21 research outputs found

    Uma coleção de história em um museu de ciências naturais: o Museu Paulista de Hermann von Ihering

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    Instalado em um edifício-Monumento, data de 1895 a inauguração do Museu Paulista. Seu primeiro diretor, o zoólogo Hermann Von Ihering (1895-1916), teve a tarefa de organizar suas vastas coleções, as quais possuíam objetos de diversos ramos do conhecimento, entre eles, a História. Este artigo tem a intenção de entender a dimensão, dinâmica e concepção desta coleção de História, que recebeu pouca atenção da Historiografia relativa ao tema.The Museu Paulista, installed in a landmark building, was inaugurated in 1895. Its first director, the zoologist Herman von Ihering (1895-1916) undertook the assignment of organizing its extensive collections, which comprehended objects pertaining to varied fields of knowledge, including that of History. The present article aims at understanding the dimension, the dynamics and the conception of this historical collection. Until now little attention has been bestowed upon this subject matter by the specialized historiography

    A influência da suplementação de coenzima Q10 sobre o esquema de tratamento medicamentoso de Hipertensão Arterial Sistêmica

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    Objetivo: Avaliar, através de revisão de literatura, qual o efeito do uso de CoQ10 sobre a dose dos medicamentos hipotensores, quando usados em conjunto. Método: Trata-se de um estudo de revisão da literatura. A busca de artigos foi realizada na base de dados Medline entre os meses de janeiro a março de 2023. Foram utilizados na pesquisa os descritores “hypertension” e “coenzyme Q10”. Resultados: Foram encontrados 17 estudos, mas atenderam aos critérios da pesquisa apenas 2 estudos; em uma publicação os autores descreveram o resultado da administração de CoQ10 a pacientes hipertensos e em outra compilou várias intervenções feitas com o uso de CoQ10 em diferentes cardiopatias. Conclusão: Os estudos que avaliaram a influência da CoQ10 na dose de anti-hipertensivos quando associada ao tratamento padrão mostraram necessidade de menor dose ou de menos medicamentos para controle pressórico

    Pervasive gaps in Amazonian ecological research

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    Pervasive gaps in Amazonian ecological research

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    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

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    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

    Get PDF
    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

    Production and characterization of a new sweet Sorghum distilled beverage

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    Sweet sorghum is a culture that has received increasing attention in the last years. In many countries, genetic breeding programs have been developed seeking increases in the production of juice and sugars for alcoholic fermentation. In our study, S. cerevisiae and M. caribbica were evaluated to produce a distilled beverage from sweet sorghum, which was chemically and sensorially characterized. Both inocula and genotype BRS 506 were selected to produce the sweet sorghum spirit due to their high sugar conversion, ethanol yield, efficiency and productivity. The produced novel sorghum spirit was chemically and sensorially characterized. Fifty-five volatile compounds were identified by GCMS, most of them belonging to the groups of esters and higher alcohols, which are desirable due to their fruity aromatic descriptors in distilled beverages. The sweet sorghum spirit produced with S. cerevisiae presented more volatile acids (9431.86 µg/L), aldehydes (331.93 µg/L) and terpenes (4881 µg/L). In contrast, the spirit produced with mixed inoculum showed 58,021.27 µg/L of esters and 9717.07 µg/L of higher alcohols. The mixed inoculum improved the production of desirable volatile compounds, resulting in slightly greater acceptance in the sensorial analysis with a higher index of purchase intention. Based on our results, the sweet sorghum proved to be a good substrate for alcoholic fermentation to produce a spirit, which may represent an interesting alternative in the market of distilled beverages.This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES)—Finance Code 001. The authors also would like to thank Conselho Nacional de Desenvolvimento Científico e Tecnolo ´gico do Brasil (CNPq) and Fundação de Amparo à Pesquisa de MG (FAPEMIG) for financial support.info:eu-repo/semantics/publishedVersio

    Cinética de crescimento de levedura em mosto de cagaita para produção de bebida fermentada

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    The objective this work was the initial study of growth kinetics of yeast to serve as a basis for future studies to determine the potential of the wort cagaita as a source of substrate in the fermentation of Saccharomyces cerevisiae aimed at producing of fermented drink. Fruits were collected in the southern state of Tocantins and after clarification was conducted inoculation with initial concentration of 1.8 x 103 cells per ml. The analyzed parameters were pH, soluble solids, and optical density at 550nm and cell growth rate. As a result we observe that the initial TSS presented value well above that found in other fruits like cajá, watermelon and cashew, the values of initial pH of the wort is below the majority of the literature data and below the considered ideal for the growth of yeasts and although the growth rate was lower than most of the data available in the literature is possibly arising from nutritional factors or relative to the strain used.Objetivo deste trabalho foi realizar o estudo inicial da cinética de crescimento de levedura para servir como base para futuros estudos visando determinar a potencialidade do mosto de cagaita como fonte de substrato na fermentação alcoólica de S. cerevisiae visando a produção de bebida fermentada. Os frutos foram coletados na região sul do estado de Tocantins e após clarificação foi realizado a inoculação com concentração inicial de 1,8 x 103 Células por ml. Os parâmetros analisados foram, pH, teor de sólidos solúveis e densidade ótica a 550nm e taxa de crescimento celular. Como resultados observamos que o TSS inicial apresenta valor bem acima do encontrado em outras frutas como cajá, melancia e caju, os valores de pH inicial do mosto encontra-se abaixo da maioria dos dados da literatura e abaixo do considerado ideal para o crescimento de leveduras e ainda que a velocidade de crescimento abaixo da maioria dos dados disponíveis na literatura são possivelmente decorrentes de fatores nutricionais ou em relação à cepa utilizada

    Cinética de crescimento de levedura em mosto de cagaita para produção de bebida fermentada

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    Resumo: Objetivo deste trabalho foi realizar o estudo inicial da cinética de crescimento de levedura para servir como base para futuros estudos visando determinar a potencialidade do mosto de cagaita como fonte de substrato na fermentação alcoólica de S. cerevisiae visando a produção de bebida fermentada. Os frutos foram coletados na região sul do estado de Tocantins e após clarificação foi realizado a inoculação com concentração inicial de 1,8 x 103 Células por ml. Os parâmetros analisados foram, pH, teor de sólidos solúveis e densidade ótica a 550nm e taxa de crescimento celular. Como resultados observamos que o TSS inicial apresenta valor bem acima do encontrado em outras frutas como cajá, melancia e caju, os valores de pH inicial do mosto encontra-se abaixo da maioria dos dados da literatura e abaixo do considerado ideal para o crescimento de leveduras e ainda que a velocidade de crescimento abaixo da maioria dos dados disponíveis na literatura são possivelmente decorrentes de fatores nutricionais ou em relação à cepa utilizada.Kinetics of growth of yeast in wort of cagaita for production of fermented beverage Abstract: The objective this work was the initial study of growth kinetics of yeast to serve as a basis for future studies to determine the potential of the wort cagaita as a source of substrate in the fermentation of  Saccharomyces cerevisiae aimed at producing of fermented drink. Fruits were collected in the southern state of Tocantins and after clarification was conducted inoculation with initial concentration of 1.8 x 103 cells per ml. The analyzed parameters were pH, soluble solids, and optical density at 550nm and cell growth rate. As a result we observe that the initial TSS presented value well above that found in other fruits like cajá, watermelon and cashew, the values of initial pH of the wort is below the majority of the literature data and below the considered ideal for the growth of yeasts and although the growth rate was lower than most of the data available in the literature is possibly arising from nutritional factors or relative to the strain used
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