In recent years, deep learning models have been widely used in 3D reconstruction fields and have made remarkable progress.How to stimulate deep academic interest to effectively manage the explosive augmentation of 3D Ceiling Fan Accessory models has been a research hotspot.This work shows mainstream 3D model retrieval algorithm programs based on de
Background/Aims: Atherosclerosis is a multifactorial chronic disease and is the main cause of death and impairment Food Based Supplements in the world.Endothelial injury and apoptosis play a crucial role in the onset and development of atherosclerosis.MicroRNAs (miRNAs) have been proven to be involved in the pathogenesis of atherosclerosis.However,
Current elite studies argue that inequality produces negative externalities to elites, who may either promote democracy or adopt authoritarian measures in order to shield their interests from the actions of the rebellious poor.This article argues that elite framing of poverty and inequality in the press is a good thermometer of elite public respons
Abstract Background Low birth weight (LBW) is a critical Sheets global health issue that affects infants disproportionately, particularly in developing countries.This study adopted causal machine learning (CML) algorithms for predicting LBW in newborns, drawing from midwife-led continuity care (MLCC).Methods A quasi-experimental study was carried o