Publications

Evolving to a New Dominant Logic for Marketing

Marketing inherited a model of exchange from economics, which had a dominant logic based on the exchange of “goods,” which usually are manufactured output. The dominant logic fo...

Convergence of Probability Measures

influenced particles characteristics in Northern Territory Australia based on airborne measurements. Atmospheric Research, 96(1). pp. 103-109.

PhysioBank, PhysioToolkit, and PhysioNet

Abstract —The newly inaugurated Research Resource for Complex Physiologic Signals, which was created under the auspices of the National Center for Research Resources of the Nati...

The Timed “Up & Go”: A Test of Basic Functional Mobility for Frail Elderly Persons

This study evaluated a modified, timed version of the “Get‐Up and Go” Test (Mathias et al, 1986) in 60 patients referred to a Geriatric Day Hospital (mean age 79.5 years). The p...

2013 ESH/ESC Guidelines for the management of arterial hypertension

The ESH/ESC Guidelines represent the views of the ESH and ESC and were arrived at after careful consideration of the available evidence at the time they were written.Health prof...

Development as Freedom

GENERAL CIRCULATION EXPERIMENTS WITH THE PRIMITIVE EQUATIONS

An extended period numerical integration of a baroclinic primitive equation model has been made for the simulation and the study of the dynamics of the atmosphere's general circ...

<i>Ab initio</i> effective core potentials for molecular calculations. Potentials for the transition metal atoms Sc to Hg

Ab initio effective core potentials (ECP’s) have been generated to replace the Coulomb, exchange, and core-orthogonality effects of the chemically inert core electron in the tra...

Gene Expression Omnibus: NCBI gene expression and hybridization array data repository

The Gene Expression Omnibus (GEO) project was initiated in response to the growing demand for a public repository for high-throughput gene expression data. GEO provides a flexib...

"Why Should I Trust You?"

Despite widespread adoption, machine learning models remain mostly black boxes. Understanding the reasons behind predictions is, however, quite important in assessing trust, whi...

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...

The measurement of experienced burnout

Abstract A scale designed to assess various aspects of the burnout syndrome was administered to a wide range of human services professionals. Three subscales emerged from the da...