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dualchannel paperbased electroanalytical platform for multiple myeloma care
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multiple myeloma mm is an aggressive type of cancer of plasma cells where fast diagnosis and treatment monitoring is vital especially given the overall low survival rate proteasome a multicatalytic complex essential in damaged protein degradation has been recently established as a biomarker for mm in which elevated levels have been observed in blood plasma of unhealthy individuals as well as its impaired activity has been target for treatment alongside regular chemotherapy padmme addresses increasing contributions on proteasome electrochemical recognition and aims to develop novel interdisciplinary technologies translatable into poct systems for mm care for this we propose the development of sensitive and selective dualchannel platforms comprising conductive polymeric fiber biosensors integrated on paperbased microfluidic supports to simultaneously detect quantity and specific activity of proteasome in blood plasma paper supports ensure disposability and ease of commercialization whilst incorporation of microfluidic paths allows low sample volume requirements and in situ pretreatment steps conductive polymeric fiber scaffolds provide increased signal resolution for the construction of biosensors necessary for the recognition of low concentrations of the biomarker then investigating proteasome at the dualchannel platform in drugtreated and untreated mm cell lines will demonstrate how changes in quantity and specific activity are specifically linked to the disease dynamics the last step will comprise validation of the technology for analysis in blood plasma technology able to improve overall monitoring of mm disease progression and therapeutic efficiency crucial to overcome delays in treatment due to drug resistance complications training through research will allow me to refine my expertise creativity and innovative potential on smart biosensor technologies translated into pointofcare testing devices for cancer care and drug assessment
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interindividual variability in the structural and functional organization of human visual cortex
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our brains are equipped with extraordinary degrees of structure typically found in similar cortical locations and with similar topography across individuals indicating a common architectural design of sensory information representation despite the striking similarity of this topographic organization across people recent investigations have revealed compelling evidence of interindividual differences in the topography of early visual areas retinotopic maps as well as the size and spatial location of higherorder visual areas challenging the notion of consistent mapping even at the earliest cortical processing stages revealing what factors determine interindividual differences in retinotopic maps and functionally selective clusters promises a pathway toward understanding why our visual system is organized the way it is through invision i will determine the biological basis and experiential processes underlying interindividual variability in the functional organization of the human visual cortex and their functional significance for visual behavior i will achieve these goals by expanding my skill set to cover varied magnetic resonance imaging modalities and behavioral data analyses under the supervision of prof martin hebart a renowned researcher in vision sciences and particularly wellknown for developing and utilizing largescale functional datasets for understanding human visual perception with additional support from dr evgeniya kirilina with expertise in the analysis of diffusionweighted imaging data by expanding my theoretical knowledge in vision sciences through oneonone training with prof hebart i aim to become an independent vision scientist with deep knowledge of human vision at the structural functional computational and behavioral levels
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democratising research and restoration of audiovisual media and film dreamfilm practices and methods to improve the accessibility to restoration and promote competency exchange
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today only a small part of the analogue audiovisual collections has been digitised and workflows and digitisation practices are carried out mainly in institutional centres at a national level this situation leads to the question is online audiovisual content truly representative of european and global film historythe dreamfilm democratising research and restoration of audiovisual media and film project aims to develop alternative approaches to film digitisation restoration and quality assessment based on the experience of wellestablished institutional archives and smaller noninstitutional centres to make those actions more democratic and inclusive by reducing restoration costs in time and resources as a result more accessible and adaptable digitisation practices and restoration software will be generated promoting research and knowledgeexchange with strategical dissemination and communication actions the main strength of this project is the interdisciplinarity and the mutual knowledge exchange between archives and research centres of humanistic and scientific faculties the network involving those centres will be a base for developing more suitable practices and education plans to make film restoration practices available in institutions based in underrepresented countries and smaller noninstitutional archives
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functional optoacoustics for imaging early onset of gut inflammation
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the aim of this project is to functionalize contrast agents for multispectral optoacoustic tomography msot a molecular sensitive ultrasound imaging technique to develop a new targeted imaging approach for the early localisation of inflammatory processesinflammatory processes in the gastrointestinal tract often act like a trojan horse while camouflaging themselves with diffuse clinical symptoms they may rapidly progress into lifethreatening complications to date it has been difficult to precisely localize them in their early stages and their detection remains the domain of invasive endoscopy the invasive nature of this method not only restricts its use for early disease detection but is a major limitation for repetitive or highrisk applications msot uses laser light excitation and ultrasound detection to resolve different chromophores such as haemoglobin lipids and other metabolic parameters at depths of several centimetres while we were using the response from endogenous chromophores for translational to a range of potential clinical applications we discovered that dyes delivered via the oral route enable the dynamic visualization of the entire intestinal tract this molecularsensitive approach has the advantage that such contrast agents are not absorbed systemically and undergo excretion largely unchanged based on this i hypothesize that it is possible to functionalize such contrast agents in order to put a molecular flag on inflamed areas in the gastrointestinal tract after characterizing potential imaging targets in the intestinal lumen and developing imaging agents we will take a translational research approach moving from cells through small and large experimental animal models back to the human system this research at the frontiers of medicine and physics may pave the way to noninvasive early detection and personalized treatment strategies while minimizing the procedural risk for affected patients
