Biomarkers which predict patient’s survival can play an important role in medical diagnosis and treatment. How to select the significant biomarkers from hundreds of protein markers is a key step in survival analysis. In this paper a novel method is proposed to detect the prognostic biomarkers of survival in colorectal cancer patients using wavelet analysis, genetic algorithm, and Bayes classifi...

The exploitation and utilization of coal resources are not only prone to causing water table lowering, but also produce a large amount CO2 coal-based solid waste. A scientific concept that employs the wastes develop filling bodies inject them into mined-out area, sequestrate mitigate overburden migration thus preserve overlying aquifer, is proposed. Continuous extraction continuous backfill (CE...

Percutaneous implantable device extraction has increased in recent years and is associated with small but significant risk. Arteriovenous fistula formation is an uncommon complication of this procedure. We report two cases where lead extraction was complicated by an arteriovenous fistula between the left internal mammary artery and the left brachiocephalic vein. In both cases, the patients were...

A membrane microcontactor is presented that allows sample pre-treatment by means of extraction and operates in parallel flow mode, hence avoiding an emulsification and compulsory phase separation step. The extraction kinetic behaviour of the device was first evaluated by extraction of a drug candidate, proving equilibrium is reached within 10 min. Next the device was evaluated under more challe...

The authors describe the first case of tooth extraction in a patient treated with autologous skeletal myocardial sheet transplantation for severe dilated cardiomyopathy. This condition is associated with significant morbidity and mortality that may have identifiable causes or may be idiopathic or inherited. In addition to local disinfection, antimicrobial prophylaxis and continuous anticoagulan...

We describe a method for pattern extraction by adaptive propagation of a regional threshold to the rest of the image. In most images there is an easily thresholded region. We propagate the regional threshold to the entire image using a linear approximation of the image intensity gradients. This method is useful in the fields where the extraction of precise geometry of the binarized patterns is ...

In this paper we present a strategy together with its computational implementation to intelligently analyze data clusters in terms of symbolic cluster-defining rules. We present a symbolic rule extraction workbench that leverages rough set theory to inductively extract CNF form symbolic rules from un-annotated continuous-valued data-vectors. Our workbench purports a hybrid rule extraction metho...