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9 results for “Body waves”
Wave basin tests of multi-body floating photovoltaics system and an external floating breakwater.(SUREWAVE project)
<p><span>The aim of the EU Horizon Europe project SUREWAVE (2022-2025) is to develop a floating PV solution for offshore environments. A concrete floating breakwater (FBW) configuration will be designed to provide shelter for the floating PV (FPV) against harsh environmental conditions. MARIN’s scope is to support the hydrodynamic design of the system through numerical simulations and wave basin tests. Basin tests are scheduled at two stages of the project: (1) at early design stage (for a global understanding of the preliminary design); (2) at final design stage (for verification and demonstration). The present dataset contains the reuslts of the early stage design stage wave basin testing.</span></p>
Spinning test-body orbiting around Schwarzschild black hole: circular dynamics and gravitational-wave fluxes
<p>We release gravitational wave fluxes at null-infinity from a spinning test-body in circular equatorial orbits around a Schwarzschild black hole. Four different prescriptions are used for the dynamics: the Mathisson-Papapetrou formalism under the Tulczyjew (TUL) spin-supplementary-condition (SSC), the Pirani (PIR) SSC and the Ohashi-Kyrian-Semerak (OKS) SSC, and the spinning particle limit of the effective-one-body Hamiltonian (HAM) of [Phys.~Rev.~D.90,~044018(2014)]. For more details see xxxx .</p> <p>The multipolar fluxes are given for l=2,3 m=1,2,3 at the Boyer-Lindquist radii</p> <p> r = 4 5 6 7 8 10 12 15 20 30 ,</p> <p>in cases they were not computed the data contains a "42". Note that the fluxes in these data files are assumed to contain both the +m and -m contributions, since they are identical for equatorial orbits and aligned spins. <br /> Additionally, the data files contain the key numbers describing the circular dynamics (see paper).</p> <p>Units <span class="math-tex"><em>c</em>=<em>G</em>=1.</span></p>
Performance of wave function and Green's function methods for non-equilibrium many-body dynamics
<p>In this repository we have compiled 1-RDMs on a time grid obtained from various methods, namely, time-dependent full configuration interaction (TD-FCI), time-dependent coupled cluster (TD-CC), time-dpendent Hartree-Fock (TD-HF), Kadanoff-Baym Equations, and generalized Kadanoff-Baym approximation (GKBA). We have evaluated the 1-RDMs from Hubbard model in presence of an external drive. We have included a PySCF script to generate the integrals with a specific choice for various parameters. One can reproduce the HF results from that script. The Python script to evaluate various observables that we have analyzed in our article, namely, time-dependent dipole moment, Von-Neumann entropy are also added. </p>
Text-fig. 7. a. Worn section through a horizontally bedded body-chamber and phragmocone, body-chamber showing oyster attached to inside of aperture as well as burrow mottling. Tape measure provides scale. b. Body-chamber and crushed phragmocone with body-chamber and phragmocone entirely filled with bioturbated matrix containing stringers of crinoid and molluscan debris. Flank of phragmocone encrusted by oysters. Tape measure for scale. c. Complex of Thallassinoides and Diplocraterion burrows associated with conch that has been eroded out by wave action. A few 'Ghostly' fragments of ammonite are also present. Original scope of the image approximately 400 mm. c. Verically embedded conch with largely intact septa and camera infilled with burrowed matrix containing crinoid debris. Tape measure for scale. in 'Cenoceras Islands' In The Blue Lias Formation (Lower Jurassic) Of West Somerset, Uk: Nautilid Dominance And Influence On Benthic Faunas
Text-fig. 7. a. Worn section through a horizontally bedded body-chamber and phragmocone, body-chamber showing oyster attached to inside of aperture as well as burrow mottling. Tape measure provides scale. b. Body-chamber and crushed phragmocone with body-chamber and phragmocone entirely filled with bioturbated matrix containing stringers of crinoid and molluscan debris. Flank of phragmocone encrusted by oysters. Tape measure for scale. c. Complex of Thallassinoides and Diplocraterion burrows associated with conch that has been eroded out by wave action. A few 'Ghostly' fragments of ammonite are also present. Original scope of the image approximately 400 mm. c. Verically embedded conch with largely intact septa and camera infilled with burrowed matrix containing crinoid debris. Tape measure for scale.
