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Outputs (15201)

Does the human skin microbiome adapt to antibiotic exposure? (2019)
Thesis
Khan, R. Does the human skin microbiome adapt to antibiotic exposure?. (Dissertation). University of Salford

Staphylococcus epidermidis is a substantial element of the healthy human skin microflora and can become pathogenic to cause infections, for example, septicaemia and endocarditis. The effects of long-term sub-lethal exposure to antibiotics on the skin... Read More about Does the human skin microbiome adapt to antibiotic exposure?.

Towards intelligent diabetes knowledge management and knowledge discovery : a data mining approach (2019)
Thesis
Darwish, F. Towards intelligent diabetes knowledge management and knowledge discovery : a data mining approach. (Dissertation). University of Salford

Self-monitoring and self-management play an increasingly vital role in the management of prevalent diseases afflicting millions of people worldwide. Conditions such as cardiovascular disease or diabetes mellitus can be managed with pharmaceuticals. H... Read More about Towards intelligent diabetes knowledge management and knowledge discovery : a data mining approach.

Validation of the ITU-R P series radio wave propagation model for millimetre wave V-Band (60GHz) line-of-sight point-to-point short distance link (2019)
Thesis
Odum, R. Validation of the ITU-R P series radio wave propagation model for millimetre wave V-Band (60GHz) line-of-sight point-to-point short distance link. (Thesis). University of Salford

Millimetre-wave communication systems have a very high potential to become mobile technology of choice for future 4G and 5G network architectures, which has led to many researchers carrying out studies regarding the effects of the atmosphere on radio... Read More about Validation of the ITU-R P series radio wave propagation model for millimetre wave V-Band (60GHz) line-of-sight point-to-point short distance link.

A new classification approach based on geometrical model for human detection in images (2019)
Thesis
Al-N'Awashi, M. A new classification approach based on geometrical model for human detection in images. (Thesis). University of Salford

In recent years, object detection and classification has gained more attention, thus, there are several human object detection algorithms being used to locate and recognize human objects in images. The research of image processing and analysing based... Read More about A new classification approach based on geometrical model for human detection in images.

Impact of human errors on accidents in the oil and gas industry in Bahrain (2019)
Thesis
Alkhaldi, M. Impact of human errors on accidents in the oil and gas industry in Bahrain. (Thesis). University of Salford

Through the last few decades, occupational accidents had increased in different workplaces around the world. One of the main causes of these accidents is human error. Human error is an improper decision or behaviour of any worker in the workplace. In... Read More about Impact of human errors on accidents in the oil and gas industry in Bahrain.

A framework for Lean implementation in infrastructure construction in the UK (2019)
Thesis
Sari, K. A framework for Lean implementation in infrastructure construction in the UK. (Thesis). University of Salford

The UK government is keen to have a world class modern transport infrastructure operational in the UK that will provide opportunities for regeneration and enable the nation to be competitive in the global market. Modern transport infrastructure is th... Read More about A framework for Lean implementation in infrastructure construction in the UK.

Computational fluid dynamics simulation of a nanofluid-based annular solar collector with different metallic nano-particles (2019)
Journal Article

A numerical study of convective heat transfer in an annular pipe solar collector system is conducted. The inner tube contains pure water and the annular region contains nanofluid. Three-dimensional steady-state incompressi... Read More about Computational fluid dynamics simulation of a nanofluid-based annular solar collector with different metallic nano-particles.

Reduction of wind induced microphone noise using singular spectrum analysis technique (2019)
Thesis
Eldwaik, O. Reduction of wind induced microphone noise using singular spectrum analysis technique. (Thesis). University of Salford

Wind induced noise in microphone signals is one of the major concerns of outdoor acoustic signal acquisition. It affects many field measurement and audio recording scenarios. Filtering such noise is known to be difficult due to its broad... Read More about Reduction of wind induced microphone noise using singular spectrum analysis technique.

Unveiling the role(s) of informal third sector deliverers : towards a conceptual framework to understand the process of social value creation among informal third sector groups (2019)
Thesis
Mashiter, C. Unveiling the role(s) of informal third sector deliverers : towards a conceptual framework to understand the process of social value creation among informal third sector groups. (Thesis). University of Salford

This research was designed to explore the role of the informal third sector groups (ITSGs) using an alternative methodological approach to Social Return on Investment (SROI) to reconceptualise value measurement. It focused on four ITSGs in Blackpoo... Read More about Unveiling the role(s) of informal third sector deliverers : towards a conceptual framework to understand the process of social value creation among informal third sector groups.

Place-based innovation ecosystems : Boston-Cambridge innovation districts (2019)
Report
Rissola, G., Bevilaqua, C., Monardo, B., & Trillo, C. (2019). Place-based innovation ecosystems : Boston-Cambridge innovation districts

This report focuses on the case study of the Boston area and identifies the key success factors in the Boston regional innovation ecosystem. It discusses how the macro-innovation eco-ecosystem is composed by a variety of interconnected micro-innovati... Read More about Place-based innovation ecosystems : Boston-Cambridge innovation districts.