Surrogate modeling of Cellular-Potts agent-based models as a segmentation task using the U-Net neural network architecture. [PDF]
Comlekoglu T +6 more
europepmc +1 more source
Surfing on Fitness Landscapes: A Boost on Optimization by Fourier Surrogate Modeling. [PDF]
Manzoni L +6 more
europepmc +1 more source
TGF‐β1 stimulation downregulates lysosomal channel TRPML1 in pulmonary fibroblasts. The TRPML1 agonist ML‐SA5 suppressed fibroblast‐to‐myofibroblast activation and collagen production. Mechanistically, ML‐SA5 inhibited mTOR phosphorylation, restored autophagic flux, and its effects were enhanced by rapamycin (mTOR inhibitor) and reversed by MHY1485 ...
Jiatong Yao +10 more
wiley +1 more source
Optimal control of agent-based models via surrogate modeling. [PDF]
Fonseca LL +3 more
europepmc +1 more source
ASAMS: An Adaptive Sequential Sampling and Automatic Model Selection for Artificial Intelligence Surrogate Modeling. [PDF]
Duchanoy CA +2 more
europepmc +1 more source
Using fluorescence fluctuation spectroscopy to quantify molecular dynamics within cells
Microscopy techniques like fluorescence correlation spectroscopy (FCS) and number and brightness analysis (N&B) allow to quantify concentrations, diffusion rates, and oligomerization of fluorescently labeled molecules in the living cell. In this protocol the principles of how to set up these types of experiments are described including calibration ...
Mark A. Hink
wiley +1 more source
Surrogate modeling of passive microwave circuits using recurrent neural networks and domain confinement. [PDF]
Sahu KC +2 more
europepmc +1 more source
Characterization of the key membrane protein cytochrome Cyc2 from Ghiorsea bivora
This study reports the first detailed biochemical analysis of Cyc2TAG1_1, a cytochrome protein involved in microbial iron oxidation. We produced and purified this enzyme in E. coli, then measured its iron‐oxidizing efficiency, and characterized its electrical and structural properties.
Josiane Azizi +6 more
wiley +1 more source
Nominal elastic modulus assessment in 3D-printed components under varying printing parameters using Bayesian methods and random forest surrogate modeling. [PDF]
Zhang J, Lu L, Feng P, Zhu T.
europepmc +1 more source

