Aplicação das Técnicas de Projeto Instrucional 4C/ID na Produção de Objetos de Aprendizagem em Conformidade com o SCORM Usando um Software Livre como Ferramenta de Autoria

Esse artigo apresenta um estudo de caso de confecção de material instrucional para um curso ilustrando as possibilidades de sequenciamento das atividades com a especificação SCORM. Para autoria desse curso foi utilizada a ferramenta MOS Solo, ebaseado no método 4C/ID para o projeto instrucional do conteúdo

Validação de indicadores de qualidade do cuidado cirúrgico no Sistema Único de Saúde

OBJETIVO: Validar um conjunto de indicadores para monitoramento da qualidade dos procedimentos cirúrgicos no Sistema Único de Saúde (SUS). MÉTODOS: Estudo de validação desenvolvido em 5 etapas: 1) revisão de literatura; 2) priorização de indicadores; 3) validação de conteúdo dos indicadores por método de consenso RAND/UCLA; 4) estudo piloto para análise da confiabilidade; e 5) desenvolvimento de instrutivo para tabulação dos indicadores de resultado para monitoramento via sistemas de informações oficiais. RESULTADOS: A partir da revisão de literatura, foram identificados 217 indicadores de qualidade cirúrgica. Os indicadores excluídos foram: indicadores baseados em evidências científicas inferiores a 1A, similares, específicos, que correspondiam a eventos sentinelas; e aqueles que não se aplicavam ao contexto do SUS. Foram submetidos ao consenso de especialistas 26 indicadores com alto nível de evidência científica. Foram validados 22 indicadores, dos quais 14 indicadores de processo e 8 indicadores de resultado com índice de validação de conteúdo ≥80%. Dos indicadores de processo validados, 6 foram considerados confiáveis substancialmente (Coeficiente de Kappa entre 0,6 e 0,8; p < 0,05) e 2 tiveram confiabilidade quase perfeita (coeficiente de Kappa > 0,8, p < 0,05), quando analisada a concordância interavaliador. Foi possível mensurar e estabelecer mecanismo de tabulação para TabWin para 7 indicadores de resultado. CONCLUSÃO: O estudo contribui com o desenvolvimento de um conjunto de indicadores cirúrgicos potencialmente eficazes para o monitoramento da qualidade do cuidado e segurança do paciente nos serviços hospitalares do SUS.OBJECTIVE: To validate a set of indicators for monitoring the quality of surgical procedures in the Unified Health System (SUS). METHODS: Validation study developed in 5 stages: 1) literature review; 2) prioritization of indicators; 3) content validation of indicators by RAND/UCLA consensus method; 4) pilot study for reliability analysis; and 5) development of instruction for tabulation of outcome indicators for monitoring via official information systems. RESULTS: From the literature review, 217 indicators of surgical quality were identified. The excluded indicators were: those based on scientific evidence lower than 1A, similar, specific, which corresponded to sentinel events; and those that did not apply to the SUS context. Twenty-six indicators with a high level of scientific evidence were submitted to expert consensus. Twenty-two indicators were validated, of which 14 process indicators and 8 outcome indicators with content validation index ≥80%. Of the validated process indicators, 6 were considered substantially reliable (Kappa coefficient between 0.6 and 0.8; p < 0.05) and 2 had almost perfect reliability (Kappa coefficient > 0.8, p < 0.05), when the inter-rater agreement was analyzed. One could measure and establish tabulation mechanism for TabWin for 7 outcome indicators. CONCLUSION: The study contributes to the development of a set of potentially effective surgical indicators for monitoring the quality of care and patient safety in SUS hospital services

Avaliação da produção de anticorpos específicos em equinos imunizados com vacina de DNA

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The first 62 AGNs observed with SDSS-IV MaNGA : I. Their characterization and definition of a control sample

We report the characterization of the first 62 Mapping Nearby Galaxies at the Apache Point Observatory active galactic nuclei (AGNs) hosts and the definition of a control sample of non-active galaxies. This control sample was selected in order to match the AGN hosts in terms of stellar mass, redshift, visual morphology and inclination. The stellar masses are in the range 9.4 < log M/M < 11.5, and most objects have redshifts ≤0.08. The AGN sample is mostly comprised low-luminosity AGN, with only 17 ‘strong AGN’ with L([O III]λ5007 Å) ≥ 3.8 × 1040 erg s−1. The inner 1–3 kpc of the control sample galaxies are dominated by the oldest (≥ 4Gyr) component, with a small contribution of intermediate age and young stars (<940 Myr). Examining the relationship between the stellar population properties and L([O III]), we find that with increasing L([O III]), the AGN exhibit a decreasing contribution from the oldest stellar population relative to control galaxies and an increasing contribution from the younger components (∼40 Myr).We also find a correlation of the mean age differences (AGN–control) with L([O III]), in the sense that more luminous AGNs are younger than the control objects, while the low-luminosity AGNs are older. These results support a connection between the growth of the galaxy bulge via formation of new stars and the growth of the Supermassive Black Hole via accretion in the AGN phase

Natural Selection Fails to Optimize Mutation Rates for Long-Term Adaptation on Rugged Fitness Landscapes

