Results 201 to 210 of about 731,480 (301)
The 3K‐AP system forms infinite supramolecular fibrils that undergo controlled degradation into shorter fragments upon enzymatic hydrolysis. Multitechnique imaging reveals a stepwise bacteriolytic mechanism involving bacterial entrapment, disassembly into lethal constructs, and associated extracellular vesicle release, highlighting the dynamic ...
Sohini Chakraborty +21 more
wiley +1 more source
Analysis and prediction of hydrogen relative permeability in underground storage systems using machine learning. [PDF]
Amjadi A, Kord S.
europepmc +1 more source
This study investigates how CTCs survive varying shear stress during hematogenous metastasis. We uncover a self‐protection mechanism, by which non‐adherent CTCs adapt to high shearing milieu through accumulated cytoplasmic myosin‐mediated disruption of myosin‐actin binding, attenuating force transmission into chromatin to protect CTCs from shear ...
Cunyu Zhang +10 more
wiley +1 more source
Parametric Bayesian modelling of tuberculosis mortality determinants and facility level heterogeneity effect using Gamma and Gaussian shared frailty techniques. [PDF]
Tamuzi JL +12 more
europepmc +1 more source
This study outlines the developmental pipeline of a multiplexed nanozyme‐based lateral flow immunoassay for the purpose of ovarian germ cell tumor detection. It demonstrates the application of a design of experiments optimization approach for nanozyme probe conjugate development.
Aida Abdelwahed +10 more
wiley +1 more source
Transcriptomic and Neuroimaging Decoding of Brain‐Immune Crosstalk in Thyroid Eye Disease
This study employed an imaging transcriptomics framework integrating resting‐state fMRI with Allen Human Brain Atlas transcriptomic data, coupled with peripheral blood RNA sequencing, to decode brain‐immune crosstalk in thyroid eye disease. Frontal, parietal, subcortical, and brainstem regions were identified as key neuroimmune‐ vulnerable regions ...
Haiyang Zhang +15 more
wiley +1 more source
Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu +5 more
wiley +1 more source
High-temporal resolution metabolic connectivity resolved by component-based noise correction. [PDF]
Reed MB +16 more
europepmc +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Towards a more reliable assessment of aortic diameters using a Bayesian Z-score. [PDF]
Bindini L +7 more
europepmc +1 more source

