Double-outlet right ventricle with absent left ventricle and mitral atresia in a fetus with a deletion 22q12

Interstitial deletions of chromosomal region 22q12 are rare. We report the prenatal diagnosis of a de novo interstitial deletion 22q12. The fetus was karyotyped because of a complex cardiac anomaly. Conventional and molecular cytogenetics showed a female karyotype with a de novo pericentric inversion of one chromosome 22 associated with a deletion of the chromosomal region 22q12 leading to a partial monosomy 22q12. At autopsy, the fetus showed double-outlet right ventricle (DORV) with absent left ventricle and mitral atresia. This observation suggests that one or several genes for the early looping step of heart development may reside in chromosomal region 22q12. Further studies are needed to identify these genes, and to search microdeletions of 22q12 region in patients with DORV. Copyright © 2004 John Wiley & Sons, Ltd.     

Water quality index modeling using random forest and improved SMO algorithm for support vector machine in Saf-Saf river basin

Environmental Science and Pollution Research - The water quality index is one of the prominent general indicators to assess and classify surface water quality, which plays a critical role in river...     

WEPP and ANN models for simulating soil loss and runoff in a semi-arid Mediterranean region

This paper presents the use of both the Water Erosion Prediction Project (WEPP) and the artificial neural network (ANN) for the prediction of runoff and soil loss in the central highland mountainous of the Palestinian territories. Analyses show that the soil erosion is highly dependent on both the rainfall depth and the rainfall event duration rather than on the rainfall intensity as mostly mentioned in the literature. The results obtained from the WEPP model for the soil loss and runoff disagree with the field data. The WEPP underestimates both the runoff and soil loss. Analyses conducted with the ANN agree well with the observation. In addition, the global network models developed using the data of all the land use type show a relatively unbiased estimation for both runoff and soil loss. The study showed that the ANN model could be used as a management tool for predicting runoff and soil loss.