Comparison between carbon stock measurements methdos in eucalyptus stems.

The levels of greenhouse gases (GHG) have been significantly increased since the Industrial Revolution. However, only after 1980 was that the changes in the levels of GHG were scientifically evident. This finding led to the establishment in 1988, the Intergovernmental Panel on Climate Change (IPCC). In 1997, during the Conference of the Parties (COP) held in Japan, the Kyoto Protocol was established in order to reduce the emission of GHGs mainly by industrialized countries. Among the mechanisms cited for compensation of GHG emissions there is the Clean Development Mechanism (CDM). Developing countries, e.g. Brazil, started the implementation of the CDM to generate carbon credits to be traded with developed countries, since they have committed to reduce GHG emissions. Through calculating the GHG that had their volumes avoided and/or removed from the atmosphere emissions, carbon credits are generated. Each carbon credit is equal to a stored GHG ton and/or that have not been released into the atmosphere and they may be negotiated between developed and developing countries

Análise de curvas epidêmicas da Covid-19 via modelos generalizados de crescimento: Estudo de caso para as cidades de Recife e Teresina

Introduction: The Covid-19 pandemic is one of the biggest public health crises the world has ever faced. In this context, it is important to have effective models to describe the different stages of the epidemic’s evolution in order to guide the authorities in taking appropriate measures to fight the disease. Objective: To present an analysis of epidemic curves of Covid-19 based on phenomenological growth models, with applications to the curves for the cumulative numbers of confirmed cases of infection by the novel coronavirus (Sars-Cov-2) and deaths attributed to the disease (Covid-19) caused by the virus, for the Brazilian cities of Recife and Teresina. Methods: The Richards generalized model and the generalized growth model were used to make the numerical fits of the respective empirical curves. Results: The models used described very well the empirical curves against which they were tested. In particular, the generalized Richards model was able to identify the appearance of the inflexion point in the cumulative curves, which in turn represents the peak of the respective daily curves. A brief discussion is also presented on the relationship between the fitting parameters obtained from the model and the mitigation measures adopted in each of the municipalities considered. Conclusions: The generalized Richards model proved to be very effective in describing epidemic curves of Covid-19 and estimating important epidemiological parameters, such as the time of the peak of the curve for daily cases and deaths, thus allowing a practical and efficient monitoring of the epidemic evolution.Introdução: A pandemia da Covid-19 é uma das maiores crises de saúde pública que o mundo já enfrentou. Nesse contexto, é importante ter modelos eficazes para descrever os diferentes estágios da evolução da epidemia, a fim de orientar as autoridades competen- tes na adoção de políticas públicas para o enfrentamento da mesma. Objetivo: Apresentar uma análise de curvas epidêmicas com base em modelos fenomenológicos de crescimento, tomando como exemplo as curvas acumuladas de casos confirmados de infecção pelo novo coronavírus (Sars-Cov-2) e de óbitos atribuídos à doença (Covid-19) causada pelo vírus, para as cidades do Recife e Teresina. Métodos: Foram utilizados o modelo generalizado de Richards e o modelo de crescimento generalizado para fazer o ajuste numérico das respectivas curvas empíricas. Resultados: Verificou-se que os modelos utilizados descrevem muito bem as curvas empíricas em que foram testados. Em particular, o modelo generalizado de Richards é capaz de identificar com razoável confiabilidade o surgimento do ponto de infle- xão nas curvas acumuladas, o qual corresponde ao ponto de máximo das respectivas curvas diárias. Apresenta-se ainda uma breve discussão sobre a relação entre os parâmetros obtidos no ajuste do modelo e as medidas de mitigação adotadas para retardar a propagação da Covid-19 em cada um dos municípios considerados. Conclusões: O modelo generalizado de Richards mostrou-se bastante eficaz para descrever curvas epidêmicas da Covid-19 e es- timar parâmetros epidemiológicos importantes, como o pico das curvas de casos e óbitos diários, permitindo assim realizar de modo prático e eficiente o monitoramento da evolução da epidemia