Text-fig. 8. a. Shell belonging to one flank of the conch a horizontally bedded individual with sveral large oysters attached to its underside indicating that the shell was either originally vertical or was flipped from one surface to the other by turbulance. Approximately 300 mm across. b. Crushed individual showing oysters encrusting both flanks of the conch. 250 mm in diameter. c. Wave-worn conch showing oysters attached to the umbilicus, the venter and possibly the inside of the body-chamber. Tape measure for scale. d. Flank of conch with crinoid debris and oysters spread around its periphery. Scope of image approximately 350 mm. in 'Cenoceras Islands' In The Blue Lias Formation (Lower Jurassic) Of West Somerset, Uk: Nautilid Dominance And Influence On Benthic Faunas
Text-fig. 8. a. Shell belonging to one flank of the conch a horizontally bedded individual with sveral large oysters attached to its underside indicating that the shell was either originally vertical or was flipped from one surface to the other by turbulance. Approximately 300 mm across. b. Crushed individual showing oysters encrusting both flanks of the conch. 250 mm in diameter. c. Wave-worn conch showing oysters attached to the umbilicus, the venter and possibly the inside of the body-chamber. Tape measure for scale. d. Flank of conch with crinoid debris and oysters spread around its periphery. Scope of image approximately 350 mm.
Local body-wave attenuation dataset and models for VoiLA experiment
<p>Supplementary dataset to "Slab to back-arc to arc: fluid and melt pathways through the mantle wedge beneath the Lesser Antilles" by Stephen P. Hicks et al.</p> <p>This archive contains:</p> <ul> <li>the working directory and output for the t* spectral inversions of P- and S-wave data ("output_PS_WL30_usestacorr_fc1.zip".</li> <li>The 3-D tomographic output ("vel_Q_antilles_scatter.csv") interpolated onto a 4x4x4km grid.</li> </ul>
Dataset and Software for An anisotropic shear velocity model of the Earth's mantle using normal modes, body waves, surface waves and long-period waveforms
<p><strong>What is the nature of flow in the mantle?</strong><br> <strong>How fast do waves travel anywhere on Earth?</strong><br> <strong>Where can radial anisotropy be robustly detected?</strong><br> <strong>Can we reconcile a broad spectrum of seismic data? What are the benefits?</strong></p> <p>We use normal-mode splitting functions in addition to surface-wave phase anomalies, body-wave travel times and long-period waveforms to construct a three-dimensional model of anisotropic shear-wave velocity in the Earth's mantle. This is the <strong>first tomographic study</strong> to exploit the sensitivity of mode-splitting data to constrain radial anisotropy in the Earth's mantle jointly with several other types of data. Our modeling approach inverts for mantle velocity and anisotropy as well as transition-zone discontinuity topographies, and incorporates new crustal corrections for the splitting functions that are consistent with the nonlinear corrections we employ for the waveforms. Our preferred anisotropic model, S362ANI+M, is an update to the earlier model S362ANI, which did not include normal-mode splitting functions in its derivation.</p> <p><strong>Feedback/Questions?</strong> Please contact Raj Moulik (<a href="https://rajmoulik.com">rajmoulik.com</a>) at <a href="mailto:moulik@caa.columbia.edu?subject=Query%20from%20Zenodo">moulik@caa.columbia.edu</a> </p> <p><strong>Reference:</strong></p> <p><em>Please cite the following work if you use this data or software.</em></p> <ul> <li>Moulik, P. & Ekström, G., 2014. An anisotropic shear velocity model of the Earth's mantle using normal modes, body waves, surface waves and long-period waveforms, <em>Geophys. J. Int.</em>, <strong>199</strong>(3), 1713-1738, doi: <a href="http://dx.doi.org/10.1093/gji/ggu356">10.1093/gji/ggu356</a>. <em><a href="https://rajmoulik.com/Publications/MoulikEkstrom_GJI2014.pdf">pdf</a></em></li> </ul> <p><em>You can also cite the dataset and software from this Zenodo page (Optional).