methodological issues of biosurveillance detection algorithms, with a focus on the is-sues related to developing, evaluating, and implementing such algorithms. The PowerPoint slides from the complete talk can be accessed at

In 590 for-profit and nonprofit firms from the National Organizations Survey, we found positive associations between human resource management (HRM) practices, such as training and staffing selectivity, and perceptual firm performance measures. Results also suggest methodological issues

AbstractÐTwo of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure to evaluate systems. The Face Recognition Technology (FERET) program has addressed both issues through the FERET database of facial

properties and architectural interactions that are important to understand them well. The properties we study include the computational load balance, communication to computation ratio and traffic needs, important working set sizes, and issues related to spatial locality, as well as how these properties

of this paper is on the analytical and methodological issues arising from various system concepts. There are three issues that stand out as problematic. First, what is the appropriate level of analysis for the purpose at hand? It matters, for example, whether we are interested in a certain technology, product

This paper is a rejoinder to the commentaries on Some Methodological Issues in Biosurveillance. Published in 2011 by John

Experimentalists frequently claim that human subjects in the laboratory violate game-theoretic predictions. It is here argued that this claim is usually premature. The paper elaborates on this theme by way of raising some conceptual and methodological issues in connection with the very definition

Economic appraisal in health: some conceptual and methodological issues

The emergence of new technologies to study brain function in vivo has resulted in an explosion of interest in cognitive neuroscience within the last ten years. While most research in functional neuroimaging has been geared toward adult normal volunteers, the development of functional magnetic resonance imaging (fMRI) has made it possible to study neural development in normal children, as well as those with developmental dis-orders. This technology provides an unprecedented opportunity to expand our knowledge of brain function throughout childhood. A variety of tech-nological, experimental, and practical difficulties are amplified when imag-ing children. This paper reviews some of the more challenging theoretical and practical concerns and provides suggestions for their management.

and established history of empirical experimental research. Many of the issues stress the difficulties regarding peer validation and experimental methodology. It is clear that peer validation is difficult due to wide variations in experimental methodology and lack of common experimental models. We suggest