IMPACTO DA COVID-19 NOS SERVIÇOS DE SÁUDE E SUAS CONSEQUÊNCIAS PARA AS GESTANTES

During the pandemic of the COVID-19 several factors provided higher risks for pregnant women, which could negatively interfere in the ongoing pregnancies. This study aims to reflect on the impacts of the pandemic of COVID-19 caused in the health of pregnant women, related to the physical and psychological impacts and changes in prenatal care, as well as the changes made in maternity hospitals due to social distance. This is a methodology with a literature review based on scientific articles published during the pandemic period. In view of the records analyzed it was observed that the pandemic of COVID-19 brought difficulties in the scope of health services, directed to pregnant women.Durante la pandemia del COVID-19 varios factores proporcionaron mayores riesgos para las mujeres embarazadas, lo que podría interferir negativamente en los embarazos en curso. Este estudio tiene como objetivo reflexionar sobre los impactos de la pandemia de COVID-19 causados en la salud de las mujeres embarazadas, relacionados con los impactos físicos y psicológicos y los cambios en la atención prenatal, así como los cambios realizados en las maternidades debido a la distancia social. Se trata de una metodología con una revisión bibliográfica basada en artículos científicos publicados en el periodo de la pandemia. Frente a los registros analizados se observó que la pandemia de COVID-19 trajo dificultades en el contexto de los servicios de salud, dirigidos a las mujeres embarazadas.Durante a pandemia da COVID-19 diversos fatores proporcionaram riscos mais elevados para as gestantes, podendo interferir negativamente nas gestações em curso. Esse estudo tem como objetivo refletir sobre os impactos da pandemia da COVID-19 causados na saúde das gestantes, relacionado aos impactos fisicos, psicológicos e mudanças no pré-natal, como também as modificações feitas nas maternidades devido ao distanciamento social. Trata-se de uma metodologia com revisão literária baseada em artigos científicos publicados no período pandêmico. Diante dos registros analisados, foi observado que a pandemia da COVID-19 trouxe dificuldades no âmbito dos serviços de saúde, direcionadas às gestantes.Durante a pandemia da COVID-19 diversos fatores proporcionaram riscos mais elevados para as gestantes, podendo interferir negativamente nas gestações em curso. Esse estudo tem como objetivo refletir sobre os impactos da pandemia da COVID-19 causados na saúde das gestantes, relacionado aos impactos fisicos, psicológicos e mudanças no pré-natal, como também as modificações feitas nas maternidades devido ao distanciamento social. Trata-se de uma metodologia com revisão literária baseada em artigos científicos publicados no período pandêmico. Diante dos registros analisados foi observado que a pandemia da COVID-19 trouxe dificuldades no âmbito dos serviços de saúde, direcionadas às gestantes

EMPREENDEDORISMO NA ENFERMAGEM: UMA NECESSIDADE DE INOVAÇÃO NOS CUIDADOS EM SAÚDE E A VISIBILIDADE PROFISSIONAL

The present study aims to identify which entrepreneurial practices can be adopted by nurses, showing through scientific research that in addition to care, nurses have a range of specialties that strengthen their professional autonomy, emphasizing that nurses have sufficient capacity to undertake successfully.El presente estudio tiene como objetivo identificar qué prácticas emprendedoras pueden ser adoptadas por las enfermeras, demostrando a través de la investigación científica que además de la atención, las enfermeras tienen una gama de especialidades que fortalecen su autonomía profesional, enfatizando que las enfermeras tienen la capacidad suficiente para emprender con éxito.O presente estudo tem por finalidade identificar quais as práticas empreendedoras podem ser adotadas por enfermeiros, demostrando por meio de pesquisas científicas que além de assistencial, o enfermeiro possui uma gama de especialidades que fortalecem sua autonomia profissional, colocando em ênfase assim que o enfermeiro possui capacidade suficiente para empreender com sucesso.O presente estudo tem por finalidade identificar quais as práticas empreendedoras podem ser adotadas por enfermeiros, demostrando por meio de pesquisas científicas que além de assistencial, o enfermeiro possui uma gama de especialidades que fortalecem sua autonomia profissional, colocando em ênfase assim que o enfermeiro possui capacidade suficiente para empreender com sucesso

