Results 51 to 60 of about 9,797 (163)

Consumer Acceptance of Conversational Bots: Systematic Literature Review and Meta‐Analysis

open access: yesJournal of Consumer Behaviour, Volume 25, Issue 3, Page 1488-1520, May 2026.
ABSTRACT As consumers increasingly rely on conversational bots for daily tasks, evidence surrounding motivations for acceptance remains scattered. A systematic literature review (SLR) was conducted on 64 journal articles published between 2008 and 2024, of which 48 provided sufficient quantitative data for inclusion in a meta‐analysis.
Omar H. Fares, Seung Hwan (Mark) Lee
wiley   +1 more source

Fault Classification in Power Transformers Using Dissolved Gas Analysis and Optimized Machine Learning Algorithms

open access: yesMachines
Power transformers are critical assets in electrical power systems, yet their fault diagnosis often relies on conventional dissolved gas analysis (DGA) methods such as the Duval Pentagon and Triangle, Key Gas, and Rogers Ratio methods.
Vuyani M. N. Dladla   +1 more
doaj   +1 more source

Fault Prediction for Power Transformer Using Optical Spectrum of Transformer Oil and Data Mining Analysis

open access: yesIEEE Access, 2020
Periodic preventive maintenance of power transformer should be conducted for its health monitoring and early fault detection. Transformer oil is a vital element where its contents and properties need to be monitored during the service life of a power ...
Nur Afini Fauzi   +8 more
doaj   +1 more source

A Meta‐Analytic Review of the Within‐Person Relationship Between Affect and Job Performance

open access: yesJournal of Organizational Behavior, Volume 47, Issue 4, Page 685-709, May 2026.
ABSTRACT In recent years, there has been a shift from a between‐person, static view of trait affect and stable performance to a within‐person, dynamic view of state affect and episodic performance. However, these dynamic relationships have yet to be summarized.
John A. Aitken   +4 more
wiley   +1 more source

What is the Value of Geometric Models to Understand Matter? [PDF]

open access: yes, 2015
This article analyzes the value of geometric models to understand matter with the examples of the Platonic model for the primary four elements (fire, air, water, and earth) and the models of carbon atomic structures in the new science of crystallography.
Monnoyeur, Francoise
core  

Nanoscale roughness and morphology affect the IsoElectric Point of titania surfaces [PDF]

open access: yes, 2013
We report on the systematic investigation of the role of surface nanoscale roughness and morphology on the charging behaviour of nanostructured titania (TiO2) surfaces in aqueous solutions. IsoElectric Points (IEPs) of surfaces have been characterized by
Borghi, F.   +3 more
core   +4 more sources

A Dynamic Adam Based Deep Neural Network for Fault Diagnosis of Oil-Immersed Power Transformers

open access: yesEnergies, 2019
This paper presents a Dynamic Adam and dropout based deep neural network (DADDNN) for fault diagnosis of oil-immersed power transformers. To solve the problem of incomplete extraction of hidden information with data driven, the gradient first-order ...
Minghui Ou   +3 more
doaj   +1 more source

Simultaneously modelling far-infrared dust emission and its relation to CO emission in star forming galaxies

open access: yes, 2016
We present a method to simultaneously model the dust far-infrared spectral energy distribution (SED) and the total infrared $-$ carbon monoxide (CO) integrated intensity $(S_{\rm IR}-I_{\rm CO})$ relationship.
Cormier, Diane   +8 more
core   +1 more source

Achieving Net‐Zero in the Electricity Sector in China by 2050 Considering Environmental and Economic Objectives

open access: yesAdvanced Sustainable Systems, Volume 10, Issue 3, March 2026.
China's pathways to net‐zero electricity by 2050 are evaluated using life cycle environmental and economic assessment across six scenarios. Results show that a renewables‐only grid offers the best overall environmental performance and lowest cost, but increases burdens on metal depletion, land use, and ecotoxicity.
Tingfeng Song   +2 more
wiley   +1 more source

A combined technique for power transformer fault diagnosis based on k‐means clustering and support vector machine

open access: yesIET Nanodielectrics
This contribution presents a two‐step hybrid diagnostic approach, combining k‐means clustering for subset formation, followed by subset analysis conducted by human experts.
Arnaud Nanfak   +5 more
doaj   +1 more source

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