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epigenome establishment and maintenance of the inactive x chromosome in response to dna doublestrand breaks in mammalian cells
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the dna damage response takes place on a chromatin substrate and triggers profound chromatin alterations chromatin states vary substantially between genomic regions driving distinct gene expression profiles and also different dna damage repair responses one striking example is the heterochromatinization of an entire chromosome the inactive x chromosome in female mammals that is silenced during embryonic development by facultative heterochromatin formation how the facultative heterochromatin state of the inactive x responds to dna damage and impacts dna repair is poorly understood my research project aims at identifying chromatin changes that accompany the repair of the most cytotoxic form of dna damage dna doublestrand breaks dsbs in facultative heterochromatin and the mechanisms that ensure the establishment and maintenance of the inactive x chromosome in response to dna damage in mammalian cells to generate dsbs i use the crisprcas9 technology that allows sequencespecific targeting of the cas9 nuclease thanks to available bioinformatic tools i can discriminate between active and inactive x chromosomes analyze the genomic instability profiles induced around the break sites and decipher the repair pathway involved in parallel i will profile the chromatin marks associated with the inactive x chromosome in the vicinity of dsbs to assess the impact of dna damage and repair on heterochromatin maintenance moreover i will test the hypothesis that the high level of replicative stressinduced breaks in embryonic stem cells could drive heterochromatin establishment and thus skew the choice of the inactive x chromosome for this i will study the impact of generating dsbs on one x chromosome of mouse stem cells on their differentiation potential and their propension to inactivate the damaged x chromosome together this work should shed light on the interplay between the dsb response and facultative heterochromatin states
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analysis of skills training research and innovation opportunities in space
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the goal of the astraios project is to provide an exhaustive view and understanding of the current and future offer of space curricula and courses in the eu27 characterise the demand from european space industry in the next 1015 years and identify actionable ways towards the alignment of the european space sectors curricula and qualification capabilities with skills required by the sector to foster innovation and increase eu competitivenessthese goals will be achieved by mapping the educational offer across the eu27 at bachelor master postgraduate and continuing education levels and measuring the average time and cost required for a degree leading to a career in the space sector a socioeconomic analysis of the population of students enrolled in spacerelated studies will be performed which together with the education data will create a europewide space competencies and skills taxonomy to support the identification and analysis of the excellences and shortcomings within the european academic offer for the space sectorthe project will analyse future trends and challenges of the eu space sector through desk research direct industry consultation and automated methods the analysis will cover current and future needs in both technicalhard skills and soft skills such as collaborative working multidisciplinary approaches and creative thinking that future european students need to develop final outputs will include recommendations of actions towards a better alignment between the european space sectors curricula and the skills required by the future eu space sector new materials to promote space related jobs and careers and educational material developed for the copernicus and galileo sectors the consorium in place to achieve this has extensive coverage of the eu27 space education and industry sector
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biomechanical modelling and computational imaging to identify different causes of back pain in large epidemiological studies
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chronic back pain is a major burden and source of disability worldwide it is primarily attributed to different biomechanical factors but can also have inflammatory neurological or psychological causes clinical findings and conventional imaging cannot reliably distinguish different causes of back pain in contrast individual biomechanical models can quantify diverse pathologic loading patterns and thus could be used to distinguish different aetiologies of back pain to better understand individual pathophysiology and guide preventive strategiesduring my recent ercstg iback i developed quantitative imaging methods and deeplearning based image processing to automatically generate a fully individualized biomechanical model of the thoracolumbar spine simultaneously two largescale epidemiologic studies collected clinical and highresolution imaging data of the spine of more than 15000 participants so far aiming at more than 35000 participants by mid 2022 the highlevel objective of ibackepic is to use such novel image analysis techniques to identify different biomechanical and inflammatory causes of back pain in study participants i will adopt and extend my recently developed deeplearning based spine labelling and segmentation algorithms to fully automatically calculate individual biomechanical functional and morphometric parameters of the spine in this largescale population data i will identify different biomechanical loading patterns use quantitative imagebased parameters to discriminate normal ageing from pathologic degeneration and identify pathological conditions that are linked to back pain or subsequent development of chronic back pain such a differentiation for the first time based on quantitative image data will allow for a better understanding of the underlying pathophysiology of back pain an improved risk stratification a tailored investigation of genetic causes and thus will help to better guide preventive strategies
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ground operations of liquid hydrogen aircraft
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developing aircraft using hydrogen is seen as a major lever to reach netzero co2 emissions by 2050 and to secure the longterm sustainability of air travel in order to enable a widespread development of hydrogen aviation it is essential for airport operators that a future regulatory framework is implemented for the handling of large quantities of hydrogen at airports and that there is a clear understanding of how hydrogenpowered aircraft will be integrated into airport operations and the required changes to current aircraft ground handling operations are known in parallel to this and for industrial partners it is also necessary to develop new groundhandling equipment for hydrogen aircraft and more specifically liquid hydrogen refuelling equipment that will enable safe and efficient turnaround operations goliat will demonstrate liquid hydrogen aircraft ground operations at three different types of european airports using a small hydrogen operated aircraft allowing the necessary procedures to be developed it will also through two demonstrators showcase several critical technologies needed for future certified highperformance liquid hydrogen refuelling in parallel goliat will answer key questions that will lay the foundations for the standardisation and certification framework of future safe hydrogen operations indeed a key output of the project will be the gap analysis of certification rules and requirements for ground operations and equipment finally goliat will also assess the sizing and economics of hydrogen value chains for airports critical for the competitive development of hydrogen powered aviation to achieve its goals goliat reunites technology providers aircraft manufacturers liquid hydrogen suppliers logistics experts cryogenic component manufacturers and standardisation experts and academia as well as several european airport operators all of whom will be supported by easa
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biomarker based diagnostic toolkit to personalize pharmacological approaches in congestive heart failure
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heart failure hf is a chronic clinical condition involving up to 65 million people in europe the most frequent cause of hospitalization in adults with a 5year mortality rate up to 70 several drugs positively modify the course of disease in the patients with hf with reduced ejection fraction hfref with a high level of evidence besides the use of diuretics the basic cornerstone of symptoms relief in hfref by targeting congestion is supported by poor and outdated evidence congestion drives symptoms worsening leading to hospital admission clinical evaluation of congestion is often inaccurate and insensitive to detect interstitial or intravascular fluid overload and thus insufficient to guide use of diuretics indeed their use is inefficient with studies showing that up to 70 of patients with chronic hfref show congestion despite diuretic therapy the use of diuretics does prevent clinical events in patients discharged after an acute heart failure episode and diuretics may represent a barrier to adherence to disease modifier therapies an appropriate management of diuretic therapy is therefore crucial to overcome the risk of rehospitalisation manage patients symptoms and achieve target guidelinedirected medical therapy to fill these gaps biotoolchf will 1 validate a set of qualified biomarkers estimating congestion 2 define a multiparametric artificial intelligencebased score predicting congestion and prognosis 3 develop a decisionmaking tool to manage congestion by diuretics 4 develop a point of care companion diagnostic cd to assess biomarkers concentrations 5 set up a strategy plan for industrial development and market access of the cd this approach will support the definition of a framework to regulatory agencies and scientific societies to disseminate recommendations for a more efficient use of existing pharmaceuticals and allow a personalised strategy for the management of hfref by using new tools and digital solutions
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exchangecoupled nanowirenanoplatelet composites for highperformance sustainable magnets
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in the magwire project we will explore the fundamental mechanisms optimize the performance and upscale the synthetic protocol for the next generation of sustainable highperformance nanocomposite permanent magnets the project will combine and exploit the key individual expertises of dr matilde saura muzquiz experienced researcher in the synthesis and structuralmagnetic characterization of nanostructured ferrite magnets and of prof lucas perez project supervisor in the field of nanomagnetism and nanowires synthesischaracterization the research will build on considerable recent improvements in the performance of strontium hexaferrite magnets achieved through crystal engineering ca and aldoping and bottomup nanostructuring size and morphology control as well as on promising preliminary results for hexaferritenanowire magnetic composites in magwire we will develop a novel highperformance exchangespring nanocomposite magnetic material based on a synergistic nanoscale combination of highcoercivity plateletshaped sr1xcaxfe12yalyo19 nanoparticles and highmagnetization fexco1x nanowires the anisotropic shape plates and wires of the constituent nanoscale components will drive an inherent selfinduced alignment which will further improve performance in addition we will establish scalable synthesis routes based on a fundamental understanding of the mechanisms in play that will be elucidated by in situ synchrotron xray scattering investigations of the nanoplatelet and nanowire formation
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just transition to a green and digital future for all
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the policies driving the green and digital transitions or twin transitions are intended to level the field to achieve the european growth model and attain the eu green deal and the uns sdgs however these policies have had unintended and unforeseen effects creating new inequalities andor aggravating existing ones those primarily affected are social groups already at risk and eus most vulnerable regions public authorities and policymakers at local national and european levels therefore need evidencebased understanding of these inequalities and concrete ways to prevent andor mitigate these the readjust project aims to suggest policy options for overcoming these potential tradeoffs between efficiency and equality in twin transitions in the key sectors of mobility and agrifood the green and digital policies are intended to level the field for attaining sdgs however they may return uneven distribution of access to the transitions and their benefits readjust aims to suggest options for overcoming the perceived tradeoff between efficiency and equality in policy and to make inclusive growth a reality policymakers portray a future that is green and digital for the eu and they aim to continuously contain the unintended consequences of the green and digital transitions in terms of inequalities generating zero negative effects on the climate can be efficiently achievable by twining green and digital transitions nonetheless individually and jointly the transitions might widen the existing inequality gaps this project aims to contribute to policies for fair and just twin transitions to mitigate existing inequalities driven by the twin transitions and minimize the transitions unintended consequences for equality in this project we strive to address the inequalities created or exacerbated by the twin transitions policies in certain domains policies of green and digital transitions which are aimed at the growth of the entire or its subsections
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dissecting the molecular mechanisms of cellular heterogeneity controlling infectionassociated development in plant pathogenic fungi
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clonal microorganisms display cellular heterogeneity at the transcriptional level to survive under unfavourable conditions or differentiate into specialised structures this is the basis of antibiotic and fungicide resistance but very little is known about how cellular heterogeneity originates and operates in the infection biology of agricultural fungi magnaporthe oryzae is one of the most devastating fungal pathogens in the world that destroys enough rice to feed 60m people every year it produces 50000 new spores a day from a single lesion in the fields but it remains unknown whether they are transcriptionally different spores contain three cells that display cellular heterogeneity between them during appressorium development a specialised cell necessary for infection two of the cells undergo autophagy rapidly and the third undergoes a mitotic division leading to the formation of the appressorium the mechanism by which cellular heterogeneity operates in spores has never been elucidated this proposal will identify for the first time the molecular mechanisms driving cellular heterogeneity and genes subjected to it an unparalleled resolution of the infectionassociated developmental program of individual spore cells will be obtained by scrnaseq which will identify a cohort of virulence factors critical for infection i propose that the underlying mechanism of cellular heterogeneity is the cell cycle through the activity of cyclin dependent kinases cdks and a novel group called nonpstare cdks reported to be regulators of transcription in other organisms by a stateoftheart chemical genetic approach combined with phosphoproteomics their role and signalling pathways will be determined overall with this proposal novel components associated to the infection process of one of the most threatening fungal pathogens in the world will be determined opening avenues that up to date have not been explored and whose potential is inestimable
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climate change impacts on trees reproduction and forecasts of forest recruitment change
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the capacity of future forests to support biodiversity and deliver ecosystem services will depend on reproductive capacities that keep pace with 21st century climate change the european continent is warming and drying out fast and similar changes are happening word wide the decadescale trends in biodiversity will be governed by tree fecunditythe capacity of trees to produce seed and to disperse it to the habitats where populations can survive in the future from the boreal to the tropical forests including in majority of european tree species reproduction happens through synchronized quasiperiodic nonstationary variation in fruit production termed masting or mast seeding despite the crucial role of mast seeding in plant regeneration and wider ecological processes our understanding of this process is rudimentary poor understanding of the mechanisms that govern it are challenges for anticipating alternations in forest reproduction and function reliable predictive models are consequently not available and the unpredictable recruitment of trees has become a key obstacle to understanding forest change recruitment including reproduction and dispersal is the most undeveloped demographic process in earth system models this work will transform our understanding of mechanisms governing trees reproduction and deliver tools for predicting forest reproduction trajectories under climate change the main outcomes will be the first experimental description of how masting emerge at proximal level and how this is conserved among species this will be also the first explicit test of how variation in masting patterns matters for forest regeneration trajectories together with analysis of global reproductive patterns our work will deliver a stepchange in identifying species and regions of special conservation care
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modelling the chemiosmotic mode of atp synthesis in protocells
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all modern organisms feature chemiosmosis ionmotiveforce driven processes including membrane transport and atp production and therefore the last common universal ancestor luca is believed to be chemiosmotic although contradictorily as for chemiosmosis to happen cells utilise membranes relatively impermeable to the coupling ion h or na it has previously been shown that theoretically luca could drive chemiosmosis using a geochemical hgradient but only if it had a leaky membrane however a leaky membrane rapidly achieves electrochemical equilibrium offsetting theh influx for the h influx and therefore chemiosmosis to continue the membrane needs a system to pump hparadoxically pumping h across a leaky membrane is futile a potential solution has previously been hypothesised in the form of membranes leaky to h that harboured an atpsynthase coupled to both h and na and an antiporter that pumps out na for incoming h such a nah antiporter could convert the geochemical h gradient into a nagradient it would be advantageous to do so as a nagradient could be better sustained by the luca membrane and could drive atp production via the promiscuous atpsynthase my project aims at obtaining empiricalmvalidation for this hypothesis to do so a promiscuous atpsynthase will be coreconstituted alongside a nah antiporter into fattyacidcontaining hybrid liposomes made from fatty acids and other amphiphilic phospholipids iongradients will be imposed on the liposomes by phjump ordecarboxylasecatalysed alkalisation methods to test whether the system could a convert the hgradient into a nagradient via the nah antiporter and b use the na gradient to drive atp production via the promiscuous atpsynthase this study is critical to understand the evolution of chemiosmotic systems and will have implications in evolutionary and synthetic biology as well as astrobiology
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designing and thin film engineering of organic plastic ionic ferroelectrics towards multisensor electronic skin
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organic plastic ferroelectrics with inherent pyroelectric and piezoelectric properties have the potential to outperform traditional ceramic ferroelectrics particularly in terms of sustainability and large area fabrication as flexible coatings the latter is highly sought as means to continue the current evolution of humanoid robots by offering touch sensitive electronic skins ferroplast focuses on development of plastic ionic crystals pics as the active sensitive component of such skins pics are comprised of globular ions tethered by weak intermolecular forces and demonstrate plastic crystal phase at higher temperatures the pic ferroelectrics possess intriguing features as high pyro and piezoelectric coefficients malleability and multiaxial polarization suitable to realize multisensor property in flexible thin films ferroplast proposes 1 rational designing of pics based on chirality ionic size and intermolecular interaction strength to have high pyropiezoelectric coefficients 2 fabrication of crystalline and phase pure pic thin films embedded in elastomer by molecular layer deposition mld for application as flexible electronic skin 3 study of crystal phase landscape in thin films under variable temperature and pressure using grazing incidence xrd to estimate multisensor ability of pics 4 selection of ions by insight in entropy of phase transitions as calculated by first principle dft studies at the core of ferroplast is knowledge building and exchange between the experienced researchers background in supramolecular chemistry to design and synthesize pic ferroelectrics and the hosts core focus on mld thin film engineering and characterization of physical properties in thin film structures and the secondment on first principle dft calculation of lattice phonon density of state ferroplast will expand the competence and focus of all parties by mutual aid and competence building to push our respective fields further beyond state of art
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hybrid spintronic synapses for neuromorphic computing
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at spinion technologies we develop a new manufacturing solution based on ion beam processes to precisely engineer magnetic materials at the atomic scale this result enables the development of new neuromorphic chips based on low power synapses composed of magnetic devices that can overcome both catastrophic forgetting and reduce device variability hence greatly advancing the development of highly efficient robust hardware amenable to neural applications on the edgeour transition project involves both hardware software developments to demonstrate implementation of an artificial neural network on a magnetic chip which will bridge computational neuroscience and deep learning while generating strong impact for future embedded and neuromorphic systems this project also covers all necessary steps for full commercial readiness including problemsolution validation market research competition analysis establishing ip strategy ensuring regulatory compliance stakeholder engagements dissemination activities construction of a detailed business plan and securing future funding
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towards a social neuroscience of healthrelated decisionmaking
