Results 161 to 170 of about 1,174,696 (280)

Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain

open access: yesAdvanced Science, EarlyView.
A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Gabriele Di Antonio   +3 more
wiley   +1 more source

Topological model selection: a case-study in tumour-induced angiogenesis. [PDF]

open access: yesBioinformatics
McDonald RA   +4 more
europepmc   +1 more source

Gemella morbillorum Promotes Colorectal Carcinogenesis: LPBDCP‐Mediated Invasion Activates Ras Signaling and Destabilizes p53

open access: yesAdvanced Science, EarlyView.
ABSTRACT Gut microbiota dysbiosis promotes colorectal cancer (CRC) tumorigenesis. A global fecal metagenomic analysis identified Gemella morbillorum as a key contributor to the CRC‐associated microbiota. Fluorescence in situ hybridization revealed that Gemella morbillorum is enriched in CRC tumor tissues compared to adjacent normal tissues.
Zhen Wang   +8 more
wiley   +1 more source

A Perspective on Interactive Theorem Provers in Physics

open access: yesAdvanced Science, EarlyView.
Into an interactive theorem provers (ITPs), one can write mathematical definitions, theorems and proofs, and the correctness of those results is automatically checked. This perspective goes over the best usage of ITPs within physics and motivates the open‐source community run project PhysLean, the aim of which is to be a library for digitalized physics
Joseph Tooby‐Smith
wiley   +1 more source

Solid Harmonic Wavelet Bispectrum for Image Analysis

open access: yesAdvanced Science, EarlyView.
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown   +3 more
wiley   +1 more source

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