Text mining used on texts and publications in the biomedical molecular biology fields is referred to as "biomedical text mining." It a relatively new area of study at intersection computational linguistics, bioinformatics, natural language processing. Superior usefulness goal sequential pattern identify statistically significant patterns among data instances when values are presented sequential...

In this work we develop a very simple batch learning algorithm for semiblind extraction of a desired source signal with temporal structure from linear mixtures. Although we use the concept of sequential blind extraction of sources and independent component analysis, we do not carry out the extraction in a completely blind manner; neither do we assume that sources are statistically independent. ...

We present here a general digital method to accelerate correlation-based digital background calibration in pipelined ADCs. The central task in correlation-based background calibration is the extraction of component mismatch information from correlated data sequences. Using an explicit frequency domain analysis, we treat the extraction process as discrete-time low pass filtering. We then show th...

He Q., Ren Y., Mohamed I., Ali M., Hassan W., Zeng F. (2013): Assessment of trace and heavy metal distribution by four sequential extraction procedures in a contaminated soil. Soil & Water Res., 8: 71–76. Four sequential extraction procedures (Sposito, Tessier, Silveira and Bureau Communautaire de Reference (BCR)) were used to evaluate the distribution of some metals (Fe, Cu, Cd and Zn) in a co...