Publications
Explore 144 academic publications
2018 ESC/ESH Guidelines for the management of arterial hypertension
The Task Force for the management of arterial hypertension of the European Society of Cardiology (ESC) and the European Society of Hypertension (ESH)
The Sloan Digital Sky Survey: Technical Summary
The Sloan Digital Sky Survey (SDSS) will provide the data to support detailed investigations of the distribution of luminous and nonluminous matter in the universe: a photometri...
The biology <b>,</b> function <b>,</b> and biomedical applications of exosomes
Clinical uses of cellular communication Exosomes are a type of extracellular vesicle that contain constituents (protein, DNA, and RNA) of the cells that secrete them. They are t...
IDF Diabetes Atlas: Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045
To provide global, regional, and country-level estimates of diabetes prevalence and health expenditures for 2021 and projections for 2045. A total of 219 data sources meeting pr...
Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR
Background The ongoing outbreak of the recently emerged novel coronavirus (2019-nCoV) poses a challenge for public health laboratories as virus isolates are unavailable while th...
Recombinant genomes which express chloramphenicol acetyltransferase in mammalian cells.
We constructed a series of recombinant genomes which directed expression of the enzyme chloramphenicol acetyltransferase (CAT) in mammalian cells. The prototype recombinant in t...
The Quarterly Journal of Economics
I. Formulation of the question. A brief historical survey, 381. — II. Recent discussion in Germany: Lederer, Loewe, Carrel, 386. — III. In what sense the equilibrium theory is v...
UniProt: the universal protein knowledgebase in 2021
Abstract The aim of the UniProt Knowledgebase is to provide users with a comprehensive, high-quality and freely accessible set of protein sequences annotated with functional inf...
Attention Is All You Need
The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder configuration. The best performing models also co...