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social relationships have important effects on health and disease our interactions with others feelings of social isolation versus connection and perceived social norms influence behavior physiology and even mortality yet an ongoing challenge is to understand the brain mechanisms underlying social context effects on human health which could ultimately enable us to use neuroimaging to predict psychosocial risk factors and individual vulnerability to unhealthy lifestyle i propose to address this challenge by testing how social norms and social relationships influence food and alcohol craving and healthrelated decisionmaking paralleling my recently developed brain signature of food and drug craving i predict that i can develop a brain signature of social cravingour unfulfilled need for social contactusing fmri and machine learning and that responses of this signature are associated with increased susceptibility to social context effects on decisionmaking and health work package wp1 will test the effects of social influence on food craving drink craving and delay discounting and whether social influence effects generalize across tasks wp2 will test whether and how social rejection versus connection increases food and drink craving delay discounting and social craving wp3 will use machinelearning to develop a new neurophysiological signature of social craving and use data from all wps to investigate whether responses of this social craving signature are associated with 1 susceptibility to social influence 2 social rejection effects on decisionmaking and 3 aggregate measures of lifestyle mental and physical health by uncovering the brain bases of social context effects the socialcraving project will transform our understanding of the neurophysiology underlying craving and healthrelated decisionmaking and allow for a new level of brainbased prediction of individual vulnerability to psychosocial risks and negative health outcomes
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mobile biolab to support first response in arbovirus outbreaks
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the who estimates that vectorborne diseases vbd account for more than 17 of all infectious diseases every year more than 25 billion people are at risk of contracting dengue alone and vbds cause almost 1 million deaths in the last decades several species of invasive disease carrying mosquitoes have invaded the northern hemisphere of the planet through the transport of goods increasing international travel and climate change in 2018 a west nile fever outbreak transmitted by mosquitoes occurred in the eu for this disease there are no vaccines or medications there were 1503 cases reported in 11 countries and 181 deaths vbd mobile biolabs could have assisted health authorities in containing this outbreak reducing cases and preventing deaths unfortunately such a system does not existmobvec will be the first vbd mobile biolab providing1automatic information about vector populations obtained in realtime by smarttraps powered by machinelearning and edge computing insect species sex age and viral infection2geoss compliant vector risk maps of adult insects and eggslarvae built on field copernicus data3geoss compliant disease transmission models in mosquito populations fusing data from copernicus clinical and diagnostic data of reference labs and vector risk maps4geoss compliant citizenscience platform to reinforce the surveillance of mosquitoes using citizens as observation nodes5vbd mobile biolab with the capacities of points 1 2 3 and 4 vbd epidemiological maps and forecast models to be rapidly operational in the heart of outbreaks to assist firstrespondersthis technology will the first line of defence against disease vectors worldwide help prevent and fight devastating disease outbreaks and will save lives while saving millions of euros in healthcare and lost workinghours this has never been done before and our consortium has the interdisciplinary research capacities to make it a reality
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qsm in plaque vulnerability diagnosis a software tool for early clinical assessment
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stroke is the leading cause of disability and the third leading cause of death in the western world over 50 of strokes occur inasymptomatic patients and therefore better indicators of the disease are required these acute asymptomatic cerebrovascularevents are due to vulnerable plaque rupture leading to thromboembolic events stroke andor sudden death from our work todateas part of erc starting grant fibreremodel we have found that that most significant contributor to rupture strength of a plaque isthe underlying collagen fibres within this tissue particularly within the fibrous plaque cap the underlying structure of the carotidplaque may therefore be used to determine the risk of vulnerable plaque rupture however a noninvasive diagnostic techniquewhich uses knowledge of in vivo arterial collagen content has yet to be developed vascoll will generate the first software toolthat can inform on plaque vulnerability in a noninvasive way enabling early diagnosis of the predisposition of a carotid plaque torupture and facilitating the selection of the optimum treatment minimising the need for surgery and healthcareassociated coststhis approach will offer a number of significant benefits over current approaches to vulnerable plaque identification firstly thistechnique will be the first ex vivo and in vivo application of the qsm technique to human arteries and carotid plaques to exploit thesensitivity of magnetic susceptibility to collagen content in arteries secondly this technique is relatively easy and efficient totranslate in vivo given that this method determines the underlying plaque and vessel structure not merely level of stenosisvascoll will transform how vulnerable carotid plaques are identified and treated
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business plan 20232025 for the crosskic strategic education cluster
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the crosskic strategic education cluster edu cluster is an unprecedented endeavour to integrate systematise and leverage education activities from different kics create joint offerings and open new opportunities for raising eits profile and market penetration by ensuring interactions and synergies between kics educational activities the edu cluster creates crosscutting opportunities fosters peerlearning and allows efficiency gains as a result eit partners are equipped to innovate solutions to global challenges tackled by european policies most notably the green deal and the deep tech talent initiative dtti the different work packages wps comprising the edu cluster reflect the need for transversality of eits educational offer wp2 will develop execute and scale the dtti by training one million deep tech talents by 2025 therefore contributing to the new european innovation agenda wp3 will build on its success with the girls go circular project by expanding its educational resources and reach to all eu member states wp4 will support the longterm sustainability of the eit alumni community while ensuring inclusion and diversity wp5 will scale up the eit virtual campus vc through upskilling or reskilling learners with competences in line with market demand eit vc will become the goto educational portal to address knowledge needs in europe and complement the resources of higher education institutions wp6 will actively implement the eu next generation innovation internship scheme to place deep tech and aspiring innovators as interns at eic and eitsupported startups and scaleups the edu cluster in synergy with other crosskic clusters and the hei initiative will keep strengthening the crosskic offering along the entire education value chain
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machineassisted teaching for openended problem solving foundations and applications
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computational thinking and problem solving skills are essential for everyone in the 21st century both for students to excel in stemcomputing fields and for adults to thrive in the digital economy consequently educators are putting increasing emphasis on pedagogical tasks in openended domains such as programming conceptual puzzles and virtual reality environments when learning to solve such openended tasks by themselves people often struggle the difficulties are embodied in the very nature of tasks being openended a underspecified multiple solutions of variable quality b conceptual no welldefined procedure c sequential series of interdependent steps needed and d exploratory multiple pathways to reach a solution these struggling learners can benefit from individualized assistance for instance by receiving personalized curriculum across tasks or feedback within a task unfortunately human tutoring resources are scarce and receiving individualized humanassistance is rather a privilege technology empowered by artificial intelligence has the potential to tackle this scarcity challenge by providing scalable and automated machineassisted teaching however the stateoftheart technology is limited it is designed for welldefined procedural learning but not for openended conceptual problem solving the tops project will develop nextgeneration technology for machineassisted teaching in openended domains we will design novel algorithms for assisting the learner by bridging reinforcement learning imitation learning cognitive science and symbolic reasoning our theoretical foundations will be based on a computational framework that models the learner as a reinforcement learning agent who gains mastery with the assistance of an automated teacher in addition to providing solid foundations we will demonstrate the performance of our techniques in a wide range of pedagogical applications
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the division of labor in production networks
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the division of labor breaking down work into tasks so that workers can specialize in a subset of tasks is believed by many economists to be key to economic progress by providing efficiency gains when producing goods and services a key feature of the modern economy is that the division of labor is increasingly taking place between firms in a production network as firms fragment production along the supply chain both within and across borders johnson and noguera 2017 this project aims to provide new frameworks and novel evidence on how deepening production networks shapes the division of labor within and across countries with particular emphasis on labor market implications of production networks specifically division will investigate how production networks jointly shape efficiency and equity what are the economic effects of deepening production networks on efficiency specialization and growth and what are the effect on wages the skill premium skilled relative to unskilled wages and earnings inequality this comprehensive and ambitious analysis includes developing new methods and economic frameworks as well as providing new datasets and novel empirical evidence economic growth has slowed down since the 200708 global financial crisis european firms are getting older and less dynamic and economic inequality is increasing in many parts of the world a rigorous analysis of the role of production networks for efficiency and equity is therefore urgently needed to address todays main societal challenges
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calcium looping to capture co2 from industrial processes by 2030
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calby2030 will be the enabling tool to achieve commercial deployment from 2030 of calcium looping using circulating fluidised bed technology cfbcal three trl6 pilot plants across europe sweden germany and spain will be developed for testing under industrially relevant operating conditions to maximise impact these pilots will investigate the decarbonisation of hard to abate co2 emission sources flue gases from modern and future steelmaking processes that rely mainly on electricity emissions from modern cement plants that cannot escape from the use of limestone and from wastetoenergy and biochp power plants that fill the gap in scalable dispatchable power and allow for negative emissions these pilots will collectively generate a database of over 4000 hours of operation this data will be interpreted using advanced modelling tools to enable the scaleup of the key co2 capture reactors to fully commercial scale process technoeconomic simulation cluster optimisation and life cycle analysis will be performed to maximise renewable energy inputs and materials circularities all this information will form the basis for undertaking feed studies for the demonstration plants in at least four eu locations innovative cfbcal solutions will be developed and tested to reach 99 co2 capture rates reaching for some process schemes costs as low as 30 tco2 avoided and energy intensities with specific primary energy consumption per co2 avoided below 08 mjkgco2 when o2 from electrolysers is readily available as an industrial commodity societal scientists and environmental economists will assess the social acceptability and preferences for zero or negative emissions cal demonstration projects with novel methodologies that will elucidate and help to overcome current societal barriers for the implementation of ccus the consortium includes the worldleading cfb process technology developer key end user industries and leading academics including cal pioneers
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disrupting the migraine continuum of care for resource constrained settings
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chronic migraine is defined as a headache persistent for more than 3 months or a severe headache persistent for more than 15 days within a month it affects approximately 2 of the world population the world health organization classifies severe migraine attacks as among the most disabling illnesses comparable to dementia and quadriplegia treatments start with pharmaceutical drugs which have contraindications and severe side effects and often remain ineffective in chronic migraine patients injectable treatments like botox and nerve blocks can be effective but require multiple sessions per year and also have undesirable effects treatments using neurostimulation products that deliver electrical pulses to the occipital nerve have been up to 80 effective but they are designed for the back not the neck which results in high rates of surgical revisions this leaves the chronic migraine population severely underserved and in need of an innovative solution our vision is fundamentally based on disrupting the continuum of care and referral pathway by creating a more effective nonsurgical solution that reduces cost and risk and therefore increases accessibility to more physicians and patientsthe consortium will develop a novel platform for the treatment of chronic migraine that will be particularly applicable to resource restricted environments and targeting underserved patients we are working on 4 elements working together seamlessly 1 lunaair an implantable electronics device with neural write stimulation 2 lunacontrol a wearable device that will communicate with and power the implantable device 3 lunaapp a mobile app to control the implant 4 lunainject an ergonomic minimally invasive injection device that minimises tissue trauma and training required for physicians
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marginal saharan lites extraafrican and intraafrican students mobilities
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the marels project aims to study the connections between saharan pastoral minorities and the conflictual situation in mali and niger through the unusual prism of growing highereducation student mobilities like other young africans saharan students increasingly cross the borders in search of knowledge in another country for the purpose of gaining professional perspectives and acquiring global skills and languages further weakening the number of highly trained saharan professionals saharan nomadic populations have been characterized in the past by difficult access and high dropout rates across all levels of education largely due to conflicts poor infrastructure and economic vulnerability compared to urban regions in the saharasahel it is believed that student international mobilities have the capability of ushering in a new set of saharan leaders who are competent to make the best use of human and material resources for the promotion of a peaceful prosperous and integrated saharasahel in africa the challenge of this project is to write the unknown histories of saharan graduates and to revise the common narrative of the sahara as isolated and disconnected from the rest of the world following the mobility turn in anthropology although much research has been produced on saharan mobilities scarce attention is given to student mobilities the marels project aims to fill this gap and provide an answer to the following questions what role do saharan professionals trained in international universities play in their home societies given the sometimes conflicting expectations from the local community traditional lites institutions government companies foreign actors eg ngos military forces etc how do saharan graduate lites establish objectives and strategic actions oriented towards meeting these expectations when they are in a diaspora in the global north
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gut microbiomemediated activities of psychotropic drugs
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mental illnesses are among the most prevalent health burdens with major depression ranking fourth among the leading causes of disease worldwide although diverse psychotropic drugs are available the delayed onset of drug action high nonresponder rates and frequent side effects still pose significant challenges several observations suggest the gut microbiome as major contributor to high interindividual differences in drug responses while there is evidence that these drugs lead to changes in the microbiome composition of patients it has not yet been explored whether these effects are part of the drug mode of action andor whether they contribute to side effects the aim of this project is to investigate to what extent gut microbes are involved in the therapeutic outcome of psychotropic drugs by employing model synthetic and patient derived microbiome communities from stool of drug responders nonresponders and healthy controls and in vivo gnotobiotic mouse models we will systematically characterize the reciprocal interactions between gut microbes and commonly used psychotropic drugs ex vivo from microbial drug metabolism to druginduced bacterial secretion of neuroactive compounds for intriguing interactions we will elucidate the underlying mechanisms and use the knowledge to design engineered microbiomes we will then employ gnotobiotic knockout mice deficient for primary drug targets of psychotropic drugs and colonize them with microbiome communities carrying the different mapped traits to separate the contribution of drug effects originating from the microbiome from those of the host overall our results will inform microbiomeguided therapeutic strategies whose improved efficacy we will test in vivo due to the transferability of the developed technology and if successful this new research direction could not only revolutionize psychotropic drug therapy but also pave new ways for improving personalized drug therapy for many other diseases
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co2 free production of critical raw materials using hydrogen
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several materials are produced by carbothermic reduction using fossil carbon as a raw material and with co2 as an unavoidable byproduct since the use of hydrogen does not generate co2 emissions hydrogen can be a solution for decarbonising these otherwise hardtoabate industries infact hydrogen from renewable energy sources is expected to contribute to decarbonise a large part of the eus metallurgical industry by 2050 however since it is not as strong a reducing agent as carbon there are several metals that cannot be produced directly with hydrogen some of these such as silicon si and manganese mn are crucial for successfully building europes clean technology value chains and meeting the eus 2050 climate neutrality goal in fact si and mn are both defined as critical raw materials crms and strategic raw materials srms the european commission has proposed a regulation on that aims to strengthen the eus capacities and resilience along the crm and srm value chains this cannot be done in a sustainable way unless production of crms and srms can be performed without co2 emissionsthe overall ambition of mecalo is to develop an innovative co2free production concept for crms where renewable hydrogen is used to eliminate the need for fossil carbon our goals areto target 95 reduction of co2emissions from si and mn productionto replace 9 million tonnes of annual coal imports by 15 billion nm3 of h2 in 2050to save 33 million tonnes of annual co2 emissions in 2050our concept will be applicable to all carbon reduction processes without any need for completely new low trl production technology therefore mecalo will strengthen the eus capacities and resilience for a secured and sustainable supply of these crms mecalo is gathering eu leading rto and industries along the crm value chain including two major players in the field of si and mn production
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cloudedgeiot spheres of largescale pilots
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ceisphere aims to support the development of an open interoperable and competitive ecosystem that encompasses the cloudedgeiot largescale pilots lsps particularly those funded under the cl42024data0103 call and their stakeholders ceisphere will play an accretive role in supporting the commission and the lsp community to achieve better outcomes including i gaining a detailed understanding of the usecases their level of maturity their value chain and their markets ii identifying horizontal challenges and synergies that can help fast track results iii supporting the development of open ecosystems through interoperability iv securing the interoperability robustness and scalability of the cei solutions through standards that can be promoted internationally v connecting to other cei deployment drivers including technological drivers such as the mass adoption of gen ai regulatory and environmental drivers to this end ceisphere will produce 1 a highlevel reference cei architecture 2 usecase catalogue with trl value chains rules of engagement and target markets 3 cei market analysis reports and forecasts 4 gtm guideline for lsps 5 openclosed source development boundary minimum interoperability standard 6 guidelines on privacy enhancing technologies 7 cei tech backbone kit for open edge ecosystem based on holistic assurance framework 8 cei certification framework 9 10 synergies to facilitate the sharing of insights resources and best practices and 10 an innovation ecosystem visualisation tool with 50 cei use cases ceisphere brings together a strong consortium comprised of 3 smes blu tria trustit 2 companies idc vdi 2 industry associations aioti inside and 4 affiliated entities with specific relevant expertise ceispheres outputs dissemination through a detailed exploitation plan to reach cei tech adopters providers facilitators innovators will maximise the projects impact
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multilingualism and sustainability in education in amazon trapezium
