Results 191 to 200 of about 121,870 (266)

Hybrid Metalens–Compressive Sensing Imaging System for Ultra‐Low‐Power Edge Detection

open access: yesNanophotonics, Volume 15, Issue 8, 24 April 2026.
We propose an ultra‐low‐power edge detection imaging system through the combination of a spiral metalens and a compressive sensor. By moving the edge detection to a passive optical element, not only is the required power reduced but also the encoded edge image provides rich high‐frequency information, which provides high‐fidelity image reconstruction ...
Sejin Yoon   +3 more
wiley   +1 more source

Multimodal MRI Reveals Cerebral and Vascular Amyloid‐Driven Myeloarchitectural Disorganization in a Mouse Model of Alzheimer's Disease

open access: yesNMR in Biomedicine, Volume 39, Issue 4, April 2026.
This study investigates the effect of cerebral and vascular (beta‐amyloid) Aβ on regional myeloarchitecture and lipid composition in a murine model of Alzheimer's disease (AD). The study highlights the feasibility of quantitative MRI and chemical exchange saturation transfer (CEST) imaging to identify multiple biophysical mechanisms involved in ...
Syed Salman Shahid   +7 more
wiley   +1 more source

Toward Genuine Efficiency and Cluster Robustness of Preconditioned CG‐Like Eigensolvers

open access: yesNumerical Linear Algebra with Applications, Volume 33, Issue 2, April 2026.
ABSTRACT The locally optimal block preconditioned conjugate gradient (LOBPCG) method is a popular solver for large and sparse Hermitian eigenvalue problems. However, recently proposed alternatives for its single‐vector version LOPCG indicate certain problematic cases with less accurate preconditioners and clustered target eigenvalues.
Ming Zhou, Klaus Neymeyr
wiley   +1 more source

Tessellation Groups, Harmonic Analysis on Non‐Compact Symmetric Spaces and the Heat Kernel in View of Cartan Convolutional Neural networks

open access: yesFortschritte der Physik, Volume 74, Issue 4, April 2026.
ABSTRACT In this paper, we continue the development of the Cartan neural networks programme, launched with three previous publications, by focusing on some mathematical foundational aspects that we deem necessary for our next steps forward. The mathematical and conceptual results are diverse and span various mathematical fields, but the inspiring ...
Pietro Fré   +4 more
wiley   +1 more source

Bayesian Hierarchical Models With Calibrated Mixtures of g‐priors for Assessing Treatment Effect Moderation in Meta‐Analysis

open access: yesStatistics in Medicine, Volume 45, Issue 8-9, April 2026.
ABSTRACT Assessing treatment effect moderation is critical in biomedical science and many other fields, as it guides personalized interventions to improve individual health outcomes. Individual participant‐level data meta‐analysis (IPD‐MA) offers a robust framework for such assessments by leveraging data from multiple studies.
Qiao Wang, Hwanhee Hong
wiley   +1 more source

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