We propose the Gaussian quadrature inference (GQI) method for multicarrier continuousvariable quantum key distribution (CVQKD). A multicarrier CVQKD protocol utilizes Gaussian subcarrier quantum continuous variables (CV) for information transmission. The GQI framework provides a minimal error estimate of the quadratures of the CV quantum states from the discrete, measured noisy subcarrier varia...

The use of modern neuroimaging methods to characterize the complex anatomy of brain development at different stages reveals an enormous wealth of information in understanding this highly ordered process and provides clues to detect neurological and neurobehavioral disorders that have their origin in early structural and functional cerebral maturation. Non-invasive diffusion tensor magnetic reso...

While it is recognized that the overall resistance of glioblastoma to treatment may be related to intra-tumor patterns of structural heterogeneity, imaging methods to assess such patterns remain rudimentary. METHODS We utilized a generalized Q-space imaging (GQI) algorithm to analyze magnetic resonance imaging (MRI) derived from a rodent model of glioblastoma and 2 clinical datasets to correl...

Diffusion weighted imaging (DWI) can reveal the orientation of the underlying fiber populations in the brain. High angular resolution diffusion imaging (HARDI) is increasingly used to better resolve the orientation and mixing of fibers. Here, we assessed the added value of multi-shell q-space sampling on the reconstruction of major fibers using mathematical frameworks from q-ball imaging (QBI) ...

The Gq-coupled receptor-signaling pathway has been implicated in the cardiac hypertrophic response to stress, but little is actually known about the contributions of Gq signaling in either the heart or the vasculature. Therefore, we developed a line of transgenic mice that express a peptide inhibitor of Gq (GqI) in vascular smooth muscle to determine if vascular Gq signaling was important in th...

Introduction: Generalized Q-Sampling Imaging (GQI) has recently been introduced by Yeh and colleagues [1], and was shown to have comparable accuracy to other well established q-space methods when it comes to resolving crossing fibres. In addition, this is achievable with as little as 102 points on a grid sampling scheme, bringing the total acquisition time down to a clinically acceptable level....

We propose an objective measure, called GAN Quality Index (GQI), to evaluate GANs. The idea is to train a GAN-induced classifier from the GAN generated data and use its accuracy on a real test set as a metric to measure how well the GAN model distribution matches the real data distribution. Unlike most existing quantitative measurements of GANs, which only reflect partial characteristics of gen...

We define the statistical quadrature evolution (QE) method for multicarrier continuousvariable quantum key distribution (CVQKD). A multicarrier CVQKD protocol uses Gaussian subcarrier quantum continuous variables (CVs) for information transmission. The QE scheme utilizes the theory of mathematical statistics and statistical information processing. The QE model is based on the Gaussian quadratur...

Background: A new method has been presented specifically for zoning the quality of groundwater for drinking purposes; this method is the groundwater quality index (GQI) method. The present research used the GQI method to qualitatively zoning of the Lenjan groundwater for drinking purposes. Methods: Three phases were applied in this research. In the first phase, working on the quality data of 3...