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 ...
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1,182 publications
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...
A well-behaved electrostatic potential based method using charge restraints for deriving atomic charges: the RESP model
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTA well-behaved electrostatic potential based method using charge restraints for deriving atomic charges: the RESP modelChristopher I....
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...
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...
Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods
Estimates of the worldwide incidence and mortality from 36 cancers and for all cancers combined for the year 2018 are now available in the GLOBOCAN 2018 database, compiled and d...
Finite Mixture Models
The important role of finite mixture models in the statistical analysis of data is underscored by the ever-increasing rate at which articles on mixture applications appear in th...
Neurologic Manifestations of Hospitalized Patients With Coronavirus Disease 2019 in Wuhan, China
Patients with COVID-19 commonly have neurologic manifestations. During the epidemic period of COVID-19, when seeing patients with neurologic manifestations, clinicians should su...
Molecular signatures database (MSigDB) 3.0
Abstract Motivation: Well-annotated gene sets representing the universe of the biological processes are critical for meaningful and insightful interpretation of large-scale geno...