PANORAMA DA COVID-19 NO NORDESTE BRASILEIRO: ANÁLISES E PREVISÕES VIA MODELOS DE CRESCIMENTO

The Covid-19 pandemic, caused by the new coronavirus (SARS-CoV-2), is one of the gravest public health crises the world has ever faced. In this context, it is important to have effective models to describe the different stages of the epidemic, in order to offer guidance to the competent authorities regarding the adoption of public policies to contain and control the pandemic. In this work, we present a novel method to analyze epidemic curves based on growth models, using as examples the cumulative curves of deaths attributed to Covid-19 for the states of the Northeastern Region of Brazil. Depending on the case, the q-exponential model, the Richards model or the generalized Richards model were used to make the numerical fits of the respective empirical curves. The models used here describe very well the empirical curves of all the Northeastern Brazilian States, thus allowing a more precise diagnosis of the stage of the epidemic in each of the States.  Among them, only the state of Paraíba is still in the early growth phase, when the epidemic curve does not yet have an inflexion point, being in this case better described by the q-exponential model.  The other states were better described either by the Richards model or by its generalized version. The Richards model, in particular, was able to identify with reasonable reliability the emergence of the inflexion point for states that only recently have reached this stage of the epidemic, such as Piauí, Rio Grande do Norte and Sergipe. This model is also able to predict when the inflection is about to occur, as is the case in Bahia. The generalized Richards model, in turn, has proved more appropriate to describe epidemic curves in states that are in a more developed phase of the epidemic, such as Ceará and Pernambuco, when the epidemic curves already show a more consolidated trend of saturation toward the plateau.A pandemia da Covid-19, causada pelo novo coronavírus (SARS-CoV-2), é uma das maiores crises de saúde pública que o mundo já enfrentou. Nesse contexto, é importante ter modelos eficazes para descrever os diferentes estágios da evolução da epidemia, a fim de orientar as autoridades competentes na adoção de políticas públicas para o enfrentamento e controle da pandemia. No presente trabalho, nós propomos um novo método de análise de curvas epidêmicas com base na seleção criteriosa de modelos de crescimento, tomando como exemplo as curvas acumuladas de óbitos atribuídos à Covid-19 para os estados da região Nordeste do Brasil. A depender do caso, foram utilizados o modelo q-exponencial, o modelo de Richards ou o modelo generalizado de Richards para fazer o ajuste numérico das respectivas curvas empíricas. Verificou-se que os modelos utilizados descrevem muito bem as curvas empíricas de todos os estados do Nordeste, permitindo assim diagnosticar mais precisamente o estágio da epidemia em cada um dos estados. Dentre eles, apenas o estado da Paraíba ainda encontra-se na fase inicial de crescimento, quando a curva epidêmica ainda não apresenta um ponto de inflexão, sendo nesse caso melhor descrita pelo modelo q-exponencial. Os demais estados foram mais bem descritos ou pelo modelo de Richards ou por sua versão generalizada. O modelo de Richards, em particular, foi capaz de identificar com razoável confiabilidade o surgimento do ponto de inflexão para os estados que só recentemente alcançaram esse estágio da epidemia, como foi o caso do Piauí, Rio Grande do Norte e Sergipe. Esse modelo também é capaz de prever quando a inflexão está prestes a acontecer, como é o caso da Bahia. O modelo generalizado de Richards, por sua vez, mostrou-se mais apropriado para descrever curvas epidêmicas de estados que estão em uma fase mais desenvolvida da epidemia, como Ceará e Pernambuco, quando as curvas epidêmicas já apresentam uma tendência mais consolidada de saturação em direção ao platô

Situação da Epidemia de Covid-19 no Brasil em Agosto de 2020: Maioria do Estados do Norte-Nordeste em Saturação e Estados do Sul em Aceleração ou Leve Desaceleração

In this Technical Note we analyze the cumulative curves of deaths attributed to Covid-19 in the 26 Brazilian states and the Federal District until August 21, 2020. Mathematical growth models implemented by the ModInterv Covid-19 application, which can be accessed via internet browser or via a mobile app available at the Google Play Store, were used to investigate at which stage the epidemic is in each of these entities of the Federation. The analysis revealed that almost all states in the Northern and Northeastern regions are in the saturation phase, when the epidemic is relatively under control, while in all Southern states and in most states in the Midwest the epidemic is still accelerating or shows only a slight deceleration. The Southeastern region presents a great diversity of epidemic stages, with each state at a different stage, ranging from acceleration to saturation.Nesta Nota Técnica nós analisamos as curvas acumuladas de mortes atribuídas à Covid-19 nos 26 estados e Distrito Federal até o dia 21 de agosto de 2020. Foram utilizados modelos matemáticos de crescimento implementados pelo aplicativo ModInterv Covid-19, que pode ser acessado via internet (http://fisica.ufpr.br/modinterv) ou através de aplicativo para celular disponível na Play Store (https://play.google.com/store/apps/details?id=com.tanxe.covid_19), para investigar em qual fase da epidemia cada um dessas unidades da federação se encontra. A análise revelou que quase todos os estados das Regiões Norte e Nordeste encontram-se em uma fase de saturação, quando a epidemia está relativamente sob controle, ao passo que em todos os estados do Sul e a maioria dos estados do Centro-Oeste a epidemia ainda está em aceleração ou apresenta apenas uma leve desaceleração. A Região Sudeste apresenta uma grande diversidade de estágios da epidemia, com cada estado em um estágio diferente, indo de acelerado à saturação