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multiseat is a timely participatory research project aiming to expand the frontiers of multilingualism toward socioecological and environmental research to contribute to education for nature protection and sustainability focusing on an indigenous multiethnic and multilingual school in leticia amazon trapezium the project has three research objectives 1 design and implement multilingually a communitybased participatory methodology allowing the collection of socioecological and ethnographic interactional data about food supply systems fss deforestation def and ecotourism ecot 02 provide insights into the ideological stances perceptions attitudes beliefs and representations that the school community and their families have on these socioecological issues and 03 design a pilot of three researchbased multilingual inclusive teaching sequences mits to tackle fss def and ecot within the indigenous school to achieve these aims multiseat will empower young people from the school through participatory research engaging them in collecting quantitative and qualitative socioecological and ethnographic data analysing indigenous perceptions of environmental issues will provide insights into the complex relations between people language and nature also by considering language as a plurilingual praxis in the design of the mits we will focus on what people do and can achieve with their multilingual resources as ecolinguistic capital at project end the scientific community will have an empirically based comprehensive understanding of how the triangle peoplelanguagenature works we will also provide expertise and guidance to nonindigenous local and global communities policymakers smes interested in bioeconomy teachers privatepublic funders and stakeholders engaged in sustainability in amazonia in the implementation of interdisciplinary methods to operate changes through multilingualism education and environmental research
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preventing humaninduced seismicity to fight climate change
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climate change poses an imminent threat to our civilization prominent new technologies to fight climate change involve the earths underground renewable and sustainable energy resources and underground storage however all these technologies depend on the injection of fluids into the earths crust which in turn can cause significant earthquakes inject will solve this problem on the basis of a new groundbreaking scientific method that will prevent humaninduced seismicity and will maximize energy production and storage from renewable and sustainable natural resources injects interdisciplinary methodology is based on an astute scientific programme that brings knowledge far beyond the current state of the art it brings control theory and mathematics to the heart of this new challenging problem based on cuttingedge theoretical developments robust controllers and observers will be designed to optimally adjust fluid injection rates prevent induced seismic events over large regions and optimize energy production and storage the controllers will be derived using rigorous mathematical proofs and will take account of the complexity the heterogeneities and the various uncertainties of the underlying physical processes injects innovative theoretical methods will be thoroughly tested through novel numerical models and original experiments highfidelity numerical models will account for poroelastodynamics coulomb friction multiphysics and reducedorder modeling and will outpace any existing algorithms in fault mechanics both in terms of speed and accuracy the experimental plan will build on a novel laboratoryscale demonstrator and hybrid labcomputer testing that will be designed and constructed to experimentally validate injects new concepts only then will it be possible to apply injects methodology in practice and unlock the significant energy potential of the earth reduce carbon emissions and help save our civilization
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imdea nanociencia doctoral training programme in nanoscience
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ideal phd programme is a new doctoral fellowship programme promoted by fundacin imdea nanociencia imdea nano that aims to attract 12 talented researchers in two open calls to undertake excellent research in any of the programmes at the institutep1 nanotechnology for energy harvesting p2 quantum materials at the nanoscale p3 nanotechnology for healthcare p4 nanomagnetism for information and communication technologies p5 ultrafast phenomena at the nanoscale and p6 sustainable nanotechnologies and critical raw materials the research programmes are supported by a platform for disruptive innovation which encourages links with industry to help achieve translation of results to market provide support and facilities for prototyping proofofconcept testing and scalingup they will be offered secondments of 36 months at partner organisations relevant to their research careers both academic and nonacademic depending on preferencewithin the ideal phd programme we aim to boost the careers of talented researchers offering them an innovative truly interdisciplinary and intersectoral training in nanoscience and nanotechnology imdea nano is committed to providing a pool of researchers with the skills and knowledge needed to tackle the next challenges in the nanoscience fielddoctoral candidates will receive a wellbalanced research independence and mentoring from an experienced scientific and management team as well as access to an infrastructure of the highest level for the pursuit of their projects in nanoscience and nanotechnology fundacin imdea nanociencia is a nonprofit foundation created in 2006 jointly by the regional government of madrid and the government of spain to shorten the distance between research and society providing new capacity for research technological development and innovation in the field of nanoscience and nanotechnology
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automated maskless laser lithography platform for first time right mixed scale patterning
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laserbased technologies for creating structures in the range from nanometer up to millimeter size find many applications such as free form optics photonics multifunctional surfaces labonchip etc with a global market volume of 200 billion euros the original structures know as masters are the first step in the making of tools for keyenabling technologies like injection molding or nanoimprinting some of the current limitations in the laser lithography processes are the limited depth of the structures small area and low speed at process level highpower consumption in the laser interference lithography and multiple and expensive processes required for the development of hierarchical multifunctional structures at industrial levelthe optimal project will integrate for the firsttime different laser lithography technologies quality monitoring systems and processes in one platform for the development of structures with i high depth 150 micrometer ii dimensions in the range from 100 nm to submm in xyz iii 2d3d shape on flat surface iv combining parallel serial patterning v no need for external treatments on samples vi increased speed 1 cm2min and large area up to 2000 cm2 vii 40 of reduction in the consumption of resources for the whole manufacturing process the optimal project uses selflearning algorithms to optimize the virtual photomask as well as integrates methods for an inline control of the laser patterning by accelerating and upscaling the structuring process the optimal project will increase the process efficiency and yield which will reduce the energy consumption avoid material waste decrease costs and lead time in many applications the platform will potentiate the possibilities in the sustainable making of high quality versatile less costly masters for industrial manufacturing as demonstrated in 4 use cases optical lenses multifunctional riblet structures virtual reality lens microfluidic chips
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optimal local algorithms via topologysensitivity
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considering the rapid growth of data sets and network sizes over the past decade there is little doubt that the future of computation is distributed one central aspect lying at the heart of distributed algorithms is the question of locality what can be computed using only local information and how much information is needed while answering this question is essential for obtaining highly efficient algorithms for many important distributed problemssuch as load balancing in massive networks locality is a fundamentally important concept also in many other fields of algorithmics such as classical sequential algorithms massively parallel algorithms dynamic algorithms sublinear algorithms streaming algorithms or online algorithmsin the context of distributed algorithms a careful analysis of recent research on impossibilities reveals the key challenges in understanding localityand therefore in designing optimal algorithmsfor many graph problems understanding 1 how to solve treelike structures efficiently and 2 how to explicitly exploit any deviations from a treelike topology algorithmically the goal of this proposal is to gain a fundamental understanding of locality via the novel concept of topologysensitive algorithms that precisely addresses these key challenges by explicitly exploiting local topological features in the input instance such an understanding will result in optimal algorithms and tight complexity bounds for many important distributed problems thereby resolving central questions in distributed algorithms that have been open for decades laying the foundations for highly efficient and scalable algorithms in massive networks and implying significant improvements over the stateoftheart in a variety of other algorithmic fields in a nutshell the proposed project aims at a world in which everything that can be done locally will be done locally
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from reconstructions of neuronal circuits to anatomically realistic artificial neural networks
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artificial neural networks anns have found applications in a wide variety of realworld problems despite this tremendous success artificial intelligence systems still face major challenges due to their reliance on extensive training and large datasets recent reports indicate that the architecture of anns could be a prime target for reducing their training and data requirementswe hypothesize that such architectural features can be identified from neuronal networks in the brain which have evolved to efficiently perform highly specialized functions recent advances in electron microscopy will soon provide detailed reconstructions of largescale neuronal networks from different brain areas species developmental stages andor pathological conditions however even if such data become available directly transforming neuronal network reconstructions into anns will raise problems of interpretability due to their enormous complexity and generalizability due to high interindividual variabilityhere we will resolve these challenges by implementing a set of computational approaches that allow the extraction of rules that explain the wiring properties underlying dense connectomics data the transfer of these anatomical principles into the design of ann architectures and the evaluation of how these principles impact performance on a battery of deep learning tasks this unique methodology will lay the foundation for groundbreaking insights into how different network architectures facilitate specific brain functions and also how the underlying anatomical principles can inform the development of more effective and efficient artificial intelligence systemsour methodology will be publicly accessible online to scientists but also to companies and nonprofit organizations that seek to improve the performance or reduce training data requirements for applications of deep learning
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molecular mechanisms of bacterial invasion and colonization in the human gut microbiota
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the human gut microbiota plays a critical role in safeguarding human health by defending against pathogens and supporting essential metabolic and immune functions nevertheless our understanding of how the gut microbiota influences bacterial invasion and evolution within the human body is incomplete due to the complexity of these interactions furthermore the specific mechanisms through which commensal bacteria such as escherichia coli successfully invade and evolve in distinct human gut microbiota compositions remain unclear the microinvader project aims to address this knowledge gap utilizing an established in vitro gut simulator to investigate the precise mechanisms underlying the successful invasion of distinct human gut microbiota ecosystems by the commensal bacterium e coli furthermore microinvader aims to characterize at the molecular level the processes that shape the evolution of invading strains in response to specific human gut microbiota compositions subsequently microinvader will validate these findings through in vitro and in vivo experiments focusing on quantifying the selection strength acting on the genetic mechanisms that are crucial for bacterial invasion and colonization in different human gut environmentsby unveiling these novel mechanisms driving bacterial invasion and colonization within diverse human gut microbiotas microinvader seeks to provide critical insights that may have farreaching implications for enhancing human health ultimately microinvader aims to contribute to our understanding of how to manipulate the gut microbiota in ways that promote and sustain overall wellbeing
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young planetesimal belts
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recent discoveries of numerous and diverse exoplanetary systems and their debris discs have revolutionized our understanding of how planets and planetesimals form one of the exciting recent developments is detection of a large number of young systems which appear to be hosting belts of planetesimals yet also unexpectedly show high amounts of gas to explain these observations novel computational models must be developed which take into account all key physical processes shaping the distribution of dust in these systems i propose to use a kinetic model of collisional evolution of planetesimals and dust combined with models of dust evolution due to gas drag and radiation pressure and models of gas structure shaped by viscous evolution and dispersal to do this i will extend the capabilities of a kinetic model previously used in studies of gasfree debris discs to account for dynamics of small dust grains in the presence of a gaseous disc this will allow to model the entire range of body sizes from dust to planetesimals in a selfconsistent way the project will require knowledge of collisional planetesimal belts as well as of the protoplanetary environment and this knowledge will be directly drawn from the existing research experience of the candidate the project will generate a transfer of knowledge to the host institution while developing the candidates theoretical and technical expertise the results of the project will be of wide use to the planetary science community as they will help to interpret future observations of young planetary systems to constrain the process of protoplanetary disc dispersal and determine properties of dust and gas that may be accreted onto planets in the last stages of their formation
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machine learningassisted simulation of metalloenzymes reactivity
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metalloenzymes play a crucial role in various biological functions going from small molecule transportation to catalyzing essential metabolic ingredients understanding their reactivity is essential for advancing a broad range of fields and related industries such as medicine biotechnology environmental science and catalysis the computational modelling of biomolecules is a pillar of new drug and catalyst design but the common methods used for purely organicbased compounds such as empirical force fields cannot simply be applied in the presence of a metal centre due to their complex electronic structure on the other hand hybrid quantum mechanicalmolecular mechanics qmmm methods provide a way to study metalloenzymes but their computational overheads prevent their largescale use for molecular dynamics simulations and reactivity studies the project machine learningassisted simulation of metalloenzymes reactivity malamer aims to revolutionize the simulation of metalloenzymes reactivity by integrating machinelearning force fields with qmmm methods and advanced sampling techniques allowing for an unprecedentedly accurate description of their activity this innovative approach will lead to significant insights and applications in catalyst development and drug discovery with a potential impact on several eu priority areas the project will commence in september 2024 under the supervision of prof lunghi at trinity college dublin with a planned 3month secondment at university college london to gain additional expertise in advanced sampling simulations from prof salvalaglio a comprehensive set of training dissemination exploitation and communication activities are planned and they will be implemented with the help of the supervisors and trinity college dublins human resources training office and innovation and technology transfer office
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enabling unobtrusive realworld monitoring of brainnetworks with wearable neurotechnology and multimodal machine learning
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measuring and linking brain network activity to human physiology and behavior in natural everyday situations promises profound new insights into healthy brain function and disorders however the absence of suitable mobile neurotechnology presents a significant roadblock functional magnetic resonance imaging fmri has greatly advanced our understanding of brain function and networks but it is limited to singlesnapshot experiments in constrained lab settings electroencephalography eeg while mobile cannot directly be linked to brain networks captured by fmri to overcome these roadblocks and to advance neuroinspired treatments and discoveries to natural environments a hybrid wearable platform is required that combines innovations in hardware and analysis methods to enable continuous and stable measurements of brain network activity maps in the everyday world advancing highdensity diffuse optical tomography hddot can provide such a suitable alternative to fmri with a unique systems engineering concept integral aims to miniaturize and integrate dot eeg and physiological sensors with advanced multimodal machine learning to improve spatiotemporal contrast in mobile brainimaging to this end objective 1 instruments will develop hardware for unobtrusive and continuous wearable brainbody imaging with hddoteeg objective 2 experiments will collect extensive multimodal data for measuring brain networks while controlling for environmental and physiological artifacts objective 3 analysis will enable estimation of brain network activity with multimodal sensor fusion and machine learning and objective 4 integration will provide validation of robust brainnetworks imaging in ecologically valid everyday world environments if successful this new platform will provide unprecedented opportunities to study brain function with global impact on neurotechnology applications and research from neuroscience of the everyday world to digital health
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patentpending cofermentation technology that mimics nature to create natural delicious and nutritious vegan seafood products
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koralo creates natural delicious and nutritious vegan seafood through a patentpending cofermentation technology that mimics naturestarting with a beach walk in the spring of 2021 koralo was born out of the idea to create a sustainable food source inspired by algae washing up on shore sina albanese a serial sustainability entrepreneur with the desire to protect our oceanic ecosystems is supported by her father dr guido albanese with over 25 years of working experience in the food industry in this transgenerational startup koralo mimics with deeptech the best example we know nature in nature microalgae are consumed by small fish that are then consumed by larger fish which end up on our plates at koralo we have replaced fish with a unique cofermentation developed in germany where mycelia of edible mushrooms feed on microalgae to create a natural fish alternative productwe have already filed two patent families on this technology and have received positive assessment reports on both our european as well as global patent applications we have tested our products with chefs and consumers both in europe and asia and are expanding our range to salmon and shellfish such as shrimps and scallops koralo is partnering with the largest microalgae producer in europe in portugal for scaling up of koralos technology with their expertise in microalgae and fermentation and we have successfully reached trl 5 6 on existing equipment to launch our european production with them we have closed an mou koralo will launch its wholecut vegan fish in q1 of 2023 in b2b channels in korea with further expansion to singapore hong kong europe and the us within the next 5 years for this end we have closed several mous with restaurants and distributors in korea already our biotechnology will allow us to reach price parity with fish already at launch and grow koralo to a global company with revenues of almost 500 m within 5 years having a positive impact
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inference in high dimensions lightspeed algorithms and information limits
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extracting information from data is the key challenge of our time and in many applications eg genomewide association studies data compression and virtual assistants such as chatgpt both the data and the machine learning model used to extract information are increasingly highdimensional as traditional statistical theory is illequipped to face this explosion in the dimensionality of the problem machine learning is now predominantly experimental however empirical approaches come with huge costs affordable only to large companies and they lack interpretability which is especially troublesome in medical applications to address these issues the inf2 project develops informationtheoretically principled methods for highdimensional inference in machine learning and data science the key insight is that via a meanfield approach highdimensional quantities are well approximated by lowdimensional ones and then characterized exactly leveraging this characterization we will i establish the fundamental limits of inference ie the minimal amount of data necessary to solve the problem and ii design efficient algorithms requiring only the minimal amount of data the challenge we tackle is to apply this paradigm to practical settings in which data are structured and heterogeneous as in genomewide association studies and models consist of complex architectures tailored to applications autoencoders for data compression and transformers for chatgpt through a novel analysis of spectral methods approximate message passing and gradient descent inf2 builds a theoretical framework having conceptual impact as well as vast applicability in machine learning and information theory this framework is then brought to the real world via applications in genomewide association studies broadly our results enable the principled design of machine learning algorithms and models drastically reducing costs and providing interpretable solutions
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scaling fluiddriven processes building collapse in extreme flow conditions
