Results 51 to 60 of about 9,001 (205)

Reducing Motion Artifact in High Resolution 7 T MRI Using the Magnetic Resonance Minimal Motion (“MR‐MinMo”) Head Stabilization Device

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To evaluate the effectiveness of the MR‐MinMo head stabilization device in mitigating motion artifacts during long‐duration, high‐resolution 7 T MRI scans, with and without retrospective motion correction Methods The MR‐MinMo was tested on seven pediatric and 12 adult healthy volunteers using 0.6 mm isotropic, 3D Multi‐Echo Gradient ...
Jyoti Mangal, Simon Richardson, Yannick Brackenier, Matthew Gardner, Pierluigi Di Cio, Chiara Casella, Shaihan Malik, Jo Hajnal, Martina F. Callaghan, Fred Dick, David W. Carmichael   +10 more
wiley   +1 more source

Short Echo‐Time Spiral MRSI Versus Single‐Voxel Spectroscopy in the Human Brain at 3 Tesla With Semi‐LASER Localization

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Magnetic resonance spectroscopy techniques are widely used to non‐invasively study brain metabolism. Despite advances in magnetic resonance spectroscopic imaging (MRSI), there is a notable absence of research on comparing fast non‐Cartesian MRSI with single‐voxel spectroscopy (SVS), limiting our understanding of its performance and ...
Young Woo Park, Isaac M. Adanyeguh, Pierre‐Gilles Henry, Dinesh K. Deelchand   +3 more
wiley   +1 more source

A Novel Updated Full-Discretization Method for Prediction of Milling Stability

Micromachines, 2022
This paper presents an updated full-discretization method for milling stability prediction based on cubic spline interpolation. First, the mathematical model of the time-delay milling system considering regenerative chatter is represented by a dynamic ...
Junjin Ma, Yunfei Li, Dinghua Zhang, Bo Zhao, Geng Wang, Xiaoyan Pang   +5 more
doaj   +1 more source

Modeling Biocemented Sands: Hypoplastic Model for MICP‐Based Ground Improvement

International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT Bio‐cementation offers a sustainable and low‐carbon alternative to conventional ground improvement methods, aligning with the growing demand for green geotechnical solutions. To enable reliable numerical simulation of bio‐cemented soil behavior in engineering applications, advanced constitutive models are required to account for the effects of
Merita Tafili, Hossam Abdellatif, Nazanin Irani, Torsten Wichtmann   +3 more
wiley   +1 more source

Impact of modified B-splines on particle-in-cell modeling for electron-ion nonlinear dynamics

Cogent Engineering
The present study explores the impact of implementing a third-order B-spline as a kernel function with random modifications in Particle-In-Cell (PIC) simulations for nonlinear electron-ion dynamics.
Gibran Jalil Garnica-Castro, Georgiy Polupan, Oliver Marcel Huerta-Chavez, Omar Lopez-Perez   +3 more
doaj   +1 more source

Interpolasi Cubic Spline untuk Memetakan Distribusi Panas pada Permukaan Panel Sel Surya

Jurnal Elkomika, 2020
ABSTRAK Penelitian ini bertujuan untuk mengetahui sebaran atau distribusi panas yang terjadi pada permukaan panel surya atau photo voltaic (PV) dengan dengan data sebaran sensor yang diolah dengan metode interpolasi cubic spline, sehingga dapat ...
BAYU ERFIANTO, ALDRY HERNANDA SETIAWAN
doaj   +1 more source

Recovering event histories by cubic spline interpolation

Mathematical Population Studies, 1989
If event data are recorded in discrete intervals of time, errors are introduced when the data are converted from the unit in which they were recorded, such as date, to another unit such as age or duration. The problem is illustrated by the inconsistent age at marriage schedules published by 2 recent US censuses.
Bergstrom, Ted, Lam, David
openaire   +3 more sources

Polar‐low track prediction using machine‐learning methods

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Machine‐learning models are developed to produce reliable and efficient forecasts of polar‐low (PL) trajectories 12 hours ahead. A temporal model (RLSTM) benefiting from the rolling‐forecast strategy, improves overall prediction accuracy and is suitable for quick experimentation, while a spatiotemporal model (PL‐UNet), incorporating both historical and
Ziying Yang, Rune Grand Graversen, Filippo Maria Bianchi, Jiping Liu, Ruibo Lei   +4 more
wiley   +1 more source

Power system harmonic detection based on cubic spline function and Rife-vincent self-convolution window interpolation FFT algorithm

Dianzi Jishu Yingyong, 2018
When using the Fast Fourier Transform(FFT) to perform harmonic analysis on power systems, due to asynchronous sampling and data truncation, fence effect and spectrum leakage will occur, and accurate harmonic parameters cannot be obtained.
Zhang Yingying
doaj   +1 more source

Bivariate postprocessing of wind vectors

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We introduce three novel bivariate postprocessing approaches and analyze their performance for joint postprocessing of bivariate wind‐vector components in Germany. Bivariate vine‐copula‐based models, a bivariate gradient‐boosted version of ensemble model output statistics (EMOS), and a bivariate distributional regression network (DRN) are compared with
Ferdinand Buchner, David Jobst, Annette Möller, Claudia Czado   +3 more
wiley   +1 more source