Results 131 to 140 of about 635,011 (264)

Classification and Parameter Selection for Damage Characterization in CFRP Composite Materials Using Acoustic Emission and Multivariate Statistics. [PDF]

Materials (Basel)
Amoateng-Mensah D, Amevorku RD, Dhar P, Minhaj TB, Sundaresan MJ.   +4 more
europepmc   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source

A progressive fine-tuning framework with dynamic parameter selection for low-resource peptide-GPCR interaction prediction. [PDF]

Brief Bioinform
Liu M, Xu J, Liu J.
europepmc   +1 more source

Multi-dimensional variables and feature parameter selection for aboveground biomass estimation of potato based on UAV multispectral imagery. [PDF]

Front Plant Sci, 2022
Luo S, Jiang X, He Y, Li J, Jiao W, Zhang S, Xu F, Han Z, Sun J, Yang J, Wang X, Ma X, Lin Z.   +12 more
europepmc   +1 more source

Molecular dynamics simulations of positively selected codons in FcγRI reveal novel biochemical binding properties

FEBS Open Bio, EarlyView.
Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young, Omar Arias‐Gaguancela, Fiona Gibson, Morgan Grainger, Jodie Score, Amit Nathubhai, Mauricio Cafiero, Lee Richard Machado   +7 more
wiley   +1 more source

Development of a Deep Learning-Based Decision Framework for Optimal Process Parameter Selection in Metal Additive Manufacturing. [PDF]

Sensors (Basel)
So MS, Kim DB, Kibet D, Shin JH.
europepmc   +1 more source

Automating parameter selection to avoid implausible biological pathway models. [PDF]

NPJ Syst Biol Appl, 2021
Magnano CS, Gitter A.
europepmc   +1 more source

Optimizing photoactivation of PA‐mCherry for optical pooled CRISPR screens

FEBS Open Bio, EarlyView.
Photoactivatable PA‐mCherry finds widespread use to optically tag individual cells. However, confocal 405 nm UV laser‐scanning (normal scan) is much less efficient than widefield UV illumination, limiting the use of PA‐mCherry on confocal instruments. We remedy this limitation by reporting that rapid and repeated confocal scanning with a low‐intensity,
Sravasti Mukherjee, Giulia Zanetti, Bram van den Broek, Kees Jalink   +3 more
wiley   +1 more source

Deformable image registration accuracy: impact of user-defined parameter selection on contour propagation for deep inspiration breath-hold and free breathing breast radiotherapy. [PDF]

BMC Med Imaging
Knippen S, Pargmann L, Weimann S, Hildebrandt G, Borm KJ, Duma MN.   +5 more
europepmc   +1 more source

Automated Parameter Selection for Accelerated MRI Reconstruction via Low-Rank Modeling of Local k-Space Neighborhoods. [PDF]

Z Med Phys, 2023
Ilicak E, Saritas EU, Çukur T.
europepmc   +1 more source