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A Second Generation Force Field for the Simulation of Proteins, Nucleic Acids, and Organic Molecules
Abstract: We present the derivation of a new molecular mechanical force field for simulating the structures, conformational energies, and interaction energies of proteins, nucle...
The PageRank Citation Ranking : Bringing Order to the Web
The importance of a Web page is an inherently subjective matter, which depends on the readers interests, knowledge and attitudes. But there is still much that can be said object...
SWISS-MODEL: homology modelling of protein structures and complexes
Homology modelling has matured into an important technique in structural biology, significantly contributing to narrowing the gap between known protein sequences and experimenta...
An Introduction to Fluid Dynamics
First published in 1967, Professor Batchelor's classic text on fluid dynamics is still one of the foremost texts in the subject. The careful presentation of the underlying theor...
Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments
The problem of identifying differentially expressed genes in designed microarray experiments is considered. Lonnstedt and Speed (2002) derived an expression for the posterior od...
Researching Lived Experience: Human Science for an Action Sensitive Pedagogy
Preface Preface to the 2nd Edition 1. Human Science Introduction Why Do Human Science Research? What Is a Hermeneutic Phenomenological Human Science? What Does it Mean to Be Rat...
Photocatalysis on TiO2 Surfaces: Principles, Mechanisms, and Selected Results
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTPhotocatalysis on TiO2 Surfaces: Principles, Mechanisms, and Selected ResultsAmy L. Linsebigler, Guangquan Lu, and John T. Yates Jr.C...
The weirdest people in the world?
Abstract Behavioral scientists routinely publish broad claims about human psychology and behavior in the world's top journals based on samples drawn entirely from Western, Educa...
Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications
The purpose of this study was to classify breast carcinomas based on variations in gene expression patterns derived from cDNA microarrays and to correlate tumor characteristics ...
Non-local Neural Networks
Both convolutional and recurrent operations are building blocks that process one local neighborhood at a time. In this paper, we present non-local operations as a generic family...