Dragon09/odtu_chatbot huggingface dataset:
unveiling innovation potential of circular approaches in automotive electronics and beyond

to strengthen eus global competitiveness and resilience the updated industrial strategy calls for accelerating the green and digital transitions of key european ecosystems unicorn foresees functional electronics as an enabler catalyser of eu mobilitys twin transition using a carasa lab unicorn is aiming at increasing the circularitydriven functional integration of electronics in automotive while simultaneously embedding ecodesign principles in their development and ensuring net beneficial effect on climate change mitigationunicorn will demonstrate a capability to design develop innovative green and circular technologies for automotive electronics based on four electronic systems compositeembedded inmolded textileplastic and rubberintegrated taken from industrial use cases for a battery casing a dashboard a seatdoor system and a tire solutions will 1 encompass lightweight low impact andor biobased materials for flexible substrates films encapsulation inks solvents adhesives and flat cabling interconnects 2 validate resourceenergy efficient net shape additive printing encapsulating and reversible bonding manufacturing processes for circuitry sensors gauges antennas interconnects and 3 implement design for material circularity via reversible design modularity form factors to increase disassembly and recovery of valuable materialfor harnessing benefits of these technologies unicorn will set a new methodology for net impact assessment and ecodesign guidelines for automotive electronics designers developers it will establish a vision and roadmap on the role of functional electronics for supporting eu mobility climate targets and set the blueprints for transfers in further application sectors unicorn gathers 12 partners 7 companies mutualising skills and pilotindustrial capacities on flexible printed organic electronics circularity regulatory competences and business leaderships in automotive
numerical investigation of twophase flows for orc applications

with this proposal i aim to develop an accurate and robust numerical tool for the simulation of compressible twophase flows for organic rankine cycle orc applications recent studies have shown that the power output of orc systems may be increased up to 30 by implementing a wettodry turbine expansion which starts in the twophase regime and ends in the dry vapor advanced numerical tools are required to confirm these predictions and to investigate more accurately these flows to ensure an adequate level of reliability i propose to develop a numerical tool based on the nonequilibrium baer and nunziato bntype model the suggested model naturally takes into account noninstantaneous mass and heat transfer by using an adaptive strategy based on nonstandard criteria to predict the local flow topology the model will also be able to deal with the different flow topologies that occur in a wettodry expansion finally the effects of the finite relaxation scales will be investigated through a parametric study and specific empirical indications for twophase orc systems will be delivered to the community involved in their optimization and designthe developed simulation software will be released under an opensource policy within the su2 simulation toolkit a choice that will help engineers solve transient twophase fluid dynamics problems the ensuing availability of an adaptive diffuse interface method will also contribute to answer the need for advanced numerical methods able to effectively deal with the multiscale nature of twophase flowsthe interdisciplinary character of the ni2phorc project which blends techniques of fluid dynamics applied mathematics and scientific computing represents an invaluable opportunity for me to develop a solid and comprehensive scientific background to advance my scientific career within an engineering department
a comprehensive framework enabling the delivery of trustworthy datasets for efficient aiot operation

as internet of things iot and iotedgecloud continuum technologies advance physical environments are becoming increasingly equipped with sensors fuelling the development of smart space ecosystems massive quantities of data produced by iot devices revolutionize the way such ecosystems operate via the exploitation of ai modelsservices this has led to the emergence of the socalled artificial intelligence of things aiot systems in general designing techniques to promote robustness efficiency and continual operation of aiot systems requires realistic and trustworthy data at scale however such data is not always easy to obtain due to the cost of smart space construction the inconvenience of longterm device tracking the sensorknowledge data gaps in diverse scenarios of a smart space and the restrictions imposed on sensitive data sharing furthermore an efficient aiot system operation requires trustworthy ai services as well as novel approaches for speeding up their inference across the iotedgecloud continuum pandora aims to devise and implement a comprehensive framework enabling the delivery of trustworthy datasets of smart space ecosystems as well as the deployment and green operation of aiot systems in such spaces pandora spans two phases 1 prior to aiot system deployment 2 post aiot system deployment and operation phase 1 proposes and combines a series of novel techniques such as synthetic data generation quantification of uncertainties and data summarization for the delivery of trustworthy datasets as well as explainable ai and domaininformed model trainingtesting in smart space ecosystems phase 2 defines novel aiaas and caas techniques for the robust explainable green and continual operation of aiot systems deployed in such spaces the trustworthiness and applicability of the pandora framework will be tested through five pilot cases hosting aiot applications in smart buildings factories and critical infrastructures
lnpdecode broadening the therapeutic window of lnpbased vaccination

