Results 211 to 220 of about 3,292,250 (298)

Optimizing IMPULSED Acquisition Protocols for Clinical 3T Scanners Through Bayesian Experimental Design

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To optimize diffusion MRI acquisition protocols for Imaging Microstructural Parameters Using Limited Spectrally Edited Diffusion (IMPULSED) model at clinical 3T scanner using Bayesian experimental design, enabling accurate cellular‐scale parameter estimation under realistic scan time and scanner hardware constraints.
Yan Dai, Xun Jia, Todd Aguilera, Kai Jiang, Arely Perez Rodriguez, Isabelle Vanhaezebrouck, Jie Deng   +6 more
wiley   +1 more source

OpenMRF: A Modular, Vendor‐Neutral Open‐Source Framework for Magnetic Resonance Fingerprinting Using Pulseq

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Widespread adoption and methodological advancement of magnetic resonance fingerprinting (MRF) are limited by the lack of unified, reproducible implementation frameworks and fragmented open‐source tools. To address these barriers, we introduce OpenMRF—a comprehensive Pulseq‐based solution—designed to enable standardized and transferable
Tom Griesler, Jannik Stebani, Sydney Kaplan, Ivaylo Angelov, Petra Albert, Tobias Wech, Martin Blaimer, Xiang Wang, Qingping Chen, Maxim Zaitsev, Zhibo Zhu, Qi Liu, Peter Martin, Jon‐Fredrik Nielsen, Jesse I. Hamilton, Peter Nordbeck, Nicole Seiberlich, Maximilian Gram   +17 more
wiley   +1 more source

Optimized Gradient Waveforms for Tensor‐Valued Diffusion MRI Under Time‐Dependent Diffusion Using Double‐Isotropic Matched Encoding (DIME)

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Spherical and linear b‐tensor encoding (STE and LTE) enables quantification of microscopic diffusion anisotropy and diffusional variance. However, such waveforms are often variably sensitive to time‐dependent diffusion, causing rotational variance and spectral mismatch.
Felix Mortensen, Viktor Olsson, Athanasios Grigoriou, Samo Lasič, Malwina Molendowska, Ronnie Wirestam, Filip Szczepankiewicz   +6 more
wiley   +1 more source

Lightning electromagnetic emission location using arrival time differencing (LEELA): An introduction to the Met Office's next generation Very Low Frequency lightning location system

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This paper describes the Met Office's new lightning location system LEELA. A brief overview of the upgraded hardware and geolocation algorithms is given. LEELA has improved lightning detection capabilities, especially at night. When comparing LEELA to the previous ATDnet system against ground truths LEELA has 100% storm detection efficiency within 5 km
Graeme Marlton, Mike Protts, Stephen Prust, Edmund Keith Stone, Debbie O'Sullivan, Sue Twelves, Francesco Devoto, Claire Witham   +7 more
wiley   +1 more source

Sonified Signals From a Compact FT‐ICR Instrument: A Feasibility Study. I—Data Mapping to an Equal‐Tempered Chromatic Scale

Rapid Communications in Mass Spectrometry, EarlyView.
ABSTRACT Rationale Ions trapped within a Penning cell (ICR) travel periodic orbits whose frequencies are dependent on their mass‐to‐charge ratio and the value of the magnetic field passing through the trap. Fourier transformation (FT‐ICR) decomposes the signal induced in the detection circuit by the rotation of the ions in the cell after the ...
Patrick Arpino, Michel Heninger
wiley   +1 more source

High-accuracy photoacoustic gas sensor enabled by deep learning-based concentration inversion from full waveforms. [PDF]

Photoacoustics
Chen P, Feng M, Liang M, Wang Q, Qiao Y, Jiao M, Li L, Shan C.   +7 more
europepmc   +1 more source

Integrating multimodal data and machine learning for entrepreneurship research

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley   +1 more source

Opportunities for 2D‐Material‐Based Multifunctional Devices and Systems in Bioinspired Neural Networks

Small, EarlyView.
Bio‐inspired computing offers a route to highly energy‐efficient artificial intelligence. The unique physical properties of two‐dimensional (2D) materials can further enhance such computing approaches. This perspective highlights recent developments in 2D materials‐based neuromorphic devices and discusses future opportunities for integrating such novel
Jin Feng Leong, Maheswari Sivan, Jieming Pan, Zihang Fang, Jianan Li, Zefeng Xu, Shi Zhao, Quanzhen Wan, Evgeny Zamburg, Aaron Voon‐Yew Thean   +9 more
wiley   +1 more source

Quantifying subsurface fracture damage in glaciers using fiber-optic seismology. [PDF]

Sci Adv
Hudson TS, Walter F, Noe S, Zunino A, Kendall JM, Edme P, Fichtner A.   +6 more
europepmc   +1 more source

Reactivity of Oxidized Porous Silicon with Calcium Ion in Aqueous Media: Stability, pH Behavior, and Host‐Guest Strategies

Small, EarlyView.
Oxidized porous silicon, composed of an elemental silicon porous skeleton coated with a silica shell, reacts with aqueous Ca2+ to generate a mixed silica–calcium silicate matrix that is remarkably efficient at trapping small molecules. With an emphasis on the engineering of controlled‐release drug delivery systems, this study identifies the factors ...
Ruhan Fan, Qinglin Yang, Michael J. Sailor   +2 more
wiley   +1 more source