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enabling noble metal reactivity with earthabundant metals for selective bond functionalization strategies
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the functionalization of cc and cx bonds x i cl br and h is fundamental in organic chemistry for making carboncarbon bonds or for introducing molecular complexity chemists have traditionally relied on precious metals catalyst such as palladium platinum and iridium to facilitate these transformations some of these metals if not all of them are one of the rarest on earth leading to increasingly high prices and uncertainty in future supply chains as their availability continues to decline it is important to address the scarcity of these metals to secure a sustainable future one solution is to develop new technologies that allow one to substitute the precious metal catalysts for those that are abundantly available eg iron without sacrificing on performance and selectivity because of the fundamental differences between the properties of iron oneelectron chemistry and the secondthirdrow transition metals twoelectron chemistry this approach has shown to be a daunting task if however it could be shown that iron could reliably engage in twoelectron chemistry then the reactivity of precious metals could be unlocked for iron through bespoke ligand design we will attempt to unlock this twoelectron chemistry and apply it to three of the most common reactions in organic synthesis i crosscoupling ii alkene metathesis and iii ch bond functionalization by relying on a distinct twoelectron mechanism a treasure trove of possibilities for selective bond forming reactions is generated overall this work is expected to result in new avenues in earthabundant metal catalysis and provide new methodologies to construct ever important cc and cn that can be used to induce molecular complexity
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language contact and heterogeneity in the hybrid chinese dialects in northwest china
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this project focusses on highly endangered hybrid chinese dialects spoken in the gansuqinghai aera namely wutun zhoutun gangou xining linxia and tangwang which are reputed to have been highly altaicised the main objective is to determine their position within the northwestern branch by identifying the different strata of altaic influence found on the morphonological level it aims at demonstrating the high degree of heterogeneity of certain specific features that are reputed to have been induced by contact with mongolic and turkic languages namely nominal case markers pronominal forms third person and demonstratives and tense and aspectual markers as several mongolic languages are spoken by different minorities in this region many scholars thought that these nonsinitic traits have been induced through contacts with these populations and that a linguistic area has formed leading to their areal diffusion however many of those are also found in dialects that have not been in direct contact with altaic languages in recent time including those spoken along the yellow river spread between the shanxi and shaanxi regions therefore a certain continuity between the dialects of these 2 regions exists while secondary influence of mongolic languages has further developed the changes in those dialects by comparing this selection of forms the project will 1 document the typological diversity found in the hybrid chinese dialects of the gansuqinghai area suggesting different source of borrowing or a different reanalysis process 2 link the contactinduced traits and forms identified in the gansuqinghai hybrid dialects with those of the dialects spoken in he shaanxishanxi region 3 identify the different strata of altaic influence in the hybrid dialects 4 show that the secondary contactinduced features have been transferred through direct contacts with mongolic languages and that several isoglosses can be identified rather than a linguistic area
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modelling the evolution of the motherinfant relationships
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the intimate relationship between mother and infant since the first moments after conception contributed to shaping the evolution of our species and its behaviour the motherinfant nexus changed through time adapting to environmental changes new subsistence economies and social constraints yet how the biocultural transitions across human evolution influenced the mode and time of pregnancy and nursing of human infants is underinvestigated mothers will use recently developed cutting edge methodologies of trace elemental and isotopic analyses in dental enamel and dentine to identify the change from an exclusive breast milk diet to one that includes nonmilk foods and to assess the mothers diet and well being indeed dietary behaviour including that of the mother during pregnancy deeply affects human growth and development from the earliest phases of ontogenesis and is chemically recorded in developing dental enamel the goal of mothers is to build consistent interpretative models based on contemporary infants with controlled dietary and anamnestic history to reconstruct health diet and growth trajectories in early life on an extensive collection of human dental specimens from the upper palaeolithic to neolithic until urbanization in italy and croatia also the profound chemical differences in dental enamel between breastfed and herbivore milkformulafed children will allow the identification of the early use of nonhuman milk and shed light on the herbivore domestication and on alloparental care in past human populations this project adds value and competitiveness to the bioarchaeological research landscape in europe not only will my project be of interest to a broad range of academics within the social sciences but it can inform presentday public health policy measuring the effect of dietary shifts in childrens growth and development
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innovating preparedness by leveraging synergies and enhancing results of drm projects
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the synergy project intends to promote preparedness with the coherent and synergic involvement of the different actors of disaster management these actors include first and second responders citizens communities education systems authorities and public administrations business companies and practitioners the project will concentrate on five needs identified for disaster preparedness i involvement of all relevant actors in building preparedness ii strengthening preparedness education and training iii communicating with citizens iv management of spontaneous volunteers v ensuring sustainability of solutions for preparedness to address these needs synergies is leveraging the knowledge experience and results of five h2020 projects engage resiloc links impact builders and one nationally funded project ready2help the results of these projects will be integrated with practitioners best practices and experiences revised and improved increasing their level of maturity targeted research including social science expertise will be dedicated to covering remaining gaps and supporting the integration work three real preparedness cases will offer the opportunity to orient the project work evaluate the progress and demonstrate the final results these preparedness cases are real situations in which stakeholders intend to improve preparedness with a better involvement and empowerment of citizens the synergies activities will last 36 months with a consortium composed of 16 partners representative of all the types of stakeholders in drm including research organizations business companies first and second responders civil society organizations and authorities
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strange nuclear matter from firstprinciples hadron scattering amplitudes
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strangescatt will assess the role of strange quarks in nuclear physics by performing firstprinciples computations of scattering amplitudes to study interactions between hadrons with strange quarks the presence of strange quarks alters the properties of atomic nuclei and nuclear matter for instance the relationship between the mass and radius of neutron stars depends on the dynamics of strange quarks produced in their core however quantitative predictions of neutron star masses and radii are complicated by our ignorance of the fundamental interactions of baryons with strange quarks hyperons such predictions are timely given the advent of dedicated neutron star observatories multimessenger astronomy and earthbased experiments involving baryon resonances and nuclear matter nuclear interactions are rooted in qcd the fundamental force which binds quarks inside hadrons and hadrons inside nuclei the bridge between fewbody and manybody dynamics is made systematically with effective theories of the strong nuclear force which require as input fewhadron scattering amplitudes as well as their quarkmass dependence this project will compute two and threehadron scattering amplitudes between nucleons and hyperons directly from qcd using highperformance computer simulations on a spacetime lattice lattice qcd computations of scattering amplitudes have improved markedly thanks to algorithms developed by the pi so that accurate and precise firstprinciples computations of are finally within reach the unique ability of lattice computations to vary the up down and strange quark masses near their physical values is necessary for fully predictive effective theories the pis experience in lattice qcd computations of scattering amplitudes makes him ideally suited for strangescatt which supports groundbased experiments and astrophysical observations by probing the role of strangeness in hadron interactions nuclei and nuclear matter
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influential adolescents
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the inad influential adolescents project addresses an urgent need to understand how to influence adolescents attitudes and behaviors regarding key societal problem areas such as interethnic attitudes substance use and environmentallyfriendly attitudes to this end i aim to identify the most influential adolescents in classrooms who could spread attitudes and behaviors among peers studying not only individuallevel indicators of social influence but also their interaction with contextual factors could be a key element in identifying the most influential adolescents across a range of contexts and outcomes potentially solving inconsistencies in the prior literature such knowledge would enable the preparation of costefficient interventions that would include only a few most influential adolescents yet influencing all classroom members in three interconnected studies i will investigate how various potential individuallevel indicators of social influence 1 identify most influential adolescents across different classroom structures 2 determine adolescents ability to affect the most important norms 3 taking into account a short and a longterm change in attitudes and behaviors i will employ computational social science methods which help to capture complex social processes in study 1 i will develop a novel theoretical model based on interdisciplinary research and theories by combining theorybuilding and agentbased modeling in study 2 i will calibrate and empirically test the developed theoretical model using longitudinal social network analysis in study 3 i will conduct a computer simulation of how changes in attitudes and behaviors of a few most influential adolescents influence change among all classroom members
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green solvent recycling for sustainable ecofriendly perovskite photovoltaics
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in response to recent climate tragedies european union eu is taking rapid action with its ambitious european green deal egd to transform our economies and societies greener as a result the eu is encouraging the transformation of our buildings and vehicles from energy consumers to energy producers by installing lightweight flexible transparent lowcost highefficiency solar panels these are precisely the features of thinfilm perovskite photovoltaics peropvs drawing insights from tremendous silicon pv waste awaiting treatment the recycling technologies within a circular economy become a prerequisite prior to the widespread commercial adoption of any pv technology it is particularly important for perovskite photovoltaics to mitigate lead pb consumption and prevent leadcontaining waste releasein recent years lead recycling was raised to extract lead ions from the endoflife modules through lead absorbents and subsequently recover lead ions to lead iodide for new module fabrication however the low atomic efficiency and involvement of hazardous solvents in current recycling technology diminish the economic benefits and industry compatibility hence dr xun xiao intends to solve the issue by employing ligandmodulated coordination management limcom to develop a novel ecofriendly recycling system for a sustainable and circular perovskite pv system that goes beyond the stateoftheart er intends to bring a lowcost highefficiency and pollutionfree solution for peropv waste by utilizing intermultidisciplinary research involving physics chemistry materials science and device engineering with the host institutions excellent infrastructural resources the proposed project ecopv complements the ers expertise in leadrecycling for perovskite pv and the host scientists knowledge of green solvent engineering overall new expertise obtained via this fellowship will help er mature in managing his future research group ideally in europe
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space universal serial bus
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orbital modular robotic is a key factor to support sustainability in space it is then possible to combine modular components to either create a satellite or in the event of malfunction to replace a module to connect such modules standard interconnects with multifunctional features are required the standards provide the laws to connect the space along different functional lines including among those mechanical electrical thermal data and fluidic for the onorbit servicing market these standards play a key role to enable space connectors to mate two spacecrafts in a universal and serial way several european solutions are already available with a reasonable level of maturity to mechanically connect two space elements and provide data and power transfer however there is not a set of common recommendations agreed on by representative european users of space connectors considering the huge impact of these multifunctional interconnects at system level it seems critical to first foster cooperation among them to enable a higher level of standardization to assemble future elements coming from different sources the main objective of this project is to pave the way for a more flexible universal and serial interface usbtype leveraging the existing standard interconnects for onorbit servicing and assembly applications after the definition of a standardization level the design of a universal and serial standard interface will be proposed and demonstrated orienting its features towards compactness docking symmetry large docking misalignment tolerances large loads transfer datapower transfer redundancy and especially interoperability with other interfaces currently interoperability is the only remaining requirement which is not met by any existing space connectorinterface the project will then perform a dedicated experimental benchmark to confirm the achievement of this specific requirement as well as its prospective industrial exploitation
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transdisciplinary approaches for systemic economic ecological and climate change transitions
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agroecologytransect aims to contribute to releasing the full potential of agroecology for european agriculture by strengthening the knowledge base for farmers and advisors and supporting decision makers it aims to deliver robust evidence of the benefits of agroecology on climate change mitigation biodiversity and farm socioeconomic resilience to achieve these objectives agroecologytransectsupports the transition to agroecology through coinnovation dynamics including a transdisciplinary collaboration between researchers agronomy animal sciences ecology sustainability sciences socioeconomics and political sciences and stakeholders and mobilisation of knowledge and expertise in 11 multiactor innovation hubs ihs which have been engaged in agroecological transition for several years the selected ihs reflect a diverse range of crop animal and integrated croplivestock systems biogeographical areas and socioeconomic european landscapes agroecologytransect will i deliver a tool to better quantify benefits of agroecology for climate biodiversity and farm resilience ii identify drivers barriers including social norms opportunities and solutions to enhance adoption of agroecological principles and iii launch a toolbox to deliver pragmatic recommendations for the implementation and expansion of agroecological practices by farmers advisors policy makers and other actors along the value chain finally agroecologytransect will assess how policy instruments facilitate or limit the expansion of agroecology and will provides a comprehensive set of scalespecific policy recommendations for unfolding the potential of agroecology from regional to eu levels by overcoming current biotechnical social and political lockins agroecologytransect will support the achievement of relevant targets of key eu policies as the common agricultural policy the green deal and the farm to fork strategy
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lignocellulosic oil novel biofuel platform for maritime transportation
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seafarer has the objective to further mature demonstrate and bring to market the nextgeneration bio fuel oil process allowing oil refineries to retrofit for 100 climateneutral operations our patented technology is the first process for highefficient sustainable biomass conversion using lignocellulose and even pure lignin as feedstock the most abundantly available nonedible waste biomass on earth yet currently to 98 unexploited our process is simple onestep reaction no catalysts 80 energyefficient and more than 2times cheaper than all existing biofuel oil production methods our technology is thus highly scalable able to produce lignocellulosic biofuel oil lbfo that is fully miscible with all current liquid fuels a unique feature especially for the maritime sector where engines found aboard large ships are adapted to more crude fuels ie no refinement step needed for using our lbfo and where replacing heavy costly engines is not an option
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metalcontaining radical enzymes
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the pharmaceutical chemical and polymer industries are cornerstones of europes economy a key element for theirtransition to more sustainable processes and to innovative new compounds is biocatalysisof particular interest are metalloenzymes ie proteins that host a metal cofactor they catalyze a multitude of redox andradical reactions to access reactions that are unknown in nature artificial metalloenzymes can be created they combinethe newtonature catalytic activity of metal complexes with the selectivityinducing environment of the active protein siteto develop novel biocatalysts a highly interdisciplinary skill set is needed metrazymes will create a phd school acrossleading european universities that will train the next generation of scientists capable of tackling the design development andimplementation of novel enzymatic reactions in a holistic approach it brings together computational bioscientistsbioinorganic and polymer chemists and bioprocess engineers using artificial and repurposed metalloenzymes as the focalpoint the esrs will develop novel biocatalysts for radical reactions of high synthetic value such as the late stagemodification of pharmaceutical intermediates or the synthesis of polymers from renewable monomers to train the esrs inthe needs of industrial biotechnology the consortium includes eight of europes leading pharmaceutical chemical andenzymology companies the esrs will benefit from a vast transferable skills training program delivered by five trainingpartners highlights include a nature masterclass and wikipedia workshop communication partners such as wikimedia andthe industrial biotechnology innovation centre will act as muliplicators for the communication of results moreover the esrswill work with artist that use biology as their way of expression to create an artzymes exhibition that will foster the ersscreativity and result in a an unique form of science dialogue with the general public
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cocreating coexistence advancing policies practices and stakeholder engagement for integrating wildlife and livestock into sustainable multifunctional landscapes in europe
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the recovery of wildlife populations large carnivores and large herbivores has created many additional challenges for pastoralism already under pressure from multiple socioeconomic drivers these challenges include damage depredation extra costs and many social conflicts some of the major obstacles to addressing these challenges are conflicts between stakeholders and the contested nature of relevant knowledge the coco project will address these obstacles by adopting a multidisciplinary approaches with a strong social science representation and a multiactor approach with widespread stakeholder engagement that facilitates cocreation of knowledge with high legitimacy the process will cover a the relationship between livestock husbandry practices and damage from wildlife b ways to integrate wildlife management and pastoral management c perceptions and values that different stakeholders have about the pastoralismwildlife interface d experience with different governance structures e the potential of new and emerging technologies in both wildlife and pastoral management and monitoring and f a cost benefit analysis of different scenarios for pastoral and wildlife management the project will use methods as diverse as systematic reviews field inspections facetoface interviews focus groups questionnaires and modelling the projects ambition is to collect original quantitative data from at least 1000 pastoralists 1000 hunters and 1000 landowners and qualitative data from 100s of stakeholders deployed in a comparative way across 12 countries the insights stemming from the reviews the analysis of new data and the modelling will be integrated into a roadmap for coexistence that produces policy relevant recommendations for a better standardization harmonization and integration of both pastoral and wildlife management systems this will reduce conflicts and secure multifunctional landscapes for both pastoralists and wildlife
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slow excitonics for minimalistic and sustainable photonic and optoelectronic systems
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modern technology should not only provide improved efficiency but follow sustainable and minimalistic design principles for an optimised ecological footprint photonic applications eg used for information processing in logistics or sensor systems currently require more and more complex technological solutions to speed up data storage and processing while creating nonrecyclable waste slowtonics aims at providing a paradigm shift based on biocompatible organic optoelectronic and photonic componentsthe design principle of digital luminescence developed in my research group combines easily processable excitonic states at long lifetimes 1 s with a programmable oxygenbased switch of the luminescence to create a unique programmable photonic framework by using organic semiconductors such systems offer a low ecological footprint small material consumption and a high degree of material tuneability for tailormade technological solutions first prototypes of programmable luminescent tags have demonstrated the potential of this technology yet missing the requirements for industrial application based on the existing expertise of my research group in the fields of organic optoelectronics and spectroscopy of soft luminescence materials slowtonics will overcome current limitations to realize industryrelevant systems for optical data storage and exchange and extend the application of digital luminescence towards luminescent security label and multicomponent sensor systems once having developed novel communication components we attempt to realize these designs made only from materials found in nature this is an essential ultimate step because a world with an evergrowing demand for information requires systems that provide functionality and allow for responsible use our approach aims at systems that have material footprints of 01 mgsystem making them truly minimalistic and sustainable