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trustworthy efficient ai for cloudedge computing
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manolo will deliver a complete stack of trustworthy algorithms and tools to help ai systems reach better efficiency and seamless optimization in their operations resources and data required to train deploy and run highquality and lighter ai models in both centralised and cloudedge distributed environments it will push the state of the art in the development of a collection of complementary algorithms for training understanding compressing and optimising machine learning models by advancing research in the areas of model compression metalearning fewshot learning domain adaptation frugal neural network search and growth and neuromorphic models novel dynamic algorithms for dataenergy efficient and policycompliance allocation of ai tasks to assets and resources in the cloudedge continuum will be designed allowing for trustworthy widespread deployment to support these activities a data management framework for distributed tracking of assets and their provenance data models algorithms and a benchmark system to monitor evaluate and compare new ai algorithms and model deployments will be developed trustworthiness evaluation mechanisms will be embedded at its core for explainability robustness and security of models while using the zinspection methodology for trustworthyai assesment helping ai systems conform to the new ai act regulation manolo will be deployed as a toolset and tested in lab environments via use cases with different distributed ai paradigms within cloudedge continuum settings it will be validated in verticals such as health manufacturing and telecommunications aligned with adra identified market opportunities and with a granular set of embedded devices covering robotics smartphones iot as well as using neuromorphic chips manolo will integrate with ongoing projects at eu level developing the next operating system for cloudedge continuum while promoting its sustainability via the aiondemand platform and eu portals
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european partnership on radioactive waste management 2
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our visionwith the european joint programme on radioactive waste management eurad1 a step change in european collaboration was envisaged towards safe radioactive waste management rwm covering all phases including predisposal and disposal through the development of a robust and sustained science technology and knowledge management programme that supports timely implementation of rwm activities and serves to foster mutual understanding and trust between joint programme participantseurad2 builds upon eurad1 and predis to further implement a joint strategic programme of research development and knowledge management activities at the european level bringing together and complementing eu member states programmes in order to ensure cutting edge knowledge creation and preservation in view of delivering safe responsible and publicly acceptable solutions for the management of radioactive waste throughout all programme phases from cradle to grave across europe now and in the futureeurad2 will support the implementation of the waste directive in eu member states taking into account the various stages of advancement of national programmes the differences in capabilities and inventories the main goals are tosupport member states in developing and implementing their national rdd programmes for the safe longterm management of their full range of different types of radioactive waste through participation in the rwm joint programmedevelop and consolidate existing knowledge for the safe start of operation of the first geological disposal facilities for spent fuel highlevel waste and other longlived radioactive waste and supporting optimization linked with the stepwise implementation of geological disposal facilitiesbuilding on the achievements of eurad1 and predis maintain a knowledge management system that enhances transfer of knowledge between organisations member states and generations
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developing roles for phosphates outside of biology a systems chemistry approach towards abiotic phosphate fuels
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phosphates and phosphate esters underpin biological information transfer signal transduction and contribute to the energetics of life biochemical fuels that include phosphates atp gtp drive selective processes by incorporating chemical information a vs g in their fuel structure despite the multifaceted role of phosphates in biology their use in supramolecular systems chemistry remains largely underexplored phosphotosuprachem develops roles for phosphates outside of biology and capitalizes on the idea of providing chemical information within abiotic phosphate fuels to control selectivity and reactivity in the context of fueldriven structure formation the information is provided by chemical functionalization of energyrich phosphate fuels whereby the information encode structural assembly of fuels prior to their consumption or transfer large chemical groups onto selfassembling species during energy transfer specific aims are i understand the chemical design space for phosphate fuel selfassembly and how such structures control selectivity and reactivity when transferring the energy for the formation of transient assemblies ii construct fuels capable of transferring structural information enabling folding and chimeric dissipative selfassemblyiii promote wastedriven fuel formation substrate release and peptide bond formationv involve fuels in automated synthesis for microfluidics materials discoveryphosphotosuprachem pioneers an unexplored area of science at the roots of dissipative systems and phosphatedriven systems chemistry this strategy profoundly contrasts the present nonequilibrium selfassembly research featuring fuelling with molecules that lack structural and recognition elements in the long term fabricating biocompatible dissipative systems and developing automated platforms that guide fuels to specific functions will be a decisive step toward creating dynamic assemblies in vivo and programming active soft matter
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timedelay photoionization of coreorbitals in the molecular frame
