Doctoral Training Partnerships: a range of postgraduate training is funded by the Research Councils. For information on current funding routes, see the common terminology at www.rcuk.ac.uk/StudentshipTerminology. Training grants may be to one organisation or to a consortia of research organisations. This portal will show the lead organisation only.

This is a project for higher education student and staff mobility between Programme Countries and Partner Countries. Please consult the website of the organisation to obtain additional details.

From a company in Ireland that is closely associated with a company north of London, earlier work was from a drop technology device, analyzing the liquid drop with laser light. There was a European project on pollution and water quality in rivers and lakes. There was a KTP project with a solar energy company. Now that device has developed to include liquids and also powders, pills and pastes. The data obtained is as if from a Raman spectrometer, so that such data spectra are to be managed very well here. Domains of application include agricultural food and drink sources, medical patient analysis, and a recently developed domain of application is forensics. Most data sources can start with Raman spectroscopy, and the objectives can be both what is examined and also the need to relate what is examined to other standards and required properties. Therefore the analysis can be linked to a cloud-based repository that is to contain standards in the domain of agriculture. One data source used is oil analysis. A further domain of application is forensics. A data source obtained has been for explosive threat detection. Other data sources will be obtained. It can be stated that the start of this work is preprocessing for Raman spectroscopy and then Artificial Intelligence in the both direct assessment and also comparative assessment. A both novel and unique ability now it the implementation developments using Python. The methodology used here will be an excellent basis for discussion with the companies mentioned above. With the device mentioned above, there are major advantages for applications in many domains and that is to include also the analytics in Python that can be named as innovative and effective and beneficial and important Artificial Intelligence here in many domains of application. 1

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

This research project will develop a theoretical framework for the composition and production of techno, a genre of electronic dance music (EDM). The research problem this project will address is the lack of research into the musical and production techniques that govern electronic popular music in general and techno specifically. Techno is consistently the highest selling EDM genre on Beatport and producing EDM is an activity pursued by millions of enthusiasts. The pandemic has increased the number of people writing their own electronic music at home using digital technology, but the techniques of advanced approaches to techno production remain the domain of a small number of professionals whose activities do not include to educate enthusiasts. Music theorists and musicologists have so far covered only a few isolated topics and explored fragmented specific examples of EDM production. The project consists of four principal objectives: identify a range of techniques, and map their hierarchical stratification, that professional artists use to produce techno tracks that are popular on the dancefloor and/or commercially successful; map the decision making process and creative strategies that can underlie the professional production of a techno track; organise the various musical aspects of techno production in a comprehensive theoretical framework; explore the affordances of spatialisation in techno production and performance. By employing musicological analysis, spectromorphological analysis, qualitative interviews and practice-led/based research to explore techno production praxis, this project will synthesise a theoretical framework that will make a significant contribution to the fields of record production, creative process studies, popular music studies and 21st century music practice. This theoretical framework will provide researchers and producers with powerful new understandings of popular music in general and techno production in particular.