ANÁLISE DA ABORDAGEM SOBRE A ANEMIA FALCIFORME EM LIVROS DIDÁTICOS DE CIÊNCIAS DA NATUREZA

This work aimed to analyze the Sickle Cell Anemia (SCA) approach in Natural Sciences textbook collections approved in 2021 National Textbook and Teaching Material Program (PNLD) for High School. The focus of these analyses was: the racial discourse associated with SCA and scientific racism; health approaches; and adequacy from a clinical-scientific point of view. To this end, the content analysis proposed by Bardin was adopted, involving textbooks floating reading, the creation or adaptation of categories and indicators for analysis, the material description and the interpreting the data collected. The data was compared with previous analyses of the approach to SCA in biology textbooks from the 2012 and 2015 PNLD. The approach to SCA, when it did occur in the current collections, was linked to natural selection, without focusing on racial issues, and based on a molecular description. There was a silencing of the approach to SCA in relation to the findings of previous research. In addition, biomedical and reductionist approaches to SCA continued to predominate, disregarding socio-political and historical aspects related to the disease.El objetivo de este estudio fue analizar el abordaje de la Anemia Falciforme (AF) en las colecciones de Ciencias Naturales y sus Tecnologías aprobadas en el Programa Nacional de Libros de Texto y Material Didáctico (PNLD) 2021 para la enseñanza media. El foco de ese análisis fue: el discurso racial asociado a la Anemia Falciforme y el racismo científico; los abordajes de salud; y la adecuación del punto de vista clínico-científico. Para ello, se adoptó el análisis de contenido propuesto por Bardin, que implica la lectura flotante de las colecciones, la creación o adaptación de categorías e indicadores para el análisis, la descripción del material y la interpretación de los datos. Los datos se compararon con análisis anteriores sobre el abordaje de la AF en los libros de texto de biología de los PNLD de 2012 y 2015. La aproximación a la AF, cuando se producía en las colecciones actuales, estaba vinculada a la selección natural, sin centrarse en cuestiones raciales, y basada en una descripción molecular. Hubo un silenciamiento del abordaje de la AF en relación a los hallazgos de investigaciones anteriores. Además, siguieron predominando los enfoques biomédicos y reduccionistas de la AF, sin tener en cuenta los aspectos sociopolíticos e históricos relacionados con la enfermedad.Este trabalho objetivou analisar a abordagem sobre a Anemia Falciforme (AF) nas coleções de Ciências da Natureza e Suas Tecnologias aprovadas no Programa Nacional do Livro e do Material Didático (PNLD) de 2021 para o Ensino Médio. Os focos desta análise foram: o discurso racial associado a AF e ao racismo científico; as abordagens de saúde; e a adequação do ponto de vista clínico-científico. Para tanto, adotou-se a análise de conteúdo proposta por Bardin, envolvendo a leitura flutuante das coleções, a criação ou a adaptação de categorias e indicadores para análise, a descrição do material e a interpretação dos dados. Os dados foram comparados com análises anteriores sobre a abordagem da AF em livros didáticos de biologia do PNLD de 2012 e de 2015. A abordagem da AF, quando ocorreu nas coleções atuais, esteve atrelada a seleção natural, sem pautar questões raciais, e a partir de uma descrição molecular. Observou-se um silenciamento na abordagem sobre a AF em relação aos achados de pesquisas anteriores. Além disso, manteve-se a predominância de abordagens biomédicas e reducionistas sobre a AF, desconsiderando aspectos sociopolíticos e históricos relacionados a doença

A inovação do ensino com criação de “usinas virtuais” de energia por meio da eficientização de sistemas de iluminação pública / Innovation in teaching with the creation of virtual power plants through the improvement of efficiency on public lighting systems

Atualmente, são utilizados diversos processos para a geração de energia elétrica, como por exemplo: usinas hidrelétricas, termoelétricas, nucleares, eólicas, solares, entre outras. Também, neste atual cenário, podem-se ressaltar as usinas virtuais, pois estas são responsáveis por disponibilizar energia por meio de ações de eficiência energética. Portanto, este artigo apresenta o direcionamento a esta forma de geração de energia, a qual fica disponibilizada, por alguma ação de eficiência energética, para outro uso na sociedade. A usina virtual apresentada neste trabalho é baseada em pesquisas de ações de eficiências no sistema nacional de iluminação pública por meio do uso de lâmpadas com maior índice de eficiência e maior vida útil, o que permite a disponibilidade de energia a outros setores, reduzindo gastos quanto a investimentos e melhorando os níveis de tensões do sistema elétrico. Com isso, pode-se considerar como uma usina geradora de energia

