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19 results for “Resonance structures”
Experimental data, Periodic responses of a structure with 3:1 internal resonance
<p>Dataset for</p> <p>Alexander D Shaw; Thomas L Hill; Simon A Neild; Michael I Friswell</p> <p>Periodic responses of a structure with 3:1 internal resonance</p> <p>MSSP, in press (as of 18/3/2016)</p> <p>10.1016/j.ymssp.2016.03.008</p> <p> </p>
Simulation data and code used for the publication in Magn. Reson. "Time-domain proton-detected local-field NMR for molecular structure determination in complex lipid membranes"
<p>Simulation data used in the publication Magn. Reson. "Time-domain proton-detected local-field NMR for molecular structure determination in complex lipid membranes". The simulation data set, and the code developed to generate such data, are included. Details in the published paper </p>
Data for 'Ultrafast strain engineering and coherent structural dynamics from resonantly driven optical phonons in LaAlO3'
<p>This folder contains all the raw data required to generate the figures in the work 'Ultrafast strain engineering and coherent structural dynamics from resonantly driven optical phonons in LaAlO3'. </p> <p> </p> <p><strong>Contents</strong></p> <p><em>Figure 2:</em></p> <p>(a) Time resolved balanced reflection data for the short and long time periods: LongTimeData.txt and ShortTimeData.txt. The corresponding Fourier spectra shown in the inset: InsetFourier_LongTimeData.txt and InsetFourier_ShortTimeData.txt</p> <p>(b) Time resolved polarization rotation data for the short and long time periods: LongTimeData.txt and ShortTimeData.txt. The corresponding Fourier spectra shown in the inset: InsetFourier_LongTimeData.txt and InsetFourier_ShortTimeData.txt</p> <p><em>Figure 3:</em></p> <p>(a) Time-resolved polarization rotation data after excitation at two different pump photon energies: trace_85meV_excitation.txt and trace_124meV_excitation.txt. Amplitude as function of central pump photon energy: Inset_Wavelength_dependence.txt and the absorption of LaAlO3: Inset_absorption.txt</p> <p>(b) The raw data for different polarizations: traces_angle_dependence.txt</p> <p>(c) The experimentally obtained (AmplitudeExperiment.txt) and DFT calculated values (AmplitudeDFT.txt).</p> <p><em>Figure 4</em></p> <p>(a) Fourier spectra (and double Gaussian fit) corresponding to time-resolved measurments after excitation at different central photon energies: FourierSpectraData.txt (and FourierSpectraFits). Inset: Extracted peak amplitude (Inset_StrainvsWavelength.txt) and Gaussian fit of the TA strain (Inset_GaussianFit.txt). </p> <p>(b)The TA/LA ratio as function of pump photon energy (SoundWaveRatio.txt) and the Lorentzian fit (RatioFit.txt). And the absorption of LaAlO3 (Absorption_coefficient.txt).</p> <p> </p> <p> </p> <p> </p> <p> </p>
Permittivity of AuAg alloys along with calculations and measurements of the alloyed Fano-resonant structures
<p>Here I present the data corresponding to the manuscript "Low temperature annealing method for fabricating alloy nanostructures and metasurfaces: Unlocking a novel degree of freedom" (arXiv:2105.02461). In this work, I have provided a technique of alloying AuAg at low temperature. Here I present the measured ellipsometric data of the AuAg alloys alloyed at low temperatures and measurements of the single structure AuAg alloyed 4-rod Fano-resonance nanostructures. I have also provided the calculations of the Fano-resonant structures using the permittivity of the Rioux model as well as well as the permittivity obtained from the Rioux model. Each .zip file is associated with a Readme file explaining everything in greater details.</p>
Effects of Tofacitinib (CP-690,550) on Magnetic Resonance Imaging (MRI)- Assessed Joint Structure In Early Rheumatoid Arthritis (RA)
ClinicalTrials.gov study NCT01164579. IPD Sharing: Not stated. Countries: 9. Publications: 14.
Osteoarthritis Structural Changes Assessed by Magnetic Resonance Imaging and Neuropathic Pain in Knee Osteoarthritis
ClinicalTrials.gov study NCT01733277. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Fig. 4 in Nuclear Magnetic Resonance Microscopy of The Internal Structure of the Carrion Rolling Scarab Canthon cyanellus cyanellus (Scarabaeidae: Scarabaeinae)
Fig. 4. Two-dimensional surface reconstruction of gradient echo images of Canthon cyanellus cyanellus adult males. a) Young male; b) mature unmated male; c) mature mated: (1) gut; (2) pygidial glands; (3) phallobase; (4) parameres; (5) genital chamber.
