Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics.

In numerous industrial applications where safety, efficiency, and reliability are among primary concerns, condition-based maintenance (CBM) is often the most effective and reliable maintenance policy. Prognostics, as one of the key enablers of CBM, involves the core task of estimating the remaining useful life (RUL) of the system. Neural networks-based approaches have produced promising results on RUL estimation, although their performances are influenced by handcrafted features and manually specified parameters.

Evolutionary Cluster-Based Synthetic Oversampling Ensemble (ECO-Ensemble) for Imbalance Learning.

Class imbalance problems, where the number of samples in each class is unequal, is prevalent in numerous real world machine learning applications. Traditional methods which are biased toward the majority class are ineffective due to the relative severity of misclassifying rare events. This paper proposes a novel evolutionary cluster-based oversampling ensemble framework, which combines a novel cluster-based synthetic data generation method with an evolutionary algorithm (EA) to create an ensemble.

Multimodal Degradation Prognostics Based on Switching Kalman Filter Ensemble.

For accurate prognostics, users have to determine the current health of the system and predict future degradation pattern of the system. An increasingly popular approach toward tackling prognostic problems involves the use of switching models to represent various degradation phases, which the system undergoes. Such approaches have the advantage of determining the exact degradation phase of the system and being able to handle nonlinear degradation models through piecewise linear approximation.

Microwave-assisted synthesis of sec/tert-butyl 2-arylbenzimidazoles and their unexpected antiproliferative activity towards ER negative breast cancer cells.

A new series of N-sec/tert-butyl 2-arylbenzimidazole derivatives was synthesised in 85-96% yields within 2-3.5 min by condensing ethyl 3-amino-4-butylamino benzoate with various substituted metabisulfite adducts of benzaldehyde under focused microwave irradiation. The benzimidazole analogues were characterised using (1)H NMR, (13)C NMR, high resolution MS and melting points.

Type 2 diabetic patients with resistant hypertension should be screened for primary aldosteronism.

BP control in diabetic patients is often poor. The contribution of secondary hypertension due to undiagnosed PA in hypertensive type 2 diabetic patients is not well studied. We prospectively screened 100 consecutive Asian type 2 diabetic patients with difficult-to-control or resistant hypertension for PA.

Demands and challenges of modern medicine.

Modern medicine, characterised by the enormous impact of rapid advances in science and technology, has vastly enhanced the doctor's professional capabilities and has made the practice of medicine more intellectually challenging as well as professionally satisfying. It has also made medicine more complex and demanding. In addition to having to keep pace with rapid medical advances, the doctor has to deal with 1) the issue of sorting the wheat from the chaff out of the deluge of new drugs and equipment presented to him, 2) the issue of rationing and determining priorities within the limits of finite resources, 3) the issue of appropriate response to new ethical challenges presented by the application of new technologies and 4) the issue of maintaining the human face of medicine in the context of growing presence and impact of technology.