12,737 research outputs found
Typically Developing Preschoolers’ Behavior Toward Peers with Disabilities in Inclusive Classroom Contexts
This study aimed to investigate typically developing preschoolers’ behavior toward peers with disabilities in inclusive classrooms, focusing on the co-occurrence of the interactions between children with and without disabilities with various classroom contexts. Behaviors of 22 typically developing preschoolers were observed and coded on two different days in both indoor and outdoor classrooms during free play, small group activities, transitions, and meals/snack. Typically developing children interacted with peers with disabilities for a small amount of time; the interactions were significantly more likely in the outdoor classroom, in either child- or teacher-directed activities, and in play activities. There was a lack of adults’ intentional scaffolding for social interactions between children with and without disabilities even when they were near the children. Activity contexts contribute to children’s social behavior, and teachers need more support and training with inclusive and collaborative practices
Intelligent Modeling Approach to Predict Effluent Quality of Wastewater Treatment Process
Monitoring of effluent quality remains a challenge to the wastewater treatment process (WWTP). In order to provide a reliable tool for the online monitoring of effluent quality, an intelligent modeling approach, which consists of online sensors and an effluent quality predicting plant, is developed to predict effluent quality in this chapter. The intelligent modeling approach, based on a self-organizing fuzzy neural network (SOFNN), is able to enhance the modeling performance by organizing the structure and adjusting the parameters simultaneously. The experimental studies of intelligent modeling approach have been performed on several systems to verify the effectiveness. The comparison with other existing methods has been made and demonstrated that the intelligent modeling approach is of better performance
Fast Current Regulation and Persistent Current Maintenance of High-Temperature Superconducting Magnets with Contact Power Supply and Flux Pump
Due to the properties of high temperature superconducting (HTS) materials,
current attenuation is inevitable during the closed-loop operation of HTS
magnets. When a contact DC power supply is used to supplement this attenuation,
it inevitably creates a huge thermal burden on the cryogenic system. The flux
pump is a revolutionary new power source that can charge closed-loop HTS magnet
wirelessly. However, for HTS magnets with a large inductance, such as particle
accelerator magnets and magnetic confinement magnet in Tokamak devices, the
flux pump cannot fast adjust the DC current of the magnet, due to its small DC
output voltage. Here, we present a method to fast regulate the current in a
closed-loop HTS magnet using a contact DC power supply and persistent current
switch (PCS). After current regulation, the HTS magnet is operated in the
persistent current mode (PCM) with a flux pump. By applying the "four-quadrant"
control theory of the flux pump allows, the current in HTS magnet is controlled
with high stability. This study provide a power strategy for the fast current
regulation and maintenance of persistent current in the HTS magnet, enabling
the industrial applications of flux pumps for HTS magnets with large
inductance.Comment: 9 pages, 13 figure
Edge Shear Flows and Particle Transport near the Density Limit in the HL-2A Tokamak
Edge shear flow and its effect on regulating turbulent transport have long
been suspected to play an important role in plasmas operating near the
Greenwald density limit . In this study, equilibrium profiles as well as
the turbulent particle flux and Reynolds stress across the separatrix in the
HL-2A tokamak are examined as is approached in ohmic L-mode discharges.
As the normalized line-averaged density is raised, the
shearing rate of the mean poloidal flow drops, and the
turbulent drive for the low-frequency zonal flow (the Reynolds power ) collapses. Correspondingly, the turbulent particle
transport increases drastically with increasing collision rates. The geodesic
acoustic modes (GAMs) gain more energy from the ambient turbulence at higher
densities, but have smaller shearing rate than low-frequency zonal flows. The
increased density also introduces decreased adiabaticity which not only
enhances the particle transport but is also related to a reduction in the
eddy-tilting and the Reynolds power. Both effects may lead to the cooling of
edge plasmas and therefore the onset of MHD instabilities that limit the plasma
density
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