Fig. 2 in Nuclear Magnetic Resonance Microscopy of The Internal Structure of the Carrion Rolling Scarab Canthon cyanellus cyanellus (Scarabaeidae: Scarabaeinae)
Fig. 2. Two-dimensional slices of a mature female imaged with NMR microscopy. The sequence (a–f) goes from ventral region to dorsum; median longitudinal slices (d) of the specimens analyzed are presented in this paper: (1) gut; (2) pygidial glands; (3) egg.
Fig. 1. A in Nuclear Magnetic Resonance Microscopy of The Internal Structure of the Carrion Rolling Scarab Canthon cyanellus cyanellus (Scarabaeidae: Scarabaeinae)
Fig. 1. A) Canthon cyanellus cyanellus, a carrion rolling beetle; B) schematic diagram of beetle orientation in relation to the static magnetic field.
Fig. 3 in Nuclear Magnetic Resonance Microscopy of The Internal Structure of the Carrion Rolling Scarab Canthon cyanellus cyanellus (Scarabaeidae: Scarabaeinae)
Fig. 3. Two-dimensional surface reconstruction of gradient echo images of Canthon cyanellus cyanellus adult females. a) Immature female; b) mature female mated 24 h before the NMR experiment; c) mature female mated some days before; d) female with an egg ready to be deposed in the brood ball; e) old female; f) female that had died recently: (1) gut; (2) pygidial glands; (3) ovum; (4) spermatophore; (5) egg.
Codes and data regarding "Temporal dissipative structures in optical Kerr resonators with transient loss fluctuation"
<p>Here we upload codes and figure data relate to the article "Temporal dissipative structures in optical Kerr resonators with transient loss fluctuation" that was published on Optics Express (<a href="https://doi.org/10.1364/OE.439212">https://doi.org/10.1364/OE.439212</a>)</p> <p>Please note that the codes have been tested using Matlab in the version of 2019a.</p> <p>The ".opj" and ".opju" files in the folder "Figure_data" can be opened via <a href="https://www.originlab.com/viewer/">the Origin viewer</a> (a free app published by Originlab)</p>
Raw NMR data for Structural Studies of Alloyed and Nanoparticulate Transition Metal Dichalcogenides by Selenium-77 Solid-State Nuclear Magnetic Resonance Spectroscopy
<p>Raw NMR data for main text figures.</p>
Normative Cardiovascular Magnetic Resonance Values for Measurement of Cardiovascular Structure and Function at MCMR
ClinicalTrials.gov study NCT05066269. IPD Sharing: NO. Countries: 1. Publications: 0.
Nonlinear Landau resonant interaction between kinetic Alfven waves and thermal electrons: Excitation of time domain structures
<p>Data repository for ``Nonlinear Landau resonant interaction between kinetic Alfven waves and thermal electrons: Excitation of time domain structures''. This repository contains two main datasets: (1) linear kinetic dispersion relation of kinetic Alfven waves (using HOTRAY code); (2) particle-in-cell simulations of time domain structures driven by kinetic Alfven waves (using OSIRIS code).</p> <p> </p> <p>HOTRAY.zip: The linear kinetic dispersion relation of kinetic Alfven waves.</p> <p>osiris_simulation1.zip: The particle-in-cell simulation in the weak nonlinear Landau resonance regime.</p> <p>osiris_simulation2.zip: The particle-in-cell simulation in the strong nonlinear Landau resonance regime.</p>
Magnetic Resonance Imaging Development for High Resolution Atrial Structural and Functional Characterization
ClinicalTrials.gov study NCT06617624. IPD Sharing: YES. Countries: 0. Publications: 0.
Depression in Adolescents. A Cerebral Structural, Diffusion, and Functional Magnetic Resonance Imaging Study
ClinicalTrials.gov study NCT01857518. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of Blood Brain Barrier Integrity and Structural Abnormalities in MPS IIIB Patients Using Multimodal Magnetic Resonance Imaging
ClinicalTrials.gov study NCT02090179. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data set and 3d model from Emendi M, Sturla F, Ghosh RP, Bianchi M, Piatti F, Pluchinotta FR, Giese D, Lombardi M, Redaelli A, Bluestein D. Patient-Specific Bicuspid Aortic Valve Biomechanics: A Magnetic Resonance Imaging Integrated Fluid-Structure Interaction Approach. Ann Biomed Eng. 2020 Aug 17. doi: 10.1007/s10439-020-02571-4. Epub ahead of print. PMID: 32804291.
