Results 61 to 70 of about 8,432 (220)

Fourier methods for sufficient dimension reduction in regression

, 2005
Consider a univariate response Y and a p-dimensional vector X of continuous predictors. Sufficient dimension reduction is intended to identify a subspace of X that contains all the information of X on Y.
Zeng, Peng
core  

Subspace Acceleration for Efficient Nonlinear Water Wave Simulation

International Journal for Numerical Methods in Fluids, EarlyView.
We introduce an exponentially weighted subspace acceleration technique to reduce GMRES iterations for solving the Poisson equation with time‐dependent coefficients in nonlinear, dispersive free‐surface flows governed by the incompressible Navier‐Stokes equations. The method significantly reduces memory requirements and computational complexity compared
Rasmus Kleist Hørlyck Sørensen, Margherita Guido, Allan Peter Engsig‐Karup, Daniel Kressner   +3 more
wiley   +1 more source

Colourings of Uniform Group Divisible Designs and Maximum Packings

Journal of Combinatorial Designs, EarlyView.
ABSTRACT A weak c $c$‐colouring of a design is an assignment of colours to its points from a set of c $c$ available colours, such that there are no monochromatic blocks. A colouring of a design is block‐equitable, if for each block, the number of points coloured with any available pair of colours differ by at most one.
Andrea C. Burgess, Peter Danziger, Diane Donovan, Tara Kemp, James G. Lefevre, David A. Pike, E. Şule Yazıcı   +6 more
wiley   +1 more source

Reduced occurrence of alpha waves during resting state predicts high attention‐deficit/hyperactivity disorder traits in young adults

JCPP Advances, EarlyView.
Abstract Background Attention‐deficit/hyperactivity disorder (ADHD) is a neurodevelopmental condition with significant cognitive and social impacts. Identifying reliable biomarkers for ADHD is crucial for developing personalised therapies. Electroencephalography (EEG) alpha oscillations (8–12 Hz) have been suggested as a potential biomarker, but ...
Julio Rodriguez‐Larios, Ümit Aydin, Gráinne McLoughlin   +2 more
wiley   +1 more source

STHANet: Spatiotemporal Hybrid Attention Network for auditory attention decoding

Journal of Intelligent Medicine, EarlyView.
STHANet integrates depth‐wise spatial filtering, log–variance temporal characterization, and transformer‐based spatiotemporal fusion to model global EEG interactions for direct AAD. Abstract Auditory attention decoding (AAD) aims to detect the target speaker from electroencephalography (EEG) signals in multi‐talker environments.
Xu Han, Hongxing Liu, Guangjian Ni
wiley   +1 more source

Sensory and chemical profiles of bread derived from the novel semi‐ and wholegrain flour enrichment of Triticum aestivum L. old genotypes with organic stinging nettle

JSFA reports, Volume 5, Issue 3, Page 104-112, March 2025.
Abstract Background Bread made from refined Triticum aestivum L. flour, a staple food in large parts of the world, is considered a nutrient security risk. Strategies used to enhance the nutritional and functional properties of wheat‐derived food products include the use of semi‐ or wholegrain flour, old genotypes, and enrichment through fortification ...
Ilaria Marotti, Elettra Frassineti, Mattia Alpi, Giovanni Dinelli   +3 more
wiley   +1 more source

Loop Quantum Photonic Chip for Coherent Multi‐Time‐Step Evolution

Laser &Photonics Reviews, EarlyView.
A loop quantum photonic chip (Loop‐QPC) enabling efficient multi‐step quantum simulation in a single run is demonstrated. Combining recirculating loops with cycle‐or‐measure control, Loop‐QPC eliminates repeated reprogramming and reduces loss. Experimental demonstration of three‐step unitary evolution confirms high‐fidelity operation, showcasing the ...
Yuancheng Zhan, Hui Zhang, Rebecca Erbanni, Andreas Burger, Lingxiao Wan, Xudong Jiang, Sanghoon Chae, Ai Qun Liu, Dario Poletti, Leong Chuan Kwek   +9 more
wiley   +1 more source

Elevator dynamic monitoring and early warning system based on machine learning algorithm

IET Networks, EarlyView., 2022
In order to monitor and warn the elevator dynamics, in this work, the machine learning algorithm is introduced, and the particle swarm algorithm is used to perfect the model. The model is optimised, and the experimental comparison shows that the optimisation of the model parameters can further improve the accuracy of the elevator load prediction. Then,
Shuai Zhang, Qiangguo Yin, Jinlong Wang
wiley   +1 more source

Dimension Reduction and Semiparametric Estimation of Survival Models

, 2010
In this paper, we propose a new dimension reduction method by introducing a nominal regression model with the hazard function as the conditional mean, which naturally retrieves information from complete data and censored data as well.
Zhang, D., Zhang, D, Xu, J, Xia, Y., Zhang, Dixin, Xu, Jinfeng, Xu, J., Xia, Y, Xia, Yingcun   +8 more
core   +1 more source

Controlling Collective Quasiparticle Dynamics Beyond Decoherence in Topological Interfaces

Laser &Photonics Reviews, EarlyView.
Gold nanoparticles placed above a deformed honeycomb plasmonic crystal couple to a chiral topological interface mode. The pseudospin‐split bands ψ+/ ψ− encode spin‐momentum locking, so emitters radiate directionally along the domain wall and share a common phase.
Fatemeh Davoodi
wiley   +1 more source