Incentives for Truthful Information Elicitation of Continuous Signals

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Sign Language conveys information through multiple channels composed of manual (handshape, hand movement) and non-manual (facial expression, mouthing, body posture) components. Sign language assessment involves giving granular feedback to a learner, in ter ...

Beliefs inform the behaviour of forward-thinking agents in complex environments. Recently, sequential Bayesian inference has emerged as a mechanism to study belief formation among agents adapting to dynamical conditions. However, we lack critical theory to ...

The opportunistic pathogen Pseudomonas aeruginosa adapts to solid surfaces to enhance virulence and infect its host. Type IV pili (T4P), long and thin filaments that power surface-specific twitching motility, allow single cells to sense surfaces and contro ...

We discuss the effects of image scanning microscopy using doughnut beam illumination on the properties of signal strength and integrated intensity. Doughnut beam illumination can give better optical sectioning and background rejection than Airy disk illumi ...

Photoplethysmography (PPG) is a widely emerging method to assess vascular health in humans. The origins of the signal of reflective PPG on peripheral arteries have not been thoroughly investigated. We aimed to identify and quantify the optical and biomecha ...

Community structure in graph-modeled data appears in a range of disciplines that comprise network science. Its importance relies on the influence it bears on other properties of graphs such as resilience, or prediction of missing connections. Nevertheless, ...

We consider the problem of learning implicit neural representations (INRs) for signals on non-Euclidean domains. In the Euclidean case, INRs are trained on a discrete sampling of a signal over a regular lattice. Here, we assume that the continuous signal e ...

Compressed Sensing teaches us that measurements can be traded for offline computation if the signal being sensed has a simple enough representation. Proper decoders can exactly recover the high-dimensional signal of interest from a lower-dimensional vector ...

A method for operating a light microscope comprises emitting and guiding a plurality of illumination light beams towards a specimen (6) to form a plurality of separated illumination light spots (2A, 2B, 2C, 2D) at the specimen; and guiding detection light ...

Dissolution-DNP is a method to boost liquid-state NMR sensitivity by several orders of magnitude. The technique consists in hyperpolarizing samples by solid-state dynamic nuclear polarization at low temperature and moderate magnetic field, followed by an i ...

In the analysis of power grid waveforms, the presence of amplitude or phase steps can disrupt the estimation of frequency and rate-of-change-of-frequency (ROCOF). Standard methods based on phasor-models fail in the extraction of signal parameters during th ...

A system for measuring synchrony between two or more regions, or within a single region, of a subject's brain. The system can include a signal conditioning module in communication with a phase extraction module. The signal conditioning module can receive a ...

An optical device for the in noninvasive determination of the concentration of glucose or another analyte in blood using a combination of Raman spectrometry and PPG. The device includes an optical detector, preferably a CMOS imager including pinned photodi ...

Background. Latencies of motor evoked potentials (MEPs) can provide insights into the motor neuronal pathways activated by transcranial magnetic stimulation. Notwithstanding its clinical relevance, accurate, unbiased methods to automatize latency detection ...

A neuromodulation system (10,110) is disclosed, especially a neurostimulation system (10,110), for treating a patient, especially for enhancing at least one autonomous function such a blood circulation and/or respiration, wherein the system comprises • - a ...

Deep convolutional neural networks have recently emerged as a state-of-the art tool in detection of seizures. Such models offer the ability to extract complex nonlinear representations of an electroencephalogram (EEG) signal which can improve accuracy over ...

In alpine skiing, intermediate times are usually measured with photocells. However, for practical reasons, the number of intermediate cells is limited to three⁻four, making a detailed timing analysis difficult. In this paper, we propose and validate a magn ...

Reconstructing continuous signals based on a small number of discrete samples is a fundamental problem across science and engineering. We are often interested in signals with "simple" Fourier structure - e.g., those involving frequencies within a bounded r ...

The distribution of axon diameters (ADD) is an important white matter feature: it influences action potential speed, it has been shown to evolve during development, and also to be affected during pathological processes. Diffusion Magnetic Resonance Imaging ...

In this paper, we propose an algorithm to detect a specific kind of distortions, referred to as seams, which commonly occur when a 360-degree image is represented in planar domain by projecting the sphere to a polyhedron, e.g, via the Cube Map (CM) project ...

Incentives for Truthful Information Elicitation of Continuous Signals

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Posterior-Based Analysis of Spatio-Temporal Features for Sign Language Assessment

Stochastic pairwise preference convergence in Bayesian agents

Two antagonistic response regulators control Pseudomonas aeruginosa polarization during mechanotaxis

Image scanning microscopy with a doughnut beam: signal strength and integrated intensity

Quantification of the Phenomena Affecting Reflective Arterial Photoplethysmography

Graph signal processing tailored for subgraph focus and community structure

Generalised Implicit Neural Representations

On the optimal sampling design for the Graph Total Variation decoder: recovering piecewise-constant graph signals from a few vertex measurements

Method and light microscope with a plurality of arrays of photon-counting detector elements

Hyperpolarization via dissolution dynamic nuclear polarization: new technological and methodological advances

Step Change Detection for Improved ROCOF Evaluation of Power System Waveforms

Systems and methods for energy-efficient measurement of neurophysiological oscillations

Non-invasive glucose sensor

An automatized method to determine latencies of motor-evoked potentials under physiological and pathophysiological conditions

System for closed loop control of autonomic function

Noise-Resilient and Interpretable Epileptic Seizure Detection

A Magnet-Based Timing System to Detect Gate Crossings in Alpine Ski Racing

A Universal Sampling Method for Reconstructing Signals with Simple Fourier Transforms

Towards non-parametric reconstruction of axon diameter distributions using diffusion MRI and regularized discrete linear modeling

Graph-Based Detection of Seams In 360-Degree Images