Spatial data sets do not only contain true information, there is also a certain amount of ‘noise’ associated with the data. The use of these data in spatio-temporal analyses, often results in a sub-optimal representation of reality. Generalising spatial data sets collected at different times may serve the purpose of filtering noise so that spatio-temporal change can be better elucidated. In thi...

BACKGROUND It is important to engage in regular physical activity in order to maintain a healthy lifestyle however a large portion of the population is insufficiently active. Understanding how different types of motivation contribute to exercise behavior is an important first step in identifying ways to increase exercise among individuals. The current study employs self-determination theory as ...

Drawing on novel survey data of Milwaukee renters, this study documents the prevalence of involuntary displacement from housing and estimates its consequences for neighborhood selection. More than one in eight Milwaukee renters experienced an eviction or other kind of forced move in the previous two years. Multivariate analyses suggest that renters who experienced a forced move relocate to poor...

Genotype by environment interactions (GEI) have attracted increasing attention in tropical breeding programs because of the variety of production systems involved. In this work, we assessed GEI in 450-day adjusted weight (W450) Nelore cattle from 366 Brazilian herds by comparing traditional univariate single-environment model analysis (UM) and random regression first order reaction norm models ...

A.1. Computation in ES Model. A particular ES model, describing an alternative hypothesis Ha, is fully specified by setting values for (φ, ω) and hyper-parameters (v1, . . . , vS , l1,m1, . . . , lS ,mS). Under the contrasting null model H0, we set φ = ω = 0 while keeping all other hyper-parameters the same. Let βs = (μs, βs), τs = σ −2 s and θ = (β1, . . . ,βs, τ1, . . . , τs, b̄), the marginal...

In recent years, some investigations have been carried out to examine the assumptions like stationarity, symmetry and separability of spatio-temporal covariance function which would considerably simplify fitting a valid covariance model to the data by parametric and nonparametric methods. In this article, assuming a Gaussian random field, we consider the likelihood ratio separability test, a va...

SUMMARY This article presents an overview of eigenproblems that arise in current nite-element computations. We focus on a set of applications that have been studied at CERFACS, Centre Europ een de Recherche et de Formation Avanc ee en Calcul Scientiique, and describe the ideas and tools that have been developed to deal with them. The main characteristics of ve diierent cases are given. We also ...

Temporary employment has become a major concern in the last decades: it is seen as the result of the continuous changes in the working system around the world. The effects of temporary employment for the employees and the organization have not been established yet, because there are many variables that can affect the observed outcomes. This article addresses the literature about temporary emplo...

The aim of this study was to uncover factors accounting for the ability of children with specific language impairment (SLI) to learn agreement morphemes in intervention. Twenty-five children with SLI who participated in a six-month intervention program focused on teaching third person singular -s or auxiliary is/are/was showed a wide range of use of the target morpheme after intervention. Regre...

Housing transactions are executed and recorded daily, but are routinely pooled into longer time periods for the measurement and analysis of housing price trends. We utilize an unusually rich data set, covering essentially all arm's length housing sales in Sweden for a dozen years, in an attempt to understand the effect of temporal aggregation upon estimates of housing prices and their volatilit...