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Institution

City University London

EducationLondon, United Kingdom
About: City University London is a education organization based out in London, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 5735 authors who have published 17285 publications receiving 453290 citations.


Papers
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Journal ArticleDOI
TL;DR: It is concluded that emotional wellbeing is positively associated with extent of participation in sport and vigorous recreational activity among adolescents, consistent with experimental evidence that vigorous exercise has favourable effects on emotional state.

450 citations

Journal ArticleDOI
TL;DR: In this article, a tuned mass-damper-inerter (TMDI) was proposed to suppress the oscillatory motion of stochastically support excited mechanical cascaded (chain-like) systems.

449 citations

Proceedings ArticleDOI
18 Mar 2015
TL;DR: An empirical evaluation shows that Explanatory Debugging increased participants' understanding of the learning system by 52% and allowed participants to correct its mistakes up to twice as efficiently as participants using a traditional learning system.
Abstract: How can end users efficiently influence the predictions that machine learning systems make on their behalf? This paper presents Explanatory Debugging, an approach in which the system explains to users how it made each of its predictions, and the user then explains any necessary corrections back to the learning system. We present the principles underlying this approach and a prototype instantiating it. An empirical evaluation shows that Explanatory Debugging increased participants' understanding of the learning system by 52% and allowed participants to correct its mistakes up to twice as efficiently as participants using a traditional learning system.

445 citations

Journal ArticleDOI
TL;DR: In this article, the effect of self-guided internet-based cognitive behavioral therapy (iCBT) in treating adults with depressive symptoms compared with controls and evaluate the moderating effects of treatment outcome and response.
Abstract: IMPORTANCE Self-guided internet-based cognitive behavioral therapy (iCBT) has the potential to increase access and availability of evidence-based therapy and reduce the cost of depression treatment. OBJECTIVES To estimate the effect of self-guided iCBT in treating adults with depressive symptoms compared with controls and evaluate the moderating effects of treatment outcome and response. DATA SOURCES A total of 13 384 abstracts were retrieved through a systematic literature search in PubMed, Embase, PsycINFO, and Cochrane Library from database inception to January 1, 2016. STUDY SELECTION Randomized clinical trials in which self-guided iCBT was compared with a control (usual care, waiting list, or attention control) in individuals with symptoms of depression. DATA EXTRACTION AND SYNTHESIS Primary authors provided individual participant data from 3876 participants from 13 of 16 eligible studies. Missing data were handled using multiple imputations. Mixed-effects models with participants nested within studies were used to examine treatment outcomes and moderators. MAIN OUTCOMES AND MEASURES Outcomes included the Beck Depression Inventory, Center for Epidemiological Studies-Depression Scale, and 9-item Patient Health Questionnaire scores. Scales were standardized across the pool of the included studies. RESULTS Of the 3876 study participants, the mean (SD) age was 42.0 (11.7) years, 2531 (66.0%) of 3832 were female, 1368 (53.1%) of 2574 completed secondary education, and 2262 (71.9%) of 3146 were employed. Self-guided iCBT was significantly more effective than controls on depressive symptoms severity (s =-0.21; Hedges g = 0.27) and treatment response (s = 0.53; odds ratio, 1.95; 95% CI, 1.52-2.50; number needed to treat, 8). Adherence to treatment was associated with lower depressive symptoms (s =-0.19; P =.001) and greater response to treatment (s = 0.90; P <.001). None of the examined participant and study-level variables moderated treatment outcomes. CONCLUSIONS AND RELEVANCE Self-guided iCBT is effective in treating depressive symptoms. The use of meta-analyses of individual participant data provides substantial evidence for clinical and policy decision making because self-guided iCBT can be considered as an evidence-based first-step approach in treating symptoms of depression. Several limitations of the iCBT should be addressed before it can be disseminated into routine care.

445 citations

Book
22 Sep 2009
TL;DR: Schoon et al. as discussed by the authors examined the transition from childhood into adulthood and the assumption of work and family related roles among individuals born in 1958 and 1970 respectively, focusing on academic attainment among high and low risk individuals, but also considering behavioural adjustment, health and psychological well-being.
Abstract: What factors enable individuals to overcome adverse childhoods and move on to rewarding lives in adulthood? Drawing on data collected from two of Britain's richest research resources for the study of human development, the 1958 National Child Development Study and the 1970 British Cohort Study, Schoon investigates the phenomenon of 'resilience' - the ability to adjust positively to adverse conditions. Comparing the experiences of over 30,000 individuals born twelve years apart, Schoon examines the transition from childhood into adulthood and the assumption of work and family related roles among individuals born in 1958 and 1970 respectively. The study focuses on academic attainment among high and low risk individuals, but also considers behavioural adjustment, health and psychological well-being, as well as the stability of adjustment patterns in times of social change. This is a major work of reference and synthesis, that makes an important contribution to the study of lifelong development.

442 citations


Authors

Showing all 5822 results

NameH-indexPapersCitations
Andrew M. Jones10376437253
F. Rauscher10060536066
Thorsten Beck9937362708
Richard J. K. Taylor91154343893
Christopher N. Bowman9063938457
G. David Batty8845123826
Xin Zhang87171440102
Richard J. Cook8457128943
Hugh Willmott8231026758
Scott Reeves8244127470
Sarah-Jayne Blakemore8121129660
Mats Alvesson7826738248
W. John Edmunds7525224018
Sheng Chen7168827847
Christopher J. Taylor7141530948
Network Information
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202330
2022188
20211,030
20201,011
2019939
2018879