Nottingham Trent University is a public university in Nottingham, England. It was founded as a new university in 1992 from Trent Polytechnic . Its roots go back to 1843 with the establishment of the Nottingham Government School of Design which still exists within the university today. It is one of the largest universities in the UK with around 28,000 students split over three different campuses.Nottingham Trent University was ranked in the number 700 and above category in the world by the QS World University Rankings. In 2008 The Complete University Guide named Nottingham Trent the "top post-1992 University" in the country. The university has "one of the best employability records of any university in England and Wales". It maintains close ties to over 6,000 businesses and 94% of students progress to full-time employment or further education within six months of graduating.The Guardian calls Nottingham Trent "the most environmentally friendly university in the country".In 2009 it was awarded the title of "the most environmentally friendly university in the UK", by The People & Planet Green League . Also since 2009, 100% of the university's electricity has been generated by renewable sources.The university has a strong research arm with, in 2008, 74% of the university's research considered of "international status" and "an impressive 8% ranked as world-leading". Wikipedia.
Nottingham Trent University | Date: 2015-04-09
The application provides a polypeptide comprising the sequence SLMTNLAAL, Ser 13 to Leu 21 of amino acid sequence shown in FIG. 1 or SEQ ID No 1, and having HLA-A2 haplotype binding activity, or a polynucleotide encoding said polypeptide. Vaccines containing the polypeptide or polynucleotides encoding the polypeptide are also provided.
Nottingham Trent University and University of Nottingham | Date: 2017-01-27
There has been a recent shift in cancer therapy from one size fits all to a personalized and tailored treatment for individual patients to increase efficiency and avoid unnecessary toxicity. This invention relates to a method of determining the prognosis and suitable treatment of cancer in a subject by measuring the level of expression of SPAG5. In particular, it relates to a method where high expression of SPAG5 in tumour cells correlates with aggressive tumors.
Nottingham Trent University | Date: 2017-02-15
The application provides a polypeptide comprising the sequence SLMTNLAAL, Ser 13 to Leu 21 of amino acid sequence shown in Figure 1 or SEQ ID No 1, and having HLA-A2 haplotype binding activity, or a polynucleotide encoding said polypeptide. Vaccines containing the polypeptide or polynucleotides encoding the polypeptide are also provided.
Nottingham Trent University | Date: 2017-06-14
A sleeve for mounting a prosthetic unit on a limb is formed in a knitted fabric comprising elastic yarns to allow circumferential extension of the sleeve to grip the limb. Adherent fibres are integrated within the fabric and exposed on the internal surface of the sleeve to provide additional grip. Such fibres can be silicone or silicone based yarns. An end of the sleeve is adapted to couple with a prosthetic unit. The knitted fabric may include yarns of restricted elasticity to limit longitudinal extension of the sleeve, and the elastic yarns and the yarns of restricted elasticity are typically located in discrete sections (2, 4, 6) of the sleeve. Such discrete sections will normally extend longitudinally in the sleeve. The knitted yarns at the end of the sleeve are normally bonded directly to a coupling element (8, 10, 12) for attachment to a prosthetic unit.
Agency: European Commission | Branch: H2020 | Program: CSA | Phase: ISSI-5-2014 | Award Amount: 3.99M | Year: 2015
NUCLEUS develops, supports and implements inclusive and sustainable approaches to Responsible Research and Innovation within the governance and culture of research organisations in Europe. A major goal of the transdisciplinary project will be to stimulate research and innovation which continuously reflects and responds to societal needs. In order to achieve a multifaceted and cross-cultural New Understanding of Communication, Learning and Engagement in Universities and Scientific Institutions, 26 renowned institutions from 15 countries, among them leading representatives of 14 universities, will collaboratively identify, develop, implement and support inclusive and sustainable approaches to RRI. For a mutual learning and exchange process, the project will reach out beyond the European Research Area by including renowned scientific institutions in China, Russia and South Africa. Within a 4-year timeframe NUCLEUS will systematically uncover and analyse structural and cultural obstacles to RRI in scientific institutions. The partners will collaboratively develop innovative approaches to overcome these barriers. The project is expected to lead to an applicable RRI DNA, providing practical guidelines for higher education institutions and funding agencies across Europe and beyond. This DNA will form the basis for the NUCLEUS Living Network, an alliance to ensure sustainability of the approach beyond the project timeline. By offering new academic insights and practical recommendations derived from 30 RRI test beds, NUCLEUS will contribute to the debate on science policies both on a national and European level, including the future design of HORIZON 2020 and the European Research Area (ERA).