</em></p> <ul> <li> <p>Moulik, P. & Ekström, G., 2014. Dataset and Software for An anisotropic shear velocity model of the Earth's mantle using normal modes, body waves, surface waves and long-period waveforms. In Geophys. J. Int. (v1.0, Vol. 199, pp. 1713–1738). Zenodo. doi: <a href="https://doi.org/10.5281/zenodo.8357379">10.5281/zenodo.8357379</a></p> </li> </ul> <p><strong>Data Products:</strong></p> <ul> <li><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/S362ANIplusM_Figures.tar.gz"><strong>S362ANIplusM_Figures.tar.gz</strong></a> - contains all figures from the paper in .png format</li> <li><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/S362ANI%2BM_MapViewsCrossSections.pdf"><strong>S362ANI+M_MapViewsCrossSections.pdf</strong></a> - Some cross sections and map views at various depths in the mantle</li> <li><strong><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/S362ANI%2BM">S362ANI+M</a> - </strong>Coefficients of the spline basis functions for each parameter. Refer c<sub>ij</sub> in equation 11. This is our preferred global model of shear-wave velocity. In this model, radial anisotropy is confined to the uppermost mantle (that is, since the anisotropy is parameterized with only the four uppermost splines, it becomes very small below a depth of 250 km, and vanishes at 410 km). This is an updated version of S362ANI (Kustowski et al., 2008) which did not include normal modes in its derivation. Please note the stronger isotropic shear velocity anomalies in the transition zone.</li> <li><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/STW105"><strong>STW105</strong></a> - reference model used in S362ANI+M. Described in Kustowski et al. (2008)</li> <li><strong><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/setup.cfg">setup.cfg</a> - </strong>Some configuration metadata relevant to this model for reproducibility.</li> <li><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/epix.tar.gz"><strong>epix.tar.gz</strong></a> - Perturbations in horizontally (vsh) and vertically polarized shear velocity (vsv), Voigt-average isotropic velocity (vs), ansotropy (as) and topography of the internal boundaries. This is calculated from the spline coefficients at every 1 by 1 degree cell-centered pixel and at every ~25 km depth region from Moho to the core-mantle boundary and stored in extended pixel format (.epix) ASCII files. </li> <li><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/S362ANI%2BM.BOX25km_PIX1X1.avni.nc4"><strong>S362ANI+M.BOX25km_PIX1X1.avni.nc4</strong></a> - The perturbations in a standard AVNI format that utilizes the NETCDF4 container format. This file can be read in Python using either xarray or AVNI libraries. For example, to plot vs perturbations at 24.4-50 km depth range <ul> <li><em>import xarray as xr</em></li> <li><em>ds = xr.open_dataset('S362ANI+M.BOX25km_PIX1X1.avni.nc4')</em></li> <li><em>ds.vs[0].plot()</em></li> </ul> </li> <li><strong>Fortran Code</strong> <ul> <li><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/readme"><strong>readme</strong></a> - contains a description of all files in the folder below</li> <li><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/PROGRAMS.tar.gz"><strong>PROGRAMS.tar.gz</strong></a> - tools for obtaining model values at specific locations and some GMT plotting tools</li> </ul> </li> <li><a href="https://zenodo.org/api/files/a15ed123-5262-4c4b-9806-1b50e7f8ee82/GRD.tar.gz"><strong>GRD.tar.gz</strong></a> - longitude-latitide-velocity files with vsh, vsv, and Voigt average in km/s evaluated on a grid of points at many depths in the mantle</li> </ul>
FULL-WAVE EM SIMULATION OF HUMAN BODY BLOCKAGE BY DENSE 2D ANTENNA ARRAYS
