Mudança no processo que envolve escalas de folgas de auxiliares de enfermagem

Descrever a implantação de um novo processo de gerenciamento das escalas de folgas dos auxiliares de enfermagem de uma unidade de internação de um hospital universitário é o objetivo deste trabalho. São apresentados a realidade anterior à proposta, quando as folgas eram distribuídas ao longo da semana; os motivos que levaram à proposição do novo método e o funcionamento da nova escala, com folgas em finais de semana e feriados. Entre os benefícios já observados incluem-se: número maior de profissionais trabalhando nos dias de maior fluxo de trabalho; mais tempo de lazer dos trabalhadores com suas famílias; maior integração pessoal e profissional do grupo; escalas organizadas por um ano, o que permite ao funcionário planejar suas férias, folgas e estudos; e maior satisfação com o trabalho, com a nova escala sendo considerada uma conquista profissional

Desenvolvimento de um sistema para recomendação de calagem e adubação para as culturas de grãos

The recommendations of liming and fertilization for the different crops in the main producing regions of the country are based on the knowledge generated by researchers in the area of soil science. Interpretation tables for nutrient contents in the soil and tables with the amount of nitrogen, phosphorus and potassium were elaborated for the different manuals published in some states / regions. Under the name of AGROFERT, a WEB system was created that aims to integrate the information of the correction and fertilizer recommendation systems for the states of Rio Grande do Sul / Santa Catarina and Paraná for the main grain crops and to evaluate the evolution of the characteristics of the soil. The system has a consistent scientific basis, allowing for more comprehensive recommendations that can be continually improved. To date, different existing computerized recommendation systems are specific to a single state / region and provide simpler information. The Agrofert system saves time, since its use does not require calculating, correcting and writing recommendations by the traditional method (Manual)As recomendações de calagem e adubação para as diferentes culturas nas principais regiões produtoras do País fundamentam-se no conhecimento gerado por pesquisadores da área de ciências do solo. Tabelas de interpretação para os teores de nutrientes no solo e tabelas com as quantidade de nitrogênio, fósforo e potássio foram elaboradas para os diferentes manuais publicados em alguns estados/regiões. Sob a designação de AGROFERT, foi criado um sistema WEB que tem como objetivo integrar as informações dos sistemas de recomendação de corretivos e fertilizantes para os estados do Rio Grande do Sul/Santa Catariana e Paraná para as principais culturas de grãos e avaliar as evolução das características químicas do solo. O sistema apresenta uma base científica consistente, permitindo recomendações mais abrangentes e passíveis de contínuo aperfeiçoamento. Até o momento os diferentes sistemas de recomendação informatizados existentes são específicos para um único estado/região e trazem informações mais simplórias. O sistema Agrofert possibilita uma economia de tempo, pois seu uso dispensa calcular, corrigir e redigir recomendações pelo método tradicional (Manual)

Modelagem para recomendação de calagem e adubação para as principais regiões produtoras de grãos do Brasil na linguagem SQL

The agribusiness has a significant importance to the Brazilian economy. In this case, technologies are needed to increase the efficiency of the productive system, but there are few technological tools that perform interpretations of soil analysis and fertilizer recommendations efficiently and comprehensively. In this context, the AgroFert system proposes to make corrective and fertilizer recommendations based on soil analyzes for several regions and grain crops of Brazil, through two systems: web and mobile, which uses a knowledge base in liming and fertilization. Therefore, this work aims at presenting the conceptual and logical modeling process of a database that have rules of information management to interpret the results of soil analysis reports and to recommend soil correctives and fertilizers. Rules were created that use comparisons, filtering, mathematical operations and logical operations, modeled in the SQL language, and when executed, generate interpretations of soil analysis and recommendations for correctives and fertilizers. The AgroFert covers the states of Rio Grande do Sul, Santa Catarina, Paraná, Minas Gerais and São Paulo and the biome of Cerrado. In addition to the conceptual modeling, 22 operations were created, totaling approximately 400 lines of code, and it was possible to recommend fertilizers for 13 grain crops. The results of the tests showed that the computerization of the data present in the RS / SC and Paraná manuals facilitated the interpretation of the data present in soil analysis reports, besides increasing the precision and agility in the recommendations of corrective and fertilizer producers.Diante da importância do agronegócio para a economia brasileira, são necessárias tecnologias que busquem aumentar a eficiência do sistema produtivo, mas existem poucas ferramentas tecnológicas que realizam interpretações de análises de solo e recomendações de fertilizantes de forma eficiente e abrangente. Neste contexto, o sistema AgroFert propõe-se a realizar recomendações de corretivos e fertilizantes com base em análises de solo para diversas regiões e culturas de grãos do Brasil, através de dois sistemas: web e móvel, que utilizam uma base de conhecimento em manuais de recomendação de calagem e adubação. Portanto, este trabalho tem como objetivo apresentar o processo de modelagem conceitual e lógica de um banco de dados que possui regras de gerenciamento das informações nele contidas para interpretar os resultados de laudos de análise de solo e recomendar corretivos de solo e fertilizantes. Foram criadas regras que utilizam comparações, filtragens, operações matemáticas e operações lógicas, modeladas na linguagem SQL, e que quando executadas, geram interpretações de análises de solo e recomendações de corretivos e fertilizantes. O AgroFert abrange os estados Rio Grande do Sul, Santa Catarina, Paraná, Minas Gerais e São Paulo e o bioma do Cerrado. Além da modelagem conceitual, foram criadas 22 operações, totalizando aproximadamente 400 linhas de código, sendo possível recomendar fertilizantes para 13 culturas de grãos. Os resultados dos testes realizados demonstraram que a informatização dos dados presentes nos manuais do RS/SC e do Paraná facilitaram a interpretação dos dados presentes em laudos de análise de solo, além de aumentar a precisão e agilidade nos processos de recomendação de corretivos e fertilizantes pelos produtores

