An Evolutionary Theory of Economic Change.
Journal Article An Evolutionary Theory of Economic Change Get access An Evolutionary Theory of Economic Change. By Richard R. Nelson and Sidney G. Winter. (Cambridge, Massachuse...
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Journal Article An Evolutionary Theory of Economic Change Get access An Evolutionary Theory of Economic Change. By Richard R. Nelson and Sidney G. Winter. (Cambridge, Massachuse...
Abstract Motivation: A large choice of tools exists for many standard tasks in the analysis of high-throughput sequencing (HTS) data. However, once a project deviates from stand...
Abstract The identification of genetically homogeneous groups of individuals is a long standing issue in population genetics. A recent Bayesian algorithm implemented in the soft...
ABSTRACT mothur aims to be a comprehensive software package that allows users to use a single piece of software to analyze community sequence data. It builds upon previous tools...
Abstract Motivation: Biological sequence data is accumulating rapidly, motivating the development of improved high-throughput methods for sequence classification. Results: UBLAS...
In this single-center case series of 138 hospitalized patients with confirmed NCIP in Wuhan, China, presumed hospital-related transmission of 2019-nCoV was suspected in 41% of p...
In this work we address the task of semantic image segmentation with Deep Learning and make three main contributions that are experimentally shown to have substantial practical ...
Abstract Title. The qualitative content analysis process Aim. This paper is a description of inductive and deductive content analysis. Background. Content analysis is a method t...
Multiresolution representations are effective for analyzing the information content of images. The properties of the operator which approximates a signal at a given resolution w...
Abstract Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths that will occur in the United States and compiles the most recent data on ca...
A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective...