Stafford, United Kingdom
Stafford, United Kingdom

Staffordshire University is a university in Staffordshire, England. It has two main campuses based in the city of Stoke-on-Trent and in the county town of Stafford, with other campuses in Lichfield and Shrewsbury. Wikipedia.

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Agency: European Commission | Branch: FP7 | Program: CP-FP | Phase: ENV.2011.1.2.3-2 | Award Amount: 4.52M | Year: 2012

Indications exist that close contact with nature brings benefits to human health and well-being. The proposed work will investigate the interconnections between exposure to natural outdoor environments, in both rural and urban settings, and better human health and well-being in the North West, South and East of Europe. The project will explore the underlying mechanisms at work (stress reduction/restorative function, physical activity, social interaction, exposure to environmental hazards) and examine the health effects (general health and well-being, mental health/neural development, stress, cardiovascular, cancer and respiratory mortality and morbidity, birth outcomes and obesity) for different population groups (pregnant women and/or foetus, different age groups, socio-economic status, ethnic minorities and patients). We will use conventional and new innovative high tech methods to characterize the natural environment in terms of quality and quantity. Preventive as well as therapeutic effects of contact with the natural environment will be covered. We will address implications for land-use planning and green space management. The work will produce more robust evidence base on links between exposure to natural outdoor environment and human health and well-being, and a better integration of human health needs into land use planning and green space management in rural as well as urban areas.

Davies S.J.,Staffordshire University
Nature Reviews Nephrology | Year: 2013

Peritoneal dialysis is now a well established, mature treatment modality for advanced chronic kidney disease. The medium term (at least 5 year) survival of patients on peritoneal dialysis is currently equivalent to that of those on haemodialysis, and is particularly good in patients who are new to renal replacement therapy and have less comorbidity. Nevertheless the modality needs to keep pace with the constantly evolving challenges associated with the provision and delivery of health care. These challenges, which are gradually converging at a global level, include ageing of the population, multimorbidity of patients, containment of cost, increasing self care and environmental issues. In this context, peritoneal dialysis faces particular challenges that include multiple barriers to the therapy and unsatisfactory and poorly defined technique survival as well as limitations relating to intrinsic aspects of the therapy, such as peritoneal membrane longevity and hypoalbuminaemia. To move the therapy forward and favourably influence health-care policy, the peritoneal dialysis community needs to integrate their research effort more effectively by undertaking clinically meaningful studies-with a strong focus on technique survival-that are supported by multidisciplinary expertise in patient-centred outcomes, study design and analysis. © 2013 Macmillan Publishers Limited. All rights reserved.

Ward A.B.,Staffordshire University
European Journal of Neurology | Year: 2012

Background: Spasticity occurs after stroke and gives rise to substantial burden for patients and caregivers. Although it has been studied for many years, its definition continues to undergo reconsideration and revision. This partly reflects the diversity of its manifestations and that its pathophysiology, although well studied, is still debated. Methods: A literature review was carried out to define the pathophysiology and risk factors for onset of post-stroke spasticity. Results: It is clear that an acquired brain injury, including stroke, results in an imbalance of inhibitory and excitatory impulses that leads to upper motor neuron symptoms and that the location and extent of the lesions result in differing symptoms and degrees of spastic severity. The onset of spasticity is highly variable and may occur shortly or more than 1year after stroke. The current understanding of spasticity onset is complicated by the role of contractures, which have been assumed to arise out of spasticity but may have a role in its cause. Other possibly predictive factors for the risk of post-stroke spasticity have been identified, including early arm and leg weakness, left-sided weakness, early reduction in activities of daily living, and a history of smoking. Conclusions: Further understanding of spasticity risk factors is necessary for the development and integration of early interventions and preventive measures to reduce spasticity onset and severity. © 2011 The Author(s). European Journal of Neurology © 2011 EFNS.

Agency: European Commission | Branch: H2020 | Program: MSCA-IF-EF-ST | Phase: MSCA-IF-2015-EF | Award Amount: 183.45K | Year: 2017

The examination of physical evidence and the environment in which it is found remains pivotal in the investigation of crime. There has also been a greater appreciation in recent years of the role of archaeologists in forensic contexts where buried or concealed evidence exists. However, recording techniques in forensic archaeological work, and in crime scene investigation in general, essentially remain focused on traditional means of documenting, sketching and photographing environments. These techniques can be laborious and they do not provide data outputs suitable for presentation in Court to non-experts. A number of novel, digital non-invasive methods which have the potential to increase search efficiency and accuracy, permit access to difficult and/or dangerous environments, create a more accurate record of buried or concealed evidence and provide more effective means of presenting evidence in Court. In order to develop and apply novel digital recording methods and 5D, 4D and 3D modelling techniques for use by forensic archaeologists and crime scene investigators, the Dig For-Arch project is proposed. This project will aim to change the way in which buried and concealed evidence is analysed at crime scenes through these new techniques and through an associated programme of training and support for specialists and professionals working in this area. The Dig For-Arch project will offer the opportunity for the Experienced Researcher to engage in a new field of study (forensic science and forensic archaeology), thus diversifying his portfolio of work and offering new trajectories for his future career. The new field in which he will be working will benefit from his extensive expertise developed in other areas and from the cross-sector/cross-disciplinary expertise of the wider project group. Little has been published on digital recording of crime scenes and therefore the creation of new protocols tested in the field is highly recommended.

Agency: GTR | Branch: Innovate UK | Program: | Phase: Knowledge Transfer Partnership | Award Amount: 72.60K | Year: 2015

To develop an advanced data analytics platform for predictive analysis of data generated from customer transactions within Micro Markets; improving data capture and business insight to increase sales and profitability.

Agency: GTR | Branch: Innovate UK | Program: | Phase: Knowledge Transfer Partnership | Award Amount: 26.32K | Year: 2015

To address new markets and supply larger volumes to OEMs and Tier 1, EMC compliance will require a ISO9001 and design update including PCBs.

Agency: GTR | Branch: Innovate UK | Program: | Phase: Knowledge Transfer Partnership | Award Amount: 35.39K | Year: 2016

To embed an innovative business intelligence platform into the company and its 4,000 trade customers to improve inter company communication and strategic decision making.

Agency: GTR | Branch: Innovate UK | Program: | Phase: Knowledge Transfer Partnership | Award Amount: 72.60K | Year: 2016

To develop an intelligent mobile device routing system to collect global data and use predictive analytics to identify the most profitable routs for devices, drive purchasing strategy and use AI - machine learning to identify new market opportunities

Agency: GTR | Branch: Innovate UK | Program: | Phase: Knowledge Transfer Partnership | Award Amount: 113.90K | Year: 2015

To establish an holistic test development environment enabling design engineers to create and end users to execute test procedures on leading-edge automotive powertrain management systems for remanufacture.

Staffordshire University | Date: 2014-03-07

Sample Collection Apparatus A sample collection apparatus is disclosed. The sample collection apparatus comprises an elongate outer casing having an insertion end and a withdrawal end. The sample collection apparatus further comprises a sample collection device within the outer casing. The apparatus is moveable between an undeployed configuration in which the insertion end is closed and a deployed configuration in which the insertion end is open wherein the sample collection device is extendable through the insertion end of the outer casing in the deployed configuration.

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