Maximum Entropy Inferences on the Axion Mass in Models with Axion-Neutrino Interaction

In this work we use the Maximum Entropy Principle (MEP) to infer the mass of an axion which interacts to photons and neutrinos in an effective low energy theory. The Shannon entropy function to be maximized is suitably defined in terms of the axion branching ratios. We show that MEP strongly constrains the axion mass taking into account the current experimental bounds on the neutrinos masses. Assuming that the axion is massive enough to decay into all the three neutrinos and that MEP fixes all the free parameters of the model, the inferred axion mass is in the interval $0.1\$eV$\ <m_{A}<0.2$ eV, which can be tested by forthcoming experiments such as IAXO. However, even in the case where MEP fixes just the axion mass and no other parameter, we found that $0.1$ eV $< m_A < 6.3$ eV in the DFSZ model with right-handed neutrinos. Moreover, a light axion, allowed to decay to photons and the lightest neutrino only, is determined by MEP as a viable dark matter candidate.Comment: 13 pages, 5 figures, typos corrected, figures update

Inferences on the Higgs Boson and Axion Masses through a Maximum Entropy Principle

The Maximum Entropy Principle (MEP) is a method that can be used to infer the value of an unknown quantity in a set of probability functions. In this work we review two applications of MEP: one giving a precise inference of the Higgs boson mass value; and the other one allowing to infer the mass of the axion. In particular, for the axion we assume that it has a decay channel into pairs of neutrinos, in addition to the decay into two photons. The Shannon entropy associated to an initial ensemble of axions decaying into photons and neutrinos is then built for maximization.Comment: Contributed to the 13th Patras Workshop on Axions, WIMPs and WISPs, Thessaloniki, May 15 to 19, 201

The 7% Rule: A Maximum Entropy Prediction on New Decays of the Higgs Boson

The entropy of the Higgs boson decay probabilities distribution in the Standard Model (SM) is maximized for a Higgs mass value that is less than one standard deviation away from the current experimental measurement. This successful estimate of the Higgs mass encourages us to propose tests of the Maximum Entropy Principle (MEP) as a tool for theoretical inferences in other instances of Higgs physics. In this letter, we show that, irrespective of the extension of the SM predicting a new Higgs boson decay channel, its branching ratio can be inferred to be around 7% in such a way that the new entropy of decays still exhibits a maximum at the experimental Higgs mass. This 7% rule can be tested whenever a new Higgs decay channel is found. In order to illustrate the MEP predictions, we apply the MEP inference to Higgs portal models, Higgs-axion interactions, lepton flavour violating decays of the Higgs boson, and a dark gauge boson model.Comment: 12 pages, 5 figures. Version published in Nuclear Physics

AN EXPLORATORY ASSESSMENT OF THE GAPS FOR HEALTH INNOVATION IN BRAZIL:CHALLENGES AND A PROPOSED RESEARCH AGENDA

Policies and health actions generate benefits that extrapolate the specificity of its purpose of providing welfare for the population, given its recognized impact in generating technological innovations, employment and income. However, such progress levels are unevenly distributed in countries, so that certain diseases and allocative and ethical questions associated with the development of new mechanisms for diagnosis, of treatment and cure did not find satisfactory answers yet. In Brazil, such a scenario has not been shown different, demanding a wider discussion encompassing the country’s economic and social conditions. Contrasting the analytical and empirical results observed in policies and actions toward the Health Economic-Industrial Complex (CEIS) to establish the barriers as well as structural and economic opportunities for the promotion of health innovations in Brazil, this work raises a number of critical considerations in view of identifying and systematizing gaps in health innovation in the country, thereby proposing a positive comprehensive research agenda on the topic

