The just noticeable difference of early decay time (EDT)

2020 ◽  
Vol 148 (4) ◽  
pp. 2772-2772
Author(s):  
Fernando M. del Solar Dorrego ◽  
Michelle C. Vigeant
Keyword(s):  
Decay Time ◽  
Just Noticeable Difference

A study of the just noticeable difference of early decay time for symphonic halls

2022 ◽  
Vol 151 (1) ◽  
pp. 80-94
Author(s):  
Fernando del Solar Dorrego ◽  
Michelle C. Vigeant
Keyword(s):  
Decay Time ◽  
Just Noticeable Difference

A testing paradigm for quantifying ICC profilers

2019 ◽  
Vol 2019 (1) ◽  
pp. 80-85
Author(s):  
Pooshpanjan Roy Biswas ◽  
Alessandro Beltrami ◽  
Joan Saez Gomez
Keyword(s):  
Digital Camera ◽  
Visual Assessment ◽  
Just Noticeable Difference ◽  
Color Management ◽  
Color Gamut ◽  
Gamut Mapping ◽  
Digital File ◽  
Mapping Process ◽  
Testing Paradigm

To reproduce colors in one system which differs from another system in terms of the color gamut, it is necessary to use a color gamut mapping process. This color gamut mapping is a method to translate a specific color from a medium (screen, digital camera, scanner, digital file, etc) into another system having a difference in gamut volume. There are different rendering intent options defined by the International Color Consortium [5] to use the different reproduction goals of the user [19]. Any rendering intent used to reproduce colors, includes profile engine decisions to do it, i.e. looking for color accuracy, vivid colors or pleasing reproduction of images. Using the same decisions on different profile engines, the final visual output can look different (more than one Just Noticeable Difference[16]) depending on the profile engine used and the color algorithms that they implement. Profile performance substantially depends on the profiler engine used to create them. Different profilers provide the user with varying levels of liberty to design a profile for their color management needs and preference. The motivation of this study is to rank the performance of various market leading profiler engines on the basis of different metrics designed specifically to report the performance of particular aspects of these profiles. The study helped us take valuable decisions regarding profile performance without any visual assessment to decide on the best profiler engine.

A simple method for the optimization of the decay time in pulse polarography

1988 ◽  
Vol 53 (6) ◽  
pp. 1149-1155
Author(s):  
Jorge A. Bolzan
Keyword(s):  
Double Layer ◽  
Decay Time ◽  
Sampling Time ◽  
Simple Method ◽  
Faradaic Current ◽  
Maximum Value ◽  
Pulse Polarography ◽  
Null Value ◽  
Polarographic Current

A simple method for optimization of the minimum decay time, previous to the sampling time of the polarographic current, is described. The former should make compatible two requisites: it should be short enough for obtaining the maximum value of the faradaic current and long enough for the minimum or null value of the double layer decay current. The method is performed with the pulse polarograph only, without ancillary instruments, is fast and its accuracy is fairly comparable with earlier methods, which were more accurate but by far more involved to perform.

Tuning the decay time of liquid scintillators

2021 ◽  
pp. 118021
Author(s):  
Matthieu Hamel ◽  
Benoît Sabot ◽  
Chavdar Dutsov ◽  
Guillaume H.V. Bertrand ◽  
Krasimir Mitev
Keyword(s):  
Decay Time

scholarly journals Measurement of Decay Time Constant of Shielding Current in ITER-TF Joint Samples

2021 ◽  
Vol 1857 (1) ◽  
pp. 012013
Author(s):  
S Imagawa ◽  
H Kajitani ◽  
T Obana ◽  
S Takada ◽  
S Hamaguchi ◽  
...  
Keyword(s):  
Time Constant ◽  
Decay Time ◽  
Decay Time Constant

scholarly journals Self-generation and sound intensity interactively modulate perceptual bias, but not perceptual sensitivity

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Nadia Paraskevoudi ◽  
Iria SanMiguel
Keyword(s):  
Stimulus Intensity ◽  
Empirical Support ◽  
Sound Intensity ◽  
Perceptual Bias ◽  
Perceptual Processing ◽  
Interactive Effects ◽  
Just Noticeable Difference ◽  
External Sources ◽  
Motor Actions ◽  
Near Threshold

