Uncertainty quantification and reduction

Results 191 to 200 of about 252,868 (269)

Prediction, Uncertainty Quantification, and ANN-Assisted Operation of Anaerobic Digestion Guided by Entropy Using Machine Learning. [PDF]

Entropy (Basel)
Zhuang Z +6 more
europepmc +1 more source

Mapping Nanoscale Protein‐Corona Kinetics of DoE‐Optimized Perfluorocarbon Encapsulated‐PLGA Nanoparticles by In Situ, Time‐Resolved Synchrotron SAXS

Advanced Healthcare Materials, EarlyView.
A two‐phase workflow (OFAT screening followed by central composite design) maps how processing variables tune PFCE‐PLGA nanoparticle size, dispersity, surface charge, loading, and 19F‐MRI signal. In situ, time‐resolved synchrotron SAXS tracks albumin‐corona growth on intact dispersions and reveals PFCE‐dependent adsorption pathways.
Joice Maria Joseph +11 more
wiley +1 more source

Model-based dimensionality reduction for single-cell RNA-seq using generalized bilinear models. [PDF]

Biostatistics
Nicol PB, Miller JW.
europepmc +1 more source

Wound Geometry Determines Whether Aligned‐Fiber Scaffolds Accelerate or Impede Diabetic Wound Healing: A Biased Random Walk Analysis

Advanced Healthcare Materials, EarlyView.
Wound closure is governed by geometry‐orientation coupling: aligned fibers speed migration along their axis but hinder perpendicular advance. In vivo diabetic wound experiments with composition‐matched fibrin, combined with an anisotropic diffusion (biased random‐walk) model, quantify this trade‐off and generate a healing landscape.
Yin‐Yuan Huang +13 more
wiley +1 more source

Artificial Intelligence in Metal Additive Manufacturing: Applications in Design, Process Modeling, Monitoring, and Quality Optimization. [PDF]

Materials (Basel)
Sustacha J +3 more
europepmc +1 more source

A Data Driven Review of In Vitro Electrical and Mechanical Stimulation for Post‐Acute Phase Wound Healing

Advanced Healthcare Materials, EarlyView.
This review examines how in vitro electrical and mechanical stimulation modulates wound healing in fibroblasts and keratinocytes. Analyzing over 560 experimental data points, we relate stimulation parameters to proliferation and migration outcomes, evaluate platform designs, and highlight the need for multi‐parameter optimization to advance targeted ...
Matthew K. Burgess +3 more
wiley +1 more source

Neural Active Manifolds: Nonlinear Dimensionality Reduction for Uncertainty Quantification. [PDF]

J Sci Comput
Zanoni A +4 more
europepmc +1 more source

Plasmonic Enhancement of Fluorescence and Protein Dynamics in Living Mammalian Cells

Advanced Materials, EarlyView.
This study demonstrates plasmonic enhancement of the function of fluorescent voltage sensing proteins (genetically encoded voltage indicators, (GEVIs), QuasAr6) in live mammalian cells. Coupling to plasmonic nanoparticles does not just increase fluorescence, but influences the protein photocycle, creating a hybrid sensor with its response speed to ...
Marco Locarno +16 more
wiley +1 more source

Robust Indoor Positioning with Hybrid WiFi RTT-RSS Signals. [PDF]

Sensors (Basel)
Feng X, Nguyen KA, Luo Z.
europepmc +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source

uncertainty quantification
predictive modeling
3rd-order adjoint sensitivity analysis methodology

curse of dimensionality