the recent success of ionizable lipid nanoparticles ilnps as vehicles for mrna mrnailnp as a safe and highly effective vaccine in the protection against sarscov2 pushed the lipid nanoparticle technology to the forefront of medicine and launched worldwide interest in their potential as a therapeutic vaccine against numerous pathogens or tumor antigens still their mode of action remains largely a black box one of the most remarkable properties of mrnalnps is that they do not require any additional adjuvant explaining for a large part their success current belief poses that their adjuvant activity originates from the ionizable lipids without any need for mrna components our data challenge this belief as we found that empty nonmrna containing lnps induce homeostatic not immunogenic dendritic cell dc maturation this observation has farstretching clinical implications as it suggests that if one finds a reliable manner to incorporate antigens in a nonimmunogenic fashion in lnps ie as peptides or nonimmunogenic mrna molecules we can broaden the scope of lnps from inducers of protective immunity to inducers of tolerance the current project aims to explore this idea by testing the induction of tolerance against allergens and autoimmune antigens incorporated as peptide cargo within lnps in addition we developed a unique toolbox with a set of biomarkers that distinguish tolerogenic from immunogenic mature dcs in the current project we want to validate whether we can use these biomarkers to monitor in vivo the effect of different types of lnps on dcs and predict their capability to induce tolerance or immunity we believe that these findings will be highly valuable to help rational design of the future generation of lnps guarantee a safer use in the clinic and potentially broaden their scope to inducers of tolerance
hydrophobic solvation at electrochemical interfaces

the last two decades have seen an explosion of scientific interest in hydrophobic solvation due to its stunning importance for biology catalysis and environmental science however it is only recently that we realized how important hydrophobicity is for electrochemical interfaces there hydrophobic molecules are involved in key electrochemical reactions such as water splitting and co2 reduction for renewable energy technologies identifying and predicting hydrophobic solvation contributions to thermodynamics is expected to advance our comprehension of these processes unlocking new ways to improve their efficiency this can only be achieved through a substantial advance in theoretical understanding the lumchandlerweeks theory that revolutionized our comprehension of hydrophobic solvation does not hold true at electrochemical interfaces a change of paradigms is needed first the present theory is based on density fluctuations in the liquid bulk but these are modulated by surface and applied potential at the interface second it is not only the solute size but a combination of sizeshapeposition that matters at the interface developing a theoretical model from these new paradigms is the challenge tackled by electrophobic the breakthrough will be to predict hydrophobic contributions to many electrochemical processes with my model to start i will focus on how hydrophobic solvation contributes to two problems that currently plague water splitting and co2 reduction at metalaqueous interfaces the undesired aggregation of h2 molecules into interfacial bubbles and the selectivity toward multicarbon products respectively tremendous advances in the theoretical understanding of these reaction mechanisms and on the role of the electrode catalyst have been made by density functional theory calculations i will couple these calculations with my model in a hybrid scheme such that surface and solvation contributions are simultaneously but separately evaluated
counting with homomorphisms

this project addresses the computational complexity of counting problems in graphs such problems ask to compute the number of certain structures rather than merely deciding their existence counting problems find applications in diverse areas like network analysis machine learning probabilistic databases and statistical physics they are linked to fundamental questions in complexity theory and give rise to algorithmic breakthroughs for decision problemsthe proposed project will go beyond the state of the art in computational counting by building bridges between algorithmscomplexity and the mathematical theory of graph homomorphisms which are structurepreserving maps between graphs already starting from the 1960s lovsz and others showed that homomorphism numbers between graphs tie together disparate mathematical areassimilarly the pi observed in the past 5 years that the computational problem of counting homomorphisms unifies a range of problems in computer science that were previously studied in isolation this connection allows us to approach fundamental questions in parameterized and finegrained complexity related to the complexity of counting small patterns in large graphs which were out of reach for more combinatorial approaches secondly it allows us to revisit problems in classical counting complexity from a new angle especially for partition functions in discrete physical systems with the aim of simplifying unifying and extending known results thirdly homomorphism counts give a surprising novel viewpoint on questions in algebraic complexity surrounding the permanent versus determinant problem an algebraic variant of the p versus np problem
aptoll an innovative neuroprotectant to reduce brain damage in acute ischemic stroke ais