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many earth system processes involving multiphysics multiphase conditions extend over several orders of magnitude in length and timescales engineering science in pursuit of deeper process understanding and solutionoriented design has used scaling theories to address scaleafflicted complex processes through experimental work in laboratory environment at reduced scale the standard scaling approach the buckingham theorem is especially deficient when multiphysics and multiphase processes require the choice of more than a single nondimensional number resulting in severe scale effects and typically meaning that accuracies at reduced scale are inadequately quantified hence we choose a demonstrably complex multiphysics multiphase process for the investigation of scaling accuracies the progressive collapsing of residential buildings and the associate debris transport evolving from extreme flow events from natural hazards such as flash floods or tsunamiangrywaters seeks to achieve a breakthrough in modelling these complex processes by deriving novel scaling laws that will be developed in the framework of the lie group of point scaling transformations scaling requirements will be applied to the combined fluidstructure interaction at various scales developing sophisticated building specimens here we employ 3dprinting and appropriately engineered materials to match the scaling requirements we conduct a comprehensive experimental campaign using medium and largescale facilities subjecting the specimens to extreme flow conditions in the form of dambreak waves we consider subassemblages single and multiple buildings enhancing the understanding of energy losses and debris production upon collapse elaborating reduced scale accuracies highfidelity numerical modelling will complement our experiments deepening our process understanding a depthaveraged model with novel debris advection model crucially enhances predictive capabilities
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associative metalfree electrolytes for battery energy storage
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battery energy storage systems bess offer attractive alternatives to pumped hydroelectric and compressed air energy storage methods on account of their modularity flexibility and independence from geographical conditions however new bess installations are primarily lithiumion batteries alongside increasing market share for vanadium redox flow batteries which both rely heavily on key metals with significant cost and safety implications as well as geopolitical concerns the eufunded aero best project will address this problem through use of metalfree associative electrolytes for airstable bess and exploration of its commercialisation potential through feasibility studies and market research our associative electrolytes serve as fully organic electrolytes in aqueous flow battery systems they provide a paradigm shift through selfprotective supramolecular assembly mitigating against detrimental interactions with oxygen while providing extended battery lifetime the system will be scaled allowing validation of the technology through a battery demonstrator and a sustainable business model will be developed for commercialisation of the electrolytes aero best has potential to revolutionise energy storage realising a purely sustainable energy ecosystem independent from geopolitics offering a substantial reduction in the cost of both electrolytes as well as in costs of battery manufacturing as these electrolytes demonstrate air stability they offer simplified battery system operation and maintenance with an opportunity to democratise the bess market especially benefiting developing nations
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lightweight vibration absorption using buckling metamaterials
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vibrations cause unwanted noise and even failure in many areas including vehicles such as spacecrafts road vehicles and trains sensitive optical or hightech instruments and machinery the market size for global vibration control systems was valued at 47 billion dollars in 2021 and is expected to expand to 81 billion dollars in 20302 this increase in demand is driven by a growing emphasis on the mechanical stability and balancing of industrial machines which require ever growing precision and vehicles which require ever growing safetyto counter these vibrations many strategies have been developed one of the easiest ways is to use viscoelastic materials but there is typically an inherent tradeoff high dissipation entails low stiffness whereas many applications typically require both high dissipation and high specific stiffness another approach is to use active vibration damping but these systems typically add an additional layer of complexity and weighthere we propose to use euler buckling as a functional mechanism to create vibrations absorbers buckling structures are simultaneously stiff and highly dissipative thanks to their high stiffness prior to buckling and highly nonlinear force and damping response during postbuckling to this end we will use flexible mechanical metamaterials made of metal and fibrereinforced composites with tailored buckling and postbuckling we will establish such metamaterials as a prime avenue to create lightweight structures that is orders of magnitude more dissipative than their linear viscoelastic counterparts we will hence establish their potential as a competitive solution for lightweight structures combining high damping and high specific stiffness in hightech and aerospace applications in particular our metamaterials will allow to reduce the weight and increase the damping of energyabsorbing components in vehicles hence reducing their overall weight
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building euafrica partnerships on sustainable raw materials value chain
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secure the access to raw materials represents a critical issue for european ambition to deliver the green deal and perform the energy and digital twin transition as future demand of primary critical raw materials will continue to be largely met by importations eu needs to diversify its supply chain and engage strategic partnerships with resourcesrich third countries covering extraction processing and refining such as african countries in this framework africamaval project aims to develop euafrica partnership ensuring a responsible sourcing of mineral resources for the european industry while granting a sustainable local codevelopment in the best environmental social and governance esg conditions and leading to a longterms business environment for european and african companiesthe consortium created with partners coming both from africa and europe is based on experienced organizations and networks deeply anchored and involved in the raw material domain with a specific expertise and knowledge of the african culture organisations difficulties and resourcesthe mineral financial environmental social institutional and economical aspects will be studied along with all the value chains including the assm activities to the project completion to reach its operational targets building an eu and africa business networking on the whole crm value chains developing a strategy on the integration of identified and emerging eu and african raw materials value chains for the energy and digital transition assessing responsible investment opportunities the africamaval project will conduct ten case studies in african countries and an evaluation of 100 investment opportunities a wide dissemination within europe and africa to promote responsible sourcing and will implement a sustainable organisation after the completion of the project
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converting methane into green fuels using electrochemical devices
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this proposal titled converting methane into green fuels using electrochemical devices comfuelswill achieve efficient electrochemical methane conversion in a gas diffusion methane conversion cell through fewlayer 2d materialssupported transition metal oxide catalysts we will exploit our expertise in the preparation of metal nanostructures by electrodeposition preparation and modification of fewlayer 2d materials and electrocatalysis this will provide a new generation of highperforming catalysts for sustainable methane conversion into valueadded fuels enabling the scientific community to exploit the potential of gas diffusion methane electrolyzers the fellow manila ozhukil valappil is an expert on 2d nanostructures and electrocatalysis the supervisor prof maria escudero escribano at the catalan institute of nanoscience and nanotechnology icn2 in barcelona has longstanding expertise in spectroelectrochemistry electrocatalysis materials science and surface nanostructuring for various electrochemical applications and has secured an ercconsolidator grant june2023present on tailored materials for electrochemical methane activation and conversion into valuable chemicals such as methanol wellestablished advanced materials and electrochemical characterization facilities at icn2 ensure the projects success and will provide a unique environment for the development of mov
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turboeeg a fast opensource brain imaging package for electroencephalography
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electroencephalography eeg from scalp potentials is a crucial noninvasive technique for imaging the electric brain activity eeg is of primary importance in several scenarios of substantial societal impact ranging from electric characterization of epileptic seizures to the development of brain computer interfacesone of the key technologies in advanced eeg imaging is the source imaginglocalization procedure where the volume electric current responsible for the scalp potential is obtained solving an inverse source problem in turn requiring several solutions of the eeg forward problem the imaging of the brain currents is what makes the standard eeg readings into high resolution eeg brain imaginglamentably the standard eeg forward problem has cubical computational complexity resulting in an eight times increase in computer memory and computational time every time the problem doubles in size this substantially limits the impact of eeg imaging especially in low power computational systems and in social settings that cannot afford expensive computing machinesthe object of the turboeeg project is to radically change this paradigm we will translate the outcomes of the erc consolidator grant project 321 into the field of eeg neuroimaging obtaining and distributing the first existing eeg open source package that will solve the eeg imaging problem in linear complexity speeding up standard eeg imaging of orders of magnitude and making high resolution eegs widely available and cheapsince eeg source imaging is what translate a standard eeg device into an high resolution one the new open source tool will have a substantial impact on society by making available high resolution eeg technology in environments where top computational power is not available such as small hospitals ambulatories schools and universities the new opensource tool will in fact also have a substantial impact on education professional training and brain research
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energy activated citizens and datadriven energysecure communities for a consumercentric energy system
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enpower will design develop and demonstrate sshdriven methodologies interactive and closedloop tools and datadriven services for energyactivated citizens and energysecure crosssector communities towards a citizencentric energy system we combine leadingedge icts with socialbehavioural dimensions and with sharing economy and value stacking business models to deploy 1 a social science framework for energy citizens activation and innovative multidimensional incentives for citizens participation in energy markets 2 aibased consumers clustering and segmentation algorithms 3 interactive tools and facilitation services for energy community planning 4 energy data space adaptation to support communitylevel datadriven activation and interoperable automated privacy and sovereigntypreserving demand response dr 5 p2p dltblockchain digital marketplace for tokenized energy and nonenergy assets reciprocal compensation 6 datadriven services and apps for energy efficiency and activation performance management 7 ict services and digital twins for communitylevel energy optimization and aggregated flexibility management to trade off local selfconsumption against grid service provisioning while boosting a beyondenergy community social welfare 8 edge monitoring hubs for automated dr 9 business sandbox for novel sharing economy and social innovationbased business models 10 methodologies for evaluating different energy community setups upscaling and replication enpower framework will be validated along 4 front runners energy communities pilots and further replicated in 2 early adopters covering different levels of maturity of communities to demonstrate increased res local selfconsumption and consumers participation to the energy markets while nurturing increased local security of supply enpower leadership programme and blueprints will support euwide replication and advice regulatory bodies on communitiesfriendly enabling frameworks
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cocreation methodology for biotechnology trustbuilding measures for improved innovation uptake in the biobased innovation system
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the effective application of biotechnology plays a crucial role in building a sustainable european industry in line with the eu bioeconomy strategy and its progress report and contributing to the transformation of europe outlined in the green deal but despite the enormous potential of biotechnology for contributing to sustainable development in areas such as healthcare materials chemicals and food production the technology is not widely accepted and supported by the general public this leads to reluctance among industry to adopt and invest in biotechnological solutions uncertainty among investors and creates little incentive to eliminate regulatory barriers that prevent implementation recognising their concerns is therefore essential for improving the adoption of these technologies the main objective of the btrust project is thus to develop a transparent and inclusive governance model enabling the application of biotechnology to the biobased and agrifood sector more specifically to 1 inform and create transparency related to consumer and environmental safety 2 leverage engagement from citizens and other stakeholders and 3 develop and exchange best practices this model will be built based on the theory of change to ensure impact while keeping all actors committed and use cocreation trajectories with civil society and stakeholders as trust catalysts leading to a set of measures and principles for building trust the model will be developed and finetuned via four biotech use cases chosen to cover different types of concerns and benefits mapping out the real and perceived risks and benefits of these technologies will lead to a comprehensive assessment of the technologies laying the foundations for general trustbuilding lastly a forum will be created to deploy trainings and keep stakeholders engaged and informed allowing the model to be replicated and sustained for further research and development policy making and funding schemes
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improving peptidebased anticancer vaccines with phosphatase inhibitors
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peptides have great potential for vaccines peptidebased vaccines aim to increase the population and activity of pathogencancerrecognizing t cells by administering antigenic peptides carrying epitopes for major histocompatibility mhc class i and ii these peptides are endocytosed by dendritic cells dcs followed by intracellular proteolytic processing to release the epitopes the loading of the epitopes on mhc and finally the presentation to antigenspecific t cells despite numerous studies showing immunogenicity in preclinical settings peptidebased vaccines have failed to show efficacy in clinical trials one reason for this limited efficacy is that too low amounts of epitopes are presented on mhc thus one way to improve peptidebased vaccines is to improve their intracellular processing for mhc presentation by dcs in this project we will explore a novel approach for increasing the crosspresentation efficiency moreover we will perform precommercialization studies aimed at protecting the intellectual property defining the commercialization strategy and enhancing our industrial network we expect that our strategy will raise interest as many pharmaceutical companies are developing peptidebased vaccines
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monitoring megathrust faults with abyssal distributed acoustic sensing
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earthquakes have caused more than half a million of fatalities in the past 20 years a large fraction of this death toll arises from the current lack of systematic predictive signals while some theories describe earthquakes as intrinsically stochastic processes challenging or impossible to predict evidence from laboratory and numerical experiments indicates that earthquakes could be preceded by a preparatory phase but despite all efforts only incomplete observations of such phase have been achieved this observational gap is mainly due to our inability to deploy extensive sensor networks near the earthquake nucleation zone especially for large earthquakes that are the most likely to produce precursors detectable at the surfacei propose to probe the mechanical state of a fault prior to large earthquakes using seismic waves recorded on the largest and densest seismic array ever deployed directly above one of the most active faults on earth the chilean subduction zone long term monitoring of its vigorous activity will allow my team to observe the preparatory phase of several strong earthquakes m6to achieve this i will use a revolutionary technology distributed acoustic sensing to convert several 100 km long segments of fiber optic telecommunication cables that run offshore along the 4200 km of the chilean subduction zone into a large and dense oceanbottom seismic observatory the unique data produced by this new observatory will enable the detection of weak earthquakes and changes in the crustal properties with a sensitivity that has never been achieved beforethis transformative capability augmented by the development of real time data processing workflows will enhance the early warning system in chile by improving the timeliness and accuracy of earthquake warnings the expected outcomes of this project will have a transformative impact on earthquake science as well as on the reduction of societal vulnerability to natural hazards
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highcoherence ultracold electron diffraction for molecular movies of membrane proteins
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imagine we could make movies of proteins in action in this project i propose to develop a unique tabletop setup based on the diffraction of ultracold electrons that does exactly that make molecular movies of proteins in particular of the important class of membrane proteins this tool could revolutionize biochemistry yielding an ultimate view of natures molecular machinery and helping scientists to understand membraneproteinrelated diseases and develop highly targeted medicinesa unique source developed at the tue and based on the femtosecond photoionization of an ultracold gas generates electron pulses that should in principle be sufficiently short intense and coherent to enable electron diffraction on 2d crystals of membrane proteins in this project i will evaluate the sources capability to generate highquality diffraction patterns from 2d crystals of eg hydrophobin and bacteriorhodopsin next i will measure a sequence of such diffraction patterns in a pumpprobe experiment to obtain a molecular movie of the lightinduced conformational change of bacteriorhodopsin this will be the first protein molecular movie ever obtained on a tabletop setup in parallel i will improve the source performance accelerating the electrons to higher energies from 10 to above 100 kev i can keep the sample in its native aqueous environment inside a liquid cell which strongly extends the applicability of the setup modifying the spatial and spectral properties of the ionization laser i expect to be able to increase the number of electrons per pulse allowing singleshot diffraction patterns and to further increase transverse coherence reducing the required crystal size finally i will seek to improve the coherence of the source to the point where i can apply my experience in coherent diffractive imaging to make molecular movies of a single protein without crystallization which is a holy grail in structural dynamics all on a tabletop setup
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aggregate and idiosyncratic risk in macroeconomics
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since the great recession of 0809 two interrelated economic phenomena challenge politics and research alike first the return of aggregate volatility marking the end of the great moderation second the rise in inequality to levels last seen during the gilded age a new literature has responded to this challenge by adding heterogeneity to business cycle models hank this is a major step but the focus on certaintyequivalent solutions in aggregates restricts the interaction of both phenomena my research agenda aims to make groundbreaking progress by developing a new computational toolbox that allows to study the relative strength of aggregate and idiosyncratic risks and their interaction in inequality asset returns and business cyclespart i develops a sparse higherorder perturbation solution for hank models smart use of the modularity of idiosyncratic and aggregate model components makes estimation feasible which is key for quantificationpart ii measures heterogeneity in the exposure to aggregate risk and quantifies its contribution inequality the volatility of wages portfolio returns and tax rates differs across the distribution and this affects inequality via household portfolio decisions part iii decomposes the capital premium into the parts coming from idiosyncratic and aggregate risk large parts of the capital stock feature trading costs that can explain part of the equity premium which makes the equity premium puzzle less severepart iv examines the cost of business cycles and novel benefits of stabilization policies by reducing aggregate risk policy allows households to hold less liquid portfolios and increase investment into capitalpart iiiv contribute to fundamental questions in macroeconomics the welfare costs of business cycles the benefits of fiscal vs monetary stabilization and the drivers of inequality and asset returns my agenda is ambitious but the importance of the questions imply an extremely high return
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toxic free metallization process for plastic surfaces
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technological advancement has significantly transformed plating methods by introducing metal coatings on plastic substrates plating on plastics pop has emerged as an effective solution in a wide range of applications in the automotive aerospace and home appliances industry there is a high preference for plating on plastic in the automotive industry owing to its light weight cost effectiveness and corrosion resistance in the automotive industry it not only adds aesthetic value but also helps in increasing fuel efficiency by reducing the overall vehicle weight decorative chrome copper and nickel plating is quite popular on various interior and exterior plastic parts such as knobs handles logos emblems trims etc abs pc pet nylon and peek are widely used polymers in plastic platinghowever the current processes for pop present some significant disadvantages related to environmental sustainability occupational safety and quality of coatings ie the use of hexevalent chromium in the etching process and the use of palladium in the activation step freeme project proposes two revolutionaries approaches for the metallization of polymeric plastic or resins surfaces without the use of hexavalent chromium and palladium the first technology is based on the use of resins eg epoxyacrylate resins with the additions of suitable nickel based precursors this composite resin can be deposited uniformly in the surface of the plastic object either by spray deposition methods or other simple deposition methods the nickel precursors are afterwards reduced utilizing appropriate reduction agents eg nabh4 creating the necessary nuclei for the next step of electroless deposition for the formation of the conductive layer
