Inverse type II seesaw mechanism and its signature at the LHC and ILC

The advent of the LHC, and the proposal of building future colliders as the ILC, both programmed to explore new physics at the TeV scale, justifies the recent interest in studying all kind of seesaw mechanisms whose signature lies on such energy scale. The natural candidate for this kind of seesaw mechanism is the inverse one. The conventional inverse seesaw mechanism is implemented in an arrangement involving six new heavy neutrinos in addition to the three standard ones. In this paper we develop the inverse seesaw mechanism based on Higgs triplet model and probe its signature at the LHC and ILC. We argue that the conjoint analysis of the LHC together with the ILC may confirm the mechanism and, perhaps, infer the hierarchy of the neutrino masses.Comment: 24 pages, 22 figure

Evolution of the phase-space density and the Jeans scale for dark matter derived from the Vlasov-Einstein equation

We discuss solutions of Vlasov-Einstein equation for collisionless dark matter particles in the context of a flat Friedmann universe. We show that, after decoupling from the primordial plasma, the dark matter phase-space density indicator Q remains constant during the expansion of the universe, prior to structure formation. This well known result is valid for non-relativistic particles and is not "observer dependent" as in solutions derived from the Vlasov-Poisson system. In the linear regime, the inclusion of velocity dispersion effects permits to define a physical Jeans length for collisionless matter as function of the primordial phase-space density indicator: \lambda_J = (5\pi/G)^(1/2)Q^(-1/3)\rho_dm^(-1/6). The comoving Jeans wavenumber at matter-radiation equality is smaller by a factor of 2-3 than the comoving wavenumber due to free-streaming, contributing to the cut-off of the density fluctuation power spectrum at the lowest scales. We discuss the physical differences between these two scales. For dark matter particles of mass equal to 200 GeV, the derived Jeans mass is 4.3 x 10^(-6) solar masses.Comment: 18 pages, 2 figures. Accepted for publication in JCA

Model combination in neural-based forecasting

This paper discusses different ways of combining neural predictive models or neural-based forecasts. The proposed approaches consider Gaussian radial basis function networks, which can be efficiently identified and estimated through recursive/adaptive methods. The usual framework for linearly combining estimates from different models is extended, to cope with the case where the forecasting errors from those models are correlated. A prefiltering methodology is pro posed, addressing the problems raised by heavily nonstationary time series. Moreover, the paper discusses two approaches for decision-making from forecasting models: either inferring decisions from combined predictive estimates, or combining prescriptive solutions derived from different forecasting models.info:eu-repo/semantics/publishedVersio

Utilização de CO2 como meio de contraste na angiografia

info:eu-repo/semantics/draf

Resposta ao risco de complicações associadas à biópsia trantorácica por tomografia computorizada

info:eu-repo/semantics/draf

Valorization of agro-industrial wastes towards the production of rhamnolipids

In this work, oil mill wastewater (OMW), a residue generated during olive oil extraction, was evaluated as an inducer of rhamnolipid production. Using a medium containing as sole ingredients corn steep liquor (10%, v/v), sugarcane molasses (10%, w/v) and OMW (25%, v/v), Pseudomonas aeruginosa #112 produced 4.5 and 5.1 g of rhamnolipid per liter in flasks and reactor, respectively, with critical micelle concentrations as low as 13 mg/l. Furthermore, in the medium supplemented with OMW, a higher proportion of more hydrophobic rhamnolipid congeners was observed comparing with the same medium without OMW. OMW is a hazardous waste which disposal represents a serious environmental problem; therefore, its valorization as a substrate for the production of added-value compounds such as rhamnolipids is of great interest. This is the first report of rhamnolipid production using a mixture of these three agro-industrial by-products, which can be useful for the sustainable production of rhamnolipids.This study was supported by the Portuguese Foundation for Science and Technology (FCT) under the scope of the strategic funding of UID/BIO/04469/2013 unit and COMPETE 2020 (POCI- 01-0145-FEDER-006684). The authors also thank the FCT for the financial support under the scope of the Project RECI/BBBEBI/ 0179/2012 (FCOMP-01-0124-FEDER-027462). E.J. Gudiña was supported by the Post-Doctoral fellowship CEB-BPD/01/2015/07 from the project UID/BIO/04469/2013, financed by FCT. A.I. Rodrigues was supported by the doctoral Grant SFRH/BD/111600/2015 provided by FCT

Fertilidade e microbiologia do solo na recuperação de matas ciliares.

