Gestão do acervo do Arquiteto Eduardo Kneese De Mello: relato do tratamento organizacional da coleção iconográfica

O presente trabalho pauta-se no relato do processo de organização e catalogação primária da seção iconográfica do acervo do arquiteto Eduardo Kneese de Mello (1906–1994), realizado no ano de 2015, atualmente integrado à biblioteca do Centro Universitário Belas Artes de São Paulo. O fundo, produzido em vida pelo arquiteto, recuperou força no ano de 2006, com sua proficuidade como fonte de pesquisa anunciada pelo Dr. Ademir Pereira dos Santos, estimulando o início de diferentes manejos. Após a elucidação acerca da trajetória institucional deste material, demonstra-se aqui uma produção orientada por inquietações díspares aos trabalhos anteriores, objetivadas pela correlação da porção mais significativa do acervo, os slides, com as demais espécies documentais que compõem o conjunto do acervo. Seguinte à compreensão dos escopos que sucederam o vasto material constituinte do fundo, demonstra-se a metodologia empregada para tratamento, diagnóstico e  estruturação do catálogo, assim como sua importância como base informacional, através da qual se constituiu um panorama visual e quantitativo com o auxílio e gerenciamento de tabelas descritivas, gráficos percentuais de diferentes análises e a elaboração de mapas com roteiros ilustrativos que proporcionaram a exatidão geográfica de seu conhecimento e dos testemunhos históricos. A especulação das camadas existentes possibilitou o início da confirmação de informações publicadas sobre o arquiteto e mais uma complementação de sua biografia, com o conhecimento total de suas viagens. Considerou-se como função primordial a caracterização panorâmica do conteúdo do acervo, até então desconhecida, acabando-se por evidenciar futuras problemáticas a serem enfrentadas, potencialidades e ações e intervenções urgentes e primordiais à sobrevivência do fundo.Conducted in 2015, this research focuses on the report of the process of organization and primary cataloguing of the iconographical section of architect Eduardo Kneese de Mello’s (1906-1994) collection, currently integrated into the library of the University Center of Fine Arts of São Paulo. The collection, produced by the architect throughout his life, regained strength in 2006, as Professor Ademir Pereira dos Santos found in his work a source of research, stimulating different ways of handling it. After the elucidation on the institutional trajectory of this material, a production guided by concerns that are different from those of previous researches, objectified by the coexisting relations between the most significant part of the collection – the slides – and the other documentary species that make it up, is shown here. Following the comprehension of the scopes that succeeded the vast constituent material of the collection, the methodology applied in the treatment, diagnosis and structuring of the catalogue will be shown, as well as its importance as informational basis, through which a visual and quantitative outlook was built with the support and management of descriptive charts, percental graphics of different analyses and the elaboration of maps with illustrated scripts that provided the geographical accuracy of his knowledge and historical testimonies. The speculation of the existent layers enabled the beginning of the confirmation of the published information about the architect and a further complementation of his biography, with the complete knowledge about his travels. The panoramic characterization of the collection's content, unknown up until that point, was considered as the main objective, evidencing the problems to be faced in the future, as well as the potentialities and actions deemed as urgent and primordial to its survival

SIMULTANEOUS ANALYSIS OF P53 PROTEIN EXPRESSION AND CELL PROLIFERATION IN IRRADIATED HUMAN LYMPHOCYTES BY FLOW CYTOMETRY

P53 protein has an intrinsic role in modulating the cellular response against DNA radioinduced damages and has been pointed out as an indirect indicator of individual radiosensitivity. The rate of cell proliferation is also a parameter that has been related to tissue sensitivity to radiation. However, this feature is yet understudied. In this context, the aim of this work was to employ Flow Cytometry (FC) for simultaneously assessing of p53 protein expression levels together with cellular proliferation rate of irradiated human lymphocytes. From in vitro irradiated human blood samples, mononuclear cells were isolated and labeled with Carboxylfluorescein Diacetate Succinimidyl Ester (CFSE) prior to phytohaemagglutinin (PHA) stimulation in culture for 96 hours. Cells were also labeled with anti-p53 monoclonal antibody PE-conjugated in order to analyze either proliferation rate or p53 expression levels by FC. It was verified a reduction in the proliferation rate of irradiated lymphocytes and, in parallel, a rise in the p53 expression levels, similar for quiescent and proliferating lymphocytes. The results emphasize the importance of the use of CFSE-stained lymphocytes in assays associated to proliferation rate and the use of this methodology in several studies, such as for evaluating individual radiosensitivity

