Results 41 to 50 of about 603,715 (266)

A Fluid Flow‐Based Deep Learning (FFDL) Architecture for Subsurface Flow Systems With Application to Geologic CO2 Storage

open access: yesWater Resources Research
Prediction of the spatial‐temporal dynamics of the fluid flow in complex subsurface systems, such as geologic CO2 storage, is typically performed using advanced numerical simulation methods that solve the underlying governing physical equations. However,
Zhen Qin   +3 more
doaj   +1 more source

An advanced method of interpolation of short-focus electron beams boundary trajectories using higher-order root-polynomial functions and its comparative study

open access: yesSistemnì Doslìdženâ ta Informacìjnì Tehnologìï
The comparison of three advanced novel methods for estimating the boundary trajectory of electron beams propagated in ionized gas, including lower-order interpolation, self-connected interpolation, and extrapolation, as well as higher-order interpolation,
Igor Melnyk   +2 more
doaj   +1 more source

Probabilistic Richardson extrapolation

open access: yesJournal of the Royal Statistical Society Series B: Statistical Methodology
Abstract For over a century, extrapolation methods have provided a powerful tool to improve the convergence order of a numerical method. However, these tools are not well-suited to modern computer codes, where multiple continua are discretized and convergence orders are not easily analysed.
Oates, Chris J.   +4 more
openaire   +4 more sources

Quantitative estimates and extrapolation for multilinear weight classes

open access: yes, 2019
In this paper we prove a quantitative multilinear limited range extrapolation theorem which allows us to extrapolate from weighted estimates that include the cases where some of the exponents are infinite.
Nieraeth, Bas
core   +2 more sources

Study of Lattice QCD Form Factors Using the Extended Gari-Krumpelmann Model [PDF]

open access: yes, 2005
We explore the suitability of a modern vector meson dominance (VMD) model as a method for chiral extrapolation of nucleon electromagnetic form factor simulations in lattice QCD.
Anthony W. Thomas   +3 more
core   +2 more sources

Pre‐analytical optimization of cell‐free DNA and extracellular vesicle‐derived DNA for mutation detection in liquid biopsies

open access: yesMolecular Oncology, EarlyView.
Pre‐analytical handling critically determines liquid biopsy performance. This study defines practical best‐practice conditions for cell‐free DNA (cfDNA) and extracellular vesicle–derived DNA (evDNA), showing how processing time, storage conditions, tube type, and plasma input volume affect DNA integrity and mutation detection.
Jonas Dohmen   +11 more
wiley   +1 more source

extrapolation

open access: yes
Citation: 'extrapolation' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.14679 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms.
Rojas-Chavarro, Luisa Fernanda||   +1 more
  +6 more sources

Targeting TNBC: core–shell polycationic polyurea dendrimers with inherent anticancer activity

open access: yesFEBS Open Bio, EarlyView.
Core–shell polycationic PURE dendrimers were tested in TNBC‐derived tumor models. Both formulations selectively targeted TNBC and effectively reduced tumor volume. PUREG4‐OEI48 suppressed tumor growth without detectable toxicity, whereas PUREG4‐OCEI24, despite showing efficacy, induced hepatic toxicity.
Adriana Cruz   +9 more
wiley   +1 more source

Using Temporal Deep Learning Models to Estimate Daily Snow Water Equivalent Over the Rocky Mountains

open access: yesWater Resources Research
In this study we construct and compare three different deep learning (DL) models for estimating daily snow water equivalent (SWE) from high‐resolution gridded meteorological fields over the Rocky Mountain region.
Shiheng Duan   +3 more
doaj   +1 more source

MEML: A Deep Data Augmentation Method by Mean Extrapolation in Middle Layers

open access: yesIEEE Access, 2021
Data augmentation, generating new data that are similar but not same with the original data by making a series of transformations to the original data, is one of the mainstream methods to alleviate the problem of insufficient data.
Dongchen Liu   +5 more
doaj   +1 more source

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