Results 131 to 140 of about 1,246,913 (311)

Stochastic Current of Bifractional Brownian Motion

open access: yesJournal of Applied Mathematics, 2014
We study the regularity of stochastic current defined as Skorohod integral with respect to bifractional Brownian motion through Malliavin calculus. Moreover, we similarly derive some results in the case of multidimensional multiparameter.
Jingjun Guo
doaj   +1 more source

Coupling of lever arm swing and biased Brownian motion in actomyosin.

open access: yesPLoS Computational Biology, 2014
An important unresolved problem associated with actomyosin motors is the role of Brownian motion in the process of force generation. On the basis of structural observations of myosins and actins, the widely held lever-arm hypothesis has been proposed, in
Qing-Miao Nie   +5 more
doaj   +1 more source

Risk preference based option pricing in a fractional Brownian market [PDF]

open access: yes
We focus on a preference based approach when pricing options in a market driven by fractional Brownian motion. Within this framework we derive formulae for fractional European options using the traditional idea of conditional expectation.
Rostek, Stefan, Schöbel, Rainer
core  

Hydrodynamic Selection of Polymorphic Assembly Pathways in Plant Protein Amyloid Fibrils

open access: yesAdvanced Science, EarlyView.
Hydrodynamic conditions are revealed to govern polymorphic assembly of soy protein amyloid fibrils. Distinct flow‐induced drafting, kissing, and docking dynamics direct fibril growth into multiple morphologies, linking fluid mechanics with nanoscale assembly and enabling rational design of functional amyloid materials.
Zejian Xu   +8 more
wiley   +1 more source

Super Brownian motion with interactions

open access: yesStochastic Processes and their Applications, 2003
Let us denote by \(\mathcal M\) the space of all finite measures on \(\mathbb R^ {d}\) equipped with the topology of weak convergence and suppose that \(\theta : \mathcal M\to \mathbb R_ +\), \(b:\mathcal M \times \mathbb R^ {d}\to \mathbb R^ {d}\) and \(\sigma :\mathcal M\times \mathbb R^ {d}\to \mathbb R^ {d\times d}\) are bounded continuous ...
Dhersin, Jean-Stephane, Delmas, J.-F.
openaire   +3 more sources

The Confidence Limits of a Geometric Brownian Motion [PDF]

open access: yes
This paper investigates whether the assumption of Brownian motion often used to describe commodity price movements is satisfied. Using historical data from 17 commodity futures contracts specific tests of fractional and ordinary Brownian motion are ...
Power, Gabriel J., Turvey, Calum G.
core  

ReLink: Reliable Deep Learning for Microscopic Motion Tracking

open access: yesAdvanced Science, EarlyView.
ReLink enables reliable trajectory linking in single‐particle tracking by integrating physics‐informed motion statistics with confidence‐based adaptive filtering. Across diverse simulated and experimental conditions, ReLink robustly reconstructs trajectories and preserves the fidelity of downstream analyses, enabling accurate characterization of ...
Yuan Jiang   +7 more
wiley   +1 more source

Random matrices, large deviations and reflected Brownian motion [PDF]

open access: yes
In this thesis we present results in large deviations theory, free probability and the theory of reflected Brownian motion. We study the large deviations behaviour of the block structure of a non-crossing partition chosen uniformly at random.
Ortmann, Janosch
core  

Evolution of Physical Intelligence Across Scales

open access: yesAdvanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu   +7 more
wiley   +1 more source

3D Closed‐Loop Navigation of Magnetic Microswimmers Using Vision‐Derived Depth Feedback

open access: yesAdvanced Intelligent Systems, EarlyView.
A planar magnetic microswimmer is navigated in three dimensions under a standard microscope. Image defocus supplies a real‐time depth cue, and model‐predictive control with A* planning steers the body on surfaces and in free swimming. Axial position is regulated by propulsion alone, without magnetic field gradients or extra cameras.
Yasin Cagatay Duygu   +2 more
wiley   +1 more source

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