Results 81 to 90 of about 2,518,110 (330)
Improved Multiple-Model Adaptive Estimation Method for Integrated Navigation with Time-Varying Noise
Sensors, 2022 The accurate noise parameter is essential for the Kalman filter to obtain optimal estimates. However, problems such as variations in the noise environment and measurement anomalies can cause degradation of estimation accuracy or even divergence.
Jinhao Song +6 more
doaj +1 more source
FEBS Letters, EarlyView.We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee +3 more
wiley +1 more source
Understanding the Tripartite Approach to Bayesian Divergence Time Estimation
, 2020 Placing evolutionary events in the context of geological time is a fundamental goal in paleobiology and macroevolution. In this article we describe the tripartite model used for Bayesian estimation of time calibrated phylogenetic trees.
R. Warnock, A. Wright
semanticscholar +1 more source
FEBS Letters, EarlyView.In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai +9 more
wiley +1 more source
BMC Evolutionary Biology, 2019 Background The flood of genomic data to help build and date the tree of life requires automation at several critical junctures, most importantly during sequence assembly and alignment. It is widely appreciated that automated alignment protocols can yield
Yan Du +3 more
doaj +1 more source
Practical and Consistent Estimation of f-Divergences
CoRR, 2019 The estimation of an f-divergence between two probability distributions based on samples is a fundamental problem in statistics and machine learning. Most works study this problem under very weak assumptions, in which case it is provably hard. We consider the case of stronger structural assumptions that are commonly satisfied in modern machine learning,
Rubenstein, P. +4 more
openaire +4 more sources
So many genes, so little time: A practical approach to divergence-time estimation in the genomic era
PLoS ONE, 2018 Phylogenomic datasets have been successfully used to address questions involving evolutionary relationships, patterns of genome structure, signatures of selection, and gene and genome duplications.
Stephen A. Smith +2 more
semanticscholar +1 more source
Calpain small subunit homodimerization is robust and calcium‐independent
FEBS Letters, EarlyView.Calpains dimerize via penta‐EF‐hand (PEF) domains. Using single‐molecule force spectroscopy, we measured the strength and kinetics of PEF–PEF homodimer binding. The interaction is robust, shows a transient conformational step before dissociation, and remains largely insensitive to Ca2+.
Nesha May O. Andoy +4 more
wiley +1 more source
Structural insights into an engineered feruloyl esterase with improved MHET degrading properties
FEBS Letters, EarlyView.A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa +5 more
wiley +1 more source
Enhancing timbre model using MFCC and its time derivatives for music similarity estimation
, 2012 One of the popular methods for content-based music similarity estimation is to model timbre with MFCC as a single multivariate Gaussian with full covariance matrix, then use symmetric Kullback-Leibler divergence.
Martinez, Kirk, de leon, Franz
core +1 more source