Surrogate end points in clinical research pose real danger. A surrogate end point is an outcome measure, commonly a laboratory test, that substitutes for a clinical event of true importance. Resistance to activated protein C, for example, has been used as a surrogate for venous thrombosis in women using oral contraceptives. Other examples of inappropriate surrogate end points in contraception i...

To increase their chances of survival and reproduction, animals must detect changes in food quality and then decide if, and how quickly, to adjust their behavior. How quickly an animal responds to change will depend on the information available (cognitive, sensory, or physiological) and how it weights those types of information. Surrogate measures of meal size suggest that sensory information i...

This report highlights some of the historical evolution of our research involving the characteristics that are essential for effective human-surrogate interactions. In this report, a consolidated glossary of terms related to human-surrogate interaction is described, following which an attempt at defining a consolidated space of surrogate characteristics is made. The rationale behind the space d...

It is commonly believed that the correlations between stock returns increase in high volatility periods. We investigate how much of these correlations can be explained within a simple non-Gaussian one-factor description with time independent correlations. Using surrogate data with the true market return as the dominant factor, we show that most of these correlations, measured by a variety of di...

Axial slits remarkably improve performance of the solid-rotor induction motors due to reduction of the rotor surface impedance. Those also change the end effect, but this is usually ignored in analysis, as it would require taking account for a realistic current density distribution. This work employs a simplified local 3-d finite element analysis to create a surrogate model of this end effect. ...

Selective transcriptional profiling is an attractive approach for alleviating the high cost of genetical genomics research as it requires only a subset of individuals in the QTL mapping study for microarray experiments. Current statistical methods for this approach are based on parametric models that might not be appropriate for all experiments. To provide a nonparametric method for analyzing d...

We introduce a method for transliteration generation that can produce transliterations in every language. Where previous results are only as multilingual as Wikipedia, we show how to use training data from Wikipedia as surrogate training for any language. Thus, the problem becomes one of ranking Wikipedia languages in order of suitability with respect to a target language. We introduce several ...

Change of expected value under equivalent probability measures and use of surrogate assets Maciej Klimek Change of expected value under equivalent probability measures and use of surrogate assets We prove an elementary theorem showing to what extent the expected value of a random variable driven by two independent random variables changes as a result of switching to a new equivalent probability...

In the present study a novel method is introduced to detect meaningful regions of a gray-level noisy images of binary structures. The method consists in generating surrogate data for an analyzed image. A surrogate image has the same (or almost the same) power spectrum and histogram of gray-level values as the original one but is random otherwise. Then minmax paths are generated in the original ...

Technology and societal changes are moving the global market rapidly towards a new economic order rooted in e-commerce. Hence, assessing and monitoring the e-readiness of a nation has become an increasing challenge. This paper proposes a framework to evaluate the e-readiness of a nation based on eight factors: digital infrastructure, macro economy, ability to invest, knowledgeable citizens, com...