scholarly journals Correction: A flexible, multifunctional, active terahertz modulator with an ultra-low triggering threshold

2020 ◽  
Vol 8 (30) ◽  
pp. 10474-10474
Author(s):  
He Ma ◽  
Yu Wang ◽  
Lu Rong ◽  
Fangrui Tan ◽  
Yulan Fu ◽  
...  
Keyword(s):  
Triggering Threshold

Correction for ‘A flexible, multifunctional, active terahertz modulator with an ultra-low triggering threshold’ by He Ma et al., J. Mater. Chem. C, 2020, DOI: 10.1039/d0tc02446e.

scholarly journals Frontal Cortical Kindling in Cats

1975 ◽  
Vol 2 (4) ◽  
pp. 493-499 ◽  
Author(s):  
Akira Wake ◽  
Juhn A. Wada
Keyword(s):  
Frontal Lobe ◽  
Final Stage ◽  
Similar Pattern ◽  
Behavior Pattern ◽  
Threshold Intensity ◽  
Cortical Areas ◽  
Triggering Threshold ◽  
Interictal Discharge

SUMMARY:Our observation of amygdaloid seizure development in cats indicated early afterdischarge propagation into basal cortical areas prior to the development of bifrontal sharp theta discharge. In view of the implied participation of the frontal lobe in amygdaloid kindling, both fractional lesioning and kindling of selective areas were performed. This paper summarizes our stimulation study involving premotor, prefrontal, mesial frontal and orbital cortices. Except for the orbital series which showed a rather strikingly similar pattern of seizure development to that of amygdaloid kindling, all areas showed significantly different features in terms of the speed of seizure development, afterdischarge propagation, fragility of developing seizure, final stage 5 seizure and post-ictal behavior pattern, interictal discharge morphology and propagation, and generalized seizure triggering threshold intensity. All these findings suggest that the frontal lobe participates in, but is not essential for, the amygdaloid seizure development. The results of ongoing fractional lesion series support such a conclusion.

scholarly journals Effect of n=3 perturbation field amplitudes below the ELM triggering threshold on edge and SOL transport in NSTX

2013 ◽  
Vol 438 ◽  
pp. S388-S392 ◽  
Author(s):  
J.D. Lore ◽  
J.M. Canik ◽  
J.-W. Ahn ◽  
A. Bortolon ◽  
E.D. Fredrickson ◽  
...  
Keyword(s):  
Perturbation Field ◽  
Triggering Threshold

A flexible, multifunctional, active terahertz modulator with an ultra-low triggering threshold

2020 ◽  
Vol 8 (30) ◽  
pp. 10213-10220
Author(s):  
He Ma ◽  
Yu Wang ◽  
Rong Lu ◽  
Fangrui Tan ◽  
Yulan Fu ◽  
...  
Keyword(s):  
Thin Films ◽  
Carbon Nanotube ◽  
Thz Imaging ◽  
Triggering Threshold

Flexible, multifunctional, active THz modulators with ultra-low triggering threshold were developed by aligned carbon nanotube thin films coated with VO2. These active THz modulators find applications in THz communication and THz imaging.

Triggering threshold precipitation and soil hydrological characteristics of shallow landslides in granitic landscapes

Geomorphology ◽  
2011 ◽  
Vol 133 (3-4) ◽  
pp. 178-189 ◽  
Author(s):  
V. Ruiz-Villanueva ◽  
J.M. Bodoque ◽  
A. Díez-Herrero ◽  
C. Calvo
Keyword(s):  
Shallow Landslides ◽  
Hydrological Characteristics ◽  
Triggering Threshold

A Novel Regression Analysis Method for Randomly Truncated Strong-Motion Data

2019 ◽  
Vol 35 (2) ◽  
pp. 977-1001 ◽  
Author(s):  
Shu-Hsien Chao ◽  
Yi-Hau Chen
Keyword(s):  
Regression Analysis ◽  
Ground Motion ◽  
Strong Motion ◽  
Prediction Equation ◽  
Intensity Measurement ◽  
Likelihood Method ◽  
Biased Sampling ◽  
Motion Data ◽  
Triggering Threshold ◽  
Normally Distributed

Regression analysis is a basic and essential tool for developing the ground motion prediction equation (GMPE). Generally, the probability of intensity measurement for a given ground motion scenario described by several predictors is assumed to be normally distributed. However, because of the triggering threshold of the strong-motion station, ground motion records below the triggering threshold are truncated (i.e., not recorded), and the truncated intensity levels of spectral accelerations at different periods are random variables. Consequently, the sampling of the ground motion data used in GMPE development is biased, and the observed probability of the intensity measurement is no longer normally distributed. Therefore, a novel two-step maximum-likelihood method is proposed in this paper as a regression tool to overcome this problem in GMPE development. The advantage of the proposed method is that the correlation between records from the same events and those from the same sites as well as the biased sampling problem can be considered simultaneously, and more ground motion data can be considered to derive more reliable analysis results.

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