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Institution

Teesside University

EducationMiddlesbrough, Middlesbrough, United Kingdom
About: Teesside University is a education organization based out in Middlesbrough, Middlesbrough, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 2155 authors who have published 5540 publications receiving 118373 citations. The organization is also known as: University of Teesside.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors explored the attractiveness of the dark triad personality to the other sex, 128 women rated created (male) characters designed to capture high DT facets of personality or a control personality.

72 citations

Journal ArticleDOI
Tony Morden1
Abstract: Contends that in addition to the role of leadership as a fundamental organizational competence, leadership may be defined in terms of vision and shared values. Vision is conceptualized in holistic terms. Defines vision as an imagined or perceived but consistent pattern of communal possibilities to which others can be drawn, and whose values they will wish to share. Explains visionary leadership and analyses implementation within the context of social architecture and trust. Describes Collins and Porras’ (1996) analysis of the visionary company. Concludes with a summary of Hickman’s (1992) analysis of the relationship between the visionary capacity of the leader, and the practical implementation approach of the manager, as the two opposite ends of a spectrum. Concludes that a basic holistic objective should be to blend strong visionary leadership with effective management into one integrated whole, in which the strengths of both combine synergistically to the advantage of the enterprise.

72 citations

Journal ArticleDOI
TL;DR: The authors argue that the significance of the Internet as a site for fans to interact remains under-investigated and argue that online interactions between fans of English clubs need to be taken more seriously by academics if they are to fully understand how soccer contributes to the maintenance of social identities in contemporary England.
Abstract: Soccer fandom practices in England have been significantly impacted by globalization. The creation of the Premier League in 1992, and the way in which satellite television company BSkyB dominated coverage of this, together with other developments, have led to changes in how fans consume top‐level English soccer. Whilst such global transformations are well documented in the sociology of soccer literature, the implications of the rise of the most advanced global form of communication – the Internet – on the practices of fans of English soccer clubs, have not been fully taken into account by academics. As such, the significance of the Internet as a site for fans to interact remains under‐investigated. This article argues that online interactions between fans of English clubs need to be taken more seriously by academics if they are to more fully understand how soccer contributes to the maintenance of social identities in contemporary England.

72 citations

Journal ArticleDOI
TL;DR: Despite the fact that half of the reconstructions resulted in complications or complaints, 70% of the women were satisfied with the reconstruction and only 12% would never choose IBR again, and satisfaction was strongly correlated with the need for information.

72 citations

Journal ArticleDOI
TL;DR: A new method for online estimating SOC is proposed, which combines a novel adaptive extended Kalman filter (AEKF) and a parameter identification algorithm based on adaptive recursive least squares (RLS).
Abstract: Battery management system (BMS) is one of the key subsystems of electric vehicle, and the battery state-of -charge (SOC) is a crucial input for the calculations of energy and power. Therefore, SOC estimation is a significant task for BMS. In this paper, a new method for online estimating SOC is proposed, which combines a novel adaptive extended Kalman filter (AEKF) and a parameter identification algorithm based on adaptive recursive least squares (RLS). Specifically, according to the first order R-C network equivalent circuit model, the battery model parameters are identified online using the RLS with multiple forgetting factors. Based on the identified parameters, the novel AEKF is used to accurately estimate the battery SOC. The online identification of parameter tracks the varying model. At the same time, due to the novel AEKF algorithm to dynamically adjust the system noise parameter, excellent accuracy of the SOC real-time estimation is obtained. Experiments are set to evaluate the accuracy and robustness of the proposed SOC estimation method. The simulation test results indicate that under DST and UDDS conditions, the maximum absolute errors are less than 0.015 after filtering convergence. In addition, the maximum absolute error is less than 0.02 in the simulation of DST with current and voltage measurement noise, so is in DST with current offset sensor error. The tests indicate that the proposed method can accurately estimate battery SOC and has strong robustness.

72 citations


Authors

Showing all 2207 results

NameH-indexPapersCitations
Martin White1962038232387
John Dixon9654336929
Derek K. Jones7637533916
Andrew T. Campbell7534728175
Greg Atkinson7430021725
Alan Burns6342419870
Carolyn Summerbell6319918987
Falko F. Sniehotta6026016194
Roland Lang5914812907
Barry Drust5520910888
Pietro Liò5461320137
Chimay J. Anumba533829445
Mark Taylor5132015426
Victor Chang5039110184
Alan M. Batterham4818313841
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202333
202254
2021460
2020439
2019336
2018311