Social Participation and Maintaining Recommended Waist Circumference: Prospective Evidence From the English Longitudinal Study of Aging

Objectives: To investigate whether older adults participating in social activities are more likely to maintain or achieve recommended waist circumference (WC) levels. Method: A total of 4,280 older adults who participated in Wave 2 (baseline) and Wave 4 (follow-up) of the English Longitudinal Study of Ageing. WC was measured by a nurse in both study waves. Results: Participation in education, arts, music groups, evening classes, and in charitable associations was associated with maintaining recommended WC only in those men whose WC was in the recommended range at baseline. Participation in social activities was not associated with achieving recommended WC in women or men with initially large waist. Discussion: Participation in cultural and charitable activities may help in maintaining a recommended level of WC in older men with WC originally in the recommended range.

Crowd Control? Depictions of the Many in Anglo-Saxon Literature, with Particular Reference to the Old English Legend of the Seven Sleepers

This article argues for the distinctiveness of the presentation of crowds in the Old English version of the Legend of the Seven Sleepers . In traditional Old English poetry, crowds are mostly conspicuous by their absence, since the social groupings portrayed are typically those ofthe lord's retinue and the fellowship of the hall. In writings deriving from Latin traditions (in Anglo-Latin, Old English prose and strands of Old English poetry) such as historiography andhagiography, crowds are presented in highly conventional terms based on literary models. The crowd scenes in the Legend of the Seven Sleepers , on the other hand, have an immediacy and urgency that seem based on real-life experience of Anglo-Saxon England rather than simply imitative of the work's Latin (ultimately Greek) source or of other literary models. Drawing upon crowd theory and historical studies, the article demonstrates that the crowds in this text are presented in “domesticated” Anglo-Saxon terms and may be seen as reflective of growing urbanization in late Anglo-Saxon England. “Real” crowds are glimpsed elsewhere in Anglo-Saxon literature but in the Legend of the Seven Sleepers they are particularly foregrounded; this text also presents the literature's liveliest picture of town life more generally.

The Family of Love in English Society, 1550-1630

A detailed investigation of an outlawed mystical religious fellowship in early modern England.

Multiple Luminaire Identification in Airborne Images of Airport’s Approach Lighting Using Mathematical Morphology With Variable Length Structuring Element

The increasing demand for fast air transportation around the clock
has increased the number of night flights in civil aviation over
the past few decades. In night aviation, to land an aircraft, a
pilot needs to be able to identify an airport. The approach
lighting system (ALS) at an airport is used to provide
identification and guidance to pilots from a distance. ALS
consists of more than $100$ luminaires which are installed in a
defined pattern following strict guidelines by the International
Civil Aviation Organization (ICAO). ICAO also has strict
regulations for maintaining the performance level of the
luminaires. However, once installed, to date there is no automated
technique by which to monitor the performance of the lighting. We
suggest using images of the lighting pattern captured using a camera
placed inside an aircraft. Based on the information contained
within these images, the performance of the luminaires has to be
evaluated which requires identification of over $100$ luminaires
within the pattern of ALS image. This research proposes analysis
of the pattern using morphology filters which use a variable
length structuring element (VLSE). The dimension of the VLSE changes
continuously within an image and varies for different images.
A novel
technique for automatic determination of the VLSE is proposed and
it allows successful identification of the luminaires from the
image data as verified through the use of simulated and real data.