Hierarchical quantitative structure-activity relationships (H-QSAR) have been developed as a new approach in constructing models for estimating physicochemical, biomedicinal, and toxicological properties of interest. This approach uses increasingly more complex molecular descriptors in a graduated approach to model building. In this study, statistical and neural network methods have been applie...

An accurate and generally applicable method for estimating aqueous solubilities for a diverse set of 1297 organic compounds based on multilinear regression and artificial neural network modeling was developed. Molecular connectivity, shape, and atom-type electrotopological state (E-state) indices were used as structural parameters. The data set was divided into a training set of 884 compounds a...

Coleman (1971) suggested two indices of voting power, power to prevent an action and power to initiate an action. This paper rigorously demonstrates relationship between the two indices and shows that they satisfy several attractive properties. It is also shown that an attainable upper bound of the power to prevent an action can as well be regarded as a suitable voting power index.

OBJECTIVES This study addressed the relationship between spontaneous baroreflex sensitivity and carotid mechanical properties in a clinical setting. METHODS In 191 normal volunteers (age range 20-60 years, mean 44 ± 13), spontaneous indices of baroreflex regulation were obtained noninvasively in the time (baroreflex slope, BRS) and frequency domains (α index and systolic arterial pressure-RR ...

Serial assessments of neurocognitive functioning in athletes with concussion are commonly used for return to play decisions. This study provides reliable change indices (RCIs) for computerized tests from 40 NCAA Division I collegiate athletes that suffered a sports-related concussion. The normative data that resulted from the RCIs and subsequent analyses of differences between improved and not ...

The validation of the results obtained by clustering algorithms is a fundamental part of the clustering process. The most used approaches for cluster validation are based on internal cluster validity indices. Although many indices have been proposed, there is no recent extensive comparative study of their performance. In this paper we show the results of an experimental work that compares 30 cl...

In the computational analysis of gene expression time series, the main aspect in finding co-expressed genes is the proximity (similarity or dissimilarity) index used in the clustering method. In this context, the proximity indices should find genes that have similar patterns of expression change through time. There are a number of proximity indices used for such a task. However, the majority of...