Dragon09/odtu_chatbot huggingface dataset:
european clean aviation regional ecosystems

to reach europe climate neutrality by 2050 as ambitioned by the green deal strategy it is necessary to drastically reduce emissions from aviation clean aviation joint undertaking has set out a very ambitious innovation programme to achieve this goal but it is also necessary to create synergy with the different aeronautical regionalnational funding programmes in order to create leverage effects and maximise funding impactecare projects objective is to draw linkage between europeannationalregional roadmaps and aeronautical stakeholders and cocreate synergies through a pilot covering 4 major aeronautical european regions occitanie and nouvelle aquitaine in france hamburg land in germany and campania in italy with the aim of creating a methodology expandable to other aeronautical european regions ecare digital platform will provide i a mapping of funding opportunities relevant projects scientific and industrial resources ii a forum for exchange of information the ecare stakeholders group funding bodies clusters and other aeronautical stakeholders will foster and spread ecare methodology after more than a hundred interviews with aviation players national and transnational workshops will coelaborate and provide recommendations for caju phase 2 implementation by 2025the consortium is composed of 3 major european aeronautical clusters aerospace valley hamburg aviation and campania aerospace district and one belgian sme specialized in aeronautics technology services easntis all are experts in their domain and other european aeronautical clusters will be involved inter alia via the eacp european aeronautical clusters partnership partnership coordinated by hamburg aviation cluster eventually the project is expected to bring together more than 300 entities via the platform and 30 ecare stakeholders group members that will collaborate on the synergy to help the european aviation achieve its ambitious goals
european advanced reusable satellite

this program proposes to design and build a lowcost spacecraft capable of supporting a variety of small experiments for orbital periods potentially longer than a year the vehicle is to be designed to operate and return to earth autonomously to be reusable with minimal refurbishment and to be compatible with common launch vehicles secondary payload attachments the spacecraft is based on a current microsatellite platform with the addition of a heat shield a powerful propulsion system and a recover system the spacecraft is launched in leo and perform its mission which can be iodiov microgravity scientific experiments or commercial activities like microgravity manufacturing thanks to its own propulsion system the spacecraft can reposition itself and perform a controlled reentry after reentry and when the vehicle slows to the designated mach number a drogue parachute will be deployed which will decelerate the vehicle to a condition permitting deployment of the steerable gliding parachute terminal descent on the main parachute is controlled so that the vehicle softlands at a designated landing site the reusability feature has four main advantagesrecover of the payload for usageinspectionanalysispossibility to reuse the satellite for different missionspossibility to abort a mission without loss of the payload limited pollution debris mitigation both on ground and in orbitthis platform follows the call indications as it deals with reentry technologies green propulsion advanced gnc marketing surveys have indicated that there is considerable user interest for such a platform
formatedependent regulation of cancer metastasis

mechanisms underlying cancer metastasis are poorly understood and context dependent an essential feature of disseminating cancer cells is metabolic plasticity which allows cellular adaptation to changing environmental conditions along the metastatic cascade i discovered in 2016 the phenomenon of formate overflow an alternative pathway for serine catabolism via folatemediated onecarbon 1c cycle instead of using formate for nucleotide synthesis to support proliferation formate overflow is characterised by formate excretion from cancer cells furthermore i have convincingly demonstrated that mitochondrial 1c metabolism and increased extracellular formate concentrations promote cancer metastasis in a growthindependent manner however it remains unknown which intermediates of 1c metabolism contribute to this phenotype how formate controls metastasis and how it can be targeted therapeutically to cross the current edge of knowledge i will 1 take advantage of genetic and newly developed analytical methods to dissect how the formatedependent effects are propagated in cells 2 describe intrinsic mechanisms to explain how the formate signal is relayed to promote metastasis and 3 exploit formate overflow for cancer cell killing by directly targeting the formate molecule 4m8 will explain a novel concept of how a mitochondrial metabolic signal drives cancer cells towards a prometastatic phenotype and how this knowledge can be translated into a signature to analyse the metabolic state in human tumour samples finally we will develop a novel tool to target formate directly within cancer cells in sum our research will shed light on an unexplored field of cancer metabolism providing the foundation to develop novel treatment approaches against metastatic cancer the primary cause of cancer death
a game changer for the treatment of osteoarthritis a cost effective combined advanced therapy to treat knee osteoarthritis

