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View article: Fungal necrotizing otitis externa; challenges in diagnosis and therapy
Fungal necrotizing otitis externa; challenges in diagnosis and therapy Open
Purpose Necrotizing otitis externa (NOE) is a severe infection with potential skull base involvement. The role of fungal pathogens and the need for antifungal treatment remain controversial. We aimed to evaluate clinical characteristics, d…
View article: P081 Residual daytime sleepiness in CPAP-treated OSA patients
P081 Residual daytime sleepiness in CPAP-treated OSA patients Open
Introduction Obstructive sleep apnoea (OSA) frequently causes excessive daytime sleepiness (EDS). EDS impairs quality-of-life and can induce motor vehicle accidents or workplace injuries. Treatment dogma would suggest that CPAP (continuous…
View article: Statistical Signal Processing for Quantum Error Mitigation
Statistical Signal Processing for Quantum Error Mitigation Open
In the noisy intermediate-scale quantum (NISQ) era, quantum error mitigation (QEM) is essential for producing reliable outputs from quantum circuits. We present a statistical signal processing approach to QEM that estimates the most likely…
View article: Quantum Advantage in Trading: A Game-Theoretic Approach
Quantum Advantage in Trading: A Game-Theoretic Approach Open
Quantum games, like quantum algorithms, exploit quantum entanglement to establish strong correlations between strategic player actions. This paper introduces quantum game-theoretic models applied to trading and demonstrates their implement…
View article: Quantum Advantage in Trading: A Game-Theoretic Approach
Quantum Advantage in Trading: A Game-Theoretic Approach Open
Quantum games, like quantum algorithms, exploit quantum entanglement to establish strong correlations between strategic player actions. This paper introduces quantum game-theoretic models applied to trading and demonstrates their implement…
View article: Q-Cluster: Quantum Error Mitigation Through Noise-Aware Unsupervised Learning
Q-Cluster: Quantum Error Mitigation Through Noise-Aware Unsupervised Learning Open
Quantum error mitigation (QEM) is critical in reducing the impact of noise in the pre-fault-tolerant era, and is expected to complement error correction in fault-tolerant quantum computing (FTQC). In this paper, we propose a novel QEM appr…
View article: Fractional CO2 Laser for Pediatric Hypertrophic Scars: Lessons Learned from a Prematurely Terminated Split-Scar Trial
Fractional CO2 Laser for Pediatric Hypertrophic Scars: Lessons Learned from a Prematurely Terminated Split-Scar Trial Open
Background: Assessing hypertrophic scar (HTS) interventions is challenging because scars continue to undergo dynamic changes. A split-scar design can distinguish treatment effects from natural HTS evolution. Despite promising reports of ab…
View article: Quantum Advantage in Trading: A Game-Theoretic Approach
Quantum Advantage in Trading: A Game-Theoretic Approach Open
Quantum games, like quantum algorithms, exploit quantum entanglement to establish strong correlations between strategic player actions. This paper introduces quantum game-theoretic models applied to trading and demonstrates their implement…
View article: Implementing Finite Impulse Response Filters on Quantum Computers
Implementing Finite Impulse Response Filters on Quantum Computers Open
While signal processing is a mature area, its connections with quantum computing have received less attention. In this work, we propose approaches that perform classical discrete-time signal processing using quantum systems. Our approaches…
View article: On-orbit mission overview of the low power hall thruster propulsion system aboard venμs satellite
On-orbit mission overview of the low power hall thruster propulsion system aboard venμs satellite Open
Venμs is a satellite launched in 2017, for super-spectral Earth imaging and Electric Propulsion System (EPS) demonstration. In this paper we overview EPS design and operation throughout all five mission phases, from open/closed-loop orbit …
View article: On-Orbit Mission Overview of the Low Power Hall Thruster Propulsion System aboard Venμs Satellite
On-Orbit Mission Overview of the Low Power Hall Thruster Propulsion System aboard Venμs Satellite Open
Venµs is a satellite launched in 2017, for super-spectral Earth imaging and Electric Propulsion System (EPS) demonstration. In this paper we overview EPS design and operation throughout all five mission phases, from open/closed-loop orbit …
View article: Maximum Likelihood Quantum Error Mitigation for Algorithms with a Single Correct Output
Maximum Likelihood Quantum Error Mitigation for Algorithms with a Single Correct Output Open
Quantum error mitigation is an important technique to reduce the impact of noise in quantum computers. With more and more qubits being supported on quantum computers, there are two emerging fundamental challenges. First, the number of shot…
View article: Group Testing with Side Information via Generalized Approximate Message Passing
Group Testing with Side Information via Generalized Approximate Message Passing Open
Group testing can help maintain a widespread testing program using fewer resources amid a pandemic. In a group testing setup, we are given n samples, one per individual. Each individual is either infected or uninfected. These samples are a…
View article: Mismatched Estimation in the Distance Geometry Problem
Mismatched Estimation in the Distance Geometry Problem Open
We investigate mismatched estimation in the context of the distance geometry problem (DGP). In the DGP, for a set of points, we are given noisy measurements of pairwise distances between the points, and our objective is to determine the ge…
View article: Gradient Obfuscation Gives a False Sense of Security in Federated Learning
Gradient Obfuscation Gives a False Sense of Security in Federated Learning Open
