In the microgird (MG) system, cooperation of microgrids is a very essential issue.Hence, a multi-microgrid (MMG) system has been proposed to allocate the energy and information exchange for each MG.However, here the uncertainties of generations and loads are very difficult to deal with when considering the utilization of renewable energy (RE) resou
Oncolytic viruses as anticancer vaccines
Oncolytic virotherapy has shown impressive results in preclinical studies and first promising therapeutic read more outcomes in clinical trials as well.Since viruses are known for a long time as excellent vaccination agents, oncolytic viruses are now designed as novel anticancer agents combining the aspect of lysis-dependent cytoreductive activity
Diameter structure modeling and the calculation of plantation volume of black poplar clones
A method of diameter structure modeling was applied in the calculation of plantation here (stand) volume of two black poplar clones in the section Aigeiros (Duby): 618 (Lux) and S1-8.Diameter structure modeling by Weibull function makes it possible to calculate the plantation volume by volume line.Based on the comparison of the proposed method with
Estimation of generator electrical power output and turbine torque in modelling and field testing of OWC wave energy converters
The oscillating water column is one of the most tested and used wave energy converter types.It requires the use of an Canvas Mesh Athletic Running Shoes air turbine connected to an electrical generator.The deep understanding of all physical quantities of the energy chain components is based on transducers.The electrical generator efficiency is a ke
Accelerate Convergence of Polarized Random Fourier Feature-Based Kernel Adaptive Filtering With Variable Forgetting Factor and Step Size
The random Fourier feature as an efficient kernel approximation method can effectively suppress the network growth of the traditional kernel-based adaptive filtering algorithm.Polarized random Fourier feature kernel least-mean-square(PRFFKLMS) remarkably improved the accuracy performance of random Fourier feature-based kernel least-mean-square algo