Dragon09/odtu_chatbot huggingface dataset:
towards gemini a generation of multiscale digital twins of ischaemic and haemorrhagic stroke patients

gemini aims to deliver validated multiorgan and multiscale computational models for treatment decision support and improved fundamental understanding of acute strokes both ischaemic and haemorrhagic we will demonstrate the added benefit of these computational models in personalised disease management specifically gemini will deliver validated integrated multiscale multiorgan digital twin in healthcare dth models for cerebral blood and cerebrospinal fluid flow brain perfusion and metabolism and blood flow and thrombosis along the heartbrain axis by integrating available and newly developed dynamic interoperable and modular computational models building on these models gemini will deliver validated populationbased dths of ischemic and haemorrhagic stroke aetiology and onset treatment and disease progression utilising these populationbased dths gemini will validate five personalised subjectspecific dths 1 stroke treatment and 2 disease progression dths for acute ischaemic stroke and 3 aneurysm treatment 4 subarachnoid haemorrhage progression and 5 unruptured intracranial aneurysm risk assessment dths for haemorrhagic stroke to guide patient care and longterm management we will bring proof of value of digital twins by the evaluation of the ischaemic stroke treatment selection dth in a multicentre clinical trial in which treatment and patient outcomes are compared in situations with and without the availability of a dth gemini will implement a projectwide structured approach for data harmonisation curation model validation verification and model certification of the dths several outcomes of gemini have a high value for clinical practice medical device industry and in enhancing research in the fields of biomedical and computer sciences warranting an extensive valorisation strategy with adequate ip protection and versatile exploitation actions to enhance a wide adaptation of the results of gemini
a quantum chemical approach to dynamic properties of real materials

computational materials science using ab initio simulations and highperformance computing is expected to play a key role in realizing the vision of materials by design however the goal to discover gamechanging materials with scientific and industrial relevance requires highly accurate ab initio methods for excited state as well as ground state properties of atoms molecules and solids so far due to the computational complexities involved methods with systematically improvable accuracy for condensed matter systems such as coupledcluster theories are mostly limited to the study of ground state properties in the clampednuclei approximation this ambitious proposal aims at inducing a computational paradigm shift in the study of vibrational and optical properties of real materials by implementing a multitude of novel methods on the one hand we propose to reduce the computational cost of timedependent equationofmotion coupledcluster theory by several orders of magnitude compared to existing approaches on the other hand coupledcluster atomic forces will be implemented for machinelearning force fields in the gaussian approximation potentials framework together the proposed methods have the potential to achieve an unprecedented level of accuracy and system size for the prediction of a wide range of material properties including optical spectra and phonon frequencies we seek to employ the newly developed approaches to resolve a number of longstanding discrepancies between theoretical predictions and experimental findings for dynamic properties of defects molecular crystals and layered materials these carefully selected systems highlight key problems of currently available ab initio methods and novel approaches that go beyond the state of the art will have an enormous impact in all areas of physics chemistry and computational materials science
reducing natural gas needs and carbon emissions in industrial usage and transforming industry towards hydrogen with herc a novel plasmaassisted combustion pac technology

efenco is developing disruptive plasmaassisted carbonneutral combustion pa cnc technology for industrial heat production to achieve a whole new level of efficiency ghg emissions reduction in the burning of methane hydrogen their mixtures we address the gains pains of 1mw hightemperature process heat htph companies on their path to co2 neutralitywe introduce herc high energy ray ceramic disruptive innovation in fundamental physics materials technology herc chip is a robust reliable selfpowered device that initiates pa cnc in the combustion exhaust processes herc boosts burning efficiency by 18 lowers ghg emissions by 20 herc is designed to be fitted in existing industrial boiler systems to gain a higher return on assets lower opex we estimate that there are around 50000 suitable systems in the eu only with the potential to reduce co2 emissions by 1 mt a while opening a strong business opportunity of 1056m in revenue by the end of 2027
succinct cryptographic proof systems theory and practice

