11,589 research outputs found
In-situ Broadband Cryogenic Calibration for Two-port Superconducting Microwave Resonators
We introduce an improved microwave calibration method for use in a cryogenic
environment, based on a traditional three-standard calibration, the
Thru-Reflect-Line (TRL) calibration. The modified calibration method takes
advantage of additional information from multiple measurements of an ensemble
of realizations of a superconducting resonator, as a new pseudo-Open standard,
to correct errors in the TRL calibration. We also demonstrate an experimental
realization of this in-situ broadband cryogenic calibration system utilizing
cryogenic switches. All calibration measurements are done in the same thermal
cycle as the measurement of the resonator (requiring only an additional 20
minutes), thus avoiding 4 additional thermal cycles for traditional TRL
calibration (which would require an additional 12 days). The experimental
measurements on a wave-chaotic microwave billiard verify that the new method
significantly improves the measured scattering matrix of a high-quality-factor
superconducting resonator.Comment: 9 pages, 8 figure
A first-principles model of time-dependent variations in transmission through a fluctuating scattering environment
Fading is the time-dependent variation in transmitted signal strength through
a complex medium, due to interference or temporally evolving multipath
scattering. In this paper we use random matrix theory (RMT) to establish a
first-principles model for fading, including both universal and non-universal
effects. This model provides a more general understanding of the most common
statistical models (Rayleigh fading and Rice fading) and provides a detailed
physical basis for their parameters. We also report experimental tests on two
ray-chaotic microwave cavities. The results show that our RMT model agrees with
the Rayleigh/Rice models in the high loss regime, but there are strong
deviations in low-loss systems where the RMT approach describes the data well.Comment: 4 pages, 2 figure
Predicting the statistics of wave transport through chaotic cavities by the Random Coupling Model: a review and recent progress
In this review, a model (the Random Coupling Model) that gives a statistical
description of the coupling of radiation into and out of large enclosures
through localized and/or distributed channels is presented. The Random Coupling
Model combines both deterministic and statistical phenomena. The model makes
use of wave chaos theory to extend the classical modal description of the
cavity fields in the presence of boundaries that lead to chaotic ray
trajectories. The model is based on a clear separation between the universal
statistical behavior of the isolated chaotic system, and the deterministic
coupling channel characteristics. Moreover, the ability of the random coupling
model to describe interconnected cavities, aperture coupling, and the effects
of short ray trajectories is discussed. A relation between the random coupling
model and other formulations adopted in acoustics, optics, and statistical
electromagnetics, is examined. In particular, a rigorous analogy of the random
coupling model with the Statistical Energy Analysis used in acoustics is
presented.Comment: 32 pages, 9 figures, submitted to 'Wave Motion', special issue
'Innovations in Wave Model
Experimental Examination of the Effect of Short Ray Trajectories in Two-port Wave-Chaotic Scattering Systems
Predicting the statistics of realistic wave-chaotic scattering systems
requires, in addition to random matrix theory, introduction of system-specific
information. This paper investigates experimentally one aspect of
system-specific behavior, namely the effects of short ray trajectories in
wave-chaotic systems open to outside scattering channels. In particular, we
consider ray trajectories of limited length that enter a scattering region
through a channel (port) and subsequently exit through a channel (port). We
show that a suitably averaged value of the impedance can be computed from these
trajectories and that this can improve the ability to describe the statistical
properties of the scattering systems. We illustrate and test these points
through experiments on a realistic two-port microwave scattering billiard.Comment: 14 pages, 9 figure
Computational depth of anesthesia via multiple vital signs based on artificial neural networks
This study evaluated the depth of anesthesia (DoA) index using artificial neural networks (ANN) which is performed as the modeling technique. Totally 63-patient data is addressed, for both modeling and testing of 17 and 46 patients, respectively. The empirical mode decomposition (EMD) is utilized to purify between the electroencephalography (EEG) signal and the noise. The filtered EEG signal is subsequently extracted to achieve a sample entropy index by every 5-second signal. Then, it is combined with other mean values of vital signs, that is, electromyography (EMG), heart rate (HR), pulse, systolic blood pressure (SBP), diastolic blood pressure (DBP), and signal quality index (SQI) to evaluate the DoA index as the input. The 5 doctor scores are averaged to obtain an output index. The mean absolute error (MAE) is utilized as the performance evaluation. 10-fold cross-validation is performed in order to generalize the model. The ANN model is compared with the bispectral index (BIS). The results show that the ANN is able to produce lower MAE than BIS. For the correlation coefficient, ANN also has higher value than BIS tested on the 46-patient testing data. Sensitivity analysis and cross-validation method are applied in advance. The results state that EMG has the most effecting parameter, significantly.This research is financially supported by the Ministry of Science and Technology (MOST) of Taiwan. This research is also supported by the Centre for Dynamical Biomarkers and Translational Medicine, National Central University, Taiwan, which is also sponsored by MOST (MOST103-2911-I-008-001). Also, it is supported by National Chung-Shan Institute of Science & Technology in Taiwan (Grant nos. CSIST-095-V301 and CSIST-095-V302)
Status of Spin Physics - Experimental Summary
The current status of spin physics experiments, based on talks presented at
the Third Circum-Pan-Pacific Symposium on High Energy Spin Physics held in
Beijing, 2001, is summarized in this article. Highlights of recent experimental
results at SLAC, JLab, and DESY, as well as future plans at these facilities
and at RHIC-spin are discussed.Comment: 18 pages, 7 figures, Invited talk presented at the Third
Circum-Pan-Pacific Symposium on High Energy Spin Physics held in Beijing,
October, 200
Rapid degradation of mutant SLC25A46 by the ubiquitin-proteasome system results in MFN1/2-mediated hyperfusion of mitochondria.
SCL25A46 is a mitochondrial carrier protein that surprisingly localizes to the outer membrane and is distantly related to Ugo1. Here we show that a subset of SLC25A46 interacts with mitochondrial dynamics components and the MICOS complex. Decreased expression of SLC25A46 results in increased stability and oligomerization of MFN1 and MFN2 on mitochondria, promoting mitochondrial hyperfusion. A mutation at L341P causes rapid degradation of SLC25A46, which manifests as a rare disease, pontocerebellar hypoplasia. The E3 ubiquitin ligases MULAN and MARCH5 coordinate ubiquitylation of SLC25A46 L341P, leading to degradation by organized activities of P97 and the proteasome. Whereas outer mitochondrial membrane-associated degradation is typically associated with apoptosis or a specialized type of autophagy termed mitophagy, SLC25A46 degradation operates independently of activation of outer membrane stress pathways. Thus SLC25A46 is a new component in mitochondrial dynamics that serves as a regulator for MFN1/2 oligomerization. Moreover, SLC25A46 is selectively degraded from the outer membrane independently of mitophagy and apoptosis, providing a framework for mechanistic studies in the proteolysis of outer membrane proteins
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