according to the who osteoarthritis oa is one major course of years lived with disability in the elderly and considered a high burden disease which makes it a research priority in europe there is no cure for oa and soa treatments need to be reconsidered current pharmacological interventions consist of analgesic antiinflammatory drugs as well as intraarticular steroids and hyaluronic acid iaha with moderate efficacy and associated longterm side effects new medications are thus needed both to alleviate pain and slow down disease progression taking advantage of the explosion of rna technologies in the last years sinpain aims to develop a pipeline of sirnabased therapy built on the combination of current technologies dyanmic iaha and nanocarriers that will be designed stepbystep in order to reach a successful management of inflammation and innervation therapy for the treatment of early grade 01 and later stages grade 34 of knee osteoarthritis oa to do so a nanoformulation composed of functional iaha that can be loaded with vectors for the delivery of sirna targeting il1 and ngf and nanocarriers will be developed in parallel large effort will focus on understanding the pathological mechanisms of oa to validate efficacy in relevant potency assays 3d coculture models will be developed with human cells and tested in unique bioreactors mimicking joint environment and biomechanics with the identified cell targets iaha will be modified with immunomodulator peptide which will activate the adaptive immune response responsible for oa regeneration the 4 pipeline products of sinpain will be validated in vivo in a relevant oa model with soa techniques that will demonstrate the reduced inflammation and pain as well as the cartilage regeneration for the last product taking advantage of all the data obtained during the project a decisionmaking tool based on machine learning will be validated to offer patients a personalized therapy
smart systems for environmental pollution detection and biogas production based on cloudconnected silicon photonic and microelectronic hyperspectral sensors

air pollution poses a great environmental risk to health accounting for nearly half a million premature deaths each year in europe biogas production is an enabling technology to achieve netzero emissions while accelerating the energy diversification in europe both air quality control and biogas production demand critical improvements in sensor technology symphony will develop a new technology enabling the implementation of dense networks of cloudconnected lowcost portable and easytouse sensors capable of multitarget detection for applications in air quality control pollution monitoring industrial process control and safety symphony will address this challenge by making key developments in silicon photonics neuromorphic circuits artificial intelligence integration and packaging while exploiting stateoftheart silicon microelectronics for ultralow power edge computing with artificial intelligence and the connected sensor network for spatiallyresolved analysis and prediction the main focus of symphony smart sensors are gases related to the biogas production and gases that have been identified by the european environmental agency eea as highly pollutant and contributing to the greenhouse effect such as co2 ch4 and no2 symphony smart sensors will be validated in three different relevant scenarios city pollution monitoring in cyprus process control and leakage detection in biogas microplants in multiple locations in europe with this ambition in mind symphony has gathered a transversal consortium comprising three academic institutions two research institutes four companies and two endusers coming from seven different countries in europe the consortium covers the full value chain including silicon photonics neuromorphic circuits silicon microelectronics integration packaging artificial intelligence gas sensing the internet of things biogas production and air pollution monitoring
multiscale analysis of phase transformations in thermoelasticity

matt wants to investigate new multiscale mathematical problems where the evolution of fluctuating internal surfaces with respect to time and space has to be considered such evolutions happen at small unobservable spatial scales as the evolving surfaces are typically contact interfaces between microscopic material phases a prime example is the modeling of mechanical microstructural changes in steel eg bainite formation from austenite under fast temperature changes pointwise sensor measurements are here unavailable besides thermoelasticity other realworld examples leading to the same class of mathematical problems include swelling of porous media growth of tumors and thawing of glacierspermafrost now a global problem as the scale heterogeneity renders numerical simulations impossible one must identify simplified models that are able to accurately describe and predict the material behavior while still being simple enough to allow for fast numerical simulations within the expected physical range the objectives of matt are a develop a general mathematical framework for rigorously connecting different scales crossed by free boundaries b design multiscale numerical schemes to simulate and validate the produced models c facilitate the researcher a quick development towards scientific independence d boost the researchers awareness of the role the applied mathematician must play in science technology and society mathematical homogenization twoscale convergenceperiodic unfolding is the main working tool due to the inherent nonlinearity of moving boundary problems several new results regarding uniform estimates and compactness arguments will be established and used to ensure convergence multiscale numerical schemes will be designed and implemented in pythonfenics experimental data for the bainite transformation from austenite will be used to validate our findings
stattmds a statistical approach to tmd studies

