Avaliação das Condições Higiênicossanitárias dos Estabelecimentos Comercializadores de Pescado da Cidade de Sobral - CE

Public markets provide a wide range of food products in which the hygienic and sanitary conditions of food marketed when unsatisfactory may aggravate serious health risks to the consumer. The objective of this work was to evaluate the temperature of the fish and the hygienic-sanitary conditions of the fish merchants in the public market of the city of Sobral-CE. The research was carried out during the months of september and october of 2016. Four boxes of fish sales were evaluated. In each box of fish sales the fish display temperature was checked as well as a checklist of Good Food Handling Practices based on RDC No. 216 of September 15, 2004. The temperatures of the fish that were measured during four weeks, were above the limit allowed by the legislation, and could pose risks to consumers' health. All boxes were classified in group 3 (group that served from 0 to 50% of applicable checklist items). Therefore, measures such as the implementation of good practices from fishing to the establishments where they are benefited can minimize potential contamination.Os mercados públicos disponibilizam de uma ampla variedade de produtos alimentícios, nas quais as condições higiênico-sanitárias dos alimentos comercializados quando insatisfatórias podem agravar sérios riscos para a saúde do consumidor. O objetivo desse trabalho foi avaliar a temperatura dos pescados e as condições higiênico-sanitárias dos estabelecimentos comercializadores de pescado no mercado público da cidade de Sobral-CE. A pesquisa foi realizada durante os meses de setembro e outubro de 2016. Foram avaliados quatro boxes de venda de pescados. Em cada boxe de venda de pescado foi verificada a temperatura de exposição dos pescados bem como se aplicou uma lista de verificação de Boas Práticas de Manipulação de alimentos baseada na RDC nº216 de 15 de setembro de 2004. As temperaturas dos pescados que foram aferidas durante quatro semanas, encontravam-se acima do limite permitido pela legislação, podendo oferecer riscos à saúde dos consumidores. Todos os boxes classificaram-se no grupo 3 (grupo que atendia de 0 a 50% dos itens aplicáveis da lista de verificação). Portanto, medidas como a implantação de boas práticas desde a pesca até os estabelecimentos onde são beneficiados podem minimizar possíveis contaminações

Alcoolismo em pacientes submetidos a cirurgia bariátrica: uma revisão sistemática: Alcoholism in patients undergoing bariatric surgery: a systematic review

A Cirurgia bariátrica tem sido uma opção de muitas pessoas que visam superar a obesidade e garantir qualidade de vida e saúde. No entanto, casos de complicações clínicas após operação tem ocorrido, sendo comum a incidência de alcoolismo. Este estudo teve como objetivo refletir sobre as causas da incidência de alcoolismo entre pacientes que foram submetidos a cirurgias bariátricas. Para o alcance dessa finalidade, realizou-se uma revisão sistemática de literatura, selecionando-se fontes das bases de dados Scielo Brasil, PubMed e Biblioteca Virtual em Saúde (BVS), publicados em língua portuguesa, nos anos de 2017 a 2022. Realizando-se a análise dos dados concluiu-se que o transtorno do uso de álcool em pessoas submetidas à cirurgia bariátrica tem sido recorrente, especialmente entre homens de baixa renda e que fizeram a cirurgia do tipo bypass gástrico. Observou-se também que o consumo de álcool é maior no pós-operatório e que boa parte dos pacientes que se submeteu a esse tipo de cirurgia ignorava o risco de desenvolver o referido transtorno. Em função disso, boa parte dos estudos que integraram esta revisão reconhece a necessidade do acompanhamento, pela equipe de saúde, dos pacientes logo após a cirurgia bariátrica e a adesão desses ao tratamento devido, visando prevenir o transtorno do uso de álcool

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

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

NEOTROPICAL XENARTHRANS: a data set of occurrence of xenarthran species in the Neotropics

