Short-term load forecasting is crucial for the operations planning of an electrical grid.Forecasting the next 24 h of electrical load in a grid allows operators to plan and optimize their resources.The purpose of this study is to develop a more accurate short-term load forecasting method utilizing non-linear autoregressive artificial neural network
Background: Long noncoding RNAs (lncRNAs) act as epigenetic regulators in the process of ferroptosis and iron metabolism.This study aimed to identify an iron metabolism-related lncRNA signature to predict osteosarcoma (OS) survival natio glide on eyeshadow stick and the immune landscape.Methods: RNA-sequencing data and clinical information were obt
Disposing electronic plastic waste into construction materials is an eco-friendly and energy efficient solution to protect the environment.This work is aimed at enhancing the strength of self-compacting concrete (SCC) replacing sand with electronic waste, namely, High Impact polystyrene (HIPS) plastic granules and cementitious material with fly ash
For instrumentation purposes there are six main types of signal which can be used to modulate sensors.These are mechanical, thermal, electrical, magnetic, tokidoki hello kitty blind box chemical and radiant.Fibre optic sensors depend mainly for their operation on the modulating effect of the first five on visible or infrared radiation carried by op
Abstract Background STAT3 hyper-IgE syndrome (STAT3-HIES) is a rare primary immunodeficiency that clinically overlaps with atopic dermatitis.In addition to eczema, elevated serum-IgE, and recurrent infections, STAT3-HIES patients suffer from characteristic facies, midline defects, and retained primary teeth.To optimize dental management we ilootpap