Dragon09/odtu_chatbot huggingface dataset:
plasma exascaleperformance simulations coe pushing flagship plasma simulations codes to tackle exascaleenabled grand challenges via performance optimisation and codesign

plasma science has been at the forefront of hpc for several decades driving and at the same time benefiting greatly from innovative hardware and software developments the overall goal of plasmapepsc is to take this development to the next level enabling scientific breakthroughs in plasma science grand challenges through exascale computing and extremescale data analytics specifically we aim to enable unprecedented simulations on current preexascale and future exascale platforms in europe to control plasmamaterial interfaces optimize magnetically confined fusion plasmas design nextgeneration plasma accelerators and predict space plasma dynamics in the earths magnetosphere we achieve these goals by maximizing the parallel performance and efficiency of four european flagship plasma codes with a large user base bit gene picongpu and vlasiator here we will build on algorithmic advances regarding load balancing resilience and data compression as well as on programming model and library developments mpi accelerator and data movement apis and runtimes insitu data analysis we ensure an integrated hpc software engineering approach for deploying verifying and validating extremescale kinetic plasma simulations that can serve as a community standard we will establish a continuous and integrated codesign methodology to providereceive direct input tofrom the design and development of the epi processor and accelerator will exploit synergies through collaborations with other coes eurohpc and competence centers for crossfertilization adoption and full exploitation of the plasmapepsc codes plasmapepsc brings together an exceptional interdisciplinary group of highlyrecognized leading scientists from academia research centres and hpc centres with decades of experience in algorithmic and method developments extremescale plasma simulations and application optimizations with high involvement in strategic eurohpc projects and initiatives
tomac bioinspired flow generation in tubeless organonachip using magnetic artificial cilia

currently 90 of the drugs fail to pass clinical trials1 one of the key reasons is that the animal models used in the preclinical phase poorly predict the human response to the drugs organonachip ooc is a game changing technology as one of the alternative methodolgies to animal models the heart of an ooc system is an organchip cmsized devices with microchannels and chambers in which human cells can be grown to closely mimic human tissues more and more evidence shows that oocs are more representative models than animals however the industry adoption of oocs is still very limited ooc users and developers simply have to choose between either oocs with physiologically relevant flow but not fit for standard operating procedures in the pharmaceutical industry or oocs that are compatible but less physiological because of the absence or inadequacy of the flowthe tomac project offer s novel a solution called magnetic artificial cilia mac pump a chipsized modular and tubeless flow system that on one hand eliminates manual handling and enables automation and on the other hand provides physiological flow for a range of organ models the technology behind mac is based on micrometersized magnetic hairlike structures called magnetic artificial cilia mac which are inspired by cilia occurring in nature the mac are flexible microactuators that respond to a varying magnetic field created by the actuation system by rotating or oscillating and thus create a controlled fluid flow
a mesoscopic approach to crossdiffusion modelling in population dynamics

crossdiffusion aims at modelling the influence of one species on the diffusion of another one and can be seen as an extension of the standard diffusion described by the laplacian it finds application in several fields like physics chemistry and biology of particular interest in the literature is the macroscopic crossdiffusion shigesadakawasakiteramoto skt system which is considered the prototypical model to describe the dispersive movement of crossinteracting species in population dynamics leading to the formation of spatial patterns front invasions segregation effects despite their importance and large use in the scientific community their derivation from a mesoscopic formulation is still missing in the literature and the admissible ranges for the relevant macroscopic coefficients that would be needed for application purposes have not been yet identified the novel challenge of mesocromo is to introduce new biologically meaningful multispecies boltzmanntype models for competitive dynamics obtain the first derivation of the skt system from these kinetic equations in some suitable hydrodynamic limit from a theoretical and a numerical point of view and provide explicit relations for the crossdiffusion and reaction coefficients in terms of the mesoscopic parameters this will be done by redesigning wellknown tools and methods from the kinetic theory of reactive gases and creating an innovative bridge between the concept of relaxation to thermodynamic equilibrium for distribution functions in kinetic theory and that of quasi steady state approximation for fastreaction limits in dynamical systems the action will be able to gather mathematicians from different communities give an impulse to existing lines of research and identify new longterm directions combined with the experience of the supervisor the excellent training and the rich environment provided by the host it will enhance the researcher towards an outstanding career in academia
growing europes global tech companies