Long-term thermal sensitivity of Earth’s tropical forests

The sensitivity of tropical forest carbon to climate is a key uncertainty in predicting global climate change. Although short-term drying and warming are known to affect forests, it is unknown if such effects translate into long-term responses. Here, we analyze 590 permanent plots measured across the tropics to derive the equilibrium climate controls on forest carbon. Maximum temperature is the most important predictor of aboveground biomass (−9.1 megagrams of carbon per hectare per degree Celsius), primarily by reducing woody productivity, and has a greater impact per °C in the hottest forests (>32.2°C). Our results nevertheless reveal greater thermal resilience than observations of short-term variation imply. To realize the long-term climate adaptation potential of tropical forests requires both protecting them and stabilizing Earth’s climate

Geographic patterns of tree dispersal modes in Amazonia and their ecological correlates

Aim: To investigate the geographic patterns and ecological correlates in the geographic distribution of the most common tree dispersal modes in Amazonia (endozoochory, synzoochory, anemochory and hydrochory). We examined if the proportional abundance of these dispersal modes could be explained by the availability of dispersal agents (disperser-availability hypothesis) and/or the availability of resources for constructing zoochorous fruits (resource-availability hypothesis). Time period: Tree-inventory plots established between 1934 and 2019. Major taxa studied: Trees with a diameter at breast height (DBH) ≥ 9.55 cm. Location: Amazonia, here defined as the lowland rain forests of the Amazon River basin and the Guiana Shield. Methods: We assigned dispersal modes to a total of 5433 species and morphospecies within 1877 tree-inventory plots across terra-firme, seasonally flooded, and permanently flooded forests. We investigated geographic patterns in the proportional abundance of dispersal modes. We performed an abundance-weighted mean pairwise distance (MPD) test and fit generalized linear models (GLMs) to explain the geographic distribution of dispersal modes. Results: Anemochory was significantly, positively associated with mean annual wind speed, and hydrochory was significantly higher in flooded forests. Dispersal modes did not consistently show significant associations with the availability of resources for constructing zoochorous fruits. A lower dissimilarity in dispersal modes, resulting from a higher dominance of endozoochory, occurred in terra-firme forests (excluding podzols) compared to flooded forests. Main conclusions: The disperser-availability hypothesis was well supported for abiotic dispersal modes (anemochory and hydrochory). The availability of resources for constructing zoochorous fruits seems an unlikely explanation for the distribution of dispersal modes in Amazonia. The association between frugivores and the proportional abundance of zoochory requires further research, as tree recruitment not only depends on dispersal vectors but also on conditions that favour or limit seedling recruitment across forest types

Geography and ecology shape the phylogenetic composition of Amazonian tree communities

AimAmazonia hosts more tree species from numerous evolutionary lineages, both young and ancient, than any other biogeographic region. Previous studies have shown that tree lineages colonized multiple edaphic environments and dispersed widely across Amazonia, leading to a hypothesis, which we test, that lineages should not be strongly associated with either geographic regions or edaphic forest types.LocationAmazonia.TaxonAngiosperms (Magnoliids; Monocots; Eudicots).MethodsData for the abundance of 5082 tree species in 1989 plots were combined with a mega-phylogeny. We applied evolutionary ordination to assess how phylogenetic composition varies across Amazonia. We used variation partitioning and Moran's eigenvector maps (MEM) to test and quantify the separate and joint contributions of spatial and environmental variables to explain the phylogenetic composition of plots. We tested the indicator value of lineages for geographic regions and edaphic forest types and mapped associations onto the phylogeny.ResultsIn the terra firme and várzea forest types, the phylogenetic composition varies by geographic region, but the igapó and white-sand forest types retain a unique evolutionary signature regardless of region. Overall, we find that soil chemistry, climate and topography explain 24% of the variation in phylogenetic composition, with 79% of that variation being spatially structured (R2 = 19% overall for combined spatial/environmental effects). The phylogenetic composition also shows substantial spatial patterns not related to the environmental variables we quantified (R2 = 28%). A greater number of lineages were significant indicators of geographic regions than forest types.Main ConclusionNumerous tree lineages, including some ancient ones (>66 Ma), show strong associations with geographic regions and edaphic forest types of Amazonia. This shows that specialization in specific edaphic environments has played a long-standing role in the evolutionary assembly of Amazonian forests. Furthermore, many lineages, even those that have dispersed across Amazonia, dominate within a specific region, likely because of phylogenetically conserved niches for environmental conditions that are prevalent within regions

