Results 91 to 100 of about 9,624,872 (292)
FEBS Letters, EarlyView.Mycobacterial 3‐methylcrotonyl‐CoA carboxylase uses a mobile biotin‐carrying domain to shuttle a carboxyl group between two catalytic sites, enabling carboxylation of 3‐methylcrotonyl‐CoA during leucine breakdown. Cryo‐electron microscopy captures the carrier at both sites and reveals an inward loop movement that may prevent futile rebinding to the ...
Ajit Yadav +2 more
wiley +1 more source
A Continuous Scale Space of Diffeomorphisms
SIAM Journal on Imaging SciencesIn this paper, we define and study a nested family of reproducing kernel Hilbert spaces of vector fields that is indexed by a range of scales, from which we construct a reproducing kernel Hilbert space of scale-dependent vector fields. We provide a characterization of the reproducing kernel of that space, with numerical approximations ensuring quick ...
Yechen Liu, Laurent Younes
openaire +3 more sources
Deep Scale-spaces: Equivariance Over Scale
CoRR, 2019 We introduce deep scale-spaces (DSS), a generalization of convolutional neural networks, exploiting the scale symmetry structure of conventional image recognition tasks. Put plainly, the class of an image is invariant to the scale at which it is viewed.
Worrall, D., Welling, M.
openaire +5 more sources
Chiral separation of chloroalkanes with the chromatographic column onboard Martian rovers
FEBS Letters, EarlyView.Computer image of the Rosalind Franklin Rover of ESA's ExoMars mission. ExoMars is scheduled to land on planet Mars in Oxia Planum in 2029. This area represents an interesting spot to look for biosignatures. Investigations of ExoMars include measurement on molecular chirality. We show that chiral chloroalkanes, that have been identified on Mars, can be
Asma Merzougui +4 more
wiley +1 more source
Geophysical Research LettersBlind faults pose significant seismic hazards because they remain hidden beneath the surface and are often unrecognized until they generate large earthquakes. High‐resolution shallow velocity models are essential for imaging these blind structures.
Lei Qin +5 more
doaj +1 more source
Scale Space Calibrates Present and Subsequent Spatial Learning in Barnes Maze in Mice. [PDF]
eNeuro, 2023 Tachiki Y +9 more
europepmc +1 more source
Scaling of Program Fitness Spaces
Evolutionary Computation, 1999 We investigate the distribution of fitness of programs concentrating on those represented as parse trees and, particularly, how such distributions scale with respect to changes in the size of the programs. By using a combination of enumeration and Monte Carlo sampling on a large number of problems from three very different areas, we suggest that, in ...
openaire +4 more sources
Scale-covariant and scale-invariant Gaussian derivative networks [Elektronisk resurs]
, 2020 This article presents a hybrid approach between scale-space theory and deep learning, where a deep learning architecture is constructed by coupling parameterized scale-space operations in cascade.
Lindeberg, Tony,
core
Corner Detection Using the Affine Morphological Scale Space
, 2017 We introduce a method for corner estimation based on the affine morphological scale space (AMSS). Using some explicit known formula about corner evolution across AMSS, proven by Alvarez and Morales in 1997, we define a morphological cornerness measure ...
Alvarez, Luis, Luis Alvarez
core +1 more source
Prospecting the protein design landscape
FEBS Letters, EarlyView.This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona +4 more
wiley +1 more source