stroke is a devastating medical condition affecting 15 million people worldwide yearly being ischemic stroke the most frequent 87 indeed the global cost of stroke is 847b 60b in eu due to the huge socioeconomic burden of disabilities reperfusion treatment improves outcomes but only 20 of patients are currently eligible for treatment due to the narrow therapeutic window after stroke symptom onset and stringent selection criteria for eligibility novel therapies small molecules or biologics targeting neuroprotection have not achieved enough efficacy to get approved aptatargets has successfully developed aptoll an immune modulator and neuroprotectant with a novel approach to reduce brain damage in ais patients aptatargets aptoll drug has a novel approach targeting tlr4 to reduce brain damage in acute ischemic stroke ais patients 47 reduction of fiv reduce mortality from 18 to 4 and improve functional outcomes due to the innovative mode of action and nature of the molecule an aptamer aptoll represents a novel and disruptive approach to treating stroke in the first hours after the onset acute phase substantially reducing brain damage and improving quality of life qol in short and long timeaptoll is targeting the multibillion market of the global stroke management market valued at 317bn in 2020 and expected to reach 677bn in 2030 78 cagr as a first indication within the scope of this eic accelerator proposal aptoll will target ais patients 87 who received evt therapy expecting to be potentially used as neuroprotectant in all stroke patients based on preclinical and clinical results the eic project aims to conduct the ph2b trial of aptoll and demonstrate its efficacy before entering ph3 it will boost our chances of licencing the product to a pharma company increasing the value of the agreement
heat in the drivers seat unlocking the full potential of pulsed photothermal catalysis

the climate catastrophe urgently calls for greening and intensifying chemical reactors most chemical reactors use catalysts to speed up reactions but their operation at steadystate temperature impairs rate selectivity and energy efficiency to go beyond these limitations applying short heat pulses theoretically leads to 100 higher reaction yield lower energy use and a controlled product distribution however pulsed heating has remained out of reach because it is hard to heat catalysts selectively and fast enoughi break this paradigm and take control of dynamic thermocatalysis by using light pulses and robust plasmonic materials that convert light to heat with nanoscale specificity heatpulse comprises three work packages that tackle three challenges 1 kinetics modulate pulse timing for controlling reaction rate and selectivity 2 localization confine heat at thermal hotspots to boost energy efficiency and 3 stability and performance access high peak reaction rates by developing temperaturestable pulsed photocatalysts groundbreaking innovations 1 access to a normally unreachable reaction landscape with dynamic tunability of catalyst activity and selectivity 2 thermal hotspots break the limit of nanoscale heating and reach 3 higher peak temperatures with exponentially enhanced rates 3 metal nitride nanoarrays integrated with singleatom catalysts grant thermal stability beyond 1000 cheatpulse represents a revolution in green reactor technology by shifting from burning fossil fuels to heatpulsing with light powered by renewables the project will lead to the new field of photocatalysis beyond the steadystate at the crossroads of catalysis nanophotonics and materials science with an accomplished track record in nanoscale lightdriven chemistry and as a pioneer in the field of pulsed catalysis at both experimental and theoretical level i am uniquely suited to unlock the full potential of pulsed photothermal catal
nonfluorinated salts for limetal battery electrolytes

in the pursuit of the eu green deals carbon neutrality goals theres an immediate need for advanced energy storage systems lithiummetal batteries lmbs present a promising solution offering nearly double the energy density of current liion batteries although they currently suffer from a reduced cycle life this is due to the inefficient lithium platingstripping and the eventual formation of li dendritescurrent trends in electrolyte engineering for lmbs focus on fluorinated salts and additives which produce a lifrich solidelectrolyte interphase sei however recent studies suggest that li2o might be a more desirable sei component the noflime project builds on this change of paradigm by focusing on fluorinefree salts for lmb electrolytes with the aim of producing a li2orich sei the project involves the synthesis and evaluation of novel sulfonimide salts including the study of the cationanion interactions in solution and their electrochemical performance success in this venture will mark a substantial leap away from the conventional reliance on frich compounds showcasing the potential to formulate more sustainable and environmentally friendly electrolytes for nextgeneration batteries additionally beyond its scientific contributions the project will equip the researcher dr juan forerosaboya with a distinctive skill set in battery electrolyte research and development complementary to his current expertise guiding the noflime project is a team of recognized experts in the field with complementary knowledge dr montserrat casascabanas at cic energigune in spain specializing in cathode materials prof betar gallant at the massachusetts institute of technology experienced in sei analysis and quantification and prof alexis grimaud at boston college expert in battery electrolyte formulation and assessment
a human pancreatic islet perturbation atlas hupipa to decipher diabetesrelevant regulatory networks

