Family Health Strategy and More Doctors Program in Rural Area of Porto Velho, Brazil: A Qualitative Analysis under the Nurse’s Perspective

The Family Health Strategy (FHS) together with the implementation of the More Doctors Program (MDP) has an effective contribution to the strengthening of Primary Health Care (PHC) and the consolidation of the Unified Health System (SUS), which has intended to meet the health needs of the population in need of care less complex. Thus, this study aims to analyze the Family Health Strategy and the Program More Doctors implanted in the Rural Municipality of Porto Velho, Rondônia, from the perspective of nurses. This is a qualitative research, descriptive exploratory performed in the field, based on the assessment the perspective of nurses working in the FHS, which are favored by the MDP. The data collection was carried out through a questionnaire,Primary Care Assessment Tool (PCA Tool), in its version validated in Brazil entitled PCA Tool- Brazil (BRAZIL, 2010). This instrument is widely used by national research that evaluates the quality of primary care. For the construction of the database was used Microsoft Word software. For qualitative data, the collection was carried out through interviews recorded by a script containing open questions. The response were discussed based on the content analysis technique proposed by Bardin (2011). The results achieved indicate that the MDM enabled the structuring of teams that were incomplete in the rural area of the town, however presents numerous challenges in the organization of the work process and the understanding of program objectives

Enhancing Network Slicing Architectures with Machine Learning, Security, Sustainability and Experimental Networks Integration

Network Slicing (NS) is an essential technique extensively used in 5G networks computing strategies, mobile edge computing, mobile cloud computing, and verticals like the Internet of Vehicles and industrial IoT, among others. NS is foreseen as one of the leading enablers for 6G futuristic and highly demanding applications since it allows the optimization and customization of scarce and disputed resources among dynamic, demanding clients with highly distinct application requirements. Various standardization organizations, like 3GPP's proposal for new generation networks and state-of-the-art 5G/6G research projects, are proposing new NS architectures. However, new NS architectures have to deal with an extensive range of requirements that inherently result in having NS architecture proposals typically fulfilling the needs of specific sets of domains with commonalities. The Slicing Future Internet Infrastructures (SFI2) architecture proposal explores the gap resulting from the diversity of NS architectures target domains by proposing a new NS reference architecture with a defined focus on integrating experimental networks and enhancing the NS architecture with Machine Learning (ML) native optimizations, energy-efficient slicing, and slicing-tailored security functionalities. The SFI2 architectural main contribution includes the utilization of the slice-as-a-service paradigm for end-to-end orchestration of resources across multi-domains and multi-technology experimental networks. In addition, the SFI2 reference architecture instantiations will enhance the multi-domain and multi-technology integrated experimental network deployment with native ML optimization, energy-efficient aware slicing, and slicing-tailored security functionalities for the practical domain.Comment: 10 pages, 11 figure

Ocorrência de Cabassous tatouay (Cingulata, Dasypodidae) e seu potencial de distribuição para o sul do Brasil

Cabassous tatouay Desmarest, 1804 é considerada espécie rara no sul da América do Sul, apresentando registros escassos e imprecisos para o Rio Grande do Sul. O presente estudo descreve 40 localidades de ocorrência de C. tatouay e apresenta de um mapa de distribuição geográfica potencial, gerado por Modelagem Ecológica de Nicho. A modelagem de nicho sugere uma associação da espécie com áreas de matriz campestre, incluindo o Pampa e os Campos de Cima da Serra, associados à Mata Atlântica. Este estudo contribui para o melhor conhecimento do tatu-de-rabo-mole no Sul do Brasil e fornece dados-chave para sua conservação.Cabossous tatouay Desmarest, 1804 is considered a rare species in southern South America, and Rio Grande do Sul State, Brazil, records of the species are scarce and inaccurate. This study reports 40 localities for C. tatouay, and provides a map of the species' potential distribution using ecological niche modeling (ENM). The ENM indicated that in this region C. tatouay is associated with open grasslands, including the areas of "Pampas" and the open fields in the highlands of the Atlantic Forest. This study contributes to the information about the greater naked-tailed armadillo in southern Brazil, and provides data key to its future conservation

Amazonia as a carbon source linked to deforestation and climate change

Amazonia hosts the Earth's largest tropical forests and has been shown to be an important carbon sink over recent decades1-3. This carbon sink seems to be in decline, however, as a result of factors such as deforestation and climate change1-3. Here we investigate Amazonia's carbon budget and the main drivers responsible for its change into a carbon source. We performed 590 aircraft vertical profiling measurements of lower-tropospheric concentrations of carbon dioxide and carbon monoxide at four sites in Amazonia from 2010 to 20184. We find that total carbon emissions are greater in eastern Amazonia than in the western part, mostly as a result of spatial differences in carbon-monoxide-derived fire emissions. Southeastern Amazonia, in particular, acts as a net carbon source (total carbon flux minus fire emissions) to the atmosphere. Over the past 40 years, eastern Amazonia has been subjected to more deforestation, warming and moisture stress than the western part, especially during the dry season, with the southeast experiencing the strongest trends5-9. We explore the effect of climate change and deforestation trends on carbon emissions at our study sites, and find that the intensification of the dry season and an increase in deforestation seem to promote ecosystem stress, increase in fire occurrence, and higher carbon emissions in the eastern Amazon. This is in line with recent studies that indicate an increase in tree mortality and a reduction in photosynthesis as a result of climatic changes across Amazonia1,10.</p

Amazonia as a carbon source linked to deforestation and climate change

Amazonia hosts the Earth’s largest tropical forests and has been shown to be an important carbon sink over recent decades1,2,3. This carbon sink seems to be in decline, however, as a result of factors such as deforestation and climate change1,2,3. Here we investigate Amazonia’s carbon budget and the main drivers responsible for its change into a carbon source. We performed 590 aircraft vertical profiling measurements of lower-tropospheric concentrations of carbon dioxide and carbon monoxide at four sites in Amazonia from 2010 to 20184. We find that total carbon emissions are greater in eastern Amazonia than in the western part, mostly as a result of spatial differences in carbon-monoxide-derived fire emissions. Southeastern Amazonia, in particular, acts as a net carbon source (total carbon flux minus fire emissions) to the atmosphere. Over the past 40 years, eastern Amazonia has been subjected to more deforestation, warming and moisture stress than the western part, especially during the dry season, with the southeast experiencing the strongest trends5,6,7,8,9. We explore the effect of climate change and deforestation trends on carbon emissions at our study sites, and find that the intensification of the dry season and an increase in deforestation seem to promote ecosystem stress, increase in fire occurrence, and higher carbon emissions in the eastern Amazon. This is in line with recent studies that indicate an increase in tree mortality and a reduction in photosynthesis as a result of climatic changes across Amazonia1,10