<p>Data set and 3d model from Emendi M, Sturla F, Ghosh RP, Bianchi M, Piatti F, Pluchinotta FR, Giese D, Lombardi M, Redaelli A, Bluestein D. Patient-Specific Bicuspid Aortic Valve Biomechanics: A Magnetic Resonance Imaging Integrated Fluid-Structure Interaction Approach. Ann Biomed Eng. 2020 Aug 17. doi: 10.1007/s10439-020-02571-4. Epub ahead of print. PMID: 32804291.</p> <p> </p> <p>This is the abstract:</p> <p>Congenital bicuspid aortic valve (BAV) consists of two fused cusps and represents a major risk factor for calcific valvular stenosis. Herein, a fully coupled fluid-structure interaction (FSI) BAV model was developed from patient-specific magnetic resonance imaging (MRI) and compared against in vivo 4-dimensional flow MRI (4D Flow). FSI simulation compared well with 4D Flow, confirming direction and magnitude of the flow jet impinging onto the aortic wall as well as location and extension of secondary flows and vortices developing at systole: the systolic flow jet originating from an elliptical 1.6 cm<sup>2</sup> orifice reached a peak velocity of 252.2 cm/s, 0.6% lower than 4D Flow, progressively impinging on the ascending aorta convexity. The FSI model predicted a peak flow rate of 22.4 L/min, 6.7% higher than 4D Flow, and provided BAV leaflets mechanical and flow-induced shear stresses, not directly attainable from MRI. At systole, the ventricular side of the non-fused leaflet revealed the highest wall shear stress (WSS) average magnitude, up to 14.6 Pa along the free margin, with WSS progressively decreasing towards the belly. During diastole, the aortic side of the fused leaflet exhibited the highest diastolic maximum principal stress, up to 322 kPa within the attachment region. Systematic comparison with ground-truth non-invasive MRI can improve the computational model ability to reproduce native BAV hemodynamics and biomechanical response more realistically, and shed light on their role in BAV patients' risk for developing complications; this approach may further contribute to the validation of advanced FSI simulations designed to assess BAV biomechanics.</p> <p> </p>
Dataset related to article "Automated Head Tissue Modelling Based on Structural Magnetic Resonance Images for Electroencephalographic Source Reconstruction"
<p><strong>SCORING SEGMENTATIONS</strong></p> <ul> <li>Qualitative segmentation scores by two raters (rater1; rater2).</li> <li>Scale: excellent (4); good (3); doubtful (2) and failed (1).</li> </ul> <p> </p> <p><strong>DATABASES</strong></p> <ul> <li>IXI database, Imperial College of London (<a href="https://brain-development.org/ixi-dataset/">https://brain-development.org/ixi-dataset/</a>)</li> <li>Autism Brain Imaging Data Exchange (ABIDE) database (<a href="http://fcon_1000.projects.nitrc.org">http://fcon_1000.projects.nitrc.org</a>)</li> <li>SchizConnect database (<a href="http://schizconnect.org">http://schizconnect.org</a>)</li> </ul> <p> </p> <p><strong>SEGMENTATION METHODS</strong></p> <ul> <li>MR-TIM (Taberna et al., 2021), green rows</li> <li>WTS (Liu et al., 2017), red rows</li> </ul> <p> </p> <p><strong>TABLES</strong></p> <p><strong>IXI_young </strong></p> <ul> <li>20 MRI from the IXI database, participants 20–35 years old;</li> <li>MR scanners: Philips Intera 3.0T (HH); Philips Gyroscan Intera 1.5T (G)</li> </ul> <p><strong>IXI_older</strong></p> <ul> <li>20 MRI from the IXI database, participants 60–75 years old;</li> <li>MR scanners: Philips Intera 3.0T (HH); Philips Gyroscan Intera 1.5T (G)</li> </ul> <p><strong>ABIDE</strong></p> <ul> <li>10 MRI from the ABIDE database, participants 18-25 years old;</li> <li>MR scanner: Philips Achieva 3.0T</li> </ul> <p><strong>SchizConnect</strong></p> <ul> <li>10 MRI from the SchizConnect database, participants 19-66 years old;</li> <li>MR scanner: Siemens Trio Tim 3.0T</li> </ul> <p> </p> <p><strong>REFERENCES</strong></p> <p>Liu, Q., Farahibozorg, S., Porcaro, C., Wenderoth, N., & Mantini, D. (2017). Detecting large-scale networks in the human brain using high-density electroencephalography. Hum Brain Mapp, 38(9), 4631-4643. doi:10.1002/hbm.23688</p> <p>Taberna, G. A., Samogin, J., & Mantini, D. (2021). Automated Head Tissue Modelling Based on Structural Magnetic Resonance Images for Electroencephalographic Source Reconstruction. Neuroinformatics. doi:10.1007/s12021-020-09504-5</p>
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