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acceleration of photocatalytic green hydrogen production to market readiness through valueadded oxidation products
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with rising anthropogenic co2 emissions resulting in climate change solutions to rapidly bring green hydrogen to market are required ph2otogen aims to build a scalable photocatalytic flow reactor for green hydrogen production with parallel production of valueadded oxidation products which will contribute to the revenues of the overall system the ph2otogen consortium will use advanced characterisation techniques to determine promising and novel combinations of semiconducting materials to achieving an average solartohydrogen efficiency of 5 over 500 hours in a 500 cm2 demonstrator
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blood in the theater gladiatorial and other associated spectacles in roman and late antique greece
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the aim of this project is an analytical study of one of the most spectacular kinds of roman cultural performance namely the gladiatorial games and other associated spectacles in the eastern mediterranean the candidate will use the geographical area of modern greece as a casestudy and will approach the phenomenon of the presence of these new for the greekspeaking east spectacles from the point of view of the economic and the cultural dynamics during the roman period in the cities of this areathe project will address three particular subjects a the geographical and chronological distribution of these spectacles in relation to the total number of cities that were active during the roman period in the area of modern greece b the type of venues in which these shows were staged and c the transformations that the gladiatorial and associated spectacles underwent from the late 3rd to the 6th centuries ce intention of the candidate is to conduct a synthetic research embracing all the available sources of historical information literary sources epigraphic evidence and archaeological data the results of which will be quantified and visualized ultimate scope of the project is to push forward the knowledge concerning issues of roman economy imperialism cultural influence and identitythe project will be led by dr michail karambinis under the supervision of dr athanasios vionis associate professor 2009today and director of the archaeological research unit at the university of cyprus 2020today dr karambinis is familiar with the historical and archaeological context of modern greece and he has a published record concerning the two basic axes of the project the urban systems and the gladiatorial spectacles in roman greece dr vionis has worked extensively on late antique and byzantine urbanism rural landscapes material culture and daily life
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accelerating local innovation ecosystems in europe
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europe has been in the forefront for research and innovation even though at different paces depending on specific location in this context accelero accelerating local innovation ecosystems in europe aims at contributing to reverse the unbalanced business activity in europe by increasing the attractiveness of less advanced ecosystems making modest and moderate innovation ecosystems more attractive to local startups that will benefit from a strong local support and avoid relocation to eu hubs as well to international companies interested in setting up their businesses outside the established and wellknown centres it also aims at tapping into the potential of local ecosystems through codesigned programmes of activities proposed jointly by business acceleration entities located in less connected innovation ecosystems modest and moderate and innovation hubs strong innovators and innovation leaders to improve the quality of business acceleration services their network outreach and scaleup support accelero has the ambition of creating a paneuropean community of business support organisations bsos as the onestop shop for all bsos and its customers the startups and smes as well as for peertopeer exchange networking and connectedness for all stakeholders engaged in the broader innovation ecosystem this will be achieved with an initial accelero extended community apart from consortium members to cocreate and pilottest highquality business acceleration services with european bsos from emerging and moderate innovators together with experts from strong and leader innovation regions or member states followed by the launch of the community inside euroquity platform
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high gains high risks for whom a holistic approach to the inequalities of working while studying trajectories grow
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across europe 11 million university students 80 combine their studies with paid employment a highly relevant question therefore is how students lives are affected by student employment in the long run yet existing segmented research has failed to provide a comprehensive approach to assess the implications of student employment for students later in life it has remained unclear who gains and risks when working while studying and under which conditions grow will break with these previous conventional approaches by taking on a holistic approach which will jointly analyse the positive and negative effects of student employment for educational and labour market outcomes grow will bridge segmented theoretical views from psychology sociology and labour economics by implementing a life course approach creating a more comprehensive nuanced and interdisciplinary understanding about the implications of student employment for students lives to do so it uses multichannel sequence analysis and mixture hidden markov modelling to jointly analyse educational and labour market trajectories based on highquality longitudinal data from four carefully selected european countries belonging to three different welfare states liberal uk conservative the netherlands germany and social democrat finland it emphasises gender and social origin differences in patterns and implications of student employment as well as differences across students fields of study and national contexts the project includes an ambitious dissemination and communication plan targeting academic scholars policy makers managers of european higher education and higher education students as such the grow project aims at strengthening the social dimension of the european higher education area and contributes to the un sustainable development goals 4 quality education and 10 reduce inequality
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isolation of bacteria and extracellular vesicles from body fluids for improved diagnostics
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this project aims to deliver a microfluidic platform capable of isolating bacteria and extracellular vesicles evs at high throughput and high recovery rates from clinical samples and perform the necessary downstream analysis for the diagnosis of diseases requiring earlierurgent treatment currently long incubation steps required for identification and susceptibility testing of pathogens make clinicians to prescribe broadspectrum antibiotic treatments in sepsis cases upon hospital admission and in nearly half of cases this treatment fails on a different timescale the lack of symptoms until late stages of some cancer types such as pancreatic cancer means a high mortality rate profiling molecules contained in evs most importantly dna rna proteins and lipids promises a powerful diagnostic tool as biomarkers for cancer but current ev isolation methods relying on ultracentrifugation are lengthy and can potentially damage the information enclosed microfluidics could provide a high yield high throughput solution for isolation and enrichment of such particles however current approaches do not meet requirements of throughput andor detection limit and lack insightful physical understanding i propose to use novel fluid dynamic and electrokinetic models for particle manipulation in microfluidics with stateoftheart fabrication methods to deliver a device capable of rapidly isolating and enriching samples containing a bacteria at low concentration few hundreds per ml to be integrated in a platform with the potential to identify and perform asts in possible bacterial infections in body fluids that avoid culture steps in current gold standards and potentially allow a tenfold time reduction from sample to answer b evs to replace current ultracentrifugation methods thus a future clinical implementation of the project outcomes will have large economic and societal impact
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strengthening regulatory capacities for clinical trials oversight in southern africa southsouth and southnorth collaboration initiative for regulatory bodies
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the southern africa regulatory for clinical research search is a consortium established in 2020 under the second program of the edctp designed to develop and promote a framework for collaboration harmonization process and support regulatory capacity and develop technical expertise in southern african countries to support the conduct of clinical trials ct it is composed of four institutions from southern africa and one european in this proposal search ii eight institutions come together to strengthen and increase the capacities for the clinical trials review process in southern africa built from the search i project including the issuance of relevant permits ct oversight and clinical research pharmacovigilance and posttrial market authorisation by nras however insufficient access to quality safe efficacious and affordable medical products in southern africa has imposed significant challenges on public health for decades this in part is attributed to weakness or absence of technical expertise lack of policies guidelines and regulatory systems a lack of competent regulatory professionals in the national medicines regulatory authority nmras and ineffective regional collaborations among the nras and necs in response to these regulatory challenges the search i project initiated a process of regional harmonisation efforts and conducted swot analysis among the southern african members and developed a comprehensive common plan for continuous improvement and overcoming gaps at the beneficiary country level and effective harmonization of regulatory and ethical review processes the search ii project aims to support the national regulatory capacity system develop technical expertise and continue promoting the southsouth and northsouth collaboration built from the search i project while also enhancing and advocating the establishment and structuring of nras and necs in botswana eswatini lesotho mozambique namibia and zambia
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rhemediation responsive hub for long term governance to destress the mediterranean sea from chemical pollution
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the rhemediation lighthouse aims at establishing a responsive hub deploying longterm governance centred on the mission to destress the mediterranean sea from chemical pollution including peak concentrations in known hot spots in particular the most impacting components that currently affect mediterranean resources and threaten its survival in the short term if no action is taken like heavy metals pesticides and pfas forever chemicals should be stopped and removed from the fresh and waste waters before they enter the sea the rhemediation hub governance at the base of this transformation will a deploy chemical pollution remediation technologies based on microalgae solutions to enhance relevant trl when integrated in existing water wastewater treatment systems practises and assessed in their benefits with the involvement of the local communities
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geneedited t cells combating iga nephropathy a blueprint approach for safe efficient genome editing of t cells to sustainably combat several immune diseases and cancers related to bcell pathology
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there is an increasing prevalence of chronic diseases caused by undesired immune reactions 10 with high burden for the both patients chronicity organ failure early death decreased qol and society eu100 bn a direct health costs as current therapies are limited in efficacy and do not reshape sustainably the disturbed immune balance our ultimative goal is to develop a safe and efficient cell therapy based on genomeedited t cells with redirected specificity to sustainably combat iga nephropathy igan the most common glomerulonephritis and one of the most common causes of endstage renal disease with unmet medical need our specific cell therapy approach is also suitable for other diseases with selective bcell pathogenesis such as iga myeloma iga related celiac disease and rheumatoid arthritis but as a blueprint also for diseases of other ig classes eg igg4 our novel concept offers a specific form of immunosuppression via igsubclass targeting glycosylation targeting with redirected t cells in autoimmune diseases methodically we benchmark three promising genome editing technologies develop new standards for safety assessment and preclinical performance evaluation at the end we will have a lead candidate of a new living drug product envisioned as a onetime treatment for igan and other igaassociated that will be ready to enter clinical fih trials entry into trl6 in addition genetiga delivers enabling technology toolboxes with exploitation options beyond of the core project they might derisk and accelerate the development of nextgeneration gene and cell products in general the project has thus besides its scientific value a high impact not only on the affected patients with igan and related immune diseases but also for the european society by reducing the health economic burden caused by progressive chronic kidney disease as well as by triggering innovation and business options in europes biotech and pharma field
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spectrally stable and highperformance perovskite pure blue lightemitting diodes
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in this project we aim to develop metal halide perovskitesbased spectrally stable highperformance pure blue lightemitting diodes leds this research objective is crucial for the development of perovskitebased solutionprocessed costeffective nextgeneration solidstate lighting and display technologies despite achieving perovskite green and red leds with eqes 25 and luminance l 100000 cdm2 the soughtafter perovskite pure blue leds 455 nm peak emission 470 nm have been lagging far behind in their performance with max eqes 8 and l 1000 cdm2 and typically suffer from severe spectral instability due to ion migration and phase segregation these inefficient perovskite pure blue leds hold back the perovskites integration into nextgeneration solidstate lightingdisplay technologies here i will design spectrally stable and efficient mixed clbr halide quasi2d perovskite q2dpe pure blue emitters through compositional engineering in particular by using chlorinated bulky organic cations bocs and introducing a small fraction of large size asite cations the resultant q2dpe will comprise of clrich surface with homogeneous halide distribution and localized lattice distortions within the unit cell and are speculated to possess elevated ion migration activation energies which will suppress ion migration and phase segregation thereby ensuring spectral stability further i will design and fabricate leds with interface engineering and study led test device structures htlonly and etlonly devices to find out suitable pairs of htletls to achieve efficient and balanced charge carrier injection eventually resulting in spectrally stable highperformance pure blue leds the project outcomes will be spectrally stable efficient q2dpe pure blue emitters and highperformance pure blue leds with eqe 15 luminance 50000 cdm2 and lifetime 500 h at 500 cdm2 which largely exceeds the current stateoftheart
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leverage synergy by cyberphysical systems for the convergence of the eco systems mobility infrastructure and energy in the circular economy for the society 50
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cynergy4mie is a visionary project poised to revolutionize europes industrial landscape by bridging the gap between foundational technology layers crosssectional technologies and key application areas the project addresses the pressing need for efficient resource utilization and synergy creation across ecosystems by actively managing requirements from various key application areas cynergy4mie aims to steer developments in foundational technology layers and crosssectional technologies enabling unparalleled collaboration and resource optimization this approach promises faster timetomarket efficient resource utilization and enhanced technological exchange between key application areas cynergy4mies strategy aligns with the eus agenda and emphasizes urgency resilience technological partnerships and crossdomain integration to champion european competitiveness the projects longterm impact rests on embracing urgency fostering competitive resilience strengthening technological partnerships harnessing ecosystem synergies promoting crossdomain integration advancing ai competence prioritizing sustainability enhancing productivity and ensuring usercentric digitalization while forming strategic alliances cynergy4mie envisions a future where emergent cyberphysical systems serve humancentric needs drive domain convergence and secure europes position as a global technology leader
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nanostructure formation during food protein digestion and influence on intestinal transport
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the global food system is currently facing great challenges which are mainly motivated by environmental and healthrelated concerns i the existing food resources are not efficiently utilized while some of them are overexploited causing watersoil shortage biodiversity losses etc others are not properly valorized eg seaweeds ii moreover the unhealthy dietary habits of modern societies are leading to a dramatic increase in the incidence of dietrelated chronic diseases eg obesity diabetes etc in this context the food industry is actively looking for novel food sources with added health benefits however to design strategies for a sustainable production of nutritious food products from alternative sources and to predict their potential metabolic responses eg satiety allergenicity etc it is essential to understand how food structure digestibility and bioavailability are correlatedprodigest seeks to investigate this topic from a novel perspective focusing on the mechanistic and structural aspects of the gastrointestinal digestion of food proteins and studying their implications on bioavailability the type of structures formed by the assembly of the digestion products through intermolecular associations or by interactions with physiological medium components as well as the effect of dietary fibres which are abundant in alternative protein sources will be studied and linked to their intestinal transport and susceptibility to trigger metabolic responses to address this challenge a set of advanced structural characterization tools including xray and neutron scattering techniques peptidomic analyses and rheology as well as intestinal transport studies will be combined through a multidisciplinary approach interconnecting structural characterization food science and biotechnology the project outcomes will find potential applications to diverse research areas such as nutrition food technology pharmacology and medicine
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endpd slowing down parkinsons disease pathological progression
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patients and society expect that technical and scientific advances can provide novel improved answers to address unmet medical needs parkinsons disease pd is the 2nd most prevalent neurodegenerative disorder in the world with profound economic and social impacts the absence of preventive therapies to tackle pd requires the development of new therapeutic strategies for pharma companies aiming to develop molecules for parkinson disease pd and other neurologic disorders fastprinciple is developing a new drug candidate to be used as a future therapy to slowdown pd progression unlike alternative solutions such as the ones commercialized by bial acadia pharmaceuticals abbvie lilly and others which target the symptoms we expect to slow down the disease progression increasing current therapies effectiveness overtime pd affects more than 10 million people globally and has an enormous social and economic burden current treatments manage the symptoms of the disease but do not offer the patients the possibility of a cure unfortunately as the disease progress to higher debilitating stage the patient stops responding to the current symptomatic therapies ending without therapeutic options we have identified a molecule that with the companys patented reformulation technology will improve the drug efficacy and slowdown the disease progression of the disease the current proposal aims to establish fastprinciples strategic monetization plan by securing ip strategy and to ameliorate our business and exploitation plan
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golexic transforming intervention for dyslexic children
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golexic is an app that helps children with dyslexia and reading challenges improve their reading and writing skills thanks to an innovative accessible effective and affordable solution it leverages a structured teaching approach developed for dyslexic learners and uses speech recognition to drive reading practice and assess childrens skills and challenges this in turn drives the personalisation of the programme for each child this combination of speech recognition and personalisation is a differentiator for golexic compared to other digital learning programmes for children with dyslexia the goal is to scale personalised reading intervention so that parents and teachers have easy access to a robust tool that helps children improve their literacy skills
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adaptable technological solutions based on early design actions for the construction and renovation of energy positive homes
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the legofit project aims to design implement and validate an advanced and dynamic integrative approach to accomplish eph based on smart and innovative solutions with a high scalability and replicability for building construction and renovation through i developing an innovative holistic design platform that encompass not only passive and active technologies but also their integration for smartest exchange of information and interoperability of systems based on building information modelling bim available for both professionals and endusers ii integrating active and passive strategies eg envelope hvac systems integrated solutions including nature based solutions etc with smart management technologies bas bms for climate neutral and high energy building performance providing maximum flexibility to users iii investigating innovative routes for promoting minimum environmental impacts by the smart use of solid and liquid residues generated during building life cycle stages and iv fostering sustainable stock of buildings by guaranteeing not only the fulfilment of sustainable criteria economic social environmental but also according to the enhancement of smart readiness of buildings this innovative and integrated approach is demonstrated in 3 demos across a range of geographical cultural and construction stagestechnological market maturity scenarios the building typology focus is the residential sector multifamily houses and dormitories including both new and existing constructions the involvement of professionals in the sector is ensured through the development of a community of stakeholders and an open innovation community for building energy system bes professionals training courses focused on the new positive energy house approaches will ensure a new generation of multidisciplinary team of experts on the topic
