Psychological Research On Social Change

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/102176/1/ijop8247226.pd

On the nature of national involvement: a preliminary study

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/67978/2/10.1177_002200276901300303.pd

A Review of Estimating Population Exposure to Sea-Level Rise and the Relevance for Migration

This review analyses global or near-global estimates of population exposure to sea-level rise (SLR) and related hazards, followed by critically examining subsequent estimates of population migration due to this exposure. Our review identified 33 publications that provide global or near-global estimates of population exposure to SLR and associated hazards. They fall into three main categories of exposure, based on definitions in the publications: (i) the population impacted by specified levels of SLR; (ii) the number of people living in floodplains that are subject to coastal flood events with a specific return period; and (iii) the population living in low-elevation coastal zones (LECZs). Twenty of these 33 publications discuss connections between population migration and SLR. In our analysis of the exposure and migration data, we consider datasets, analytical methods, and the challenges of estimating exposure to SLR followed by potential human migration. We underscore the complex connections among SLR, exposure to its impacts, and migration. Human mobility to and from coastal areas is shaped by diverse socioeconomic, demographic, institutional, and political factors; there may be 'trapped' populations as well as those who prefer not to move for social, cultural, and political reasons; and migration can be delayed or forestalled through other adaptive measures. While global estimates of exposed and potentially migrating populations highlight the significant threats of SLR for populations living in low-lying areas at or near coastlines, further research is needed to understand the interactions among localised SLR and related hazards, social and political contexts, adaptation possibilities, and potential migration and (im)mobility decision-making

Sire breed, litter size, and environment influence genetic potential for lamb growth when using sire breeding values

Lamb growth can be optimised with genetic selection using sire Australian sheep breeding values, however, breeding value expression has been shown to be reduced with poor nutrition. It was therefore hypothesised that the genetic potential for lamb growth would also be reduced, where production factors such as multiple births limit growth. Live weights at birth, weaning, and post-weaning were collected from more than 18,000 lambs produced over five years and eight locations of the Sheep Cooperative Research Centre Information Nucleus Flock experiment, and the impact of environment, production factors, and genotype was determined using mixed effects regression. The genetic potential for lamb growth was moderated by environment, multiple births, and sire type (p < 0.05). Twin lambs achieved 76% of the expected weight gain at weaning and 58% post-weaning. For triplet lambs weight gains were drastically less at approximately 30% of the expected gain at the same time points. Lambs born to maternal sires consistently had the poorest response to genetic selection, achieving approximately half the expected weight gain. Hence, producers need to temper expectations for growth based on genetic selection, or employ mitigation strategies such as precision feeding, the use of alternate breeds, or place emphasis on the genetic merit of other desirable traits

Mining unexpected temporal associations: Applications in detecting adverse drug reactions

Copyright © 2008 IEEEIn various real-world applications, it is very useful mining unanticipated episodes where certain event patterns unexpectedly lead to outcomes, e.g., taking two medicines together sometimes causing an adverse reaction. These unanticipated episodes are usually unexpected and infrequent, which makes existing data mining techniques, mainly designed to find frequent patterns, ineffective. In this paper, we propose unexpected temporal association rules (UTARs) to describe them. To handle the unexpectedness, we introduce a new interestingness measure, residual-leverage, and develop a novel case-based exclusion technique for its calculation. Combining it with an event-oriented data preparation technique to handle the infrequency, we develop a new algorithm MUTARC to find pairwise UTARs. The MUTARC is applied to generate adverse drug reaction (ADR) signals from real-world healthcare administrative databases. It reliably shortlists not only six known ADRs, but also another ADR, flucloxacillin possibly causing hepatitis, which our algorithm designers and experiment runners have not known before the experiments. TheMUTARC performs much more effectively than existing techniques. This paper clearly illustrates the great potential along the new direction of ADR signal generation from healthcare administrative databases.Huidong (Warren) Jin, Jie Chen, Member, Hongxing He, Graham J. Williams, Chris Kelman and Christine M. O’Keef

How bad is bile acid diarrhoea: an online survey of patient-reported symptoms and outcomes.

