Classification is a data mining (machine learning) technique used to predict group
membership for data instances. There are several classification techniques that can be used …

Although first described as early as 1898 and long considered a vestigial organelle of little
functional importance, the primary cilium has become one of the hottest research topics in …

Background The rapid spread of COVID-19 renewed the focus on how health systems
across the globe are financed, especially during public health emergencies. Development …

Summary Background The SARS-CoV-2 delta (B. 1.617. 2) variant was first detected in
England in March, 2021. It has since rapidly become the predominant lineage, owing to high …

Background Ending the global tobacco epidemic is a defining challenge in global health.
Timely and comprehensive estimates of the prevalence of smoking tobacco use and …

Global dispersal and increasing frequency of the SARS-CoV-2 spike protein variant D614G
are suggestive of a selective advantage but may also be due to a random founder effect. We …

We report severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike ΔH69/V70
in multiple independent lineages, often occurring after acquisition of receptor binding motif …

As the distribution of the video over the Internet becomes main-stream and its consumption
moves from the computer to the TV screen, user expectation for high quality is constantly …

We study the problem of detecting objects in still, gray-scale images. Our primary focus is the
development of a learning-based approach to the problem that makes use of a sparse, part …

Summary Background The SARS-CoV-2 variant B. 1.1. 7 was first identified in December,
2020, in England. We aimed to investigate whether increases in the proportion of infections …