This study performed beat-to-beat and spectral analyses of 20-minute skin-surface laser-Doppler-flowmetry (LDF) and radial blood-pressure-waveform (BPW) signals in order to compare the blood-flow perfusion condition and regulatory mechanisms between essential-hypertension (EHT) patients and aged-matched control subjects. Beat-to-beat LDF analyses yielded the pulse width (PW), AC-to-DC ratio (AD), and their corresponding variability indices (coefficients of variation [CVs]). The relative energy contributions (RECs) of five characteristic frequency peaks (defined as FR1–FR5) were also calculated. Spectral BPW analysis obtained the amplitude proportion (C n ) and phase angle (P n ) of each harmonic component n. PW, AD, AD_CV, and REC of FR2 were significantly smaller in the EHT group than in the control group. Regarding BPW indices, C 1, C 2, C 4, and C 5 were significantly larger and P 2–P 8 were significantly smaller in EHT patients than in controls. The present results indicate that BPW and LDF indices can be used to evaluate the blood-flow perfusion efficiency and microcirculatory regulatory activities in EHT. Sex differences were found, with the effects being more prominent in female patients. These findings may be partly attributable to impairment of endothelial and neural regulatory functions. The present findings might aid the development of new noninvasive methods for reducing the risk of EHT-induced damage.
In this paper, a web document classification scheme, Progressive Analysis Scheme (PAS) is proposed to efficiently and effectively classify HTML web documents. When an author writes a web document, HTML tags are used to visually emphasize the texts related to main concepts. The design of PAS is to catch the authoring convention in terms of the contributions of nested HTML tags to document classification. During the learning phase, PAS provides an enhanced tag sequence model to resolve the sample lacking problem in learning the classification contributions of HTML tag sequences. While in classification phase, PAS decomposes a web document into regions based on the DOM tag-tree, and analyzes the regions in the descending order of their classification contributions. PAS also provides a mechanism called emphasis degree adjustment to defer the processing of noisy region during classification. The simulation results shows that PAS has better performance than full-text (e.g. SVM) and sequential classifier.
Performance ClassifierProceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05) 0-7695-2415-X/05 $20.00
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.