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

Designing and implementing an Spatial Augmented Reality X-Ray

Casting digital-controlled light over real object surfaces, thus creating new textures and special effects, brings to designers and engineers an endless spectrum of possibilities and innovation for their projects. This technology, called SpatialAugmented Reality, can be considered as a kind of "virtual material" that can be manipulated by designers in augmented environments. In order to achieve more knowledge on the use of this technology, we have developed AR X-Ray, a spatialaugmented reality tool. Through the use of a portable projector a Virtual X-Ray is emitted over real walls, allowing visual exploration of internal details of buildings (such as pipes and ducts). This paper presents the design, implementaion and results of this project. Some details regarding solutions for technical problems are also discussed, as following: projector tracking, proper registration of synthetic information over realobjects and the development of a shader that manipulates the transparency of textures to allow the user to view what is behind objects

Mudança e crise: o PT no governo em São Paulo Change and crisis: the rule of the PT in São Paulo

O texto examina como uma mudança no ambiente organizacional em que atua um partido político é capaz de transformar sua linha de ação política, inclusive no que se refere à sua relação com instituições representativas como o parlamento. O caso estudado é o do Partido dos Trabalhadores (PT), no período em que teve o governo do município de São Paulo (1989-1992).<br>The text examines through a case study how a change in the organizational environment in which a political party acts transforms its ways of political action, including its relationships with representative institutions like the parliament

Evaluation of cysticercus-specific IgG (total and subclasses) and IgE antibody responses in cerebrospinal fluid samples from patients with neurocysticercosis showing intrathecal production of specific IgG antibodies Avaliação das respostas de anticorpos anti-cisticercos IgG (total e subclasses) e IgE em amostras de líquido cefalorraquidiano de pacientes com neurocisticercose apresentando produção intratecal de anticorpos específicos IgG

In the present study, an enzyme-linked immunosorbent assay (ELISA) standardized with vesicular fluid of Taenia solium cysticerci was used to screen for IgG (total and subclasses) and IgE antibodies in cerebrospinal fluid (CSF) samples from patients with neurocysticercosis showing intrathecal production of specific IgG antibodies and patients with other neurological disorders. The following results were obtained: IgG-ELISA: 100% sensitivity (median of the ELISA absorbances (MEA)=1.17) and 100% specificity; IgG1-ELISA: 72.7% sensitivity (MEA=0.49) and 100% specificity; IgG2-ELISA: 81.8% sensitivity (MEA=0.46) and 100% specificity; IgG3-ELISA: 63.6% sensitivity (MEA=0.12) and 100% specificity; IgG4-ELISA: 90.9% sensitivity (MEA=0.85) and 100% specificity; IgE-ELISA 93.8% sensitivity (MEA=0.60) and 100% specificity. There were no significant differences between the sensitivities and specificities in the detection of IgG-ELISA and IgE-ELISA, although in CSF samples from patients with neurocysticercosis the MEA of the IgG-ELISA was significantly higher than that of the IgE-ELISA. The sensitivity and MEA values of the IgG4-ELISA were higher than the corresponding values for the other IgG subclasses. Future studies should address the contribution of IgG4 and IgE antibodies to the physiopathology of neurocysticercosis.<br>No presente estudo, uma reação imunoenzimática (ELISA) padronizada com o fluido vesicular de cisticercos de Taenia solium foi utilizada para avaliar as respostas de anticorpos anti-cisticercos IgG (total e subclasses) e IgE em amostras de líquido cefalorraquidiano (LCR) de pacientes com neurocisticercose apresentando produção intratecal de anticorpos específicos IgG e pacientes com outras desordens neurológicas. Os seguintes resultados foram obtidos: ELISA-IgG: 100% de sensibilidade (mediana das absorbâncias das reações ELISA (MAE)=1,17) e especificidade 100%; ELISA-IgG1: sensibilidade 72,7% (MAE=0,49) e especificidade 100%; ELISA-IgG2: sensibilidade 81,8% (MAE=0,46) e especificidade 100%; ELISA-IgG3: sensibilidade 63,6% (MAE=0,12) e especificidade 100%; ELISA-IgG4: sensibilidade 90,9% (MAE=0,85) e especificidade 100%; ELISA-IgE: sensibilidade 93,8% (MAE=0,60) e especificidade 100%. Não foram encontradas diferenças significativas entre as sensibilidades e especificidades das reações ELISA-IgG e ELISA-IgE, embora a MAE da reação ELISA-IgG em amostras de LCR de pacientes com neurocisticercose tenha sido significativamente maior que a obtida com ELISA-IgE. Os valores de sensibilidade e MAE da reação ELISA-IgG4 foram maiores que os valores correspondentes para as outras subclasses da IgG. Estudos futuros deverão abordar a contribuição dos anticorpos IgG4 e IgE na fisiopatologia da neurocisticercose

Por que a elasticidade-preço das importações é baixa no Brasil? Evidências a partir das desagregações das importações por categorias de uso

Resumo Estudos recentes indicam que a elasticidade-preço das importações brasileiras é baixa. Este trabalho procura racionalizar o referido resultado revisitando as estimativas das importações do país desagregadas por "categoria de uso". Os resultados reportados sugerem que a baixa elasticidade-preço das importações agregadas reflete fundamentalmente a baixa elasticidade-preço das importações de combustíveis, bens intermediários e de alguns tipos de serviços - notadamente, transporte, aluguel de equipamentos e pagamentos de royalties - produtos que, somados, respondem por pouco menos de dois terços do total importado. Isso ocorre porque vários desses produtos têm pouca ou nenhuma possibilidade de substituição por similares nacionais, devido principalmente a deficiências estruturais na oferta nacional