Results 51 to 60 of about 809,797 (292)

The (Glg)ABCs of cyanobacteria: modelling of glycogen synthesis and functional divergence of glycogen synthases in Synechocystis sp. PCC 6803

open access: yesFEBS 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

A novel robust interacting multiple model filter for manoeuvering target tracking

open access: yesElectronics Letters
A robust interacting multiple model approach is proposed to address the problem of accuracy and non‐Gaussian measurement noise in manoeuvering target tracking. The proposed approach introduces multiple fading factors into the prediction covariance matrix
Peng Gu, Zhongliang Jing, Liangbin Wu
doaj   +1 more source

Adaptive Observer Design with Fixed-Time Convergence, Online Disturbance Learning, and Low-Conservatism Linear Matrix Inequalities for Time-Varying Perturbed Systems

open access: yesMathematical and Computational Applications
This paper proposes a finite-time adaptive observer with online disturbance learning for time-varying disturbed systems. By integrating parameter-dependent Lyapunov functions and slack matrix techniques, the method eliminates conservative static ...
Essia Ben Alaia   +2 more
doaj   +1 more source

Adaptive Sensing for Estimation of Structured Sparse Signals [PDF]

open access: yes, 2013
In many practical settings one can sequentially and adaptively guide the collection of future data, based on information extracted from data collected previously.
Castro, Rui M., Tánczos, Ervin
core   +2 more sources

The Highly Adaptive Lasso Estimator [PDF]

open access: yes2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2016
Estimation of a regression functions is a common goal of statistical learning. We propose a novel nonparametric regression estimator that, in contrast to many existing methods, does not rely on local smoothness assumptions nor is it constructed using local smoothing techniques.
David, Benkeser, Mark, van der Laan
openaire   +2 more sources

Structural biology of ferritin nanocages

open access: yesFEBS Letters, EarlyView.
Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley   +1 more source

Temperature-Adaptive Multi-Sensor Fusion for High-Speed Guided Missiles Under Aerodynamic Heating

open access: yesIEEE Access
High-speed guided missiles flying at Mach 2.5 or above experience rapid infrared dome temperature rise due to aerodynamic heating, which degrades MWIR (Mid-Wave Infrared) seeker measurement accuracy and may cause tracking errors during terminal guidance.
Dae-Han Lee, Sung-Gil Ko
doaj   +1 more source

Robust Filtering for Adaptive Homodyne Estimation of Continuously Varying Optical Phase [PDF]

open access: yes, 2012
Recently, it has been demonstrated experimentally that adaptive estimation of a continuously varying optical phase provides superior accuracy in the phase estimate compared to static estimation.
Huntington, Elanor H.   +2 more
core  

Transferrin receptor 1‐mediated iron uptake supports thermogenic activation in human cervical‐derived adipocytes

open access: yesFEBS 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

A Novel Semi-Supervisory Neural Network Approach for Fault Estimation in Steer-By-Wire Electric Motors

open access: yesIEEE Access
This paper presents a novel fault estimation strategy for electric motors in Steer-By-Wire (SBW) systems, based on a Semi-Supervisory Artificial Neural Network (SSANN) observer.
Daeyi Jung
doaj   +1 more source

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