Ações que promovam a recuperação de Matas Ciliares têm sido apontadas como uma das mais importantes ferramentas para a conservação da natureza. A busca por alternativas para a recuperação dessas áreas, a partir de propostas metodológicas de baixo custo, com retorno financeiro, garantindo a recuperação a partir da integração entre preservação e a produção, é um importante estímulo para o trabalho junto aos produtores rurais. O presente trabalho teve como objetivo avaliar a influência técnicas alternativas para recuperação de áreas ciliares degradadas sobre a fertilidade e a população microbiana do solo. Foram implantados, no Campo Experimental da UENF, no município de Itaocara, Rio de Janeiro, às margens do Rio Paraíba do Sul, quatro modelos de revegetação: 1) Isolamento; 2) Plantio de espécies florestais nativas; 3) Sistema Agroflorestal Taungya; 4) Nucleação/Transposição do Banco de Sementes do Solo. Antecedendo a implantação do experimento (março de 2013) e aos 8 meses após sua implantação, foi realizada amostragem do solo nas profundidades de 0 a 10 e10 a 20 cm, para análises químicas, e de 0-5 cm para microbiológica. .O manejo adotado para o cultivo agrícola, nas entrelinhas do sistema Taungya, resultou em maior teor de matéria orgânica, carbono, P, K, Ca, Mg, Zn, Mn e Cu, bem como incremento na Soma de bases, Saturação por bases e CTC. Aos nove meses após implantação do experimento, houve incremento em número de bactérias em todos os tratamentos, exceto na área onde não houve intervenção (isolamento)

Avaliação de impacto do Plano BR-163 Sustentável sobre municípios em sua área de influência no Pará/Brasil

Objetivo: Avaliar o impacto do Plano BR-163 Sustentável e identificar a presença de agrupamentos espaciais que expliquem a dinâmica territorial das microrregiões de influência da BR-163. Método: Realizou-se uma avaliação de impacto baseada no modelo Diferenças em Diferenças analisando anos anteriores e posteriores à sua criação. A estratégia empírica adotada baseou-se em: um modelo sem ajustes de pareamento; um com probabilidade inversa ponderada; e um com o pareamento de nearest neighbor. Resultados: Observou-se que a estimativa do efeito da política é positiva e significativa nos três modelos. No primeiro obteve-se o incremento de 1,234% na diferença de desmatamento pós política nos municípios da área de influência da rodovia; no segundo sobe para 1.426% e fica em 1.335% no pareamento de nearest neighbor. Identificou-se que houve desaceleração no avanço do desflorestamento, ponto positivo, porém, não é possível afirmar que este fato decorreu da implementação do plano ou por outras políticas e incentivos municipais e estaduais. Conclusão: A análise de associação espacial realizada evidenciou que as variáveis Desmatamento, Focos de Queimadas e Área de Pastagem podem ser discutidas a nível de agrupamentos espaciais, porém não apresentam tendências semelhantes para toda a área de influência da rodovia.Objective: Evaluate the impact of the Sustainable BR-163 Plan and identify the presence of spatial clusters that explain the territorial dynamics of the micro-regions of influence of the BR-163. Method: An impact assessment was carried out based on the Differences in Differences model, analyzing years before and after its creation. The empirical strategy adopted was based on: a model without matching adjustments; one with weighted inverse probability; and one with the nearest neighbor pairing. Results: It was observed that the estimate of the policy effect is positive and significant in the three models. In the first, there was an increase of 1.234% in the difference in post-policy deforestation in the municipalities in the area of influence of the highway; in the second it rises to 1.426% and stays at 1.335% in the nearest neighbor pairing. It was identified that there was a slowdown in the advance of deforestation, a positive point, however, it is not possible to state that this fact resulted from the implementation of the plan or by other municipal and state policies and incentives. Conclusion: The spatial association analysis carried out showed that the variables Deforestation, Burning Spots and Pasture Area can be discussed at the level of spatial groupings, but do not present similar trends for the entire area of influence of the highway