a proof system allows a power prover to convince a weak party the verifier of the validity of large computations proof systems are a powerful and versatile tool that is central to complexity theory and cryptography since their introduction they have led to breakthroughs such as the celebrated pcp theorem zeroknowledge proofs hardness of approximation and more the rise of cloud computing lockchain technologies and distributed computing have created a vast demand for practical implementations cryptographic proofs leverage the use of cryptographic primitives to gain efficiency benefits including succinct proofs with fast proving and verifying time suitable for practical implementations these days cryptographic proof systems maintain the integrity of blockchain networks securing trillions of dollars in transactionsthe goal of the cryptoproof project is to advance the efficiency of crytographic proof systems1 highsoundness for oracle proofs the query complexity of the verifier is the main bottleneck towards succinctness obtaining proof systems with polynomially small error and constant query complexity would resolve the fourdecadesold slidingscale conjecture and would have significant practical implications 2 improving the compilation efficiency cryptographic proof systems are usually obtained by compiling a proof system with several cryptographic primitives which yields crucial properties such as noninteractivity and succinctness that are required for most applications3 limitations limitations of proof systems and cryptographic proof systems are a scarce resource they build the boundaries of possibilities and guide us to new constructions beyond the above the end goal of the cryptoproof project is to design and implement a new cryptographic proof system with efficiency measures that surpasses the current stateoftheart
coastal carbon release driven by tidal meander migration

coastal carbon release is drawing escalating concern globally primarily because of its adverse effects on climate change mitigation and the pursuit of carbon neutrality driven by outer bank collapses tidal meanders frequently migrate across coastal landscapes revealing sediment layers that would otherwise remain concealed this exposed sediment is rich in organic carbon which is released back to the atmosphere upon oxidation despite the significance of this mechanism a notable research gap exists in linking coastal carbon release to the intricate dynamics of tidal meander migration tmm this void can be attributed largely to the challenges of accurately simulating tmm to bridge this research gap carbtmm aims to unravel the mechanisms underlying tmm and to understand its influence on coastal carbon release the proposal will address four pivotal objectives firstly investigate the mechanisms of bank collapse in tidal environments through physical experiments and formulate parameterized physicsbased functions that accurately capture characteristics of such collapse events secondly refine the startoftheart morphodynamic models by integrating newly developed functions for bank collapse to better simulate the evolution of single tidal meanders nays2d and complex tidal networks delft3d thirdly formulate an idealized processbased tmm model for globalscale applications drawing on insights from the refined sophisticated models lastly generate and evaluate projections detailing tmmdriven coastal carbon release at global scale under current and future climatic scenarios eg sealevel rise in achieving these objectives carbtmm aims to provide profound insights into the coastal carbon cycle and strengthen our proficiency in assessing potential capacity of coastal carbon storage furthermore predicting tmm near coastal infrastructures can help protect coastal communities and their assets
era chair in algorithmic game theory in socioeconomics

the agate project aims at intensifying relevant cuttingedge research and innovation in computer science and its intersectoral applications in czechia and era by establishing under the leadership of the worldclass era chair holder michel grabisch a pocket of excellence in algorithmic game and decision theory in socioeconomics agate agate plays a prominent role in the current scientific revolution so the first objective of the project is to create an excellent research group in agate domain the agate centre through the scientific and managerial competence and expertise of the era chair holder the agate centre will fill gaps in computer science research that the school of computer science of charles university is currently experiencing even if being czech leader in the field prof grabisch is the fundamental pivot feeding the centre of scientific excellence and worldwide scientific network attracting outstanding scientists and students and fostering brain gain and brain circulation current scientific revolution in socioeconomics is driven by business applications as well as algorithmic decision making and fair control and logistics in public administration for this reason the second objective of the project is to build capacities in intersectoral exploitation of agate methods and in synthesis of currently relevant research innovation and applications the agate centre will make new linkages between academia and businesses strengthen czech human capital base in ri with more entrepreneurial and better trained researchers and innovators and significantly increase currently low intersectoral mobility of researchers of charles university the agate centre will also focus on filling a nationwide gap on all levels in using modern computational tools for public administration and decision making the centre will capitalize on excellence from across the continent by strengthening the position of czechia in the research and innovation sphere
probing the impact of integrity and integration on societal trust in science

poiesis examines research integrity and the integration of society in research as vehicles for responsible knowledge creation it recognizes the intrinsic value of both research practices that align with ethical legal and professional standards and the integration of relevant societal stakeholders in all phases of the research cycle however evidence of the impact of integrity and integration on societal mistrust in science research and innovation is lacking poiesis will carry out an extensive research programme to systematically examine the interrelatedness of integrity integration and trust and the role of institutions in fostering a research climate that is conducive to societal trust in sciencepoiesis will do this through i analysis of existing data streams on citizen trust responsible and questionable research practices and institutional policies to enhance responsible research ii implementation of a portfolio of small scale studies tailored to capture empirically the relatedness of integrity integration and trust focusing on the chains of mediation that connect research practices with ultimately the interpretation and assessment of these practices by wider nonacademic publics and iii conducting a set of participatory research actions in which stakeholders actively cocreate knowledge focusing on the role of institutions in nurturing responsible research cultures and practices that are conducive to trust in sciencethrough substantive engagement with stakeholders and an ambitious plan for dissemination and communication poiesis will create viable pathways to achieving its intended scientific economic and societal impacts poiesis will build a better knowledge base about the linkages of research practices and societal trust in science providing targeted recommendations for designated user groups about tackling societal mistrust in science and strengthening the cocreation of research and innovation contents by society
microplastic pollution in freshwater sediments effects at the hydrology microbial biofilm and thus water quality under global change threats

