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Institution

University of Salford

EducationSalford, Manchester, United Kingdom
About: University of Salford is a education organization based out in Salford, Manchester, United Kingdom. It is known for research contribution in the topics: Population & Thin film. The organization has 13049 authors who have published 22957 publications receiving 537330 citations. The organization is also known as: University of Salford Manchester & The University of Salford Manchester.


Papers
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Journal ArticleDOI
TL;DR: In this article, the second-order terms associated with geometric nonlinearity were introduced into the basic equation of generalized beam theory to give rise to simple explicit equations for the load to cause buckling in individual modes under either axial load or uniform bending moment.

142 citations

Journal ArticleDOI
TL;DR: In this paper, a case study of a BoB implementation facilitates a comparative analysis of the issues associated with this strategy and the single vendor ERP alternative, and illustrates the differences in complexity of implementation, levels of functionality, business process alignment potential and associated maintenance.
Abstract: Enterprise resource planning (ERP) software is the dominant strategic platform for supporting enterprise‐wide business processes. However, it has been criticised for being inflexible and not meeting specific organisation and industry requirements. An alternative, best of breed (BoB), integrates components of standard package and/or custom software. The objective is to develop enterprise systems that are more closely aligned with the business processes of an organisation. A case study of a BoB implementation facilitates a comparative analysis of the issues associated with this strategy and the single vendor ERP alternative. The paper illustrates the differences in complexity of implementation, levels of functionality, business process alignment potential and associated maintenance.

142 citations

Journal ArticleDOI
TL;DR: In this article, the potential of thin SiO2 oxides implanted by very low energy (1 keV) Si ions and subsequently annealed are explored with regards to their potential as active elements of memory devices.
Abstract: Thin SiO2 oxides implanted by very-low-energy (1 keV) Si ions and subsequently annealed are explored with regards to their potential as active elements of memory devices. Charge storage effects as a function of Si fluence are investigated through capacitance and channel current measurements. Capacitance–voltage and source–drain current versus gate voltage characteristics of devices implanted with a dose of 1×1016 cm−2 or lower exhibit clear hysteresis characteristics at low electric field. The observed fluence dependence of the device electrical properties is interpreted in terms of the implanted oxide structure.

141 citations

Journal ArticleDOI
TL;DR: Examination of the predictive accuracy of the MacVRAS measures in a UK sample of patients discharged from in-patient care in the north-west of England found that consideration of current dynamic factors relating to illness and risk management significantly improves predictive accuracy.
Abstract: Background The MacArthur Violence Risk Assessment Study (MacVRAS) in the USA provided strong evidence to support an actuarial approach in community violence risk assessment. Aims To examine the predictive accuracy of the MacVRAS measures, in addition to structured professional judgement, in a UK sample of patients discharged from in-patient care in the north-west of England. Method A prospective study of 112 participants assessed pre-discharge and followed up at 24 weeks post-discharge. Pre-discharge measures were compared with prevalence of violent behaviour to determine predictive validity of risk factors. Results Historical measures of risk and measures of psychopathy, impulsiveness and anger were highly predictive of community violence. The more dynamic clinical and risk management factors derived from structured professional judgement (rated atdischarge) added significant incremental validity to the historical factors in predicting community violence. Conclusions Although static measures of risk relating to past history and personality make an important contribution to assessment of violence risk, consideration of current dynamic factors relating to illness and risk management significantly improves predictive accuracy.

141 citations

Journal ArticleDOI
TL;DR: A prospective analysis of 207 trauma patients, from three internationally recognized trauma centres, showed that trauma teams in which staff carry out allocated tasks simultaneously have the quickest resuscitation times.
Abstract: A prospective analysis of 207 trauma patients, from three internationally recognized trauma centres, showed that trauma teams in which staff carry out allocated tasks simultaneously have the quickest resuscitation times. This finding was further tested by introducing these changes into a fourth centre. A comparison of resuscitation stage times was made in 26 patients before and 24 patients after the introduction of the organizational changes. Significant time reductions were found in all the stages, except the time taken to examine the patient. The time taken to complete the resuscitation was reduced by over half from 122 to 56 min. Significant time reductions applied even when variations in the type of patient, the team size or seniority of the team leader was taken into account. Recommendations for the organization of trauma teams are made.

141 citations


Authors

Showing all 13134 results

NameH-indexPapersCitations
Hongjie Dai197570182579
Michael P. Lisanti15163185150
Matthew Jones125116196909
David W. Denning11373666604
Wayne Hall111126075606
Richard Gray10980878580
Christopher E.M. Griffiths10867147675
Thomas P. Davis10772441495
Nicholas Tarrier9232625881
David M. A. Mann8833843292
Ajith Abraham86111331834
Federica Sotgia8524728751
Mike Hulme8430035436
Robert N. Foley8426031580
Richard Baker8351422970
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202331
2022139
2021880
2020888
2019842
2018781