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guiding electron transfer at the microbeelectrode interface the role of mtrcab
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rising population and living standards have caused pollution water scarcity and resource shortages to mitigate these issues and adopt sustainable development methods we need innovative environmental technology bioelectrochemical systems bes are a rapidly growing and versatile technology that exploits the ability of electroactive microbes to conduct electron transfer between electrodes to oxidise or reduce substrates such as organics present in wastewater opening up a wide range of applications for wastewater treatment nutrient recovery and bioenergy production the rate at which electron transfer occurs is the key process behind the development of bes and is one of the defining factors of the implementation of bes on a large scale recent research has revealed that the porincytochrome complex mtrcab which is responsible for electron transport across the outer membrane is found in a wide variety of microbes including several electroactive bacteria that participate in bes demonstrating the potential significance of mtrcab for extracellular electron transfer mtroute is aimed to provide information on the performance of mtrcab from diverse bacteria in electron transfer as well as identify the molecular mechanisms and factors that can enhance electron transfer rates synthetic biology tools will be used to incorporate these insights to the extensively studied electroactive microbe shewanella oneidensis mr1 to push forward the practical implementation of bes towards this aim mtroute will rely on a multidisciplinary research project that will based on the ers expertise in bioreactor application the host team expertise on evaluating electron transfer processes of multiheme cytochromes and on the secondments supervisor expertise in genetically modify electroactive microbes the success of mtroute will contribute to tackle several un sustainable goals and build a biobased economy one of the strategic priorities set by the new europe 2030 program
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agile ultrascale communications using optical arbitrary waveform generation and measurement
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teragear aims at exploring and verifying the innovation potential of a novel class of optical signalprocessing systems that might be of transformative impact to optical communications on a technical level the project builds upon novel schemes for optical arbitrary waveform generation and measurement oawgoawm that combine advanced photonic integrated circuits pic with chipscale frequency comb sources and that can address two key challenges of optical communications the testing and characterization of highspeed transceivers with symbol rates approaching or even exceeding 200 gbd and the agile assignment of physicallayer resources in softwaredefined optical networks teragear will focus on analyzing the innovation potential of the envisaged schemes building upon a unique and highly distinct value proposition with clear advantages over competing solutions aiming at a startup company we will pursue a twostep strategy exploiting the strong complementarity of the addressed challenges on the market side while test and measurement equipment is a performancedriven highmargin market that is well suited as an entry point for novel technologies with disruptive performance advantages optical transceivers and communication networks offer high volumes that allow to scale the business once the technology base has been established beyond the direct technoeconomic impact the teragear concepts might be key to sustain the evolution of powerful communication infrastructures that build the foundation of modern societywhile the technological foundations have been established in the framework of the erc consolidator grant terashape the focus of teragear will be on exploring the associated application and market potential on developing concepts for viable products and on formulating a business plan and an implementation strategy the project will rely on close interaction with industrial lead customers mediated by an external industry expert
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developing multicore siliconbased quantum processors
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silicon technology was the key to transforming classical computing into a massive industry could it play a similar role in quantum computing silicon qubits have several attractive features and can rely on a mature industry that has already mastered the intricacies of scaling however while scientific advances in silicon qubit technology have been encouraging progress has been modest on the commercial front this is the consequence of a rift between the techniques of the semiconductor industry and the requirements of quantum computers at siquance we close this gap thanks to a groundbreaking semiconductor approach fully depleted silicon on insulator fdsoi technology fdsoi technology enables the fabrication of highquality qubits in a scalable and reproducible manner now we advance these developments to the market this project aims at delivering an fdsoibased quantum processor demonstrator with a novel 4x4 multicore architecture
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integrative breeding strategies for the transition of european aquaculture towards sustainable organic production euaquaorg
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euaquaorg is aimed at boosting organic fish production in europe by developing highly innovative solutions to fill key knowledge gaps and overcome the most relevant factors limiting the competitiveness for organic farming of atlantic salmon european sea bass gilthead sea bream and rainbow trout key technological advancements in phenotyping genotyping and genomic prediction methods will be developed by euaquaorg through the integration of different disciplines and approaches this will provide essential tools for costeffective welfare and environmentfriendly organic aquaculture the implementation of these tools at the industry level will be ensured by a comprehensive scientific public and industrial communication and dissemination programme with exploitation of the project objectives and key results to create impact including a multimodule openaccess online training course that will be codeveloped with key stakeholders breeding companies fish farmers feed producers in parallel a tailored set of intervention strategies will be designed to promote awareness and acceptance of oa products in european consumers through a behavioural economics approach the project will build upon outputs of completed and ongoing national and eu projects fully exploiting existing knowledge and leveraging the direct involvement of euaquaorg partners in multidisciplinary research on advanced fish genomics fish nutrition fish health and welfare consumer studies
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integrated passengercentric planning of multimodal transport networks
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the vision of multimodx is that of a multimodal european transport system in which air and rail networks are planned and managed in a coordinated manner to maximise the efficiency predictability environmental sustainability and resilience of the doortodoor passenger journey the goal of multimodx is to develop a set of innovative multimodal solutions and decision support tools for the coordinated planning and management of multimodal transport networks multimodx develops a multimodal modelling and evaluation framework including a set of key performance areas and indicators that enable a comprehensive characterisation of the impact of multimodal transport sytems and multimodal solutions for a range of stakeholders it will improve existing indicators and metrics and complements current frameworks by more meaningful passengercentric metrics for better measures of significant disruption eg longer delays missed connections denied boarding cancellations this multimodx performance assessment solution will support the design implementation and evaluation of these and other multimodal solutions by enabling exante assessment and expost monitoring of their impact on a comprehensive set of kpis a schedule design solution will enable the coordinated design of air and rail schedules according to expected demand behaviour the disruption management solution will support decisionmakers response to disruptive events in real time in order to minimise the impact on the passengers profiting from the extension of the acdm concept to other transport modes in order to nurture the conditions for the transfer of the multimodx solutions to the subsequent stages of the ri cycle stakeholders are engaged throughout the full project lifecycle for validation and discussion purposes as well as disseminating the project outcomes to potential adopters and ensuring that the components developed contain a clear definition of integration and datasets requirements
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knowledge creation and increasing acreage of legumes in diversified cropping systems by quantification of their ecosystem services
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the objective of legendary is to remove the barriers that hamper a significant and stable increase of the growing area of legumes in europe legendary has the ambition to develop tools and methods going considerably beyond the stateoftheart to quantify ecosystem services ess of perennial and of annual legumes in different agroclimatic zones based on cocreation legendary aligns its research strategy with the actual needs field experiments will be monitored by a combination of traditional observation methods and advanced sensing technologies whose sensor reads are translated to es trait values by means of dedicated statistical and machine learning models these data will be fortified with results from pastongoing projects valuation of the provisioning ess will mainly be based on historical data as the focus is to develop toolsmethods for the valuation of the regulating services as well as for the valuation of culturalsocial services including recreation education and aesthetic values these toolsmethods will provide readytouse indicators to better equip farmersadvisors to evaluate and appreciate the benefits of legumes including enhanced fertilising regimes management of noxious organisms as well as recommendations to strengthen crop diversification and longer rotation cycles with crops beneficial for the environment the farmer and the consumer a userfriendly collaborative multicriteria decision support system will be developed to assist farmers in the choice of legume species and cropping systems suitable for their farm legendarys results will contribute to develop guidelines for sciencepolicies bodies consequently the results and implementation actions provided will ultimately contribute to achieve five of the 17 uns sustainable development goals and to accelerate the transition required by the european green deal legendarys legumes have the ability to promote soil health and will thus contribute to the soil deal for europe
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vessel noise effects on baleen whale bioenergetics
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baleen whales are mega predators that shape the ecosystem structure and maintain healthy marine environments a decrease in their populations can therefore have cascading trophic impacts detrimental to marine ecosystems they inhabit the marine soundscape has dramatically changed since the industrial revolution with increasing traffic ship noise has become the most ubiquitous and pervasive source of anthropogenic noise in the ocean baleen whales rely heavily on acoustic cues for interpreting and exploring the marine environment however they hear best and produce sound at the same frequencies where cargo ships make the most noise which makes them potentially the most sensitive species to vessel noise disturbance numerous studies have documented shortterm adverse effects on baleen whales exposed to vessel noise including changes in behaviour and decreases andor cessations in foraging however there is a lack quantitative data on i the specific noise levels that trigger changes in behaviour and ii how these noiseinduced behavioural changes impact the fitness of the exposed individuals through vessel i propose to fill these important knowledge gaps by applying an innovative combination of stateoftheart tagging technology and noise analysis to for the first time in baleen whales i quantify received noise levels on the animal and ii estimate a doseresponse relationship between vessel noise levels and the energy budget of the exposed individuals the outcomes of vessel will be crucial to parameterize populationconsequence of disturbance pcod models that link disturbance parameters to fitness and population dynamics importantly vessel will be of direct relevance to the management of underwater noise levels in eu marine waters by providing evidentbased estimates of critical noise thresholds for the fitness of baleen whales that will set thresholds for good environmental status ges
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biases in prospective learning and dynamic choice
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many important economic decisions are made after individuals have had opportunities to acquire information for example investors can do research about the fundamentals of companies to estimate their future stock prices consumers can read reviews before making purchase decisions managers can experiment with different organizational structures before settling on one as information acquisition is costly decisionmakers must evaluate its benefit ex ante by engaging in prospective learning that is by trying to predict the amount of information they will receiveprospect aims to investigate experimentally whether individuals are able to correctly assess the benefits of future information acquisition and to use this information proactively when making dynamic choices the main objective is to uncover some potential fundamental biases in dynamic decisionmaking such as a tendency to acquire too little information and to underexperiment relative to the rational benchmark in part 1 i aim to identify biases in prospective learning the key question is whether individuals are able to correctly forecast the amount of information that a given reallife event reveals part 1a will study finance professionals ability to prospectively learn from market prices and part 1b will investigate whether the general population is able to extract information from past economic events to better predict future economic eventspart 2 studies how individuals take prospective considerations into account when solving dynamic decision problems in parts 2a and 2b i will characterize whether they experiment as much as economic models predict they should and study two candidate microfoundations for insufficient experimentation part 2c revisits an old idea in behavioral economics according to which prospective thinking is key to achieving selfcontrol
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causes and consequences of labor market flexibility
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globalization and technological change have transformed the workplace and the organization of labor at the core of these major developments is the degree of flexibility in the labor market alternative work arrangements eg outsourcing subcontracting flexible scheduling and flexible pay jobs have become a common feature of labor markets across the globe while most economists would argue that labor market flexibility facilitates reaping the benefits of globalization and technology growth these developments can have far reaching consequences for the division of resources in society indeed the recent decades have witnessed a sharp rise in wage inequality labflex is motivated by these developments and seeks to investigate the causes and consequences of labor market flexibilitylabflex raises a series of questions do differences in job contracts reflect shifts in worker preferences or do they mirror advances in technology that facilitate gains from organizing job tasks differently what are the impacts of flexibility in job contracts on wage inequality and gender wage gaps are workers being compensated for the adverse work conditions or the higher income risks or do changes in job contracts reflect changes in the sharing of rents between workers and firms how do labor market institutions affect flexibility and what is the role of labor market policiesto answer these questions labflex will for the firsttime link register data to largescale experimental evidence on workers stated preferences for a wide array of work and pay arrangements and an exhaustive fulltext corpus of vacancies with information on job attributes this will allow drawing a very detailed picture of both the supply and the demand side of the labor market facilitating a study of flexibility in job contracts combining these data with experimental and structural methods labflex will provide new evidence on the causes and consequences of labor market flexibility
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trials supported by smart networks beyond 5g
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trialsnet will deploy full largescale trials to implement a heterogenous and comprehensive set of innovative 6g applications based on various technologies such as cobots metaverse massive twinning internet of senses and covering three relevant domains of the urban ecosystems in europe identified by i infrastructure transportation security safety ii ehealth emergency and iii culture tourism entertainment there will be 13 representative use cases developed over wide coverage areas with the involvement of extended sets of real users in 4 geographical clusters in italy spain greece and romania the use cases will be transversal each single use case will be potentially implementable over different clusters thus allowing for a holistic evaluation of the network kpis targeting to improve the liveability of the urban environment in the different domains trialsnet will also pursue the objective to i understand where current networks are not sufficient to assure the performance needed by the use cases and to ii derive the new requirements for next generation mobile networks to achieve this trialsnet will design and deploy platforms and network solutions with advanced functionalities based on dynamic slicing management e2e orchestration nfv mec and aiml methods to be trialled on 3gpp and oran network architectures design objectives of sustainability and affordability of the deployed systems will be also treated with the highest priority finally trialsnet will also develop appropriate technical assessment frameworks mapping quantitative and qualitative measures and visualizing the dynamics of the use cases for society acceptance proper kvis will be monitored proved and refined to provide a sociotechnical vision towards early adoption of 6g solutions
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residential mobility and the realignment of electoral politics in established democracies
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polarization over cultural issues and the rise of the populist radical right indicate a fundamental realignment of electoral politics in established democracies around a new political cleavage characterized by an antagonism between parochial and cosmopolitan values respol introduces residential mobility as a fundamental determinant of these developments in advancing a novel research agenda on residential mobility the project also integrates and provides new perspectives on existing researchresidential mobility exceeds the volume of international migration on which much research on the rise of the radical right focuses by a factor of three although its significance is recognized in demography and psychology residential mobility has yet to be widely recognized in political science psychological research considers residential mobility an essential driver of cultural change and has shown how mobile communities foster individualism and tolerance through frequent interactions with strangers in contrast immobile communities promote stability and stronger social ties but intensify perceptions of ingroup and outgroup differences the relevance of these observations has been highlighted in the wake of brexit framed by some as a confrontation between rooted somewheres and mobile anywheres but the political impact of residential mobility lacks systematic studydrawing on research in psychology and social capital theory the project will develop a comprehensive theoretical account of how residential mobility affects political attitudes and behavior to explain electoral realignment in established democracies the project will use innovative combinations of cross and subnational data on residential mobility and political outcomes to systematically test its theoretical propositions at the individual and aggregate levels in doing so respol promises to significantly advance our understanding of the evolution of political conflict in electoral democracieswe postpone the start of the project until after 30 september 2025 in this case there would be no ambiguity about my engagement by chemnitz university of technology regarding the groundbreaking nature of the project as outlined in my proposal to date there are only three journal publications in demographygeography and one journalistic book on the potential influence of residential mobility on political opinions or voting choices none of which are able to provide the causal evidence that my project aims to provide i am not aware of any new publications that have come out since i submitted my proposal as outlined in my proposal i am only aware of two unpublished working papers on the political effects of residential mobility one of which i coauthored the author of the other working paper seems to be more interested in the effects of residential mobility on civic and political engagement than on political attitudes and voting or electoral realignment more broadly as for the specifics of my research proposal nothing in the research design requires that the project begin at any particular point in time the proposal calls for unique survey work to be conducted in germany sweden and the united states given the 5year duration of the project and the maximum 4year term lengths for national legislatures andor executive branches in germany sweden and the us i am guaranteed to be able to cover at least one national election per country case study with a unique survey regardless of the start date of the project in summary i am optimistic that a later start date would not negatively impact the groundbreaking nature of the project
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magnetic memory supraparticles for perceptual matter