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the recent development of broadband coherent extreme ultraviolet sources makes it possible to measure dynamics with attosecond resolution 1 attosecond 1018 s this time scale is associated with the electron dynamics and more particularly to the electronic correlation in various systems from atoms and molecules to solids generating and controlling processes on this time scale then gives the opportunity to develop new promising applications in chemistry and biology that can have high impact in societytdpicomf aims at studying electronic correlation through the measurement of the photoemission delay of coreorbital electrons in a lasercontrolled molecular system for this purpose tdpicomf brings together advanced technologies from the attosecond interferometry field and laserinduced alignment field in order to resolve both spatially and temporally the photoemission processin particular the research project proposes to study as a prototype the photoemission from the 4d coreorbitals of the iodine atom in iodine monochloride icl molecules in gas phase the measurements will be realized during different laser controlled configurations of the molecular system eg during its alignment orientation and dissociation the expected impact is to gain a global picture of the influence of the molecular cationic potential during a chemical reaction and to evidence the role of electronic correlation through the measurement of 3dscattering phase maps in the molecular frametdpicomf will utilize existing and forge new international collaborations between experiment theory and academia in order to tackle this complex problematic the results of our work will be made globally available and presented to the general public the post doctoral fellow will bring to the host his expertise on laser control of molecular systems and will be trained to the attosecond science and technologies enlarging his scientific experience and employability
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european training network for developing smart neuromonitoring solutions to support precision medicine in acute central nervous injury
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in traumatic brainspinal cord injury and stroke major causes of death and disability progress has come from monitored intensive care and swift action upon detection of secondary insults although it is possible to monitor intracranial pressure the brain spinal cord still behave as a black box current measurable signals only roughly represent ongoing pathophysiological processes and dynamic insults eg impaired autoregulation and neurovascular unit dysfunction cannot be reliably monitored as a result no therapeutic action has been shown to be beneficial in randomized patient trials the project goal is to prepare novel dynamic insult monitoring technologies and to develop improved decision support by integrating disease models and insulttreatment ontologies into smart multimodality monitor software a parallel goal is to unite high level expertise in clinical biomedical statistical and engineering sciences into one network to boost the next generation of researchers to substantially advance the field of neuromonitoring the network includes 3 relevant animal models and access to large multicenter patient databases with injury treatment outcome data eg centertbi direct autoregulation visualization in the cranial window piglet model will be elaborated to improve circulation models and relations with measurable high resolution signals to develop a realtime autoregulation monitor these metrics will be associated with spreading depolarizations vasospasm ischemia and brain function in the rodent stroke models the models and monitor technology are highly transferrable to patient care patient data will be used to build multidimensional statistical disease models insult and treatment ontologies will be developed in parallel with insult prediction and insult burden visualization concepts smart monitor platforms that aid precision medicine in acute central nervous system injury close to trials and future innovation leaders are expected results
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pathogens of algae for biocontrol and biosecurity
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algae play an important role in water ecosystems and our future increasingly depends on the presence of both desirable and undesirable algae desirable algae are for example seaweeds that we consume use for biofuels pharmaceuticals and cosmetics whereas undesirable algae can form harmful algal blooms habs that can alter the quality of water with dramatic consequences for wild and farmed fish and shellfish as well as our supply of drinking water micro and macroalgae are vulnerable to many diseases the presence of pathogens and their potential spread to nonnative areas can significantly hinder seaweed production likewise microscopic algae ie cyanobacteria diatoms and dinoflagellates that can form habs are also vulnerable to many pathogens there are a wide range of microorganisms including fungal oomycete protist bacterial and viral agents that can all reduce fitness or kill algae therefore the central research aim that links all 10 training projects in phabb is to exploit the infection strategies of algal pathogens to either fight diseases that they cause in seaweeds or to harness these infection tactics to combat harmful algal blooms to achieve this goal phabb brings together an exceptional combination of researchers in europe from both academia and smes that have unique expertise to train and mentor 10 early career researchers in understanding biological and evolutionary processes linked to microbial community dynamics virulence and host specificity of a range of pathogens of both desirable algae as well as undesirable algae the overall aim is to develop new disease management strategies in seaweeds and biocontrol measures of habs with the help of natural pathogens the esrs in phabb will gain broad interdisciplinary skills plus a translational mindset through our integrated and intersectoral training programme and will secure continued vital research on biocontrol of habs and biosecurity of seaweeds in europe
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uncovering the creative process from inception to reception of translated content using machine translation
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the new machine translation paradigm neural machine translation has drastically changed societys perception of technology and the act of translation it has also motivated a series of claims by research labs and the media implying that machines will soon decode the transfer of one language to another thus driving professional translators out of their jobs creative content producers such as streaming platforms or publishing houses are now exploring testing or using neural machine translation yet little is known of the constraints this technology poses to translators creative process and how such constraints impact the users the need to understand this has become essential to sustain translation richness translators job satisfaction authors and directors reputations and the user experienceincrec aims to uncover the creative stages of professional translators to understand how technology can be best applied to the translation of literary and audiovisual texts and to analyse the impact of these processes on readers and viewers the research project is articulated in four work packages that cover two broad areas inception and reception of literary and audiovisual translation to better understand this complex process increc triangulates data from eyetracking retrospective thinkaloud interviews translated material and questionnaires from professional translators and usersthus increc develops a new theoretical framework that encompasses a creative stages in translation b classification and mapping of translation problems which require a higher level of creativity and cognition as well as a classification of the solutions to these problems c understanding how machine translation is most effectively used during this creative process and d understanding user attention to creativity in translated literary texts and films this is achieved using a new combination of methods from different disciplines