the description of the proton properties and its internal structure is still a challenging issue within quantum chromodynamics qcd the theory of strong interaction the standard onedimensional picture encoded in collinear parton distribution functions pdfs is not able to explain the proton spin budget in terms of quark and gluon spin a new class of parton distributions including intrinsic transverse momentum effects has then been introduced the transverse momentum dependent pdfs tmds by encoding the correlation between the protonparton spin and the parton intrinsic transverse momentum they can provide a much richer and detailed picture a 3d image of the proton tmds are now of great interest in hadron and spin physics being able to describe several experimental observables at moderate and high energy at the same time they represent a perfect ground for testing fundamental properties of qcd such as universality and factorisationstattmds aims at building an improved statistical framework for studies of tmds applying for the first time modern statistical techniques to tmd analyses through a bottomup approach i will provide new and more robust phenomenological extractions of unpolarised quark and gluon tmds carefully assessing the uncertainties in the data and extrapolation regions this will eventually allow thanks to global bayesian reweighting techniques for a quantitative estimate of factorisation breaking effects in inclusive polarised hadronic reactionsthe project represents a timely effort as it has the ambition to determine a new standard for the hadron physics community and to set the ground for the future precision era of tmd studies when data from the future us electronion collider and fixedtarget programs at the lhc will come
gravitational storage quantum computing and ai for enhanced circularity and reliability in clean transitionaffected sectorcoupled electricity grids

the clean energy transition requires at least a 55 reduction in ghg emissions from 1990 levels by 2030 according to the fit for 55 package thus electricity grids will be called upon to operate in an overall context of 50 electricity production from res of any scale by 2030 thus several challenges will become even more apparent in the following years i reliability issues in electricity grids due to rapid decarbonization ii lack of circularity in conventional power plants decommissioning process iii operational issues in sectorcoupled systems under mass electrification scenarios iv significant computation and data processing efforts are required to manage the future grid graviteqa highlights the synergetic benefits of gravitational storage quantum computing qc and quantum inspired computing qic and datadriven trustworthy aibased analytics services graviteqa develops and validates 9 componentsmethodologies up to a trl 4 i qc and qic for the facility location allocation and loadside assets management problems ii a generic and holistic methodology to find the optimal energy storage technology or mix of them to transform a coal power plant and mine into a long duration energy storage plant iii repurposing of available assets case study capable of providing longterm storage and enhancing recyclability of a underdecommissioning thermal power plant and an abandoned coal plant iv conformal prediction for robust energy demand of cold ironing v optimal charging of cold ironing and evs respecting grid constraints for reliable green port operation vi seaport electrification strategy for seaports analysis and scenarios planning vii fast nodal flexibility region estimation algorithm for 3phase grids unlocking the flexibility services procurement from distributed res viii endtoend trustworthy learning for nonconvex optimization problems and ix a reference design for edge inference in smart grid applications
sustainable options for liquidwaste utilization through innovative oxidation

among several advanced oxidation techniques photoelectrochemical oxidation pec by bismuth vanadate bivo4 processes where both electrical electrochemical oxidation and light photocatalysis energy are synergistically harnessed to degrade organic contaminants has received major attention due to its excellent resistance to photocatalytic corrosion narrow band structure and low cost however high charge recombination caused by nanoporous bivo4 photoanodes weakens the charge transport and this could be improved by introducing surface modification using quaternary ammonium compounds qacs the proposed fellowshipsustainable options for liquidwaste utilization through innovative oxidation solution offers a novel photoanode material and fabrication technique in a peroxymonosulfate pms system using surfacemodified bivo4 qbivo4 to remove emerging contaminants such as poly and perfluoroalkyl substances pfass pharmaceuticals including antibiotics from watch list and antimicrobial resistance genes args in secondary treated wastewater sewage effluent solution also meets sdg 6 set by united nations modelling of the pec system and subsequent lifecycle analysis will facilitate eu industries to produce water for safe use through an ecofriendly and sustainable route thus preserving the environments biodiversity the fellowship will also train the researcher in a broad range of techniques that will expand his research portfolio by undergoing intensive training on material characterization electrode fabrication modelling and life cycle analysis at tu delft netherlands this training combined with his strong background in analytical environmental chemistry and wastewater treatment will significantly expand his skill set generating a highly valued researcher in the promising european wastewater treatment sector the project will also enable longterm collaborations between the fellows previous institutes and the eu
structure and functionbased design of vaccine antigens and antiviral immunotherapies

