Identifying Early Signals From Emerging Public Health Events Using Natural Language Processing. [PDF]
Peterson KS +7 more
europepmc +1 more source
The butterfly unfolded wing in an open form structure of botulinum neurotoxin type A (BoNT/A) at physiological‐state was confirmed at 2.85 Å resolution by cryo‐electron microscopy (cryo‐EM). Structure‐guided protein engineering significantly enhanced the receptor‐binding affinity, therapeutic efficacy, and safety of the engineered toxin variants ...
Wenrui Wang +16 more
wiley +1 more source
Author Correction: Temporal structure of natural language processing in the human brain corresponds to layered hierarchy of large language models. [PDF]
Goldstein A +21 more
europepmc +1 more source
Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain
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
Analyzing Misinformation and Disinformation: Understanding Swiss COVID-19 Narratives Through Natural Language Processing Analysis. [PDF]
Germani F +4 more
europepmc +1 more source
A Perspective on Interactive Theorem Provers in Physics
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
Enhancing personalized suicide risk prediction for VA patients by integrating discrete natural language processing models. [PDF]
Dimambro M +5 more
europepmc +1 more source
Solid Harmonic Wavelet Bispectrum for Image Analysis
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
Natural Language Processing for Automated Extraction of Continuous Glucose Monitoring Data. [PDF]
Zheng Y +5 more
europepmc +1 more source