Xenarthrans—anteaters, sloths, and armadillos—have essential functions for ecosystem maintenance, such as insect control and nutrient cycling, playing key roles as ecosystem engineers. Because of habitat loss and fragmentation, hunting pressure, and conflicts with domestic dogs, these species have been threatened locally, regionally, or even across their full distribution ranges. The Neotropics harbor 21 species of armadillos, 10 anteaters, and 6 sloths. Our data set includes the families Chlamyphoridae (13), Dasypodidae (7), Myrmecophagidae (3), Bradypodidae (4), and Megalonychidae (2). We have no occurrence data on Dasypus pilosus (Dasypodidae). Regarding Cyclopedidae, until recently, only one species was recognized, but new genetic studies have revealed that the group is represented by seven species. In this data paper, we compiled a total of 42,528 records of 31 species, represented by occurrence and quantitative data, totaling 24,847 unique georeferenced records. The geographic range is from the southern United States, Mexico, and Caribbean countries at the northern portion of the Neotropics, to the austral distribution in Argentina, Paraguay, Chile, and Uruguay. Regarding anteaters, Myrmecophaga tridactyla has the most records (n = 5,941), and Cyclopes sp. have the fewest (n = 240). The armadillo species with the most data is Dasypus novemcinctus (n = 11,588), and the fewest data are recorded for Calyptophractus retusus (n = 33). With regard to sloth species, Bradypus variegatus has the most records (n = 962), and Bradypus pygmaeus has the fewest (n = 12). Our main objective with Neotropical Xenarthrans is to make occurrence and quantitative data available to facilitate more ecological research, particularly if we integrate the xenarthran data with other data sets of Neotropical Series that will become available very soon (i.e., Neotropical Carnivores, Neotropical Invasive Mammals, and Neotropical Hunters and Dogs). Therefore, studies on trophic cascades, hunting pressure, habitat loss, fragmentation effects, species invasion, and climate change effects will be possible with the Neotropical Xenarthrans data set. Please cite this data paper when using its data in publications. We also request that researchers and teachers inform us of how they are using these data

NEOTROPICAL CARNIVORES: a data set on carnivore distribution in the Neotropics

Mammalian carnivores are considered a key group in maintaining ecological health and can indicate potential ecological integrity in landscapes where they occur. Carnivores also hold high conservation value and their habitat requirements can guide management and conservation plans. The order Carnivora has 84 species from 8 families in the Neotropical region: Canidae; Felidae; Mephitidae; Mustelidae; Otariidae; Phocidae; Procyonidae; and Ursidae. Herein, we include published and unpublished data on native terrestrial Neotropical carnivores (Canidae; Felidae; Mephitidae; Mustelidae; Procyonidae; and Ursidae). NEOTROPICAL CARNIVORES is a publicly available data set that includes 99,605 data entries from 35,511 unique georeferenced coordinates. Detection/non-detection and quantitative data were obtained from 1818 to 2018 by researchers, governmental agencies, non-governmental organizations, and private consultants. Data were collected using several methods including camera trapping, museum collections, roadkill, line transect, and opportunistic records. Literature (peer-reviewed and grey literature) from Portuguese, Spanish and English were incorporated in this compilation. Most of the data set consists of detection data entries (n = 79,343; 79.7%) but also includes non-detection data (n = 20,262; 20.3%). Of those, 43.3% also include count data (n = 43,151). The information available in NEOTROPICAL CARNIVORES will contribute to macroecological, ecological, and conservation questions in multiple spatio-temporal perspectives. As carnivores play key roles in trophic interactions, a better understanding of their distribution and habitat requirements are essential to establish conservation management plans and safeguard the future ecological health of Neotropical ecosystems. Our data paper, combined with other large-scale data sets, has great potential to clarify species distribution and related ecological processes within the Neotropics. There are no copyright restrictions and no restriction for using data from this data paper, as long as the data paper is cited as the source of the information used. We also request that users inform us of how they intend to use the data