). A total of 116 filamentous fungus specimens were isolated, including 47 Trichoderma sp (40.5%), 29 Cladosporium sp (25%), 16 Aspergillus sp (13.8%) and 11 Fusarium sp (9.5%). The results suggest that the water supply for hemodialysis units should also be monitored for mycological contamination, and that effective prophylactic measures should be adopted for minimizing the exposure of these immunodeficient patients to contaminated water sources in the environment