Results 71 to 80 of about 331,515 (268)
Whale optimization algorithm with nonlinear control parameter
MATEC Web of Conferences, 2017 Whale optimization algorithm (WOA) is a relatively novel intelligence optimization technique which has been shown to be competitive to other population-based algorithms.
Zhong Minghui, Long Wen
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Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies
FEBS Open Bio, EarlyView.We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli +8 more
wiley +1 more source
Jixie chuandong, 2014 Aiming at the problems in the process of robust optimization design of involute gear,such as determining the dynamic load coefficient and multi-parameter nonlinear coupling,a method of dynamic load coefficient modified calculation is proposed.Through ...
周晓玲 +4 more
doaj
FEBS Open Bio, EarlyView.This study investigated a novel WST‐8‐based assay for evaluating d‐Amino acid oxidase (DAO) inhibitors. We confirmed its effectiveness using known inhibitors and found that uremic toxins possess relatively weak inhibitory activity compared to existing drugs.
Kahoko Miyake +4 more
wiley +1 more source
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 +4 more
wiley +1 more source
The Optimal Saving with Mixed Parameters
Procedia Economics and Finance, 2014 This paper proposes two mixed models to study optimal saving in the presence of two types of risk: income risk and background risk. In the first model the income risk is a fuzzy number and the background risk is a random variable. In the second model the income risk is a random variable and the background risk is a fuzzy number.
Lucia Casademunt, Ana María +1 more
openaire +2 more sources
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 +7 more
wiley +1 more source
Shui kexue jinzhanComplex distributed hydrological models based on physical factors involve high computational costs，and it is difficult to apply conventional global optimization algorithms to these models because of the large number of model simulations required ...
Yehai TANG +6 more
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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 +3 more
wiley +1 more source
International Journal of Computational Intelligence SystemsThe manta ray foraging optimization (MRFO) algorithm suffers from a fixed parameter $$ S $$ S , limiting its adaptability in balancing search capability and convergence speed during different optimization stages.
Zhentao Tang +8 more
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