ASSESSING THE CONTRIBUTION OF PRESCRIBING IN PRIMARY CARE BY NURSES AND PROFESSIONALS ALLIED TO MEDICINE: A SYSTEMATIC REVIEW OF LITERATURE

Assessing the contribution of prescribing in primary care by nurses and professionals allied to medicine: a systematic review of literature

Abstract Background Safe and timely access to effective and appropriate medication through primary care settings is a major concern for all countries addressing real floom both acute and chronic disease burdens.Legislation for nurses and other professionals allied to medicine to prescribe exists in a minority of countries, with more considering int

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Genomic Analysis and In Vitro Investigation of the Hop Resistance Phenotype of Two Novel Loigolactobacillus backii Strains, Isolated from Spoiled Beer

Loigolactobacillus backii is an important beer-spoiling species, exhibiting high hop tolerance.Here, we present the annotated whole genome sequence of two recently isolated strains, Lg.backii KKP 3565 and KKP 3566.Firstly, to study the genetic basis of the persistence of the two isolates in beer, a comprehensive bioinformatic analysis ensued.Their

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Xylanase enhances gut microbiota-derived butyrate to exert immune-protective effects in a histone deacetylase-dependent manner

Abstract Background Commensal bacteria in the intestine release enzymes to degrade and ferment dietary components, producing beneficial metabolites.However, the regulatory effects of microbial-derived enzymes on the intestinal microbiota composition and the influence on host health remain elusive.Xylanase can degrade xylan into oligosaccharides, sh

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Facial Firework Injury: A Case Series

Fireworks are used to celebrate a variety of religious, patriotic, and cultural holidays and events around the world.Fireworks are common in the United States, with the most popular holiday for their use being national Independence Day, also known as July Fourth.The use of fireworks within the context of celebrations and holidays presents the ideal

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LSRR-LA: An Anisotropy-Tolerant Localization Algorithm Based on Least Square Regularized Regression for Multi-Hop Wireless Sensor Networks

As is well known, multi-hop range-free localization algorithms demonstrate pretty good performance in isotropic networks in which sensor nodes distribute evenly and densely.However, these algorithms are easily affected by network topology, causing a significant decrease in positioning accuracy.To improve the localization performance in anisotropic

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