vaccines are critical in preventing viral diseases and recent advances in vaccine development and delivery platforms have enhanced their reach and efficacy viral glycoproteins that mediate host cell entry are the primary target of the humoral immune response and thus the main antigenic component of vaccines however for many viruses we lack fundamental biological insights that would easily allow transforming their glycoproteins into highly effective vaccine antigensin this proposal i introduce a completely novel approach to thoroughly extract structural and functional insights of viral glycoproteins for rational design of superior antigens by conducting nanobody repertoire screens i will bypass common constraints encountered in antibody screening such as immunodominance bias and redundancy contrasting with conventional techniques that narrowly target a limited selection of epitopes my approach promises an exhaustive mapping of glycoprotein surfaces and epitopes this paradigm shift enables antigen rather than antibody or nanobody characterization by determining highresolution cryoem structures of nanobodies bound to glycoproteins in transitional states we will understand their structural dynamicsequipped with these unparalleled insights we will harness pioneering deep learning methods to computationally design glycoproteins with enhanced antigenic form and exposed neutralizing surfaces i will showcase this method for viruses with high case fatality rates including hendra nipah lassa tickborne encephalitis and borna disease viruses vaxvision is set to offer a comprehensive framework for the antigen design of these and genetically or structurally related virusesmy work aims to capitalize on the unused potential for vaccine antigen improvement and will provide an innovative workflow for extracting mechanistic insights and leveraging them for vaccine antigen design with the potential to drive vaccine innovations beyond just viral pathogens
leadership for sustainable digital transformation in europe

digi is a worldclass research fellowship programme cofunded by msca on sustainable digital transformation that aims for a new generation of creative entrepreneurial and innovative researcher leaders able to face current and future challenges aligned with eus digital and green agenda driven by the ambition of sustainable ecosystems the digi research programme is focussed on developing innovative digital transformation approaches addressing crossdisciplinary challenges relevant to current policies and strategies in the european research area the programme funds 20 postdoctoral researchers to advance digital transformation practices in four multidisciplinary research themes 1 innovative business models and data ecosystems 2 digital culture and skills 3 data governance 4 innovative digital technologies and adoption aligned with the eu sustainable development goals driven by the ambition of sustainability digi has brought together partners that cultivate excellence by extending the traditional academic research setting equipping researchers with a tailored combination of researchspecific and transferable skills that will enhance career prospects in both the academic and nonacademic sectors digi is embedded within irelands leading sfifunded research centres lero and adapt bringing together a group of worldleading experts together with outstanding working conditions that support both family and career digi thus provides the fellows with excellent career perspective digi will impact on research policy standards and digital skills digi fellows will be able to convert knowledge and ideas to drive the digital transformation for economic and social benefit with sustainability a key parameter digi research helps to establish a set of innovative multidisciplinary digital transformation paths supporting the eu sustainability goals and help forming sustainable netzero economies a key aim within the eu for the next decade
truly resilient quantum limited traveling wave parametric amplifiers

truepa will develop the next generation of traveling wave parametric amplifiers twpas which are key tools for quantum technologies and basic sciences involving the detection of weak electromagnetic signals in the microwave domain truepa aims at pushing twpa devices beyond current limits pursuing three main groundbreaking advances demonstration of twpas which are i resilient to magnetic fields ii quantumnoiselimited and iii fully nonreciprocal our approach integrates novel circuit designs and the use of advanced superconducting materials combined with new characterization methods based on quantum optics techniques the outcomes of truepa will highly advance the field of quantumlimited amplifiers providing novel insights into decoherence mechanisms in superconducting circuits and boosting microwave amplification performance in basic science research fields such as quantum information with solid state platforms astronomy and dark matter search truepa brings together internationally known researchers with complementary expertise in the field of superconducting circuits quantum amplifiers nanofabrication and quantum optics this specialized knowledge is complemented by the expertise of two industry partners to push a new generation of twpas to offtheshelf components contributing to the growth of quantum technologies in europe and at the same time pushing forward basic science research
cooperative nickel catalysts for co2 hydrogenation to valueadded products

catalytic hydrogenation of co2 using h2 produced with renewable energy is a promising approach for the sustainable production of valueadded chemicals such as formic acid or methanol molecular catalysts based on transition metals have demonstrated potential for selective co2 hydrogenation reactions however most efficient catalysts for methanol production are based on scarce metals such as ruthenium the proposed research aims towards the development of an efficient costeffective potentially scalable nickelbased catalytic system for co2 reduction with molecular hydrogen to produce industrially relevant compounds such as formic acidmethanol to this end i will develop nickelolefin pincer complexes which have recently been shown to activate h2 via a new cooperative mechanism and are therefore strong candidates for co2 hydrogenation the new complexes will be evaluated for their catalytic performance by using various instrumentation techniques experiments supported by theoretical dft calculations will shed light on the mechanism of the reaction a successful project will afford both new efficient catalysts for co2 hydrogenation based on the earthabundant element nickel and mechanistic understanding to guide further developments on the longer term