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so far materials are seen as passive items this project aims at providing a solution that can turn objects into matter that can perceive and communicate trigger events if materials are turned capable of reporting their encountered history this will significantly contribute to i ensuring product safety and reliability ii making predictive maintenance possible iii making complex recycling fates of materials transparent and iv enabling autonomous robotcontrolled resilient manufacturing industry 40the key to realize this vision is to make use of smart magnetic particles largely based on iron oxide smartrust to achieve smartrust micronsized 110 m supraparticles are composed of magnetic nano building blocks the signal transducers which are combined with other nonmagnetic moieties the sensitizers a toolboxlike approach using spraydrying allows for nanoparticle assembly of a transducer and a sensitizer type of choice to specifically target a desired type of stimulus the smartrust particles are then integrated in materials matrices it is hypothesized and yet an open research question that there is an interplay of two magnetic interaction principles on a hierarchical level i a trigger event will alter the intrasupraparticle magnetic interactions of the nanoparticles within individual supraparticles on a hierarchical level ii a trigger event will alter the intersupraparticle magnetic interactions among the supraparticles when the matrix of the materials where the supraparticles are embedded in is altered the scientific idea is that this magnetic interaction information can be read out fast easily in a nondestructive way and from within a material enabled by the technique magnetic particle spectroscopy mps if this endeavour is successful in obtaining a meaningful signalstructuretrigger correlation ultimately design rules could be deduced how to create conscious matter using smartrust
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verified and passportable financial identity
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mifundo o an estonian fintech founded in 2018 is developing the first crossborder ai and data platform we provide a technologylayer to passport credit histories across borders through one single api todays bank lending is countrybased and there is no solution available across the eu making crossborder borrowing almost impossible no single party bank or credit bureau is interested in solving a problem that requires such a high investment mifundo is removing the barriers between people and banks in the eu that eliminate over 45 million people from having access to financial services due to highly fragmented nature of datadespite being new to the market mifundo has achieved success becoming a member of accis worlds largest credit reference agency and financeestonia financial sector representative organisation supporting the estonian economy mifundo enables financially excluded european expats to access capital by passporting credit histories across borders reducing loan disparities and discrimination by nationality and improving financial literacy additionally banks do not need to perform credit analysis as mifundo provides it and ensures local compliance by leveraging diverse data sources and generating new data points the platform enhances the credit score models accuracythe main objectives of the eic accelerator project are data collection and standardisation credit risk score development regulatory compliance and developing ai engine for credit risk assessment this funding accelerates platform development enhances risk assessments with cuttingedge technologies establishes partnerships ensures compliance and expands the user base mifundo aims to become the leading crossborder credit service provider in the eu
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sustainability and health as drivers of the rational design of fermentation processes a novel prototype of nonalcoholic beer
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beer is the worlds most consumed alcoholic drink but its alcohol content has a negative impact on health the consumption of nonalcoholic beer nab has rocketed recently driven by changes in manufacturing processes and a more healthconscious consumer base in europe the market size is estimated in 22 billion 2022 despite its potential for diet improvement the impact of nab on health has been barely investigated moreover this expanded market is not reusing its byproducts properly and generates considerable waste the aim of this project is to address this lack of information by elucidating the contribution of nab to health and by implementing waste valorisation practices to generate products with added value for the circular economy by applying the latest methods in metagenomics synthetic microbial ecology approaches and metabolism modelling shenab will provide a proofofconcept for the rational design of a novel nab prototype helping to deliver on eu health and sustainability priorities and to educate in the context of public health after the generation of valorised waste products we will harness the microbial potential of selected newly characterised strains with key functionalities ie synthesis of bioactive molecules to develop synthetic communities sc for the fermentation of nab at small and pilot scale by metagenomics and metabolomic data obtained during fermentation ecological networks will be constructed to disentangle the contribution of each taxa to the traits of the final product and allowing a rational design of the sc to control fermentation processes the final products will be assessed for health benefits using ex vivo gut models and cell assays an effective twoway transfer of knowledge with industry will be achieved particularly during a nonacademic placement period applying the sc developments at pilot scale and using valorised waste products for the production of healthy nab in a commercial brewery environment
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unjust enrichment and public policy
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the basic maxim of the law of unjust enrichment states that a person should not be unjustly enriched at anothers expense this broad principle is currently primarily used to solve local problems and disputes between specific individuals through private litigation the proposed project offers a paradigm shift and the use of the fundamental principle prohibiting unjust enrichment to solve broad societal issues both as a private and a public law doctrine this is a double paradigm shift from the direction of the law of unjust enrichment it requires a reconceptualization of this area of law to adjust it to solve entirely new types of problems from the direction of public law it offers to refresh the way we currently look at deep societal ills such as global warming the spread of fake news or the production of harmful goods and services in all these contexts and many others current legal frameworks tend to focus on the harmfulness of certain activities the proposed framework offers instead to start the analysis with undeserved and illobtained gains phenomena like global warming and fake news are problematic because they are harmful but persistent and so difficult to regulate because they are immensely beneficial to strong interest groups a regulatory perspective focusing on gains can therefore prove instrumental in fighting some of the most important legal battles of our time this paradigm shift involves a broad project and requires a multistage research program conducted by the pi together with a team of postdoctoral researchers this is a highrisk high reward project if successful it can provide critically missing elements in the legal toolkit that will improve our ability to solve pressing legal issues
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european flexible heat shields advanced tps design and tests for future inorbit demonstration 2
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efesto2 is the natural followon of the project efesto h2020 grant 821801 and it aims at increasing the european knowhow and technology capabilities in the field of inflatable heat shields ihs it will lean on the great achievements obtained in the frame of the father project efesto by implementing the needed forward advance to improve the current trl for future reentry missionsthe project pillars will beto consolidate the usecase applicability through a deep business case analysis for a meaningful space applicationto extend the investigation spectrum of the father project efesto to other critical aspects of the ihs fieldto increase the confidencelevel and robustness of toolsmodels and knowhow developed in the frame of the father project efestoto ensure continuity in presiding the ihs field in europe among the scientific and industrial communitythe inflatable heat shields can be considered as a fundamental mean to both decelerate and protect the space system during reentry thus providing key contribution to the functions of reentry and descent therefore efesto2 will satisfactorily fulfil the objectives of the he call horizoncl42021space0123 contributing to the part of the scope strictly related with entrydescent systems and solutionsin particular efesto2 will contribute toexpansion of commercial space transportation offer and services because maturation of inflatable heat shields will allow their applicability to recovery and reuse of launchers stagesexecution of design and performance studies as well as business cases analysis with adhoc work packagesmaturation of relevant technologies up to trl 56 through a ground test campaignmatching the eu green deal objective because maturation of inflatable heat shields technology can replace propulsion devices in endoflife disposaldeorbiting of space systems hence reducing environmental impact of space debris as well as of chemical propulsion
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advanced energy performance assessment towards smart living in building and district level
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smartlivingepc project aims to deliver a certificate which will be issued with the use of digitized tools and retrieve the necessary assessment information for the building shell and building systems from bim literacy including enriched energy and sustainability related information for the as designed and the actual performance of the building smartlivingepc will provide information in relation to the operational behaviour of the building by introducing a new rating scale based on a weighted approach of life cycle performance aspects building smartness assessment and information on the actual performance of the technical systems of buildings provided by technical audits the new methodologies to be developed will be based on existing european standards whereas at the same time they will trigger the development of new technical standards for smart energy performance certificates the new certification scheme will also expand its scope covering aspects related to water consumption as well as noise pollution and acoustics smartlivingepc certificate will be fully compatible with digital logbooks as well as with building renovation passports in order to allow the integration of the building energy performance information in digital databases a special aspect of smartlivingepc will be its application in building complexes with the aim of energy certification at the neighbourhood scale smartlivingepc aspires to develop two parallel schemes one at the building level building epc and one at the level of building complex level complex epc with the ultimate goal in the near future of certification of building complexes based on the certification of individual units as well as on additional aspects following an integrated participatory and neighborhood based approach 16 partners from 12 european countries will collaborate and provide their expertise and resources within the 36 months of smartlivingepc lifetime
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soft optoelectronics and ionbased circuits for diagnostics and closedloop neuromodulation of the auditory pathway
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understanding and modulating neural networks requires highresolution acquisition of neural activity over time realtime analysis and minimally invasive stimulation methods with high specificity such procedures are particularly needed for treatment of sensory disfunction eg hearing loss and certain neurological diseases eg epilepsy the lack of soft biocompatible hybrid and smart neural interfaces hinders our capacity to study complex neural dynamics and efficiently apply responsive neuromodulation therapy here the overall objective is to exploit novel ion gated transistors igts and organic light emitting diodes oleds to establish the first fully implantable biocompatible and soft responsive electrooptical neurostimulation system in an animal model i hypothesize that organic electronics can create all the required building blocks from an igtbased applicationspecific integrated circuit that will improve the efficiency of neural signal acquisition and permit local processing to oledbased optogenetics through a conformable selfcontained package such a system will increase signaltonoise ratio 25db resolution 1500 interfacescm2 and spatial specificity conformable oleds for optogenetics compared to existing stateoftheart neurostimulation devices such as cochlear implants to achieve that we will have to design smart fabrication routes that allow the development of both devices into a single frontend probe overcome stability issues and create efficient and fast igts for both frontend interfaces and circuits we will do that by tuning materials composition engineering improved designs and better understand the mechanisms of interaction with the physiological environment this research will enable a new generation of neural interfaces and a deeper understanding of auditory neural networks and the electrooptical stimulation effects upon them
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invessel implantable smart sensing device for personalised medicine
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the ivlab project aims at designing and manufacturing a miniaturized sensing device implantable in the blood vessel for monitoring the health status of patients the microsensorsystem would implement a bodyembedded system with multiple sensing capabilities targeting hemodynamic and biochemical parameters once implanted into blood vessels vein andor arterial blood vessels of vulnerable patients with cardiovascular diseases the final goal of the proposal aims at responding the main requests from the pathfinder heath work program that is to endow people with unperceivable sensors which will allow 1 the continuous longterm monitoring of the health status and 2 the diagnosis and personalized medical interventiononce in the vessel the sensor will be completely unobtrusive and capable of continuous monitoring the implanted system will be connected with and powered by external data collection and communication system coupled trough standardized wireless technology ie nfc or even simply by a smartphone in case of asynchronous ondemand monitoring the device will have miniaturized and shape size allowing the placemen inside veins and arteries without impairing the blood flow and will be provided with multiple different sensors able to work in a continuous or asynchronous way depending on the specific use cases this device will find important applications in the field of cardiovascular disease in particular in those patients in which the detection of hemodynamic behavior and specific biomarkers could reduce the rehospitalization and mortality ie heart failure moreover in perspective the system will make possible to monitor the development and outcome of different disease allowing a prompt and tailored treatment
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algebraic groups at the heart of postquantum cryptography
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contemporary publickey cryptography builds its foundations on a handful of computational problems rooted in arithmetic and geometry the vast majority of deployed cryptosystems rely on two classical problems computing discrete logarithms and factoring integers that would not resist a largescale quantum computer research on quantum technology is accelerating endangering the worlds information systems new foundations are being proposed by the cryptologic community promising postquantum security but suffering in many aspects from the lack of adequate scrutinyemerging postquantum candidates can be naturally embedded into rich and modern mathematical theories it is the case of latticebased and isogenybased cryptography which share surprising connections once recast in the world of algebraic groups algebraic groups are at the forefront of modern mathematics their study across the past century has blossomed with the development of powerful theories such as representation theory and automorphic forms yet the dialogue between arithmeticians and cryptologists has been sparse and the link between algebraic groups and the objects of postquantum cryptography has been mostly anecdotalthis project brings this connection to the forefront observing that the theory of algebraic groups shines a powerful light on problems raised by latticebased and isogenybased cryptography it has the unique ability to turn the set of all instances of a computational problem into one meaningful object in itself a moduli space with an arithmetic structure a geometry a topology a harmonic theory exposing these problems to the powerful artillery of modern arithmetic will lead to cryptanalytic breakthroughs security proofs and the construction of cuttingedge cryptosystems
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transformative pathways for synergising just biodiversity and climate actions
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the global biodiversity and climate crises cannot be solved in isolation or by merely ramping up what is already being done urgent and ambitious transformative changes are needed in our economies and societies through inclusive deliberation transpath identifies leverage points and interventions for triggering transformative changes at consumer producer and organisational levels it seeks wholeofsociety opportunities for achieving climateneutrality whilst simultaneously allowing local communities and nature to flourish transpath draws on diverse contexts in eastern and western europe africa and latin america to engage with those who affect and are affected by trade regimes and associated greening mechanisms through deliberation on alternative visions values actions and their systemic interactions across scales and over time transpath identifies leverage points that can trigger positive cascading biodiversity changes policy packages and other interventions are designed to enable the emergence of leverage points at different scales of action in ways that changes the choice architecture underlying daily decisions these interventions consider the synergies and tradeoffs of actions across multiple people and places and the role of incentives and political barriers to implementation transpath delivers a suite of transformative pathways with a toolbox of transformative interventions for triggering and enabling these pathways a transformative navigation toolkit guides practitioners on how to enable and navigate pathways acknowledging that arriving at what constitutes a transformative pathway is also a product of an iterative and adaptive process that emerges and evolves over time to implement these transpath develops a multiscalar network of activated agents of change who can foster inclusive and legitimate decisions and build capacity and willingness among their actor networks to collectively move forward on transformative pathways
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pushing the limits of detection in spintronic sensors into the femtotesla range
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novel and compaimplementation of solidstate magnetic field sensors with ultrahigh sensitivity and ultralow magneticfield detectivity is mandatory to accelerate the development of individualized and precision healthcare devices and promote the change to more energy efficient green technologies unlike other studies the project will provide major advances in the field of spintronic tunneling magnetoresistance tmr sensors by pushing their limit of detectivity to the femtotesla range without using external tools as magnetic flux concentrator which is an artificial technique to increase sensitivity regardless to the origin of limitation in tmr multilayer structure as noise sources for that femtosense is to pinpoint the origin and mechanisms that govern all noise contributions and their control ondemand using materials science and device engineering to do this i will develop highly 001textured spinel oxide mgal2o4 mao tunneling barriers enabling tunable lattice matching with wide range of ferromagnetic electrodes particularly cofeb to suppress the interfacial imperfection noise at the interface and improve tmr ratio i will also improve the quality of the ferromagnetic electrodes by development of functional sensing layers consisting of sandwichlike amorphous ferromagnet the ferromagnetic sandwich comprises thin layers of supersoft nife inserted between amorphous phase of cofebta ferromagnetic layers the former is to prevent propagation of 111texture of nife to mao barrier ensuring ordering interface with minimized electronic noises the latter is to tune the structural and magnetic characteristics of the sensing layers enabling high sensitivity and suppressing magnetic noise at the sensing layer finally i will establish a framework to map all sources of noise within each of the spintronic sensor building blocks and identify the method of treatment by theoretical modeling for demonstration of femtotesla tunneling magnetoresistnce sensors
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moral agency in election campaigns
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elect falls within the methodological framework of grounded normative theory it combines normative democratic theory with a mixedmethods and comparative research design to investigate the moral agency of key stakeholders involved in contemporary election campaigns candidates campaign professionals political journalists and citizens the moral agency of electoral stakeholders becomes a subject of concern when they are confronted with normatively charged situations involving motivations to behave in ways that undermine democratic norms or political trust the context in which electoral stakeholders exercise their moral agency has been changing presenting them with new normative challenges relating to their respective electoral conduct recent changes include the strategic and communicative possibilities provided by big data and new media and the evolving competitive landscape relating to the emergence of new electoral challengers existing research on the tensions between contemporary election campaigns and democracy and political trust has primarily taken campaign outputs as its objects of study far less studied are the moral dimensions of the inputs concerning the role that the attitudes beliefs and motivations of stakeholders play in influencing their conduct and how their moral decisionmaking is affected by institutions and regulations neglect of this input perspective leaves major knowledge gaps that limits our ability to accurately diagnose normative problems with campaigning and prescribe effective solutions elect will attempt to fill these gaps by exploring the moral agency of electoral stakeholders in four countries that have been subject to recent disruptions in the campaign context namely germany italy the uk and the us empirical data will be gathered using surveys elite interviews and citizen focus groups diagnostic and prescriptive analyses based on this data will employ state of the art methods in normative democratic theory
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machine learning for diagnosis of bipolar disorder detection of physiological digital biomarkers
