Results 51 to 60 of about 7,605 (274)
ABSTRACT There is increasing interest in understanding and recognition of the importance of empathy effects at work. However, despite the two‐party nature of empathy, little research has distinguished between empathy‐giving versus empathy‐receiving, or between empathy‐giver versus receiver.
Xiaoxiao Jiang +3 more
wiley +1 more source
Adaptive Blind Multiuser Detection over Flat Fast Fading Channels Using Particle Filtering
We propose a method for blind multiuser detection (MUD) in synchronous systems over flat and fast Rayleigh fading channels. We adopt an autoregressive-moving-average (ARMA) process to model the temporal correlation of the channels.
Huang Yufei +4 more
doaj +1 more source
Living Well With Type 1 Diabetes in Middle School: A Student‐Centered Perspective
ABSTRACT Type 1 diabetes (T1D) is among the most common chronic illnesses affecting children and adolescents, meaning that all schools regularly include students with T1D. Supporting their well‐being requires understanding how they experience middle school to address their specific needs.
Isabelle Joing +4 more
wiley +1 more source
ARMA Modelling for Whispered Speech
The Autoregressive Moving Average(ARMA)model for whispered speech is proposed.Compared with normal speech,whispered speech has no fundamental frequency because of the glottis being semi-opened and turbulent flow being created,and formant shifting exists ...
Xue-li LI, Wei-dong ZHOU
doaj
A Comparative Study on a Triple-Concept Model of Two Techniques for Monitoring the Mean of Stationary Processes [PDF]
In recent years, it has been proven that integrating statistical process control, maintenance policy, and production can bring more benefits for the entire production systems.
Samrad Jafarian-Namin +4 more
doaj
ABSTRACT Over recent decades, action‐oriented research has gained prominence in co‐producing actionable knowledge to drive transformative change toward sustainability. However, further methodological developments are needed to support the transition to the application phase of such knowledge.
María D. López‐Rodríguez +7 more
wiley +1 more source
ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu +4 more
wiley +1 more source
Modelling The Volatility of Frankfurt Stock Exchange (DAX) Returns Using hybrid Models [PDF]
Recently, the interest of researchers in the use of hybrid models in the process of analyzing model time series with fluctuations and forecasting fluctuations in financial time series has increased significantly. Hybrid ARMA-GARCH models were created for
Hadj Khelifa +2 more
doaj +1 more source
Read the free Plain Language Summary for this article on the Journal blog. Abstract To investigate how niche and fitness differences determine the outcome of species interactions and shape local biodiversity patterns, research has typically focused on either simplified experimental systems that test specific mechanisms or observational studies where ...
Jared D. Huxley +2 more
wiley +1 more source
Some Algorithms for the Conditional Mean Vector and Covariance Matrix
We consider here the problem of computing the mean vector and covariance matrix for a conditional normal distribution, considering especially a sequence of problems where the conditioning variables are changing.
John F. Monahan
doaj

