ATTRACTIVENESS OF MUNICIPALITIES IN MINAS GERAIS STATE FOR THE INSTALLATION OF FOREST-BASED COMPANIES/Atratividade dos municípios de Minas Gerais para a instalação de empresas de base florestal

This paper measured the attractiveness of municipalities in the state of Minas Gerais (MG) for projects in the steel, cellulose and paper, furniture, energy and wood panel industry segments. A questionnaire was used to construct an index of attractiveness of the forestry sector for each municipality. As a result, it was found that 40% of the municipalities presented “average” or higher attractiveness. The mesoregions with the greatest potential for forestry development were the Metropolitan region of Belo Horizonte, Southwest of Minas and Zona da Mata. The steel and cellulose and paper segments found attractive factors in 74.08% and 72.79% of the municipalities, respectively. It was concluded that the methodology applied showed how close a location was to meeting the characteristics of forest-based industries. It is expected to encourage future research and influence strategic planning for the expansion of the forestry sector across the country.Este trabajo midió el atractivo de los municipios del estado de Minas Gerais (MG) para proyectos en los segmentos de la industria siderúrgica, celulosa y papel, muebles, energía y paneles de madera. Se utilizó un cuestionario para construir un índice de atractividad del sector forestal para cada municipio. Como resultado, se constató que el 40% de los municipios presentaban un atractivo "medio" o superior. Las mesorregiones con mayor potencial de desarrollo forestal fueron la Región Metropolitana de Belo Horizonte, el Sudoeste de Minas y la Zona da Mata. Los segmentos siderúrgicos y de celulosa y papel encontraron factores de atracción en el 74,08% y 72,79% de los municipios, respectivamente. Se concluyó que la metodología aplicada mostraba lo cerca que estaba una localidad de reunir las características de las industrias de base forestal. Se espera que fomente futuras investigaciones e influya en la planificación estratégica para la expansión del sector forestal en todo el país.This paper measured the attractiveness of municipalities in the state of Minas Gerais (MG) for projects in the steel, cellulose and paper, furniture, energy and wood panel industry segments. A questionnaire was used to construct an index of attractiveness of the forestry sector for each municipality. As a result, it was found that 40% of the municipalities presented “average” or higher attractiveness. The mesoregions with the greatest potential for forestry development were the Belo Horizonte Metropolitan region, Southwestern Minas and Zona da Mata. The steel and cellulose and paper segments found attractive factors in 74.08% and 72.79% of the municipalities, respectively. It was concluded that the methodology applied showed how close a location was to meeting the characteristics of forest-based industries. It is expected to encourage future research and influence strategic planning for the expansion of the forestry sector across the country. Este trabalho mediu a atratividade de municípios do estado de Minas Gerais (MG) para projetos nos segmentos de siderurgia, celulose e papel, móveis, energia e painéis de madeira. Por meio de um questionário, foi construído um índice de atratividade do setor florestal para cada município. Como resultado, verificou-se que 40% dos municípios apresentaram atratividade "média" ou superior. As mesorregiões com maior potencial para o desenvolvimento da silvicultura foram a Região Metropolitana de Belo Horizonte, o Sudoeste de Minas e a Zona da Mata. Os segmentos de siderurgia e celulose e papel encontraram fatores de atratividade em 74,08% e 72,79% dos municípios, respetivamente. Concluiu-se que a metodologia aplicada mostrou o quanto uma localidade estava próxima de atender às características das indústrias de base florestal. Espera-se incentivar futuras pesquisas e influenciar o planejamento estratégico para a expansão do setor florestal no país

Desenvolvimento e Validação de um Objeto de Aprendizagem para Ensino de Modelagem de Linhas de Transmissão Empregando Quadripolos

Este artigo apresenta o desenvolvimento e validação de uma ferramenta que auxilia na compreensão de quadripolos, como resultado de um projeto de iniciação científica. Foi elaborada uma pasta de trabalho em Microsoft Excel com diversas planilhas capazes de resolver cálculos relacionados a quadripolos aplicados à transmissão de energia elétrica, para ajudar alunos de engenharia elétrica a sedimentar os conhecimentos adquiridos. A metodologia consistiu em reunir as teorias relacionadas a quadripolos e, juntamente com os conhecimentos de Microsoft Excel, elaborar uma ferramenta computacional. Foram utilizados exercícios presentes em livros empregados no curso de engenharia elétrica para validar o funcionamento do trabalho desenvolvido

Health-related quality of life in patients with type 1 diabetes mellitus in the different geographical regions of Brazil : data from the Brazilian Type 1 Diabetes Study Group

Background: In type 1 diabetes mellitus (T1DM) management, enhancing health-related quality of life (HRQoL) is as important as good metabolic control and prevention of secondary complications. This study aims to evaluate possible regional differences in HRQoL, demographic features and clinical characteristics of patients with T1DM in Brazil, a country of continental proportions, as well as investigate which variables could influence the HRQoL of these individuals and contribute to these regional disparities. Methods: This was a retrospective, cross-sectional, multicenter study performed by the Brazilian Type 1 Diabetes Study Group (BrazDiab1SG), by analyzing EuroQol scores from 3005 participants with T1DM, in 28 public clinics, among all geographical regions of Brazil. Data on demography, economic status, chronic complications, glycemic control and lipid profile were also collected. Results: We have found that the North-Northeast region presents a higher index in the assessment of the overall health status (EQ-VAS) compared to the Southeast (74.6 ± 30 and 70.4 ± 19, respectively; p < 0.05). In addition, North- Northeast presented a lower frequency of self-reported anxiety-depression compared to all regions of the country (North-Northeast: 1.53 ± 0.6; Southeast: 1.65 ± 0.7; South: 1.72 ± 0.7; Midwest: 1.67 ± 0.7; p < 0.05). These findings could not be entirely explained by the HbA1c levels or the other variables examined. Conclusions: Our study points to the existence of additional factors not yet evaluated that could be determinant in the HRQoL of people with T1DM and contribute to these regional disparities