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contested frontiers understanding the metapolitics of settlerstate peripheries
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between indigenous selfdetermination and settler colonization lie contested frontiers subject to metapolitics ie to competition over the framing of polities in the past settlers using force domesticated frontiers recent decades have seen an indigenous resurgence rekindling metapolitics particularly on settlerstate peripheries these contests are increasingly waged by weaponizing constitutive principles is the demos universal or divisible should individual or collective rights prevail should democracy or selfdetermination decide resolving such contests is difficult yet the metapolitics of todays frontiers have escaped politicalscience attentionconfront aims to develop a theory of frontier metapolitics it will study contests over constitutive principles in and how such contests shape and are shaped by settlerstate peripheries it will gather and test data from settler federal territories and related peripheries to pursue four research objectives conceptualizing metapolitics to render it cognizable compiling the first dataset of frontier constitutive metapolitical contests analysing such contests and their interaction with the constitution of peripheries and normatively theorizing how such contests should be approachedresolvedconfront will combine comparative politics comparative constitutional law and normative political theory to identify and open a salient new research field led by a pioneer of settlermetapolitical studies with a unique preacademic background in peripheral areas this project will make modern frontier metapolitical contests visible comprehensible and more soluble if successful it will place peripheries central to studies of metapolitics inspiring and preparing scientists decisionmakers civilsociety actors and even colonized peoples to grapple with the rising metapolitical instability of peripheries and of the late westphalian world at large
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innovative tools for sustainable exploration of marine microbiominnovative tools for sustainable exploration of marine microbiomes towards a circular blue bioeconomy and healthier marine environments
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marine microbiomes represent 90 of the total living marine biomass but only a small fraction of them can be cultivated for this reason they are an underexplored source of bioactive compounds carbohydrate polymers and proteins among others sampling the marine biodiversity screening identifying and isolating the relevant microbes is cumbersome expensive and results in a heavy environmental burden low yields high costs and long times to market therefore new approaches are necessary to overcome the limitations for the study of marine microbial communities and their econological use bluetools will unravel the potential of marine microbiomes for healthier oceans and the blue bioeconomy through integration of different fields to develop cuttingedge tools that support fast efficient and sustainable exploration and exploitation of microbiomes avoiding the drawbacks of conventional biodiscovery practices the expected results of bluetools include discovering several hundreds of enzymes rhodopsins resistance genes antimicrobials and antimicrofouling agents thanks to a hybrid workflow of in silico and microfluidicsbased functional discovery resulting in the commercialization 400 enzymes for biocatalysis and 2 new solutions for plasticpolymer degradation increasing the revenue of our industrial partners by 1015bluetools assembles 5 leading european companies 8 academic teams and 1 private rto that have pioneered approaches in functional metagenomics microfluidics microbial ecology and synthetic biology the presence of diverse complementary industrial stakeholders in the consortium from pharma to materials science to sustainability at different stages in the researchtomarket process from rtos to smes to large endusers provides a unique opportunity for broad value creation the planned activities will span 48 months and the project is estimated at ca 9 m with 60 of the total dedicated to creating highlyqualified jobs
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the key to precise and accurate cosmology simulating the physics that shapes gaseous haloes
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observational programs aimed at mapping the largescale structure of the universe such as erosita and euclid are ushering in the era of precision cosmology our knowledge will soon transition from being limited by statistical errors to being hindered by systematic uncertainties these systematics arise from the theoretical modeling adopted to fit the data and the complex physics of galaxy formation whose effects are often neglected in fact powerful feedback processes from supermassive black holes smbhs affect the phasespace and thermodynamical properties of the gas within haloes and beyond in turn modifying the expectations for the cosmological observables and the largescale matter distribution in order to fulfill the potential of observational cosmology we must take a farreaching step forward by a designing novel types of largescale simulations that model gaseous haloes and the effects of smbh feedback to unprecedented levels of realism and by b providing quantitative and trustworthy that is physicallymotivated and observationallyvalidated prescriptions for cosmological analyses starting from the wellvalidated illustristng hydrodynamical simulations we will extend their scope to more massive systems with a new suite tngcluster we will provide a library of baryoninformed formulae for cosmological constraints with galaxies groups and clusters as well as design novel observational tests for smbh feedback models going beyond the stateoftheart we will develop numerical models that account for the effects of the multiphase structure of the gas of radiation and of more sophisticated smbh physics by using new simulation techniques and by complementing the arepo code with onthefly machine learningbased methods these will enable groundbreaking largescale simulations new types of comparisons to observations of both the hot and cold halo gas and ultimately novel and independent analyses of available cosmological data
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unlocking the supply of rare earth elements in europe through responsible sustainable and decarbonised innovative technologies
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responsible sustainable and low co2 footprint mineral extraction is vital for the preservation of our planet ensuring responsible supply of minerals involves addressing the environmental social and economic impacts of mineral extraction and developing technologies and knowhow to minimize them mining within these lowimpact boundaries in a world that is putting an increasing pressure on the mineral supply requires developing environmentally friendly safe intelligent and resource efficient extraction technologies and methods reesource will set a sustainable and decarbonized value chain basis for the extraction of rare earth elements rees in europe supporting the ambition of the continent to become selfsufficient on rees this target will be achieved through a set of actions scientific technical social and financial that will serve to pave the road for the development of the european mining of the future these include i enhancing key technologies of raise mining to foster invisible mining with minimal socioenvironmental impact and lower co2 emissions footprint compared to existing approaches ii developing novel formulations based on environmentally friendly chemicals for both the mineral beneficiation process of rees and the process water treatment supporting the recirculation of this resource iii developing a novel stabilization technique for tailings making them suitable for backfilling stabilizing the mine and avoiding the need of tailing ponds iv valorize the tailings through a circular economy approach to make them suitable for expanded value chains as geopolymers for construction applications and composite materials for catalytic and co2 capture applications v assess the social dimension to maximize early social awareness engagement and acceptance and vi multiply the project impact through crossfertilization with other projects and clusters supporting the mass adoption of unfc and unrms in the raw materials sector
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membrane electrode assembly for the high pressure electrochemical conversion of co2 to c2h4
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the electrochemical conversion of co2 to chemical fuels is a promising technology for recycling co2 and closing the carbon cycle amon the different products of the electrochemical reduction of co2 multicarbon c2 product are more desirable because of their high energy density and high market price among them ethylene is widely used for the production of raw materials and has a market price around 1000tons which suggests relatively low threshold towards profitability the development of such a technology to convert co2 to c2h4 is however limited by the lack of selectivity and efficient catalysts to drive the reaction while co2 mass transportation to the active sites limits the conversion rate during the course of our ercstg 2d4co2 we have developed cubased electrocatalysts modified with aromatic functions which demonstrated strongly improved selectivity for ethylene at industry relevant current density of 300 ma cm2 the aim of the hipceo2 project is to apply the novel cubased catalyst develop in our group in a highpressure membrane electrode assembly electrolyzer our specific goals are to realize a prototype with electrode size of 100 cm2 and verified stability of 1000 hours that will be used as a demonstrator to reach out potentials endusers and future partners
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technological choices of coastal populations a functional perspective through the usewear study of knapped lithic tools during the late mesolithic 63004500 cal bc in south norway
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techcoast aims to understand how past populations have used tools and what technological choices they have made to deal with the coastal environment on the southern norway seashore the late mesolithic 63004500 cal bc sites constitute a unique knowledge repository of coastal huntergatherer populations in which stoneknapped tools are the most frequent artifacts however very little is known about the use of these to exploit coastal resources how and for what were these tools used how does their use reflect socially transmitted technological knowledge to exploit coastal resources through an innovative and interdisciplinary technofunctional approach techcoast aims to bring new functional data on the use of lithic tools to further understand the technological choices of coastal populations analyses of the plastic deformations on the surface of the tools due to their use ie usewears will be performed on three preselected lithic assemblages in addition an experimental analytical program will be set to identify quantifiable wear attributes in lithic tools resulting from the exploitation of marine animal resources by means of confocal scanning microscopy finally by combining observations with a dynamic technological approach and landscape archaeology the project will aim to identify the technological choices of the coastal groups more widely the present project will provide a broader perspective on the atlantic european seashore allowing crossregional comparisons with other coastal groups the techcoast project results will have an important impact on the research of the coastal stone age huntergatherer populations as well as bring new methodological perspectives to usewear studies the results will be disseminated by openaccess publications and outreach activities through a prehistoric perspective the project aims to engage in the social debate about the role of technology in the exploitation of environmental resources in the present
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strongfield electrodynamics in flying focus pulses
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in this action we propose a theoretical investigation of charged particle behavior in external laser fields using the recentlydescribed flying focus ff regime a laser field setup which allows precise control of the position and velocity of its focus this novel regime makes it possible to adjust the laser focus so that it copropagates with the particle including the situation when the particle is moving against the laser phase fronts the resulting long laserparticle interaction time enabled by ff pulses is expected to significantly enhance radiation reaction methods of particle beam control and cumulative magnetic moment effects along the particle trajectories in the classical relativistic framework this will give us the possibility to test the equations of motion which include radiationreaction terms and sterngerlach force in the case of particles with spin in the quantum framework we will first investigate analytically the probability of single photon emission by a high energy electron in a flying focus beam and then study numerically the cascade emission of several photons quantum radiation reaction finally we will implement flying focus fields and the calculated probabilities of the quantum emission processes into the particleincell code smilei with this code we will perform simulations of experimental setups exploiting flying focus fields in laserparticle interactions thus we will identify viable experiments that could lead for the first time to unambiguous radiation reaction detection allow for methods of particle beam control and enable us to probe quantum electrodynamics in the strong field regime
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stable inorganic tandem solar cell with superior device efficiency and increased durability
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to face the grand challenge of transforming the energy system to include at least 42 photovoltaic energy in 2050 as forecasted in a scenario by irena our proposed project sita aims to explore innovative concepts for tandem solar cells based on two technologies with strong competence base in europe silicon heterojunction shj and high bandgap cuingases2 cigs a novel tandem concept with a 2terminal 2t approach requiring no additional cables or electronics will be developed enabled by recent and further development in wide gap cigs devices leading to high efficiency 18 sita will demonstrate the durability of the new modules under realistic outdoor conditions delivering the next generation of stable inorganic tandem solar modules with superior device efficiency 30 sitas technology will build on and increase the efficiency of shj modules by a factor of 15 with marginal increase in the use of the costliest raw materials this in turn leads to a considerable reduction in area related system costs of up to 25 per installed power and a corresponding reduction in the levelized cost of electricity lcoe tandemjunction efficiencies have recently approached or even surpassed the singlejunction shockleyqueisser limit for prototype devices sita will address the remaining limitations in terms of stability scaling and manufacturing costs as well as environmental impact
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systems methods context
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symeco systems methods context proposes a transformative agenda one that is cognisant of the changing landscape of software development while seeking to shape it the key research strands explore what we build systems how we build these systems methods for the world we want context the 60month research training programme will fund 16 postdoctoral fellowships at lero and will incorporate international mobility intersectoral exposure and interdisciplinarity lero is irelands research centre for software headquartered at the university of limerick ul beneficiary with partners in other irish universities and institutes of technology the implementing partners will be university college cork university college dublin dublin city university national university of galway and trinity college dublin the ten associated partners are drawn from leros extensive industry network and comprise a mixture of multinational corporations and smes the programme aims to attract researchers from the fields of computer science software engineering information systems humancomputer interaction and business management during their 2year fellowship fellows will receive disciplinespecific skills training to assist career development and will be provided with a comprehensive set of courses to improve their transferrable skills to diversify their employment options fellows will also avail of a 4day summer school incorporating the themes of systems methods context with one day dedicated to industry entrepreneurship trained fellows will be attractive to industry the public sector or academia the symeco research training programme will produce the next generation of european leaders in software development that will have the skills to help in shaping europes digital future and contribute to the newly launched european declaration on digital rights and principles this proposal seeks 152 million ec funding to match lero cofunding of 138 million
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understanding the genetic encoding of dynamic interactions underlying transcriptional regulation
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transcription factors often serve as key hubs for dynamic proteinprotein interactions in eukaryotic cells aside from their characteristic dna binding domains the vast majority of transcription factors contain activation domains that are often intrinsically disordered these domains are not wellcharacterized but are thought to contain key sequencedistributed features that enable transcription factors to interact with their many binding partners and have recently been associated with the capacity to form transcriptional condensates through phase separation many questions remain about how genotype and phenotype are related in these relatively uncharacterized regions particularly with respect to their dynamic binding interactions with important implications for human diseaseassociated mutations here we propose to help uncover the relationships between sequence structure and dynamics of these interactions in vivo using the power of deep mutational scanning and protein complementation assays in budding yeast
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complex fluids in fractured geological media for enhanced heat transfer
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geoneat aims at unraveling the potential of engineered shearthinning st fluids in enhanced geothermal systems to improve heat recovery efficiency and in heat tracer tests to infer structural parameters of deep hot reservoirs cuttingedge interdisciplinary methodologies from applied mathematics and hydrology are merged in a novel framework to achieve two scientific objectives 1 characterizing quantitatively how using engineered fluids impacts coupled flow and heat transfers in fractured media at all scales 2 inferring structural information on fractured media from coupling inverse modeling to field measurements of the heat exchange using complex fluids of different rheologies to this aim two technical challenges will be tackled 1 the development of a multiscale model of coupled flow and heat transport in fractured geological formations 2 the obtention of experimental data in a synthetic analog medium to validate the model and constrain an inverse model for characterizing the mediums geometry geoneat relies on the expertise of a topnotch consortium consisting of the university of bologna beneficiary supervisor prof vittorio di federico and cosupervisor prof valentina ciriello experts in subsurface stochastic modeling stanford university outgoing phase supervisor prof daniel m tartakovsky and cosupervisor prof roland horne experts in uncertainty quantification inverse modeling and geothermal energy and the university rennes 1 secondment supervisor prof yves mheust and cosupervisor dr maria klepikova experts in subsurface heat transfers and analog experiments of flow and transport dr lenci will receive excellent training in the three institutions to pursue outstanding research propelling his career development towards becoming a tenured researcher in eu academia geoneat will contribute to promoting the growth of a lowcarbon sustainable renewable energy market consistent with the eus green goals and priorities
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hyperpolarized nmr made simple
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nuclear magnetic resonance nmr is one of the most powerful analytical techniques currently available with applications ranging from synthetic chemistry to clinical diagnosis despite the progress in developing new systems applications are often limited by the low sensitivity of nmr hyperpolarization techniques have the potential to overcome this limitation and revolutionize the use of compact nmr however the stateofart devices for hyperpolarization are limited by either the need for cryogenic cooling long setup and polarization times with the risk of experimental failure costly systems cumbersome equipment and a limited range of polarizable moleculesmagsense project significantly simplifies the existing hyperpolarized nmr paradigm our unique approach is to produce spin order in standard hydrogen molecules to act as polarization batteries the nmr sample with the enhanced target molecules is placed in a standard nmr spectrometer for ultrasensitive analysis no modifications are required to the customers existing nmr instrumentation magsense provides significant advantages in signal enhancement and measurement times enabling the analysis of intermediate steps in the chemical reactionmagsense will provide many new opportunities for the fields of synthetic chemistry analytical chemistry and nmr research it will be a marketcreating innovation with pointofservice applications such as diagnosis in icu unitsthe project will create opportunities for young researchers in the nmr field through our engagement with universities and technology institutes at the same time interested industry players have shown their support for the projectnvision is backed by leading deeptech vc funds from the us and europe and currently employs more than 25 physicists engineers and material scientists including professionals with more than 10 years of experience in nmr research technology development and project management
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recreating molecular memories imaging the mechanics of chromosome assembly and the birth of cell identity
