Institution
University of Salford
Education•Salford, 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.
Topics: Population, Thin film, Health care, Poison control, Sputtering
Papers published on a yearly basis
Papers
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TL;DR: An ensemble of regional climate model (RCM) runs from the EU HighNoon project are used to project future air temperatures and precipitation on a 25 km grid for the Ganges basin in northern India, with a view to assessing impact of climate change on water resources and determining what multi-sector adaptation measures and policies might be adopted at different spatial scales as discussed by the authors.
132 citations
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TL;DR: The IFC standard can be used to express the information for the construction cost estimating for tendering in China as a whole, but some extensions in the form of proxy elements and property sets are needed.
132 citations
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TL;DR: In this paper, a real-time mutli-period artificial bee colony (MABC) topology type central energy management system (CEMS) for home micro-grids in islanding mode is proposed to maximize operational efficiency and minimize operational cost of the H-MG with full degree of freedom in automatically adapt the management problem under variations in the generation and storage resources in real time as well, suitable for different size and types of generation resources and storage devices with plug-and-play structure.
132 citations
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TL;DR: This review identifies the current challenges in the investigation of VOCs as potential cancer biomarkers by the critical evaluation of available matrices for the in vivo and in vitro approaches in this field and by comparison of the main extraction and detection techniques that have been applied to date in this area of study.
Abstract: An early diagnosis and appropriate treatment are crucial in reducing mortality among people suffering from cancer. There is a lack of characteristic early clinical symptoms in most forms of cancer, which highlights the importance of investigating new methods for its early detection. One of the most promising methods is the analysis of volatile organic compounds (VOCs). VOCs are a diverse group of carbon-based chemicals that are present in exhaled breath and biofluids and may be collected from the headspace of these matrices. Different patterns of VOCs have been correlated with various diseases, cancer among them. Studies have also shown that cancer cells in vitro produce or consume specific VOCs that can serve as potential biomarkers that differentiate them from noncancerous cells. This review identifies the current challenges in the investigation of VOCs as potential cancer biomarkers, by the critical evaluation of available matrices for the in vivo and in vitro approaches in this field and by comparison of the main extraction and detection techniques that have been applied to date in this area of study. It also summarises complementary in vivo, ex vivo, and in vitro studies conducted to date in order to try to identify volatile biomarkers of cancer.
132 citations
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TL;DR: In this article, the effect of external mass transfer, competitive adsorption and coking on hydrogen permeation through thin Pd/Ag membranes has been evaluated by means of comparisons between experimental and predicated data at temperatures of 548-723K and a total pressure of 2bar.
132 citations
Authors
Showing all 13134 results
Name | H-index | Papers | Citations |
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Hongjie Dai | 197 | 570 | 182579 |
Michael P. Lisanti | 151 | 631 | 85150 |
Matthew Jones | 125 | 1161 | 96909 |
David W. Denning | 113 | 736 | 66604 |
Wayne Hall | 111 | 1260 | 75606 |
Richard Gray | 109 | 808 | 78580 |
Christopher E.M. Griffiths | 108 | 671 | 47675 |
Thomas P. Davis | 107 | 724 | 41495 |
Nicholas Tarrier | 92 | 326 | 25881 |
David M. A. Mann | 88 | 338 | 43292 |
Ajith Abraham | 86 | 1113 | 31834 |
Federica Sotgia | 85 | 247 | 28751 |
Mike Hulme | 84 | 300 | 35436 |
Robert N. Foley | 84 | 260 | 31580 |
Richard Baker | 83 | 514 | 22970 |