Dragon09/odtu_chatbot huggingface dataset:
emotional modelling to enhance learning in games

a un sustainable development goal is to ensure inclusive and equitable quality education and promote lifelonglearning opportunities for all the project results contribute to improving the future of education for all and havedirect scientific societal and technological impacts current education solutions are limited to a onesizefitsall paradigm unable to support diverse learning needs and contribute to learning exclusion and gender inequality stateoftheart soa gamebased learning environments gbles bring to bear capabilities that not only shatter physical barriers to education via digital learning but game mechanics built into gbles can be customized and adapted to support diverse learning needs game mechanics are important because they sustain learners engagement and interest in learning activities which elicit cognitive processes that water the seeds of learning still more research is needed to develop adaptive game mechanics to support diverse learning needs the mission of this research is to study interactions between game mechanics and emotions as a nonlinear dynamical system and observe the impact of such interactions between diverse learners cognition and learning outcomes with gbles in this european fellowship titled emotional modelling to enhance learning in games amelia we propose to conduct a mixed multimodal methods study to observe relations between game mechanic interactions and ingame emotions cognition and learning outcomes by collecting multiple data channels ranging from thinkaloud recordings to neurofunctional measures between gender dimensions amelia will be carried out at tampere university host with supervisor kristian kiili and cosupervisor manuel ninaus secondment at the university of graz amelia is implemented in collaboration with an international game company called psyon games
transitioning towards an efficient carbonneutral circular european industry

the need to approach climate action resource efficiency and circularity performance as integrated economywide crosscutting issues is growingly gaining attention in the policy world stimulating the development of new industrial policies in europe and worldwide currently however there is little progress in conceptualising the circular economy and understanding its interactions with climate action stateoftheart modelling capacity to capture the interplay of the two agendas and their implications for energyintensive sectors as well as to represent the european industrys transformation in line with the regions vision for climate neutrality is not yet fully developed transience will undertake a comprehensive characterisation and assessment of circularity principles and measures visvis decarbonisation by looking at the twin transition of european industries through the lenses of global competitiveness innovation and holistic sustainability it will then produce mic3 a consistent fully opensource model ecosystem to assess industrial circularity decarbonisation and sustainability a series of interoperable modules on the socioeconomic service and product material industrial energysystem and environmental perspectives of the transformation of european industry will be developed and integrated building on and opening the code of leading modelling tools mic3 will finally be used in extensive scenario modelling to produce diverse pathways toward a materialefficient circular climateneutral sustainable european industry transparency openness and knowledge sharing will be promoted and technical capacities will be developed in four industrial agglomerations in the eu moving beyond stakeholder consultation onto model codevelopment continuous validation of assumptions cocreation of scenario modelling evaluation of the desirability and usability of the developed model and insights and eventually coproduction of science and action
accelerating drug repurposing for rare neurological neurometabolic and neuromuscular disorders by exploiting similarities in clinical and molecular pathology

drug repurposing can fill an important gap for rare disease patient groups with large unmet medical needs in comparison to traditional drug development drug repurposing reduces the time and costs for drug development regulatory approval and market authorization yet we need to increase the efficiency of the drug repurposing pathway to provide broader access to new therapeutic modalities for larger groups of patients simpathics main objective is to accelerate drug repurposing for rare neurological neurometabolic and neuromuscular disorders simpathics main accelerating innovation is the simultaneous drug development for groups of patients with different genetic diagnoses but overlapping neurological symptoms and molecular pathomechanisms simpathics key outputs accelerating the drug repurposing pathway include standard operating procedures for culturing stem cellderived neuronal cell models with proven relevance for clinical symptoms and amenable to highthroughput drug screens new drug repurposing candidates with proven efficacy in advanced brainonachip and 3d brain organoid models as demonstrated by reversal of molecular biomarker signatures and cellular readouts associated with clinical symptoms designs of innovative basket clinical trials to which patients with different disorders are recruited utilizing and aggregating personalized clinical endpoints a training module for patients and patient organizations to empower them as drivers of the drug repurposing pathway blueprints for intellectual property strategies business models regulatory dossiers and patient access strategies developed in cocreation between all relevant stakeholders simpathics proofofconcept for the simultaneous development of repurposed drugs for multiple indications will show the path forward to development of personalized treatment opportunities for groups of rare disease patients in a cost and timeefficient manner
relaxed semantics across the data analytics stack

