Early and accurate fault detection and diagnosis for modern manufacturing processes can
minimise downtime, increase the safety of plant operations, and reduce costs. Such process …

The detrimental effects of stress on human health are being increasingly recognized. There
is a critical need for the establishment of a biomarker that accurately measures its intensity …

Principal component analysis (PCA) is the most commonly used dimensionality reduction
technique for detecting and diagnosing faults in chemical processes. Although PCA contains …

Principal component analysis (PCA) is a well-known data dimensionality technique that has
been used to detect faults during the operation of industrial processes. Dynamic principal …

Background: Hair cortisol analysis has been shown to be an effective measure of chronic
stress. Cortisol is assumed to incorporate into hair via serum, sebum, and sweat sources; …

Background: The importance of hair cortisol as a long-term retrospective measure of systemic
cortisol exposure is being increasingly recognized, and over recent years, the field of hair …

Neonatal pain-related stress is associated with elevated salivary cortisol levels to age 18
months in children born very preterm, compared to full-term, suggesting early programming …

A pooled database from diverse community samples was used to examine the associations
of hair cortisol concentration (HCC) with self-reported stress and stress-linked mental health …

Hair cortisol concentrations (HCC) are receiving increased attention as a novel biomarker of
psychophysiological responses to chronic stress, with potential relevance for …

Objectives: Stress is a well-known predictor of smoking relapse, and cortisol is a primary
biomarker of stress. The current pilot study examined changes in levels of cortisol in hair within …