Dietary patterns of households in Scotland : Differences by level of deprivation and associations with dietary goals

Funding This work was supported by the Scottish Government’s Rural and Environment Science and Analytical Services (RESAS) Division.Peer reviewedPostprin

Quantifying Robotic Swarm Coverage

In the field of swarm robotics, the design and implementation of spatial density control laws has received much attention, with less emphasis being placed on performance evaluation. This work fills that gap by introducing an error metric that provides a quantitative measure of coverage for use with any control scheme. The proposed error metric is continuously sensitive to changes in the swarm distribution, unlike commonly used discretization methods. We analyze the theoretical and computational properties of the error metric and propose two benchmarks to which error metric values can be compared. The first uses the realizable extrema of the error metric to compute the relative error of an observed swarm distribution. We also show that the error metric extrema can be used to help choose the swarm size and effective radius of each robot required to achieve a desired level of coverage. The second benchmark compares the observed distribution of error metric values to the probability density function of the error metric when robot positions are randomly sampled from the target distribution. We demonstrate the utility of this benchmark in assessing the performance of stochastic control algorithms. We prove that the error metric obeys a central limit theorem, develop a streamlined method for performing computations, and place the standard statistical tests used here on a firm theoretical footing. We provide rigorous theoretical development, computational methodologies, numerical examples, and MATLAB code for both benchmarks.Comment: To appear in Springer series Lecture Notes in Electrical Engineering (LNEE). This book contribution is an extension of our ICINCO 2018 conference paper arXiv:1806.02488. 27 pages, 8 figures, 2 table

What features of a nutrition resource are important to adolescents of a low socioeconomic status?

AbstractObjective:To identify the key features of a nutrition resource that are important to adolescents of a low socioeconomic status (SES).Design:Structured interviews were conducted to explore participants’ preferences relating to the features of a nutrition resource. Thematic framework analysis was used to determine key themes, subthemes and concepts from the data.Setting:Streetsport activity sessions, north-east of Scotland.Participants:Eighteen adolescents aged 12–17 years from a low socioeconomic background.Results:The overarching themes identified were barriers and facilitators to engagement with a nutrition resource. Adolescents expressed a preference for an app, and this was mainly attributed to convenience and low cost. There was also an emphasis on the integral role social media has in their lives. Aesthetics was a facilitator for both male and female participants, with a particular focus on weight loss. Behaviour change support, including reminders, access to simple recipes and adopting a ‘small change approach’, were identified as possible facilitators, whereas cost, environmental influences, and existing eating habits were identified as possible barriers to engaging with a nutrition resource.Conclusions:A number of subthemes, including aesthetics, cost and convenience, which have previously been reported in adolescents with a higher SES, were prominent in our research. The present study contributes to insights relating to behaviour change tools that should be considered when developing a nutrition resource targeting disadvantaged adolescents. Further research focusing on how mobile phone technology and social media can be utilised to support dietary behaviour change in low SES adolescents is recommended.</jats:sec