A numerical study of two interacting coronal mass ejections

The interaction in the solar wind between two coronal mass ejections (CMEs) is investigated using numerical simulations.We show that the nature of the interaction depends on whether the CME magnetic structures interact, but in all cases the result is an equilisation of the speed of the two CMEs.In the absence of magnetic interaction, the forward sh

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Training to reduce LGBTQ-related bias among medical, nursing, and dental students and providers: a systematic review

Abstract Background Lesbian, gay, bisexual, transgender and questioning (LGBTQ) individuals experience higher rates of health disparities.These disparities may be driven, in part, by biases of medical providers encountered in health care settings.Little is known about how medical, nursing, or dental students are trained to identify and reduce the e

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Bacteria in Cancer Therapy: Renaissance of an Old Concept

The rising incidence of cancer cases worldwide generates an urgent need of novel treatment options.Applying bacteria may represent a valuable therapeutic variant that is intensively investigated nowadays.Interestingly, the idea to apply bacteria wittingly or unwittingly dates back to ancient times and was revived in the 19th century mainly by the p

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Examination of alternative eGFR definitions on the performance of deep learning models for detection of chronic kidney disease from fundus photographs.

Deep learning (DL) models have shown promise in detecting chronic kidney disease (CKD) from fundus photographs.However, previous studies have utilized a serum creatinine-only estimated glomerular rate (eGFR) equation to measure kidney function despite the development of more up-to-date methods.In this study, we developed two sets of DL models using

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