Results 71 to 80 of about 105,022 (283)
Advanced Functional Materials, EarlyView.This work presents self‐propelled CRISPR/Cas9‐functionalized Au–MRs for rapid, amplification‐free, “on‐the‐fly” DNA detection. By harnessing motion‐assisted signal recovery, the platform achieved the limit of detection in low fM DNA concentrations, enabling detection across a wide dynamic range within only 5 min, which is significantly faster than any ...
Jyoti +3 more
wiley +1 more source
Finitely additive functions in measure theory and applications [PDF]
Opuscula MathematicaIn this paper, we consider, and make precise, a certain extension of the Radon-Nikodym derivative operator, to functions which are additive, but not necessarily sigma-additive, on a subset of a given sigma-algebra.
Daniel Alpay, Palle Jorgensen
doaj +1 more source
Advanced Functional Materials, EarlyView.This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim +7 more
wiley +1 more source
Analytic-numerical solution of random parabolic models: a mean square fourier transform approach
Mathematical Modelling and Analysis, 2018 This paper deals with the construction of mean square analytic-numerical solution of parabolic partial differential problems where both initial condition and coefficients are stochastic processes. By using a random Fourier transform, an infinite integral
María-Consuelo Casabán +2 more
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Systems Science & Control Engineering, 2020 This paper is concerned with a class of stochastic set differential equations (SSDEs) driven by a fractional Brownian motion (fBm) with the Lipschitzian condition. The solutions of SSDEs with an fBm are set-valued stochastic processes.
Jialu Zhu, Yong Liang, Weiyin Fei
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, 2020 The article is devoted to the expansions of iterated Ito stochastic integrals based on generalized multiple Fourier series converging in the sence of norm in the space $L_2([t, T]^k),$ $k\in\mathbb{N}.$ The method of generalized multiple Fourier series ...
Kuznetsov, Dmitriy F.
core
Peptide Sequencing With Single Acid Resolution Using a Sub‐Nanometer Diameter Pore
Advanced Functional Materials, EarlyView.To sequence a single molecule of Aβ1−42–sodium dodecyl sulfate (SDS), the aggregate is forced through a sub‐nanopore 0.4 nm in diameter spanning a 4.0 nm thick membrane. The figure is a visual molecular dynamics (VMD) snapshot depicting the translocation of Aβ1−42–SDS through the pore; only the peptide, the SDS, the Na+ (yellow/green) and Cl− (cyan ...
Apurba Paul +8 more
wiley +1 more source
A Weak Convergence to Hermite Process by Martingale Differences
Advances in Mathematical Physics, 2014 We consider the weak convergence to general Hermite process ZH,k of order k with index H. By applying martingale differences we construct a sequence {ZH,kn , n=1,2,…} of multiple Wiener-Itô stochastic integrals such that it converges in distribution to ...
Xichao Sun, Ronglong Cheng
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Wick calculus on spaces of regular generalized functions of Levy white noise analysis
Karpatsʹkì Matematičnì Publìkacìï, 2018 Many objects of the Gaussian white noise analysis (spaces of test and generalized functions, stochastic integrals and derivatives, etc.) can be constructed and studied in terms of so-called chaotic decompositions, based on a chaotic representation ...
M.M. Frei
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, 1977 Differential equations have been used to model physical systems, but in many processes this has not been sufficient due to the presence of random occurrences in the system. One method of dealing with this problem is to model the system as a stochastic or random process. A stochastic process, x, is a function mapping the product of a probability space,
openaire +3 more sources