Results 191 to 200 of about 374,385 (274)
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
A machine learning approach to wastewater treatment: Gaussian process regression and Monte Carlo analysis. [PDF]
Nadeem N +6 more
europepmc +1 more source
Author Correction: Predicting California bearing ratio of HARHA-treated expansive soils using Gaussian process regression. [PDF]
Ahmad M +9 more
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
Modeling Many-Body Interactions in Water with Gaussian Process Regression. [PDF]
Manchev YT, Popelier PLA.
europepmc +1 more source
Prediction of Bus Passenger Traffic using Gaussian Process Regression. [PDF]
G S V, V S H.
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
Toward Gaussian Process Regression Modeling of a Urea Force Field. [PDF]
Bukowy T, Brown ML, Popelier PLA.
europepmc +1 more source
Bridging semiempirical and ab initio QM/MM potentials by Gaussian process regression and its sparse variants for free energy simulation. [PDF]
Snyder R, Kim B, Pan X, Shao Y, Pu J.
europepmc +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