type 2 diabetes or t2d is a heterogeneous disease that affects nearly 1 in 10 adults worldwide directly causing 15 million deaths each year human genetics and single cell genomic studies show that abnormal pancreatic cell transcriptional programs play a crucial role in type 2 diabetes however we lack an understanding of how this is translated into impaired cell function or mass consequently existing drug therapies for t2d aim to alleviate hyperglycaemia but do not target causal mechanisms my overarching goal is to understand variation of cell transcriptional states i postulate that even if an infinite number of perturbations are conceivable only a finite number of cell states exist identifying and characterizing major cellular states by studying regulatory responses to perturbations could provide insights into t2d pathophysiology and pave the way for diseasemodifying strategies the concept of human cell atlas currently depicts the cells landscape under one theoretical average condition and does not represent the broad range of possible cell states that exist in different conditions ill be extending this concept towards the production of a human pancreatic islet perturbation atlas hupipa which has the potential to be the first atlas characterizing cell states dynamics through multiple perturbations i will harness this resource to unravel t2d mechanisms and to discover candidate therapeutic strategies to this end i will design a largescale singlecell multiomics experiment of human islets facing chemogenetic perturbations i will develop a novel statistical tool for the analysis of singlecell multiomics data under a broad range of conditions and perform an integrative analysis with t2d human genetic and single cell datasets this project at the junction of statistics genetics and computer science has the potential to provide new knowledge for a better understanding and treatment of t2d
photoelectrodes that store light energy

the european green deal requires novel solutions for renewable energy solar energy is not constant and hence an unstable power source owing to its intermittent nature therefore storage of solar energy is an important issue our new technology combines solar energy conversion and storage into one thus delivering the opportunity to exploit the benefits of solar energy conversion also beyond the availability of sunlight our compact twoinone technology avoids the need to connect two separate devices thus lowering maintenance cost and technological support connection losses and device bulkiness together providing a more efficient and easy solution towards the integration in the daily life or to other functional systemsthe proposed technology develops a standalone photostorage system that functions as a photon energy harvester and converter and in the same time as an energy storage compartment the development of integrated solartocharge storage systems are of major importance to exploit the full potential of solar energy and in the same time extending the limits of conventional energy storage systems a photoresponsive storage system as planned in storelight achieving direct and seamless solar energy conversion and storage in one single compact architecture would be a transformative approach to power offgrid devices such unique phototocharge storage technology will ultimately affect extended application areas such as selfpowered sensors or the nextgeneration in microelectronics and iot
consortium europeafrica for research and innovation on food systems transformation

ceafirst the consortium europe africa on research and innovation for food systems transformation consists of 21 partners from africa and europe partly from the former leap4fnssa extended with new public and private network partners ceafirst will operationalise the international research consortium irc as a longterm platform on food and nutrition security and sustainable agriculture fnssa in line with the fnssa roadmap of the aueu highlevel policy dialogue hlpd this irc is a memberbased multiactor platform and will work towards increasing synergies and coherence while reducing fragmentation and duplication of research efforts its aim is to promote higher returns on investments and impact on business development in africa and europe by linking actors research and innovation projects initiatives and funding programmes ceafirst will 1 provide public access to a large knowledge platform 2 offer a sound method for analysis of ri activities 3 support the updating of the fnssa roadmap 4 establish operational working groups and thematic research calls the final output will be a fully functional irc including governance bodies ceafirst will also support its liaison with the highlevel policy dialogue hlpd it will create a learning environment including communication channels to support multi stakeholder networks and to strengthen ri coordination the irc will also serve related aueu policy priorities such as the climate change and sustainable energy and the innovation agenda of the hlpd as well as the european green deal priorities and farm to fork strategy and the au priorities like the african free trade area