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mribased id of the vasculature across the heartbrain axis
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microvascular impairment is a hallmark of many of todays most burdening diseases including forms of ischemic heart disease stroke and dementia it is also the most promising candidate to explain the link between cardiovascular and brain disease socalled heartbrain axis however only histology provides comprehensive assessment of the microvasculature and is rarely available in vivo as it requires invasive biopsy the lack of early noninvasive markers limits our pathophysiological understanding and crucially affects treatment success as preventive intervention is the only successful clinical management strategy availablewith a major leap in magnetic resonance imaging mri physics i will address this need and develop vascularid a fully noninvasive toolset for the quantitative assessment of cardiac and cerebral microvasculature this noninvasive biopsy exploits microscopic magnetic fields around the vessels to obtain structural information about the microvasculature it is contrastfree and resilient against field inhomogeneities and can for the first time be used in both the heart and the brain combined with a new generation of noncontrast perfusion mri vascularid will provide comprehensive functional and structural informationmy approach will first be validated in a microprinted 3d model of the vasculature in vivo feasibility will be demonstrated in an animal model proofofprinciple studies with vascularid in a cohort of patients suffering from heart disease and a cohort of patients with cerebral small vessel disease will demonstrate the clinical feasibilityi will develop validate and disseminate vascularid for research and clinical use to enable groundbreaking insights into the smallest blood vessels these insights are perfectly poised to provide the missing key to the vascular underpinnings of diseases that form the major burden to our health care system in the years to come
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spikezip a retinomorphic encoding method for lowlatency and lossless data compression and telemetry of largescale invivo neural recordings
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invivo neural recording and transmission of a vast number of neurons is essential in comprehending the brain and nervous system however the core challenge in the field of highchannelcount invivo neural recording is the limitation in transferring data posed by the bandwidth and energy consumption which currently lacks a viable telemetry solution to effectively address this challenge this poc project introduces a novel retinomorphic encoding method spikezip which offers several advantages over existing approaches for processing neural data such as low information loss minimal latency and reduced hardware overhead the technical advances demonstrated in this project will have significant impacts on various applications areas such as neuroscience research with freemoving small animals lowlatency closedloop neuromodulation implantable braincomputer interfaces and cognitive prosthetics the proposed method has the potential to revolutionize the way we record and process neural data enabling us to better understand the brains cognitive functions and develop new therapies for various neurological disorders this poc project will develop a robust demonstration system and rigorously validate it in small animal studies with settings that can be effectively applied and translated across a diverse range of neuroscience and neurotherapeutic applications spikezip will develop a gotomarket strategy that highlights the technologys unique features and benefits with a focus on ip and licensing opportunities and engaging with industry partners to identify promising commercialization opportunities
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costeffective production of lignin platform chemicals extending the biobased chemicals portfolio
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europes ambitious sustainability and climate goals are heavily relying on the transition from fossilbased to biobased chemical building blocks lignin as abundant natural resource has substantial potential to serve as starting material for the production of functionalized aromatic compounds only 12 of the lignin annual production is used in chemical conversion critical challenge to overcome is the heterogeneous and complex nature hampering the full exploitation of isolated lignins to address this challenge countless will demonstrate the first catalytic hydrogenolysis process operated in continuous mode at industrially relevant scale for the costeffective and sustainable production of ligninbased platform chemicals countless will demonstrate the applicability and costeffectiveness of ligninbased platform chemicals in a variety of enduse cases from bulk to specialty applications this project is formed by key partners covering the whole value chain including feedstock suppliers technology development experts wellrecognized industry players in the respective application fields experts in dissemination communication and exploitation and experts in integrated sustainability environmental and technoeconomic assessments revenue streams will result from licensing agreements and an increase in turnover and margin for countless suppliers and application partners we anticipate a positive npv and irr in 15 years of operation countless contributes directly to the cbeju sira and kpis through the increased use of sustainably sourced biomass reduction of ghg emissions through improvements in the pilot infrastructure 50 reduction in ghg emissions and 85 using fully renewable supply and the development of biobased highvalue products substituting current fossilbased compounds
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adaptive multidrug infusion control system for general anesthesia in major surgery
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a major challenge in anesthesia is to adapt the drug infusion rates from observed patient response to surgical stimuli the patient models are based on nominal population characteristic response and lack specific surgical effects in major surgery eg cardiac transplant obese patients modelling uncertainty stems from significant blood losses anomalous drug diffusion drug effect synergyantagonism anesthetichemodynamic interactions etc this complex optimisation problem requires superhuman abilities of the anesthesiologist computer controlled anesthesia holds the answer to be the game changer for best surgery outcomes although few clinical studies report that computer based anesthesia for one or two drugs outperforms manual management in reality clinical practice mitigates a multidrug optimization problem while accommodating large patient model uncertainty the anesthesiologist makes decisions based on future surgeon actions and expected patient response this is a predictive control strategy a mature methodology in systems and control engineering with potential to faster recovery times and lower risk of complications the goal of this proposal is to advance the scope and clinical use of computer based constrained optimization of multidrug infusion rates for anesthesia with strong effects on hemodynamics i plan to identify multivariable models and minimize the large uncertainties in patient response with adaptation mechanisms from nominal to individual patient models we design multivariable optimal predictive control methodologies to manage strongly coupled dynamics to maximize performance of the closed loop we model the surgical stimulus as a known disturbance signal and additional bolus infusions from anesthesiologist as known inputs i am convinced that integration of human expertise with computer optimization is a successful solution for breakthrough into clinical practice
