introduction: in modern societies, shift work is an essential component of daily life. since the beginning of research in shift work, researchers have been engaged in the identification of factors predicting adjustment and adaptation to shift work. the concept of adaptation and tolerance refers mainly to the biological response in terms of circadian rhythms and performance efficiency as well as...

PURPOSE There is a clear need to improve risk stratification and to identify novel therapeutic targets in aggressive prostate cancer. The goal of this study was to investigate genes with outlier expression with prognostic association in high-risk prostate cancer patients as potential biomarkers and drug targets. EXPERIMENTAL DESIGN We interrogated microarray gene expression data from prostate...

introduction: in the developed world, particularly in developing countries, livestock is the most important agricultural sub-sector.livestock of primary and secondary industries has an especial place in the national economybecause of their greatvalue of products, creating job opportunities, providing health products for consumers, increasing export income of the economy throughaccessing global ...

Mean embeddings provide an extremely flexible and powerful tool in machine learning and statistics to represent probability distributions and define a semi-metric (MMD, maximum mean discrepancy; also called N-distance or energy distance), with numerous successful applications. The representation is constructed as the expectation of the feature map defined by a kernel. As a mean, its classical e...

This pilot study explores a new approach to automatic detection of figurative language. Our working hypothesis is that the problem of automatic identification of idioms (and metaphors, to some extent) can be reduced to the problem of identifying an outlier in a dataset. By an outlier we mean an observation which appears to be inconsistent with the remainder of a set of data.

Process shift is an important input parameter in the economic design of control charts. Earlier x control chart designs considered constant shifts to occur in the mean of the process for a given assignable cause. This assumption has been criticized by many researchers since it may not be realistic to produce a constant shift whenever an assignable cause occurs. To overcome this difficulty...

Univariate outlier analysis has become a popular approach for improving quality. When a customer return occurs, multivariate outlier analysis extends the univariate analysis to develop a test model for preventing similar returns from happening. In this context, this work investigates the following question: How simple multivariate outlier modeling can be? The interest for answering this questio...