In this paper, a comprehensive mathematical model for designing an electric power supply chain network via considering preventive maintenance under risk of network failures is proposed. The risk of capacity disruption of the distribution network is handled via using a two-stage stochastic programming as a framework for modeling the optimization problem. An applied method of planning for the net...

Due to the deregulation trend in electric power system networks, many factors have to be taken into consideration such as lack of supplying electric power, system reliability, power quality, electric system losses and voltage disturbance and profile problems. The excessive growing needs for electricity force electrical researchers to implement new approaches through the electric system. Introdu...

A novel Encoder-Decoder Network with Guided Transmission Map (EDN-GTM) for single image dehazing scheme is proposed in this paper. The EDN-GTM takes conventional RGB hazy conjunction its transmission map estimated by adopting dark channel prior as the inputs of network. utilizes U-Net segmentation core network and various modifications including spatial pyramid pooling module Swish activation t...

regarding the nature of non-linear discrete placement, and in order to determine the optimal capacity of the substation, the goal in the present study will be a number of local optimum points. in this research, the problem of optimal placement posts to reduce power losses by considering distributed generation (dg). in formulating the objective function, geographical distribution density in the ...

In the last years, distribution network operators (DNOs) assumed transition strategies of electric networks (EDNs) towards active areas microgrids where, regardless operating regimes, flexibility, economic efficiency, low power losses, and high quality are ensured. Artificial intelligence techniques, combined with smart devices real-time remote communication solutions enormous data amounts, can...

Human eosinophil derived neurotoxin (EDN), a granule protein secreted by activated eosinophils, is a biomarker for asthma in children. EDN belongs to the human RNase A superfamily possessing both ribonucleolytic and antiviral activities. EDN interacts with heparin oligosaccharides and heparin sulfate proteoglycans on bronchial epithelial Beas-2B cells. In this study, we demonstrate that the bin...

Eosinophil-derived neurotoxin (EDN) is an eosinophil granule-derived secretory protein with ribonuclease and antiviral activity. We have previously shown that EDN can induce the migration and maturation of dendritic cells (DCs). Here, we report that EDN can activate myeloid DCs by triggering the Toll-like receptor (TLR)2-myeloid differentiation factor 88 signaling pathway, thus establishing EDN...