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1,938 results for “Resonances”
Raw Data for the article: Brain magnetic resonance imaging radiomics features associated with hepatic encephalopathy in adult cirrhotic patients
<p><strong>Purpose: </strong>Hepatic encephalopathy (HE) is a potential complication of cirrhosis. Magnetic resonance imaging (MRI) may demonstrate hyperintense T1 signal in the globi pallidi. The purpose of this study was to evaluate the performance of MRI-based radiomic features for diagnosing and grading chronic HE in adult patients affected by cirrhosis.</p> <p><strong>Methods: </strong>Adult patients with and without cirrhosis underwent brain MRI with identical imaging protocol on a 3T scanner. Patients without history of chronic liver disease were the control population. HE grading was based on underlying liver disease, severity of clinical manifestation, and number of encephalopathic episodes. Texture analysis was performed on axial T1-weighted images on bilateral lentiform nuclei at the level of the foramina of Monro. Diagnostic performance of texture analysis for the diagnosis and grading of HE was assessed by calculating the area under the receiver operating characteristics (AUROC) with 95% confidence interval (CI).</p> <p><strong>Results: </strong>The final study population consisted of 124 patients, 70 cirrhotic patients, and 54 non-cirrhotic controls. Thirty-eight patients had history of HE with 22 having an HE grade > 1. The radiomic features predicted the presence of HE with an AUROC of 0.82 (95% CI: 0.73, 0.90; P < .0001; 82% sensitivity, 66% specificity). Radiomic features predicted grade 1 HE (AUROC 0.75; 95% CI: 0.61, 0.89; P < .0001; 94% sensitivity, 60% specificity) and grade ≥ 2 HE (AUROC 0.82; 95% CI: 0.71, 0.93; P < .0001, 95% sensitivity, 57% specificity).</p> <p><strong>Conclusion: </strong>In cirrhotic patients, MR radiomic is effective in predicting the presence of chronic HE and in grading its severity.</p>
Characterisation of unsteady flow in a 3D-printed Schwarz Diamond monolith using magnetic resonance velocimetry
<p>This data set contains the MRI velocity images presented in the article: Clarke, D, Galvosas, P, Holland, DJ. Characterization of unsteady flow in a 3D-printed Schwarz Diamond monolith using magnetic resonance velocimetry. <em>AIChE J</em>. 2023;e18097. doi:<a href="https://doi.org/10.1002/aic.18097">10.1002/aic.18097</a></p> <p>Images are in the .vtk format and may be viewed using suitable software (e.g. ParaView).</p> <p>*Description edited on 2023/04//21 to include eLocator.</p>
Investigating the fast spectral diffusion of a quantum emitter in hBN using resonant excitation and photon correlations
<p>Data from the article "Investigating the fast spectral diffusion of a quantum emitter in hBN using resonant excitation and photon correlations" (<a href="https://journals.aps.org/prb/abstract/10.1103/PhysRevB.107.195304">Phys. Rev. B <strong>107</strong>, 195304 (2023)</a> – [<a href="https://arxiv.org/abs/2303.05315">arXiv</a>])</p>
Mode characterization and sensitivity evaluation of an ultra-high-frequency surface acoustic wave (UHF-SAW) resonator biosensor: application to the glial-fibrillary-acidic-protein (GFAP) biomarker detection
<p>Biosensors detect specific bio-analytes by generating a measurable signal from the interaction between the sensing element and the target molecule. Surface acoustic wave (SAW) biosensors offer unique advantages due to their high sensitivity, real-time response capability, and label-free detection. The typical SAW modes are the Rayleigh mode and the shear-horizontal mode. Both present pros and cons for biosensing applications and generally need different substrates and device geometries to be efficiently generated. This study investigates and characterizes ultra-high-frequency (UHF-) SAW resonator biosensors. It reveals the simultaneous presence of the two typical SAW modes, clearly separated in frequency, called slow and fast. The two modes are studied by numerical simulations and biosensing experiments with the glial-fibrillary-acidic-protein (GFAP) biomarker. The slow mode is generally more sensitive to changes in surface properties, such as temperature and mass changes, by a factor of about 1.4 with respect to the fast mode.</p>
Two-fluid Physical Modeling of Superconducting Resonators in the ARTEMIS Framework