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aerospace districts acceleration of the strategic transfer of regional advancements
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adastra aerospace districts acceleration of the strategic transfer of regional advancements is a project about the positive interconnection among innovation ecosystems with a focus on aerospace sectorsthe proposal aims at the development of a connected competitive interregional innovation ecosystem between 5 eu regions toulouse south holland madrid apulia emiliaromagna with a shared interest in fostering aerospace sectors enhancing the crosscontamination to and from other innovative sectors eg automotive biomedical agrifood big data different innovation readiness levels aerospace districts with different levels of maturity and consolidation diversity generates wealth the collaboration of these markedly diverse regions furthermore represented by partners from different spheres of the quadruplehelix will be a growth opportunity the establishment of a solid and longlasting collaborative eu network able to exploit complementary skills experiences territorial and industrial vocations will contribute to create a critical mass in eu strategic sectors such as innovation and aerospace where global competition leads to a confrontation with actors of increasing size and requires innovative models and approachesthis ambitious goal will be achieved through an iterative process starting from the collection analysis and systematization of the experiences competencies technologies networks of the partner regions with reference to their aerospace districts analyzing the future evolutions of the ecosystems in response to technological economic political and social megatrends correcting or validating hypotheses and evolution models with the support of stakeholder groups defining an action plan for the development of each of the regional aerospace ecosystems valuing experiences and good practices stemming from other regions and strengthening spinin and spinout processes to and from other industrial sector and territories
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molecular dissection of viral genomes for future antiviral treatments
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viruses are obligate pathogens with massive impact on global health nearly all currently marketed antiviral drugs target viral enzymes we hypothesize that hitherto unrecognized virusencoded transmembrane proteins may prove valuable as pharmaceutical targetsthrough a systematic dissection of viral genomes wp1 we will identify potential transmembrane segments in a defined workflow we will predict their function in silico wp2 as being either a internalizing transmembrane proteins or b ion channels segments showing promising transmembrane andor internalization motifs will be expressed functionally characterized and evaluated in proofofmodality assays wp3 the newly identified internalizing proteins may transfer a molecular trojan horse a toxin payload into infected cells which will be tested with a generic fusiontoxin protein mode a while the potential viral ion channels viroporins will be tested for their ability to mediate a current via formation of ion pores mode b in wp4 the internalizing transmembrane proteins passing the wp13 attrition will be utilized for initial drug discovery and fusiontoxin protein design through cointernalization with the viral transmembrane protein the toxins may prevent longterm pathologies by eradicating the virus the novel viroporins will be screened for inhibition using ion channel drugs regulatory approved for other purposes this ensures fast access to the market through drug repurposing allowing for prevention and treatment of acute virus pathologythis project on new ground entails high risk yet also creates opportunities of enormous gain considering the huge unmet medical needs for effective and specific antiviral therapeutics however the biggest gain is the potential for groundbreaking discoveries regarding virally encoded transmembrane proteins thereby bridging basic virology and molecular pharmacology with structural biology and early drug discovery in a highly innovative manner
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threedimensional imaging of selective particle storage in nanocapillaries
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precise manipulation of colloidal particles is essential to foster nanotechnology applications in chemistry materials biology and devices fundamental insights into their dispersion assembly and reactivity enable precise engineering of advanced materials and the development of innovative nanoscale devices thus revolutionizing fields ranging from catalysis to electronics for instance colloidal particles with antagonistic electrophoresis dep properties can be selectively inserted into a nanocapillary when considering nanoparticles as carriers of data in a medium like water arranging them in a specific sequence in the nanocapillary enables data storage the feasibility of this particle storage relies on the ability to visualize and manipulate the nanoscale motions of the nanoparticles one of the most sensitive and accurate ways to track particle movement is by monitoring individual particle fluorescence in optical microscopes which is crucial for noninvasive imaging of particles in any colloidal environment spsnano aims to develop a threedimensional dynamical imaging method to track and understand the controlled motion of nanoparticles using dielectrophoresis this colloidal data storage is an alternative to current stateoftheart solidstate devices which have fundamental limits to the scaling potential hindering the way to costeffective memories spsnano lays the foundation of colloidal data storage technology which can enable lowcost highdensity memory by reducing the particle size and increasing the nanocapillary aspect ratios in the future
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bringing financial support to innovation and portfolio activities increasing impact of eicsupported research
