Via aérea difícil não prevista em paciente com tumor de amígdala: relato de caso

A via aérea difícil é a situação clínica, na qual um anestesiologista treinado tem dificuldade na ventilação da via aérea superior com máscara facial, dificuldade na intubação traqueal, ou ambas. A via aérea pode ser identificada como difícil antes do seu manejo, através da consulta pré-anestésica. Essa avaliação corrobora com o planejamento adequado para o momento da intubação orotraqueal. Contudo, existem situações nas quais a via aérea não é classificada como difícil, porém, no momento do manejo da via aérea, o anestesiologista tem dificuldades para realizar a intubação orotraqueal, implicando em uma via aérea difícil não prevista. Casos imprevistos não são encontrados com frequência na literatura. Por isso, mais estudos, como este, a respeito da via aérea difícil imprevista tornam-se essenciais para que o planejamento do acesso à via aérea seja realizado de forma mais rigorosa, com o intuito de um desfecho positivo da intubação orotraqueal

O Largo da Banana e a presença negra em São Paulo

The Largo da Banana relates to the history of the black population in São Paulo. Acknowledged as one of São Paulo’s “cradle” of samba, samba musicians are its main spokespersons. Largo da Banana used to be located near the former Barra Funda Railway Station. From the first decades to around half the Twentieth century, informal laborers in the railway logistics used to gather together in that space. Within a precarious and unsteady daily life, they used to play samba and tiririca. In the fifties, the municipality built the Pacaembu Viaduct in that area, aiming to extend the homonym avenue beyond the railway road. In the sixties, samba musician Geraldo Filme wrote two songs in which he paid homage to Largo da Banana and regrettedits disappearance after the viaduct’s inauguration. In these and other of his songs, the artist recorded his perceptions on the life conditions of São Paulo’s blacks and samba musicians, their sociabilities, and also the urban changes he witnessed. Considering that his artistic work contributes to enlighten aspects of social reality, I analyze some of his songs to interpret the sociabilities at Largo da Banana, as well as the urban intervention in that location.O Largo da Banana está associado à história da população negra em São Paulo. Reconhecido como um dos “berços” do samba paulista, é sobretudo através dos próprios sambistas que essa história pode hoje ser conhecida. Localizado junto à antiga estação da Barra Funda, desde as primeiras décadas até meados do século passado, aquele espaço concentrou trabalhadores informais vinculados às atividades da ferrovia. Em meio a um cotidiano precário e instável, essa população realizava rodas de samba e de tiririca. Nos anos 1950, foi construído naquele local o Viaduto Pacaembu, que prolongava a avenida homônima para além davia férrea. A partir da década de 1960, o sambista negro Geraldo Filme compôs duas canções em que homenageava o Largo da Banana e lamentava seu desaparecimento após a inauguração do viaduto. Nessas e em outras composições, o artista registrou suas percepções sobre as condições de vida da população negra e sambista na cidade, suas sociabilidades, bem como sobre as transformações urbanas que testemunhou. Considerando que sua obra artística contribui para iluminar aspectos da realidade social, ela é adotada como fonte para analisar as formas de sociabilidade no Largo da Banana e a intervenção urbanística naquele local

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

Frações da matéria orgânica e propriedades redox de substâncias húmicas em sedimentos de oceanos profundos

Previous studies have verified that free radicals such as quinone moieties in organic matter participate in the redox reactions in natural systems. These functional groups were positively correlated with the increase in aromaticity and hydrophobicity of the humic substances. As an alternative to relatively complex and expensive spectroscopic methods, the redox properties of the humic substances, determined by potentiometric titrations, have been used to evaluate organic carbon stability in soil and sediments. The present study aimed to perform organic matter fractionation and isolation of humic substances from deep oceans in different isobaths (750; 1,050; 1,350; 1,650; 1,950 m) to determine their redox properties by iodimetric titrations under an inert atmosphere and specified conditions of pH and ionic strength. Sediment samples were collected to the North and South of platforms of petroleum exploration located in the North of Rio de Janeiro State, Brazil. Fractions of organic carbon and redox properties of humic substances varied with origin and depth of the samples and with position North and South of the petroleum exploration area