Federated learning has been proposed as a privacy-preserving machine learning framework that enables multiple clients to collaborate without sharing raw data. However, client privacy protection is not guaranteed by design in this framework…
View article: Contact Tracing Information Improves the Performance of Group Testing\n Algorithms
Contact Tracing Information Improves the Performance of Group Testing\n Algorithms Open
Group testing can help maintain a widespread testing program using fewer\nresources amid a pandemic. In group testing, we are given $n$ samples, one per\nindividual. These samples are arranged into $m < n$ pooled samples, where each\npool …
View article: Contact Tracing Information Improves the Performance of Group Testing Algorithms
Contact Tracing Information Improves the Performance of Group Testing Algorithms Open
Group testing can help maintain a widespread testing program using fewer resources amid a pandemic. In group testing, we are given $n$ samples, one per individual. These samples are arranged into $m < n$ pooled samples, where each pool is …
View article: Contact Tracing Enhances the Efficiency of Covid-19 Group Testing
Contact Tracing Enhances the Efficiency of Covid-19 Group Testing Open
Group testing can save testing resources in the context of the ongoing COVID-19 pandemic. In group testing, we are given $n$ samples, one per individual, and arrange them into $m < n$ pooled samples, where each pool is obtained by mixing a…
View article: Local Convergence of an AMP Variant to the LASSO Solution in Finite Dimensions
Local Convergence of an AMP Variant to the LASSO Solution in Finite Dimensions Open
A common sparse linear regression formulation is the l1 regularized least squares, which is also known as least absolute shrinkage and selection operator (LASSO). Approximate message passing (AMP) has been proved to asymptotically achieve …
View article: mmWave Channel Estimation via Approximate Message Passing with Side\n Information
mmWave Channel Estimation via Approximate Message Passing with Side\n Information Open
This work considers millimeter-wave channel estimation in a setting where\nparameters of the underlying mmWave channels are varying dynamically over time\nand there is a single drifting path. In this setting, channel estimates at time\nblo…
View article: mmWave Channel Estimation via Approximate Message Passing with Side Information
mmWave Channel Estimation via Approximate Message Passing with Side Information Open
This work considers millimeter-wave channel estimation in a setting where parameters of the underlying mmWave channels are varying dynamically over time and there is a single drifting path. In this setting, channel estimates at time block …
View article: Noisy Pooled PCR for Virus Testing
Noisy Pooled PCR for Virus Testing Open
Fast testing can help mitigate the coronavirus disease 2019 (COVID-19) pandemic. Despite their accuracy for single sample analysis, infectious diseases diagnostic tools, like RT-PCR, require substantial resources to test large populations.…
View article: Noisy Pooled PCR for Virus Testing
Noisy Pooled PCR for Virus Testing Open
Fast testing can help mitigate the coronavirus disease 2019 (COVID-19) pandemic. Despite their accuracy for single sample analysis, infectious diseases diagnostic tools, like RT-PCR, require substantial resources to test large populations.…
View article: Noisy Pooled PCR for Virus Testing
Noisy Pooled PCR for Virus Testing Open
Fast testing can help mitigate the coronavirus disease 2019 (COVID-19) pandemic. Despite their accuracy for single sample analysis, infectious diseases diagnostic tools, like RT-PCR, require substantial resources to test large populations.…
View article: Rigorous State Evolution Analysis for Approximate Message Passing with Side Information
Rigorous State Evolution Analysis for Approximate Message Passing with Side Information Open
A common goal in many research areas is to reconstruct an unknown signal x from noisy linear measurements. Approximate message passing (AMP) is a class of low-complexity algorithms that can be used for efficiently solving such high-dimensi…
View article: Channel Estimation in mmWave Hybrid MIMO System via Off-Grid Dirichlet Kernels
Channel Estimation in mmWave Hybrid MIMO System via Off-Grid Dirichlet Kernels Open
In this paper, we tackle channel estimation in millimeter-wave hybrid multiple-input multiple-output systems by considering off-grid effects. In particular, we assume that spatial parameters can take any value in the angular domain, and ne…
View article: Bayesian Nonlinear Function Estimation with Approximate Message Passing
Bayesian Nonlinear Function Estimation with Approximate Message Passing Open
In many areas, massive amounts of data are collected and analyzed in order to explain various phenomena. Variables or features that may explain the phenomena of interest are observed, and the goal is to learn a (possibly) nonlinear functio…
View article: Nonlinear Function Estimation with Empirical Bayes and Approximate Message Passing
Nonlinear Function Estimation with Empirical Bayes and Approximate Message Passing Open
Nonlinear function estimation is core to modern machine learning applications. In this paper, to perform nonlinear function estimation, we reduce a nonlinear inverse problem to a linear one using a polynomial kernel expansion. These kernel…
View article: Understanding the Scientific Basis of Post-traumatic Stress Disorder (PTSD): Precision Behavioral Management Overrides Stigmatization
Understanding the Scientific Basis of Post-traumatic Stress Disorder (PTSD): Precision Behavioral Management Overrides Stigmatization Open
View article: Analysis of Approximate Message Passing with Non-Separable Denoisers and Markov Random Field Priors
Analysis of Approximate Message Passing with Non-Separable Denoisers and Markov Random Field Priors Open
Approximate message passing (AMP) is a class of low-complexity, scalable algorithms for solving high-dimensional linear regression tasks where one wishes to recover an unknown signal from noisy, linear measurements. AMP is an iterative alg…