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boost project aims to ease the access of eic awardees mainly eic pathfinder and eic transition projects as well as related third parties to the eic booster grants boost project will distribute eic booster grants lumpsum grants to finance innovation and portfolio activities to at least 100 invited eic awardees the booster grant projects will receive up to 50000 following a firstcome firstserved schema boost project will also provide the eic and eismea with data relevant to assessing the impact of such support boost project will do this by guaranteeing efficient and ecrules compliant governance adequate integration of eic booster grants within the eic community support and eiceismea portfolio management activities and gathering operative and impact data that will support evidencebased decisionmaking by the eic and eismeato ensure effective task execution and maximize available resources boost project utilizes a compact and agile consortium this allows up to 83 of the total budget to be allocated to eic awardees the consortium includes spl entity specialised in cascade funding as call for proposals manager mwcb especialised in tech transfer as booster grant projects manager eura pt as monitoring and impact manager all of them coordinated by fba as project coordinator and fstp manager this streamlined consortium will rely on a highquality curated database of over 820 experts who regularly collaborate with the partners to support the evaluation and assessment of booster grant projects all this ensuring a seamless connection with eic procedures and practices as all partners are actively involved in eic projects
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novel concept of a low cost high power density and highly efficient recyclable motor for next generation mass produced electric vehicles
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heft considers that an energy efficient rareearth synchronous motor is the best option for next generation highpower primary axle traction evs and proposes a set of innovation challenges on electric synchronous motor configuration based on sic inverters direct cooling of rotor and stator advance insulation for high voltage multibarrier rotor topology wave windings and advanced materials advanced gbd magnets epoxy for magnet fixation composite for motor housing insulation resinthese innovations will result in a highefficient and lowcost solution that will be validated on 2 motor topologies which compared to two main reference automotive ipm commercial motors in europe vw id3 and fiat500 will lead to next impacts 800v 20 reduction losses 7 kwkg and 42kwl power density 28 cheaper 5066 material savings including 60 reduction of ree content and 80 ree recyclability rateas this solution is still dependent on ree from china heft will be aligned with the erma action plan towards a circular economy market of rare earth permanent magnets and suggests one alternative magnet route ce based and two ree recycled routes together with policies promotion towards the foundation of a european rare earths industry capable of delivering 20 of eu demand by 2030heft plans 8 wps to implement these concepts where 5 research partners will be essential for developing innovative ideas around the designtox approach while strong companies gkn magneti vyncolit will ensure that heft results have a clear market orientation and fulfil the industry needsheft plans to organise oem workshops to ensure wide adoption of heft solutions but also with policymakers to promote regulations towards the eu circular market that would help maintaining the leadership of eu companies while increasing their competitiveness and job opportunities linked to the new circular business models
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tunnel ionization in threedimensional tailored light fields
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tunneling is a nonresonant quantum mechanical process without any classical analog the electric field of a strong laser pulse can bend atomic and molecular potentials such that an electron can be liberated via tunneling this allows for probing properties of atomic and molecular orbitals with subnanometer and attosecond resolution like a tunneling microscopes tip probes properties of the investigated surface so far the electric field vector is restricted to a onedimensional line 1d eg linearly polarized light or a twodimensional plane 2d eg circularly polarized light since tunneling acts like a filter to the same 1d or 2d subspace in position space this limits the sensitivity to the 3d structure of the probed orbital i propose to build an experimental setup that can synthesize 3dimensional 3d light fields with peak intensities of up to 1015 wcm2 3d light fields will significantly increase the sensitivity of strong field tunneling to the 3d properties of the bound electronic wave function further nonadiabatic dynamics during tunneling and subsequent acceleration recollision or recapture of the electronic wave packet will be driven by the timedependent 3d field as well this will eg allow for the creation of chiral electron distributions in atoms ie chiral atoms selectively tunnel ionize one enantiomer of a racemic mixture of chiral molecules and enable a new type of pumpprobe experiments the capability to generate 3d light fields will be matched with a 3d detection system which measures 3d electron momenta in coincidence with ionic fragments my team and i will use this novel 3dlight3ddetectionplatform to investigate tunnel ionization from atoms diatomic molecules and chiral molecules i anticipate that the proposed experiments will give rise to a new class of experiments on lightmatter interaction and provide groundbreaking insight regarding the quantum mechanical process of tunneling itself
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reading dna in real time for medical applications
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the aim of this project is to use an ultrafast high throughput method for analysing dna single molecules for liquid biopsy and other biomedical applications the proposed methodology laserassisted dna optical mapping ladom allows retrieving the barcode of single molecules of dna in real time as they flow through a nanochannel in a fluidic device it combines a cheap device fabrication flexible dna labelling customizable for different applications microscope and camerafree set up a readout sensitive to single molecules very high throughput tens of molecules per minute ability to detect very small fragments and no limitation for the maximum molecules length what is especially interesting for applications dealing with ultralong intact genomic dna in this project we request funding to offer a service to analyze samples from possible stakeholders from the biomedical sector and to standardize the technology and improve the troughput bthe aim of this project is to use an ultrafast high throughput method for analysing dna single molecules for liquid biopsy and other biomedical applications the proposed methodology laserassisted dna optical mapping ladom allows retrieving the barcode of single molecules of dna in real time as they flow through a nanochannel in a fluidic device it combines a cheap device fabrication flexible dna labelling customizable for different applications microscope and camerafree set up a readout sensitive to single molecules very high throughput tens of molecules per minute ability to detect very small fragments and no limitation for the maximum molecules length what is especially interesting for applications dealing with ultralong intact genomic dna in this project we request funding to offer a service to analyze samples from possible stakeholders from the biomedical sector and to standardize the technology and improve the troughput by developing a software to automate the data analysis
