Publications

Assembly of long, error-prone reads using repeat graphs

Food and Agriculture Organization of the United Nations

Prevalence of Autism Spectrum Disorder Among Children Aged 8 Years — Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2014

Description of System: The Autism and Developmental Disabilities Monitoring (ADDM) Network is an active surveillance program that provides estimates of the prevalence of ASD amo...

Heart Disease and Stroke Statistics—2023 Update: A Report From the American Heart Association

Background: The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stro...

Heart Disease and Stroke Statistics—2021 Update

Background: The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stro...

Image Super-Resolution Via Sparse Representation

This paper presents a new approach to single-image super-resolution, based on sparse signal representation. Research on image statistics suggests that image patches can be well-...

Incidence of thrombotic complications in critically ill ICU patients with COVID-19

Impact of COVID-19 pandemic on mental health in the general population: A systematic review

Some Elements of a Sociology of Translation: Domestication of the Scallops and the Fishermen of St Brieuc Bay

This paper outlines a new approach to the study of power, that of the sociology of translation. Starting from three principles, those of agnosticism (impartiality between actors...

Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China

Review of Particle Physics

Abstract The Review summarizes much of particle physics and cosmology. Using data from previous editions, plus 3,324 new measurements from 878 papers, we list, evaluate, and ave...

The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

Abstract Background To evaluate binary classifications and their confusion matrices, scientific researchers can employ several statistical rates, accordingly to the goal of the ...