scispace - formally typeset
Search or ask a question
Institution

University of Southampton

EducationSouthampton, United Kingdom
About: University of Southampton is a education organization based out in Southampton, United Kingdom. It is known for research contribution in the topics: Population & Laser. The organization has 37184 authors who have published 99400 publications receiving 3462915 citations. The organization is also known as: Southampton University & Soton Uni.


Papers
More filters
Journal ArticleDOI
TL;DR: These ideas are explored with reference to the experiences of guests at a respite care centre in Dorset, which places a strong emphasis on facilitating guests' engagement with the wider natural environment in which it is set.

439 citations

Journal ArticleDOI
TL;DR: It is found that drivers take longer to resume control when under no time pressure compared with that reported in the literature, and that drivers occupied by a secondary task exhibit larger variance and slower responses to requests to resumes control.
Abstract: Objective:The aim of this study was to review existing research into driver control transitions and to determine the time it takes drivers to resume control from a highly automated vehicle in noncr...

439 citations

Journal ArticleDOI
TL;DR: An alternative synthesis based on Liapunov's second method is suggested here, and is applied to the redesign of adaptive loops considered by some other authors who have all used the M.I.T.T, rule.
Abstract: The model reference adaptive control system has proved very popular on account of a ready-made, but heuristically based, rule for synthesizing the adaptive loops-the so-called "M.I.T. rule." A theoretical analysis of loops so designed is generally very difficult, but analyses of quite simple systems do show that instability is possible for certain system inputs. An alternative synthesis based on Liapunov's second method is suggested here, and is applied to the redesign of adaptive loops considered by some other authors who have all used the M.I.T, rule. Derivatives of model-system error are sometimes required, but may be avoided in gain adjustment schemes if the system transfer function is "positive real," using a lemma due to Kalman. This paper amplifies and extends the work of Butchart and Shackcloth reported at the IFAC (Teddington) Symposium, September, 1965.

439 citations

Journal ArticleDOI
TL;DR: The SMQ has a single factor structure, was internally reliable, significantly correlated with the MAAS, showed expected associations with affect, and distinguished among meditators, non-meditators and people with psychosis.
Abstract: Objective. To assess the reliability and validity of the Southampton mindfulness questionnaire (SMQ), a 16-item measure of mindful awareness of distressing thoughts and images. Methods. A total of 256 people participated, comprising a non-clinical community sample of 134 (83 meditators and 51 non-meditators) and a clinical sample of 122 people with a current distressing psychosis. To assess concurrent validity, non-clinical participants and half clinical participants (total 197 participants) completed the mindful attention awareness scale (MAAS). Predicted links were assessed with affect, and 59 patients completed a validated measure to assess link between mindfulness and intensity of 'delusional' experience. Results. The scale has a single factor structure, was internally reliable, significantly correlated with the MAAS, showed expected associations with affect, and distinguished among meditators, non-meditators and people with psychosis. Conclusions. The data support use of the SMQ in clinical practice and research to assess mindful responding to distressing thoughts and images.

438 citations

Journal ArticleDOI
Fabio Acero1, M. Ackermann, Marco Ajello2, Andrea Albert3  +166 moreInstitutions (37)
TL;DR: In this article, the authors describe the development of the Galactic Interstellar Emission Model (GIEM) which is the standard adopted by the LAT Collaboration and is publicly available, based on a linear combination of maps for interstellar gas column density in Galactocentric annuli and for the inverse-Compton emission produced in the Galaxy.
Abstract: Most of the celestial γ rays detected by the Large Area Telescope (LAT) on board the Fermi Gamma-ray Space Telescope originate from the interstellar medium when energetic cosmic rays interact with interstellar nucleons and photons. Conventional point-source and extended-source studies rely on the modeling of this diffuse emission for accurate characterization. Here, we describe the development of the Galactic Interstellar Emission Model (GIEM), which is the standard adopted by the LAT Collaboration and is publicly available. This model is based on a linear combination of maps for interstellar gas column density in Galactocentric annuli and for the inverse-Compton emission produced in the Galaxy. In the GIEM, we also include large-scale structures like Loop I and the Fermi bubbles. The measured gas emissivity spectra confirm that the cosmic-ray proton density decreases with Galactocentric distance beyond 5 kpc from the Galactic Center. The measurements also suggest a softening of the proton spectrum with Galactocentric distance. We observe that the Fermi bubbles have boundaries with a shape similar to a catenary at latitudes below 20° and we observe an enhanced emission toward their base extending in the north and south Galactic directions and located within ∼4° of the Galactic Center.

438 citations


Authors

Showing all 37632 results

NameH-indexPapersCitations
Cyrus Cooper2041869206782
Stephen V. Faraone1881427140298
David R. Williams1782034138789
Charles M. Lieber165521132811
David W. Johnson1602714140778
Mark E. Cooper1581463124887
Pete Smith1562464138819
Joseph Jankovic153114693840
Vivek Sharma1503030136228
David J.P. Barker14844699373
Debbie A Lawlor1471114101123
Olli T. Raitakari1421232103487
Stephen T. Holgate14287082345
Alexander Belyaev1421895100796
Christopher D.M. Fletcher13867482484
Network Information
Related Institutions (5)
University of Manchester
168K papers, 6.4M citations

96% related

University College London
210.6K papers, 9.8M citations

96% related

Imperial College London
209.1K papers, 9.3M citations

96% related

University of Cambridge
282.2K papers, 14.4M citations

95% related

University of Edinburgh
151.6K papers, 6.6M citations

94% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023164
2022725
20215,302
20205,219
20194,943
20184,969