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 ...

Spatio-temporal extensions to data models have been an active area of research for a number of years. To date, much of this work has focused on the relational data model, with object data models receiving far less consideration. This paper presents a spatio-historical object model that uses a specialized mechanism, called a history, to maintain knowledge about entities that change over time. Ke...

The quickly increasing number of spatio-temporal applications in fields like environmental management, geology and mobile communication is a new challenge to the development of database management systems. After discussing the related work we present concepts and implementations for the modelling and persistent management of geological long-period scientific data. The spatio-temporal classes ar...

The purpose of this paper is to demonstrate a perceptually based spatio-temporal computational framework for visual saliency estimation. We have developed a new spatiotemporal visual frontend based on biologically inspired 3D Gabor filters, which is applied on both the luminance and the color streams and produces spatio-temporal energy maps. These volumes are fused for computing a single salien...

semi-structured spatio-Temporal data has become prevalent with growth of GIS. In this paper, we propose to use “Nested” natural of spatio-Temporal data to storing & maintaining it efficiently in an Object-Relational Database based on Nesting-Relation-Oriented data Model– one of N1NF database. This model not only reflects the nested structure of semi-structured spatio-Temporal data, but also dis...