Using behavior-analytic implicit tests to assess sexual interests among normal and sex-offender populations

The development of implicit tests for measuring biases and behavioral predispositions is a recent development within psychology. While such tests are usually researched within a social-cognitive paradigm, behavioral researchers have also begun to view these tests as potential tests of conditioning histories, including in the sexual domain. The objective of this paper is to illustrate the utility of a behavioral approach to implicit testing and means by which implicit tests can be built to the standards of behavioral psychologists. Research findings illustrating the short history of implicit testing within the experimental analysis of behavior are reviewed. Relevant parallel and overlapping research findings from the field of social cognition and on the Implicit Association Test are also outlined. New preliminary data obtained with both normal and sex offender populations are described in order to illustrate how behavior-analytically conceived implicit tests may have potential as investigative tools for assessing histories of sexual arousal conditioning and derived stimulus associations. It is concluded that popular implicit tests are likely sensitive to conditioned and derived stimulus associations in the history of the test-taker rather than 'unconscious cognitions', per se

Extension of ThermoML: The IUPAC standard for thermodynamic data communications (IUPAC Recommendations 2011)

ThermoML is an XML-based approach for storage and exchange of experimental, predicted, and critically evaluated thermophysical and thermochemical property data. Extensions to the ThermoML schema for the representation of speciation, complex equilibria, and properties of biomaterials are described. The texts of 14 data files illustrating the new extensions are provided as Supplementary Information together with the complete text of the updated ThermoML schema

ThermoML: New IUPAC standard for thermodynamic data storage and exchange

ThermoML is an XML-based emerging IUPAC standard for storage and exchange of experimental, predicted, and critically-evaluated thermophysical and thermochemical property data. The basic principles, scope, and description of the structural elements of ThermoML will be discussed. ThermoML covers essentially all thermodynamic and transport property data for pure compounds, mixtures, and chemical reactions. Representations of uncertainties in ThermoML conform to the Guide to the Expression of Uncertainty in Measurement (GUM). Representation of fitted equations with ThermoML will also be described. The role of ThermoML in global data communication processes will be discussed with emphasis on a collaborative project with major journals (the Journal of Chemical and Engineering Data, The Journal of Chemical Thermodynamics, Fluid Phase Equilibria, Thermochimica Acta, and the International Journal of Thermophysics) for distribution of property data with benefit to authors, journal publishers, and data users. The project model described is readily applicable to other disciplines and data types

New global communication process in thermodynamics and its impact on quality of published experimental data

Thermodynamic data are a key resource in the search for new relationships between properties of chemical systems that constitutes the basis of the scientific discovery process. In addition, thermodynamic information is critical for development and improvement of all chemical process technologies. Historically, peer-reviewed journals are the major source of this information obtained by experimental measurement or prediction. Technological advances in measurement science have propelled enormous growth in the scale of published thermodynamic data (almost doubling every 10 years). This expansion has created new challenges in data validation at all stages of the data delivery process. Despite the peer-review process, problems in data validation have led, in many instances, to publication of data that are grossly erroneous and, at times, inconsistent with the fundamental laws of nature. A new global data communication process in thermodynamics and its impact in addressing these challenges, as well as in streamlining the delivery of the thermodynamic data from “data producers” to “data users” will be discussed