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dissecting the molecular mechanisms of transgenerational epigenetic inheritance
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small rnas have a remarkable regulatory role in most eukaryotes these molecules bind to argonaute proteins ago and form a complex that recognizes its mrna targets by sequence complementarity the regulatory role is driven by the catalytic activity of ago but not exclusively in several organisms ago recruits other factors to perform the silencing remarkably during transcriptional gene silencing the small rnaago complex engages factors that interfere with transcription but also proteins that modify the dna and the chromatin at the targeted loci this phenomenon has been observed in plants yeast flies and worms particularly in the nematode caenorhabditis elegans this silencing regulation can be triggered and inherited by the next generations this reveals the importance of small rnas and chromatin modifications for transmitting nongenetic information and maintaining germline stability across generationsseveral factors required for epigenetic inheritance have been identified by genetic screens in the worms the nuclear argonaute hrde1 is expressed in the gonad and is a key component of this pathway still what are the hrde1associated factors required for transgenerational transcriptional silencing are not fully understood this proposal aims to address what are the factors participating in the different stages of silencing mediated by hrde1 establishment inheritance and maintenance to answer these questions i will employ strains that allow the inducible depletion of the factors involved in the silencing response i will combine these tools with encompassing genomics and proteomic approaches to investigate the changes across generations this proposal will unveil the molecular mechanisms of transgenerational epigenetic inheritance moreover this study will be instrumental for the study of these responses in other organisms especially other nematodes with potential applications to health and ecology
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detecting the worlds most accurate field boundaries
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digifarm detects the worlds most accurate field boundaries and seeded acres to power precision agriculture leveraging the latest advancements in artificial intelligence technology and superresolution of satellite data our object detection algorithm achieves higher accuracy than the human eye resulting in 1215 higher accuracy than existing solutions
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understanding the language of life identifying and characterizing the language units in protein sequences
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proteins play a key role in biological processes that govern and maintain life although they are threedimensional entities they can be represented in textual form as sequences of amino acids that largely determine their structures and functions by analogy with natural human languages we can consider proteins as written with a language which we refer to in this proposal as the language of life natural languages can be read and understood by humans however we cannot yet understand the language of life we do not even know what the vocabulary is ie what the basic language units are analogous to words in human languages textual representation of proteins has enabled the application of natural language processing nlp techniques to the study of proteins and breakthrough results have been achieved in various downstream tasks such as protein structure prediction however these efforts remain only at the processing level of the language of life the main goal of this project is to go beyond the level of language processing and open new research horizons for understanding the language of life using my expertise in nlp and bioinformatics i will pursue the following objectives i develop innovative methods to determine the language units ie the vocabulary of the language of life
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addressing priorities of evaluated nuclear data in europe
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the conception development optimization and safety evaluation of a broad range of nuclear energy fission and fusion and nonenergy applications radiation protection radionuclide production health geosciences space research security and industry require reliable and accurate simulation tools such tools critically rely on accurate nuclear decay and reaction data aprende has the ambition to improve nuclear data for modelling and simulation ms tools used by european stakeholders in the application areas of the european union and its member states that currently have the highest priority the priority application areas identified by stakeholders of nuclear data and by national european and international projects and consultations area all aspects of spent nuclear fuel snfb reactor operational characteristics such as reactivity versus burnup transients and marginsc advanced reactor and fuel cycle development including small modular reactors smr and geniv systems based on lead and sodium coolants molten salts or an accelerator like myrrhad criticality safety and shielding for safety assessments and safety assessment methodologiese nonenergy applications radiation protectionthis ambition requires a comprehensive approach involving the eight objectives stated above and a methodology and impact pathway as detailed below the combination of this ambition objectives methodology and our pathway to create impact is what the proposers believe to be not only the best but also an excellent response to the horizoneuratom2023nrt0106 call improved nuclear data for the safety of energy and nonenergy applications of ionising radiation in the following we break down and explain our ambition by each of the priority application areas
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a quantitative risk assessment for fragmental rockfall
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climate trends indicate that rockfall events due to global warming effects are expected to increase underlining the urgency for accurate rockfall risk assessment public administrations and private owners often face difficulties in defining risk management plans priority of interventions and allocating resources for mitigation worksridetherisk project aims at improving the knowledge and predictability of rockfall hazard and its consequences in mountain environment and open pit mines it will develop a new physicallybased method to simulate rockfall propagation accounting for rock block fragmentation and to quantify the damages in different contexts civil and mining to fill a knowledge gap in understanding and modelling fragmentation and its effects increasing awareness of its destructive potential the 3 projects objectives are1enhancing rockfall hazard prediction defining analytical solutions to predict fragmentation and implementing a physicalbased trajectory model for fragmental rockfall 2developing a fully timeintegrated quantitative risk assessment method qra for fragmental rockfall able to quantify social and economic damages on both viable infrastructures and open pit mine activities 3promoting the use of the developed qra method turning theory into practice applying it in two real contexts and realizing technical guidelines for experts proposing their adoption to policymakers and activity owners to properly manage the riskthe proposed method at present missing that quantifies the risk in terms of annual probability of death and delayinterruption time for traffic and working activities ie accounting for social and economic aspects respectively will undoubtedly help to face effectively and efficiently rockfall risk dissemination exploitation and communication are thus fundamental these objectives address the challenges of both the european climate pact and the european action plan on critical raw materials