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the gene expression patterns that define specific cell types are determined in part by epigenetic information encoded in histone marks that guide chromatin organization during chromosome duplication new histones lacking this information must be deposited to support the doubling of chromatin however the molecular mechanism of histone deposition and the coordination pathways that ensure epigenetic information is transmitted remain unknown determining the mechanics of chromosome assembly promises to open a new frontier in our understanding of the propagation of cell fate decisions that support multicellular life due to the antiparallel configuration of dna different dna synthesis mechanisms are used on the daughter strands during dna replication how this is coordinated with the symmetric duplication of chromatin organization on daughter chromosomes is not known i hypothesize that the replisome contains an extensive network of molecular wiring encoding the fundamental logic that governs histone transfer and deposition that is essential for the preservation of epigenetic cell identity and chromosome integrity to discover this network i propose a research program combining structural biochemical and singlemolecule imaging approaches to gain access to critical missing information we will develop techniques that reveal the dynamics of histone transfer and deposition independently on each daughter strand in realtime for single replisomesthe proposed research will determine the structural basis of new histone deposition reveal the dynamics of replicationcoupled chromatin assembly and address how epigenetic states are reestablished on daughter chromosomes realizing these objectives will represent a major breakthrough in our understanding of the molecular mechanics of chromosome assembly the transmission of epigenetic cell memory and allow for transformative biomedical technologies through engineered reprogramming of epigenetic memories
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explaining human decisionmaking by combining choice and process data
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decisionmaking is a core element of human activity and the decisions we make can have significant consequences for ourselves others and the world we live in thus the ability to explain and predict decisionmaking is vital for improving individual and societal outcomes especially when addressing global challenges like climate change sustainable energy ageing populations and public health mathematical models of decisionmaking can help us to understand and predict human behaviourdespite significant progress several scientific challenges persist in the applicability of advanced behavioural models to realworld problems many models focus on predicting decision outcomes rather than explaining the decision process itself information contained in neurophysiological process data that emerge during decisionmaking are often ignored and methods for collecting behavioural data fail to create realistic impressions of scenarios representing the futureimmersion aims to advance the study of human decisionmaking by developing new innovative methods for combining choice and process data this includes new models for integrating choice and process data new statistical inference procedures tailored to such models and new methods for collecting rich behavioural data in immersive experiments the proposed research will create a paradigm shift in behavioural research with impacts on many application domains immersion will equip researchers with a new powerful toolkit for extracting deep behavioural insights from rich data using advanced modelsthe proposed research includes substantial empirical work applying immersions methodological innovations to realworld problems with implications for the humancentric design of future transport systems this work includes case studies to explain and predict human decisionmaking in the contexts of transportation infrastructure development pedestrianautonomous vehicle interactions and pedestrian wayfinding
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infrared valley control of moir quantum materials
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a key ingredient governing the behaviour of electron dynamics in condensed matter systems is the valley degree of freedom this fellowship aims at inducing topological or valleypolarised electronic phases in moir systems and explore their tunability moir quantum materials present a high degree of tunability as the ratio between interaction strength and electronic bandwidth can be optimised resulting in flat bands and correlated electronic states control of such phases with circularly polarised light would allow to understand the valleypolarisation topological protection and the mechanisms underlying the emergence of flatband superconductivity and correlated insulators the project will use an interdisciplinary methodology combining electronic transport techniques with infrared farfield irradiation and near field imaging to create manipulate and explore novel phases with nontrivial topology valley polarisation in moir materials the researcher will conduct transport measurement with circularly polarised light to selectively induce intervalley scattering in 1d channels and explore superconducting interferences in this regime the project will also quantify the influence of circularly polarised light cpl on the superconducting phases and correlated insulators in flat band moir systems in order to comprehend the interplay of strongly correlated electronic states with cpl and understand their origin the fellowship will control and explore novel phases with nontrivial topology in moir materials providing new understanding of valleypolarised phases this objective is a steppingstone towards the creation of new optoelectronic devices such as photonic diodes optical transistors and logic circuits and could lead to new concepts as topological nanophotonics for optical information processing
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conventional dendritic cells ecology diversity and function
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effective t cell responses are critical for the efficacy of vaccination and cancer immunotherapy therefore the manipulation of conventional dendritic cells cdcs offers great potential for improved therapies as these cells play a key role in the activation and regulation of t cell function however cdcs are a diverse group of cells whose function is incompletely understood previous attempts at targeting cdcs therapeutically have been underwhelming perhaps as a result of not targeting the right cell subset specifically the goal of this proposal therefore is to reveal the functional properties of the different cdc lineages during type 1 and type 2 immunity and to understand how the ecology of cdc subsets is regulated to meet the functional demands of tissues undergoing different types of inflammation i propose that studying the cdc subsets that enhance cytotoxic t cell responses against viruses in type 1 immunity and those that enhance parasite clearance and tissue repair in type 2 immunity against nematodes will help to identify those cdc subsets that need to be either triggered or inhibited to improve tumour control therefore we will use welldefined models of type 1 and type 2 immunity to reveal the diversity of these cells during inflammation furthermore we will generate new mouse models to target cdcs subsets specifically to study their functional properties and to reveal how these functional properties are instructed in this regard we will address how subset specification is regulated distally by a novel interorgan communication axis lungbone marrow that could tune the host immune system to everevolving challenges finally as a proof of concept we will use transplantable and orthotopic cancer models to unravel beneficial and detrimental cdc subsets in the immune response against cancer cdcfun will open new avenues for the design of better vaccines and immunotherapies that harness the functional properties of specific subsets of cdcs
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using dj vu to better understand spontaneous retrieval in human memory
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the project focuses on a new theoretical view that i recently published together with my host supervisor according to our continuum hypothesis two spontaneous phenomena dj vu and involuntary autobiographical memories although studied separately are actually a result of the same underlying processes this novel theoretical view may transform the current understanding of memory retrieval processes and is in urgent need for systematic empirical investigation to develop a databased theoretical framework for a broad range of spontaneous cognitions the project creates a crosstalk between currently separate areas of research in which i an autobiographical memory specialist in experimental psychology join forces with my host supervisor an expert in dj vu metacognition and neuropsychology to advance theoretical models of autobiographical memory retrieval to this end within the project i will undertake advanced training in dj vu methods metacognition singlecase study methods in neuropsychology and transdisciplinary training on the brain and cognition this will be then used in planned empirical studies aimed at 1 testing the novel theoretical approach with empirical evidence and 2 further advancing theory of autobiographical memory dj vu and spontaneous cognitions while the project is expected to significantly contribute to the research area it will also significantly advance my professional research career by providing me with new skills knowledge experience in new for me area of research and to let me build up a longlasting network of collaborators
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humancentred machine learning lighter clearer safer
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the rapid development and adoption of artificial intelligence ai and machine learning ml technologies have brought significant opportunities and challenges while ai has the potential to revolutionise industries and improve lives there are growing concerns related to privacy security fairness transparency and the environmental footprint the olympics motto faster higher stronger also applies to recent impressive ai advancements but now is the time to update it to lighter clearer safer we propose achilles to build an efficient compliant and trustworthy ai ecosystem at its core is an iterative development cycle inspired by clinical trials encompassing four modules it begins with humancentric methodologies followed by datacentric operations modelcentric strategies and deploymentcentric optimisations it returns to humancentric approaches focusing on explainability and model monitoring this iterative cycle aims to enhance ai systems performance robustness and efficiency while ensuring they comply with the legal requirements and highest ethical standardsanother innovation is the development of an mldriven integrated development environment ide the achilles ide will facilitate seamless integration between the iterative cycles modules enabling users to develop efficient compliant and trustworthy ai solutions more effectively and responsibly the project aims to significantly impact european ai development aligning with the regions guidelines and values through innovative techniques and methodologies based on the collaboration of a multidisciplinary team of 16 partners from 10 countries achilles will foster a strong ai ecosystem that respects privacy security and ethical principles across various sectors by validating the results in real use cases including healthcare id verification content creation and pharmaceuticals achilles will showcase its practical applicability and potential for widespread adoption
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euroflash exploring the origins of fast radio bursts using a network of european radio telescopes
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fast radio bursts frbs present astronomers with a compelling mystery what is creating these brilliant but ephemeral flashes that travel billions of lightyears before reaching earth whatever is producing the frbs it requires an extreme energy density and the conditions for laserlike coherent radio emission to be generated while recent discoveries show that magnetars are a leading contender the heterogeneous properties of the known frb sample strongly suggest that there are multiple frb source types if so then we have multiple mysterious frb origins to uncoverdue to the great interest in solving this puzzle enormous progress has been made in recent years there are now hundreds of known frb sources dozens of which repeat and some of which have been localised to their exact galactic neighbourhoods the frb sample continues to grow at a rapid pace of several new sources per day thanks to new widefield radio telescopes studying these sources with dedicated followup is challenging because they emit sporadically and are only visible for milliseconds or less at the same time by casting an even wider net we are likely to discover new types of frblike signals with euroflash i will create a coordinated network of european radio telescopes operating over a broad range of radio frequencies providing high sensitivity and observing cadence and achieving the bestpossible localisations i will use this network to perform a worldleading systematic study of repeating frbs to understand their progenitors and their relation to the apparently oneoff frb sources i will also make a novel exploration of the parameter space of shortduration radio transients by exploiting the large fieldofview of lofar20 and commensal observations to find new sources in doing so i aim to discover new types of astrophysical phenomena that probe the extremes of the universe
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an integrated approach to restore tolerance in autoimmune disease
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the tolerate training network aims at training dcs to acquire the skills to develop different innovative strategies to treat autoimmune diseases to identify the most promising strategies or a combination of strategies to setup clinical trials and to develop a roadmap to bring a novel therapeutic agent to the market this all will be done in a highly interdisciplinary and intersectoral environment interdisciplinarity allows to introduce innovative tolerogenic therapies developed for cancer chimer antigen receptor cart cell therapies into the world of autoimmune disease and to apply nanotechnology and proteinengineered tolerogenic vaccines to reestablish immune tolerance in autoimmune disease both the presence of academia and industry provides a platform for indepth preclinical studies and a realistic possibility for future commercialization of the novel therapies clinicians in the consortium with expertise in settingup and running clinical trials for novel drugs assure that developed novel therapies in tolerate will find their way to the clinic in the future developing novel therapies for autoimmune diseases goes close together with a thorough knowledge on the longterm consequences of living with an autoimmune disease since many autoimmune diseases are rare diseases setting up international uniform databases and biobanks is crucial to understand the longterm pathophysiology of the disease and to guarantee optimal use of novel therapies tolerate will train 8 dcs who will hence has the expertise and skills to work in and setup interdisciplinary and intersectoral projects the groundbreaking training programme will provide the dcs with a unique clinical training additional training in ethical regulatory and legal aspects together with a training in innovation management of therapeutics and diagnostics for autoimmune diseases will prepare the dcs for the european job market
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computational studies of new dzyaloshinskymoriya interactions
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the magnetic phases that can be formed in chiral magnets has been of increasing interest due to the unique and exciting physics and potential applications these materials have the chiral magnetism in these materials is created by the competition of energy terms in the hamiltonian namely exchange and the dzyaloshinskymoriya interaction dmi this dmi is created from the asymmetric environment of interacting magnetic spins and is thus connected with noncentrosymmetric crystallographic point groups as these noncentrosymmetric point groups have different symmetries the form of the dmi equation changes from one to the next however only a small number of dmi point groups have been studied so far this project will investigate the physics of the yet unexplored dmi terms computationally these terms will be integrated into micromagnetic calculators and will be made opensource to enable the magnetism community to use it for research outside of this project the multidimensional parameter space of these new dmi terms will be systematically investigated for new magnetic structures using machine learning techniques novel magnetic structures discovered will have their stability equilibrium and nonequilibrium dynamics studied to gain new physics insights this will lead to exciting new physical phenomena being discovered which may have the potential for applications in spintronics
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excellent laser technologies for the sustainable prosperity of europe
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central bohemian region czech republic and lithuania represent european regions where researchers in the photonics resp laser technologies sectors are internationally recognised and the business has a high added value the interaction between science and business is intense and promotes development so there is great potential to create new companies there are opportunities to create a new generation of industry based on laser technologies and there is an increasing potential to create more integrated solutions the inclusion of laser technologies in the priorities of smart specialization of both regions shows that this sector has a huge potential for further development and improvement on the other hand the main challenge in this area is the creation of the photonics and laser technology sector where operating companies would produce products with higher added value and exceptional functionality thus the excellence hubs initiative represents a unique opportunity for a teaming up of two laserbased innovation ecosystems creating a realplacebased innovation culture in the czech republic and lithuania through activities such as the creation of a joint ri strategy the realization of joint research projects setting up action and investment plans as well as mutual learning and skills development the linkages between academia business government and society will be strengthened and sustainable ri ecosystem in the cuttingedge domain of lasers and their applications will be created excellence hub laserpro is centered around key academic institutions hilase laser centre in the central bohemian region and the centre for physical sciences and technology in lithuania complementary stakeholders include innovation centers research clusters and industry associations ukrainian partners are also involved through a mentoring scheme to enhance collaboration and innovation opportunities
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towards a new theory of optimal dynamic graph algorithms
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dynamic graph algorithms are of increasing critical importance they are crucial for coping with dynamic networks which model the everchanging physical world and have been instrumental in achieving numerous major breakthroughs in static graph algorithmsthe holy grail in the field of dynamic graph algorithms has been to design algorithms with polylogarithmic in the input size update time however recent exciting developments in which the pi has played a central role aim to push the update time toward an absolute constantindependent of the input size which is qualitatively very different than a polylog boundthis goal is of fundamental importance not just from a theoretical perspective but also from a practical viewpoint due to the rapidly growing size of modern networksan algorithm is intrinsically optimal if its update time matches the ratio of the problems static time complexity to the input size the main question underlying this research iswhich graph problems admit intrinsically optimal update timeonly few intrinsically optimal graph algorithms are known the unique goal of this project is to establish a systematic study of intrinsically optimal algorithms we will also study provably optimal algorithms aiming to advance our understanding of the thin line that separates these two distinct optimality notions to achieve this goal we must go far beyond the current stateoftheart and in particular confront some of the most central problems in the field meeting the projects main goal even partially will be groundbreaking results of this project will facilitate the use of dynamic algorithms in realworld application domains and will also be illuminating to other fields such as distributed computing and finegrained complexity consequently we believe this research has the potential of revolutionizing the field of dynamic graph algorithms and impacting related fields thus enriching the general landscape of computer science
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from fiber to wall physical approach of hygrothermal transfers in biobased construction materials
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biobased construction materials are airfiber systems such as wood hemp cellulose flax etc possibly coated with a mineral paste they represent a promising solution for carbon emission reduction due to their low production cost and their partial or full recyclability moreover they bring more comfort to the occupants thanks to their moisturebuffering capacity and they require less energy for heating or cooling these qualities are obtained through exchanges between water vapor and bound water ie water absorbed in the solid structure combined with heat transfers consequently understanding and predicting water and heat hygrothermal transfers in such materials is essential to selecting them appropriately adjusting their conditions of use and designing innovative materials however the current analysis of their performance is generally based on limited evaluations at a global scale or via macroscopic models lacking physical informationmy idea is instead to open the black box and start from the fiber scale to explicitly describe the internal physical processes at this scale including sorption dynamics bound water diffusion fiber configuration etc and then to progressively complete and extend this approach to fullscale materials this can be used to build for the first time a generic description understanding and modelling of hygrothermal phenomena in biobased construction materials this physical description will be supported and enriched by several experimental innovations notably internal measurements of the spatial distribution of moisture content and temperature in time will be obtained from noninvasive timeresolved magnetic resonance imaging mri which can be used to validate the models and determine diffusion properties in an unequivocal way finally i will develop an opensource software predicting hygrothermal characteristics and performance based on material characteristics and history of ambient conditions
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breathing life into the new european research area and the era policy agenda through engaging awarenessraising initiatives
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the goal of inspiring era is to leverage and accelerate the valorisation of results from the era policy agenda 20222024 through a serviceoriented hub that connects and supports member state associated countries and stakeholders with regard to their joint implementation of the era actions in close collaboration with the european commission the project aims to create and support a culture of mutual learning to build and strengthen a viable community of practice for era that thrives through from insights and to maximize the broad uptake of valorisation of results stemming from the era policy agenda actions through the elaboration of recommendation and guidance for policymakers
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revolutionizing diabetes management by combining in silico models and ai control for vagus neuroprostheses
