Signal mixing in a multiple input transistor laser near threshold

2006 ◽  
Vol 88 (6) ◽  
pp. 063509 ◽  
Author(s):  
M. Feng ◽  
N. Holonyak ◽  
R. Chan ◽  
A. James ◽  
G. Walter
Keyword(s):  
Input Transistor ◽  
Transistor Laser ◽  
Multiple Input ◽  
Near Threshold

Hearing in Mice via GSR Audiometry

1963 ◽  
Vol 6 (4) ◽  
pp. 359-368 ◽  
Author(s):  
Charles I. Berlin
Keyword(s):  
Inverse Relationship ◽  
Sound Pressure ◽  
Single Units ◽  
Sensitivity Curve ◽  
Basic Tool ◽  
Eighth Nerve ◽  
Pure Tones ◽  
Conditioned Responses ◽  
Frequency Intensity ◽  
Near Threshold

Hearing in mice has been difficult to measure behaviorally. With GSR as the basic tool, the sensitivity curve to pure tones in mice has been successfully outlined. The most sensitive frequency-intensity combination was 15 000 cps at 0-5 dB re: 0.0002 dyne/cm 2 , with responses noted from 1 000 to beyond 70 000 cps. Some problems of reliability of conditioning were encountered, as well as findings concerning the inverse relationship between the size of GSR to unattenuated tones and the sound pressure necessary to elicit conditioned responses at or near threshold. These data agree well with the sensitivity of single units of the eighth nerve of the mouse.

Reliability of odor measurements near threshold.

1988 ◽  
Author(s):  
Birgitta Berglund ◽  
Lennart Hoegman ◽  
Ingegerd Johansson
Keyword(s):  
Near Threshold

NEAR THRESHOLD MEASUREMENTS OF THE K SHELL SATELLITES OF CO AND N2

1987 ◽  
Vol 48 (C9) ◽  
pp. C9-773-C9-776 ◽  
Author(s):  
J. FELDHAUS ◽  
A. REIMER ◽  
J. SCHIRMER ◽  
A. M. BRADSHAW ◽  
U. BECKER ◽  
...  
Keyword(s):  
Near Threshold

An Effective Model of the Overshooting Effect for Multiple-Input Gates in Nanometer Technologies

2014 ◽  
Vol E97.A (5) ◽  
pp. 1059-1074
Author(s):  
Li DING ◽  
Zhangcai HUANG ◽  
Atsushi KUROKAWA ◽  
Jing WANG ◽  
Yasuaki INOUE
Keyword(s):  
Effective Model ◽  
Multiple Input

Model Fungsi Transfer Input Ganda untuk Pemodelan Jakarta Islamic Index

2019 ◽  
Vol 7 (3) ◽  
Author(s):  
Nur Laela Fitriani ◽  
Pika Silvianti ◽  
Rahma Anisa
Keyword(s):  
Exchange Rate ◽  
Transfer Function ◽  
Multivariate Time Series ◽  
Model Identification ◽  
Transfer Function Model ◽  
Function Model ◽  
Jones Index ◽  
Multiple Input ◽  
Identification Stage ◽  
Stage Estimation

Transfer function model with multiple input is a multivariate time series forecasting model that combines several characteristics of ARIMA models by utilizing some regression analysis properties. This model is used to determine the effect of output series towards input series so that the model can be used to analyze the factors that affect the Jakarta Islamic Index (JII). The USD exchange rate against rupiah and Dow Jones Index (DJI) were used as input series. The transfer function model was constructed through several stages: model identification stage, estimation of transfer function model, and model diagnostic test. Based on the transfer function model, the JII was influenced by JII at the period of one and two days before. JII was also affected by the USD exchange rate against rupiah at the same period and at one and two days before. In addition, the JII was influenced by DJI at the same period and also at period of one until five days ago. The Mean Absolute Prencentage Error (MAPE) value of forecasting result was 0.70% and the correlation between actual and forecast data was 0.77. This shows that the model was well performed for forecasting JII.

General Theory for Multiple Input-Output Perturbations in Complex Molecular Systems. 1. Linear QSPR Electronegativity Models in Physical, Organic, and Medicinal Chemistry

2013 ◽  
Vol 13 (14) ◽  
pp. 1713-1741 ◽  
Author(s):  
Humberto Gonzalez-Diaz ◽  
Sonia Arrasate ◽  
Asier Gomez-SanJuan ◽  
Nuria Sotomayor ◽  
Esther Lete ◽  
...  
Keyword(s):  
General Theory ◽  
Medicinal Chemistry ◽  
Input Output ◽  
Molecular Systems ◽  
Physical Organic ◽  
Multiple Input
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