Results 121 to 130 of about 1,282,583 (256)

Pseudomagnetic fields for classical waves in two‐dimensional artificial lattices: Mechanisms and applications

open access: yesInfoScience, EarlyView.
Pseudomagnetic fields make light and sound emulate charged particles in magnetic fields, enabling magnetic‐free signal processing. This Review summarizes their origins, three implementations in two‐dimensional artificial lattices, and applications in energy localization and robust transport, guiding the design of topological integrated devices ...
Shuaihu Liu   +5 more
wiley   +1 more source

Emotional Ambivalence Contextualized: The Antecedents and Consequences of Daily Affective Profiles During Pregnancy

open access: yesJournal of Organizational Behavior, EarlyView.
ABSTRACT Research has increasingly highlighted the prevalence of emotionally ambivalent experiences for employees at work, with several self‐regulatory benefits emerging. Yet we do not have a full understanding of which work‐related contexts yield generative or maladaptive consequences of emotional ambivalence.
David F. Arena Jr.   +4 more
wiley   +1 more source

Dual‐Metasurface‐Integrated Fiber Array for Bidirectional Cylindrical‐Vector‐Beam Multiplexed Communication Using Off‐Axis Spatial Manipulation

open access: yesLaser &Photonics Reviews, EarlyView.
A dual‐layer metasurface is integrated on a fiber‐array facet to realize compact, plug‐and‐play free‐space optical links with cylindrical vector beam (CVB) space‐division multiplexing. An optimized off‐axis collimation layer steers multiple channels, while a Dammann vortex layer performs polarization–topology conversion for bidirectional CVB (de ...
Xipeng Lu   +6 more
wiley   +1 more source

Accelerated MR Elastography Using Learned Neural Network Representation

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a deep‐learning method for achieving fast high‐resolution MR elastography from highly undersampled data without the need for high‐quality training datasets. Methods We first reframed the deep neural network representation as a nonlinear extension of the linear subspace model, then used it to represent and reconstruct MRE ...
Xi Peng
wiley   +1 more source

Weakly Convex Ridge Regularization for 3D Non‐Cartesian MRI Reconstruction

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose While highly accelerated non‐Cartesian acquisition protocols significantly reduce scan time, they often entail long reconstruction delays for 3D data. Deep learning–based reconstruction methods can alleviate this, but typically rely on complex, highly parametrized architectures.
German Shâma Wache   +3 more
wiley   +1 more source

Deep‐Reorder: Refined Motion Correction for 3D Brain MRI via Iterative Data Regrouping

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Accurate and temporally high‐resolution estimation of subject motion is paramount for effective motion‐correction in MRI. This work proposes a novel approach for estimating subject motion within a 3D MRI scan with high temporal resolution.
Laurens Beljaards   +7 more
wiley   +1 more source

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