<i>Gaia</i> Data Release 2
Context. We present the second Gaia data release, Gaia DR2, consisting of astrometry, photometry, radial velocities, and information on astrophysical parameters and variability,...
Publications
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838 publications
2019 ESC/EAS Guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk
<p>Prepared by The Task Force for the management of dyslipidaemias of the European Society of Cardiology (ESC) and European Atherosclerosis Society (EAS)</p> \n<p...
Metodologi Penelitian Kualitatif
Penelitian merupakan suatu proses penyelidikan yang dilakukan secara aktif, tekun, dan sistematis yang bertujuan untuk menemukan, menginterpretasikan, dan menemukan fakta-fakta ...
Path Aggregation Network for Instance Segmentation
The way that information propagates in neural networks is of great importance. In this paper, we propose Path Aggregation Network (PANet) aiming at boosting information flow in ...
Organizational Learning: The Contributing Processes and the Literatures
This paper differs from previous examinations of organizational learning in that it is broader in scope and more evaluative of the literatures. Four constructs related to organi...
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...
Cancer statistics, 2024
Abstract Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths in the United States and compiles the most recent data on population‐based c...
Genome sequencing in microfabricated high-density picolitre reactors
The proliferation of large-scale DNA-sequencing projects in recent years has driven a search for alternative methods to reduce time and cost. Here we describe a scalable, highly...
Remdesivir for the Treatment of Covid-19 — Final Report
Our data show that remdesivir was superior to placebo in shortening the time to recovery in adults who were hospitalized with Covid-19 and had evidence of lower respiratory trac...
Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
One of the central problems in machine learning and pattern recognition is to develop appropriate representations for complex data. We consider the problem of constructing a rep...