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Institution

University of Portsmouth

EducationPortsmouth, Portsmouth, United Kingdom
About: University of Portsmouth is a education organization based out in Portsmouth, Portsmouth, United Kingdom. It is known for research contribution in the topics: Population & Galaxy. The organization has 5452 authors who have published 14256 publications receiving 424346 citations. The organization is also known as: Portsmouth and Gosport School of Science and Art & Portsmouth and Gosport School of Science and the Arts.


Papers
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Journal ArticleDOI
TL;DR: The functional play of children with autism was compared to that of developmentally matched children with Down syndrome and typical infants, and a closer analysis of the composition of this play did reveal striking, qualitative differences.
Abstract: Research evidence indicates that children with autism may experience problems with functional play, in addition to their well-documented deficits in symbolic play. However, as a result of the tendency of previous studies to group all functional play into a single category, the precise nature and extent of this deficit remains unclear. The present study undertook a more refined analysis of such play, subtyping the functional acts into various categories, in terms of the developmental progression suggested by research with typical infants. The functional play of children with autism was compared to that of developmentally matched children with Down syndrome and typical infants. Although there were no group differences in overall measures of the proportion of total play time spent in functional play and in the number of functional acts performed, a closer analysis of the composition of this play did reveal striking, qualitative differences. The functional play of the autism group was less elaborated, less varied, and less integrated than that of the controls. The implications of these findings are explored in relation to current theoretical models of autism and in relation to the role of other people in mediating the appropriate use of objects.

188 citations

Journal ArticleDOI
TL;DR: The authors found that belief in animal mind (BAM) was a powerful and consistent predictor of these attitudes, with BAM together with gender and vegetarianism predicting up to 37% of the variance in attitudes towards animal use.
Abstract: Animals are used by humans in many ways, yet science has paid little attention to the study of human–animal relationships (Melson 2002). In the present study, participants (n= 96) completed a questionnaire on attitudes towards animal use, and individual differences were examined to determine which characteristics might underlie these attitudes (“belief in animal mind,” age, gender, experience of animals, vegetarianism, political stance, and living area). It emerged that participants held different views for different types of animal use, and that belief in animal mind (BAM) was a powerful and consistent predictor of these attitudes, with BAM together with gender and vegetarianism predicting up to 37% of the variance in attitudes towards animal use. Thus, future research should acknowledge the importance of BAM as a major underlying factor of attitudes towards animal use, and should also distinguish between different types of animal use when measuring attitudes. We propose that the large effect of ...

188 citations

Journal ArticleDOI
Andrew M. Hopkins1, Simon P. Driver2, Simon P. Driver3, Sarah Brough1, Matt S. Owers1, Amanda E. Bauer1, Madusha Gunawardhana4, Madusha Gunawardhana1, Michelle E. Cluver1, Matthew Colless1, Caroline Foster5, Maritza A. Lara-López1, Isaac Roseboom6, Rob Sharp7, Oliver Steele8, Daniel Thomas8, Ivan K. Baldry9, Michael J. I. Brown10, Jochen Liske5, Peder Norberg11, Aaron S. G. Robotham2, Aaron S. G. Robotham3, Steven P. Bamford12, Jonathan Bland-Hawthorn4, Michael J. Drinkwater13, Jon Loveday14, Martin Meyer3, John A. Peacock6, Richard J. Tuffs15, N. K. Agius16, Mehmet Alpaslan3, Mehmet Alpaslan2, E. Andrae15, Ewan Cameron15, Shaun Cole11, J. H. Y. Ching4, L. Christodoulou14, Christopher J. Conselice12, Scott M. Croom4, Nicholas Cross6, R. De Propris, J. Delhaize3, Loretta Dunne17, Stephen Anthony Eales18, Simon Ellis1, Carlos S. Frenk11, Alister W. Graham19, Meiert W. Grootes15, Boris Häußler12, Catherine Heymans6, Denis Hill2, Ben Hoyle, Michael J. Hudson20, Matt J. Jarvis21, Matt J. Jarvis22, Jonas Johansson15, David Heath Jones10, E. van Kampen5, Lee S. Kelvin2, Lee S. Kelvin3, Konrad Kuijken23, Angel R. Lopez-Sanchez24, Angel R. Lopez-Sanchez1, Steve Maddox17, Barry F. Madore25, Claudia Maraston8, T. Mcnaught-Roberts11, Robert C. Nichol8, Seb Oliver14, H Parkinson6, Samantha J. Penny10, Steven Phillipps26, Kevin A. Pimbblet10, Trevor J. Ponman27, Cristina Popescu16, Matthew Prescott21, R. Proctor28, Elaine M. Sadler4, Anne E. Sansom16, Mark Seibert25, Lister Staveley-Smith3, William J. Sutherland29, Edward N. Taylor4, L. van Waerbeke30, J. A. Vázquez-Mata14, Stephen J. Warren31, D. Wijesinghe4, Vivienne Wild2, Stephen M. Wilkins22 
TL;DR: The Galaxy And Mass Assembly (GAMA) survey is a multi-wavelength photometric and spectroscopic survey, using the AAOmega spectrograph on the Anglo-Australian Telescope to obtain spectra for up to ∼300 000 galaxies over 280 deg2, to a limiting magnitude of rpet < 19.8 mag as discussed by the authors.
Abstract: The Galaxy And Mass Assembly (GAMA) survey is a multiwavelength photometric and spectroscopic survey, using the AAOmega spectrograph on the Anglo-Australian Telescope to obtain spectra for up to ∼300 000 galaxies over 280 deg2, to a limiting magnitude of rpet < 19.8 mag. The target galaxies are distributed over 0 < z ≲ 0.5 with a median redshift of z ≈ 0.2, although the redshift distribution includes a small number of systems, primarily quasars, at higher redshifts, up to and beyond z = 1. The redshift accuracy ranges from σv ≈ 50 km s−1 to σv ≈ 100 km s−1 depending on the signal-to-noise ratio of the spectrum. Here we describe the GAMA spectroscopic reduction and analysis pipeline. We present the steps involved in taking the raw two-dimensional spectroscopic images through to flux-calibrated one-dimensional spectra. The resulting GAMA spectra cover an observed wavelength range of 3750 ≲ λ ≲ 8850 A at a resolution of R ≈ 1300. The final flux calibration is typically accurate to 10–20 per cent, although the reliability is worse at the extreme wavelength ends, and poorer in the blue than the red. We present details of the measurement of emission and absorption features in the GAMA spectra. These measurements are characterized through a variety of quality control analyses detailing the robustness and reliability of the measurements. We illustrate the quality of the measurements with a brief exploration of elementary emission line properties of the galaxies in the GAMA sample. We demonstrate the luminosity dependence of the Balmer decrement, consistent with previously published results, and explore further how Balmer decrement varies with galaxy mass and redshift. We also investigate the mass and redshift dependencies of the [N II]/Hα versus [O III]/Hβ spectral diagnostic diagram, commonly used to discriminate between star forming and nuclear activity in galaxies.