the relax european doctoral network aims to train a cohort of highly mobile and adaptable researchers to become experts in the design of scalable and efficient dataintensive software systems these experts will master the specific skill of navigating the semantics or correctness conditions of applications with the goal of enhancing scalability response times and availability working across the disciplinary specialisms of data science data management distributed computing and computing systems the fellows will develop knowledge of the broad issues underpinning data analytics systems the bespoke training programme fosters intellectual enquiry and combines technical and scientific research training with courses in innovation management and leadership the training network addresses a critical skills gap in data analytics expertise which needs urgently addressed to support innovation and employment in a fastgrowing european data economy the 14 partner organisations representing 8 countries will benefit firsthand through intersectoral collaboration and an open innovation model
computational cosmology and gravitational waves

the discovery of gravitational waves by the ligo and virgo collaborations opened a new window to the universe spacebased gravitational wave detectors such as the lisa mission enable an exciting opportunity using gravitational waves from the very early universe in the search for beyondthestandardmodel bsm particle physicsthe lisa science case identifies first order phase transitions as the most promising source of cosmological gravitational waves there are no phase transitions in the standard model and observation of a phase transition would be revolutionary a direct signal of bsm physics it is absolutely necessary to have accurate and reliable theoretical control of the gravitational wave production in bsm phase transitions in order to fully realize the science potential of the observationsthe overarching goal of cocos is to calculate for a given bsm theory the resulting gravitational wave power spectrum to 1020 accuracy this is more than an order of magnitude better than the current state of the art where accuracy is limited by uncertainties inherent in standard perturbative approaches in cocos these problems are avoided by using several novel and stateoftheart simulation techniquesa first order phase transition in the early universe proceeds through supercooling critical bubble nucleation and growth and collision of the bubbles bubbles cause pressure waves shocks and turbulence which remains long after the transition has completed and create gravitational waves in cocos the stages of the phase transitions are studied with innovative computational methods effective field theory approach which optimally combines perturbation theory and lattice simulations and stateoftheart viscous relativistic hydrodynamicsthe highluminosity lhc and lisa will be operational at the same time searching for complementary aspects of new physics the accuracy reached in cocos is necessary to fully utilize this synergy
development of a biomimetic prototype to reduce microplastics emissions

within erc starting grant mechevoinsect we have identified a new principle to filter small particles such as microplastics from water this filtration principle is used in a variety of organisms but one particular example the filtration used by suspension feeding fish is promising to filter diverse waste waters the idea of the poc suspensionflow is to transfer this principle to a filtration unit which can be used in all household washing machines to reduce global microplastics emissions suspensionflow will also serve to further patent relevant discoveries based on the filtration used by suspension feeding fish
building identity religious architecture and sacral landscapes of christian minorities in india and bangladesh

the cultural heritage associated with india and bangladeshs christian minorities remains understudied and its historical significance is often contested many of the countries medieval and early modern churches were built primarily for communities of newly converted christians that came from different regions and caste backgrounds and therefore carried corresponding identities even today many of south asias churches reflect these local identities and traditions with factors such as caste indigenous agency and cultural accommodation playing a role in their social and architectural history these contexts originated distinct regional architectural expressions in the countries six main christian ethnolinguistic communities east indians goans mangaloreans keralites tamils and bengalis however most scholarly work has addressed the design of these churches against the background of european artistic tendencies such as mannerism or baroque while local contexts and traditions have remained overlooked today as dominant groups assert hegemonic policies across south asia religious minorities face increasing challenges and their cultural heritage is oftentimes at risk many of south asias churches founded before ca 1800 have disappeared are in ruins or have been deeply transformed and there is a sense of urgency in documenting the churches that remain idscapes will produce a social history of the built environment of india and bangladeshs medieval and early modern churches and sacral landscapes uncovering the influences of diverse agencies identities and traditions on their overall design by producing knowledge on this body of architecture with indepth analysis providing vision for contested andor endangered sites the project will ascertain how churches are vital in framing the collective identities of christian minorities today thereby nurturing their resilience and contributing towards the diversity of south asias cultural heritage
alliance for research on cultural heritage in europe