Geography and ecology shape the phylogenetic composition of Amazonian tree communities

Aim: Amazonia hosts more tree species from numerous evolutionary lineages, both young and ancient, than any other biogeographic region. Previous studies have shown that tree lineages colonized multiple edaphic environments and dispersed widely across Amazonia, leading to a hypothesis, which we test, that lineages should not be strongly associated with either geographic regions or edaphic forest types. Location: Amazonia. Taxon: Angiosperms (Magnoliids; Monocots; Eudicots). Methods: Data for the abundance of 5082 tree species in 1989 plots were combined with a mega-phylogeny. We applied evolutionary ordination to assess how phylogenetic composition varies across Amazonia. We used variation partitioning and Moran\u27s eigenvector maps (MEM) to test and quantify the separate and joint contributions of spatial and environmental variables to explain the phylogenetic composition of plots. We tested the indicator value of lineages for geographic regions and edaphic forest types and mapped associations onto the phylogeny. Results: In the terra firme and várzea forest types, the phylogenetic composition varies by geographic region, but the igapó and white-sand forest types retain a unique evolutionary signature regardless of region. Overall, we find that soil chemistry, climate and topography explain 24% of the variation in phylogenetic composition, with 79% of that variation being spatially structured (R$^{2}$ = 19% overall for combined spatial/environmental effects). The phylogenetic composition also shows substantial spatial patterns not related to the environmental variables we quantified (R$^{2}$ = 28%). A greater number of lineages were significant indicators of geographic regions than forest types. Main Conclusion: Numerous tree lineages, including some ancient ones (>66 Ma), show strong associations with geographic regions and edaphic forest types of Amazonia. This shows that specialization in specific edaphic environments has played a long-standing role in the evolutionary assembly of Amazonian forests. Furthermore, many lineages, even those that have dispersed across Amazonia, dominate within a specific region, likely because of phylogenetically conserved niches for environmental conditions that are prevalent within regions

Mapping density, diversity and species-richness of the Amazon tree flora

Using 2.046 botanically-inventoried tree plots across the largest tropical forest on Earth, we mapped tree species-diversity and tree species-richness at 0.1-degree resolution, and investigated drivers for diversity and richness. Using only location, stratified by forest type, as predictor, our spatial model, to the best of our knowledge, provides the most accurate map of tree diversity in Amazonia to date, explaining approximately 70% of the tree diversity and species-richness. Large soil-forest combinations determine a significant percentage of the variation in tree species-richness and tree alpha-diversity in Amazonian forest-plots. We suggest that the size and fragmentation of these systems drive their large-scale diversity patterns and hence local diversity. A model not using location but cumulative water deficit, tree density, and temperature seasonality explains 47% of the tree species-richness in the terra-firme forest in Amazonia. Over large areas across Amazonia, residuals of this relationship are small and poorly spatially structured, suggesting that much of the residual variation may be local. The Guyana Shield area has consistently negative residuals, showing that this area has lower tree species-richness than expected by our models. We provide extensive plot meta-data, including tree density, tree alpha-diversity and tree species-richness results and gridded maps at 0.1-degree resolution

MUSiC : a model-unspecific search for new physics in proton-proton collisions at root s=13TeV

Results of the Model Unspecific Search in CMS (MUSiC), using proton-proton collision data recorded at the LHC at a centre-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 35.9 fb(-1), are presented. The MUSiC analysis searches for anomalies that could be signatures of physics beyond the standard model. The analysis is based on the comparison of observed data with the standard model prediction, as determined from simulation, in several hundred final states and multiple kinematic distributions. Events containing at least one electron or muon are classified based on their final state topology, and an automated search algorithm surveys the observed data for deviations from the prediction. The sensitivity of the search is validated using multiple methods. No significant deviations from the predictions have been observed. For a wide range of final state topologies, agreement is found between the data and the standard model simulation. This analysis complements dedicated search analyses by significantly expanding the range of final states covered using a model independent approach with the largest data set to date to probe phase space regions beyond the reach of previous general searches.Peer reviewe