presence of maternal diabetes mellitus (dm) during pregnancy has important consequences for both mother and child. to determine maternal and fetal/neonatal complications of gestational dm and compare them with pre-gestational dm, a prospective study was performed in 100 diabetic women delivered in our hospital from january 2001 to april 2002. pregnancy outcome in 27 women with gestational dm an...

Abstract Conversions and semi-annihilations of dark matter (DM) particles in addition to the standard DM annihilations are considered in a three-component DM system. We find that the relic abundance of DM can be very sensitive to these non-standard DM annihilation processes, which has been recently found for two-component DM systems. To consider a concrete model of a three-component DM system, ...

Concern at the effect of winter pasture residuals on pasture productivity led to the comparison of different wintering systems at the DRC No. 3 Dairy from May-December 1993. Three farmlets were designed to have 2000 kg DM/ha average farm cover at calving, but with pastures grazed to either 900, 1400 or 1800 kg DM/ha at least once during the winter. A fourth farmlet was spelled from grazing from...

Background: A number of former studies have shown that tuberculosis (TB) is higher in diabetes mellitus (DM) patients than non-diabetics. Both DM and TB are major public health problems in Iran, and because of the lack of investigation in this field in the region, we conducted this study to evaluate the prevalence of DM in admitted pulmonary tuberculosis patients. Methods: The medical files of...

In this paper, we introduce an integration study which combines Data Mining (DM) and Agent Based Modeling and Simulation (ABMS). This study, as a new paradigm for DM/ABMS, is concerned with two approaches: (i) applying DM techniques in ABMS investigation, and inversely (ii) utilizing ABMS results in DM research. Detailed description of each approach is presented in this paper. A conclusion and ...

This tutorial provides an overview of the data mining process. The tutorial also provides a basic understanding of how to plan, evaluate and successfully refine a data mining project, particularly in terms of model building and model evaluation. Methodological considerations are discussed and illustrated. After explaining the nature of data mining and its importance in business, the tutorial de...