AbstractThe ability to distinguish self-generated stimuli from those caused by external sources is critical for all behaving organisms. Although many studies point to a sensory attenuation of self-generated stimuli, recent evidence suggests that motor actions can result in either attenuated or enhanced perceptual processing depending on the environmental context (i.e., stimulus intensity). The present study employed 2-AFC sound detection and loudness discrimination tasks to test whether sound source (self- or externally-generated) and stimulus intensity (supra- or near-threshold) interactively modulate detection ability and loudness perception. Self-generation did not affect detection and discrimination sensitivity (i.e., detection thresholds and Just Noticeable Difference, respectively). However, in the discrimination task, we observed a significant interaction between self-generation and intensity on perceptual bias (i.e. Point of Subjective Equality). Supra-threshold self-generated sounds were perceived softer than externally-generated ones, while at near-threshold intensities self-generated sounds were perceived louder than externally-generated ones. Our findings provide empirical support to recent theories on how predictions and signal intensity modulate perceptual processing, pointing to interactive effects of intensity and self-generation that seem to be driven by a biased estimate of perceived loudness, rather by changes in detection and discrimination sensitivity.

A NEW GAMMA TRANSITION FOLLOWING THE DECAY OF 2.4-MINUTE 108AG

1964 ◽  
Vol 42 (11) ◽  
pp. 2173-2179 ◽  
Author(s):  
H. W. Taylor ◽  
T. A. Eastwood
Keyword(s):  
Decay Time ◽  
Gamma Ray ◽  
Gamma Transition ◽  
Full Energy Peak ◽  
Full Energy ◽  
Low Intensity ◽  
Energy Peak ◽  
Gamma Coincidence

A low-intensity peak has been found at 1010 ± 30 keV in the gamma-ray spectrum of 2.4-minute 108Ag obtained with NaI scintillation spectrometers. Consideration of the source-to-crystal distance as well as the effects of absorbers and decay time shows that it is the full-energy peak of a 1010 ± 30 keV gamma ray emitted by 108Ag. Gamma–gamma coincidence studies indicate that this gamma transition occurs between a new level at 1433 ± 30 and the 433-keV level of 108Pd.

scholarly journals Modelling Degradation and Replication Kinetics of the Zika Virus In Vitro Infection

Viruses ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 547
Author(s):  
Veronika Bernhauerová ◽  
Veronica V. Rezelj ◽  
Marco Vignuzzi
Keyword(s):  
Mathematical Model ◽  
Viral Infection ◽  
Host Cell ◽  
Decay Time ◽  
Zika Virus ◽  
Infectious Virus ◽  
Numerical Characterization ◽  
The Mathematical Model

Mathematical models of in vitro viral kinetics help us understand and quantify the main determinants underlying the virus–host cell interactions. We aimed to provide a numerical characterization of the Zika virus (ZIKV) in vitro infection kinetics, an arthropod-borne emerging virus that has gained public recognition due to its association with microcephaly in newborns. The mathematical model of in vitro viral infection typically assumes that degradation of extracellular infectious virus proceeds in an exponential manner, that is, each viral particle has the same probability of losing infectivity at any given time. We incubated ZIKV stock in the cell culture media and sampled with high frequency for quantification over the course of 96 h. The data showed a delay in the virus degradation in the first 24 h followed by a decline, which could not be captured by the model with exponentially distributed decay time of infectious virus. Thus, we proposed a model, in which inactivation of infectious ZIKV is gamma distributed and fit the model to the temporal measurements of infectious virus remaining in the media. The model was able to reproduce the data well and yielded the decay time of infectious ZIKV to be 40 h. We studied the in vitro ZIKV infection kinetics by conducting cell infection at two distinct multiplicity of infection and measuring viral loads over time. We fit the mathematical model of in vitro viral infection with gamma distributed degradation time of infectious virus to the viral growth data and identified the timespans and rates involved within the ZIKV-host cell interplay. Our mathematical analysis combined with the data provides a well-described example of non-exponential viral decay dynamics and presents numerical characterization of in vitro infection with ZIKV.

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