Two essential elements contribute to the risk of all diseases, especially cancer: genetic variation and environmental exposures. The completion of a solid draft of the human genome will allow researchers to characterize genotypes to ever-finer degrees of detail, and to continue to identify genetic traits associated with disease in individuals and families. However, much of the genetic variation...

in this study, the effect of environmental concern, attitudes and behaviors of the university students on the environmentally conscious purchasing behavior was investigated with the help of structural equation model (sem). sem is an effective data analysis tool that expresses the complicated causative relations between the latent variables. in this study, we collected the data from 400 univers...

Many socio-economically important pathogens persist and grow in the outside host environment and opportunistically invade host individuals. The environmental growth and opportunistic nature of these pathogens has received only little attention in epidemiology. Environmental reservoirs are, however, an important source of novel diseases. Thus, attempts to control these diseases require different...

to conserve the genetic resources and identify the strong and weak points in sistan watermelon accessions and compare these with improved cultivars of: sugarbaby and fairfax, an experiment was carried out, based on rectangular lattic design of two replications in 2007. the morphological traits studied, included plant length, plant weight, seed weight, fruit number, fruit length, fruit width, su...

Comparative analysis methods control for the variation linked to phylogeny before attempting to correlate the remaining variation of a trait to present-day conditions (i.e., ecology and/or environment). A portion of the phylogenetic variation of the trait may be related to ecology, however; this portion is called "phylogenetic niche conservatism." We propose a method of variation partitioning t...

In this paper we develop and implement a methodology for analysing the sources of variation in environmental efficiency across producers. We formulate a two-stage model. In the first stage we use stochastic frontier analysis to estimate both technical and environmental efficiency. In the second stage we again use stochastic frontier analysis to regress estimated environmental efficiency scores ...

The factors limiting the habitat range of species are crucial in understanding their biodiversity and response to environmental change. Yet the genetic and genomic architectures that produce genetic variation to enable environmental adaptation have remained poorly understood. Here we show that the proportion of duplicated genes (P(D)) in the whole genomes of fully sequenced Drosophila species i...