Agency: European Commission | Branch: H2020 | Program: IA | Phase: SCC-01-2014 | Award Amount: 23.79M | Year: 2015
REMOURBAN aims at the development and validation in three lighthouse cities (Valladolid-Spain, Nottingham-UK and Tepebasi/Eskisehir-Turkey) of a sustainable urban regeneration model that leverages the convergence area of the energy, mobility and ICT sectors in order to accelerate the deployment of innovative technologies, organisational and economic solutions to significantly increase resource and energy efficiency, improve the sustainability of urban transport and drastically reduce greenhouse gas emissions in urban areas. The urban renovation strategy will be focused on the citizens, because they become the cornerstones to making a smart city a reality and will not only be the most affected by the improvements but also they will be the common factor of each of them. HOW THE OBJECTIVE WILL BE ACHIEVED 1. Developing a sustainable urban regeneration model, considering a holistic approach, which supports the decision making of the main stakeholders for addressing wide renovation and city transformation processes. 2. Validating the urban regeneration model by means of large scale interventions on several cities called lighthouse cities, Valladolid, Nottingham and Tepebasi/Eskisehir (more than 1.000 dwellings retrofitted, more than 190 EV deployed and a total investment higher than 14 M). 3. Guaranteeing the replicability of the model at European level. Two cities will be also involved in the consortium, called follower cities, Seraing (Belgium) and Miskolc (Hungary) and will be developed a procedure for assessing the replicability potential of the model. 4. It is planned an intense activity focused on generating exploitation and market deployment strategies to support the commercial exploitation of the project outcomes. 5. It will be deployed a powerful communication and dissemination plan. This plan will integrate a citizen engagement strategy and will disseminate the benefits of the project to a wide variety of audiences (more than 11.000 citizens engaged).
Agency: GTR | Branch: Innovate UK | Program: | Phase: Collaborative Research & Development | Award Amount: 828.36K | Year: 2016
This joint initiative between GE, the University of Warwick and the University of Nottingham is focusing on innovation in the field of marine energy and power systems. The consortium draws on key strengths i.e. GE’s UK engineering talent, Whetstone testing and Rugby manufacturing facilities combined with University of Warwick’s expertise with motors and University of Nottingham’s analytics. The project’s outcome is an optimised electric system with DC architecture, energy storage and high power-density motor with innovative cooling to benefit major naval programmes, both in the UK and abroad.
Agency: European Commission | Branch: H2020 | Program: IA | Phase: ICT-20-2015 | Award Amount: 7.62M | Year: 2016
The MaTHiSiS learning vision is to provide a product-system for vocational training and mainstream education for both individuals with an intellectual disablity and non-diagnosed ones. This product-system consists of an integrated platform, along with a set of re-usable learning components (educational material, digital educational artefacts etc.), which will respond to the needs of a future educational framework, as drawn by the call, and provide capabilities for: i) adaptive learning, ii) automatic feedback, iii) automatic assessment of learners progress and behavioural state, iv) affective learning and v) game-based learning. To achieve these educational innovative goals, the MaTHiSiS project will introduce a novel methodology in the education process. The so-called learning graphs which, acting as a novel educational structural tool and associated with specific learning goals, will foster novel ways to guide how the different learning material and artefacts can be deployed throughout a prespecified learning scenario. The building materials of these graphs are drawn from a set of Smart Learning Atoms (SLAs) which will constitute the vertices of the graphs. SLAs are learning elements that carry stand-alone pieces of learning materials, targeting certain problems. More than one SLAs, working together on the same graph, will be able to help individuals reach their learning/training goals. The learning goals as well as the SLAs involved will be decided and pre-agreed based on common practices, goals derived from formal and non-formal education (general education, vocational training, lifelong training or specific skills learning) as well as learners own goals (so as to equally serve in-formal education contexts).