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bipolar disorder bd is a chronic and debilitating mental disorder that affects 23 of the population it impacts quality of life cognition and is a leading cause of suicide and allcause mortalities most patients are taken into clinical care during acute episodes which puts the burden on psychiatrists to make fast yet accurate diagnostic decisions however unlike most medical conditions psychiatric diagnoses are subjective this paired with the complexity of its clinical presentation bd is the most misdiagnosed and underdiagnosed psychiatric condition more objective scales used in research lack clinical application due to time constraints and high burden on the patient aidiagnose wants to disrupt the state of the art of bd diagnosis through a completely novel approach developing an automatized and fast tool for objective detection of bd and psychotic symptoms based on physiological audiovisual biomarkers and machine learning ml the timing of the project is supported through recent evidence from the host the applicant and others showing that speech and eye movement are promising physiological biomarkers in a pilot study i found that ml algorithms based on speech patterns could predict the presence of psychiatric diagnosis and differentiate patients with and without psychosis eyetracking datasets provide insights regarding information processing patterns and have shown potential as diagnostic biomarkers although eye movement and speech patterns are promising biomarkers as they can be acquired fast and without putting high burden on the patient they have not been combined yet for psychiatric diagnostic purposes the project will be the first to develop such a multimodal ml diagnostic tool for bd and psychosis in bd we will test its accuracy against the research gold standard in the field within a large patient cohort 140 patients 70 controls if successful this will a major step towards precision medicine within bd and psychiatry
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cogo all ride in one app cogo gathers electric shared bikes scooters cars and mopeds from 250 mobility operators in more than 700 cities and is now ready to launch the fullservice platform
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bibi blomqvist cofounder and coo of cogo aps cogo is an app that gathers shared rides for frictionless mobility and a better tomorrow in cogo you can find more than 250 mobility operators of shared bikes scooters cars and mopeds and can be used in more than 700 cities worldwide i founded cogo back in march 2020 during the pandemic with two old colleagues from the management group of momondo later kayak part of booking holdings we founded cogo with a mission to move people away from short private car trips and on to shared mobility to help create more sustainable cities my driver for starting cogo is that traffic in our cities and the derived co2 emissions are one of the biggest challenges we need to solve in our lifetime the industry of shared mobility has come to a stage where the complexity and fragmentation is ready for an aggregator level to reach the full potential shared mobility can offer to create a successful aggregator that has the perfect combination of best user content product users love and the right business model is my niche expertise during this programme we launch and rollout cogo fullservice platform where users can start stop pay and manage all trips across multiple shared mobility operators within the cogo app cogo is currently prerevenue and will with the launch of the fullservice platform start to generate revenue this project will setup and execute on a clear strategic and technical rollout playbook from launch in our home market to rollout throughout europe we will setup and establish the technical platform to scale quickly yet controlled with cogo console for multipartner operational control including a wellthought through complex revenue management system and strategy to maximise shared mobility utilisation while building a solid revenue foundation the activities the women techeu programme will support outside fast forwarded product development and market expansion are business model validation
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preparing a precommercial procurement for enduser services based on environmental observation in the area of climate change adaptation and mitigation protect
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protect aims at levering innovation procurement to unlock the climate service cs markets potential to support urgent climate adaptation and mitigation the project will allow public and private organisations to build up and integrate their knowledge and skills about climate change environmental observation eo and innovation procurement notably enabling public authorities to shift to a proactive governance model using innovative public procurement approaches to increase value and climate impact for money it shall increase access of cs sme providers across europe to public procurement markets and shape solutions that best address public demand both specific and systemic the initial focus will be on five encompassing application domains utilities green cities health land use marine environment security and their contributions to the areas of sustainability in horizon europes cluster 6 the project will source and assess existing and highpotential cs solutions and technologies that use eo data it will engage with an extensive and varied community of procurers inform the definition and aggregation of their needs and functional requirements for cs explaining fostering and supporting a buying with impact approach clearer less fragmented demand shall guide and support rd for future cs protect will prepare the operational ground for one or more joint crossborder or coordinated precommercial procurement pcp processes and identify shortterm actions so that public procurement of innovative solutions ppi can be activated towards or right after the projects end at policy level it will provide decisionmakers for procurement climate and policy at eu national regional and local levels with practical recommendations and guidelines to boost the use of innovation procurement for climate action
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symbolic logic framework for situational awareness in mixed autonomy
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symaware addresses the fundamental need for a new conceptual framework for awareness in multiagent systems mass that is compatible with the internal models and specifications of robotic agents and that enables safe simultaneous operation of collaborating autonomous agents and humans the goal of symaware is to provide a comprehensive framework for situational awareness to support sustainable autonomy via agents that actively perceive risks and collaborate with other robots and humans to improve their awareness and understanding while fulfilling complex and dynamically changing tasksthe symaware framework will use compositional logic symbolic computations formal reasoning and uncertainty quantification to characterise and support situational awareness of mas in its various dimensions sustaining awareness by learning in social contexts quantifying risks based on limited knowledge and formulating riskaware negotiation of task distributions these objectives will be achieved in symaware through a logical characterisation of awareness using symbolic methods b quantifying the symbolic reasoning for awareness with spatial and temporal ingredients for decision making c risk awareness via quantified knowledge d quantifying and communicating knowledge awareness e demonstrating awareness engineering in aviation and automotive use cases and f identifying requirements for ethical and trustworthy awareness in humanagent interactionthe objectives of symaware address the awareness inside challenge of eic by extending and formalising humanbased models of situational awareness and by providing a novel conceptual situational awareness framework for mass that encompasses logical characterisation and integrative formal reasoning of interdependent awareness dimensions including knowledge spatiotemporal risk and social dimensions this will support transitioning to safe mixed operation of autonomous agents and humans
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the old the young and the uncertain future using highdimensional stochastic overlappinggenerations models to evaluate fiscal policies that shift risk and resources across generations
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policy decisions about government borrowing taxation and spending have a differential impact on generations and thus imply substantial intergenerational transfers the costs and benefits of these policies occur over decades and come with large uncertainty for instance related to productivity growth global financial conditions and demographic trends therefore fiscal policies whether intentional or not transfer risk and resources across generations assessing their impact on welfare calls for simulating such policies in models that include the relevant demographics and risks yet also the related riskpremia the latter lower government borrowing costs relative to the expected return on investments and are thus particularly important for the welfare implications of fiscal policy solg for policy aims to build stochastic overlappinggenerations solg models that integrate all these elements and are thus able to quantitatively assess the welfare implications of fiscal policy choices involving intergenerational redistribution and risksharing to solve these models despite their highdimensional nature solg for policy leverages recent advances in computational economics based on adaptive sparse grids asgs and develops three extensions of this approach first using shapepreserving asgs to facilitate value function iteration second merging asgs with endogenous grids to avoid computeintensive optimization steps third parameterizing intergenerational distributions to further alleviate the curse of dimensionality policy questions that will be addressed include should the debt accumulated in the covid crisis be paid down through taxation or do low real interest rates make it desirable to leave the debt and its uncertain burden for future taxpayers to deal with is it feasible and desirable to make the pension system provide less redistribution yet more insurance across generations and how can this be achieved
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unlocking cognition by pulsatile gnrh in alzheimers disease
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cognitive decline associated with alzheimer disease ad and other agerelated dementias affects 55 million people worldwide and is a growing problem in aging european societies however most drugs fail at clinical trial and approved treatments aimed at controlling or reversing pathological changes in the brain do not improve cognition in patients besides having significant side effects it is thus essential to design and test alternative approaches to enhance cognitive performance and reduce the personal familial and societal burden of ad there is abundant circumstantial evidence pointing to a correlation between cognitive decline or ad progression with the agedependent loss or deregulation of gonadotropinreleasing hormone gnrh a neuropeptide better known for its role in the reproductive axis nevertheless a link between the two processes has not been seriously considered in a recent groundbreaking study we have shown that adlike cognitive deficits in down syndrome stem from progressive gnrh loss and restoring native gnrh in a physiologically relevant pulsatile pattern using implantable pumps safely and effectively improves cognition long after the onset of symptoms together with augmented brain connectivity additionally we have shown that tanycytes specialized hypothalamic glial cells that control gnrh secretion are fragmented in ad patient brains putting these two findings together we hypothesize that cognitive performance in ad patients can also be enhanced by administering pulsatile gnrh at normally occurring doses improving their quality of life the upgrade project will extend promising results we have obtained on the effectiveness of this strategy in a preclinical mouse model of ad analyze gnrh activity and pulsatility in an existing cohort of ad patients and finally draft a clinical trial protocol to test the safety and efficacy of pulsatile gnrh therapy to reactivate cognitive reserves in patients with mildmoderate ad
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developing the supply chains for industrial hemp fibre and biobased resins towards high performance circular biobased composites
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ssuchynext builds further where previous bbi ssuchy stopped in 2022 ambition is to bring different parts of the hemp fibre supply chain to trl 7 through production at scale of various fibre products covering the complete value chain from field to composite two value chains are further developed fibres are extracted by either scutching or by breaking rollercard linking into different geographical regions hackled and carded slivers are further processed into high quality preforms for composites woven and quasiud fabrics and purely ud hemp tape the appearance at industrial scale of high quality hemp fibres would give a boost to plant fibre composites in competition with glass fibre composites offering both an environmentally sound and cost effective alternative especially with less expensive medium length fibres with hemp fibres which are largely circular one of the major bottlenecks for a further breakthrough of biobased composites has been the lack of fully biobased environmentally sound and as well cost efficient polymer matrices hence our ambition in ssuchynext to work on 3 biobased resins biobased acrylic polymer elium with very high biocontent and fully biobased benzoxazine and bgepoxy building upon developments in ssuchy all systems developed to trl 6 or 7 to demonstrate the viability of the materials various inspiring applications are developed to trl7 we demonstrate the design production testing and certification of a 126 meter long wind turbine blade made from hemp and biobased acrylic woodbased products are developed based on infiltrated wood scaffolds in first instance with fluid acrylic also a hybrid woodbased product with hemp reinforcement is included to produce a leather replacement large scale building applications are demonstrated based on shorter fibres and benzoxazine for each developed product we demonstrate its recyclability all developments are monitored and adjusted by means of lca
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disruption of mucin glycosylation and mucus barrier function in response to a westernstyle diet
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in the healthy intestines mucus acts as a barrier that separates the host epithelium from the microbiota and intestinal contents as well as a habitat for commensal microbes the major component of intestinal mucus muc2 is heavily oglycosylated mucin oglycans are critical for mucus barrier function and hostmicrobe interactions alterations to mucin glycosylation have been associated with diseases such as inflammatory bowel disease and cancer and represent a novel target for therapeutic intervention however studies of the specific glycan structures altered during disease as well as the consequences of these alterations on mucus barrier function and the microbiota have been limited by a lack of tools to detect individual glycan epitopes mucus barrier dysfunction and microbiota dysbiosis specifically a shift towards expansion of mucindegrading bacteria have been observed in response to a high fatsugar low fiber westernstyle diet wsd my preliminary data indicates that a wsd can also alter specific mucin glycosylation patterns the identification of specific glycan alterations associated with a wsd creates the opportunity to study the role of individual glycan structures in mucus barrier dysfunction and microbiota composition this study aims to 1 develop novel probes to detect specific glycan epitopes and 2 use these probes to investigate the relationships linking mucus barrier dysfunction glycan alterations and dysbiosis in response to a wsd i will combine my previous experience characterizing glycan alterations in in vivo models of intestinal disease with host lab training in mucus physiology and bacterial enzyme characterization findings will advance our understanding of how glycosylation patterns are altered during disease and how these alterations contribute to disease pathogenesis this grant will allow me to enhance my skills as a researcher and give me the tools and experience necessary to establish my independent research group
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reinventing the theory of machine learning on graphs
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in many scientic domains graphs are the objects of choice to represent structured data from molecules to social networks power grids the internet and so on the exploitation of graph data represents a major scientic and industrial challenge graph machine learninggml is thus a fastgrowing eld with socalled graph neural networks gnn at the forefront however in sharp contrast with traditional ml the eld of gml has somewhat jumped from early methods to deep learning without the decadeslong development of well established notions to compare analyze and improve algorithms as a result 1 gnns all based on the socalled messagepassing paradigm have signicant limitations both practical and theoretical and it is not clear how to address them and 2 gnns do not take into account the specicities of graphs coming from domains as dierent as biology or the social sciences thus practical results may vary wildly from one case to the other with no guidelines on how to design reliable gnns in each case overall these are the symptoms of an overlooked major issue gml is hitting a glass ceiling due to its severe lack of a grand foundational theorythe ambition of project malaga is to develop such a theory solving the crucial limitations of the current theory is highly challenging current mathematical tools cannot analyze the learning capabilities of gml methods in a unied way existing statistical graph models donot faithfully represent the many characteristics of modern graph data computational complexity becomes problematic on large graphs malaga will develop a radically new understanding of gml problems and of the strengths and limitations of a large panel of algorithms our goal is to signicantly boost the performance reliability and adaptivity of gnns with a signicant impact on three types of graph data that exhibit very dierent but representative behaviors biological networks social networks and online recommender systems
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building vascular networks and bloodbrainbarriers through a biomimetic manufacturing technology for the fabrication of human tissues and organs
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tenths of millions of people with organ failures or suffering from degenerative diseases are waiting for a novel cellular therapy or for a transplant of a donor compatible organ and the immense majority of these patients will die before receiving the tissue or organ they need despite the significant advances in tissue engineering not a single artificial tissue has been used to replace a part of an organ with the exception of simple or avascular tissues like skin or cartilage thor proposes the development of a revolutionary tissue engineering technology capable to produce any type of human tissue for organ repair or replacement in case of illness trauma or degenerative diseases patienttailored tissues will be fabricated by pools of bioinspired minirobots in fully automated production plants using the breakthrough incremental technologies of the thor project selfassembling molecules inspired to the extracellular matrix selfassembling solid and hollow polymeric fibers materials functionalization using photoactivable crosslinkers cuttingedge mini robots to wave 3d selfassembling structures with factors and cells with micrometric precision thor tissue arises from highresolution 3d spatial positioning of selfassembling structures angiogenic factors and relevant cell lineages reprogrammed and expanded in a dedicated bioreactor under controlled conditions our longterm vision encompasses 1 the establishment of a tissue engineering industry for personalized organ repair producing any type of well vascularized and fully functioning tissues and 2 the maintenance of such tissues alive for long periods of time for an easy transportation to hospitals and clinics even far from the big cities thor will foster the rise of a new industry and of a new biomedical field while cadaveric donors transplants will not be necessary
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spacetime quantum metasurfaces with twodimensional layered materials
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many disruptive information technologies such as quantum technologies and 6g communication have been emerging as critical enablers to significantly promote human wellbeing such as ultrafast computers and mobile internet however due to civilized development and growing volumes of data it has aroused higher requirements of dataprocessing power and wireless communication efficiency exploring new approaches to improve the performance in advanced information technology is a destination that scientists have been constantly pursuing one promising technology for achieving such goals in a spatially and temporally controllable manner utilizes an artificially engineered array of active elements known as spacetime metasurfaces this project will use one of twodimensional 2d materials graphene to design and fabricate spacetime metasurface addressing a key question in the fields of quantum information and photonics how to dynamically manipulate the quantum states of entangled photons or nonlinear light based on different degree of freedom such as frequency and polarization the key objective of the project is to build a practical prototype of spacetime quantum metasurfaces based on graphene for the first time this project will focus on three different objectives theoretical design of timemodulated algorithm and optimized space distribution fabrication of spacetime metasurfaces with gatedtuned graphene nanopatterns and quantum imaging applications of spacetime metasurfaces the multidisciplinary nature of the project is strong involving a combination of well developed optics information science quantum technology 2d materials and nanofabrication this proposal includes both the transfer of knowledge to the host institution and the training of the candidate in new advanced techniques results have the potential capacity to increase the competitiveness of quantum technology and nanophotonics
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design and synthesis of mxenebased 3d porous heterostructure composites for enhanced photocatalytic ammonia production under ambient conditions for sustainable hydrogen energy storage
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while hydrogen is an excellent green energy carrier which holds tremendous potential as a sustainable environmentally friendly efficient and clean energy alternative its storage remains costly energyintensive and hazardous recently the possibility of chemical storage of h2 in the form of ammonia nh3 is receiving increasing attention however despite the potential of nh3 for hydrogen storage the existing fossil fuelbased nh3 production technology is highly energy intensive and costly photocatalytic nh3 synthesis is gaining familiarity as it is environmentally benign and sustainable however the conventional photocatalysts suffer from low nh3 yield poor photocatalyst operational stability and low solartochemical conversion efficiencies thus it is the current scientific challenge to design an efficient photocatalyst to convert atmospheric n2 to nh3 hence the design and construction of novel hybrid photocatalysts with enhanced photocatalytic performance is vital for efficient synthesis of ammonia as a hydrogen energy storage medium in recent years the twodimensional transition metal carbides carbonitrides and nitrides mxenes are gaining popularity for photocatalytic n2 reduction owing to their diverse elemental compositions large surface area lightharvesting ability and capability to host a broad range of intercalants besides heterojunction formation by combination of mxenes with 3d reduced graphene oxide rgo and other novel photocatalysts such as metalorganic frameworks zscheme photocatalysts would significantly increase photocatalytic performance of the hybrid by combining the merits of each component besides the interconnected structure of 3d rgo framework possesses a macroscopic porous structure for efficient incorporation of semiconductor nanoparticles in the 3d structure thus the current studydesigns and fabricates innovative 3d mxenebased hybrid photocatalyst for efficient photocatalytic synthesis of nh3
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artificial intelligence tool for environmental impact assessment of biobased products
