The dawn of the 21st century has brought with it a surge of research related to computer-
guided approaches to catalyst design. In the past two decades, chemoinformatics, the …

Bitcoin has recently attracted considerable attention in the fields of economics, cryptography,
and computer science due to its inherent nature of combining encryption technology and …

Geomagnetic indices are convenient quantities that distill the complicated physics of some
region or aspect of near‐Earth space into a single parameter. Most of the best‐known …

Used to estimate the risk of an estimator or to perform model selection, cross-validation is a
widespread strategy because of its simplicity and its (apparent) universality. Many results …

Forecast Verification: A Practioner's Guide in Atmospheric Science, 2nd Edition provides an
indispensible guide to this area of active research by combining depth of information with a …

To date, several methods exist in the statistical literature for model assessment, which
purport themselves specifically as Bayesian predictive methods. The decision theoretic …

Background Generally, QSAR modelling requires both model selection and validation since
there is no a priori knowledge about the optimal QSAR model. Prediction errors (PE) are …

Variable scaling alters the covariance structure of data, affecting the outcome of multivariate
analysis and calibration. Here we present a new method, variable stability (VAST) scaling …

OBJECTIVE: The aims of the study were to identify the characteristics of the dieters most at
risk of subsequently developing an eating disorder and to evaluate the feasibility of using a …

Fetal heart rate (FHR) monitoring is routinely used in clinical practice to help obstetricians
assess fetal health status during delivery. However, early detection of fetal acidosis that …