An interesting epidemiological problem is the analysis of geographical variation in rates of disease incidence or mortality One goal of such an analysis is to detect clusters of elevated or lowered risk in order to identify unknown risk factors regarding the disease We propose a nonparametric Bayesian approach for the detection of such clusters based on Green s reversible jump MCMC methodology ...

During the last few years, On-Line Analytical Processing (OLAP) has emerged as a valuable tool for the analysis, navigation and reporting of hierarchically organized data from data warehouses. It particularly gained popularity as a building block of modern decision-support systems. With the use of geographical information systems in conjunction with OLAP, the need for storing spatial data and p...

In this paper we present a hierarchical, multi-modal approach in combination with different granularity levels for the Placing Task at the MediaEval benchmark 2012. Our approach makes use of external resources like gazetteers to extract toponyms in the metadata and of visual and textual features to identify similar content. First, the bounderies detection recognizes the country and its dimensio...

Geographical curves are so involved in their detail that their lengths are often infinite or, rather, undefinable. However, many are statistically "selfsimilar," meaning that each portion can be considered a reduced-scale image of the whole. In that case, the degree of complication can be described by a quantity D that has many properties of a "dimension," though it is fractional; that is, it e...

Little is known about the impact of space (geography/ancestry) and time (age of the individuals) on DNA methylation variability in humans. We investigated DNA methylation of the imprinted IGF2/H19 locus in: i) a cohort of individuals homogeneous for age and gender (males with restricted age range: 30-50 years) belonging to four Italian districts representative of the major genetic clines, infor...

Background and objectives: The development and distribution of hospital beds, regardless of effective factors, may downgrade equity in access to health services through imposing costs of inefficiency. This study aimed to develop a hospital bed distribution model in Iran in order to facilitate the optimal and cost-effective development and distribution of hospital beds. Methods: This descriptiv...

The experiments were conducted for monitoring crop area by spatial sampling methods in a winter wheat main production region with a size of 42Km×42Km in Hengshui City, Hebei Province in China to optimize designs of the frameworks and elements (sample size, sample-square dimension), based on Remote Sensing (RS) and Geographical Information System (GIS) techniques. 5 sample-square dimension level...

In recent years, scale has become a factor of increasing importance in the design of distributed systems. The scale of a system has three dimensions: numerical, geographical, and administrative. The numerical dimension consists of the number of users of the system, and the number of objects and services encompassed. The geographical dimension consists of the distance over which the system is sc...