Geração e acumulo de mutantes com poucos poliedros após passagem serial do baculovirus anticarsia (AgMNPV) em cultura de células.

bitstream/CENARGEN/29412/1/bp183.pd

Antibonding Ground state of Adatom Molecules in Bulk Dirac Semimetals

The ground state of the diatomic molecules in nature is inevitably bonding, and its first excited state is antibonding. We demonstrate theoretically that, for a pair of distant adatoms placed buried in three-dimensional-Dirac semimetals, this natural order of the states can be reversed and an antibonding ground state occurs at the lowest energy of the so-called bound states in the continuum. We propose an experimental protocol with the use of a scanning tunneling microscope tip to visualize the topographic map of the local density of states on the surface of the system to reveal the emerging physics

Components of multifractality in the Central England Temperature anomaly series

We study the multifractal nature of the Central England Temperature (CET) anomaly, a time series that spans more than 200 years. The series is analyzed as a complete data set and considering a sliding window of 11 years. In both cases, we quantify the broadness of the multifractal spectrum as well as its components defined by the deviations from the Gaussian distribution and the influence of the dependence between measurements. The results show that the chief contribution to the multifractal structure comes from the dynamical dependencies, mainly the weak ones, followed by a residual contribution of the deviations from Gaussianity. However, using the sliding window, we verify that the spikes in the non-Gaussian contribution occur at very close dates associated with climate changes determined in previous works by component analysis methods. Moreover, the strong non-Gaussian contribution found in the multifractal measures from the 1960s onwards is in agreement with global results very recently proposed in the literature.Comment: 21 pages, 10 figure

Abundância e flutuação populacional da mosca-branca em relação a padrões regionais e locais de fisionomia agrícola no Distrito Federal.

bitstream/item/137586/1/bpd312-1.pd

The Overlooked Potential of Generalized Linear Models in Astronomy-III: Bayesian Negative Binomial Regression and Globular Cluster Populations

In this paper, the third in a series illustrating the power of generalized linear models (GLMs) for the astronomical community, we elucidate the potential of the class of GLMs which handles count data. The size of a galaxy's globular cluster population $N_{\rm GC}$ is a prolonged puzzle in the astronomical literature. It falls in the category of count data analysis, yet it is usually modelled as if it were a continuous response variable. We have developed a Bayesian negative binomial regression model to study the connection between $N_{\rm GC}$ and the following galaxy properties: central black hole mass, dynamical bulge mass, bulge velocity dispersion, and absolute visual magnitude. The methodology introduced herein naturally accounts for heteroscedasticity, intrinsic scatter, errors in measurements in both axes (either discrete or continuous), and allows modelling the population of globular clusters on their natural scale as a non-negative integer variable. Prediction intervals of 99% around the trend for expected $N_{\rm GC}$comfortably envelope the data, notably including the Milky Way, which has hitherto been considered a problematic outlier. Finally, we demonstrate how random intercept models can incorporate information of each particular galaxy morphological type. Bayesian variable selection methodology allows for automatically identifying galaxy types with different productions of GCs, suggesting that on average S0 galaxies have a GC population 35% smaller than other types with similar brightness.Comment: 14 pages, 12 figures. Accepted for publication in MNRA

Performance fenotípica de cultivares de milho no Meio-Norte Brasileiro.

No ano agrícola de 2003/2004, foram conduzidos dois tipos de experimentos, em delineamento experimental de blocos ao acaso com três repetições, envolvendo a avaliação de 46 híbridos de milho em um dos experimentos e, 22 variedades e 24 híbridos em outro, em nove e oito ambientes, respectivamente, do Meio-Norte brasileiro. O objetivo foi conhecer a adaptabilidade e a estabilidade das cultivares para fins de recomendação. Os parâmetros de adaptabilidade e estabilidade foram estimados conforme método proposto por Cruz et aI. (1989). Detectaram-se, nas análises de variância conjunta, diferenças entre as cultivares e comportamento inconsistente em face das oscilações ambientais. Em ambos os experimentos, as variedades e híbridos avaliados diferiram quanto a adaptabilidade e estabilidade de produção. Os híbridos mostraram melhor adaptação que as variedades, consolidando-se em alternativas importante para exploração comercial na Região. Entre aqueles de melhor adaptação, os Pioneer 30 F 44, BRS 1001, AG 6690, DKB 350 destacaram-se para os ambientes favoráveis. Os híbridos que expressaram adaptabilidade ampla, a exemplo dos AG 7000, BRS 1010, DKB 390, Pioneer 30 F 90, dentre outros, consubstanciam-se em alternativas importantes para a agricultura regional. Também, as variedades que apresentaram adaptabilidade ampla, a exemplo das Sertanejo, São Francisco, Asa Branca, AL Alvorada, AL Ipiranga, dentre outras, tomam-se de importância para os diferentes sistemas de produção dos agricultores familiares