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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.


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Journal ArticleDOI
TL;DR: In this paper, the authors investigated the effect of different flow patterns on the front and base pressures of two cylinders arranged side-by-side to the approaching flow and found that the biased flow was bistable causing a change over at irregular intervals.

218 citations

Journal ArticleDOI
TL;DR: Standard MRI techniques are not helpful in identifying patients with MTBI who are likely to have delayed recovery, and there was weak correlation with abnormal neuropsychological tests for attention in the acute period.
Abstract: Mild traumatic brain injury (MTBI) is a common reason for hospital attendance and is associated with significant delayed morbidity. We studied a series of 80 persons with MTBI. Magnetic resonance imaging (MRI) and neuropsychological testing were used in the acute phase and a questionnaire for post-concussion syndrome (PCS) and return to work status at 6 months. In 26 subjects abnormalities were seen on MRI, of which 5 were definitely traumatic. There was weak correlation with abnormal neuropsychological tests for attention in the acute period. There was no significant correlation with a questionnaire for PCS and return to work status. Although non-specific abnormalities are frequently seen, standard MRI techniques are not helpful in identifying patients with MTBI who are likely to have delayed recovery.

217 citations

Journal ArticleDOI
01 Mar 2009-Knee
TL;DR: Interestingly, in the ACLD patients, their uninjured leg show deficits compared to the control in two of the four directions the ACLd leg was deficient, this may be indicative of a postural control deficit in these patients, which may have predisposed to the ACL injury and would warrant further study.
Abstract: ACL injury has been associated with a decrease in proprioceptive performance and specifically postural control. Tests of postural control have been criticised for not being sufficiently challenging. The Star Excursion Balance Test (SEBT) has been proposed to offer sufficient challenge to be a sensitive test for detecting performance deficits related to pathology. The purpose of this study was to determine if decrements SEBT reach distance is associated with ACL deficiency (ACLD). Twenty five ACLD patients ACLD (17 male and 8 female, mean age 30 (SD 4.5) years) and twenty five matched controls were examined carrying out the SEBT. Factorial ANOVA showed the main effects of limb (p=0.006) and direction (p<0.001) and interaction of limb and direction (p=0.015) all had significant differences between the groups. Further analysis revealed significant differences between the control group and the ACLD limb for the limb movement directions of anterior (p=0.0032), lateral (p=0.005), posterior-medial (p=0.0024) and medial (p=0.001). There were also significant differences between the control limbs and uninjured limb of the patients for the directions of medial (p=0.001) and lateral (p=0.001). ACLD patients appear to have deficiencies in their dynamic postural control when compared to normal asymptomatic subjects. Interestingly, in the ACLD patients, their uninjured leg show deficits compared to the control in two of the four directions the ACLD leg was deficient, this may be indicative of a postural control deficit in these patients, which may have predisposed to the ACL injury and would warrant further study.

217 citations

Journal ArticleDOI
TL;DR: Both secreted and membrane‐tethered forms of CLAC‐P/collagen type XXV specifically bound to fibrillized Aβ, implicating these proteins in β‐amyloidogenesis and neuronal degeneration in AD.
Abstract: We raised monoclonal antibodies against senile plaque (SP) amyloid and obtained a clone 9D2, which labeled amyloid fibrils in SPs and reacted with ∼50/100 kDa polypeptides in Alzheimer’s disease (AD) brains. We purified the 9D2 antigens and cloned a cDNA encoding its precursor, which was a novel type II transmembrane protein specifically expressed in neurons. This precursor harbored three collagen-like Gly–X–Y repeat motifs and was partially homologous to collagen type XIII. Thus, we named the 9D2 antigen as CLAC (collagen-like Alzheimer amyloid plaque component), and its precursor as CLAC-P/collagen type XXV. The extracellular domain of CLAC-P/collagen type XXV was secreted by furin convertase, and the N-terminus of CLAC deposited in AD brains was pyroglutamate modified. Both secreted and membrane-tethered forms of CLAC-P/collagen type XXV specifically bound to fibrillized Aβ, implicating these proteins in β-amyloidogenesis and neuronal degeneration in AD.

216 citations

Journal ArticleDOI
TL;DR: In this paper, the International Mission on Prognosis and Analysis of Clinical Trials and Corticoid Randomisation after significant head injury prognostic models for prediction of outcome after moderate or severe traumatic brain injury were compared in large datasets.
Abstract: Objective: The International Mission on Prognosis and Analysis of Clinical Trials and Corticoid Randomisation After Significant Head injury prognostic models predict outcome after traumatic brain injury but have not been compared in large datasets. The objective of this is study is to validate externally and compare the International Mission on Prognosis and Analysis of Clinical Trials and Corticoid Randomisation after Significant Head injury prognostic models for prediction of outcome after moderate or severe traumatic brain injury. Design: External validation study. Patients: We considered five new datasets with a total of 9,036 patients, comprising three randomized trials and two observational series, containing prospectively collected individual traumatic brain injury patient data. Measurements and Main Results: Outcomes were mortality and unfavorable outcome, based on the Glasgow Outcome Score at 6 months after injury. To assess performance, we studied the discrimination of the models (by area under the receiver operating characteristic curves), and calibration (by comparison of the mean observed to predicted outcomes and calibration slopes). The highest discrimination was found in the Trauma Audit and Research Network trauma registry (area under the receiver operating characteristic curves between 0.83 and 0.87), and the lowest discrimination in the Pharmos trial (area under the receiver operating characteristic curves between 0.65 and 0.71). Although differences in predictor effects between development and validation populations were found (calibration slopes varying between 0.58 and 1.53), the differences in discrimination were largely explained by differences in case mix in the validation studies. Calibration was good, the fraction of observed outcomes generally agreed well with the mean predicted outcome. No meaningful differences were noted in performance between the International Mission on Prognosis and Analysis of Clinical Trials and Corticoid Randomisation After Significant Head injury models. More complex models discriminated slightly better than simpler variants. Conclusions: Since both the International Mission on Prognosis and Analysis of Clinical Trials and the Corticoid Randomisation After Significant Head injury prognostic models show good generalizability to more recent data, they are valid instruments to quantify prognosis in traumatic brain injury.

216 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