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The University of Nottingham (UoN) has been at the forefront of research into intramammary infections during the non-lactating (dry) period in dairy herds. This research, disseminated through presentations to key stakeholders and veterinary textbooks, has changed clinical and farmer practices as evidenced by international disease/welfare reports, national control programmes and increased use of non-antibiotic teat sealants. The work has culminated in the launch of a novel software tool that uses the research findings to provide a farm-specific decision aid, which benefits the business activities of dairy farmers and improves animal health and welfare.
Interdisciplinary research at the Royal Veterinary College (RVC) has provided core evidence on which global efforts are based in order to eradicate one of the most economically damaging diseases of the cattle industry. The research findings have helped steer national programmes to eradicate Bovine Viral Diarrhoea (BVD) across Europe, South Asia and Australasia, reducing economic losses. Professor Joe Brownlie has additionally led pilot programmes in the UK, providing data for a national scheme, campaigned widely to highlight the issue and secured farming industry awareness and support through media exposure.
The use of non-steroidal anti-inflammatory drugs (NSAIDs) for their pain-relieving properties in cattle medicine has lagged behind that of other species (e.g. companion animals) where analgesic use is now routine. University of Nottingham (UoN) research exploring the attitudes of vets and farmers to the use of NSAIDs in cattle, and subsequent marketing by Boehringer Ingelheim, a multinational pharmaceutical company, has led to a substantial increase in analgesic use. UoN research increased sales for Boehringer Ingelheim and almost doubled the UK market value of NSAIDs for use in cattle. With administration of up to 2 million additional doses per year, the research had clear benefits for animal welfare.
Impact: Economic / animal health and welfare: Established health schemes to control Bovine Viral Diarrhoea (BVD) on Scottish farms and subsequently underpinned the rationale for cost-effective control strategies that have been adopted in health schemes around the UK. The farm-level savings to the industry from future eradication are estimated by Scottish Government to be £50- £80m.
Significance: BVD is a major endemic disease of cattle in Scotland costing the dairy industry about £38M per year and an additional £11M to consumers.
Beneficiaries: Farmers, cattle, animal health authorities.
Attribution: Professors Gunn and Stott (SRUC).
Reach: The associated health schemes began in Scotland (HI Health) and now operate throughout Britain (UK CHeCS (Cattle Health Certification Standards) Health Scheme). The research underpins BVD control schemes in Ireland and other EU Member States resulting in an avoided output loss of between €500 to €4,000 per dairy farm per year.
Model Predictive Control (MPC) is a controller design methodology involving on-line dynamic optimisation of a user-defined objective. The research of Prof. D.Q. Mayne FRS and his colleagues at Imperial College has resulted in the first MPC algorithms capable of dealing with both linear and nonlinear systems and hard constraints on controls and states, thus making MPC a viable technique for industrial applications. His research in linear and nonlinear MPC has been exploited by multinational companies such as Honeywell and ABB. Evidence of impact is found in: 1) ethylene production by Basell Polyolefins GmbH resulting in economic benefits in millions of dollars annually; 2) Sinopec's JinShan power plant efficiency, reducing fuel consumptions of 500 tons of coal and 1,700 tons of coke per annum; 3) automotive powertrain design creating new business for Honeywell (based on OnRAMP design suite); 4) ABB's cpmPlus Expert Optimizer tools used for cement manufacturing, affecting companies such as Untervaz (Switzerland), Lägerdorf (Germany) and Buzzi (Italy); 5) ABB's BoilerMaz system for optimising boiler start-up mechanism resulting in energy savings per start-up of around 15%.
A novel, reliable, non-invasive and rapid method has been developed to detect excretion of Mycobacterium bovis, the causal agent of bovine tuberculosis (bTB), into the environment ("shedding") by wildlife hosts. This test has been used to establish the efficacy of the bTB vaccine on reducing environmental contamination by shedding of M. bovis in the faeces (from January 2010). It has also become an important monitoring tool used by VisaVet (European Veterinary Health Surveillance), targeting bTB in wild boar and red deer (from July 2010) to establish bTB reservoirs and take action to protect the cattle stocks. Farmers will benefit and now be able to monitor environmental contamination by M. bovis, which allows them to establish biosecurity best practice.
The method includes both a presence/absence score and a quantitative assay of infectious disease load in faecal matter in the environment. This is the first standard assay to determine environmental contamination, the main route for disease spread to cattle, and allows evaluation of the impacts of vaccination, culling and increased movement of badgers during disease- management strategies. This test also enables precise monitoring of cattle herds infected with bovine tuberculosis (bTB) as it advances from the South West to the North East of England.
Collaborations funded through EPSRC Interact and RCUK UK-China Science Bridge resulted in QUB's advanced control research having important economic and environmental impact in China, Pakistan, Vietnam. This includes the creation of new core modules for the Shanghai Automation Instrumentation Co (SAIC) SUPMAX Distributed Control System series of products now in use for whole plant monitoring and control to maximise energy efficiency and reduce pollutant emissions. These products have since 2008 increased SAIC's revenue by over $50M p.a. Related networked monitoring technologies have been successfully deployed in Baosteel's hot-rolling production lines and in the Nantong Water Treatment Company that treats 20,000 tonnes of industrial waste water daily.
Research by Amol Sasane and co-authors is the foundation of an invention patented and used by the aerospace company Boeing to design flight control systems. The invention is a method which aims to optimize aerodynamic performance of aircraft, thereby improving fuel efficiency and flight safety.
Sasane and his co-authors' research is explicitly mentioned as having been used to overcome a problem in flight control — one that arises in newer, more sophisticated aircraft designs — in Patent no. US 8, 185,255 B2, 'Robust control effector allocation'.
Impact: Economics, policy, animal and human health: In 2006, SoS (a Public Private Partnership-PPP) was established involving: University of Edinburgh, a pharmaceutical company, a charity, and the Govt. of Uganda to control sleeping sickness by eliminating Trypanasome carriage in cattle. The prevalence of trypanosomiasis has been reduced by 75% and sleeping sickness cases have fallen year on year since the PPP was established and Uganda has received a cost benefit between US$125 and $400M
Beneficiaries: The Ugandan population, Ugandan Cattle population.
Significance: Sleeping sickness, which is difficult to diagnose and treat in humans, is often fatal. Ten million Ugandans are at risk from sleeping sickness. SoS established a veterinary network in Uganda producing
Attribution: Professor Welburn (University of Edinburgh, UoE) founded SoS and developed essential diagnostic techniques.
Reach: SoS provides a model for the elimination of the disease across sub Saharan Africa in an economically sustainable fashion - with over 22 million people at risk.
Newcastle University has a substantial background in researching novel control methods for electric motors. This case study concerns the impact that our work on sensorless control systems has had upon Dyson consumer products.
One of our sensorless control schemes has been adopted by Dyson for their vacuum cleaner drive systems offering benefits of ruggedness, flexibility and being inexpensive to implement, leading to reduced production costs and improved ergonomics derived from the ability to eliminate bulky sensor components and separate control electronics from the motor.
Dyson has invested £5M in a new production line for products using this sensorless control system which have production volumes of around 5 million units per annum. The Company estimates the cost savings accruing from the use of our designs at around £2M per annum.