<p>Input files, data files and scripts to replicate results in "Two-fluid Physical Modeling of Superconducting Resonators in the ARTEMIS Framework" (Jambunathan et el.)</p> <p> </p> <p>Please direct any questions to the corresponding author, Revathi Jambunathan (rjambunathan [at] lbl.gov)</p> <p>Artemis simulations were run using the development branch of artemis <a href="https://github.com/ECP-WarpX/artemis">https://github.com/ECP-WarpX/artemis </a></p> <p>Some simulations in this paper were performed with different commit hashes of artemis and amrex, however, the input files should still work with the most recent development branch of artemis.</p> <p>In the attached tar file, the input files, data, and scripts used to analyse simulation results shown in Figures 1, 2, 3, 4, and 6 of the paper are provided. To run the simulations on perlmutter GPUs, the code is compiled with USE_GPU=TRUE and USE_LLG=FALSE</p> <p> </p> <p> </p> <p> </p>
Recorded taps on fin whale tympanoperiotic complex to study resonance related to low-frequency hearing
<p>We studied vibrations of the tympanoperiotic complex (TPC) bones of a fin whale skull. Vibrations were excited by tapping the bones at designated locations and measuring the sounds emitted by the left and right TPC bones using eight microphones arranged around the tympanic bulla. This dataset includes the wav files recorded from all 8 microphones as well as some descriptive photos and data. Power spectra from the microphone recordings revealed that the first twelve modes of vibration had resonance frequencies between 100Hz and 6kHz. Many vibrational modes focused energy at the sigmoidal process, and therefore the ossicular chain. The resonance frequencies of the left and right TPC were offset, suggesting a mechanism for the animals to have improved hearing at a range of frequencies as well as a mechanism for directionality in their perception of sounds. </p>
Magnetic resonance images
<p>This repository contains two datasets of magnetic resonance images. The datasets were generated and collected from the following sources:</p> <p>1. BrainWeb: Simulated Brain Database: http://www.bic.mni.mcgill.ca/brainweb/</p> <p>2. IXI dataset (Information eXtraction from Images): https://brain-development.org/ixi-dataset/</p>
Data from: Active-feedback quantum control of an integrated, low-frequency mechanical resonator
<p>Source data for Figures.</p>
Data from "Understanding and controlling spatial resolution, sensitivity, and surface selectivity in resonant-mode photothermal-induced resonance spectroscopy"
<p>Dataset of PTIR spectra used for the article "Understanding and controlling spatial resolution, sensitivity, and surface selectivity in resonant-mode photothermal-induced resonance spectroscopy", L. Quaroni, Ana. Chem. 2020, 92, 5, 3544-3554</p>
Comparison of Dobutamine and Regadenoson Stress Cardiac Magnetic Resonance (MR)
ClinicalTrials.gov study NCT00763035. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Safety of Magnetic Resonance Imaging With Patients Who Have Mixed Lead Cardiac Implantable Electronic Devices
ClinicalTrials.gov study NCT07155135. IPD Sharing: NO. Countries: 1. Publications: 12.
Efficacy and Safety of Gadobutrol 1.0 Molar (Gadovist) for Breast Magnetic Resonance Imaging (MRI)
ClinicalTrials.gov study NCT01104584. IPD Sharing: Not stated. Countries: 9. Publications: 2.
Comparison of Prohance® With Gadovist®/Gadavist™ in Magnetic Resonance Imaging (MRI) of the Brain
ClinicalTrials.gov study NCT01613417. IPD Sharing: Not stated. Countries: 1. Publications: 1.
ZD4054 With Positron Emission Tomography/Magnetic Resonance Imaging (PET/MRI) for Prostate Cancer
ClinicalTrials.gov study NCT01119118. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Near InfraRed Fluorescence Using Indocyanine Green and Magnetic Resonance Lymphography of Lymphatic Transport
ClinicalTrials.gov study NCT04046146. IPD Sharing: YES. Countries: 1. Publications: 1.
Phosphorous Magnetic Resonance Spectroscopy of Heart
ClinicalTrials.gov study NCT01110395. IPD Sharing: NO. Countries: 1. Publications: 4.
Phenotyping Interstitial Cystitis/Bladder Pain Syndrome (IC/BPS) by Intravesical Contrast Enhanced - Magnetic Resonance Imaging (ICE-MRI) Bladder Permeability Assay
ClinicalTrials.gov study NCT05811377. IPD Sharing: NO. Countries: 1. Publications: 2.
Magnetic Resonance Imaging Study of Geriatric Depression
ClinicalTrials.gov study NCT00245557. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Positron Emission Tomography and Magnetic Resonance Imaging for Prostate Cancer
ClinicalTrials.gov study NCT00924313. IPD Sharing: NO. Countries: 1. Publications: 3.
Functional Magnetic Resonance Imaging of ATP Cough in Chronic Cough Patients
ClinicalTrials.gov study NCT03722849. IPD Sharing: NO. Countries: 1. Publications: 6.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.