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: SC1-PM-21-2016 | Award Amount: 5.90M | Year: 2017
The overall research objective of the SPICES project is to implement and evaluate a comprehensive CVD prevention and control program in five settings: a rural & semi-urban community in a low-income country (Uganda), middle income (South Africa) and vulnerable groups in three high-income countries (Belgium, France and United Kingdom) as well as to identify and compare the barriers and facilitators across study contexts. The project will be evaluated using a mix of formative assessments; pre/post and trial designs. At the beginning of the project, we will conduct baseline assessments including literature reviews, formative studies, household surveys (where feasible) and learn lessons from other projects to understand healthcare and lifestyle practices, barriers, and facilitators. A cost-effectiveness and cost benefit analysis will be included. In addition, the teams will conduct site exchanges visits to learn from each other and organise policy dialogues to ensure sustainability and maximise impact of the interventions. The implementation outcomesacceptability, adoption, appropriateness, feasibility, fidelity, implementation cost, coverage, and sustainability will be evaluated in order to understand the factors affecting the implementation, the processes, and the accruing results. The intervention of the SPICES project will aim to: (1) improve patients risk profiles (LDL-cholesterol, blood pressure, HbA1c (among patients with diabetes), modify lifestyles (diet and exercise and smoking cessation) and achieve recommended cholesterol, blood pressure and glycaemic control targets; (2) increase proportion of patients receiving appropriate BP, cholesterol and diabetes medication; (3) and mitigate the number of people developing complications such a stroke and myocardial infarction.
Agency: GTR | Branch: EPSRC | Program: | Phase: Research Grant | Award Amount: 172.96K | Year: 2017
Complex metal and polymer substrates produced in a digitised additive layer manufacturing workflow will be subjected to a new value adding digititised additive layer Flexomer process flow to improve the performance of current devices and enable entirely new high value products and sub-components. Composite, multi material elastomeric structures will be built up layer by layer on additively manufactured complex geometrical parts by accurate manipulation of deposition sources and substrates with computer controlled 6 axis robot arms and multi-axis work piece holders. Initial focus will be elastomeric structures which enhance osseointegration whilst providing potent antimicrobial function. Follow on applications will be new world components in space & aerospace, semiconductor equipment, sensors and instrumentation.... Flexomer materials developed from perfluoroelastomer will be tuned at their different stages in the digitised manufacturing workflow using high quality analytical tools. Fluids will be characterised using both rotational and extensional shear rheometry to build up the knowledge which relates particulate type and concentration in Flexomer fluids to the quality of the layer-by-layer deposition. Bond strengths of the additive layer Flexomer materials to the modified surface of additive layer substrates will be assessed using Instron peel testing equipment. Surface modification will be assessed using automated microabrasive powder blasting and high energy laser processing. The academic research team will assess two types of layer by layer deposition heads for highly accurate deposition of three dimensional structures. Firstly microsyringing will be optimised to define build Flexomer lines a fine as 0.1mm wide and microjetting will be optimised to create dots of 0.2mm diameter The aim of the research will be to help establish a UK owned digitised manufacturing technology which produces advanced additive layer elastomeric structures on high value additive layer components seamlessly. The design of the workflow will allow customer from different sectors to submit job files in established formats, interface with the workflow to determine type and location of the elastomeric additive layer structures, and commit to either free issue supply of additive layer substrates to the workflow or purchase full workflow manufacturing of advanced high value components. Global medical devices manufacturers pursuing next generation anatomically matched functional implants for human and veterinary will be the immediate commercial beneficiaries of the new digitised additive manufacturing workflow. The ultimate beneficiary will be the patients receiving implants with much reduced post implant complications.