the eic scaling clubs mission is to grow europes tech success stories it is to be the home where 100 selected european deeptech scaleups their investors and stakeholders collaborate to develop market opportunities and contribute to a better world it will deliver 6 sets of services to its members over a period of 35 years engage the most active investors corporations agencies clusters and media and mentors grow the value of the 100 selected member companies with a bestinclass venture mentoring programme facilitate the financing partnering and hiring of talent through a curated roadshow of events share the inspirational success stories of the scaleups develop relationships with the key institutions at eu and member states manage the club to a selfsustainable future the club is led by 6 complementary partners who believe that europe is a technology and unicorn powerhouse with a purpose its deep tech saleups are at work to bring solutions to the worlds biggest challenges
immunopeptidomicsbased development of nextgeneration bacterial mrna vaccines

baxerna 20 will establish a new vaccine development pipeline based on dramatically improved immunopeptidomics screening and innovative mrna vaccine formulation we will use our powerful new pipeline to develop novel mrna vaccines against three bacterial pathogens that can persist within phagocytic cells mycobacterium tuberculosis mtb mycobacterium ulcerans mu and acinetobacter baumannii ab mtb and ab are clinically problematic bacteria with alarming levels of antimicrobial resistance amr while mu is an important neglected tropical disease although vaccines are recognized as highly effective tools to mitigate amr and tropical diseases effective vaccine development for these facultative intracellular bacteria is held back by a lack of known antigens and by current vaccine platforms struggling to elicit the required strong cellular immune responses we will overcome both limitations here through two key innovations i novel proteomics and proteomics informatics approaches for immunopeptidomics to allow highly sensitive discovery and prioritization of bacterial epitopes presented on infected cells and ii novel mrna vaccines to induce both humoral and cellular immune responses with innovative adjuvants to strengthen adaptive immunity and to modulate innate immunity vaccine production will be done according to gmp standards and we will pursue novel lowcost production methods to enable local production and muchneeded improved vaccine stabilitywe will characterize innate and adaptive immune responses in detail in human cellular models and mouse infection models in addition top vaccine candidates for mtb will be evaluated in unique primate models followed by testing of the lead candidate in a firstinhuman phase i clinical trialtogether we will establish our novel vaccine development pipeline as a blueprint for worldleading nextgeneration bacterial vaccine development
an effective field theory for nonglobal observables at hadron colliders

in light of intriguing hints for the existence of heavy new particles from lowenergy measurements of the anomalous magnetic moment of the muon and rare leptonic decays of b mesons which strategy should one take to fully exploit the discovery potential of the cern large hadron collider lhc the most powerful highenergy particle collider on earth signals of new physics might be hiding in the lhc data but we are limited in our ability to discover them due to present theoretical uncertainties jet processes at the lhc are the most interesting observables probing the underlying shortdistance dynamics new and powerful methods are required to obtain full control over the subtle quantum corrections affecting these processes both in the standard model and in extensions featuring new particles in the eft4jets proposal i focus on two of the most daunting challenges faced in theoretical collider physics a rigorous fieldtheoretic understanding of the parametrically leading contributions to jet rates from socalled superleading and nonglobal logarithms and a quantitative understanding of the phenomenon of factorization violation which threatens to jeopardize theoretical calculations of jet processes eft4jets aims at the development of a complete theory of nonglobal observables at hadron colliders which are insensitive to radiation in certain regions of phase space this will for the first time provide a rigorous theoretical control over all logarithmically enhanced corrections to jet cross sections give a generalized notion of factorization and enable more accurate calculations than ever before thus boosting the lhc discovery potential for new phenomena detailed predictions will be obtained for important benchmark processes including the production of higgs w or z bosons in association with jets the dijet production process pp2 jets and the monojet production process pp jet missing et which is a key signature in the search for dark matter
advanced biofuels production from waste olive pomace of olive oil industries

