Results 21 to 30 of about 26,927 (261)
An Exploration Algorithm for Stochastic Simulators Driven by Energy Gradients
Entropy, 2017 In recent work, we have illustrated the construction of an exploration geometry on free energy surfaces: the adaptive computer-assisted discovery of an approximate low-dimensional manifold on which the effective dynamics of the system evolves ...
Anastasia S. Georgiou +5 more
doaj +1 more source
Noncommutative Geometry and Stochastic Processes [PDF]
, 2017 The recent analysis on noncommutative geometry, showing quantization of the volume for the Riemannian manifold entering the geometry, can support a view of quantum mechanics as arising by a stochastic process on it. A class of stochastic processes can be devised, arising as fractional powers of an ordinary Wiener process, that reproduce in a proper way
openaire +2 more sources
Stochastic Geometry: Boolean model and random geometric graphs
ESAIM: Proceedings and Surveys, 2015 This paper collects the four contributions which were presented during the session devoted to Stochastic Geometry at the journées MAS 2014.
Calka Pierre +4 more
doaj +1 more source
Dimensional flow and fuzziness in quantum gravity: Emergence of stochastic spacetime
Nuclear Physics B, 2017 We show that the uncertainty in distance and time measurements found by the heuristic combination of quantum mechanics and general relativity is reproduced in a purely classical and flat multi-fractal spacetime whose geometry changes with the probed ...
Gianluca Calcagni, Michele Ronco
doaj +1 more source
AAA+ protein unfoldases—the Moirai of the proteome
FEBS Letters, EarlyView.AAA+ unfoldases are essential molecular motors that power protein degradation and disaggregation. This review integrates recent cryo‐electron microscopy (cryo‐EM) structures and single‐molecule biophysical data to reconcile competing models of substrate translocation.
Stavros Azinas, Marta Carroni
wiley +1 more source
Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
EURASIP Journal on Wireless Communications and Networking, 2019 We investigate the performance of a scheduling algorithm where the mobile terminals (MTs) may be turned off if they cause a level of interference greater than a given threshold.
Francisco Javier Martín +4 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky +5 more
wiley +1 more source
Neuroscience Insights, 2019 Recombinant adeno-associated virus (rAAV) vectors have emerged as the safe vehicles of choice for long-term gene transfer in mammalian nervous system. Recombinant adeno-associated virus–mediated localized gene transfer in adult nervous system following ...
Asad Jan +4 more
doaj +1 more source
Setup‐Optimized Sequencing in Job Shops: Modeling Workstation Productivity and Lateness Behavior
Advanced Engineering Materials, EarlyView.Setup‐optimized sequencing in job‐shop production creates a trade‐off between productivity improvement and schedule reliability. A WIP‐explicit modeling framework links sequencing‐induced productivity gains and lateness dispersion through the production operating curve.
Friederike Stefanowski +2 more
wiley +1 more source