Results 91 to 100 of about 36,754 (262)
Advanced Intelligent Discovery, EarlyView.Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
Newtonian heating effect in nanofluid flow by a permeable cylinder
Results in Physics, 2017 Here characteristics of Newtonian heating in permeable stretched flow of viscous nanomaterial are investigated. Adopted nanomaterial model incorporates the phenomena of Brownian motion and thermophoresis.
T. Hayat +3 more
doaj +1 more source
Evolution of Physical Intelligence Across Scales
Advanced 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
Small values and functional laws of the iterated logarithm for operator fractional Brownian motion
Open MathematicsThe multivariate Gaussian random fields with matrix-based scaling laws are widely used for inference in statistics and many applied areas. In such contexts, interests are often Hölder regularities of spatial surfaces in any given direction.
Wang Wensheng, Dong Jingshuang
doaj +1 more source
Stochastic Current of Bifractional Brownian Motion
Journal 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
Advanced Intelligent Discovery, EarlyView.Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Coupling of lever arm swing and biased Brownian motion in actomyosin.
PLoS 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
Human‐in‐the‐Loop Swarms: A Bionic Swarm Approach to Real‐World Soil Mapping
Advanced Intelligent Systems, EarlyView.This article introduces the “Bionic Swarm,” a novel system that lowers the barriers to real‐world swarm validation by abstracting difficult hardware tasks to app‐guided human agents. We demonstrate the system's utility through the experimental validation of a geotechnical soil‐mapping swarm algorithm and show superior performance to baseline approaches
Petras Swissler +5 more
wiley +1 more source
Super Brownian motion with interactions
Stochastic 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
Advanced Intelligent Systems, EarlyView.A physics‐guided deep learning framework, ParamNet, is introduced for the intelligent self‐inversion of vacuum optical tweezers. By fuzing dual‐branch time–frequency features with physical dynamical constraints, it achieves high‐accuracy calibration of trap parameters from short‐window, low‐frequency trajectories, outperforming traditional methods ...
Qi Zheng +4 more
wiley +1 more source