Results 121 to 130 of about 35,609 (308)

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

Subspace structural constraint-based discriminative feature learning via nonnegative low rank representation.

PLoS ONE, 2019
Feature subspace learning plays a significant role in pattern recognition, and many efforts have been made to generate increasingly discriminative learning models.
Ao Li, Xin Liu, Yanbing Wang, Deyun Chen, Kezheng Lin, Guanglu Sun, Hailong Jiang   +6 more
doaj   +1 more source

Linear Invariant Systems Theory for Signal Enhancement

, 2011
This paper discusses a linear time invariant (LTI) systems approach to signal enhancement via projective subspace techniques. It provides closed form expressions for the frequency response of data adaptive finite impulse response eigenfilters.
Lang, Elmar W., Georgieva, P., Teixeira, A. J. S., Miguel, G., Tomé, A.M., Teixeira, Ana Rita   +5 more
core  

Optical Skyrmions with Tunable or Reconfigurable Topology Using Spin‐Decoupled Metaoptics

Laser &Photonics Reviews, EarlyView.
The work introduces advanced optical elements capable of generating and dynamically reconfiguring complex light patterns known as optical skyrmions. By precisely shaping light polarization at the nanoscale, a single engineered metasurface can generate and manipulate robust and tunable polarization textures in an efficient and scalable way.
Andrea Vogliardi, Daniele Bonaldo, Simone Dal Zilio, Vittorio Apolloni, Filippo Romanato, Gianluca Ruffato   +5 more
wiley   +1 more source

A Comparison of Subspace Methods for Sylvester Equations

, 2001
Sylvester equations AX − XB = C play an important role in numerical linear algebra. For example, they arise in the computation of invariant subspaces, in control problems, as linearizations of algebraic Riccati equations, and in the discretization of partial differential equations. For small systems, direct methods are feasible.
openaire   +4 more sources

Forecasting VARMA processes using VAR models and subspace-based state space models

VAR modelling is a frequent technique in econometrics for linear processes. VAR modelling offers some desirable features such as relatively simple procedures for model specification (order selection) and the possibility of obtaining quick non-iterative ...
del Hoyo, Juan, Hernández, Cesáreo, Izquierdo, Segismundo S.   +2 more
core  

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

Physics‐Informed Generative Machine Learning for Designing Crack‐Free γ′‐Strengthened Ni‐Based Superalloys for Laser Powder Bed Fusion

Materials Genome Engineering Advances, EarlyView.
This research proposes a physics‐informed generative machine learning framework to design SHA800, a crack‐free γ′‐strengthened nickel‐based superalloy for laser powder bed fusion, achieving a 43% γ′ volume fraction and 587 HV0.2 hardness. ABSTRACT Fabricating γ′‐strengthened nickel‐based superalloys via laser powder bed fusion (LPBF) faces significant ...
Kai Guo, Dongwei Guan, Tao Hu, Yaqing Hou, Xiaoqun Li, Zhongnan Bi, Songzhe Xu, Hao Yu, Wei Xu, Weidong Xuan, Chaoyue Chen, Zhongming Ren   +11 more
wiley   +1 more source

Subspace Learning for Dual High-Order Graph Learning Based on Boolean Weight

Entropy
Subspace learning has achieved promising performance as a key technique for unsupervised feature selection. The strength of subspace learning lies in its ability to identify a representative subspace encompassing a cluster of features that are capable of
Yilong Wei, Jinlin Ma, Ziping Ma, Yulei Huang   +3 more
doaj   +1 more source