we live in the plastic age plastics are key for societal innovation and used on a daily basis however due to their ubiquity persistence inadequate management improper waste disposal they tend to accumulate in the environment besides during their life cycle they degrade into tiny polluting bits called microplastics mp5mm considered a major environmental threat biodegradable plastics biomp have become an alternative since they can be mineralized under certain temperature and moisture conditions fluvial sediments and their inherent microbial communities could potentially decompose biomp due to their role as a nutrient recycling and its high enzymatic activity however how the degradation of biomp will affect nutrient recycles in aquatic ecosystems an essential ecological service is still unknown in addition global change especially rising temperature and hydrologic extreme events mobilize plastics in freshwater systems and further degrading them into mps thus there is an urgent need to develop tools to assess predict and mitigate their effects on freshwater ecosystems sediplastic seeks to explore and provide new knowledge on mp non and biodegradable effects on freshwater sediments under global change conditions sediment columns with different grain size withwithout microbial communities and microparticles inert mp biomp will be used hydrological parameters nutrients dissolved organic carbon bacterial biomass viability and functionality and mp mobility and degradation will be analysed moreover to better understand the key role of mp in freshwater sediments and how can affect ecosystems services a predictive model will be developed using project experimental data project outcomes will impact beyond academia providing novel tools for industry government and thus societal wellbeing it will contribute to major eu research priorities and to global efforts such as the un sustainable development goals 6 12 14
syntair improved atm automation and simulation through aibased universal models for synthetic data generation

the main objective of synthair is to explore and define aibased methods for synthetic data generation in the domain of atm system due to the limitation of aibased tools development by the lack of enough data available eg safetyrelated data and the problem of generalization of those aibased models we want to explore datadriven methods for synthetic data generation since they require 1 less user knowledge expertise no need to derive the explicit model of the distribution 2 better generalization capabilities more in detail inspired by recent advancement in computer vision and language technology we propose the concept of universal time series generator utg a utg is a model trained on several different time series and able to generate a synthetic dataset representing a new dataset simply conditioned by a compressed representation of it in aviation domain this generator can be trained on a certain set of data related for example to few airports and be used to generate synthetic data from a new airport the same principle can be applied to define a universal time series forecaster utf able to do prediction to a new environment ie data from a new airport without any new training
shortwave infrared light emitters based on colloidal quantum dot technology

optical sensing and imaging has evolved from taking digital images to a powerful metrology imaging and data acquisitiontechnique by expanding the spectral coverage from the visible to the shortwave infrared swir swir sensing andimaging is the cornerstone of advanced imaging techniques for 3d visualization night vision imaging though adverseweather conditions biomedical imaging spectroscopy for food quality and health monitoring just to name a few the hugemarket size of such applications especially by entering volume markets including consumer electronics and automotive hasled to the first commercial appearances of low cost cmos compatible swir photodetectors and image sensors yet for therealization of the aforementioned technologies the optical source is an equally important and crucial component to beconsidered at system level to date there is a lack of infrared optical sources that are cmos compatible lowcost withcompetitive performance over the standard costly epitaxial iiiv light emitters moreover high cost and epitaxial growthmanufacturing processes have limited the size and form factor of those sources to small and rigid elements preventing theiruse as high power and large area illumination sources swirl will undertake this challenge to develop high performancelowcost swir optical sources with tunable emission peaks and spectral bandwidths across the eyesafety swir windowexploiting colloidal quantum dot technology by leveraging engineering at the nanoscale and solution processed materialswe will develop in trl45 swir optical emitters that are lowcost high efficiency even rivalling their epitaxial counterpartsand spectrally versatile across the swir we will further demonstrate their use in key applications related to automotiveindustry as optical sources for active swir imaging and incabin monitoring in the eyesafety infrared window
imagine if platforms european progressive parties and the digital commons mapping ideologies and practices comparing political imaginaries measuring societal impacts