OBJECTIVES: Bile acid diarrhoea (BAD) is an underdiagnosed condition producing diarrhoea, urgency and fear of faecal incontinence. How patients experience these symptoms has not previously been studied. Bile Acid Malabsorption (BAM) Support UK was established in 2015 as a national charity with objectives including to provide details regarding how BAD affects patients, to improve earlier recognition and clinical management. DESIGN SETTING AND MAIN OUTCOME: A questionnaire was collected anonymously by BAM Support UK and the Bile Salt Malabsorption Facebook group over 4 weeks at the end of 2015. It comprised 56 questions and aimed to inform patients and clinicians about how BAD affects the respondents. RESULTS: The first 100 responses were analysed. 91% of the respondents reported a diagnosis of BAD. 58% of total respondents diagnosed following a Selenium-homocholic acid taurine scan, 69% were diagnosed by a gastroenterologist, with type 2 and 3 BAD comprising 38% and 37%, respectively, of total respondents. Symptoms had been experienced for more than 5 years before diagnosis in 44% of respondents. Following treatment, usually with bile acid sequestrants, 60% of participants reported improvement of diarrhoea and most reported their mental health has been positively impacted. Just over half of the cohort felt as though their symptoms had been dismissed during clinical consultations and 28% felt their GPs were unaware of BAD. CONCLUSIONS: BAD requires more recognition by clinicians to address the current delays in diagnosis. Treatment improves physical and mental symptoms in the majority of participants

Exploring the use of image processing to survey and quantitatively assess historic buildings

Before architectural conservation takes place, a survey is conducted to assess the condition of the building and estimate the cost of the work. For façades, scaffolding is erected so that experts can access the building’s whole extent and gather data for analysis. This paper presents the results of a collaborative and cross-disciplinary research project aiming to automate data capture and analysis techniques for conservation of stone façades. Our research demonstrates the feasibility of a new methodology for the survey and assessment of historic buildings and will facilitate frequent surveys with minimal disruption to the general public in cities. The project has embedded architects’ expert knowledge into intelligent algorithms for automatically analysing images of facades. The combination of technologies allows for an efficient data capture while minimising the requirement for manual data analysis as well as more accurate estimates of its cost

Cuttlefish responses to visual orientation of substrates, water flow and a model of motion camouflage

Low-level mechanisms in vertebrate vision are sensitive to line orientation. Here we investigate orientation sensitivity in the cuttlefish Sepia pharaonis, by allowing animals to settle on stripe patterns. When camouflaging themselves cuttlefish are known to be sensitive to image parameters such as contrast and spatial scale, but we find no effect of background orientation on the patterns displayed. It is nonetheless clear that the animals see orientation, because they prefer to rest with the body-axis perpendicular to the stripes. We consider three possible mechanisms to account for this behaviour. Firstly, that the body patterns are themselves oriented, and that the cuttlefish align themselves to aid static camouflage. This is unlikely, as the patterns displayed have no dominant orientation at any spatial scale. A second possibility is that motion camouflage favours alignment of the body orthogonal to background stripes, and we suggest how this alignment can minimise motion signals produced by occlusion. Thirdly we show that cuttlefish prefer to rest with their body-axis parallel to the water flow, and it is possible that they use visual patterns such as sand ripples to determine water flow

Modelling expected physical impacts and human casualties from explosive volcanic eruptions

A multi-hazard, multi-vulnerability impact model has been developed for application to European volcanoes that could significantly damage human settlements. This impact model is based on volcanological analyses of the potential hazards and hazard intensities coupled with engineering analyses of the vulnerability to these hazards of residential buildings in four European locations threatened by explosive volcanic eruptions. For a given case study site, inputs to the model are population data, building characteristics, volcano scenarios as a series of hazard intensities, and scenarios such as the time of eruption or the percentage of the population which has been evacuated. Outputs are the rates of fatalities, seriously injured casualties, and destroyed buildings for a given scenario. These results are displayed in a GIS, thereby presenting risk maps which are easy to use for presenting to public officials, the media, and the public. Technical limitations of the model are discussed and future planned developments are considered. This work contributes to the EU-funded project EXPLORIS (Explosive Eruption Risk and Decision Support for EU Populations Threatened by Volcanoes, EVR1-2001-00047). </p><p style='line-height: 20px;'>&nbsp;</p

A Bound Quantum Particle in a Riemann-Cartan space with Topological Defects and Planar Potential

Starting from a continuum theory of defects, that is the analogous to three-dimensional Einstein-Cartan-Sciama-Kibble gravity, we consider a charged particle with spin 1/2 propagating in a uniform magnetic field coincident with a wedge dispiration of finite extent. We assume the particle is bound in the vicinity of the dispiration by long range attractive (harmonic) and short range (inverse square) repulsive potentials. Moreover, we consider the effects of spin-torsion and spin-magnetic field interactions. Exact expressions for the energy eigenfunctions and eigenvalues are determined. The limit, in which the defect region becomes singular, is considered and comparison with the electromagnetic Aharonov-Bohm effect is made.Comment: 10 page