olive pomace waste from edible olive oil industry cannot be currently used due to its acidic ph high salinity high phenolic contents and phytotoxic properties its disposal is challenging and creates environmental pollution utilization of olive pomace waste for biofuels production is one of the promising solutions however conventional methods for production of olive pomace biofuels are using expensive enzymes corrosive toxic acids and are not effective due to high inhibitors content olipfuel will demonstrate a more environmentally friendly and effective process to produce olive pomace biofuels without the use of any toxic chemical olipfuel research on novel integration of water hydrolysis hydrothermal treatment and thermoresistant h polymorpha yeast mediated fermentation processes to improve reaction kinetics yield and quality of olive pomace biofuels solid biofuelhydrochar liquid biofuelsbiooil and bioethanol exclusive collaboration and unification of complementary technical expertise of the researcher thermal processes supervisor h polymorpha fermentation olive pomace host institute university institute of research in olive grove and olive oils university of jaen and a bioenergy company biolizarecursos estratgicos de biomasa sl will ensure project success research development and transfer of knowledge i will gain training in fermentation hydrothermal process chromatography techniques project management and entrepreneurship skills whereas i will transfer my knowledge on pyrolysis and thermal plasma process to the host the olipfuel will establish proof of concept and could be fundamental for future research for the development of advanced biofuels from waste olive pomace from the olive oil industries befitting to present eu priorities and un sustainable development goals 2030 related to waste resource recycling clean environment and renewable clean energy
sustainable soil and subsoil health promotion by implementing agroecological land use and management to enhance ecosystem services delivery for society

according to the eu soil strategy around 60 to 70 of the soils in the european union are not healthy and suffering from severe degradation processes the degradation processes primarily affecting the topsoils are also depleting the subsoil health reducing the ecosystem services delivery however subsoil knowledge is scarce in spite of the relevance it has sussoil is a 4year project adopting multidisciplinary approach that will develop a set of 15 subsoilliving labs lls to inventory analyse and benchmark different agroecology subsoil management asm and land uses and their impacts on the subsoil spatial variations and dynamics to best combine asm practices in rural and urban areas within a global regional context sussoil results will be the start point to increase the awareness of land managers and public authorities to understand the subsoil threats and risks support eu agroecological transformation tackling subsoils and increasing ecosystem services delivery promote water security and climate change mitigation of rural and urban ecosystems the main outcomes include 1 develop a subsoilsoil monitoring database sdb able to be interoperable with the lucas and esdac databases ii the analysis longterm asm land use and management of 3 relevant types of soil per ll and the relationship with rural and urban ecosystem services delivery including modelling iii develop a set of farm idiotypes per ll mixing the asm best practices as an alternative to conventional systems to enhance the ecosystem services provision at regional level for citizens through iv a subsoil decision support tool sdst considering soil degradation and relevant business models and propose a v subsoil policy strategy framework to foster asm best practices
improved resilience of critical infratsructures against large scale transnational and systemic risks

atlantis aims at enhancing resilience and cyberphysicalhuman cph security of the key eu critical infrastructures going beyond the scope of distinct assets systems and single ci by addressing resilience at the systemic level against major natural hazards and complex attacks that could potentially disrupt vital functions of the societythe mission of atlantis which involves 39 european partners with complementary roles and skills is to improve the resilience and the protection capabilities of interconnected eci exposed to evolving systemic risks due to existing and emerging largescale combined cyberphysical threats and hazards guarantee the continuity of operations while minimizing cascading effects in the infrastructure itself the environment other cis and the involved population enabling public and private actors to meet current and emerging challenges by adopting sustainable security solutionsthe mission of atlantis will be achieved by improving knowledge on largescale vulnerability assessment and longterm systemic risks improving the systemic resilience of eci through novel adaptive flexible and customizable security measures by design and tools by innovation improving effective cooperation among ci operators and government security stakeholders while preserving ci autonomy and sovereignty delivering an open trl7 technological framework that will provide the ecis with ai based solutions for increased awareness capability and cooperation in managing systemic threats the atlantis solution will be validated and demonstrated in 3 largescale crossborder and crosssector pilots lsp1 crossbordercross domain large scale pilot in transport energy and telecoms slovenia croatia italy and france
credible inference for empirical macroeconomics

following the credibility revolution macroeconomists have sought plausibly exogenous instruments and other sources of variation to identify causal effects given the complex nature of the macroeconomy characterised by simultaneous causality and intemporal dependence this is a high bar thus in the pursuit of exogenous variation researchers often use minor sources of variation or subtle features of the data to identify the effects of interest when the variation exploited is modest weak identification can arise in practice this means that estimators are no longer asymptotically normal so standard techniques for statistical inference conducting hypothesis tests or constructing confidence intervals are invalid while this likely occurs in much empirical research in macroeconomics few papers acknowledge these issues partially because there are rarely appealing options to address them this proposal provides attractive options for researchers to combat weak identification in macroeconometric models first it offers the possibility to avoid weak identification in the first place via novel frameworks to exploit instrumental variables in panel and time series data these frameworks extract richer information from a given instrument and expand the set of admissible instruments next i provide tools to construct confidence sets for dynamic causal effects a key object of interest that are valid regardless of how strong the identifying variation is existing approaches produce confidence sets that are conservative too large i first consider models identified using instrumental variables improving both computational burden and performance relative to frontier methods finally i consider models identified using more general sources of variation and working identification scheme by scheme provide performance gains over leading methods for confidence sets i thus facilitate credible inference to match credible identification strategies
remanufacturing repurposing and recycling energy goods through advanced mechatronic and digital technologies

