Results 81 to 90 of about 1,126,919 (280)

DNA‐Origami‐Assembled Rhodium Nanoantennas for Deep‐UV Label‐Free Single‐Protein Detection

Advanced Functional Materials, EarlyView.
Deep‐UV autofluorescence of single proteins in DNA origami‐based rhodium nanoantennas. Precisely positioned within the plasmonic nanogap, proteins retain their native state while their intrinsic emission is strongly amplified, enabling label‐free single‐molecule detection and opening new opportunities for highly sensitive and specific biosensing ...
Nicco Corduri, Malavika Kayyil Veedu, Yifan Yu, Yanqiu Zou, Jie Liu, Denis Garoli, Guillermo P. Acuna, Jérôme Wenger, Karol Kołątaj   +8 more
wiley   +1 more source

Stochastic ordering of discrete multivariate distributions. Algorithm in C++ with applications in the comparison of number of claims and extremes order statistics

Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica
In this article we present a stochastic ordering verification algorithm between multivariate discrete distributions implemented in the C++ programming language.
Catana Luigi-Ionut
doaj   +1 more source

Computing Probabilities of Finding Extremes in a Random Set

Mathematics
This study examines the occurrence of extreme points in random samples of size n obtained by mapping uniformly distributed random variables through a function into a multidimensional space.
Gheorghiţă Zbăganu, Anişoara Maria Răducan, Marius Rădulescu   +2 more
doaj   +1 more source

Tailoring K+/Vacancy Disordered Layered Oxide via Charge Engineering for Stabilizing High‐Performance Potassium‐Ion Batteries

Advanced Functional Materials, EarlyView.
With a charge‐ion coupling engineering strategy, a K+/vacancy disordered K0.5Mn0.8Co0.1Ti0.1O2 material has been designed. The targeted transition metal doping disrupts charge ordering and inducing K+/vacancy disordering, thereby enabling rapid K+ diffusion through interconnected channels and a stable solid‐solution reaction mechanism.
Yongfeng Jia, Xuanpeng Wang, Jiashen Meng, Lujun Zhu, Fanjie Xia, Hong Wang, Fang Liu, Xiao Zhang, Quanquan Pang, Jian Wang, Zhitong Xiao   +10 more
wiley   +1 more source

RSD: An R package to calculate stochastic dominance

SoftwareX
Stochastic dominance is a classical method for comparing two random variables using their probability distribution functions. As for all stochastic orders, stochastic dominance does not always establish an order between the random variables, and almost ...
Shayan Tohidi, Sigurdur Olafsson
doaj   +1 more source

Stability-preserving model order reduction for linear stochastic Galerkin systems

Journal of Mathematics in Industry, 2019
Mathematical modeling often yields linear dynamical systems in science and engineering. We change physical parameters of the system into random variables to perform an uncertainty quantification.
Roland Pulch
doaj   +1 more source

BACH, a Bayesian Optimization Protocol for Accurate Coarse‐Grained Parameterization of Organic Liquids

Advanced Functional Materials, EarlyView.
We present a fully automated Bayesian optimization (BO) protocol for the parameterization of nonbonded interactions in coarse‐grain CG force fields (BACH). Using experimental thermophysical data, we apply the protocol to a broad range of liquids, spanning linear, branched, and unsaturated hydrocarbons, esters, triglycerides, and water.
Janak Prabhu, Akhil Pratap Singh, Pablo Campomanes, Stefano Vanni   +3 more
wiley   +1 more source

STABILITY CRITERIA FOR STOCHASTIC DISCRETE-TIME FRACTIONAL ORDER SYSTEMS [PDF]

Fiabilitate şi Durabilitate, 2016
In this paper are discussed stability problems for a class of discrete-time fractional systems (DTFSs) with independent random perturbations. Two notions of mean square stability (MSS) and mean square asymptotic stability (MSAS) are introduced for the ...
Carmen BARBACIORU, Viorica Mariela UNGUREANU   +1 more
doaj  

Accelerated Stochastic ADMM with Variance Reduction

, 2018
Alternating Direction Method of Multipliers (ADMM) is a popular method in solving Machine Learning problems. Stochastic ADMM was firstly proposed in order to reduce the per iteration computational complexity, which is more suitable for big data problems.
Qian, Hui, Shen, Zebang, Zhang, Chao, Zhou, Jianya, Zhou, Jianying, Zhou, Tengfei   +5 more
core  

Speckle‐Engineered Upconversion Amplification in Nanoemulsion‐Templated Hydrogel Microdomes

Advanced Functional Materials, EarlyView.
Nanoemulsion‐confined PEGDA microdomes generate speckle‐like excitation fields that strongly amplify upconversion luminescence upon dehydration, enabling filter‐free visible readout with reversible on–off switching. DMD‐based lithography yields scalable, shape‐programmable arrays for moisture‐responsive displays and optical encryption.
Chaeyeong Ryu, Byungcheon Yoo, Seunghun Lee, Hyungyo Jeong, Sanggyun Jeong, Heesu Cho, Jongwon Oh, Dahye Baek, Jongkyu Kim, Yubin Lee, Eunsu Gu, Dong‐Hwan Kim, Jung‐Hoon Park, Jiseok Lee   +13 more
wiley   +1 more source