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diabetes is a major world health problem approaching epidemic proportions and causing long term health damages due to inappropriate blood glucose regulation pharmacological therapies are limited by numerous side effects as renal insufficiency or heart failure and dose management issues their efficacy is also hindered by often problematic patients compliance this results in an unmet need for automatized closedloop glucose metabolism regulation adaptable to variable patients conditions vagus nerve vn is a major component of the autonomous nervous system innervating internal organs and its electrical stimulation showed preliminary results in modulating glucose metabolism however underlying mechanisms remain unknown posing a highrisk to its feasibility and could lead to indiscriminate stimulation causing multiple side effects compromising breathing or heart rate fine glucose regulation cannot be achieved without better understanding of nerveimplant interaction and circuits stimulated by vns i aim to fill present scientific gaps by developing the first vns neuroprosthesis for personalized closedloopregulation of glucose levels in diabetics this results in a significant challenge defining stimulation policies able to selectively block or activate specific neural pathways while counteracting metabolic shifts and implantnerve alterations to that aim i will exploit modelsdriven interface design and aibased stimulation policies animal experiments will investigate the physiological responses to optimal policies maximising glucose regulation while minimizing adverse events inspecting both cervical and abdominal vns optimal vns will be validated in human trials achieving device assessment in patients diabetmanager will shed light on the underlying mechanisms of vnsmediated glucose metabolism control while providing versatile vn insilico model unprecedent aiarchitecture for its adaptive stimulation and disruptive health treatment
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twinning to boost the scientific and innovation capacity of the universiteti i tiranes to develop sustainable nanosensors for water pollution detection
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susnanos overall aim is to boost the scientific excellence and innovation capacity in sustainable nanosensors for water pollution detection of universiteti i tiranes ut and its highquality twinning partners fundaci institut catal de nanocincia i nanotecnologia univerzita palackho v olomouci and intelligentsia consultants srl to achieve this aim susnano will implement a research and innovation strategy over 3 years based upon 5 objectives implemented via 5 corresponding wpsobjective 1 conduct exploratory research on sustainable nanosensors to detect water pollution in albaniathe goal is to develop innovative sustainable nanosensors to detect heavy metals pesticides and antiobiotics the validated sensors will be used in field tests to provide an environmental assessment of rivers and lakes in albaniaobjective 2 transfer knowledge between experienced researchers ers of ut and the twinning partnersthe goal is to organise short term staff exchanges trainings and seminars for uts ers and the twinning partners ers to complement the preparatory research undertaken in objective 1objective 3 enhance career prospects of earlystage researchers esrs of ut and the twinning partnersthe goal is to enhance the career prospects of uts esrs and the twinning partners esrs by organising short and mediumterm exchanges training workshopsseminars summer schools joint phd programmeobjective 4 improve uts management and administrative capacity for european rd programmesthe goal is to improve the skills of uts directorate of scientific research projects and foreign relations in proposal preparation project management and innovation management for european rd funding programmesobjective 5 raise the research profile of ut and the twinning partnersthe goal is to raise the research profile and scientific reputation of ut and the twinning partners through a comprehensive range of dissemination exploitation communication outreach activities
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the intermediate bodies of the roman cities sociability and agency of the middling groups in roman italy late republic 3rd c ad
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inborc wants to design a more plural and complex image of the roman city to integrate and go beyond the classical vision based on the lite and characterised by a topdown approach as such it focuses on the social economic and political impact of middling groups in the city from the late republic to the 3rd c ad in order to do that the research is based on the study of the intermediate bodies of the cities social aggregational cores intermediate between the family and the city which are our best indicator of the civic action of this stratum of population the project will mainly focus on the epigraphical sources coming from the cities of roman italy however inborc is not geographically strictly limited but it is nourished by punctual parallels coming from the epigraphical documentation of roman provinces the main goals of this research are i analyse the sociability of these groups and ii study their agency in the civic lifethe principal outcome of the project will be a monograph built on a multidisciplinary approach involving epigraphy roman history sociology economic and urban history and archaeology as a support of the monograph i will provide digital open data of the inscriptions analysed in the text ancient texts will be encoded and enriched with metadata city people institutions etc using epidoc xml language in order to integrate new open linked data within existing european einfrastructures eg trismegistos edh edr these goals will be achieved by a unique combination of handson research training courses and workshops on scientific and complementary socalled soft skills facilitated by brown university anhima research center and the university of bologna the success of this project will allow me to assume fixed term tenure track position and eventually to obtain the position of associate professor at unibo
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trustbydesign strong security arguments for symmetric key cryptography
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symmetric cryptographic primitives protect a large percentage of todays data whether in transit or storage this trend is going to increase even more in the future consequently new domainspecific ciphers are needed with significant performance benefits for areas such as memoryencryption multiparty computation or cryptocurrencies great progress has been made regarding their performance less progress has been made for security arguments that seek to proof their resilience against malignant attacks indeed most of the security analysis we apply for symmetric ciphers is based on false assumptions and most attacks trying to break those ciphers are flawed as a consequence it takes several years to build the necessary trust in the security of any new symmetric cryptographic primitives to be deployed and used in times of fast innovation cycles where emerging applications are in constant need for new tailored symmetric cryptographic solutions those slow design cycles of symmetric cryptographic primitives are prohibitive and have to be shortened within the project i plan to enable stronger security arguments and toolbased bounds on keyrecovery approaches which will accelerate the design process this will open the path to a new design strategy of trustworthy by design ciphers and contribute to readytouse and highlysecure symmetric cryptography suitable to satisfy the needs of future applicationsto this end i will analyze fundamental properties of symmetric cryptographic primitives especially related to their representationderive modular security arguments develop a softwareassisted approach to optimize and verify the keyrecovery part of attacksdesign an efficient cacheencryption algorithm to exemplify the potential of the new design framework if successful symtrust will reshape the whole process of designing symmetric cryptographic ciphers to produce trustworthy by design primitives with the aim to shorten the timetodeploy
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understanding the nature of the low energy excess in cryogenic detectors to discover light dark matter
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although numerous evidences from cosmology and astrophysics indicate the existence of dark matter dm which constitutes about 85 of the whole matter in the universe its intrinsic nature is still today one of the major mysteries in physics the lack of the discovery of the socalled weakly interacting massive particles is shifting the attention to additional wellmotivated theoretical models that predict dm particles with lower masses to test these new extremely sensitive direct detection dm experiments have been developed which are now starting to explore energies so low that were considered impossible to reach until just a couple of years ago but these experiments are now observing unpredicted excesses of events mostly incompatible with a dm signal in the previously unexplored low energy region and this irreducible background dramatically limits their sensitivity to new lowmass signals in this project i propose a novel analysis strategy that will lead to the understanding of the nature of the low energy excess providing invaluable information to the european and international experiments working on this field i will also lead and coordinate the data taking campaign necessary for a positive outcome which will employ worldleading sensitive cryogenic devices developed by the supercdms collaboration installed in the cryogenic underground test at the worldclass underground snolab laboratory the project will be completed in a leading research group to which i will bring knowledge on how to efficiently operate a cryogenic detector as well as on how to run a dilution refrigerator this work will extend my experience show my research competencies and independence enhancing the development of my career as a researcher
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debris detection using star trackers
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the project develops a star tracker that is capable of detecting and tracking space debris in orbit and sets up a system that gathers data coming from multiple star trackers a star tracker is an optical sensor on board of a satellite that takes and processes star images to determine the spacecraft orientation because the star tracker is optimized to detect bright dots it is also very well suited to detect space debris that reflects light typically nonstar data is discarded in a star tracker but in this project algorithms are developed that process nonstar signals to verify if they correspond to space debris once detected the star tracker characterizes the orbit and size of the debris this functionality is added to the star tracker which retains its primary function of determining the attitude a database system will be set up to collect data from the different star trackers in orbit and process it such that it can be fed into ssa databases of partnering organizations
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exploiting the untapped potential of fruit tree wild diversity for sustainable agriculture
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crop wild relatives cwr are wild plant taxa closely related to a crop they represent an important source of genetic diversity for the improvement of agronomic traits in the context of the one health initiative temperate fruit trees are essential for human nutrition and health yet cwr resources have hitherto been underused moreover fruit tree long lifespan and a current production dominated by a few cultivars make them particularly vulnerable to the effects of global changes to address this challenge the fruitdiv project will monitor characterise use and conserve the diversity of emblematic fruit tree cwr with a particular emphasis on malus pyrus and prunusto better characterise the genetic and phenotypic diversity of cwr fruit trees and identify favourable traits for future introgression into cultivars fruitdiv will use a combination of floristic ethnogeography and population genomics on genebanks and historical european hotspots of diversity we will then develop new multiomicsbased breeding strategies that combine markerassisted introgression for traits of interest eg resilience resistance to pests and diseases fruit quality with pangenomic prediction and a reduction of cwrassociated genetic loadin addition to breeding programs fruitdiv will also work with networks of farmers and associations to help characterise cwr progeny in various pedoclimatic conditions in europe an europeanwide online platform that provides genotyping and phenotyping data for free will be implemented to promote the use of cwr genitors by breeders and farmers and help disseminate plant material of interest for various usages and cultivation systemsoverall the fruitdiv multiactor approach involving geneticists forestry officers germplasm curators farmers and citizens will foster the in and exsitu conservation of cwr and promote sustainable agricultural practices across europe
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trustworthy artificial intelligence for cybersecurity reinforcement and system resilience
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artificial intelligence ai has lately proved to be a coin with two sides on the one hand it can be leveraged as a powerful defensive mechanism to improve system preparedness and response against cyber incidents and attacks and on the other hand it can be a formidable weapon attackers can use to damage compromise or manipulate systems ai4cyber ambitions to provide an ecosystem framework of nextgeneration trustworthy cybersecurity services that leverage ai and big data technologies to support system developers and operators in effectively managing robustness resilience and dynamic response against advanced and aipowered cyberattacks the project will deliver a new breed of aidriven software robustness and security testing services that significantly facilitates the testing experts work through smarter flaw identification and code fixing automation moreover the project will provide cybersecurity services for comprehension detection and analysis of aipowered attacks to prepare the critical systems to be resilient against them incident response support by ai4cyber will offload security operators from complex and tedious tasks offering them mechanisms to optimize the orchestration of the most appropriate combination of security protections and continuously learn from system status and defences efficiency the ai4cyber framework will ensure fundamental rights and valuesbased ai technology in its services through the integration of demonstrable explainability fairness and technology robustness security capabilities in the ai4cyber components the ecosystem will be validated in three scenarios i detection and mitigation of aipowered attacks against the energy sector ii robustness and autonomous adaptation of banking applications to face aipowered attacks and iii resilient hospital services against advanced and aipowered cyberphysical attacks
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increasing reproducibility through the cocreation of interventions that support a transparent and trustworthy research ecosystem
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trustparency starts from the assumption that what scientists need to trust is that the mertonian process of organised scepticism can operate allowing scientific knowledge to selfcorrect efficiently by extending this assumption we argue that scientists and all other research stakeholders should be open to adopt innovative interventions to the extent that they can trust that these are developed deployed assessed and corrected transparently and collaboratively trustparencys core guiding principle clearly reflects the above argument specifically by advocating for a maximally informed contextsensitive collaborative democratic and transparent approach to facilitating the development of interventions that enhance reproducibility by research performing organisations research funding organisations learned societies and publishers these types of institutions will be empowered to develop their own policy guidelines in the form of a reproducibility promotion plan rpp which will be a sequence of concrete steps to transfer the practices that promote reproducibility to their everyday work and to monitor their effectiveness with mechanisms customised to their specific needs the codevelopment activities of the project will be based with the concerted engagement of the projects stakeholder advisory board sab which is composed among others of 10 national reproducibility networks rns the sab will actively participate in the threestage codevelopment plan of the projects interventions a development b pilot testing by 9 institutions and c validationfinalisation the projects cocreation activities will be applied in tandem with a wide and structured discussion facilitated by the highly innovative comcensus platform from day one trustparency will establish a reproducibility community and invite all stakeholders with stakes in fostering reproducibility to join through an open call distributed via the professional networks
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acoustic and mechanical metamaterials for biomedical and energy harvesting applications
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metacmed aims to link basic research on acoustic and mechanical metamaterials mms to health and wellbeing issues mms have some remarkable properties though to make them properly applicable to the targeted applications their design must be carefully tailored this will be achieved by bringing together a range of supervisory expertise and creating a network of 10 doctoral candidates dcs some of whom will work in the industry the team includes beneficiaries and associated partners who if working separately would not be able to make the planned advances in research and innovation dcs will each consider ways in which human health can be improved using mms eg improvement in the resolution of biomedical ultrasound imaging for eg cancer diagnostics the design of better spinal implants monitoring of bone healing the use of insoles to aid human walking another area of interest is to develop mms that can be used for energy harvesting to better power eg medical devices and reduce reliance on conventional power sources these are all backed up by fundamental studies into the mms themselves to provide the background to achieve these tasks the balance of the network has thus been carefully considered in terms of basic science and applications with input from industry in areas such as mms fabrication and exploitation associated with the above is a strong set of training events where the basic features of acoustic and mechanical mms and their applications will be considered together with softskills training such as writing presenting entrepreneurship gender balance issues stress management regular meetings of the dcs at various member locations will foster collaboration and this will be reinforced by a carefullyselected set of secondments a proper management system for both running the network effectively and properly monitoring and supporting phd progression is built into the proposal ensuring that successful outcomes are achieved by dcs
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growing up in digital europe preparation phase guideprep
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the growing up in digital europe preparatory phase guideprep project further develops the research infrastructure ri necessary to implement the guide birth cohort study this preparatory work will take place across 2022 to 2025 to ready the ri for the fullscale piloting of the guide in 2026 and the first full wave of data collection in 2027 once operational guide will collect data about individual children growing up in europe until those children are aged 24years in approximately 2053guide will be europes first comparative birth cohort study of childrens and young peoples wellbeing the aim of the guide study is to track childrens personal wellbeing and development in combination with key indicators of childrens homes neighbourhoods and schools across europe guide will be an accelerated cohort survey including a sample of infants as well as a sample of school age children each member state and associated country will provide nationally representative samples that are designed to retain statistical power throughout the lifetime of the study the harmonized design will create the first internationally comparable nationally representative longitudinal study of children and young people in europe currently the guide ri is in its preparatory phase which involves the establishment of necessary operational procedures and further crystallisation of the study concept and design to realise the guide fullscale pilot in 2026 and first wave of fieldwork in 2027 the ri needs to develop administratively technologically financially scientifically and legally this guideprep proposal lays out clear aims for these developments in an interlocking system of activities that are shared across consortium partners and managed by the guide leadership team
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modeling how preexisting tcr clones affect vaccineinduced tcell responses
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tcells are increasingly recognized to be pivotal actors in the development of vaccineinduced immune responses through their tcell receptor tcr on their cell surface tcells can recognize antigens derived from pathogens or vaccines the strength of the interaction between the tcrs and the vaccine antigens will direct the tcell dynamics after vaccination in this project we will analyse the tcr repertoires from participants from three distinct vaccination cohorts prior to vaccination and after vaccination we will develop a computational tool later to be transformed into a software package that will allow us to accurately predict by using the baseline tcr data alone which vaccinees will develop a robust immune response after vaccination this tool holds the potential to have an important impact on different aspects and actors of vaccinology ranging from the vaccine industry to public health researchers
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early dynamic screening for colorectal cancer via novel protein biomarkers reflecting biological initiation mechanisms
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dioptra aims to introduce a frontline screening tool that will consider risk factors and protein biomarkers for pinpointing individuals at a high risk for colorectal cancer crc incidence tissue blood samples will be examined towards a discriminative set of prognostic proteins that are detectable via standard bloodwork and can indicate a need for further evaluation ie colonoscopy other data eg medical behavioural will also be considered as potential risk factors artificial intelligence ai will be leveraged for assessing prognostic power while personalised behavioural change will be promoted based on modifiable risk factors given the low citizen participation on crc screening across eu dioptra seeks to broaden the evaluated population boosting participation rates and bypassing age screening thresholds this action is part of the cancer mission cluster of projects on prevention including screening
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marine biodiversity and ecosystem functioning leading to ecosystem services