A inovação do ensino com criação de “usinas virtuais” de energia por meio da eficientização de sistemas de iluminação pública / Innovation in teaching with the creation of virtual power plants through the improvement of efficiency on public lighting systems

Atualmente, são utilizados diversos processos para a geração de energia elétrica, como por exemplo: usinas hidrelétricas, termoelétricas, nucleares, eólicas, solares, entre outras. Também, neste atual cenário, podem-se ressaltar as usinas virtuais, pois estas são responsáveis por disponibilizar energia por meio de ações de eficiência energética. Portanto, este artigo apresenta o direcionamento a esta forma de geração de energia, a qual fica disponibilizada, por alguma ação de eficiência energética, para outro uso na sociedade. A usina virtual apresentada neste trabalho é baseada em pesquisas de ações de eficiências no sistema nacional de iluminação pública por meio do uso de lâmpadas com maior índice de eficiência e maior vida útil, o que permite a disponibilidade de energia a outros setores, reduzindo gastos quanto a investimentos e melhorando os níveis de tensões do sistema elétrico. Com isso, pode-se considerar como uma usina geradora de energia

A ATUAÇÃO DO ENFERMEIRO E DA INTELIGÊNCIA ARTIFICIAL NA ASSISTÊNCIA DO CUIDADO DIRETO: PREVENÇÃO E CUIDADOS COM LPPs AO PACIENTE EM CUIDADOS INTENSIVOS

Objective: to identify the functions of the Nurse in the Intensive Care Unit and the functions of Artificial Intelligence (ChatGPT3) in the face of direct care for patients in intensive care for the prevention and care of PIs. Methodology: the foundation of the research was based on integrative literature research and the collision of the data with the Artificial Intelligence ChatGPT3 from OpenAI.com in a quantitative and qualitative way with the selected data. Results: The performance data of professional nurses in the intensive care unit for coping with artificial intelligence showed, at certain points, signs of reflection and concerns about the arrival of artificial intelligence. Conclusion: The role of the nurse in a scenario with Artificial Intelligence as a partner will require adaptation from the nurse, since, being a machine, it presents high levels of effectiveness and performance, even simulating human action in many processes to a high degree. . Keywords: Artificial Intelligence, Nurse, ChatGPT3Objetivo: identificar as funções do Enfermeiro na Unidade de Terapia Intensiva e o papel da Inteligência Artificial (ChatGPT3) nas condutas e nos cuidados diretos aos pacientes submetidos aos tratamentos intensivos, buscando à prevenção e os cuidados para as LPPs. Metodologia: a fundamentação deste estudo foi feita através da pesquisa integrativa da literatura e utilizou-se a análise dos dados entre Inteligência Artificial ChatGPT3 da OpenAI.com de forma quanti-qualitativa e dos dados selecionados. Resultados: Os dados foram obtidos através da análise da atuação dos profissionais enfermeiros nas unidades de terapia intensiva e da análise da utilização da inteligência artificial nesse cenário. A atuação da Inteligência Artificial neste contexto hospitalar, apresentou certos pontos reflexivos e preocupantes. Conclusão: A atuação do enfermeiro diante de um contexto que utiliza a inteligência Artificial, vai exigir adaptação e aprimoramento constantemente , visto que, como é uma máquina, esta apresenta excelentes níveis de eficiência e eficácia, demonstrando um alto padrão na qualidade dos processos executados, equiparando-se a atuação humana

The AlfaCrux CubeSat mission description and early results

On 1 April 2022, the AlfaCrux CubeSat was launched by the Falcon 9 Transporter-4 mission, the fourth SpaceX dedicated smallsat rideshare program mission, from Space Launch Complex 40 at Cape Canaveral Space Force Station in Florida into a Sun-synchronous orbit at 500 km. AlfaCrux is an amateur radio and educational mission to provide learning and scientific benefits in the context of small satellite missions. It is an opportunity for theoretical and practical learning about the technical management, systems design, communication, orbital mechanics, development, integration, and operation of small satellites. The AlfaCrux payload, a software-defined radio hardware, is responsible for two main services, which are a digital packet repeater and a store-and-forward system. In the ground segment, a cloud-computing-based command and control station has been developed, together with an open access online platform to access and visualize the main information of the AlfaCrux telemetry and user data and experiments. It also becomes an in-orbit database reference to be used for different studies concerned with, for instance, radio propagation, attitude reconstruction, data-driven calibration algorithms for satellite sensors, among others. In this context, this paper describes the AlfaCrux mission, its main subsystems, and the achievements obtained in the early orbit phase. Scientific and engineering assessments conducted with the spacecraft operations to tackle unexpected behaviors in the ground station and also to better understand the space environment are also presented and discussed.Fundação de Apoio à Pesquisa del Distrito Federal (FAPDF), Brasil | Ref. N/

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

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