Results 131 to 140 of about 10,846,082 (297)
Leucine‐rich glioma inactivated 1 (LGI1) is a ganglioside‐binding protein
FEBS Letters, EarlyView.Neuronal hyperexcitability associated with a decrease/absence of the extracellular protein LGI1 has been suggested to be primarily due to the downregulation of Kv1 channel expression. The molecular mechanisms underlying this decrease have not yet been elucidated.
Kévin Debreux +7 more
wiley +1 more source
Improved sufficient condition of ℓ 1–2 ‐minimisation for robust signal recovery
Electronics Letters, 2019 By means of the restricted isometry property of order k and the restricted orthogonality property of order (k,k), this Letter mainly establishes an improved sufficient condition for a recently emerged l 1 − 2 -minimisation to guarantee the robust signal ...
Wen-Dong Wang, Jian-Jun Wang
semanticscholar +1 more source
Robust matching pursuit for recovery of Gaussian sparse signal
, 2011 For compressive sensing (CS) recovery of Gaussian sparse signal, we explore the framework of Bayesian linear models to achieve a robust reconstruction performance in the presence of measurement noise.
Chatterjee, Saikat, +5 more
core +1 more source
Inhibition of dipeptidyl peptidase 7 impairs lysophagy in LLOMe‐treated HepG2 cells
FEBS Letters, EarlyView.DPP7 inhibition delays ubiquitin‐dependent lysophagy by attenuating ubiquitin accumulation and the recruitment of SQSTM1 and LC3 to damaged lysosomes, resulting in delayed clearance of damaged lysosomes and impaired restoration of lysosomal homeostasis. Created using FigureLabs (Certificate ID: FL‐PUB‐20260922‐Z99XNX).
Na Yeon Park +8 more
wiley +1 more source
Sparse Signal Recovery via Rescaled Matching Pursuit
AxiomsWe propose the Rescaled Matching Pursuit (RMP) algorithm to recover sparse signals in high-dimensional Euclidean spaces. The RMP algorithm has less computational complexity than other greedy-type algorithms, such as Orthogonal Matching Pursuit (OMP).
Wan Li, Peixin Ye
doaj +1 more source
Sparse Signal Recovery via Exponential Metric Approximation
Tsinghua Science and Technology, 2017 Sparse signal recovery problems are common in parameter estimation, image processing, pattern recognition, and so on. The problem of recovering a sparse signal representation from a signal dictionary might be classified as a linear constraint ℓ0 ...
Jian Pan, Jun Tang, Wei Zhu
doaj +1 more source
Community Colleges: The Next Frontier of Recovery Support at Institutions of Higher Education [PDF]
, 2018 In 2016, TYR could identify only six community colleges offering recovery support programs and services. Based on this finding, TYR identified a need for pilot programs to better understand programmatic models that may be effective for supporting ...
Jones, Erin K
core +1 more source
DNA ligase LigE increases bacterial transformation with damaged extracellular DNA
FEBS Letters, EarlyView.The DNA ligase LigE from the naturally competent Gram‐negative bacterium Neisseria gonorrhoaea increases transformation with cut extracellular DNA. This process is ATP‐dependent and relies on the catalytic activity of LigE; it also requires that LigE contains an intact periplasmic localisation sequence, indicating that ligE functions in the periplasm ...
Jolyn Pan +4 more
wiley +1 more source
Mathematics, 2019 Compressed sensing theory is widely used in the field of fault signal diagnosis and image processing. Sparse recovery is one of the core concepts of this theory.
Dingfei Jin +3 more
doaj +1 more source
Sparse Signal Recovery in MIMO Specular Meteor Radars With Waveform Diversity
IEEE Transactions on Geoscience and Remote Sensing, 2019 Since the 1950s, specular meteor radars (SMRs) have been used to study the mesosphere and lower thermosphere (MLT) dynamics. Atmospheric parameters derived from SMRs are highly dependent on the number of detected meteors and the accuracy of the meteors ...
J. M. Urco +4 more
semanticscholar +1 more source