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Graz University of Technology

Graz University of Technology

7 Projects, page 1 of 2
  • Funder: UK Research and Innovation Project Code: EP/T01170X/2
    Funder Contribution: 21,008 GBP

    A Diophantine equation, named after the ancient Hellenistic mathematician Diophantus of Alexandria, is a polynomial equation in which all the coefficients are integers (whole numbers) or rational numbers (fractions). The most fundamental question, given a Diophantine equation, is whether it has a solution, that is a collection of integers or rational numbers which satisfy this equation. To decide whether a given Diophantine equation has a solution can be extremely hard, in spite of extensive mathematical machinery that was developed over centuries to attack these questions. A famous example is Fermat's Last Theorem. Despite the relative simplicity of its statement that for any integer n greater than two, the sum of two positive nth powers can not be an nth power, a proof has eluded the efforts of mathematicians for more than 350 years. It has spawned numerous new developments and was finally completed by Andrew Wiles at the end of the 20th century. Equations define not just number theoretic, but also geometric objects. A particularly successful approach, developed in the 20th century, tries to investigate solutions to Diophantine equations via the corresponding geometric objects. The modern study of Diophantine equations using these geometric techniques is called arithmetic (or Diophantine) geometry. Another branch of number theory, in which UK mathematicians play a world leading role, is called additive combinatorics. One of the aims of this discipline is to understand subsets of the integers by decomposing them into structured and random looking parts, with the main challenge arising from the fact that this is usually not a clean dichotomy, but rather a full spectrum. Extremely fruitful connections between these two fields were initiated very recently by applying certain results and techniques from additive combinatorics to questions in arithmetic geometry, thus expanding our knowledge of Diophantine equations significantly. The central aim of this project is to enhance the impact of these techniques by making them available in a much wider context that is natural in arithmetic geometry.

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  • Funder: UK Research and Innovation Project Code: EP/R003866/1
    Funder Contribution: 1,123,550 GBP

    Driven by structural and functional abnormalities in the muscle of the heart, Heart Failure (HF) is a complex syndrome affecting around 900,000 people in the UK. HF results in a fundamental reduction in the ability of heart muscle to effectively pump and deliver blood to the body. While this deficiency in pump function is easily observed using medical imaging, dissecting the underlying cause of this reduced performance in terms of its implications for muscle structure and function remain open challenges. Further, predicting how disease will progress or respond to therapy remains an unmet need that would substantially improve patient care. Using state-of-the art biomechanical modelling, the "Adaptive, Multi-scale, Data-Infused Biomechanical Models for Cardiac Diagnostic and Prognostic Assessment" project will address these challenges by providing a modelling framework for assessment of the heart. Uniting measurements from microscopy, rheology, and medical imaging, this project aims to create biomechanical models that provide detailed information on the structure and function of the heart aiding diagnosis. Further, the platform will provide infrastructure for predictive modelling, simulating the response and adaptation of the heart over time. Biomechanical models will be systematically validated using animal heart models, providing rich data for understanding the biomechanics in vivo and ex vivo. The framework will, further, be directly translated through a novel study in patients with hypertrophic cardiomyopathy, providing a test bed for validation of predictive models of disease progression and response to therapy through virtual surgery.

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  • Funder: UK Research and Innovation Project Code: EP/K011685/1
    Funder Contribution: 106,730 GBP

    Living organisms construct a tremendous variety of structures across a range of sizes, from large bones to microscopic cell components in order to carry out their life processes. Despite this variation in size, the assembly of all of these objects ultimately relies on the generation of molecules that are nanometres in scale (a billionth of a metre, or 1/100,000th of the thickness of a human hair). These biological "building blocks", composed of compounds such as sugars and proteins are produced by enzymes, the molecular machinery of all living organisms. In order to generate these complex larger structures, living organisms have developed a range of methods for moving these enzymes to specific locations where the structures need to be formed. The ability to manipulate and study objects on nanometre scales is called nanotechnology, and is particularly interesting since at this size range, materials display new properties that are radically different from when they exist in their bulk form. By finding ways of harnessing these unusual properties, it is expected that they can be used to create entirely new types of technologies and devices. The basic idea of being able to move enzymes to particular locations as a means of controlling the construction of objects on this scale would therefore be extremely useful if it could be applied by us to assemble highly miniaturised devices, such as electronic components or circuits. Harnessing enzymes for this purpose is particularly appealing since they are able to conduct a wide range of chemical reactions very efficiently and generate few unwanted by-products. Furthermore, they function under mild conditions and do not rely on rare or toxic materials. In contrast, many of the current techniques used in nanotechnology are derived from the electronics industry are not only limited in the types of chemistry they can achieve due to the harshness of the conditions under which they operate, but are also very power consuming. Accordingly, the aim of this research project is to use enzymes that are able to promote the formation and deposition of materials to generate nanometre-scale patterns on a variety of surfaces. To achieve this aim, enzymes will be used together with an instrument called a "scanning probe microscope". This instrument uses miniature electrical motors to move a very sharp tip, the "probe" of the instrument, which is only a few nanometres wide. The instrument is also able to control the movement of this probe with nanometre precision. This ability to move and position the probe with such fine control makes it possible to use it to "write" patterns on surfaces. By attaching these enzymes to the tips of these probes, the chemical reactivity of the enzymes can be directed to deposit their materials as nanoscopic patterns. This new method of writing nanopatterns will be further facilitated by developing modified versions of these enzymes so that they will perform efficiently on a scanning probe. For example, they may be modified to deposit a wider range of compounds, or to be more resistant to damage so they may be used for a longer period of time before needing to be replaced. The materials that are produced will then be tested to determine their electrical properties so that they can then be applied for the construction of miniaturised electronic devices. Furthermore, experiments will be carried out using many scanning probes writing patterns simultaneously, which will demonstrate how this new method of nanofabrication could be used for the mass production of chemically complex miniaturised devices.

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  • Funder: UK Research and Innovation Project Code: BB/L026473/1
    Funder Contribution: 20,010 GBP

    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.

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  • Funder: UK Research and Innovation Project Code: BB/T020105/1
    Funder Contribution: 30,612 GBP

    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.

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