A ATUAÇÃO DA ENFERMAGEM OBSTÉTRICA NO PRÉ NATAL EM AMBIENTE PRISIONAL

This paper discusses the role of nurses in prenatal care in women deprived of liberty, being possible to realize that the nurse is of paramount importance within the private prison system to ensure safety and well-being for the mother and fetus. The CNJ (National Council of Justice) found that it is a service that still needs to go through several changes due to the precarious service that is provided, since women in situations of freedom have the right to go to a Basic Health Unit and be accompanied by a health professional, while women who live in the prison system depend on the professional to go to them, which often does not occur or happens with difficulties.En este trabajo se discute el papel de las enfermeras en la atención prenatal en las mujeres privadas de libertad, siendo posible darse cuenta de que la enfermera es de suma importancia dentro del sistema penitenciario privado para garantizar la seguridad y el bienestar para la madre y el feto. El CNJ (Consejo Nacional de Justicia) constató que se trata de un servicio que aún necesita varios cambios debido a la precariedad del servicio que se presta, ya que las mujeres en situación de libertad tienen derecho a ir a una Unidad Básica de Salud y a ser acompañadas por un profesional de la salud, mientras que las mujeres que viven en el sistema penitenciario dependen de que el profesional vaya hasta ellas, lo que muchas veces no ocurre o sucede con dificultades.O presente trabalho aborda sobre a atuação do enfermeiro no pré-natal em mulheres privadas de liberdade, sendo possivel perceber que o enfermeiro é de suma importância dentro do sistema de cárcere privado para garantir segurança e bem-estar para a mãe e o feto. Sendo constatado, por meio do CNJ (Conselho Nacional de Justiça) que é um serviço que ainda necessita passar por várias mudanças devido ao serviço precário que é prestado, já que as mulheres em situação de liberdade possuem o direito de ir a uma Unidade Básica de Saúde e serem acompanhadas por um profissional de saúde, enquanto as mulheres que vivem no sistema prisional dependem de o profissional ir até elas, o que por muitas vezes não ocorre ou acontece com dificuldades.O presente trabalho aborda sobre a atuação do enfermeiro no pré-natal em mulheres privadas de liberdade, sendo possivel perceber que o enfermeiro é de suma importância dentro do sistema de cárcere privado para garantir segurança e bem-estar para a mãe e o feto. Sendo constatado, por meio do CNJ (Conselho Nacional de Justiça) que é um serviço que ainda necessita passar por várias mudanças devido ao serviço precário que é prestado, já que as mulheres em situação de liberdade possuem o direito de ir a uma Unidade Básica de Saúde e serem acompanhadas por um profissional de saúde, enquanto as mulheres que vivem no sistema prisional dependem de o profissional ir até elas, o que por muitas vezes não ocorre ou acontece com dificuldades

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

Catálogo Taxonômico da Fauna do Brasil: setting the baseline knowledge on the animal diversity in Brazil

The limited temporal completeness and taxonomic accuracy of species lists, made available in a traditional manner in scientific publications, has always represented a problem. These lists are invariably limited to a few taxonomic groups and do not represent up-to-date knowledge of all species and classifications. In this context, the Brazilian megadiverse fauna is no exception, and the Catálogo Taxonômico da Fauna do Brasil (CTFB) (http://fauna.jbrj.gov.br/), made public in 2015, represents a database on biodiversity anchored on a list of valid and expertly recognized scientific names of animals in Brazil. The CTFB is updated in near real time by a team of more than 800 specialists. By January 1, 2024, the CTFB compiled 133,691 nominal species, with 125,138 that were considered valid. Most of the valid species were arthropods (82.3%, with more than 102,000 species) and chordates (7.69%, with over 11,000 species). These taxa were followed by a cluster composed of Mollusca (3,567 species), Platyhelminthes (2,292 species), Annelida (1,833 species), and Nematoda (1,447 species). All remaining groups had less than 1,000 species reported in Brazil, with Cnidaria (831 species), Porifera (628 species), Rotifera (606 species), and Bryozoa (520 species) representing those with more than 500 species. Analysis of the CTFB database can facilitate and direct efforts towards the discovery of new species in Brazil, but it is also fundamental in providing the best available list of valid nominal species to users, including those in science, health, conservation efforts, and any initiative involving animals. The importance of the CTFB is evidenced by the elevated number of citations in the scientific literature in diverse areas of biology, law, anthropology, education, forensic science, and veterinary science, among others

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

Predicting Days to Maturity, Plant Height, and Grain Yield in Soybean: A Machine and Deep Learning Approach Using Multispectral Data

In soybean, there is a lack of research aiming to compare the performance of machine learning (ML) and deep learning (DL) methods to predict more than one agronomic variable, such as days to maturity (DM), plant height (PH), and grain yield (GY). As these variables are important to developing an overall precision farming model, we propose a machine learning approach to predict DM, PH, and GY for soybean cultivars based on multispectral bands. The field experiment considered 524 genotypes of soybeans in the 2017/2018 and 2018/2019 growing seasons and a multitemporal–multispectral dataset collected by embedded sensor in an unmanned aerial vehicle (UAV). We proposed a multilayer deep learning regression network, trained during 2000 epochs using an adaptive subgradient method, a random Gaussian initialization, and a 50% dropout in the first hidden layer for regularization. Three different scenarios, including only spectral bands, only vegetation indices, and spectral bands plus vegetation indices, were adopted to infer each variable (PH, DM, and GY). The DL model performance was compared against shallow learning methods such as random forest (RF), support vector machine (SVM), and linear regression (LR). The results indicate that our approach has the potential to predict soybean-related variables using multispectral bands only. Both DL and RF models presented a strong (r surpassing 0.77) prediction capacity for the PH variable, regardless of the adopted input variables group. Our results demonstrated that the DL model (r = 0.66) was superior to predict DM when the input variable was the spectral bands. For GY, all machine learning models evaluated presented similar performance (r ranging from 0.42 to 0.44) for each tested scenario. In conclusion, this study demonstrated an efficient approach to a computational solution capable of predicting multiple important soybean crop variables based on remote sensing data. Future research could benefit from the information presented here and be implemented in subsequent processes related to soybean cultivars or other types of agronomic crops

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