Triboelectric nanogenerators (TENGs), which convert mechanical energy into electrical energy, have been applied in the fields of wearable devices, environmental monitoring, and energy harvesting.In recent years, many researchers have utilized biomass-derived carbon materials (BDCMs) for the development of high-performance TENGs due to their wide ra
Intelligent Optimization Framework for Efficient Demand-Side Management in Renewable Energy Integrated Smart Grid
The implementation of real-time price-based demand response program and integration of renewable energy resources (RESs) improves efficiency and ensure stability of electric grid.This paper proposes a novel intelligent optimization based demand-side management (DSM) Nappy Pants framework for smart grid integrated with RESs.In the intelligent DSM fr
Leaf Area Index Estimation Algorithm for GF-5 Hyperspectral Data Based on Different Feature Selection and Machine Learning Methods
Leaf area index (LAI) is an essential vegetation parameter that represents the light energy utilization and vegetation canopy structure.As the only in-operation hyperspectral satellite launched by China, GF-5 is potentially useful for accurate LAI estimation.However, there is no research focus on evaluating GF-5 data for LAI Body Weight Scales esti
National review of end-of-life care withdrawal guidelines for non-invasive advanced respiratory support using document analysis
Objectives This study aims to understand the breadth of practice around end-of-life withdrawal of non-invasive advanced respiratory support (encompassing both continuous positive airway pressure and non-invasive ventilation) by analysing NHS-published guidelines and guidance for clinicians.This study seeks validity in the guidelines through a confl