The accurate forecast of wind power is crucial for the stable operation and economic dispatch of renewable energy power systems.To improve the accuracy of ultra-short-term wind-power forecast, we propose an improved model combining a convolutional neural network (CNN), bidirectional long short-term memory, and an attention mechanism network.First,
Neural entrainment is the phase synchronization of a population of neurons to an external Collections rhythmic stimulus such as applied in the context of transcranial alternating current stimulation (tACS).tACS can cause profound effects on human behavior.However, there remain a significant number of studies that find no behavioral effect when tACS
Unsteady sheet cavitation is very common on marine propulsor blades.The authors Computer Cover Down summarize a lifting-surface and a surface-panel model to solve for the unsteady cavitating flow around a propeller that is subject to nonaxisymmetric inflow.The time-dependent extent and thickness of the cavity were determined by using an iterative m
Drosophila melanogaster has played a key role in our understanding of invertebrate immunity.However, both functional and evolutionary studies of host-virus interaction in Drosophila have been limited by a dearth of native virus isolates.In particular, despite a long history of virus research, DNA viruses of D.melanogaster have only recently been de
In order to evaluate Cloth the effect of hydropriming on seed germination of Vigna radiata under salinity stress, an experiment was arranged in a factorial based on a completely randomized design with three replications in the laboratory of the Agricultural College of the University of Ramin Khuzestan.Treatments were salinity stress at 4 levels (0,