188 citations

Journal ArticleDOI
TL;DR: In this article, a meta-analysis of a new cognitive approach to (non-)verbal lie detection is presented, which consists of three techniques: imposing cognitive load, encouraging interviewees to say more, and asking unexpected questions.
Abstract: Introduction This article provides a meta-analysis of a new, cognitive approach to (non-)verbal lie detection. This cognitive lie detection approach consists of three techniques: (1) imposing cognitive load, (2) encouraging interviewees to say more, and (3) asking unexpected questions. Method A meta-analysis was carried out on studies using the cognitive approach, 14 of which directly compared the cognitive approach to a standard approach. Results The cognitive lie detection approach produced superior accuracy results in truth detection (67%), lie detection (67%), and total detection (truth and lie detection combined, 71%) compared to a traditional standard approach (truth detection: 57%; lie detection: 47%; total detection: 56%). Conclusions Practitioners may find it useful to use a cognitive lie detection approach in their daily practice.

186 citations

Journal ArticleDOI
TL;DR: Interaction between humans and dogs is a mechanism that can enhance the physical and psychological health of elderly citizens and promote a social support network between dog owners, and dependence and impact on health and social services are alleviated.
Abstract: Objectives: The increase in aging populations has implications for the provision of health and social services. A preventative approach is taken to address this problem by examining a mechanism that can enhance physical health and reduce minor ailments. Methods: Participants in 10 focus groups discussed physical, psychological, and social benefits associated with human—dog interactions. Methods provided a rich database of individual perspectives on dogs as motivators to a healthy lifestyle. Results: Interaction between humans and dogs is a mechanism that can enhance the physical and psychological health of elderly citizens and promote a social support network between dog owners. In turn, dependence and impact on health and social services are alleviated. Discussion: The social and community consequences of promoting dog ownership in the elderly are addressed, and it is concluded that the benefits of dog ownership should be promoted among the elderly and acknowledged by relevant agencies.

186 citations


Authors

Showing all 5624 results

NameH-indexPapersCitations
Robert C. Nichol187851162994
Gavin Davies1592036149835
Daniel Thomas13484684224
Will J. Percival12947387752
Claudia Maraston10336259178
I. W. Harry9831265338
Timothy Clark95113753665
Kevin Schawinski9537630207
Ashley J. Ross9024846395
Josep Call9045134196
David A. Wake8921446124
L. K. Nuttall8925354834
Stephen Neidle8945732417
Andrew Lundgren8824957347
Rita Tojeiro8722943140
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202363
2022282
2021961
2020976
2019905
2018850