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the main objective of argonaut is to develop an effective and easily accessible ai digital tool that accurately calculates the environmental and climate impact from biobased products across the entire value chain from cradle to grave using language models from global literature based on lca principles and allows for easy and secure tracking through a digital passport based on blockchain technology this tool will also include a decision support tool that uses this data to map out different alternatives for the value chain and their environmental impact thereby facilitating better and more sustainable decision making argonaut will contribute to the integration of key emerging digital technologies ai and blockchain and an environmental assessment methodology lca to create a reliable tool able to assist small and mediumsized producers to navigate the complex bioproduct landscape with enough relevant information security guarantees regarding the privacy of their data and in a userfriendly way capable of closing knowledge gaps and thereby of reaching to a wider range of producers argonaut will contribute to the implementation of the eus ecodesign for sustainable products regulation and allow for an accurate depiction of the environmental impact of such biobased products thereby supporting the development of more sustainable value chains and the transition to a circular bioeconomy across the eu
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decoding calcium pathway activated by plant intracellular immune receptors
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plant diseases have been causing global issues to agriculture economy and humanity understanding how plant disease resistance works is vital to finding durable and sustainable solutions to protect our crops one key molecular hallmark of plant immune activation is mediated by calcium signalling which is a commonly shared and wellknown second messenger in all cellular organisms however it has been overlooked how calcium signalling is activated by plant intracellular nucleotidebinding and leucinerich repeat immune receptors nlrs which are often one of the main genetic resources of plant breeding for disease resistance in addition upon activation it is not known how the immune receptors activate a large scale of defence genes via calcium signalling to answer these questions i will be addressing three objectives 1 decoding compartmentalized calcium dynamics activated by intracellular immune receptors nlrs 2 characterizing the role of helper nlrs in producing calcium signatures and transcriptional reprogramming 3 identifying calmodulins calciumbinding proteins that interact with key transcription factors to decode the calcium signature during effectortriggered immunity mediated by nlrs i will use an interdisciplinary approach combining cell biology genetics and multiomics the outcome of this study will expand our understanding of plant immunity and provide novel insights for crop breeding specifically tailored to counter hazardous pathogens i aim to 1 broaden my expertise in plant signalling research 2 expand my toolbox of cellular biology and genetics 3 develop the leadership skills required for managing a research group furthermore i will strengthen my scientific track record and network this decaeti project will be performed at the institute of biology leiden leiden university implementation of the project will support me to run this project successfully and advance my career to become an independent future leader
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phytomanagement as a sustainable feedstock source of lignocellulosicbased highvalue biobased products for textile applications
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phybi is a 48month action that will combine the soil phytoremediation concept with lignocellulosic biomass valorisation in an integrated phytomanagement circular economy approach the phybi concept will focus its efforts across different levels of development 1 test optimisation and validation of 4 phytomanagement case studies 2 optimisation of biomass fractionation into lignocellulosic components based on organosolv techniques and 3 characterisation and application of lignocellulosic fractions to create a wellplanned market route for the potential endapplications in the textile industryfurthermore the project will develop a virtual replication tool where phytomanagement valorisation process and endproducts will be integrated resulting in guidelines recommendations and thresholds for the replication of phybis case studies along other areas to finalise the proposal concept social innovation activities will strongly connect the process with the market and society with the aim to deliver high quality products with high level of acceptanceto achieve its goals phybi brings together a multidisciplinary team integrating experts in plant and soil science ubfc ubu uniovi phy chemical engineering and biorefineries cetim computational science ide textile materials and products ntt agroindustry particula phy dihleaf and market analysis knowledge exchange and social innovation sez
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dotsinnanowires by nearfield illumination novel singlephoton sources for hybrid quantum photonic circuits
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quantum photonic integrated circuits are ideal platforms for quantum computation and communication a longstanding issue in their realization is the lack of a deterministic quantum light source compatible with silicon indeed planar selfassembled iiiv quantum dots qds which provide highperformance quantum light sources i e single photons can hardly be grown on si and also lack the positioning control necessary for efficient postgrowth iiivonsi hybrid integrationnanowires nws in contrast are rodshaped nanoscale semiconductors that can host intrinsically sitecontrolled iiiv qds and can even be grown on si however qds in nws have yet to reach the performances of planar qds an issue that could be overcome by integrating qds in nws in photonic cavities such a solution is at present out of reach because conventional creation of qds during nw growth hinders their successful integration with cavities the nanowhyr project will allow the integration of qds in nws with cavities by realizing an unprecedented postgrowth creation of qds inside nws the new method consists of the incorporation of hydrogen in iiiv nitride nws whose bandgap can be controllably modified by hydrogen subsequent hydrogen removal by scanning nearfield illumination will permit tuning the bandgap of the nw in a nanoscale region this will allow us to form a qd in that region with a widely tunable energy the deterministic control of the qd position and energy is the key that will enable us to efficiently integrate the qd with a planar photonic cavities fabricated on si and b vertical nw cavities grown on si this will lead to the breakthrough of a sitecontrolled electricallydriven telecomfriendly single photon source in si photonic circuitsmoreover this new strategy permits the modulation of semiconductor properties at the nanoscale and it is thus expected to open new grounds in other research areas such as photovoltaics and thermal energy converters
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overnight vulnerable emotion reset normalizing invalidating generalized hyperaroused tension
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anxiety and insomnia account for onethird of the global mental health burden prognosis is poor chronicity and relapse are common because treatment effectiveness is moderate while this situation calls for treatment innovation the required knowledge on targetable key mechanisms is lackingtheir shared core symptom is hyperarousal covering subjective physiological and clinical indicators hyperarousal is not just another overlapping symptom individual differences in hyperarousal determine severity prognosis and treatment response across insomnia anxiety and stressdisorders hyperarousal links their genetic and phenotypic overlapsince hyperarousal plays such a pivotal role in the development and chronicity of these disorders a transdiagnostic mechanistic understanding of hyperarousal would have major implications for the direly needed development of better treatment this project aims for a transdiagnostic mechanistic understanding of hyperarousal across wake and sleep and use to this insight to innovate treatmentthe project will do so by combining largescale datadriven approaches with targeted testing of the novel hypothesis that hyperarousal may be reset overnight crossing disciplines and diagnoses the project will first deliver an integrated account of the subjective brain structural brain functional and physiological hyperarousal landscape this approach will deliver unprecedented transdiagnostic insights into the lifetime development and underlying brain mechanisms of hyperarousal vulnerability and its consequences for mental health moreover this approach will yield both innovative stateofthe art tools as well as practical tools to quantify hyperarousal these tools will be employed in both experimental preclinical studies and immediately applicable transdiagnostic clinical interventions expected to considerably improve the perspectives of people suffering from the most common mental disorders by alleviating hyperarousal overnight
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multidimensional approaches for comprehensive olive oil authentication
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virgin olive oil is probably the most representative and iconic component of the mediterranean diet no industrial processes or chemicals are added during production thus providing an extra value reflected in its higher price compared to most edible oils for this reason the assessment of the quality safety and authenticity is of importance from both economic and health perspectives considerable effort has been put during the last decades in this direction organizations such as the european union the international olive council and the codex alimentarius faowho have established guidelines and regulations to protect the quality and authenticity of virgin olive oil and to prevent fraud however despite these efforts towards developing new procedures for olive oil quality and authenticity assessment appropriate solutions for some specific issues have not been found yet current gaps in eu analytical methods include the detection of selected blends of olive oil with other vegetable oils seed oils to identify fraud hence it is urgent to identify and improve analytical solutions that can detect both standard and emerging frauds and to meet all the international market required information macooil multidimensional approaches for comprehensive olive oil authentication aims to propose novel cuttingedge solutions based on mass spectrometry previously unexplored in the field to provide adequate solutions for some of the challenges in terms of authenticity that need to be addressed in the virgin olive oil sector this project will develop novel tools to extend the potential to detect fraudulent practices of mixing virgin with refined deodorized lowerquality olive oil
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deciphering the genetic basis of chronic kidney disease towards prevention and personalized therapy
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chronic kidney disease ckd is a public health challenge affecting millions globally patients have increased risks of mortality morbidity and progression to endstage kidney disease eskd ckd is often clinically silent disease mechanisms are unclear and targeted therapies are unavailable recent studies support considerable contributions of underappreciated monogenic aetiologies in adults with ckd suggesting that most inherited kidney diseases remain undiagnosed untreated and poorly understood our overarching objective is to unravel the genetic basis of ckd towards early diagnosis and genebased therapy we therefore established the israeli eskd genetic cohort and already recruited clinical data and samples from 2000 participants with eskd our main objectives are 1 to unravel known and novel ckd genes by interrogating highrisk groups for genetic ckd using next generation sequencing on a population level 2 to study novel monogenic ckd disease mechanisms by using patientderived kidney organoids and mutationspecific mouse models specifically we will study a newly identified wdr19 mutation leading to many adult onseteskd cases in the israeli arabdruze population and 3 to develop genebased targeted therapies for ckd we will focus initially on monogenic ckd secondary to gainoftoxicfunction mutations in umod encoding uromodulin a kidneyspecific protein this relatively frequent adult ckd aetiology accounts for 052 of ckd cases worldwide altered uromodulins toxic effect is suitable for novel rnabased therapies gene silencing of uromodulin with antisense oligonucleotides will be performed and studied using a patientderived in vitro model as well as a umod mouse model this project will improve ckd classification and clinical management reveal disease mechanisms as well as novel treatments in a broader perspective this project will set the stage for future clinical trials and for other rnabased genespecific ckd treatments
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microbial hydroponics circular sustainable electrobiosynthesis
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for the first time mihy brings together microbial fuel cell mfc technology and hydroponics thereby introducing a prosthetic rhizosphere an extended rhizosphere community to the typically soilless configuration of hydroponics systems the mihy system will modulate nitrogen forms plant root microbiomes optimise nitrogen uptake and mobilise phosphorous averting the need for chemical fertilisers this circular sustainable platform turns carbon into biomass and reclaims nitrogen from wastewater streams linked through shared microbiomes the bioelectricity generating bioelectrochemical system bes microbial fuel cell mfc platform is i optimised to generate electricity from wastewater at 1mw1ml feedstock setting a new benchmark for mfcs ii driving wavelengthspecific leds to optimize photosynthesis iii capable of recovering useful biomolecules using adjacent mfcs to modulate the redox potential of a workhorse microbial electrolysis cell mec performing microbial electro synthesis mes this novel development brings together mfcs mecs since these share common microbial constituents they can be technologically combined without the need for external fossilfuel based energy sources to achieve this goal mihy aims to design biofilms using metabolic engineering in wild type symbiotic strains this nextgeneration hydroponics system has nearfuture applications in agriculture and in the urban environment it delivers a smart decentralized low power digital infrastructure with sustainable organic solutions which are in line with the ambitions of the missions cities climate adaptation urban agriculture precision gardening wastewater treatments energy generation synthesis of high value compounds eg vitamins mihy will also invite designers and stakeholders from various sectors to cocreate future applications ultimately it anticipates and facilitates a healthier sustainable naturebased urban landscape
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mapping out sharks alternative to bone the innovation of calcified cartilage
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sharks and their relatives are distinctly unique compared to other vertebrates including humans they have an internal skeleton made entirely out of cartilage it was presumed that cartilage was the ancestral condition among vertebrates based on the assumption that evolution would be driven toward the increased complexity of bone however recent fossil evidence disproves this assumption and reveals that the skeletal mineralisation shown in sharks calcified cartilage is an evolutionary innovation our understanding of calcified cartilage in sharks greatly lags behind that of the hard tissues in other vertebrates thus the mechanisms behind cartilage calcification how or whether this relates to bone and our overall understanding of how hard tissues evolved in vertebrates is impacted in this project i will address this knowledge gap by examining the 3d histology of calcified cartilage in a wide range of both living and fossil sharks using cuttingedge scanning methods this holistic approach will cover 400 million years of cartilage evolution in sharks the results of this project will be of importance across multiple scientific fields advancing our understanding of the evolution of hard tissues in vertebrates detailed 3d information on structural properties of calcified cartilage relevant to material engineering and insight into calcification mechanisms relevant to medical research on cartilage disorders in humans naturalis is the perfect setting to conduct this research due to the vast collection of preserved sharks available for study expertise in hard tissue histology and active collaborations with medical researchers on cartilage disorders it also offers a valuable platform for public outreach and skills training such as in management and science communication this project will provide a crucial stepping stone towards my aspiration to spearhead a research team focused on bridging research of both fossil and living animals
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adaptationoriented seamless predictions of european climate
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aspect aims for the setup and demonstration of a seamless climate information sci system with a time horizon up to 30yr accompanied by underpinning research and utilisation of climate information for sectoral applications middleground level1 the goal is to improve existing climate prediction systems and merge their outputs across timescales together with climate projections to unify a sci as a standard for sectoral decisionmaking the focus will be on european climate information but we will also look more widely where there is a policy interest eg disaster preparedness and in regions of european interest we will maintain a strong link into an exploit learning from the wcrp lighthouse activities on explaining and predicting earth system change to provide a bandwidth diversity of information the sci system will be based on multimodel climate forecasts and will build on learning from projects such as eucp it will align with new activities on digital twins within europe including destine the sci will combine physical science aspects with those from other disciplines to ensure the information is robust reliable and relevant for a range of user driven decision cases the information package will incorporate baseline forecasts and projections plus uncertainty but also new frontiers will be explored eg extremes which are of socioeconomic highlevel interest to be successful the research will encompass understanding and attribution of various processes along the timescales such as exploring signaltonoise ratio and their impact on predictability new ways of initialisation of the prediction systems merging predictions with projections provision of regional sci for europe by downscaling statistical methods ai and highres models including convectionpermitting models and innovative postprocessing method enhancing the skill and robustness of the climate forecasts
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fully automated cellfree dna extraction and quantification liquid biopsies safely from patient to lab
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liquid biopsies are blood tests with growing potential in diagnostics for cancer and prenatal screening preanalytical challenges such as the need for skilled workforce and strict logistic requirements for samples transportation are limiting the full exploitation of the method to address these technical issues we developed a method for immediate and automated sample processing that provides a sample with higher reliability less human labour and less transport requirements biopsense innovation is a fully automated disposable cartridge where the blood is filtrated using a dedicated hollow fiber membrane and then cfdna is isolated from the plasma in the microfluidic system the resulting sample can be then transported by regular post and eluted at the destination to carry out the final analysis the cartridge is controlled by a control unit composed of a vacuum generator software and a simple spectrophotometer in this eic transition project our objectives are to validate the automated cfdna extraction technology and to integrate all the features of the innovation in a single disposable cartridge which will be ready for marketing licensing and ivd validation by the end of the project the cartridge design will be done in close collaboration with the potential customers sector biotech companies and hospital laboratories to use their feedback to develop the user interface manufacturability and regulatory compliance the project will focus on the cartridge design and will outsource control unit development to a company with experience in vitro diagnostic devices designing and production in this project the commercialisation strategy for the next 510 years will be developed to define how our startup company biopsense will handle the disposable cartridge design and commercialization and further rd of the technology in additional applications
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elucidating drivers of human inflammatory bowel disease by nextgeneration organoid modeling
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inflammatory bowel disease ibd is a collective term for bowel diseases caused by undesired immune reactions and can currently not be cured to develop adequate treatments for ibd we need to understand the nature and causes of the pathogenic immune responses observedto identify mechanisms driving ibd in humans we need apart from diagnostic correlative studies adequate in vitro cell models that realistically recapitulate the in vivo situation and allow for intervention studies thus far in vitro models that incorporate next to intestinal epithelium also supportive stroma and immune cells are lacking in my phd studies i generated a map of the ibdassociated immune cell network by singlecell analyses of healthy and ibd patient samples in my postdoctoral work i have developed an air liquid interphase ali intestinal organoid platform derived from human samples that supports tissueresident immune cellsin this project i aim to identify cellular and molecular networks driving ibd by diagnostic and intervention studies in intestinal ali organoids for this purpose i will 1 validate ali intestinal organoids as accurate ex vivo model by analyzing their immune cell composition and functionality in spatial context and 2 aligning this with the in vivo situation by data mining of public singlecell rnaseq of inflamed intestines 3 integrate datasets generated in 12 to reveal cellular and molecular immune cell interactions associated with ibd and 4 implicate interactions identified under 3 in driving ibd by molecularly targeted interventions in ali organoids the proposed work will take place at host institute leiden univ medical center with a 4month secondment phase at technical univ delftthis project is expected to deliver insight into immunological mechanisms driving ibd and clinically translatable therapeutic interventions by mechanistic studies in a novel in vitro system mimicking the in vivo cellular environment of human ibds
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into the sedimentary matrix mapping the replacement of neanderthals by early modern humans using microcontextualized biomolecules
