ESTRATÉGIAS PARA GESTÃO DE TRÁFEGO E MOBILIDADE NOS GRANDES EVENTOS DO RIO DE JANEIRO

Megaeventos são estruturas complexas que abrangem a integração de diversos setores e que geralmente impactam na vida de uma comunidade. A cidade do Rio de Janeiro vem adquirindo experiência contínua na gestão desses eventos. Destacam-se não só os Jogos Olímpicos e a Copa do Mundo, mas também os diversos grandes eventos que a cidade hospeda rotineiramente, como o Carnaval e o Réveillon. Assim, essa publicação tem o objetivo de apresentar os principais conceitos e soluções adotados pelo município do Rio de Janeiro, primeiro abordando a evolução do planejamento de tráfego nos grandes eventos, depois identificando os principais desafios e então compartilhando as principais estratégias adotadas. O resultado final é entendido como um plano de mobilidade aprovado pela população e pela imprensa, contemplando não só o incentivo ao uso dos transportes públicos de alta capacidade, “zero carro” para chegada ao evento, medidas adequadas de gerenciamento de demanda e larga comunicação, mas também marcado pela integração entre os órgãos envolvidos

The rarest of the rare: rediscovery and status of the critically endangered Belem Curassow, Crax fasciolata pinima (Pelzeln, 1870)

The Belem Curassow (Crax fasciolata pinima) is one of the most endangered birds in South America, without sightings of birds in the wild for 40 years. This subspecies is nationally and internationally classified as critically endangered and close to extinction, suffering from poaching and deforestation in its range. Here we present new records of free-living individuals made on three indigenous lands in Pará and Maranhão states: in part of Terra Indígena Mãe Maria, Bom Jesus do Tocantins, Pará; in locations within the Reserva Biológica do Gurupi/Terra Indígena Alto Turiaçu, Centro Novo do Maranhão, Maranhão; and around the Terra Indígena Rio Pindaré, Alto Alegre do Pindaré, Maranhão. We also provide recommendations to protect this bird via a dedicated conservation program which includes finding new individuals in non-sampled areas (north of BR-222), estimating population size, enhancing taxonomic and natural history knowledge, capturing wild animals in order to start urgent ex situ conservation programs, and developing environmental awareness programs with the local and indigenous populations

Tomografia de corpo todo no trauma e seus desfechos na mortalidade: uma revisão sistemática: Whole body tomography in trauma and its outcomes in mortality: a systematic review

A tomografia computadorizada de corpo inteiro é altamente sensível e representa o padrão-ouro no cenário de diagnóstico da sala de trauma. WBCT fornece uma ferramenta de diagnóstico rápido, que reduz a mortalidade em pacientes gravemente feridos. A lesão traumática é a terceira principal causa de morte em geral. Para otimizar os resultados nesses pacientes, os hospitais empregam imagens de tomografia computadorizada de corpo inteiro (WBCT) devido ao alto rendimento diagnóstico e potencial para identificar lesões perdidas. No entanto, isso atrasa intervenções de tempo crítico. Atualmente, há uma ausência de qualquer evidência de alto nível para apoiar ou refutar qualquer visão. Uma busca sistemática da literatura foi realizada nas bases de dados MEDLINE, Embase, Web of Science, Cochrane Library e demais bases dedados eletrônicas. As publicações eram elegíveis se contivessem dados originais comparando TC de corpo total imediata em pacientes com trauma e associação com a mortalidade. A análise mostra que a TC está associada a melhores resultados, incluindo uma menor taxa de mortalidade geral, entretanto estudos randomizados e controlados merecem ser realizados para que se possa estabelecer de forma fidedigna essa relação

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

Resumos concluídos - Medicina

Resumos concluídos - Medicin