What makes an article a must read in medical education?
BMC Medical EducationBackground The dissemination of published scholarship is intended to bring new evidence and ideas to a wide audience. However, the increasing number of articles makes it challenging to determine where to focus one’s attention.
Amin Nakhostin-Ansari +9 more
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A commentary of the article “Prevalence of Lebanese stroke survivors: A comparative pilot study” by N. Lahoud, P. Salameh, N. Saleh and H. Hosseini, published in the Journal of Epidemiology and Global Health on October 24th 2015 [PDF]
, 2016 Josué A. Lily Vidal
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Reviewing a journal article with clarity and politeness: key language tips for non-native English-speaking reviewers [PDF]
, 2020 Yunhee Whang
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Retractions in rheumatology: trends, causes, and implications for research integrity
Arthritis Care &Research, Accepted Article.Objective We aimed to describe the trends and main reasons for study retraction in rheumatology literature. Methods We reviewed the Retraction Watch database to identify retracted articles in rheumatology. We recorded the main study characteristics, authors’ countries, reasons for retraction, time from publication to retraction, and trends over time ...
Anna Maria Vettori, Michele Iudici
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Advanced Engineering Materials, EarlyView.This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
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Diabetes and retinopathy11The following letter addresses an article that appeared in the January 2000 issue of the Journal: Bresnick GH, Mukamel DB, Dickinson JC, Cole DR. A screening approach to the surveillance of patients with diabetes for the presence of vision-threatening retinopathy. (Ophthalmology 2000;107:19–24) [PDF]
, 2000 Alexander R. Gaudio
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Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Opportunities of Semiconducting Oxide Nanostructures as Advanced Luminescent Materials in Photonics
Advanced Materials, EarlyView.The review discusses the challenges of wide and ultrawide bandgap semiconducting oxides as a suitable material platform for photonics. They offer great versatility in terms of tuning microstructure, native defects, doping, anisotropy, and micro‐ and nano‐structuring. The review focuses on their light emission, light‐confinement in optical cavities, and
Ana Cremades +7 more
wiley +1 more source