Results 51 to 60 of about 95,139 (292)

Young children's perspectives of time: New directions for co‐constructing understandings of quality in ECEC

British Educational Research Journal, EarlyView., 2023
Abstract Children's relationship with time in preschools is an under‐researched area. Young children rarely know how to measure time using a clock, but their experiences of time may contribute to understanding children's well‐being and debates about quality in preschools.
Kristín Dýrfjörð, Anna Magnea Hreinsdóttir, Adrijana Visnjic‐Jevtic, Alison Clark   +3 more
wiley   +1 more source

Trajectories of Physical Function in Canadian Children with Juvenile Idiopathic Arthritis

Arthritis Care &Research, Accepted Article.
Objectives We describe trajectories of physical function in children newly diagnosed with juvenile idiopathic arthritis (JIA) and identify trajectories with persisting functional impairments and associated baseline characteristics. Methods We included patients enrolled in the Canadian Alliance of Pediatric Rheumatology Investigators (CAPRI) Registry ...
Clare Cunningham, Meghan McPherson, Lillian Lim, Roberta A. Berard, Matthew Berkowitz, Jean‐Philippe Proulx‐Gauthier, Brian M. Feldman, Nicole Johnson, Dax G. Rumsey, Heinrike Schmeling, Lori B. Tucker, Thomas Loughin, Kristin M. Houghton, Jaime Guzman, The CAPRI Registry Investigators   +14 more
wiley   +1 more source

Prognosis of Bearing Degradation Using Gradient Variable Forgetting Factor RLS Combined With Time Series Model

IEEE Access, 2018
Rolling element bearing is a critical component in many mechanical systems in view of its critical functionality. One of the major issues industries face today is the failure of bearings, which results in catastrophic consequences.
Yanfei Lu, Qing Li, Zhipeng Pan, Steven Y. Liang   +3 more
doaj   +1 more source

A State Space Modeling Method for Aero-Engine Based on AFOS-ELM

Energies, 2022
State space models (SSMs) are important for multi-variable performance analysis and controller design of aero-engines. In order to solve the problems of the traditional state space modeling methods that rely on component-level models (CLMs) and cannot be
Hongyi Chen, Qiuhong Li, Shuwei Pang, Wenxiang Zhou   +3 more
doaj   +1 more source

Variable forgetting factor nonlinear RLS algorithmin correlated mixture noise

Electronics Letters, 2001
A new nonlinear RLS adaptive algorithm with a variable forgetting factor is introduced. The autocorrelations of nonzero lags, which is insensitive to additive noise, is used to control the forgetting factor of the nonlinear RLS. This scheme provides an algorithm with good tracking capability and small model error in correlated impulsive noise.
S.H. Leung, C.F. So
openaire   +1 more source

Recursive Parametric Frequency/Spectrum Estimation for Nonstationary Signals With Impulsive Components Using Variable Forgetting Factor [PDF]

, 2013
published_or_final_versio
Chan, SC, Zhang, ZG
core   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Accelerate Convergence of Polarized Random Fourier Feature-Based Kernel Adaptive Filtering With Variable Forgetting Factor and Step Size

IEEE Access, 2020
The random Fourier feature as an efficient kernel approximation method can effectively suppress the network growth of the traditional kernel-based adaptive filtering algorithm.
Yonghui Xu, Zixuan Yang, Yuqi Liu, Shouda Jiang   +3 more
doaj   +1 more source

Application of Laguerre based adaptive predictive control to Shape Memory Alloy (SMA) actuators [PDF]

, 2013
This paper discusses the use of an existing adaptive predictive controller to control some Shape Memory Alloy (SMA) linear actuators. The model consists in a truncated linear combination of Laguerre filters identified online.
GIRAUD-AUDINE, Christophe, KANNAN, S., PATOOR, Etienne   +2 more
core   +8 more sources

Multi‐Scale Interface Engineering of MXenes for Multifunctional Sensory Systems

Advanced Functional Materials, EarlyView.
MXenes, as two‐dimensional transition metal carbides and nitrides, demonstrate remarkable capabilities for multifunctional sensing applications. This review systematically examines multi‐scale interface engineering approaches that enhance sensing performance, enable diverse detection functionalities, and improve system‐level compatibility in MXene ...
Jiaying Liao, Sin‐Yi Pang, Jianhua Hao
wiley   +1 more source