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Traditional quantization index modulation (QIM) methods are based on a fixed quantization step size, which may lead to poor fidelity in some areas of the content. A more serious limitation of the original QIM algorithm is its sensitivity to valumetric changes (e.g., changes in amplitude). In this paper, we first propose using Watson's perceptual model to(More)
In the past few decades, analysis of heart sound signals (i.e. the phonocardiogram or PCG), especially for automated heart sound segmentation and classification, has been widely studied and has been reported to have the potential value to detect pathology accurately in clinical applications. However, comparative analyses of algorithms in the literature have(More)
Rhizoctonia solani is a major fungal pathogen of rice (Oryza sativa L.) that causes great yield losses in all rice-growing regions of the world. Here we report the draft genome sequence of the rice sheath blight disease pathogen, R. solani AG1 IA, assembled using next-generation Illumina Genome Analyser sequencing technologies. The genome encodes a large(More)
Exosomes constitute the newest mode of intercellular communication, transmitting information between cells. This exchange of molecular information is facilitated by their unique composition which is enriched with enzymes, structural proteins, adhesion molecules, lipid rafts and RNAs. Following the discovery that cancer cells secrete excessive amounts of(More)
Correct detection and classification of ventricular fibrillation (VF) and rapid ventricular tachycardia (VT) is of pivotal importance for an automatic external defibrillator and patient monitoring. In this paper, a VF/VT classification algorithm using a machine learning method, a support vector machine, is proposed. A total of 14 metrics were extracted from(More)
Previous studies showed that a T. aestivum-H. villosa disomic substitution line DS4V(4D) showed a high level of resistance to wheat spindle streak mosaic virus (WSSMV). By crossing DS4V(4D) with the common wheat variety Yangmai #5, plants were obtained that were double monosomic for chromosomes 4V and 4D. Univalents are prone to misdivision at the(More)
High false alarm rates in the ICU decrease quality of care by slowing staff response times while increasing patient delirium through noise pollution. The 2015 Physio-Net/Computing in Cardiology Challenge provides a set of 1,250 multi-parameter ICU data segments associated with critical arrhythmia alarms, and challenges the general research community to(More)
BACKGROUND Within the intensive care unit (ICU), arterial blood pressure (ABP) is typically recorded at different (and sometimes uneven) sampling frequencies, and from different sensors, and is often corrupted by different artifacts and noise which are often non-Gaussian, nonlinear and nonstationary. Extracting robust parameters from such signals, and(More)
Spatial and temporal plantar pressure distributions are important and useful measures in footwear evaluation, athletic training, clinical gait analysis, and pathology foot diagnosis. However, present plantar pressure measurement and analysis systems are more or less uncomfortable to wear and expensive. This paper presents an in-shoe plantar pressure(More)
In the present study, we examined the supplementation of paeonol extracted from Moutan cortex of Paeonia suffruticosa Andrews (MC) or the root of Paeonia lactiflora Pall (PL) on reducing oxidative stress, cognitive impairment and neurotoxicity in d-galactose (D-gal)-induced aging mice. The ICR mice were subcutaneously injected with D-gal (50 mg/(kg day))(More)