Recife e Belém são atualmente as únicas capitais que já estão na fase de saturação da Covid-19 no Brasil

In this technical note we analyze the accumulated fatality curves attributed to Covid-19 in the 27 Brazilian state capitals until July 19, 2020. We employed three mathematical growth models to assess at which stage of the epidemic each of these cities is at. These models were implemented in the Modinterv Covid-19 application, developed by the Federal Universities of Paraná, Pernambuco and Sergipe, which can be accessed through the <http://fisica.ufpr.br/modinterv> page. The analysis reveals that only Recife and Belém appear to have reached the saturation phase of the epidemic, when the accumulated fatality curve begins to approach the plateau. Among the other capitals, eight are still in the initial phase of rapid growth and seventeen are in the intermediate phase, when the epidemic curve has already passed through the inflection point but is still relatively far from the plateau.Nessa nota técnica analisamos as curvas acumuladas de mortes atribuídas à Covid-19 nas 27 capitais brasileiras até o dia 19 de julho de 2020. Empregamos três modelos matemáticos de crescimento para avaliar em que fase da epidemia encontra-se cada uma dessas cidades. Esses modelos  foram implementados  no aplicativo Modinterv Covid-19, desenvolvido pelas Universidades Federais do Paraná, Pernambuco e Sergipe, o qual pode ser acessado através da página http://fisica.ufpr.br/modinterv. A análise revela que apenas Recife e Belém aparentam ter atingido a fase de saturação da epidemia, quando a curva acumulada de morte começa a se aproximar do platô. Entre as demais capitais, oito ainda estão na fase inicial de crescimento rápido e dezessete estão na fase intermediária, quando a curva epidêmica já passou pelo ponto de inflexão mas ainda está relativamente distante do platô

No evidence for an association between the -36A>C phospholamban gene polymorphism and a worse prognosis in heart failure

Background: In Brazil, heart failure leads to approximately 25,000 deaths per year. Abnormal calcium handling is a hallmark of heart failure and changes in genes encoding for proteins involved in the re-uptake of calcium might harbor mutations leading to inherited cardiomyopathies. Phospholamban (PLN) plays a prime role in cardiac contractility and relaxation and mutations in the gene encoding PLN have been associated with dilated cardiomyopathy. In this study, our objective was to determine the presence of the -36A>C alteration in PLN gene in a Brazilian population of individuals with HF and to test whether this alteration is associated with heart failure or with a worse prognosis of patients with HF. Methods: We genotyped a cohort of 881 patients with HF and 1259 individuals from a cohort of individuals from the general population for the alteration -36A>C in the PLN gene. Allele and genotype frequencies were compared between groups (patients and control). In addition, frequencies or mean values of different phenotypes associated with cardiovascular disease were compared between genotypic groups. Finally, patients were prospectively followed-up for death incidence and genotypes for the -36A>C were compared regarding mortality incidence in HF patients. Results: No significant association was found between the study polymorphism and HF in our population. In addition, no association between PLN -36A>C polymorphism and demographic, clinical and functional characteristics and mortality incidence in this sample of HF patients was observed. Conclusion: Our data do not support a role for the PLN -36A>C alteration in modulating the heart failure phenotype, including its clinical course, in humans

Applying the Maternal Near Miss Approach for the Evaluation of Quality of Obstetric Care: A Worked Example from a Multicenter Surveillance Study

