Residual Dense Network for Image Super-Resolution
A very deep convolutional neural network (CNN) has recently achieved great success for image super-resolution (SR) and offered hierarchical features as well. However, most deep ...
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279 publications
First M87 Event Horizon Telescope Results. I. The Shadow of the Supermassive Black Hole
Abstract When surrounded by a transparent emission region, black holes are expected to reveal a dark shadow caused by gravitational light bending and photon capture at the event...
Plasma Physics via Computer Simulation
PART 1: PRIMER Why attempting to do plasma physics via computer simulation using particles makes good sense Overall view of a one dimensional electrostatic program A one dimensi...
Qualitative research in health care: Assessing quality in qualitative research
This is the first in a series of three articles In the past decade, qualitative methods have become more commonplace in areas such as health services research and health techn...
Oxidative stress, aging, and diseases
Reactive oxygen and nitrogen species (RONS) are produced by several endogenous and exogenous processes, and their negative effects are neutralized by antioxidant defenses. Oxida...
Some Methods for Strengthening the Common χ 2 Tests
Since the x2 tests of goodness of fit and of association in contingency tables are presented in many courses on statistical methods for beginners in the subject, it is not surpr...
Binary Companions of Evolved Stars in APOGEE DR14: Search Method and Catalog of ∼5000 Companions
Abstract Multi-epoch radial velocity measurements of stars can be used to identify stellar, substellar, and planetary-mass companions. Even a small number of observation epochs ...
In situ immune response and mechanisms of cell damage in central nervous system of fatal cases microcephaly by Zika virus
Abstract Zika virus (ZIKV) has recently caused a pandemic disease, and many cases of ZIKV infection in pregnant women resulted in abortion, stillbirth, deaths and congenital def...
Unsupervised Feature Learning via Non-parametric Instance Discrimination
Neural net classifiers trained on data with annotated class labels can also capture apparent visual similarity among categories without being directed to do so. We study whether...