VSEARCH: a versatile open source tool for metagenomics
Background VSEARCH is an open source and free of charge multithreaded 64-bit tool for processing and preparing metagenomics, genomics and population genomics nucleotide sequence...
Publications
Explore 254 academic publications
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254 publications
Matrix Analysis
In this book the authors present classical and recent results for matrix analysis that have proved to be important to applied mathematics. Facts about matrices, beyond those fou...
Tensor Decompositions and Applications
This survey provides an overview of higher-order tensor decompositions, their applications, and available software. A tensor is a multidimensional or N-way array. Decompositions...
Philosophy in the flesh: the embodied mind and its challenge to Western thought
* Introduction: Who Are We? How The Embodied Mind Challenges The Western Philosophical Tradition * The Cognitive Unconscious * The Embodied Mind * Primary Metaphor and Subjectiv...
The Economics of Climate Change: The Stern Review
There is now clear scientific evidence that emissions from economic activity, particularly the burning of fossil fuels for energy, are causing changes to the Earth´s climate. A ...
Collinearity: a review of methods to deal with it and a simulation study evaluating their performance
Collinearity refers to the non independence of predictor variables, usually in a regression‐type analysis. It is a common feature of any descriptive ecological data set and can ...
The Fluid Mosaic Model of the Structure of Cell Membranes
A fluid mosaic model is presented for the gross organization and structure of the proteins and lipids of biological membranes. The model is consistent with the restrictions impo...
The Theory of Matrices
Volume 2: XI. Complex symmetric, skew-symmetric, and orthogonal matrices: 1. Some formulas for complex orthogonal and unitary matrices 2. Polar decomposition of a complex matrix...
Exploring the Limits of Transfer Learning with a Unified Text-to-Text\n Transformer
Transfer learning, where a model is first pre-trained on a data-rich task\nbefore being fine-tuned on a downstream task, has emerged as a powerful\ntechnique in natural language...