The human genome is over 3 billion nucleotides long, yet only 1,5% of it codes for proteins. In recent years, a striking number of regions of the genome have been discovered to be capable of being transcribed and translated into short polypeptides. These micropeptides comprise of less than 100 amino acids and to date, more than 160 000 different micropeptides have been catalogued within human tissues. These protein products are hypothesized to participate in numerous molecular, cellular and physiological processes, yet the function of but a few micropeptides has been identified. Subsequently, due to its largely unknown functionality, the micropeptidome is commonly overlooked during genomic studies. Due to increasing life expectancy and detrimental lifestyle habits, the European population can be considered to be a high-risk population for cardiovascular diseases, which cause millions of deaths per annum, while taking a tremendous financial toll on the regional economy. GENOMEPEP aims to pinpoint novel micropeptides participating in the pathogenesis of cardiovascular diseases by investigating the genetic variation within the micropeptidome-encoding genome in correlation to existing common cardiovascular phenotypes in population. This will be achieved by establishing a computational analysis pipeline based on biometric, genotype and health records data available within the Estonian and Finnish biobanks. The identification of novel pathogenic genes and the development of guidelines to investigate the micropeptidome would assist in the advancement of research, diagnostic medicine and pharmacology both in public and private sectors. The results of GENOMEPEP will address the CVD research aspect highlighted in “Societal Challenge 1” work program of Horizon 2020, as well as improve other research priorities set by Horizon 2020, e.g. the progression of personalized medicine and support the decrease of economic burden by healthcare.
Business processes are the operational backbone of modern organizations. Their continuous improvement is key to the achievement of business objectives, be it with respect to efficiency, quality, compliance, or agility. Accordingly, a common task for process analysts is to discover and assess process improvement opportunities, i.e. changes to one or more processes, which are likely to improve them with respect to one or more performance measures. Current approaches to discover process improvement opportunities are expert-driven. In these approaches, data are used to assess opportunities derived from experience and intuition rather than to discover them in the first place. Moreover, as the assessment of opportunities is manual, analysts can only explore a fraction thereof. PIX will build the foundations of a new generation of process improvement methods that do not exclusively rely on guidelines and heuristics, but rather on a systematic exploration of a space of possible changes derived from process execution data. Specifically, PIX will develop conceptual frameworks and algorithms to analyze process execution data in order to discover process changes corresponding to possible improvement opportunities, including changes in the control-flow dependencies between activities, partial automation of activities, changes in resource allocation rules, or changes in decision rules that may reduce wastes or negative outcomes. Each change will be associated with a multi-dimensional utility, thus allowing us to map a process improvement problem to an optimization problem over a multidimensional space. Given this mapping, PIX will develop efficient and incremental methods to search through said spaces in order to find Pareto-optimal groups of changes. The outputs will be embodied in a first-of-its-kind tool for automated process improvement discovery, which will lift the focus in the field of process mining from analyzing as-is processes to designing to-be processes.
A breakthrough in economically viable efficient energy conversion has been long waited, with fuel cell technology being a promising candidate. Recently, tubular Solid Oxide Fuel Cells (SOFCs) have received increased attention due to possibility to shorten start-up times, reduce material losses and lower costs of fuel cells. In order to reach sufficient volumetric power density, decrease working temperature and reduce costs, the diameter of the SOFC tubes has to be reduced at least an order of magnitude, compared to state of the art (at or above 1 mm). In the recent years, the hosting group of the project has demonstrated fabrication of yttria-stabilized zirconia (YSZ) microtubes with diameters <100 µm and tested their viability for use as an electrolyte in microtubular SOFCs. The FIMS project is focused on innovative development of controllable YSZ microtube fabrication methods and subsequent use of the microtubes in construction of a SOFC stack to prove commercial potential. A method for fabrication of optical quality fluorescent microtubes with controlled dimensions (diameter <100 µm, wall thickness 5-10 µm) and facile structural defect detection with optical techniques will be realized. Porous electrode deposition on the microtubes will be refined and a microtubular electrolyte supported pilot SOFC stack will be constructed and characterized. The target of FIMS is to promote transfer of knowledge through training and career development of the Fellow in the multidisciplinary field of SOFC technology, in order to re-enforce professional maturity and independence of the Fellow. Two secondments – academic and industrial – further improve the training and collaboration network of a young scientist. The project will have positive impact on the Fellow's career progress towards becoming a leading researcher, and supports enhancement of environmental protection and sustainable resource use.