Abstract The increasing number of DC loads, such as electric vehicles (EVs), has resulted in micro-grid undergoing difficulty satisfying the various demands loads. study develops a multi-objective capacity optimization allocation model for hybrid on bases users’ satisfaction and orderly charging/discharging EVs. proposed aims to reduce cost AC/DC improve satisfaction. Particle swarm algorithm i...

abstract background and aim: one of the major problems with resin composite restorations is the weakness of bonding between the new and aged composites. since appropriate micromechanical retention is necessary for the repair of aged resin composite restorations, the level of surface roughness after sandblasting can be influential in this regard. considering the diverse composition of available ...

Adiponectin, an adipocyte protein important in insulin sensitization and cardioprotection, has a strong genetic component. We hypothesized that variants in the adiponectin gene (adipocyte collagen-domain containing [ACDC]) contribute to adiponectin levels in a biracial adolescent cohort. We genotyped 11 ACDC single nucleotide polymorphisms (SNPs) in 631 non-Hispanic white and 553 African-Americ...

The AC-coupling of components for stand-alone PV-battery-diesel hybrid power systems and the distributed generation in renewable energy micro grids is a challenging task for the control technology. Today’s systems mostly run in master/slave operation with one battery inverter or one genset as the grid master. Extendable distributed power supplies can be considerably improved by introducing mult...

The hybrid power system (HPS) is an emerging power generation scheme due to the plentiful availability of renewable energy sources. Renewable energy sources are characterized as highly intermittent in nature due to meteorological conditions, while the domestic load also behaves in a quite uncertain manner. In this scenario, to maintain the balance between generation and load, the development of...

Motivation Recent advances in mass cytometry allow simultaneous measurements of up to 50 markers at single-cell resolution. However, the high dimensionality of mass cytometry data introduces computational challenges for automated data analysis and hinders translation of new biological understanding into clinical applications. Previous studies have applied machine learning to facilitate processi...