ObjectivesThe existing hybrid energy storage system control strategy finds it difficult to maintain the Lite-Plan HRN Conversion Kits state of charge (SOC) within a reasonable range while also meeting the advanced charging and discharging needs due to future wind power fluctuations.Therefore, a new advanced fuzzy control strategy for hybrid energy
A low-cost, battery-powered acoustic trap for surveilling male Aedes aegypti during rear-and-release operations.
The Aedes aegypti mosquito is a primary vector of several serious arboviruses throughout the world and is therefore of great concern to many public health organizations.With vector control methodology pivoting towards rearing and releasing large numbers of genetically modified, sterilized, or Wolbachia-infected male mosquitoes to control vector pop
Logistics Center Selection and Logistics Network Construction from the Perspective of Urban Geographic Information Fusion
The last-mile logistics in cities have become an indispensable part of the urban logistics system.This study aims to explore the effective selection of last-mile logistics nodes to enhance the efficiency of logistics distribution, strengthen the image of corporate distribution, further reduce corporate operating costs, and alleviate urban traffic c
Integrating disability into equity-focused general education teacher preparation
Most students with disabilities spend the majority of their school day in general education classrooms, yet most general education teachers do not feel prepared to meet the diverse learning and social and emotional needs of these students.A key to the enactment of evidence-informed practice for creating and supporting meaningful learning Concealer
Predictive Power Estimation Algorithm (PPEA)--a new algorithm to reduce overfitting for genomic biomarker discovery.
Toxicogenomics promises to aid in predicting adverse effects, understanding the mechanisms of drug action or toxicity, and uncovering unexpected or secondary pharmacology.However, modeling adverse effects using high dimensional and high noise genomic data is prone to over-fitting.Models constructed from such data sets often consist of a large numbe