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the demise of neandertals and the peopling of europe by anatomically modern humans amh occurred geologically speaking in the blink of an eye while we know that neandertals and amh interbred how and where this interaction occurred remains unresolved now that humans can be fingerprinted from the adna they left behind in sediments highresolution site formation studies are essential to establish microstratigraphic integrity and to reconstruct the human past at finer scales matrix will zoom into the sedimentary matrix at an unprecedented resolution using adna but also proteins and lipids stored in archaeological sediments in order to 1 find the identity of past hominins in wellpreserved microcontexts 2 reconstruct both their behaviors diet use of fire and environments they lived in and 3 contribute to rewriting what happened at the time of neandertal disappearance by integrating highresolution molecular and microscopic records we will focus on seven selected sites distributed throughout europe and with established adna preservation we will assess the microstratigraphy of deposits from 50 to 40000 years bp by studying intact archaeological samples in 2d and 3d micromorphological views we will obtain adna data at a microscale and couple it with bone proteins and lipids from organicrich sediment samples all extracted from intact micromorphological samples the project aims to achieve for the first time an integration of biological behavioral and environmental information of archaeological deposits at a mm and submm stratigraphic scalepioneering the application of microarchaeological techniques linked with contextualized molecular data while setting a rigorous basis for their interpretation matrix will greatly improve our understanding of the migration of amh into eurasia and eventually to our inhabiting of the entire world
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innovative imaging insights i3 development of mrcompatible bioreactors for tissue engineered heart valves
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given the escalating global burden of valvular heart disease and the pressing need for living heart valve replacements i decided to focus my research on this healthcare challenge by acquiring new skills through advanced training and international interdisciplinary collaborations my proposal i3 combines the design and application of a novel bioreactor for assessing tissue engineered heart valves tehvs by highly advanced magnetic resonance imaging mri to kickstart the innovation cycle in invitro experiments especially young patients with valvular heart disease will profit from tehvs as they suffer from current heart valve replacements lacking the ability to selfrepair and growth as well requiring the lifelong intake of anticoagulantsleveraging the highdimensional noninvasive analysis potential of mri my i3 proposal establishes new innovative tools for tehv research to enable new insights in the resulting hemodynamics downstream of tehvs close the optimization loop invitro using patientspecific boundary conditions and reduce the need for ethically and monetary challenging animal experimentsbuilding on my expertise on advanced mri i will acquire new skills to develop a novel mricompatible bioreactor in the project enabling invitro experiments with high precision and repeatability the imaged flow field in the bioreactor allows me to select and optimize a tehv for specific hemodynamics of patients invivo mrienabled feedback of the resulting hemodynamics offers further diagnosis furthermore invitro and invivo measurements offer important information for optimization of tehvs for patientspecific treatmentsi will use the knowledge and skills gained from this intersectoral and interdisciplinary project for my next career steps incl submission of an erc starting grant in the field of biomedical engineering research aimed at providing all patients with a suitable heart valve replacement i3 is a major step towards making this a reality
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innovative chemistry to illuminate biology a new chemical conjugation technology to optimize drug discovery
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drug discovery faces two key challenges on one hand the sector has been losing competitiveness due to an increase in development costs and a reduction in sales and on the other hand the new therapeutical targets that appear every year in part thanks to the potential of personalized medicine demand urgently new research tools to efficiently identify new drugs acting on them celtarys proprietary technology provides a solution to both challenges it is a new and disruptive patented chemical conjugation methodology that allows a qualitative and quantitative leap in the development of fluorescent chemical tools required to optimize early phases of the drug discovery process thus reducing the attrition rate in later clinical phases and therefore optimizing the efficiency of the process at the same time our technology makes possible to develop in a costly and timely competitive manner customized fluorescent tools for any target of interest unlocking the potential of newly identified therapeutical targets our technology is an efficient and environmentally friendly legolike semicombinatorial conjugation strategy accelerating the design and synthesis of fluorescent probes with optimal pharmacological and photophysical properties for any target with therapeutic interest outperforming radioligands and other available fluorescent probes thus improving the complex and costly drug discovery process celtarys is led by two women both founders of the company maria majellaro phd in chemistry inventor of the patent in which our technology is based and cso and sonia martnez arca phd in biology with previous experience in entrepreneurship and ceo of the company celtarys has been founded in 2021 and has secured a seed investment round we count already with products in the market and our first clients our priority for the short term is consolidate our market position and undertake a growth phase for which we seek support from the women techeu program
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closedloop control of fungal materials
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in an interdisciplinary approach loopoffun will develop a conceptual and technological framework for the efficient and effective development of fungalbased living materials with open and closedloop control of mechanical and structural properties this framework is based on four pillars i the development of genetically encoded sensors and actuators for reading and writing mechanical and structural material properties as well as the assembly of these modules to open and closedloop control circuits ii the identification of filamentous fungi with naturally evolved superior properties for material synthesis as well as accessing them for synthetic biologybased programming iii the development of the 4d explorer an automated robotized platform for the efficient and effective development of engineered living materials based on iterative designbuildtestlearn cycles and iv a holistic approach for designing the final products based on the novel opportunities of loopoffun advances following this framework loopoffun will produce materials featuring open and closedloop control of mechanical and structural properties the intrinsic control features make the materials robust towards environmental fluctuations while aligning material properties with usage characteristics the development and applicability of the novel materials will be shown by producing two different demonstrator materials at cmm scale one as structural material and the other one for pollutant degradation the framework developed here as well as its underlying routines can generically be applied for the design and optimization of elms made of other organisms and matrices loopoffun has an effective strategy for ip protection as well as for dissemination and interaction with commercialization partners loopoffun will comprehensively address its stakeholders and establish a communication strategy designed at promoting elms as a sustainable contribution to the eu technology field
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fiscal reform in egypt from the achaemenids to the ptolemies
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the project challenges the notion of a dramatic break in institutional practice following the greek conquest of the eastern mediterranean in the hellenistic period 33230 bce by reconstructing the genealogy of the ptolemaic fiscal system in egypt the best documented hellenistic state building on my previous research on ptolemaic taxation i will establish the extent to which these kings developed earlier fiscal practices especially those in evidence under the achaemenid rulers preceding them both inherited and new the main objective encompasses 3 work packages the documentation produced by the respective regimes the rationale of their fiscal systems and the collectors and beneficiaries of the taxes to this end i will combine for the first time documentation written in greek demotic and aramaic and approaches divided over ancient history egyptology and semitic studies resulting in the longlasting collaborations required for exploring interconnections across the mediterranean a major aspect of the project is the creation of a pioneering database of persian egyptian fiscal texts training will focus on acquiring a working knowledge of aramaic and the open science skills required for the highly collaborative research the project will be hosted at the cnrs joint research unit arscan in nanterre and supervised by dr agutlabordre specialist of achaemenid egypt and director of achemenet the major platform for dissemination in achaemenid studies the achaemenid expertise centered in paris is the perfect complement to my background in greek and demotic papyrology learning aramaic will moreover provide me with a uniquely broad perspective on later egyptian history leading to more groundbreaking research in the future communication measures will focus on the long history of fiscal systems and their impact on society inviting greater reflection on our own democratic societies a key eu priority and will include stakeholders in contemporary egypt
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virtual embodied reminiscence therapy in extended reality
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vertex is a proof of concept project that aims to use virtual reality vr to improve the wellbeing of older adults the project is based on the idea that psychological factors play a key role in agerelated deterioration and that older adults attitudes towards aging may be a significant predictor of physical and cognitive frailty participants will experience scenarios and events from their youth such as being in a 1970s living room they will be transported to memorable historical events from the time of their youth such as famous concerts the project aims to evaluate the effects of this experience on aging and provide evidence for the benefits of such an intervention with the goal of supporting a spinoff the project will involve several stages a further implementation of the vr application continuing from results of an experimental study in the associated advanced grant motive the carrying out of a further experimental study based on the new application the rollout of the application to community centres providing opportunities for many people to experience this in such institutional settings and the rollout to individuals to use in their homes on a loan basis focus groups with stake holders such as community centre managers will be carried out to assess the potential of the introduction of the vertex system as part of what can be offered to clientele the business opportunity and regulatory framework will be investigated all this information will be used to create a business plan that will make the case for investment to take the project forward in a spinoff to make vertex available on a large scale
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reaction robot with intimate photocatalytic and separation functions in a 3d network driven by artificial intelligence
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mimicking the chemical production of nature is a well pursued dream in the scientific community scientific progress is limited by the lack of efficient synergies among complex functions and by a much smaller research library than nature catart will explore new synergies in reaction robots that mimic nature in a much faster way this will be achieved using h2o and co2 as model substrates we propose systems containing 3d quantum dot networks with the ability to simultaneously harvest sunlight by luminescence photocatalyze substrates and separate products these phenomena will be managed by artificial intelligence leading to reaction robots that autonomously learn and instantly maximize productivity the envisioned system will revolutionize the way chemicals are produced the combination of expertise in photonics machine learning catalysis organic chemistry and engineering from 5 academic 1 research center 1 sme and 1 industrial partner will enable a successful pathway into feasible reaction robots catart will contribute to a gamechanging chemical technology placing eu industry and society in a privileged situation to face future economic and environmental constraints
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woodndame reconstructing the climate and medieval woodland management strategies from the charred woods of notredame de paris contribution of dendrochronology wood anatomy and carbon isotope data
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the unfortunate event of april 15th 2019 the notredame de pariss cathedral ndp fire brought a unique and extraordinary opportunity to study past environmental conditions prevailing in the paris basin through charred oak wood pieces partly dated between the 11th and 13th centuries the charred woods from the roof structure of the ndp open a unique window into the medieval climate anomaly 9501250 ce a period characterised by warm and dry summers that profoundly influenced society during the high middle ages hma especially in europe furthermore the major pieces of the roof framework correspond to trees of ca 2025 m in height with small diameters 3050 cm which suggest specific woodland management by investigating uncharred and charred tree growth rings from ndp the woodndame project will aim to provide an annual and seasonal high temporal resolution reconstruction of the interactions between climateforestwoodland management systems during the hma to reach this goal the project will first develop a pioneering and interdisciplinary methodology combining dendroanatomical features and stateoftheart isotopic 13c analysis to provide i a comprehensive picture of the impact of carbonisation on oak wood anatomical and chemical properties at inter and intraring scales and ii a modern reference using these multiproxy approach based on 15 wood stands in the paris basin for disentangling dendroclimatological and woodland management signals
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hub molecules of metabolism and signalling key regulators of life
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metabolic disorders are a major burden on the european population and health care systems moreover metabolic perturbations contribute substantially to other pathologies such as neurodegenerative disorders and cancer the causes of metabolic dysregulation are manifold and lead to pathological shifts often in response to imbalanced nutrition likewise changes in metabolism affect signalling mechanisms and gene regulation aggravating the pathology the mechanisms of this interdependence between metabolism and signalling are still not well understood hubmol will fill this knowledge gap and open new horizons by exploring the functional duality of a set of small molecules that are involved in all cellular functions the hub molecules of life hubmols including atp sam sadenosylmethionine and the vitaminderived cofactors nad fad and coa they are key components of both metabolism and signalling networks and are interconnected for example through their participation in posttranslational protein modifications ptms the complexity of this emerging area requires interdisciplinary scientists equipped with comprehensive competences covering experimental computational and systems biology as well as clinical medicine therefore the main hubmol goal is to provide worldclass training in these areas to 16 dcs enabling them to establish fundamentally new insights into cofactor biology and lay the ground for patienttailored vitamin supplementation concepts the strategic exposure of the 16 young researchers to leading european academic institutions companies and clinical environments combined with systematic training in entrepreneurship and transferable skills will strongly improve their employability for positions in both private and public sectors hubmol will impact patients and society by developing therapies for metabolic and regulatory imbalances based on hub molecule biology
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ai in the lead when why and how ai leadership will not work
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millions of employees around the globe work for an ai manager that structures their tasks and monitors their performance while companies hope that such ai managers will lead to substantial performance benefits it is critical that ai transits from a bureaucratic manager to an inspiring transformational leader if companies want employee performance and satisfaction to peak to date however research on the consequences of ai leadership cannot give relevant insights because scholars have studied employees in hypothetical scenarios or simplistic environments that do not mirror the complex realities of contemporary workplaces my goal within the marie skodowskacurie fellowship is to tackle these problems by investigating interactions between employees and ai leaders from an interdependence theory view across two empirical studies with more than 1400 employees i will examine how ai leaders programmed via a novel natural language processing tool affect employees task performance and satisfaction when they really interact with ai leaders across interdependent tasks different leadership styles and work constellations given the rise of ai managers within europe this research will provide relevant scientific practice and policy insights aimed at sustaining a highperforming and satisfied european workforce of the future i will accomplish these ambitious goals by combining my expertise with the profound knowledge of interdependence theory and longitudinal methods from maastricht universitys scholars in sum this action and the foreseen two toptier publications will substantially advance my research both theory and methods skills and extend my professional and practice network maastricht university is an ideal fit for this fellowship that will be a significant boost for my academic career and will provide a cornerstone for becoming a mature and renowned scientist in the field of ai leadership in particular and organizational behavior in particular
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surfaces on fourfolds
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enumerative geometry is the field of algebraic geometry dealing with counting geometric objects satisfying constraints for instance in ancient greece apollonius asked how many circles are tangent to three given circles in the plane it is a very active area due to unexpected connections with other fields of mathematics and physics so far modern enumerative geometry is largely about counting curves recently i worked on foundations for a theory for counting surfaces in 4dimensional spaces this is the starting point of this proposal which is about discovering new properties of 4dimensional spaces using surface counting project a explores surface counting in calabiyau hyperkhler and abelian fourfolds in a series of concrete settings the impact is this when the count is nonzero for some 22 class on x then it implies the variational hodge conjecture for x the hodge conjecture is one of the millennium prize problems and the first open case is for 22 classes on 4dimensional spaces project b investigates 4dimensional singularities it is about discovering a connection between the geometry and algebra hidden in the singularity called crepant resolution conjecture the impact is this for 3dimensional singularities the crepant resolution conjecture does not work when surfaces get contracted by embedding 3dimensional singularities in 4 dimensions i expect to solve this open case project c shifts from counting surfaces in 4dimensional space to counting representations of 4dimensional noncommutative rings the same move for 3dimensional rings opened up an entire field and this project will do the same for 4dimensional rings interesting examples include sklyanin algebras noncommutative resolutions of 4d gorenstein singularities and quantum fermat sextic fourfoldsthe common denominator of these projects is that they involve 4d phenomena that could previously not be explored and are made accessible by this proposal
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resolving the multiscale multiphase universe
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galaxies grow through the reciprocal cycling of gas between disks and their massive surrounding halos despite major strides in observations and simulations the physics regulating this galactic ecosystem remains unclear primarily due to the multiphase multiscale nature of circumgalactic gasall current cosmological simulations fail to capture the multiphase structure of galactic halos and exhibit a lack of convergence in even the first order gas properties such as the amount of cold gas found this strongly limits their applicability in the circumgalactic medium to interpret existing observations as well as their predictive powerremmu will breach this barrier by implementing an innovative multifluid subgrid model to track unresolved gas phases both in hydrodynamical and radiative transfer simulationsthe objectives of remmu are to 1 run the first cosmological simulation with converged gas properties and 2 perform a robust comparison with absorption as well as emission line data of galactic ecosystemsthis work will shed light on the drivers of galactic growth and feedback mechanisms the key challenge to understand the formation and evolution of galaxiesonly recent advances in fundamental hydrodynamical theory have constrained the parameter space sufficiently and thus opened the pathway for subgrid models of unresolved gas simultaneously a rapidly growing body of observational surveys started to revolutionize the available data on galactic ecosystemshence remmu is particularly timely combining these advances it will exploit the theoretical progress in a full cosmological context and establish firm predictions for comparison with observations across cosmic time ultimately breaking the current impasse the pi has made significant contributions in the theory of small scale hydrodynamical as well as radiative transfer problems and is therefore uniquely suited to establish a worldleading team to carry out remmu
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fuel recycle and experimentally demonstrated manufacturing of advanced nuclear solutions for safety
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fredmans aims to increase safety and efficiency in both nuclear power production as well as the recycling of spent fuel changing from oxide fuel to a more fissile dense material with higher thermal conductivity can enhance both safety of operation and the economic impact of nuclear power at the same time a transition to a greener society with respect to both the generation and usage of electricity will drastically increase consumption of finite materials generation is predicted to increase by 1620 times in particular as electrification replaces the direct use of fossil fuels for heating and transportation the nuclear industry can mitigate their part of the resource use through the recycling of spent nuclear fuel this can enhance the actual power output by about 20 times however today there has been no full industrial demonstration of the complete recycling of nuclear fuel although one time recycling including of plutonium has been used on large scale for many years eg in france the model fuel is nitride fuel it may be more energy efficienteconomically advantageous to recycle not only the fissile material but also the required isotopically enriched n15 that is otherwise currently a costly raw materialthe project sets objectives that address the overall goals of the set plan snetp and eera jpnm sra to answer the specific aims of this call relating to the safety of advanced fuels and their recyclability in particular nitrides highlighted in the call we will prove that advanced fuels are a viable option for industrial use that can enhance the safety sustainability and economics of nuclear power operationthe work packages are advanced manufacturing recyclability waste management and industrial applications across all these wps the crucial aspect of safety is held in high focusas the real safety of future nuclear systems is achieved through well educated people an extensive training education work package is included
