Long range phasing (LRP) is a fast and accurate rule based method which uses information from both related and unrelated individuals by invoking the concepts of surrogate parents and Erdös numbers (Kong et al., 2008). Recursive long range phasing and long haplotype imputation (RLRPLHI; Hickey et al., 2009) is an extended LRP algorithm with increased robustness partially due to the extra long ha...

Original scientific paper Traditional dc electrical exploration method will face great challenge when detecting deep, complex geologic target. With the purpose, forward modelling and inverse modelling method of borehole resistivity has been developed. According to the characters of geology, the geological model has been set up. The numerical simulation shows that borehole resistivity method is ...

Background ionospheric propagation effects are adverse to the performance of Geosynchronous Synthetic Aperture Radar (GEO SAR) system. This paper focuses on the background ionospheric phase advance, which can be modelled as a function of slant total electron content (STEC). The dispersive feature of the phase advance caused by the background ionosphere could be able to distort the GEO SAR range...

BACKGROUND Dental caries is unevenly distributed within populations with a higher burden in low socio-economy groups. Several attempts have been made to allocate resources to those that need them the most; there is a need for convenient approaches to population-based monitoring of caries risk over time. The aim of this study was to develop the geo-map concept, addressing time trends in caries r...

The study was designed for mapping the filariasis transmission risk using geo-climatic variables. The application of remote sensing and GIS in the present study is mainly focused on profiling the areas at risk of filariasis transmission. The filariasis disease is caused by the Culex genus mosquito vector. The survival and longevity of infected filariasis vector mosquitoes are spatially determin...

Currently, a growing number of programs become available in statistical software for multiple imputation of missing values. Among others, two algorithms are mainly implemented: Expectation Maximization (EM) and Multiple Imputation by Chained Equations (MICE). They have been shown to work well in large samples or when only small proportions of missing data are to be imputed. However, some resear...

Introduction: Soil has an important role in nutrient cycle and an important function in storage, refinement, and movement of nutrients for the living and non-living parts. Soil pollution of heavy metals and elements is one of the common pollution impacts of human activities, especially industry. Realization of distribution pattern of these elements and their anthropogenic sources is a major par...

Missing data is a common feature of large data sets in general and medical data sets in particular. Depending on the goal of statistical analysis, various techniques can be used to tackle this problem. Imputation methods consist in substituting the missing values with plausible or predicted values so that the completed data can then be analysed with any chosen data mining procedure. In this wor...

The HLA addresses interoperability issues in the distributed simulation domain successfully. Similar approaches are noticeable in the geo-processing domain. The future of geo-processing applications will be based on the interoperability of geographic data and geographic services that are distributed over heterogeneous networks. In view of the inherent space-time nature of most of the dynamic mo...

The tropospheric channel models developed for earth-GEO satellite links are not directly applicable for LEO satellites. In the absence of significant propagation datasets, reasonable models are developed for the simulation of earth-LEO link. This paper presents preliminary models for the simulation of the effect of turbulence on earth-LEO links.