Measures of well-being have proliferated over the past decades. Very little guidance has
been available as to which measures to use in what contexts. This paper provides a series …

Abstract Machine learning, and especially deep learning, is rapidly gaining acceptance and
clinical usage in a wide range of image analysis applications and is regarded as providing …

In this article I argue that theorizing about justice at the level of ideal theory is inherently
flawed and thus has impoverished liberal egalitarianism. Ideal theorists (falsely) assume that …

An economic argument is presented for the incorporation of quantitative modelling of the
uncertainty of grade, tonnage and geology into open-pit design and planning. Two new …

Personalised learning is now broadly endorsed as a key strategy to improve student
curricular engagement and academic attainment, but there is also strong critique of this …

Geographical Information Systems (GIS) are becoming widespread in archaeological
investigations ranging from inventory to management and including some spatial analysis …

Objectives: This study examined directionality between personal (ie, coherence and
confusion) and cultural identity (ie, ethnic and US) as well as their additive effects on …

In this paper we examine how agency is characterised by teachers and students when
personalised learning is enacted in the contemporary open classroom. A case study is …

The pulmonary manifestations in 14 patients with Wegener's granulomatosis are described.
These are combined with 77 other cases previously described in the radiological literature …

Progression of colorectal cancer (CRC) involves spatial and temporal occurrences of
epithelial–mesenchymal transition (EMT), whereby tumour cells acquire a more invasive …