the cultural heritage ch research and innovation ri landscape has changed significantly over the past few years new political technological and socioeconomic parameters put emphasis on improving protection conservation and restoration efficiency of european ch with green technologies as well as developing and further exploiting high quality digitisation open access and curation of digital assets the need also exists to enhance the innovation potential and competitive edge of the cultural and creative sector ccs to drive sustainable growth and job creation against global competitionresponding to these challenges the project will develop a pan european framework for a holistic approach to ch ri by creating the alliance for research on cultural heritage in europe arche a spearheading coordination network of researchers innovators heritage professionals institutional bodies and citizens the objective is to engage all ch actors in member states associated countries in the codesign of ri strategies and roadmaps that lead to ri initiatives requiring multidisciplinary approaches and skillsa detailed assessment of ri gaps and needs for the next decade will be the basis for designing a strategic research and innovation agenda sria for joint programming aiming to increase awareness of heritage and european sense of belonging a new purposebuilt governance structure will be proposed that will effectively involve existing networks and new partners from relevant scientific disciplines and industries it will also promote intensive and wideranging collaboration between cultural heritage the arts and the ccs the sria and governance structure will be tested in a pilot operation in the third and final yeararche will be a strong basis for a european partnership in ch by pooling developing and upscaling transnational collaboration on ch ri and by involving all stakeholders and funding mechanisms related to ch ri policy and action
nonperturbative greens function method to study electronphonon interactions in the strong coupling regime

a fundamental area of solid state physics is the study of electrons nuclei vibrations phonons and their interactions in crystals known as electronphonon interactions epis epis determine the temperature dependence of the bandgap and lead to conventional superconductivity among many other important phenomena epis are usually studied using lowest order perturbation theory which is only valid when the coupling is weak however strong epis have been reported in many key materials for example there is a huge gap renormalization of about 3 ev in highpressure hydrogen that makes it metallic and understanding metallic hydrogen is considered a substantial step towards understanding hightemperature superconductivity in hydrides research on the gap renormalization and temperature dependence of the gap of diamond is also very active with exciting possibilities in the development of leds for use in extreme environments like high temperatures however existing calculations are not well justified or perturbative approaches do not match experimental data in greennp we will study these and other effects due to epis using a rigorous nonperturbative adiabatic greens function approach that the experienced researcher er dr jean paul nery has recently developed strong assets of the project will be the use of firstprinciples as opposed to models and the inclusion of anharmonicities firstprinciple calculations will be implemented into one of the prime opensource packages of the community in collaboration with its renowned leading group at a nearby university and a secondment will be carried out with a specialist in anharmonicities by the end of the project through the study of elemental semiconductors and insulators there will be a clear understanding of the effects of strong epis in electronic properties the er will be taken to a leadership position in the field of epis and higherorder effects with excellent future career prospects
quantum bits with kitaev transmons

most mainstream approaches to quantum computing are limited by short qubit coherence times at a level that impedes the implementation of quantum error correction a truly viable approach to achieving fault tolerant computation and solving socially relevant problems thus requires inherently better qubits in this project we propose to realize a new type of qubit based on a hybrid between superconductors and semiconductors two leading platforms at this time the qubit will be engineered such that the states of this qubit are immune to most decoherence mechanisms currently limiting mainstream implementations of a quantum computer we plan to achieve this by encoding quantum information in a topologically protected system such a system will be engineered by creating arrays of quantum dots with superconducting coupling the so called kitaev chain in twodimensional electron gases 2degs embedding the kitaev chain in a transmon architecture will allow us to perform singlequbit and twoqubit operations using wellestablished controltechniques from the field of superconducting qubits combining these control elements with record long qubit coherence times we expect high gate fidelities beyond the state of the art the choice of using the 2deg platform naturally lends itself to scalability in the longer term and we plan to develop a clear roadmap for future scaling within the course of the project
electrostatic actuation of 2dmaterialsbased heterostructures for in situ twistronics