<div> <div> <div> <p>This dataset, created using FEKO software, serves to investigate the impact of human body blockage on electromagnetic (EM) fields as observed by receiver antennas arranged in dense 2D/3D arrays. The simulation scenario involves an Hertzian dipole emitting radiation at 2.4868 GHz and positioned at a height of 0.99 meters. Field measurements are taken over a 3D array with multiple 2D arrays at varying distances from the source. An anthropomorphic obstacle representing a human body is included, featuring dimensions and material properties based on muscle composition. Simulations are conducted with the body at different positions and orientations relative to source and receivers considering real and imaginary part of EM field samples. The scenario includes no additional obstacles.</p> <p>For a 2D array at x=4m, simulations consider three body positions: (1) x=2m, y=0m, (2) x=2m, y=0.25m, and (3) x=2m, y=0.50m. Further simulations mimic micro-movements like translations along x and y axes by ±λ/4 increments and rotations at each position by angles 0°, 45°, 90°, and 135°, aiming to replicate real-life motions. In total, we simulate 3 positions, and for each of them, we consider 9 micro-positions (0 or ±λ/4 increments along x and/or y around the main position - the one with both increments equal to zero -) with 4 rotations for each. Therefore, there are a total of 3x9x4 simulations.</p> <p>The entire scenario involves 3D layouts of receiver arrays, with 50 surfaces composed of 90x180 elements spaced by λ/10.</p> </div> </div> </div> <div> <div><strong>Instructions: </strong></div> <div> <div> <p>The dataset comprises both .EFE files and MATLAB data, each representing a simulation position and containing real and imaginary components of the electric field received at each receiving point. Each file consists of a matrix sized 810000 x 6, where 6 denotes the real and imaginary components in the x, y, and z directions, and 810000 is derived from 90x180x50, representing the grid of receiving points.</p> <p>Each file within the dataset is labeled to convey its parameters. For example, "x2_y0.25_dxpl4_dyml4" denotes the position (x=2 m, y=0.25 m). Moreover, "dxpl4" represents the increment along the x-axis by plus lambda/four. "dpml4" and "dp0" are alternative options that can replace "dxpl4" if the increment is negative or there is no increment along the x-axis.<br>Similarly, "dyml4" denotes the decrement along the y-axis by minus lambda/four. "dypl4" and "dp0" can substitute "dyml4" to signify a different positive increment along the y-axis or no increment at all.</p> </div> </div> </div>
Blood Pressure and Body Weight Have Different Effects on Pulse Wave Velocity and Cardiac Mass in Children.
<p><strong>Background: </strong>High blood pressure (BP) and excess weight can lead to early cardiovascular organ damage already in children. Carotid-femoral pulse wave velocity (cf-PWV) is the non-invasive gold standard method for assessing aortic stiffness, while carotid-radial PWV (cr-PWV) provides information on the distensibility of the upper limb arteries. The aim of this study was to evaluate the relationship of BP and BMI z-scores with arterial stiffness and left ventricular mass index (LVMI) in a pediatric population.</p> <p><strong>Methods: </strong>In 343 children (57.7% males; age ± SD 11.7 ± 2.9 years), systolic (SBP) and diastolic (DBP) BP, BMI, cf-PWV, cr-PWV and LVMI were measured. A multiple linear regression model was used to assess the impact of BMI and SBP (or DBP) z-scores on cf-PWV, cr-PWV and LVMI.</p> <p><strong>Results: </strong>About 21% of children were normal weight, 34% were overweight and 45% obese. Adjusted for possible confounders, SBP and DBP z-scores were significantly associated with cf-PWV (<em>p</em> < 0.001), while only DBP z-scores were related to cr-PWV (<em>p</em> < 0.01). BMI was neither associated with cf-PWV nor with cr-PWV values but was a strong predictor of LVMI (<0.001), whereas cardiac mass and BP z-scores were not related.</p> <p><strong>Conclusions: </strong>Our study suggests that, in children, elevated BP values and excess weight may have different effects on the heart and the vessels in causing early cardiovascular alterations.</p> <div class="pg-extension"> </div>
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