Determinants of intensive insulin therapeutic regimens in patients with type 1 diabetes: data from a nationwide multicenter survey in Brazil

Background: To evaluate the determinants of intensive insulin regimens (ITs) in patients with type 1 diabetes (T1D).Methods: This multicenter study was conducted between December 2008 and December 2010 in 28 public clinics in 20 Brazilian cities. Data were obtained from 3,591 patients (56.0% female, 57.1% Caucasian). Insulin regimens were classified as follows: group 1, conventional therapy (CT) (intermediate human insulin, one to two injections daily); group 2 (three or more insulin injections of intermediate plus regular human insulin); group 3 (three or more insulin injections of intermediate human insulin plus short-acting insulin analogues); group 4, basal-bolus (one or two insulin injections of long-acting plus short-acting insulin analogues or regular insulin); and group 5, basal-bolus with continuous subcutaneous insulin infusion (CSII). Groups 2 to 5 were considered IT groups.Results: We obtained complete data from 2,961 patients. Combined intermediate plus regular human insulin was the most used therapeutic regimen. CSII was used by 37 (1.2%) patients and IT by 2,669 (90.2%) patients. More patients on IT performed self-monitoring of blood glucose and were treated at the tertiary care level compared to CT patients (p < 0.001). the majority of patients from all groups had HbA1c levels above the target. Overweight or obesity was not associated with insulin regimen. Logistic regression analysis showed that economic status, age, ethnicity, and level of care were associated with IT (p < 0.001).Conclusions: Given the prevalence of intensive treatment for T1D in Brazil, more effective therapeutic strategies are needed for long term-health benefits.Farmanguinhos/Fundacao Oswaldo Cruz/National Health MinistryBrazilian Diabetes SocietyFundacao do Amparo a Pesquisa do Estado do Rio de JaneiroConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Univ Estado Rio de Janeiro, Unit Diabet, BR-20551030 Rio de Janeiro, BrazilBaurus Diabet Assoc, São Paulo, BrazilFed Univ São Paulo State, Diabet Unit, São Paulo, BrazilFed Univ Hosp Porto Alegre, Porto Alegre, BrazilUniv Hosp São Paulo, Diabet Unit, São Paulo, BrazilUniv Fed Rio de Janeiro, Rio de Janeiro, BrazilUniv Fed Ceara, Fortaleza, Ceara, BrazilSanta Casa Misericordia, Belo Horizonte, MG, BrazilSanta Casa Misericordia São Paulo, São Paulo, BrazilUniv Fed Amazonas, Manaus, Amazonas, BrazilHosp Geral de Bonsucesso, Rio de Janeiro, BrazilHosp Univ Clementino Fraga Filho IPPMG, Rio de Janeiro, BrazilUniv Hosp São Paulo, São Paulo, BrazilFac Ciencias Med Santa Casa São Paulo, São Paulo, BrazilUniv São Paulo, Inst Crianca, Hosp Clin, São Paulo, BrazilUniv São Paulo, Fac Med Ribeirao Preto, Hosp Clin, Ribeirao Preto, BrazilAmbulatorio Fac Estadual Med Sao Jose Rio Preto, Ribeirao Preto, BrazilEscola Paulista Med, Ctr Diabet, Ribeirao Preto, BrazilClin Endocrinol Santa Casa Belo Horizonte, Belo Horizonte, MG, BrazilUniv Estadual Londrina, Londrina, BrazilUniv Fed Parana, Hosp Clin, Porto Alegre, RS, BrazilInst Crianca Com Diabet Rio Grande Sul, Rio Grande Do Sul, RS, BrazilGrp Hosp Conceicao, Inst Crianca Com Diabet, Porto Alegre, RS, BrazilHosp Univ Santa Catarina, Florianopolis, SC, BrazilInst Diabet Endocrinol Joinville, Joinville, BrazilHosp Reg Taguatinga, Brasilia, DF, BrazilHosp Geral Goiania, Goiania, Go, BrazilCtr Diabet & Endocrinol Estado Bahia, Goiania, Go, BrazilUniv Fed Maranhao, Sao Luis, BrazilCtr Integrado Diabet & Hipertensao Ceara, Fortaleza, Ceara, BrazilUniv Fed Sergipe, Aracaju, BrazilHosp Univ Alcides Carneiro, Campina Grande, BrazilHosp Univ Joao de Barros Barreto, Belem, Para, BrazilFed Univ São Paulo State, Diabet Unit, São Paulo, BrazilUniv Hosp São Paulo, Diabet Unit, São Paulo, BrazilUniv Hosp São Paulo, São Paulo, BrazilEscola Paulista Med, Ctr Diabet, Ribeirao Preto, BrazilWeb of Scienc

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

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