Tribology has been and will continue to be one of the most significant subjects due its prevalence in practically every part our lives [...]

Machine learning algorithms were applied to an electronic patient database generated by the UC Irvine Alzheimer's clinic to learn the simplest and most accurate patient parameters that would discriminate 244 very mildly demented from 198 normally aging subjects. Attributes included age, sex and education plus responses to the Functional Activities Questionnaire, the Mini-Mental Status and Bless...

Recent advances in microscope automation provide new opportunities for high-throughput cell biology, such as image-based screening. High-complex image analysis tasks often make the implementation of static and predefined processing rules a cumbersome effort. Machine-learning methods, instead, seek to use intrinsic data structure, as well as the expert annotations of biologists to infer models t...

In this paper, a consistent pattern with the optimal coordinated design of PSS and SSSC controller to improve the damping of low frequency oscillations is shown. In this design, sensing and signal transmission time delays are considered as effectiveness parameters. The design problem has been considered an optimization problem and biogeography-based optimization (BBO) algorithm is used for sear...