Objective. To assess quality of care of women with severe maternal morbidity and to identify associated factors. Method. This is a national multicenter cross-sectional study performing surveillance for severe maternal morbidity, using the World Health Organization criteria. the expected number of maternal deaths was calculated with the maternal severity index (MSI) based on the severity of complication, and the standardized mortality ratio (SMR) for each center was estimated. Analyses on the adequacy of care were performed. Results. 17 hospitals were classified as providing adequate and 10 as nonadequate care. Besides almost twofold increase in maternal mortality ratio, the main factors associated with nonadequate performance were geographic difficulty in accessing health services (P < 0.001), delays related to quality of medical care (P = 0.012), absence of blood derivatives (P = 0.013), difficulties of communication between health services (P = 0.004), and any delay during the whole process (P = 0.039). Conclusions. This is an example of how evaluation of the performance of health services is possible, using a benchmarking tool specific to Obstetrics. in this study the MSI was a useful tool for identifying differences in maternal mortality ratios and factors associated with nonadequate performance of care.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Univ Campinas UNICAMP, Sch Med Sci, Dept Obstet & Gynaecol, BR-13083881 Campinas, SP, BrazilCtr Res Reprod Hlth Campinas Cemicamp, BR-13083888 Campinas, SP, BrazilUniv Fed Amazonas, Manaus, Amazonas, BrazilSch Med Sci, CISAM, Recife, PE, BrazilUniv Fed Ceara, Fortaleza, Ceara, BrazilUniv Fed Bahia, Salvador, BA, BrazilHosp Geral Cesar Cals, Fortaleza, Ceara, BrazilHosp Geral Fortaleza, Fortaleza, Ceara, BrazilMaternidade Odete Valadares, Belo Horizonte, MG, BrazilHosp Materno Infantil, Goiania, Go, BrazilInst Materno Infantil Pernambuco, Recife, PE, BrazilUniv Fed Pernambuco, Recife, PE, BrazilUniv Fed Campina Grande, Campina Grande, PB, BrazilUniv Fed Maranhao, Sao Luis, MA, BrazilUniv Fed Parana, BR-80060000 Curitiba, Parana, BrazilUniv Fed Paraiba, BR-58059900 Joao Pessoa, Paraiba, BrazilHosp Maternidade Fernando Magalhaes, Rio de Janeiro, RJ, BrazilUniv Fed Rio Grande do Sul, Porto Alegre, RS, BrazilHosp Maternidade Celso Pierro, Campinas, SP, BrazilInst Fernandes Figueira Fiocruz, Rio de Janeiro, RJ, BrazilHosp Israelita Albert Einstein, São Paulo, BrazilUniv State São Paulo, Botucatu, SP, BrazilJundiai Sch Med, Jundiai, SP, BrazilUniv São Paulo, BR-14049 Ribeirao Preto, SP, BrazilSanta Casa Limeira, Limeira, SP, BrazilSanta Casa Sao Carlos, Sao Carlos, SP, BrazilMaternidade Leonor Mendes de Barros, São Paulo, BrazilUniversidade Federal de São Paulo, São Paulo, BrazilUniversidade Federal de São Paulo, São Paulo, BrazilCNPq: 402702/2008-5Web of Scienc

Cytogenetical studies in five Atlantic Anguilliformes fishes

The order Anguilliformes comprises 15 families, 141 genera and 791 fish species. Eight families had at least one karyotyped species, with a prevalence of 2n = 38 chromosomes and high fundamental numbers (FN). The only exception to this pattern is the family Muraenidae, in which the eight species analyzed presented 2n = 42 chromosomes. Despite of the large number of Anguilliformes species, karyotypic reports are available for only a few representatives. In the present work, a species of Ophichthidae, Myrichthys ocellatus (2n = 38; 8m+14sm+10st+6a; FN = 70) and four species of Muraenidae, Enchelycore nigricans (2n = 42; 6m+8sm+12st+16a; FN = 68), Gymnothorax miliaris (2n = 42; 14m+18sm+10st; FN = 84), G. vicinus (2n = 42; 8m+6sm+28a; FN = 56) and Muraena pavonina (2n = 42; 6m+4sm+32a; FN = 52), collected along the Northeastern coast of Brazil and around the St Peter and St Paul Archipelago were analyzed. Typical large metacentric chromosomes were observed in all species. Conspicuous polymorphic heterochromatic regions were observed at the centromeres of most chromosomes and at single ribosomal sites. The data obtained for Ophichthidae corroborate the hypothesis of a karyotypic diversification mainly due to pericentric inversions and Robertsonian rearrangements, while the identification of constant chromosome numbers in Muraenidae (2n = 42) suggests a karyotype diversification through pericentric inversions and heterochromatin processes