Identification of linear epitopes on the flagellar proteins of Clostridioides difficile
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-89488-7
Abstract: Clostridioides difficile (C. difficile) is an opportunistic anaerobic bacterium that causes severe diseases of the digestive tract of humans and animals. One of the possible methods of preventing C. difficile infection is to develop a… read more here.
Keywords: identification linear; flagellar proteins; clostridioides difficile; proteins clostridioides ... See more keywords
Identification of linear scaling relationships in polysulfide conversion on α-In2Se3 supported single-atom catalysts
Sign Up to like & getrecommendations! Published in 2023 at "Physical Chemistry Chemical Physics"
DOI: 10.1039/d3cp00371j
Abstract: Developing highly active single-atom catalysts (SACs) for suppressing the shuttle effect and enhancing kinetics of polysulfide conversion is regarded as an important approach to improve the performance of Li-S batteries.... read more here.
Keywords: single atom; polysulfide conversion; atom catalysts; identification linear ... See more keywords
Identification of the linear factor model
Sign Up to like & getrecommendations! Published in 2019 at "Econometric Reviews"
DOI: 10.1080/07474938.2018.1550042
Abstract: Abstract This paper provides several new results on identification of the linear factor model. The model allows for correlated latent factors and dependence among the idiosyncratic errors. I also illustrate identification under a dedicated measurement… read more here.
Keywords: identification linear; factor model; model; identification ... See more keywords
Identification of Linear Models From Quantized Data: A Midpoint-Projection Approach
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2019.2933134
Abstract: In this article, we consider the identification of linear models from quantized output data. We develop a variational approximation of the likelihood function, which allows us to find variationally optimal approximations of the maximum-likelihood and… read more here.
Keywords: models quantized; quantized data; linear models; identification linear ... See more keywords