despite the multiple advantages of products remanufacturing being widely recognised as an effective means for transitioning to a more circular economy there is still need for improved research and experimental observations to improve traceability and reliability of the final products from endusers perspectives as well as enhanced impacts monitoring the primary r3mydas objective is to develop a multiactor framework integrating innovative digital technologies ml for process and quality control marketplace graph models for defects detection digital twins advanced mechatronics am lasercladding automated disassemblyreassembly and newly developed approaches from ssh extended tamutaut models ethics and legal framework for functionally environmentally and economically sustainable circular value chains for remanufacturing of energy goods at the factory level oilgas crankshafts demo 1 evehicles batteries demo 2 wind turbines gearboxes demo 3 r3mydas will deliver unprecedented impacts throughout the targeted value chains as follows up to 60 time reduction in programming for remanufacturing up to 20 increased product quality up to 30 rework reduction demo 1 up to 30 improved detection of tiny deviations from normal behaviour up to 50 faster anomaly localization up to 30 increase the number of different modality data streams handled up to 20 faster fusion process demo 2 up to 99 reusage rate 90 prevention rate 75 lead time up to 85 raw material savings potential demo 3 the project will deliver a marketplace associating to each remanufactured product or servicescomponent for remanufacturing a digital passportlike set of information ensuring full traceability finally a dedicated training programme will be designed and delivered by eitm targeting the project remanufacturing value chains 100 training hours and 100 diverse stakeholders engaged during the project
ultrastructural analysis of mutant huntingtin fibrils extracted from human brain tissue using highresolution bioimaging and proteomics methods

the formation of protein fibrils in the brain is the most representative feature of neurodegenerative diseases a detailed description of their structure and composition is essential to design new therapeutic approaches that allow patients to increase their life expectancy and quality of life in huntingtons disease hd the severity of the symptoms and the age of onset is strongly dependent on the number of glutamines above the threshold carried by the huntingtin protein of patients affected with this disorder the two main objectives of this project are 1 to obtain atomic models of soluble and insoluble fibrils extracted directly from the brain tissues of individuals carrying extreme and moderate cag repeats in the htt gene and 2 mapping their insitu interactions our approach will include stateoftheart cryogenic electron microscopy mass spectrometrybased proteomics and immunology it will count on the participation of an interdisciplinary research group comprising experts in hd pathology structural biology and interactomics the host institution counts with advanced facilities in image data analysis cryoem and highthroughput proteomics that will be fully available the host lab is an internationally recognised group that has more than 20 years of experience in carrying research focused on the molecular causes of hd in cell and animal models it also has a strong background in mapping the interactions of the proteins that cause neurodegeneration in brain tissues the host lab will take advantage of my expertise in assessing and validating proteinprotein interactions through biochemical and biophysical methods my visibility as a researcher will be greatly benefited by the extensive collaboration network of the host lab the training and skills acquired during the execution of this project will expand and consolidate my research career and bring it to a very competitive point for taking a leading role as an independent researcher
in silico bioevolutio novel ai paradigm for molecular biology

the success of phage therapies relies on correctly matching a therapeutic phage to bacterial strain however calibration of therapy recipe may last for years presented solution enable to accelerate this by in silico simulations on ai platform for in vitro it is able to find optimal phage that meets the phenotype imposed by the researcher especially predict given phage effectiveness against a specific bacteria strainindicate mutations that increase phage effectivenessgenerate explanations for predictionscurrently this process is performed by wetlab employees in vitro replacing it with an in silico process will reduce the number 90 out of 100 experiments significantly accelerating the process and improving phage therapy quality at the same time its the basis for modern probiotics for microbiome modulation at the same time it will enable dynamically generate personalized therapies for specific patients it is a novel endeavor in the area of molecular biology