Publications

UCHIME improves sensitivity and speed of chimera detection

Abstract Motivation: Chimeric DNA sequences often form during polymerase chain reaction amplification, especially when sequencing single regions (e.g. 16S rRNA or fungal Interna...

Self-efficacy mechanism in human agency.

This article addresses the centrality of the self-efficacy mechanism in human agency. Self-per- cepts of efficacy influence thought patterns, actions, and emotional arousal. In ...

Framing: Toward Clarification of a Fractured Paradigm

Journal Article Framing: Toward Clarification of a Fractured Paradigm Get access Robert M. Entman Robert M. Entman 1Robert M. Entman is an associate professor of communication s...

Neural Machine Translation by Jointly Learning to Align and Translate

Neural machine translation is a recently proposed approach to machine translation. Unlike the traditional statistical machine translation, the neural machine translation aims at...

Evolutionary trees from DNA sequences: A maximum likelihood approach

Numerical optimization

This third edition of Braun and Murdoch's bestselling textbook now includes discussion of the use and design principles of the tidyverse packages in R, including expanded covera...

IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era

Abstract IQ-TREE (http://www.iqtree.org, last accessed February 6, 2020) is a user-friendly and widely used software package for phylogenetic inference using maximum likelihood....

Markets and Hierarchies: Analysis and Antitrust Implications.

Journal Article Markets and Hierarchies: Analysis and Antitrust Implications Get access Markets and Hierarchies: Analysis and Antitrust Implications. By O. E. WILLIAMSON. (Londo...

Limited-dependent and qualitative variables in econometrics

This book presents the econometric analysis of single-equation and simultaneous-equation models in which the jointly dependent variables can be continuous, categorical, or trunc...

Sequence to Sequence Learning with Neural Networks

Deep Neural Networks (DNNs) are powerful models that have achieved excellent performance on difficult learning tasks. Although DNNs work well whenever large labeled training set...

BEAST: Bayesian evolutionary analysis by sampling trees

BEAST is a powerful and flexible evolutionary analysis package for molecular sequence variation. It also provides a resource for the further development of new models and statis...

Knowledge of the Firm, Combinative Capabilities, and the Replication of Technology

How should we understand why firms exist? A prevailing view has been that they serve to keep in check the transaction costs arising from the self-interested motivations of indiv...