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statistical machine learning for dynamic network modelling
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networks are ubiquitous in the society technology biology and economy being able to perform accurate inference and prediction on such data is highly nontrivial due to their large size and complex dynamic behaviour in many networks such as social ones connectivity patterns and network structurechange dynamically on the other hand technological networks such as water systems have fixed structure but dynamic processes might take place on them appear such as failures dynemo is a crossdisciplinary project that aims to provide a novel explainable yet scalable framework using statistical machine learning to model dynamic behavior on networks with the goal to answer crucial scientific questions with social and environmental impact influencing public policy the project combines statistical tools that ensure flexibility data adaptivity and interpretable parameters with deep learning tools ensuring efficiency and scalability the methods will be used to answer two highly impactful scientific questions given access on unique datasets the first is how companies worldwide can maximize their socioenvironmental impact aligned with un sustainable goal strategies the second question is how to quantify and predict behaviour of cascading pipe failures on the water distribution systems in cyprus the results will detect patterns and perform prediction thus influencing public policy in alignment to the eu strategic goals on monitoring water systems the fellow and the supervisor have complementary expertise which in combination with the plan the arrangements and environment provided by the host institution ensure a successful implementation of this novel and timely project as well as an effective dissemination and utilisation of the expected outcomes the results of the proposed action are expected to have important conclusions on socioenvironmental impact and can shape decision making and policy making in the eu and around the world
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higherorder motor control of stochastic behavior in an uncertain environment
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decisionmaking behaviors often occur in the absence of clear instruction to guide action instead theories and experiments have predicted that the brain must compute a decisionvalue based on past experience to select the best action this implies that the action with the highest subjective value should always be chosen however behavior is often stochastic with variability from trialtotrial to resolve this longstanding paradox motorhead will take full advantage of stateoftheart in vivo neuronal recordings and computational methods in behaving rodent to bridge for the first time the gap between deterministic decisionsignal and stochastic motor commands achieving thus an unprecedented level of understanding of these unpredictable behaviors indeed despite decade of intensive work key questions remain unexplored i how such a deterministic decision signal is maintained without necessarily causing movement ii and how it is then converted to a final motor command with trialbytrial variability here we hypothesize that these two operations occur in higherorder motor areas and more particularly across recurrent cortical layers of the secondary motor cortex of rodents specifically we posit that i distinct populations of layer l 5 pyramidal neurons pns generate specific movement according to the decision statistics provided by l23 pns specific attractor architectures with different stability to noise perturbation could cause the system to behave more or less randomly ii this topdown excitation could be dynamically gated by bottomup plasticity forces from rewardrelated structures which modulate decisionvalue to account for past choice outcome notably when the action no longer generates the expected outcome to achieve this breakthrough we propose an ambitious system neuroscience approach at high spatial and temporal resolution to illuminate the cellular principles underlying the control and transformation of decision variable
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multiscale multiprocess machine for high valueadded products with disruptive functionalities
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wise sets a new frontier for product complexity by shifting the focus from geometry to functionality introducing features such as selfhealing triggered biomolecule diffusion and smart repairing this disruption redefines current design methodology leveraging advanced aiaided engineering and multiscale multiprocess manufacturing to achieve unprecedented complexity wise has the potential to drive a discontinuity in the growth of the european industry by convincingly demonstrating an innovative competitive and scalable manufacturing concept based on a single machine that integrates macroscale processing ie ded via hybrid blueir lasers and micronano scale processing ie fs and ns laser ablation 2pp dalpwise will deliver a trl7 multiprocess machine integrating highprecision multiscale techniques for producing complex multifunctional products the project will demonstrate the machines performance flexibility and precision by producing three complex hybrid products in medtech aerospace and power generation sectors the project builds upon trl5validated results from previous h2020 projects which have brought significant innovations in the field of advanced manufacturing and enabling technologies the work plan includes a final demonstration to validate the solution through the production of complex components based on enduser requirements upon completion wise will be further developed to reach trl9 within 24 months leading to its commercial launch as a multiprocess manufacturing stationthe wise consortium is composed of 16 partners including 8 smes 4 le and 4 rtd their expertise covers mechatronics intelligent nanostructured components lasermaterial interaction highprecision machines and tools the project partners form a cluster of european countries playing crucial roles in the production of functionalized products with smart functionalities adaptive photonic solutions and advanced mechatronic systems
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quantum dot coupling engineering and dynamic spin decouplingdeep nuclei cooling 2dimensional cluster state generation for quantum information processing
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the overarching objective of qceed is to find solutions to current bottlenecks to photonic quantum information processing scalable photonic universal quantum computation exploits the measurementbased quantum computing paradigm relying on multidimensional photonic cluster stateshowever the technological capability to generate ondemand largescale 2dimensional cluster states has not yet been provenqceed will demonstrate the largescale ie many photons emission of 2dimensional cluster states of light thanks to the development of new engineered paired semiconductor quantum dot qd systems and the exploitation of advanced deep nuclei cooling andor dynamic spin decoupling to improve system coherence timeto achieve this one needs to deterministically design qd couplingpairing and ultimately tailor specific molecular statesarchitectures lambda like energy levels conventionally exploited selfassembled qd systems eg sk or droplet epitaxy qd systems are in general not suited for the task qceed will attack the issue with a twintrack approach and demonstrate the advantage of movpe sitecontrolled ingaas pyramidal qds and cbe inasp nanowire qds qceed will also tackle the essential requirement for scalable quantum computation that is to efficiently funnel the generated photons into specific photonic modes by implementing tailored tapered waveguiding designs and broadband optical cavities with relatively high purcell factors qceed brings together 7 partners from 5 countries which combined possess all the complementary expertise necessary to fulfil the ambitious objectives and to prepare a postproject sustainability and exploitability planthe combined effort will result in a new scalable platform of semiconductor sources of multidimensional cluster states for efficient quantum information processing if successful large scale on chip quantum photonic computation will be a significantly closer certainty
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efficient water splitting via a flexible solarpowered hybrid thermochemicalsulphur dioxide depolarized electrolysis cycle
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hyselect will demonstrate the production of hydrogen h2 by splitting water via concentrated solar technologies cst with an attractive efficiency and cost through the hybrid sulphur cycle hys the hys consists of two central steps the high temperature yet below900c decomposition of sulphuric acid forming sulphur dioxide so2 and the subsequent low temperature 5080c so2 depolarised electrolysis sde of water to produce h2 hyselect will introduce develop and operate under real conditions a complete h2 production chain focusing on two innovative full scale plant prototype core devices for both steps of the hys cycle an allothermally heated spatially decoupled from a centrifugal particle solar receiver sulphuric acid decompositionsulphur trioxide splitting sadsts reactor and a sulphur dioxide depolarized electrolyser sde without expensive platinum group metals pgms furthermore a heat recovery system will be integrated to exploit the temperature difference within the cycle and boost the overall process efficiency in the course of the work noncritical materials and catalysts will be developed qualified and integrated into the plant scale prototype units for both the acid splitting reactor and the sde unit experimental work will be accompanied by component modelling and overall process simulation and culminate with a demonstration of the complete process integrating its key units of a 750kwth centrifugal particle receiver a hot particles storage system a 250kwth sadsts and a 100kwe sde into a pilot plant testing for a period of at least 6 months in a largescale solar tower driven with smart operation and control strategies will establish the hyselect targeted efficiency and costs finally an overall process evaluation will be carried out in order to assess the technical and economic prospects of the hyselect technology directly linked to the knowhow and developments of the sulphuric acid and water electrolysers industries
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mild combustion with nitrogen and carbon dioxide reforming
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reduced net emissions of carbon dioxide co2 are necessary to achieve the goals of limited global warming and ensure a sustainable future for our society this proposal presents a versatile and scalable process for management and valorization of co2 and nitrogen starting from biomass residues a first step in the proposed scheme involves a pyrolysis process that results in the release pyrolysis oil of rather low heating value however combustion under very diluted conditions using a moderate or intense lowoxygen dilution mild concept allows for efficient and lowpollutant energy conversion the mild combustion process is utilized for a co2 reforming step resulting in generation of syngas the pyrolysis and the reforming are supplied by heat from the mild combustion that can be further supplemented by intermittent energy sources such as solar and wind power the residual char product from the pyrolysis step can be upgraded by activation with co2 and utilized for adsorption of nitrogen from biomass the nitrogenenriched char can then be used for soil carbonization and nitrification the concept thus addresses the objective of co2 and nitrogen management with efficient renewable resource deployment it also adopts a circular approach as it can employ biomass residues as raw material and combines the production of heat and syngas with that of porous biochar materials for several possible utilizations the process can be adapted by multiple parameters and optimized for different conditions and purposes and rather than optimizing on a single product or aspect the concept brings a holistic view the development of the process will include experimental research with stateoftheart analysis methods based on laser diagnostics and neutron scattering combined with numerical modeling of the thermochemical processes lifecycle analysis will be made during the project to guide process development and assess its impact
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3 industrial ecosystems tackling supply chains disruptions and boosting advanced technologies uptake
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the overall objective of 3 industrial ecosystems tackling supply chain disruptions and driving the adoption of advanced technologies idealist is to support smes in industrial ecosystems 1 energyintensive industries 2 aerospace and defence 3 mobility transport automotive in their ability to understand and adapt to changes brought about by rapid and unexpected developments in the world such as the covid19 crisis or the russialed war in ukraine these 3 sectors are of capital importance for the european economy and despite their specificity have common challenges that the project will help to address transition to more sustainable practices competitiveness issues in a context of scarcer raw materials and more expensive energy change in consumption habits being more resilient means giving smes the opportunity to be a player in these changes and no longer just a spectator or follower to do this the project will evolve around three pillars 1 strategic foresight to establish relevant tools and behaviors to anticipate and better prepare for change in an orderly and systematic way 2 technology uptake to overcome obstacles related to the implementation work of advanced technologies and lay the foundations of alliances between techsavvy and traditional smes and 3 supply chains to identify critical dependencies and weaknesses in order to limit the impacts of disruptions on value chains this work will lead to the realization of pilot projects promoting the meeting between ecosystems facilitated by the use of the hackmatch method the mobilization of the agora platform led by eit manufacturing will support this objective of matchmaking and community building the project is carried by a relevant consortium of 14 partners from 6 european countries and ukraine representing several thousand manufacturing companies the project will take place over 3 years 36 months
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unravelling the potential of lysmdomain proteins to awaken silent secondary metabolites genes in predatory bacteria through predatorprey interactions
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as a microbiologist with an expertise based on the study of the genetic response of microorganisms to their environment and other microorganisms with a strong background in myxobacterial biology i will study the induction of new antibiotic compounds in predatorprey cocultures through the lysm project a transcriptome analysis of the predator bacterium myxococcus xanthus in such conditions has revealed the induction of five genes coding for proteins with peptidoglycanbinding lysm domains together with several gene clusters involved in the production of secondary metabolites the lysm project will be carried out at the department of microbiology of the universidad de granada ugr under the supervision of prof jos muoz dorado their current line of research in bacterial predation and the experience i acquired throughout my international postdoctoral stages will create a strong synergy where we will achieve greater advances than we would separately his research group counts with several experts in myxobacteria bacterial predation and transcriptional regulation and an excellent network of international collaborators that will contribute to the success of this projectthis research project aims to discover mechanisms to awaken silent new secondary metabolites genes of m xanthus through predatorprey interaction focusing on the role of peptidoglycanbinding proteins during predation
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gender equality and populist upsurge
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the gepu gender equality and populist upsurge research project delves into the interplay between gender equality cultural dynamics and electoral outcomes focusing on the rise of populist radical right prr parties in contemporary western societies drawing from the cultural backlash theory it investigates whether the increasing gender equality gender policies and salience of gender issues have contributed to a cultural backlash affecting the electoral success of prr parties spain and italy serve as the primary research contexts examining parties like spains vox and italys lega and fratelli ditaliathe projects central aim is to explore whether the presence of women in politics significantly influences electoral outcomes specifically the rise in the vote shares of extremeright parties it seeks to establish a causal relationship between gender equality and prr party support three specific research objectives guide the study 1 estimate the impact of electing a female mayor on extremeright party vote shares using a regression discontinuity design
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streamlining structural biology developing a highthroughput cloudbased cryoelectron tomography platform
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cryoelectron microscopy cryoem has revolutionized biomolecular research it enables structure determination of proteins and their complexes at nearatomic resolution informing on their mechanism of action and their role in disease importantly it also assists the development of novel therapeutics cryoelectron tomography cryoet is an emerging cryoem modality which has demonstrated the potential of to determine protein structures at nearatomic resolution in their nearnative environment importantly cryoet provides snapshots of macromolecules during their function allowing to capture different stages of biochemical reactions in the cell and inferring their temporal order however cryoet relies on extensive computational data analysis current analysis pipelines require extensive computational resources various software packages and a high degree of expertise to build and execute workflows for data analysis building on my previous research from the erc consolidator project bender project i propose to create a cloudbased workflow for standardized and automated highthroughput cryoet data analysis cryoetcryocloudthis solution will not only reduce analysis time from months to days but it will also make the method accessible to a broad community by eliminating the need for investment into expensive computational infrastructure and their maintenance through scarce qualified personnel my proposed workflow will both enable and democratize highcontent data analysis of cellular tomograms thus dramatically increasing our knowledge of the molecular machinery inside the cell to perform this work and reach market rapidly i will perform cryoetcryocloud in very close collaboration with a team of people from the startup company cryocloud which emerged from my research group
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scalable hardware for largescale quantum computing
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computing power is key to innovation allowing us to process vast amounts of data and solve complex problems in fields such as finance healthcare science and engineering however traditional computing has limitations and quantum computing offers a solution quantum computers excel at optimization tasks such as solving complex logistical problems one day they may be able to accurately model viruses and drugs as well as come up with climate solutions however we currently face hardware and scalability limitations in creating largescale and faulttolerant quantum computers to address this challenge we have developed a new technology that integrates a cryocmos multiplexer for precise control of highquality silicon spin qubits as well as commercialready nanometerscale cmos processes to create and accommodate millions of such qubits our technology operates at relatively high temperatures resulting in a smaller carbon footprint and more compact form factor this will make it a practical and energy efficient solution for easy and sustainable deployment our goal is to build a fullstack quantum computer demonstrator using sqts breakthrough high quality si spin qubit cryocmos multiplexer technology and qbxs extensive gate model quantum computing characterization control experience the final demonstrator system will be a significant step forward in the development scalable faulttolerant quantum computers that require millions of qubits
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evaluation of the quality of experience of cochlear implant users listening to live music performances through augmented reality
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hardofhearing hoh individuals are greatly limited in their interpersonal communications leading them to social isolation and loneliness to mitigate the communication gap cochlear implants ci were invented to improve speech intelligibility however music perception remains severely distorted due to its innate complex acoustical properties since music is a ubiquitous means for sociocultural interactions the inability to listen to it significantly degrades the quality of life of ci usersarm4ci aims to enable ci users to perceive and appreciate music holistically through augmented reality ar its objectives include organizing a database containing multimodal data of live music performances utilizing the database to implement an intelligent system that transforms music that will be more perceivable by ci users and integrating it into an ar system for evaluation of the quality of experience qoe of ci users arm4ci has the potential to impact the scientific community by providing a database that enables the development of machine learning algorithms the ci users by improving their quality of experience in music consumption and the music industry by introducing a new paradigm of listening to live music through ararm4ci will be implemented in university college dublin under the supervision of dr andrew hines through this project a twoway transfer of knowledge is achieved since it combines my experience in multimodal data gathering and analysis of music performances dr hines experience in designing algorithms to improve speech intelligibility for hoh individuals and ucds capacity to host ardriven research the fellowship is a timely opportunity for me to achieve my career goals of securing a tenure faculty position and setting up my own research laboratory for music technology in the future
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microfluidic platform for analyzing sperm flagellar beating in a chemical gradient
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microbeach aims to exploit the biomimetic approach to unravel harmonized spermatozoa beating that favors natural fertilization biochemical stimuli in follicular fluid ff are pivotal in guiding sperm cells for their traversal through the cumulusoocyte complex ff contains peptides proteins steroid hormones polysaccharides metabolites antioxidants and reactive oxygen species despite some preliminary investigations and the potential advantages afforded by microfluidics approaches a noticeable dearth exists in the unraveling mechanism of spermatozoa beating microbeach intends to explore the fundamental beating contributions in sperm cell migration this will be the first study exploiting computer vision and artificial intelligence approaches to obtain the natural beating behaviors of sperm cells we believe that the successful accomplishment of microbeach will establish the foundation of novel parameters for quality sperm selection in application to assisted reproduction where identifying specific beating patterns will advance the outcomes of the practices
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