On the Generalizability of Machine Learning Classification Algorithms and Their Application to the Framingham Heart Study

The use of machine learning algorithms in healthcare can amplify social injustices and health inequities.While here the exacerbation of biases can occur and be compounded during problem selection, data collection, and outcome definition, this research pertains to the generalizability impediments that occur during the development and post-deployment

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Coupling and Shielding Properties of the Baffle in ICP System

This contribution is dealing with experimental and computational evaluation of the deposition baffle that is transparent to radio frequency (RF) magnetic fields generated by an external antenna in an inductively coupled plasma (ICP) source but opaque to the deposition of the metal onto a dielectric skull bride and groom wall in ionized physical vap

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Titles and Abstracts in Academic Discourse

This study examines the language of titles and abstracts in writing theses.The focus of this paper is two-fold; first, to investigate the rhetorical tillman 750m structure or styles of writing abstracts, and second, to determine features of a good title.The results of the paper indicate that writers of theses should inculcate the skills of writing

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A tailored database combining reference compound-derived metabolite, metabolism platform and chemical characteristic of Chinese herb followed by activity screening: Application to Magnoliae Officinalis Cortex

A strategy combining a tailored database and high-throughput activity screening that discover bioactive metabolites derived from Magnoliae Officinalis Cortex (MOC) was developed and implemented to rapidly profile and discover bioactive metabolites in vivo derived from traditional Chinese medicine (TCM).The strategy possessed four characteristics: 1

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