A CANADIAN POLICY ANALYST'S PERSPECTIVE

Agricultural and Food Policy,

Gauged Lie-Poisson structures

A global formula for Poisson brackets on reduced cotangent bundles of principal bundles is derived. The result bears on the basic constructions for interacting systems due to Sternberg and Weinstein and on Poisson brackets involving semi-direct products for fluid and plasma systems. The formula involves Lie-Poisson structures, canonical brackets, and curvature terms

Circulatory, respiratory and metabolic changes at the start of exercise

Imperial Users onl

Beef : meating the market

Nearly half of Western Australia\u27s beef production is consumed on the domestic market, but the scene is changing rapidly. In this article Greg Sawyer, Richard Morris and Geoff Tudor review information on production systems performance, and carcase and quality measurements that may well serve wider market opportunities in the future

Gwerthusiad o gyfraniad cwrs B.Add. mewn-swydd y Coleg Normal i ddatblygiad proffesiynol athrawon

SIGLEAvailable from British Library Document Supply Centre- DSC:DX91482 / BLDSC - British Library Document Supply CentreGBUnited Kingdo

Extending Science lessons with Virtual Reality

The Open University, Field Studies Council and Association for Science Education are conducting research into the use of Google Expeditions and other virtual reality tools to a) augment and extend field work experiences; and b) as an additional tool in the classrooms along with resources such as videos, photographs. The following aspects were discussed in this workshop: Does the virtual reality technology improve student engagement, and what are the implications for teachers? Think of one of the difficult concepts in Science: How could Google Expeditions (or Virtual Reality, in general) help you to teach that concept? How would you use Google Expeditions to encourage inquiry-based learning? What are the challenges that you would face in integrating Google Expeditions in your curriculum

Data Analytics Service Composition and Deployment on IoT Devices.

Machine Learning (ML) techniques have begun to dominate data analytics applications and services. Recommendation systems are the driving force of online service providers such as Amazon. Finance analytics has quickly adopted ML to harness large volume of data in such areas as fraud detection and risk-management. Deep Neural Network (DNN) is the technology behind voice-based personal assistance, self-driving cars [1], image processing [3], etc. Many popular data analytics are deployed on cloud computing infrastructures. However, they require aggregating users’ data at central server for processing. This architecture is prone to issues such as increased service response latency, communication cost, single point failure, and data privacy concerns.Thiswork is funded in part by the EPSRC Databox project (EP/N028260/2), NaaS (EP/K031724/2) and Contrive (EP/N028422/1)

Google expeditions and fieldwork: friends or foes?

Google Expeditions is a Virtual Reality (VR) approach being promoted by Google in schools globally. Google Expeditions are guided tours (field trips) of places that students experience on a smartphone through a virtual reality viewer called Google cardboard. The Open University (OU), UK are conducting a school-based research project (funded by Google and the OU; July 2016 - June 2017) on the potential use of VR via Google Expeditions in secondary school science and geography. The project is being co-led by Field Studies Council, and UK's Association for Science Education and Geographical Association are the two partnering organisations. This workshop provided an opportunity to try out Google Expeditions and to explore how they could be used to support teaching and learning, including fieldwork. Are Google Expeditions a threat to traditional field trips or could they become a complementary tool for strengthening the quality of outdoor learning, for example by providing an immersive technology which adds context and substance to pre-field preparation, in-field activities and post-field revision and reflection

Influence of atmospheric moisture on the corrosion of chloride-contaminated wrought iron

Wrought iron with a remaining metallic core recovered from marine and terrestrial archaeological contexts is unstable and has the potential for further corrosion after recovery or excavation. Where metallic iron remains within the object, it deteriorates as crystals of new, chloride-bearing, corrosion products form at the metal/corrosion interface, resulting in the loss of overlying corrosion. This is undesirable, for the information on the form of the original, uncorroded, artefact is commonly found within the overlying corrosion which is detached. A mechanism for this type of deterioration, based upon the retention of chloride counter-ions as part of the electrochemical corrosion process, was identified by Turgoose (1982) for archaeological iron and his research has informed the storage of chloride-contaminated wrought iron in museum collections ever since: Iron corrodes in the presence of ferrous chloride tetrahydrate but not its dihydrate. Precise data for the relative humidities at which these respective hydrates are stable, and at which iron in association with ferrous chloride corrodes, has been produced by the research presented in this thesis. The role of a commonly encountered chloride-bearing oxidation product of ferrous chloride tetrahydrate, pFeOOH (akaganeite), in the deterioration of wrought iron, and its relationship with atmospheric moisture, were also investigated. Corrosion of iron was observed at relative humidities as low as 22%RH in the presence of ferrous chloride and as low as 15%RH in the presence of unwashed pFeOOH. The effect of temperature on transitional RH values was demonstrated. The results of this research enable informed management decisions about environmental parameters for the storage of chloride-contaminated wrought iron recovered from maritime contexts and terrestrial archaeological contexts stored in museum collections