Proposta para sistematização do processo de remanufatura de produtos rejeitados no centro de distribuição de uma empresa importadora de eletrodomésticos / Proposal for a systematization of the remanufacturing process of rejected products in the distribution center of an importer of home appliances

Este trabalho apresenta uma proposta para sistematização do processo de remanufatura dos produtos rejeitados no centro de distribuição de uma empresa importadora de eletrodomésticos. Para elaboração dessa proposta foram utilizados indicadores de devoluções e o mapeamento do processo de encaminhamento dos produtos rejeitados, mostrando a origem do problema até a etapa do descarte dos produtos. Inicialmente, foram definidas as famílias de produtos que seriam estudadas para o levantamento dos indicadores. Os indicadores direcionaram os valores para a aplicação da remanufatura,as tratativas e osmétodos que conduziram as etapas do desenvolvimento das atividades. Com base nas características dos motivos que originaram o rejeito dos eletrodomésticos e a estratificação da coleta de dados, foi elaborado uma proposta de atividades no intuito de organizar e orientar uma possível implementação de mudanças sugeridaspela área da empresa responsável pelo processo de remanufatura. Essa proposta apresentou como resultado a possibilidade de reaproveitamento dos produtos rejeitados, proporcionando um retorno financeiro significativo somado aos ganhos com a redução dos impactos ao meio ambiente. Junto com a proposta foi mencionado um resultado potencial que colabora com o atendimento do setor de pós-vendas

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

Mapping density, diversity and species-richness of the Amazon tree flora

Using 2.046 botanically-inventoried tree plots across the largest tropical forest on Earth, we mapped tree species-diversity and tree species-richness at 0.1-degree resolution, and investigated drivers for diversity and richness. Using only location, stratified by forest type, as predictor, our spatial model, to the best of our knowledge, provides the most accurate map of tree diversity in Amazonia to date, explaining approximately 70% of the tree diversity and species-richness. Large soil-forest combinations determine a significant percentage of the variation in tree species-richness and tree alpha-diversity in Amazonian forest-plots. We suggest that the size and fragmentation of these systems drive their large-scale diversity patterns and hence local diversity. A model not using location but cumulative water deficit, tree density, and temperature seasonality explains 47% of the tree species-richness in the terra-firme forest in Amazonia. Over large areas across Amazonia, residuals of this relationship are small and poorly spatially structured, suggesting that much of the residual variation may be local. The Guyana Shield area has consistently negative residuals, showing that this area has lower tree species-richness than expected by our models. We provide extensive plot meta-data, including tree density, tree alpha-diversity and tree species-richness results and gridded maps at 0.1-degree resolution

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

Unraveling Amazon tree community assembly using Maximum Information Entropy: a quantitative analysis of tropical forest ecology

In a time of rapid global change, the question of what determines patterns in species abundance distribution remains a priority for understanding the complex dynamics of ecosystems. The constrained maximization of information entropy provides a framework for the understanding of such complex systems dynamics by a quantitative analysis of important constraints via predictions using least biased probability distributions. We apply it to over two thousand hectares of Amazonian tree inventories across seven forest types and thirteen functional traits, representing major global axes of plant strategies. Results show that constraints formed by regional relative abundances of genera explain eight times more of local relative abundances than constraints based on directional selection for specific functional traits, although the latter does show clear signals of environmental dependency. These results provide a quantitative insight by inference from large-scale data using cross-disciplinary methods, furthering our understanding of ecological dynamics

Unraveling Amazon tree community assembly using Maximum Information Entropy: a quantitative analysis of tropical forest ecology

In a time of rapid global change, the question of what determines patterns in species abundance distribution remains a priority for understanding the complex dynamics of ecosystems. The constrained maximization of information entropy provides a framework for the understanding of such complex systems dynamics by a quantitative analysis of important constraints via predictions using least biased probability distributions. We apply it to over two thousand hectares of Amazonian tree inventories across seven forest types and thirteen functional traits, representing major global axes of plant strategies. Results show that constraints formed by regional relative abundances of genera explain eight times more of local relative abundances than constraints based on directional selection for specific functional traits, although the latter does show clear signals of environmental dependency. These results provide a quantitative insight by inference from large-scale data using cross-disciplinary methods, furthering our understanding of ecological dynamics