C Dupré, The Age of Dignity (Hart 2015)

Bob Dylan famously searched high and low for it and left us wondering ‘what it’s gonna take’ to find it. These days, the elusive dignity – and her equally, if not more, elusive cousin human dignity – has captured the imagination of not just the poet and philosopher, but also, in light of its increasing prominence in an array of legal contexts, the legal scholar. Catherine Dupré’s The Age of Dignity comes at a high point in (human) dignity scholarship, with the publication of numerous texts in the English language emerging on the subject, and with interest in it looking unlikely to dissipate any time soon. In this review, I consider (human) dignity’s promise and pitfalls as it transpires in Dupré’s wide-ranging and ambitious monograph.

1916-2016. The 1916 Easter Rising

Commissioned by An Post to commemorate the centenary of the Easter Rising, this illustrated book draws on eye-witness accounts to assess this key turning-point in modern Irish history. Leading historian Fearghal McGarry explores the impact of events at the General Post Office, as well as setting the rebellion in its wider historical context. His account concludes with an assessment of the Rising's commemoration since 1916 and a commentary on the definitive stamps issued by An Post to mark the formative event in the emergence of an independent Irish nation.

Automated retinal image quality assessment on the UK Biobank dataset for epidemiological studies

Morphological changes in the retinal vascular network are associated with future risk of many systemic and vascular diseases. However, uncertainty over the presence and nature of some of these associations exists. Analysis of data from large population based studies will help to resolve these uncertainties. The QUARTZ (QUantitative Analysis of Retinal vessel Topology and siZe) retinal image analysis system allows automated processing of large numbers of retinal images. However, an image quality assessment module is needed to achieve full automation. In this paper, we propose such an algorithm, which uses the segmented vessel map to determine the suitability of retinal images for use in the creation of vessel morphometric data suitable for epidemiological studies. This includes an effective 3-dimensional feature set and support vector machine classification. A random subset of 800 retinal images from UK Biobank (a large prospective study of 500,000 middle aged adults; where 68,151 underwent retinal imaging) was used to examine the performance of the image quality algorithm. The algorithm achieved a sensitivity of 95.33% and a specificity of 91.13% for the detection of inadequate images. The strong performance of this image quality algorithm will make rapid automated analysis of vascular morphometry feasible on the entire UK Biobank dataset (and other large retinal datasets), with minimal operator involvement, and at low cost.