Examining the effect of Plk4/Sak levels on the transcript profiles of other genes

The aberrant regulation of cell cycle checkpoints can potentially initiate cellular transformation to an oncogenic state that leads to tumor formation. Many families of cell cycle regulators are present to ensure that normal cellular growth and replication occurs, including the polo-like kinases (Plk). Plk4 (Sak), the newest and most structurally divergent member of the Plks has been implicated to play crucial roles in centrosome dynamics and mitotic progression. Plk4 heterozygous mouse embryonic fibroblasts (MEFs) present a number of phenotypic differences, in comparison to their wild type counterparts that may contribute to the increased incidence of tumor formation observed in heterozygous Plk4 mice. Microarray technology was employed to investigate transcriptional differences between the wild type and heterozygous Plk4 MEFs. Furthermore, transcriptional and protein differences were examined in the Plk4 MEFs in response to DNA damaging agents, to explore a possible role for Plk4 in the DNA damage pathways

Wavelets in Statistics

In this paper we give the main uses of wavelets in statistics, with emphasis in time series analysis. We include the fundamental work on non parametric regression, which motivated the development of techniques used in the estimation of the spectral density of stationary processes and of the evolutionary spectrum of locally stationary processes

Inference in parametric models with many L-moments

L-moments are expected values of linear combinations of order statistics that provide robust alternatives to traditional moments. The estimation of parametric models by matching sample L-moments -- a procedure known as ``method of L-moments'' -- has been shown to outperform maximum likelihood estimation (MLE) in small samples from popular distributions. The choice of the number of L-moments to be used in estimation remains \textit{ad-hoc}, though: researchers typically set the number of L-moments equal to the number of parameters, as to achieve an order condition for identification. In this paper, we show that, by properly choosing the number of L-moments and weighting these accordingly, we are able to construct an estimator that outperforms both MLE and the traditional L-moment approach in finite samples, and yet does not suffer from efficiency losses asymptotically. We do so by considering a ``generalised'' method of L-moments estimator and deriving its asymptotic properties in a framework where the number of L-moments varies with sample size. We then propose methods to automatically select the number of L-moments in a given sample. Monte Carlo evidence shows our proposed approach is able to outperform (in a mean-squared error sense) both the conventional L-moment approach and MLE in smaller samples, and works as well as MLE in larger samples

Time-varying STARMA models by wavelets

The spatio-temporal autoregressive moving average (STARMA) model is frequently used in several studies of multivariate time series data, where the assumption of stationarity is important, but it is not always guaranteed in practice. One way to proceed is to consider locally stationary processes. In this paper we propose a time-varying spatio-temporal autoregressive and moving average (tvSTARMA) modelling based on the locally stationarity assumption. The time-varying parameters are expanded as linear combinations of wavelet bases and procedures are proposed to estimate the coefficients. Some simulations and an application to historical daily precipitation records of Midwestern states of the USA are illustrated

Naissance et mort d’un réseau départemental : le Lot-et-Garonne (1911‑1929)

Le développement des voies ferrées d’intérêt local se justifie par un désir légitime d’offrir aux populations rurales, non desservies par le réseau d’intérêt général, un moyen de transport plus moderne que la voiture hippomobile. Après le succès des premières grandes lignes de chemin de fer, ces populations réclament la construction de lignes supplémentaires mais se heurtent à la réticence des grandes compagnies face à toute extension du réseau. C’est dans ce contexte qu’apparaît une législat..

Indirect inference for locally stationary ARMA processes with stable innovations

The class of locally stationary processes assumes that there is a time-varying spectral representation, that is, the existence of finite second moment. We propose the $\alpha$-stable locally stationary process by modifying the innovations into stable distributions and the indirect inference to estimate this type of model. Due to the infinite variance, some of interesting properties such as time-varying auto-correlation cannot be defined. However, since the $\alpha$-stable family of distributions is closed under linear combination which includes the possibility of handling asymmetry and thicker tails, the proposed model has the same tail behavior throughout the time. In this paper, we propose this new model, present theoretical properties of the process and carry out simulations related to the indirect inference in order to estimate the parametric form of the model. Finally, an empirical application is illustrated.Comment: 31 pages, 14 figures. Submitted to the Journal of Statistical Computation and Simulatio

Maria Rita Galvão, historiadora

The objective of the article is to present the work of the historian Maria Rita Galvão, particularly her text “Jogo de Armar: anotações de catalogador” and a series of related materials, as a way to pay homage to this researcher and her trajectory.Key words: Brazilian Film History; Audiovisual Preservation; Maria Rita Galvão___________Maria Rita Galvão, historiadoraResumo: O objetivo do artigo é apresentar a obra da historiadora Maria Rita Galvão, em particular o texto “Jogo de Armar: anotações de catalogador” e os materiais a ele vinculados, forma de homenagear a pesquisadora e sua trajetória.Palavras-chave:história do cinema brasileiro; preservação audiovisual; Maria Rita Galvão___________ Maria Rita Galvão, historiadoraResumen: El objetivo de este artículo es presentar la obra de la historiadora Maria Rita Galvão, particularmente su texto “Jogo de Armar: anotações de catalogador” y una serie de materiales relacionados al mismo, a manera de homenaje a esta investigadora y su trayectoria.Palabras clave:historia del cine brasileño, preservación audiovisual, Maria Rita Galvão___________ Date of reception: 30th November, 2018Date of acceptance: 15th December. 2018Resumo: O objetivo do artigo é apresentar a obra da historiadora Maria Rita Galvão, em particular o texto “Jogo de Armar: anotações de catalogador” e os materiais a ele vinculados, forma de homenagear a pesquisadora e sua trajetória.Palavras-chave: história do cinema brasileiro; preservação audiovisual; Maria Rita Galvão___________Maria Rita Galvão, historianAbstract: The objective of the article is to present the work of the historian Maria Rita Galvão, particularly her text “Jogo de Armar: anotações de catalogador” and a series of related materials, as a way to pay homage to this researcher and her trajectory.Key words: Brazilian Film History; Audiovisual Preservation; Maria Rita Galvão___________ Maria Rita Galvão, historiadoraResumen: El objetivo de este artículo es presentar la obra de la historiadora Maria Rita Galvão, particularmente su texto “Jogo de Armar: anotações de catalogador” y una serie de materiales relacionados al mismo, a manera de homenaje a esta investigadora y su trayectoria.Palabras clave:historia del cine brasileño, preservación audiovisual, Maria Rita Galvão___________Fecha de recepción: 30 de noviembre de 2018Fecha de aceptación: 15 de diciembre de 201