The rate of mutation is central to evolution. Mutations are required for adaptation, yet most mutations with phenotypic effects are deleterious. As a consequence, the mutation rate that maximizes adaptation will be some intermediate value. Here, we used digital organisms to investigate the ability of natural selection to adjust and optimize mutation rates. We assessed the optimal mutation rate by empirically determining what mutation rate produced the highest rate of adaptation. Then, we allowed mutation rates to evolve, and we evaluated the proximity to the optimum. Although we chose conditions favorable for mutation rate optimization, the evolved rates were invariably far below the optimum across a wide range of experimental parameter settings. We hypothesized that the reason that mutation rates evolved to be suboptimal was the ruggedness of fitness landscapes. To test this hypothesis, we created a simplified landscape without any fitness valleys and found that, in such conditions, populations evolved near-optimal mutation rates. In contrast, when fitness valleys were added to this simple landscape, the ability of evolving populations to find the optimal mutation rate was lost. We conclude that rugged fitness landscapes can prevent the evolution of mutation rates that are optimal for long-term adaptation. This finding has important implications for applied evolutionary research in both biological and computational realms

Cuidado Integral: aconselhamento para o sucesso do aleitamento materno

INTRODUCTION: Breast milk is the complete food for the baby, it is recommended by the WHO (World Health Organization) that it be offered exclusively up to 6 months for the child and suggests that it be offered up to two years of age for the child. OBJECTIVES: To highlight the importance of counseling for successful breastfeeding METHODS: Integrative review, based on the question: "What is the importance of counseling for successful breastfeeding?" through articles in Portuguese and English, published in the period from 2018 to 2023, originating from the databases MEDLINE, BDENF- Enfermagem, LILACS. Data collection was carried out in August 2023 RESULTS: The sample consisted of 9 articles, which denoted a nucleus: Challenges faced during the period of breastfeeding CONCLUSION: It is understood that there should be greater concern during the prenatal and postpartum period regarding the counseling of the breastfeeding process, the health professional should instruct the mother, giving the necessary information about breastfeeding and the difficulties faced.INTRODUÇÃO: O leite materno é o alimento completo para o bebê, é recomendado pela OMS (organização Mundial de Saúde), que ele seja ofertado exclusivamente até os 6 meses para a criança, e sugere que seja oferecido até os dois anos de idade para a criança. OBJETIVOS: Evidenciar a importância do aconselhamento para o sucesso do aleitamento materno. MÉTODOS: Revisão integrativa, realizada com base na pergunta norteadora: "Qual a importância do aconselhamento no sucesso do aleitamento materno?”, através de artigos em língua portuguesa e inglesa, publicados no período de 2018 a 2023, originados das bases de dados MEDLINE, BDENF-Enfermagem, LILACS. Realizou-se a coleta de dados em agosto de 2023 RESULTADOS: A amostra foi constituída por 9 artigos, que denotaram um núcleo: Desafios enfrentados durante o período de aleitamento materno. CONCLUSÃO: Entende-se que, deve haver uma maior preocupação durante o pré-natal e puerpério quanto ao aconselhamento do processo de aleitamento materno, o profissional de saúde deve instruir a mãe, dando as devidas informações sobre a amamentação e as dificuldades enfrentadas

Global transpiration data from sap flow measurements : the SAPFLUXNET database

Plant transpiration links physiological responses of vegetation to water supply and demand with hydrological, energy, and carbon budgets at the land-atmosphere interface. However, despite being the main land evaporative flux at the global scale, transpiration and its response to environmental drivers are currently not well constrained by observations. Here we introduce the first global compilation of whole-plant transpiration data from sap flow measurements (SAPFLUXNET, https://sapfluxnet.creaf.cat/, last access: 8 June 2021). We harmonized and quality-controlled individual datasets supplied by contributors worldwide in a semi-automatic data workflow implemented in the R programming language. Datasets include sub-daily time series of sap flow and hydrometeorological drivers for one or more growing seasons, as well as metadata on the stand characteristics, plant attributes, and technical details of the measurements. SAPFLUXNET contains 202 globally distributed datasets with sap flow time series for 2714 plants, mostly trees, of 174 species. SAPFLUXNET has a broad bioclimatic coverage, with woodland/shrubland and temperate forest biomes especially well represented (80 % of the datasets). The measurements cover a wide variety of stand structural characteristics and plant sizes. The datasets encompass the period between 1995 and 2018, with 50 % of the datasets being at least 3 years long. Accompanying radiation and vapour pressure deficit data are available for most of the datasets, while on-site soil water content is available for 56 % of the datasets. Many datasets contain data for species that make up 90 % or more of the total stand basal area, allowing the estimation of stand transpiration in diverse ecological settings. SAPFLUXNET adds to existing plant trait datasets, ecosystem flux networks, and remote sensing products to help increase our understanding of plant water use, plant responses to drought, and ecohydrological processes. SAPFLUXNET version 0.1.5 is freely available from the Zenodo repository (https://doi.org/10.5281/zenodo.3971689; Poyatos et al., 2020a). The "sapfluxnetr" R package - designed to access, visualize, and process SAPFLUXNET data - is available from CRAN.Peer reviewe

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