Results 131 to 140 of about 1,788,984 (247)
FEBS Open Bio, EarlyView.In this study, a novel esterase from the thermoacidophilic archaeon Thermoplasma acidophilum was biochemically and structurally characterized. Our results demonstrate that Ta0887 is a highly thermostable esterase that preferentially hydrolyzes p‐nitrophenyl hexanoate and possesses an α‐helical cap domain that likely contributes to its substrate ...
Alejandro Delgado‐Rey +4 more
wiley +1 more source
Low rank representations of matrices using nuclear norm heuristics [PDF]
, 2014 2014 Summer.The pursuit of low dimensional structure from high dimensional data leads in many instances to the finding the lowest rank matrix among a parameterized family of matrices. In its most general setting, this problem is NP-hard.
Kirby, Michael, advisor +4 more
core
Nuclear norm subspace identification (N2SID) for short data batches
, 2014 Subspace identification is revisited in the scope of nuclear norm minimization methods. It is shown that essential structural knowledge about the unknown data matrices in the data equation that relates Hankel matrices constructed from input and output ...
Verhaegen, Michel,, Hansson, Anders,
core +1 more source
FEBS Open Bio, EarlyView.Functional screening identified PcSyn14890, a cyanobacteria‐specific protein that enhances growth and stress resistance in E. coli and Synechocystis PCC6803. Although we expected it to function as a molecular chaperone, it was unable to protect against thermal aggregation of GAPDH.
Akiyo Yamada +7 more
wiley +1 more source
Proximal algorithms for nuclear norm system identification [PDF]
, 2019 In this thesis, we present four proximal algorithms for the solution of a nuclear norm optimization problem. Respect to other papers, we solve a more generic version of this problem.
Faccio, Chiara
core
Nuclear norm based two-dimensional sparse principal component analysis
, 2018 Two-Dimensional Principal Component Analysis (2D-PCA) is one of the most simple and effective feature extraction methods in the field of pattern recognition. However, the traditional 2D-PCA lacks robustness and the function of sparse feature extraction.
Can Gao +3 more
core +1 more source
FEBS Open Bio, EarlyView.This minireview explores fluorination as a key strategy to optimize therapeutic molecules and nanocarriers. By incorporating different fluorinated motifs—from single atoms to linear and branched chains—drug delivery, cellular uptake, and colloidal stability can be improved and fine‐tuned.
Martina Beccalli +2 more
wiley +1 more source
Economics of nuclear power [PDF]
, 2012 This paper is the fourth in a series of 8 that make up the evidence base for SDC report 'The role of nuclear power in a low carbon economy'.Publisher ...
Science and Technology Policy Research, University of Sussex +1 more
core +1 more source
On the Convex Geometry of Weighted Nuclear Norm Minimization
CoRR, 2016 Low-rank matrix approximation, which aims to construct a low-rank matrix from an observation, has received much attention recently. An efficient method to solve this problem is to convert the problem of rank minimization into a nuclear norm minimization problem.
openaire +2 more sources
FEBS Open Bio, EarlyView.The PAM pathway and its impact on cellular metabolism. Color‐coded key symbols represent Rapamycin (R, orange, targeting mTOR) and Dactolisib (D, green, targeting PI3K/mTOR), indicating their sites of action. Created with BioRenders.com. Glioblastoma resists therapy through interconnected survival programs.
Kai Zhao +23 more
wiley +1 more source