the discovery of superconductivity in twisted bilayer graphene in 2018 gave rise to twistronics twistronics is the study of how the reciprocal angle between layers of twodimensional materials can modify their properties twisted structures present a moir lattice and exhibit very different electronic behavior from nonconductive to superconductive which depends significantly on the angle between the layers to date several techniques have been developed to fabricate layered heterostructures with controlled rotation between the layers but the moir patterns have largely been static recent works have demonstrated the tuning of moir patterns by using the atomic force microscopy technique to rotate adjacent layers allowing to study the evolution of properties as the twist angle varies dynamic control of rotatable heterostructures will provide a relatively simple platform for exploring exotic quantum effects thanks to the observation of these phenomena a new playground will be created with disruptive technological repercussions from quantum computing to optoelectronics in 2dtwist i will develop a new technique that allows active dynamic and automated control of moir geometry in 2d heterostructures in a single device allowing more precise positioning and insitu twist of adjacent layers by electrostatic actuation thanks to this approach it will be possible to explore how emergent properties depend on moir geometry and to achieve controlled and uniform properties within a single device
forwarding development of novel somatosensory testing equipment in humans

the somatosense project aims to provide accurate automated and innovative tools to probe the human somatosensory afferent system and diagnose problems somatosensory information from the skin provides us with a continuous stream of information to allow us to interact efficiently with the world and to ground us in our bodies in somatosensory disorders there can be issues with one or more types of sensory afferent that can cause debilitating effects including pain currently somatosensory clinical tests are often applied manually can be painful and may not be specific enough to make rapid diagnoses this is a major and prevalent issue where there are hundreds of millions of people across the world who suffer with somatosensory disorders such as diabetic neuropathy which can have complex origins somatosense aims to create efficient nonpainful tests of somatosensation that would be highly beneficial to the clinic and for fundamental research this investigation is grounded in our indepth knowledge and skills in somatosensory research and technology development in two work packages wps we will explore novel tests of somatosensory function focusing on touch and including temperature mechanisms in wp1 we will make four small new devices that are easytouse yet will accurately test different aspects of touch eg the perception of brief touch moving touch airflow and wetness these will provide complex insights into somatosensory function and integration which cannot easily be tested with existing technology in wp2 we will develop a clinical microneurography system where multiple direct axonal recordings can be gained from human peripheral nerves to provide exquisite insights into neuronal function in patients these new devices will lead the way to individualized efficient diagnoses of somatosensory disorders thus addressing widespread social and economic issues
using passive acoustic monitoring methods to survey birds communities in biodiverse agricultural farmlands in the eu

the european unions biodiversity strategy for 2030 emphasizes the need to halt biodiversity loss driven by anthropogenic activities however to achieve this it is necessary to understand how those activities affect biodiversity so that evidencebased conservation interventions can be made therefore effective monitoring tools are needed that can be used to survey biodiversity changes over large spatial and temporal scales conventional monitoring tools based on expert field surveys are timeconsuming and expensive and therefore inappropriate for such largescale monitoring consequently researchers worldwide are increasingly turning their attention to new technologies when it comes to monitoring vocalizing animals such as birds which have been shown to be appropriate indicators of biodiversity researchers focus on the use of passive acoustic monitoring methods however further development of those methods is needed before conservation practitioners can use them widely and reliably in the field to monitor bird communities biomons main objective is to extend the current stateoftheart acoustic monitoring approaches through the novel use of machine learning techniques biomons overarching goal is to develop an innovative passive acoustic monitoring protocol that can be used to survey bird communities in biodiverse agricultural farmlands in the eu the eu is home to many species of which the persistence depends on lowintensity agricultural areas and consequently developing appropriate monitoring tools for those areas remains a key research priority the methods and monitoring protocol developed in biomon through the collaboration of the er a conservation biologist and the supervisor a machine learning expert have the potential to contribute to the objectives of the eus biodiversity strategy for 2030 and other related policies such as the common agricultural policy