The digital economy and multi-faceted markets have significantly contributed to the efficacy of most transactions governing modern humankind.Digital platforms have become an irreplaceable cross-border asset that has acclimatized with technological advancements.However, there is obscurity in the methods of accommodation of digital economy in competi
Socioeconomic inequalities in the use of outpatient services in Brazil according to health care need: evidence from the World Health Survey
Abstract Background The Brazilian health system is founded on the principle of equity, meaning provision of equal care for equal needs.However, little is known about the impact of health policies in narrowing socioeconomic health inequalities.Using data from the Brazilian World Health Survey, this paper addresses socioeconomic inequalities in the u
Comprehensive exosomal microRNA profile and construction of competing endogenous RNA network in autism spectrum disorder: A pilot study
Exosomes have been demonstrated to exert momentous roles in autism spectrum disorder (ASD).However, few studies have Bracelet reported a correlation between exosomal microRNAs (miRNAs) and ASD.To date, our understanding of crucial competing endogenous RNA (ceRNA) networks in ASD remains limited.Herein, the exosomal miRNA profile in the peripheral b
Polystyrene Waste Recycling Process as an Alternative Antistatic Packaging Raw Material
Composite synthesis from styrofoam (polystyrene-based) was carried out by solvent blending method in which the solvent used was gasoline.The carbon black (CB) was used as filler comes from coconut shells.The samples were given a variation of filler composition: 0, 1, 3, and 5% of the total weight of the composite to be formed.In this method, stirri
A framework for optimizing environmental covariates to support model interpretability in digital soil mapping
A common practice in digital soil mapping (DSM) is to incorporate many environmental covariates into a machine-learning algorithm to predict the spatial patterns of soil attributes.Variance inflation factor (VIF), principal component analysis (PCA), and recursive feature elimination (RFE) are three statistical methods that can be used to reduce the