MODELO DE PROGRAMACIÓN NO LINEAL PARA LA DECISIÓN DE PRESUPUESTO DE CAPITAL EN INICIO

Obtenção de informações de mercado e dificuldades de acesso a financiamento externo são tradicionais barreiras para um planejamento financeiro que reflita as oportunidades de crescimento de novas empresas de alta tecnologia em mercados emergentes. Há, ainda, uma carência de estudos que proponham uma abordagem metodológica robusta dessas questões. Este artigo desenvolve dois modelos de apoio à decisão baseados no algoritmo de programação não-linear GRG (Generalized Reduced Gradient), cuja aplicação se dá no contexto da orçamentação de capital em pequenas e médias empresas de alta tecnologia. O modelo foi concebido a partir da elaboração de três demonstrativos financeiros básicos, sendo estes o demonstrativo de resultado do exercício (DRE), a demonstração de fluxo de caixa (DFC) e o balanço patrimonial. O estudo permitiu tecer considerações sobre os trade-offs entre estrutura de capital e valor em empresas de alta tecnologia em mercados emergentes, cujas contribuições podem ser úteis para a comunidade de empreendedores, analistas financeiros, investidores e formuladores de políticas públicas envolvidos em modelagem e planejamento de novos mecanismos de financiamento para startups.Access to market information and difficulties to obtain external financing are traditional barriers to financial planning exercises that reflect the growth opportunities aimed by new high-tech companies from emerging markets. There is also a lack of studies that propose a robust methodological approach to deal with these issues. This article develops two decision support models based on the nonlinear programming algorithm GRG (Generalized Reduced Gradient). The model was applied in the context of capital budgeting in high-tech small and medium enterprises. The models use input information from three basic financial statements, which are the income statement, the cash flow statement and the balance sheet. This study provided insights into the trade-offs of capital-structure and value in high-tech firms operating in developing countries. The discussions and results obtained in the case study carried in this work can be helpful to the community of entrepreneurs, financial analysts, investors, and policy makers involved in the design of new financing mechanisms for startups.Obtener información del mercado y las dificultades para acceder al financiamiento externo son barreras tradicionales para la planificación financiera que reflejan las oportunidades de crecimiento de las nuevas empresas de alta tecnología en los mercados emergentes. También faltan estudios que propongan un enfoque metodológico sólido para estos temas. Este artículo desarrolla dos modelos de soporte de decisiones basados ​​en el algoritmo de programación no lineal GRG (Gradiente reducido generalizado), que se aplica en el contexto del presupuesto de capital en pequeñas y medianas empresas de alta tecnología. El modelo se concibió a partir de la preparación de tres estados financieros básicos, que son el estado de resultados del año, el estado de flujo de efectivo y el balance general. El estudio nos permitió considerar lo trade-off entre la estructura de capital y el valor en las empresas de alta tecnología en los mercados emergentes, cuyas contribuciones pueden ser útiles para la comunidad de empresarios, analistas financieros, inversores y responsables de políticas públicas que participan en el modelado y la planificación de los nuevos mecanismos de financiación para startups

GRUPOS DE PESQUISA EM EDUCAÇÃO MATEMÁTICA COMO OBJETO DE ESTUDO: UMA VISÃO DO ESTADO DA ARTE

Resumo Este artigo apresenta um estado da arte sobre grupos de pesquisa em educação matemática. É feita a análise de um conjunto de 25 trabalhos encontrados na Biblioteca Digital Brasileira de Teses e Dissertações e no Google Acadêmico. Os principais resultados evidenciaram a presença de artigos publicados em periódicos pelo Grupo de Pesquisa História Oral e Educação Matemática e de trabalhos que analisam/descrevem aspectos de trajetória, constituição, identidade, habitus científico, funcionamento, colaboração e/ou produção científica dos grupos de pesquisa. Conclui-se que pesquisas futuras podem privilegiar a magnitude dos grupos de pesquisa em educação matemática no Brasil

Flexural Tensile Strength of Asphalt Composites with Calcined Clay under Four-Point Bending

Replacing natural aggregates for employment in pavement applications has been exhaustively proposed in order to reduce the unsustainable consumption of these materials. An option widely studied in the Amazon Region is the Sintered Calcined Clay Aggregate (SCCA), a promising alternative to the historical scarcity of rocky material, given the region geology, primarily for the strong occurrence of clays. The aim of this research is to study the use of calcined clay aggregates to create an alternative mixture for asphalt coating of urban paved roads. The influence of temperature variation on the mechanical behavior of SCCA asphalt concrete was also evaluated in order to simulate high-temperature zones. Four-point bending tests were performed on prismatic specimens compacted in controlled conditions with the aim to determine the Flexural Tensile Strength. Superpave method was used for the design of asphalt mixes. The test results from this study indicated that the FTS increases with frequency and decreases with temperature. On the other hand, increasing temperature promotes a tendency of stabilization of the FTS, in which the saturation of the asphalt binder can be observed, due to its viscoelastic nature