[Purpose] It is important to facilitate intestinal motility in patients with reduced bowel movement through physiotherapy. The purpose of the present study was to compare the effects of passive exercise of the lower limbs and trunk (PELT) and combination therapies (COM) with those of conventional thermotherapy (TT) on bowel sounds (BSs) in healthy adult subjects. Since autonomic activity (AA) s...

We propose utilizing subband-based blind source separation (BSS) for convolutive mixtures of speech. This is motivated by the drawback of frequency-domain BSS, i.e., when a long frame with a fixed long frame-shift is used to cover reverberation, the number of samples in each frequency decreases and the separation performance is degraded. In subband BSS, (1) by using a moderate number of subband...

We report the identification of bang senseless (bss), a Drosophila melanogaster mutant exhibiting seizure-like behaviors, as an allele of the paralytic (para) voltage-gated Na(+) (Na(V)) channel gene. Mutants are more prone to seizure episodes than normal flies because of a lowered seizure threshold. The bss phenotypes are due to a missense mutation in a segment previously implicated in inactiv...

Frequency-domain blind source separation (BSS) is shown to be equivalent to two sets of frequency-domain adaptive beamformers (ABFs) under certain conditions. The zero search of the off-diagonal components in the BSS update equation can be viewed as the minimization of the mean square error in the ABFs. The unmixing matrix of the BSS and the filter coefficients of the ABFs converge to the same ...

Maintaining a balance between revenue and expenditure is the key to the sustainable development of a bicycle sharing system (BSS), and is a challenge for almost all systems worldwide. This article proposes a dynamic programming approach to obtain the optimal strategy to maximize the revenue of overall BSS. The Variable Granularity-Depth First Search (VG-DFS) algorithm is designed to speed up th...

This paper develops a new approach to band subset selection (BSS) for hyperspectral image classification (HSIC) which selects multiple bands simultaneously as a band subset, referred to as simultaneous multiple band selection (SMMBS), rather than one band at a time sequentially, referred to as sequential multiple band selection (SQMBS), as most traditional band selection methods do. In doing so...

inter-stimulus intervals more than one second. In 5Hz periodical median nerve stimuli common BSS patterns of the primary somatosensory cortex, power electric noise, eye blinks, and alpha waves were observed in seven subjects. Although the absolute summation of off diagonal elements of correlation matrices is minimized in the algorithm of the decorrelation method, the correlation between BSS com...

The application of temperature compensation strategies is important when using a guided wave structural health monitoring system. It has been shown by different authors that the influence of changing environmental and operational conditions, especially temperature, limits performance. This paper quantitatively describes two different methods to compensate for the temperature effect, namely opti...

Recently blind source separation (BSS) methods have been highly successful when applied to biomedical data. This paper reviews the concept of BSS and demonstrates its usefulness in the context of event-related MEG measurements. In a first experiment we apply BSS to artifact identification of raw MEG data and discuss how the quality of the resulting independent component projections can be evalu...

It is anticipated that the eco-friendly sustainable energy sources, e.g., solar, wind and hydro, etc, will be widely used in future green wireless communication networks. In this chapter, the characteristics of green energy are presented, and some existing energy-efficient green approaches for infrastructure-based wireless networks are investigated. The optimal deployment of green base stations...