Didjeribone: Construction, intonation and sound spectrum analysis

Author(s):  
Krstic Sonja ◽  
Drincic Dragan ◽  
Milosevic Mirko
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maruska Giselle Salvatierra Blaisdell ◽  
Changsang Yun

PurposeThis study aims to examine the effect of laundering on the softness and smoothness of terry-cloth towels by different washing machine type, washing temperature, drying method and the use of fabric softener, using a newly developed sound spectrum analysis known as Textile Softness Analyzer.Design/methodology/approachThe experiment was designed to analyze the most significant laundering parameter in the reduction of softness and smoothness of terry cloth during one laundering cycle up to ten cycles by testing samples using TSA machine.FindingsA front-loading washer had a significant effect on reducing softness and smoothness in comparison to a top-loading machine; line-drying resulted in a higher decrease in softness and smoothness than tumble-drying. Washing temperature showed no significant effect, and the use of softener during washing was able to reduce the negative effect of line-drying on the softness and smoothness of terry cloth.Originality/valueThis paper provided information on the laundering parameters that can maintain the softness and smoothness of terry-cloth towels, and this was examined with sound spectrum analysis to measure softness and smoothness of textiles.


2017 ◽  
Vol 55 (3) ◽  
pp. 219-228 ◽  
Author(s):  
Mayumi Enseki ◽  
Mariko Nukaga ◽  
Hideyuki Tabata ◽  
Kota Hirai ◽  
Shinichi Matsuda ◽  
...  

1986 ◽  
Vol 152 (2) ◽  
pp. 196-201 ◽  
Author(s):  
D.Preston Flanigan ◽  
Kim R. Sobinsky ◽  
Billie Gray

2016 ◽  
Vol 54 (1) ◽  
pp. 20-28 ◽  
Author(s):  
Hideyuki Tabata ◽  
Mariko Hirayama ◽  
Mayumi Enseki ◽  
Mariko Nukaga ◽  
Kota Hirai ◽  
...  

2015 ◽  
Vol 38 (05) ◽  
pp. 549-555 ◽  
Author(s):  
Ann Thuring ◽  
Karin Källén ◽  
K. Brännström ◽  
Tomas Jansson ◽  
Karel Maršál

Abstract Purpose To investigate the predictive capacity of a new method for sound spectrum analysis of Doppler signals recorded from the umbilical artery in high-risk pregnancies. Material and Methods The retrospective study comprised 127 pregnant women with various pregnancy complications between 23 and 39 gestational weeks. Umbilical artery blood flow velocity waveforms were recorded with Doppler ultrasound and characterized by pulsatility index (PI) and blood flow class (BFC). Doppler audio signals were stored on a digital video recorder and the sound frequency at the energy level 15 dB below its peak (MAXpeak-15 dB) was estimated off-line. The prediction of probability for composite adverse pregnancy outcome (operative delivery for fetal distress, admission to neonatal intensive care unit, perinatal death) was evaluated using the area under the curve (AUC) of the receiver operating characteristics (ROC) curve. Results With increasing umbilical artery BFC, the MAXpeak-15 dB frequencies decreased (p < 0.0001) and the PI increased (p < 0.0001). The ROC AUCs for adverse outcome for MAXpeak-15 dB and for PI were 0.842 and 0.836 (p = 0.88), respectively. For the combination of MAXpeak-15 dB and PI, the corresponding AUC was 0.894, significantly higher than that of PI (p < 0.03) and of MAXpeak-15 dB (p < 0.05). Conclusion Umbilical artery Doppler sound spectrum analysis might be a useful supplement to PI in the clinical evaluation of fetoplacental circulation.


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