Identifying appropriate motivations to encourage people to adopt healthy nutrition and physical activity behaviours

Many social marketing campaigns use threat (or fear) appeals to promote healthy behaviours, for example, ‘Quit smoking. You’ll soon stop dying for a cigarette’, ‘Slip! Slop! Slap! Don’t die in the sun this summer’, and ‘Speed kills’. These messages appeal to the negative motivation of problem avoidance and use fear arousal to persuade. This study explored people’s motivations for adopting healthy nutrition and physical activity behaviours. Overall, it appeared that four motivations (two negative and two positive) were particularly salient: a) Problem removal: managing illness and injury; b) Problem avoidance: avoiding illness, injury, premature death, harm to unborn baby; c) Self approval: feeling better about self; and d) Sensory gratification: mood elevation. The results suggest that, while problem avoidance is an appropriate motivation it is not the only one. Social marketing practitioners could use a range of other motivations that may be equally effective. In the same way that consumers assess marketing messages relating to goods and services, consumers of social marketing messages can choose to pay attention to the sorts of messages that work for them, and decide to disregard others that may be less helpful

Solving the occlusion problem for three-dimensional distortion-oriented displays

Recent research into distortion-oriented display (DODs) and non-linear magnification techniques has considered extending their application to large three-dimensional datasets. Inherent properties of three-dimensional datasets introduce some difficulties that do not occur in 2D environments. This paper considers the Occlusion Problem - that of context data hiding, or occluding, some or all of the data within an area of focus. A novel solution to this problem is proposed, namely the use of non-geometric distortions combined with geometric distortions, producing a three-dimensional distortion-oriented display that reduces obfuscation of data within the area of focus. An implementation of these techniques is developed, and its application to a small number of 3D datasets is examined as proof of concept

Move-minimizing puzzles, diamond-colored modular and distributive lattices, and poset models for Weyl group symmetric functions

The move-minimizing puzzles presented here are certain types of one-player combinatorial games that are shown to have explicit solutions whenever they can be encoded in a certain way as diamond-colored modular and distributive lattices. Such lattices can also arise naturally as models for certain algebraic objects, namely Weyl group symmetric functions and their companion semisimple Lie algebra representations. The motivation for this paper is therefore both diversional and algebraic: To show how some recreational move-minimizing puzzles can be solved explicitly within an order-theoretic context and also to realize some such puzzles as combinatorial models for symmetric functions associated with certain fundamental representations of the symplectic and odd orthogonal Lie algebras

NEEMIS : text of governors presentation of October 6, 1975

Prepared in association with the Alfred P. Sloan School of ManagementThis is the text of a presentation given to the six New England governors on November 7, 1975. The presentation focused on explaining how the New England Energy Management Information System (NEEMIS) has helped the region, what it is, how it will continue to help the region, what unique technology made it possible, what shall be done in the future, and a demonstration of one application

Randomized low-rank Dynamic Mode Decomposition for motion detection

N. Benjamin Erichson acknowledges support from the UK Engineering and Physical Sciences Research Council (EPSRC).This paper introduces a fast algorithm for randomized computation of a low-rank Dynamic Mode Decomposition (DMD) of a matrix. Here we consider this matrix to represent the development of a spatial grid through time e.g. data from a static video source. DMD was originally introduced in the fluid mechanics community, but is also suitable for motion detection in video streams and its use for background subtraction has received little previous investigation. In this study we present a comprehensive evaluation of background subtraction, using the randomized DMD and compare the results with leading robust principal component analysis algorithms. The results are convincing and show the random DMD is an efficient and powerful approach for background modeling, allowing processing of high resolution videos in real-time. Supplementary materials include implementations of the algorithms in Python.PostprintPeer reviewe

Utility of routine screening for alpha-1 antitrypsin deficiency in patients with bronchiectasis

Alpha-1 antitrypsin deficiency (AATD) is a cause of bronchiectasis. Guidelines for bronchiectasis from the British Thoracic Society do not recommend to routinely test patients for AATD. In contrast, guidelines for AATD recommend routine screening. This contradiction, in part, results from the lack of data from large studies performing comprehensive screening. We screened 1600 patients with bronchiectasis at two centres in the UK from 2012 to 2016. In total, only eight individuals with AATD were identified representing 0.5% of the overall population. We conclude that routine screening for AATD in bronchiectasis in the UK has a low rate of detection. Further studies are required in different geographical regions, which may have a higher prevalence of AATD.info:eu-repo/semantics/publishedVersio

Resolved Measurements of X_(CO) in NGC 6946

We present the largest sample to date of giant molecular clouds (GMCs) in a substantial spiral galaxy other than the Milky Way. We map the distribution of molecular gas with high resolution and image fidelity within the central 5 kpc of the spiral galaxy NGC 6946 in the ^(12)CO (J = 1-0) transition. By combining observations from the Nobeyama Radio Observatory 45 m single dish telescope and the Combined Array for Research in Millimeter Astronomy interferometer, we are able to obtain high image fidelity and accurate measurements of L_CO compared with previous purely interferometric studies. We resolve individual GMCs, measure their luminosities and virial masses, and derive X CO—the conversion factor from CO measurements to H2 masses—within individual clouds. On average, we find that X_CO = 1.2 × 10^(20) cm^(–2) (K km s^(–1))^(–1), which is consistent within our uncertainties with previously derived Galactic values as well as the value we derive for Galactic GMCs above our mass sensitivity limit. The properties of our GMCs are largely consistent with the trends observed for molecular clouds detected in the Milky Way disk, with the exception of six clouds detected within ~400 pc of the center of NGC 6946, which exhibit larger velocity dispersions for a given size and luminosity, as has also been observed at the Galactic center