THE ECONOMIC BURDEN ASSOCIATED WITH UNMET SURGICAL NEEDS IN LIBERIA: A RETROSPECTIVE MACROECONOMIC ANALYSIS BASED ON A NATIONWIDE ENUMERATION OF SURGICAL PROCEDURES

The economic burden associated with unmet surgical needs in Liberia: a retrospective macroeconomic analysis based on a nationwide enumeration of surgical procedures

Objectives The economic consequences of untreated surgical disease are potentially large.The aim of this study was to estimate the economic burden associated with unmet surgical needs in Liberia.Design A nationwide enumeration of surgical procedures and providers was conducted in Liberia in 2018.We estimated the number of disability-adjusted life y

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Improving Light Extraction of Organic Light-Emitting Devices by Attaching Nanostructures with Self-Assembled Photonic Crystal Patterns

A single-monolayered hexagonal self-assembled photonic crystal (PC) pattern CR-20 fabricated onto polyethylene terephthalate (PET) films by using simple nanosphere lithography (NSL) method has been demonstrated in this research work.The patterned nanostructures acted as a scattering medium to extract the trapped photons from substrate mode of optic

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Molecular Diagnosis of Muscular Dystrophy Patients in Western Indian Population: A Comprehensive Mutation Analysis Using Amplicon Sequencing

Muscular Dystrophies (MDs) are a group of inherited diseases and heterogeneous in nature.To date, 40 different genes have been reported for the occurrence and/or progression of MDs.This study was conducted to demonstrate the application of next-generation sequencing (NGS) in developing a time-saving and cost-effective diagnostic method to detect si

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An easy method for identifying 315 categories of commonly-used Chinese herbal medicines based on automated image recognition using AutoML platforms

The identification of Chinese herbal medicines (CHMs) is directly related to their safety and efficacy.However, the limited number of professionals fails to meet the demand of the vast CHMs market.To make the CHMs identification more convenient and accurate, this study aimed at assessing the feasibility of the automated machine learning (AutoML) te

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