putting the people at the centre of the digital transformation is one of the core goals of eu strategies for the digital decade however the excessive power of a few noneuropean big tech companies governing the digital transition also carries risks for eu citizens while stateoftheart theorises and describes the new opportunities and threats of the political impacts of platformisation the question of whether and how a new progressive politics for the digital age is emerging is rarely asked imdigicomm will answer these questions in four stepsfirst building on critical literature on the digital commons imdigicomm will elaborate a threepillar theoretical framework to make sense of how digitalisation affects gender democratic and productive relations the assumption underlying imdigicomm is the emergence of a new cleavage counterposing two models of platformisation the digital as commodities and the digital as commons second empirical research will focus on progressive parties in five countries france germany italy poland and spain to map their ideologies and practices regarding the digital transition to assess whether they facilitate or hamper the advance of the digital commons third the maps will result in a digital commons politics index to measure the extent to which parties imaginaries on platform societies contribute to redirect the digital transition and qualitative comparative analysis will assess the combination of conditions that may lead to an increase in the index fourth the project will evaluate the societal impacts of transformative shifts from the digital as commodities to the digital as commons through a digital dashboard imdigicomm represents a stepping stone to elaborate the theoretical and methodological tools to make sense of the politics of the digital age finally imdigicomm aims to open future research pathways to systematise the understanding of the political confrontations in platform societies
hydrodynamic performance optimization of trimaran vessels for offshore wind operations and maintenance

due to rapid global development of offshore wind challenges of ensuring high efficiency in operations and maintenance om for offshore wind turbines become prominent in reducing the levelized cost of energy trimaran vessels known for their highperformance characteristics including exceptional speed seakeeping and spacious deck areas give advantages in performing the om activities effectively current research on the hydrodynamic performance of the trimarans primarily focuses on conventional applications without considering their practical utility related to offshore wind om activities when the trimarans approaching the wind turbine substructures unique hydrodynamic characteristics of the vessels needs to be understood to enhance the efficiency and effectiveness of the maintenance operations to date for offshore wind om applications there is no existing detailed hydrodynamic study concerning the optimization of the outrigger layout for the trimarans thus a computationally efficient hydrodynamic optimization method based on harmonic polynomial cell hpc method will be developed in this project the developed method will then be validated against computational fluid dynamic cfd simulations by utilizing nondominated sorting genetic algorithm ii nsgaii as a multiobjective optimization algorithm in conjunction with back propagation bp neural network an outrigger layout optimization method will be tailored for the trimaran om vessels under different operational conditions during the fellowship i will employ interdisciplinary approaches for my studies such as the applications of the hpc method in calculating multibody hydrodynamic problems cfd simulations in validating the developed solver and the bp neural network method in improving the multiobjective optimization efficiency this will effectively improve my research capability and facilitate the developed optimization solver for the applications in offshore wind om activities
imaghyne investment to maximise the ambition for green hydrogen in europe

imaghyne will pave the way for the deployment of a largescale renewable hydrogen h2 economy in the auvergnerhnealpes region fully integrated in the energy system and addressing the needs of high emitting sectorsthe objectives will be to 1 deploy 57 mw of new electrolysis capacity 2 implement a flexible h2 supply chain combining underground storage and tubetrailer deliveries 3 deploy 13 multimodal h2 refuelling stations 4 deploy 201 onroad fuel cell vehicles 5 deploy 63 offroad fuel cell vehicles and stationary equipment 6 strengthen the robustness of the energy and h2 supply chain by integrating a flexible industrial player 7 design an efficient pipelinebased multiuser h2 ecosystem 8 prepare for additional largescale deployment as part of the valley extension including ipcei and its replication 9 disseminate and communicate the results of the project to a wide audience imaghyne will meet the requirements of the work programme and contribute to the eus h2 strategy imaghyne will foster the development of a longlasting h2 economy through 1 an extension of the valley including the development of a pipeline network and the transition of several industries part of the observer group 2 an ambitious replication strategy with at least 5 territories from european countries france italy spain portugal switzerland airports and mountain ecosystems 3 high quality communication and dissemination activities including training 4 recommendations to public authorities on regulation eg tunnelsthis ambition will be achieved thanks to the involvement of key public and private entities covering the entire h2 value chain with an extensive experience of eufunded projects who have defined a detailed governance structure work plan and financing strategy imaghyne partners will work collectively to create links and synergies with upcoming and existing valleys already supported by the clean hydrogen partnership