An evaluation method of Li-ion batteries state of charge based on IRVM and verified by simulation
Aiming at the problems of low multi-step prediction accuracy and poor online prediction adaptability for the algorithm of relevance vector machine,an improved incremental relevance vector machine model is proposed to predict the state-of-charge of Li-ion
Wang Chao +4 more
doaj +1 more source
Structural and biochemical analysis of a B12 superbinder
BtuG proteins are vitamin B12 scavengers in Bacteroides thetaiotaomicron, a dominant human gut bacterium. We present crystal structures of three BtuG homologs bound to cobalamin and its precursor cobinamide, revealing picomolar binding affinities, among the highest known for any natural protein.
Jose M. Martinez Felices +3 more
wiley +1 more source
The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation
Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge +6 more
wiley +1 more source
A context‐dependent modulatory role for eIF6 in acquired resistance to vemurafenib in melanoma
Acquired resistance to vemurafenib upregulates the translation factor eIF6 in melanoma cells. Silencing eIF6 in resistant cells reduces proliferation and partially restores drug sensitivity, whereas its overexpression increases sensitivity across melanoma lines regardless of BRAF status, via modulation of mTOR, S6K, and MAPK signaling.
George Kyriakopoulos +9 more
wiley +1 more source
Vacuolar H+‐ATPase (V‐ATPase) is a multisubunit rotary proton pump that acidifies intracellular compartments. Using elastic network models, we identified conserved hinge residues that govern its large‐scale functional motions. We show that intrinsically encoded ‘soft modes’ drive critical functional transitions, including rotary catalysis and ...
Diksha Parwana +3 more
wiley +1 more source
Performance Data Prognostics Based on Relevance Vector Machine and Particle Filter
Prognostics of equipment state is one of the most important and difficult issue in Prognostics and Health Management (PHM) technology. In this paper, Relevance Vector Machine (RVM) and Particle Filter (PF) are used to analyse equipment state and predict ...
Y. Hu, P. Luo
doaj +1 more source
Fast Bayesian Compressed Sensing Algorithm via Relevance Vector Machine for LASAR 3D Imaging
Because of the three-dimensional (3D) imaging scene’s sparsity, compressed sensing (CS) algorithms can be used for linear array synthetic aperture radar (LASAR) 3D sparse imaging.
Bokun Tian +6 more
doaj +1 more source
Training Procedure for a sub-model Relevance Vector Machine.
Training Procedure for a sub-model Relevance Vector Machine.
Panagiotis Artemiadis (6429512) +2 more
core +1 more source
Unlocking the potential of cell‐permeable nanobodies for intracellular applications
This review outlines current strategies for delivery of nanobodies into cells and highlights recent examples of functional applications. By addressing and manipulating intracellular targets, these molecules hold great potential for treating cancer, respiratory diseases and neurological disorders, making this a vibrant area of research in the biomedical
Mariona Gené‐Verdés +2 more
wiley +1 more source
Performance Evaluation of Some Selected Classification Algorithms in a Facial Recognition System
Facial Recognition (FR) has been an active area of research and has diverse applicable environment, it continues to be a challenging research topic. With the development of image processing and pattern recognition technology, there are many challenges ...
Michael Olumuyiwa Adio +4 more
doaj +1 more source

