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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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Proceedings ArticleDOI
23 Aug 2010
TL;DR: PAGE is described, a new XML-based page image representation framework that records information on image characteristics (image borders, geometric distortions and corresponding corrections, binarisation etc.) in addition to layout structure and page content.
Abstract: There is a plethora of established and proposed document representation formats but none that can adequately support individual stages within an entire sequence of document image analysis methods (from document image enhancement to layout analysis to OCR) and their evaluation. This paper describes PAGE, a new XML-based page image representation framework that records information on image characteristics (image borders, geometric distortions and corresponding corrections, binarisation etc.) in addition to layout structure and page content. The suitability of the framework to the evaluation of entire workflows as well as individual stages has been extensively validated by using it in high-profile applications such as in public contemporary and historical ground-truthed datasets and in the ICDAR Page Segmentation competition series.

145 citations

Journal ArticleDOI
TL;DR: The contradictions entailed in the systems developer’s role when intervening between the groups, attempting to enrol them into participation as well as develop a system that will deliver on the promises made on its behalf during the enrolment process are highlighted.

144 citations

Journal ArticleDOI
H. B. Stoner1, R. A. Little1, K N Frayn1, A. E. Elebute1, J. Tresadern1, E. Gross1 
TL;DR: Glucose oxidation was reduced in the septic patients and fat oxidation continued despite the infusion of an excess of glucose, and the highly significant positive relationship found between the plasma cortisol concentration and the sepsis score might be important.
Abstract: Oxidative metabolism has been studied by indirect calorimetry in 27 patients with sepsis and in 7 non-septic patients while they were all receiving total parenteral nutrition. Glucose oxidation was reduced in the septic patients and fat oxidation continued despite the infusion of an excess of glucose. The extent of these changes depended on the severity of the septic state as measured by the scoring system described in the preceding paper. The mechanism of these changes is not known. They were not related to an elevation of the plasma non-esterified fatty acid concentration. Alterations must have occurred in the way fat was taken up and metabolized by the cells. Here insulin resistance and the highly significant positive relationship found between the plasma cortisol concentration and the sepsis score might be important.

144 citations

Journal ArticleDOI
TL;DR: In this deprived urban population, diagnoses of common conditions decreased substantially between March and May 2020, suggesting a large number of patients have undiagnosed conditions.
Abstract: Summary Background To date, research on the indirect impact of the COVID-19 pandemic on the health of the population and the health-care system is scarce. We aimed to investigate the indirect effect of the COVID-19 pandemic on general practice health-care usage, and the subsequent diagnoses of common physical and mental health conditions in a deprived UK population. Methods We did a retrospective cohort study using routinely collected primary care data that was recorded in the Salford Integrated Record between Jan 1, 2010, and May 31, 2020. We extracted the weekly number of clinical codes entered into patient records overall, and for six high-level categories: symptoms and observations, diagnoses, prescriptions, operations and procedures, laboratory tests, and other diagnostic procedures. Negative binomial regression models were applied to monthly counts of first diagnoses of common conditions (common mental health problems, cardiovascular and cerebrovascular disease, type 2 diabetes, and cancer), and corresponding first prescriptions of medications indicative of these conditions. We used these models to predict the expected numbers of first diagnoses and first prescriptions between March 1 and May 31, 2020, which were then compared with the observed numbers for the same time period. Findings Between March 1 and May 31, 2020, 1073 first diagnoses of common mental health problems were reported compared with 2147 expected cases (95% CI 1821 to 2489) based on preceding years, representing a 50·0% reduction (95% CI 41·1 to 56·9). Compared with expected numbers, 456 fewer diagnoses of circulatory system diseases (43·3% reduction, 95% CI 29·6 to 53·5), and 135 fewer type 2 diabetes diagnoses (49·0% reduction, 23·8 to 63·1) were observed. The number of first prescriptions of associated medications was also lower than expected for the same time period. However, the gap between observed and expected cancer diagnoses (31 fewer; 16·0% reduction, −18·1 to 36·6) during this time period was not statistically significant. Interpretation In this deprived urban population, diagnoses of common conditions decreased substantially between March and May 2020, suggesting a large number of patients have undiagnosed conditions. A rebound in future workload could be imminent as COVID-19 restrictions ease and patients with undiagnosed conditions or delayed diagnosis present to primary and secondary health-care services. Such services should prioritise the diagnosis and treatment of these patients to mitigate potential indirect harms to protect public health. Funding National Institute of Health Research.

144 citations

Journal ArticleDOI
TL;DR: Plyometric training has been shown here to provide similar benefits to that of plyometric training with respect to the measured variables, but with reduced impact forces, and would therefore provide a useful adjunct for athletic training programs within a 6-week time frame.
Abstract: The purpose of this study was to concurrently determine the effect that plyometric and isometric training has on tendon stiffness (K) and muscle output characteristics to compare any subsequent changes. Thirteen men trained the lower limbs either plyometrically or isometrically 2-3 times a week for a 6-week period. Medial gastrocnemius tendon stiffness was measured in vivo using ultrasonography during ramped isometric contractions before and after training. Mechanical output variables were measured using a force plate during concentric and isometric efforts. Significant (p < 0.05) training-induced increases in tendon K were seen for the plyometric (29.4%; 49.0 +/- 10.8 to 63.4 +/- 9.2 N x mm(-1)) and isometric groups (61.6%; 43.9 +/- 2.5 to 71.0 +/- 7.4 N x mm(-1)). Statistically similar increases in rate of force development and jump height were also seen for both training groups, with increases of 18.9 and 58.6% for the plyometric group and 16.7 and 64.3% for the isometric group, respectively. Jump height was found to be significantly correlated with tendon stiffness, such that stiffness could explain 21% of the variance in jump height. Plyometric training has been shown to place large stresses on the body, which can lead to a potential for injury, whereas explosive isometric training has been shown here to provide similar benefits to that of plyometric training with respect to the measured variables, but with reduced impact forces, and would therefore provide a useful adjunct for athletic training programs within a 6-week time frame.

144 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