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the european union and its member states mss have a fundamental need to understand how biodiversity and ecosystem functioning must be maintained to ensure that they deliver ecosystem services goods and benefits which in turn must be sustainably used by society central to this and as the raison dtre of this call the mss need to value these natural and social capital aspects of ecosystems the overall aim of marbefes is to determine the links between the biodiversity and functioning of coastal and marine ecosystems and the resulting ecosystem services and societal goods and benefits in this it will achieve ecological and socioeconomic valuation through a validated set of innovative tools in a distributed toolbox trl 6 to enhance policy and governance to secure benefits for current and future generation we will progress substantially beyond the current stateoftheart understanding of the causes and consequences of the maintenance loss and gain of biodiversity and ecological and economic value and the repercussions of this for the management and governance of european seas involving 23 highly experienced partners the project outputs and outcomes are based on developing and validating a set of ecological economic and sociocultural valuation tools using existing and new information and data in 12 broad belt transect case studies these cover the breadth of european marine biodiversity from the arctic to semitropical areas across dominant habitats and iconic species and from shallow to deep areas and encompass a range of socioeconomic contexts as such and through stakeholder cocreation for policy relevance marbefes shows the tools to value different natural capital resources and inform planning from financial allocations to management and with monetary and nonmonetary benefits in this the project advances our knowledge through linking marine biodiversity and its ecological structure and functioning to ecological and economic valuation
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accelerating and mainstreaming transformative naturebased solutions to enhance resilieence to climate change for diverse biogeographical european regions
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natalie addresses the risks posed by climate change and its impacts and proposes to advance the concepts of ecosystembased adaptation in europe combined with climate resilient development pathways as the means for impact driven naturebased solutions nbs to accelerate and mainstreaming the adoption of nbs for resilience to climate change which is also the cornerstone identified in the recent ipcc ar6 wgii report natalie will deliver innovative and practical innovations in cocreation of solutions and stakeholder engagement modelling testing monitoring and validation mechanisms that will support regions and municipalities to plan and develop adaptation actions bringing along valuable knowledge and experience as actionable knowledge for adaptation and impactdriven nbsto achieve this goal natalie will develop a transformative nbs booster pack of 25 solutions innovative actions that address the key six levers for transformative change 1 socially acceptable smart and financial innovative solutions 2 societal stakeholder and citizen engagement 3 larger systemic solutions at regional level 4 monitoring evaluation and costbenefit analysis of solutions 5 prefeasibility study 6 evidencebased outcomes and recommendations the main goal is to accelerate and foster the mainstreaming of nbs by forming an ecosystem based adaptation for regional resilience the booster innovation package includes innovative technical modelling and it solutions including an innovative nbs knowledge booster and digital twin governance policy recommendations at eu and regional level financing and public engagement transformative solutions 18 nbs measures will be demonstrated at 8 case studies in different biogeographical regions of europe in greece romania latvia canary islands belgium flanders france norway and italy veneto region as well as five follower regions in iceland the balearic islands romania france and lithuania
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building responsible technology global digital transformations tech workers agency and the making of artificial intelligence
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how could developers and deployers of digital technologies and artificial intelligence ai make social responsibility a key element in everyday industry practices and technological decisionsto answer this question at the core of the eu digital compass 2030 and the recent publication of the ethics guidelines for trustworthy ai behindai will open up the algorithm black box and deploy an innovative international action research in collaboration with thoughtworks a major global technology and consultancy company spearheading innovative responsible tech initiativescarrying out close studies of how decisions are taken during software design and development the project will explain those decisions by understanding team members reflexive perspectives on tech and how those were shaped by their personal and professional trajectories furthermore it will analyse concrete workplace organizational setups and the ways in which they allow or limit the application of those ethical and social perspectives in the everyday reality of the global tech industryas a msca global fellowship behindai will be carried out by sbastien antoine under the supervision of eu tech industry expert sen riain and organized through a closely coordinated transnational team from europe maynoothireland latin america ufrgsbrazil asia hk polyuchina and the us upennusa with strong organic links between the academic and industry partnersin this way the project will provide a new perspective on how the socialization learning and reflexive negotiation of tech developers can address critical ethical and social issues in ai this will provide new directions for addressing both theoretical challenges and policy dilemmas currently being considered at the highest levels ensuring that the key principles of ethical ai championed by the eu reach the shop floor of the tech industry shaping concrete software developments and broader digitalization processes of economy and society
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voltagecontrolled electronic and magnetic phase transitions in nanodevices based on correlated mott materials
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matter can exhibit a complicated phase diagram comprising a large number of different electronic and magnetic states while phase transitions induced by temperature or pressure variations doping and optical pulses have primarily been studied in bulk materials phase transitions driven by a bias voltage in nanodevices are mostly unexploredvoltemag will demonstrate how different electronic and magnetic phases can be tuned through the application of a bias voltage when a material is incorporated into a twoterminal nanodevice especially in the case of materials from the strongly correlated oxides family the researcher dr anita halder guided by prof s sanvito and dr a droghetti at trinity college dublin ireland will develop and use a solid theoretical approach based on the nonequilibrium greens functions density functional theory and dynamical meanfield theory to predict and establish the fundamental physics of voltageinduced magnetic ferromagneticantiferromagnetic as well as electronic metalinsulator transitions devices relying on electronic phase transitions behave as multistate transistors and resistive switches which are currently the key hardware components to implement neuromorphic computers the results of voltemag may therefore lead to possible technological developments apart from their fundamental character voltemag will then set up an extended search for new optimal materials for potential applications via machine learning algorithmsvoltemag will merge the researchers background in materials modeling with the expertise of the host institution in quantum theory for nanodevices the applicant will be trained on several theoretical and computational techniques essential for her future scientific career she will be able to expand her scientific interests by being part of a large and dynamic group and she will become an independent and mature researcher
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applied stereotypes social networks and selffulfilling prophecies how stereotypes reinforce social inequalities
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social inequalities are reinforced within the education system stereotypes may have a major role in this since they may lead to differential treatment of minority students resulting in selffulfilling prophecies that hinder their academic outcomes beyond the obvious role of teachers that of peers is also crucial as they are important parts of students socialisation how they are perceived by peers could affect their motivation interests achievements and relationships however it is not clear how much students apply stereotypes to their peers given the wealth of individuating information they have about themthis project introduces the new concept of applied stereotypes this expresses how an individual perceives another along stereotyperelated dimensions such as warmth and competence i propose that applied stereotypes develop jointly with peer networks of school communities for example the application of stereotypes could be mitigated by friendships judging ones friends more positively or by accepting the established personal reputation of specific peers as warm or competent instead of judging them based on stereotypes such peerbased processes of stereotype application combined with the effect of applied stereotypes on outcomes are crucial to understand as students educational trajectories emerge gradually in school surrounded by peers the project investigates social mechanisms that explain the dynamic interplay between stereotypes applied stereotypes and outcomes as there is no established way to measure applied stereotypes i develop a novel dyadic measure that captures who perceives whom in what way and collect detailed data in ten english secondary schools i conduct empirical analyses by using and extending cuttingedge methods of social network analysis by taking a sofar neglected level of applied stereotypes into account this project has the potential for a groundbreaking impact on the study of social inequalities
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integrated analysis of air pollution human health and income inequality for alternative climate change scenarios
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air pollution is the fourth global risk for human health causing up to 68 million deaths annually worldwide the main anthropogenic driver of air pollution is fossil fuel combustion which is also the main source of greenhouse gas emissions therefore the implementation of alternative longterm mitigation strategies aligned with the paris agreement the european green deal or the promotion of the sustainable development goals will have direct implications for human health attributable to air pollution while different studies have estimated health impacts attributable to longterm exposure to ambient air pollution these have focused on the region level and do not incorporate population heterogeneity considerations eg income groups furthermore household air pollution is normally ignored in global scenario analysis in this framework the aim of the graphics project is to include population heterogeneity in the analysis of health impacts attributable to ambient and household air pollution first graphics will explore which is the current and future contribution of different population groups to air pollution for alternative scenarios at regional level then the project will estimate the health impacts attributable to air pollution for the different groups in a business as usual scenario and how they benefit from the implementation of alternative scenarios codesigned with multilevel stakeholders that represent different socioeconomic narratives policies to reduce income inequality air pollution control policies or deep decarbonization strategies for that purpose graphics will apply a unique opensource integrated methodology that subsequently links an enhanced integrated assessment model with air quality tools developed during the project graphics will make me grow professionally and achieve the next step in my research career and it will open avenues for future research that will also benefit the hosting and collaborating institutions
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realtime nutrient sensing for mapping fertilizer needs
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within the project livesenmap we will collect in collaboration with farmers for the first time a highresolution dataset of the crop nutrient status over multiple growing seasons to validate and deploy an ensemble of predictive models for fieldscale and regionscale nutrient prescriptions we will produce 20000 of our test strips for the main plant nutrients npk for field testing at test sites in bavaria and north rhinewestphalia over the project duration together with farmers we will develop our business model and drive product development collaborating with potential customers early on will be key for i deploying our technology to create the dataset needed to consolidate machine learningbased predictions and for ii testing the business model and verify our competitive position in the intended market the insights gained from potential customers will be combined with a detailed stakeholder and market analysis to validate the business model and pricing strategy we will be able to identify and engage key strategic partners such as agricultural and digital businesses in this way we can build and strengthen our network to highlight the unique value of our approach as a tool for reorienting towards a more sustainable and resourceefficient agriculture in europe and beyondthe project results will be commercially exploited by a company that will over a subscriptionbased fertilization recommendation service to farmers
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the uncharted margins of philosophy an aienhanced material history of arabic logic across time 12th19th c and frontiers from spain to india
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contrary to the popular belief that philosophy in arabic declined around the 12th century it has actually thrived in forms that are largely unexplored arabic philosophical manuscripts present a wealth of textual and visual annotations by students teachers and individual scholars who have kept selecting manually copying teaching and studying philosophical texts until the 19th century well after the printing revolution the margins of manuscripts served across the araboislamic world as material platforms akin to todays academic journals for this choral philosophical enterprisewith a few notable exceptions this reallife philosophy is cut out of historicophilosophical accounts in which the spotlight is often on a selection of great minds the views shared by professors students and scholars have hitherto remained on the uncharted margins of manuscripts and on the fringe of the global history of philosophythe uncharted margins of philosophy unmap aims to bring those contributions from the margins of manuscripts into the forefront of philosophical discourseby delving into the paratextual annotations within 207 manuscripts of the logic of avicennas d 1037 book of healing spanning seven centuries and three continents unmap promises to broaden the horizons of the global history of philosophy it will 1 shed new light on the uncharted routes of cultural transfer in the premodern globalising world 2 provide a generalisable model of research on neglected sources for the history of philosophy 3 challenge the paradigm of knowledge as the product of a few soloists and their intellectual hegemony by bringing to light marginalised traditions from the pastwith innovative techniques including aidriven handwriting analysis on manuscripts with convolutional neural networks this project pioneers a new material history of philosophy bridging the gap between material philology philosophy history and digital humanities
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the soil biodiversity and functionality of mediterranean olive groves a holistic analysis of the influence of land management on olive oil quality and safety
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after more than fifty years of intensive agriculture application the environmental situation for many olive groves across the mediterranean region is quite dramatic in terms of land degradation biodiversity impoverishment functionality loss which may have already impacted on the quality and safety of olive oil one of the most important commodities produced in europe through the implementation of a series of multidisciplinary and interdisciplinary wps this project will perform the first rigorous diagnostic of the environmental situation of olive groves soils at a broad scale considering the most important areas of olive production at the mediterranean region and its relationships to olive oil quality soil olive aims i to analyze the impact of pollution and land degradation on soils from olive groves in terms of multibiodiversity ecological function at different levels of organization and scales ii to investigate the relationship of soil health status with quality and safety of olive oil iii to implement effective soil amendments and ecological restoration practices that promote manifest soil biodiversity and functionality enhancements in permanent mediterranean olive orchards across its native range of distribution that should be translated to improvements in olive oil quality and safety iv to define rigorous ecological thresholds that allow to implement future clear norms and regulations in order to design a novel certification for healthy soils in european olive orchards
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project metalis
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aionis doo is a deeptech startup company developing the next generation of metal additive manufacturing machines with its patented technology aionis doo aims to revolutionise metal 3d printing by speeding up the process of producing metal 3d printed parts project metalis aims to analize the metal additive manufacturing market update the scaleup business model of aionis doo and secure an investment to implement said business model metal additive manufacturing market includes sales of metal 3d printers as well as metal 3d printed parts which are already in use in the automotive aerospace medical devices metal tooling industry and other related industries the most viable business solution to fullfill the market demand for metal 3d printed parts shall be chosen based on freshly gathered market analysis data the business model will be updated to fit the current market demands and an investment shall be secured to implement the scaleup of aionis doo
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construction of novel certification methods and means of compliance for disruptive technologies
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clean aviations ambition to go over decisive impactful steps in demonstrated disruptive aircraft performance compatible with 2035 eis will only be possible if the future regulatory framework is not an impediment to innovation certification shall still improve safety while shortening time to bring new safe products to market and into service and maintaining european leadership and competitiveness having derisked the certification path is an important stepthe project will deliver a comprehensive set of regulatory materials on certification together with preliminary description of methods of compliance applicable to the three thrusts of clean aviation and a first status of comprehensive digital framework of formalized collaborative tooled and modelsimulationbased processes for certificationcritical challenges tackled through proof of concepts for the regional and short and medium range aircrafts including hydrogen will be easily transposable and scalable to different product lines and aircraft segments such as general aviation rotorcraft business jets or commercial mediumlong range affecting the complete fleetthis initiative represents a tremendous opportunity to reinforce european leadership and sovereignty in leveraging our position as the forerunner of worldwide new certification frameworks the composition of the project consortium reflects a smart mix of aircraft manufacturers cs25 cs23 engine manufacturers cse equipment manufacturers research centres universities sme and plm experts playing a pivotal role between innovation and the development of safety security or environmental protection standards the involvement of easa experts acting together with industrial and research technical teams for the conception endorsement of new solutions and enhancement of the international community acceptance is also essential
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targeting the dark side of the human genomenoncoding regulatory elementsto treat diseases
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the 98 of the human genome sometimes referred to as the dark side of the human genome contains many noncoding regulatory elements ncres which control the combinational expression of the limited number of genes only 2 of the genome to form diverse cell types and tissues of a complex human body all from the identical copy of the genome most genetic variants and mutations also lie in ncres however the number of ncres as potential therapeutic targets remains very limited in targetncres two novel and unique highthroughput screening systems further developed within the ecr starting grant silencer will be exploited for their innovation and commercial potential to harness the therapeutic values of ncres we aim to test and validate previously identified top hits in vivo carry out pilot research to show the technologies to be effective and appropriate for commercial applications clarify the ipr protection strategy engage partners and stakeholders to focus on potential pipelines and perform a market search for future business development
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challenging the fundamental limit of angular dispersion by hybridizing light and matter
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interference is one of the most fundamental phenomena in optics allowing us to confine filter manipulate and steer light with exquisite precision it is at the core of thinfilm optics and nanophotonics two areas of science that catalyse major scientific and industrial advances one fundamental property of optical interference however constitutes a major limitation the characteristics of any interferencebased structure depend on the angle between the light wave and the structure itself eg the transmission wavelength of optical interference filters shifts strongly when the angle of incidence changes so far this angular dispersion effect remains a largely unchallenged fundamental limit in optics hyangle now proposes a novel strategy based on hybridizing light and matter states to break the angular dispersion limit by tuning the coupling strength and offset between a photonic resonance formed by optical interference and the electronic resonance causing optical absorption in a material i expect to be able to realize interferencebased optical devices with spectrally sharp and angleindependent transmission reflection and emission we will explore the physics potential and limitations of this approach by developing and studying dispersionfree optical filters colour converters and leds with narrowband spectra we will then pursue two specific applications namely hyperspectral cameras and bioimplantable lensless fluorescence microscopes where our devices will enable major advances in capability and unprecedented performance in deep tissue applicationsour devices use organic materials that can be readily processed by highthroughput vacuum deposition and even from solution the amorphous nature of these materials renders them intrinsically compatible with the dielectric and metallic films widely used in the optics and display industry the strategy of hyangle thus bears great potential for rapid development and broad application
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