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information frictions in hiring decisions
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over the last decades internet has sped up and increased interactions between employers and workers but aggregate unemployment does not seem to have been much impacted by this revolution this could be because information frictions are not a firstorder contributor of unemployment or because current tools and institutions do not enable truthful and effective communication between firms and workers employers who are often on the short side of the market find it difficult and costly to screen potential employees inashi aims to provide theoretical frameworks and new empirical evidence about what the remaining information imperfections on the labour market are how important they are to aggregate unemployment and unemployment of the most vulnerable segments of the labour market and what solutions can be put in place to improve the recruiting process inashi will combine novel data on how firms search for workers on large online job boards with administrative data on vacancies and matched employeremployee data it will also leverage a series of randomised controlled trials to test how the provision of new information to employers whether about candidates or about features of the market help them make better hiring decisions leading ultimately to higher aggregate hiring and higherquality matches three countries will be studied austria france and sweden so that inashi will provide evidence valid in a variety of contexts
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pervasive gas sensing using optical fibers as part of the communication network of the future
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using fibre sensor networks distributed information can be gathered even from places that are difficult or even impossible to be reached by other means however so far such distributed fibre sensing networks are not capable of providing access to distributed chemical information along the fibre in particular highly selective and sensitive information on the concentration of various gases along the fibre cannot be obtained on a routine basis despite being desirable and needed in many different application scenarios it is therefore tempting to explore the potential of integrating innovative optical gas sensing nodes along optical fibres towards their massive deployment in existing telecom infrastructures new developments in optical gas spectroscopy have opened up new prospects for remote gas sensing applications addressing the limitations of current analytical methods in terms of sensitivity easeofuse and miniaturization nevertheless there are important challenges to overcome before such a joint use of the fibers network for both communication and gas sensing becomes possiblegaspof addresses these challenges contributing to the development of the optical infrastructure of the future where the communications network also acts as a largescale distributed multiparameter sensor focus will be put on two different optical techniques for gas sensing using the fiberoptics network laserbased pts and lhr both techniques will be advanced and integrated with the existing optical fibers network infrastructure in parallel we will investigate the possibility of using coherent otdr for distributed gas sensing while a reducedcost approach for acoustic sensing will also be designed for measuring physical parameters of interest eg vibrations in addition to gas sensing the gaspof system configurations will demonstrate their performance and capabilities in important 4 application use cases
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a doubleedged sword extragalactic fast xray transients
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we will use extragalactic fast xray transients fxts to study binary neutron star bns mergers merging neutron stars are important for the formation of rprocess elements and provide standardizable signals allowing the hubble constant h0 to be measured maximizing the science output of these multimessenger events comparing bns mergers with and without an fxt signal provides a way to constrain the elusive equation of state of matter at supranuclear densities unlike the highly beamed short gammaray burst signal associated with bns mergers the fxt signal is isotropic providing us with the means to quickly localise the merger even for events out to the bns merger detection horizon of the 3rd generation of gw detectors such as einstein telescope or cosmic explorer a highrisk aspect is that the link between fxts and bnss is not yet 100 certain fxts manifest as singular short flashes of xray photons with durations ranging from minutes to hours the imminent launch of the allsky xray survey satellite einstein probe together with the recent deployment of premiere groundbased instrumentation will revolutionize this field by enabling the discovery and immediate followup of a statistically significant sample of more than a hundred bright fxts over the 3yr einstein probe mission duration complemented with a comprehensive study of the fxt host galaxies this will lead to a breakthrough in our understanding of fxts and enabling us to measure the yield of rprocess elements h0 and the maximum mass of a neutron star using bns mergers in addition to our main goals we expect serendipitous discoveries in this new research field
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philology as science in 19thcentury europe
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philology once defined what it meant to be scientific and it may yet once again increasingly a broad array of scholars using digital methods cite the historical accomplishments of philology as a model for systematic study around unwieldy and heterogenous textual corpuses despite this renewed interest there is still no systemic account for the huge range of activity and aegis data and networks that propelled philology to its status as a model or even the queen of science in c19 europe in drawing on history of science media studies information studies and diverse textual methods this project offers that holistic account of how and why philology as a science in the making achieved such extraordinary success it articulates the widely sought yet unachieved bridge that would permit rigorous interdisciplinary exchange between philology its historical and contemporary iterations and presentday endeavors in the fields of digital humanities critical data studies infrastructure studies and depostcolonial studies phisci takes philology seriously as a science and gives it the kind of treatment that has dominated history of science for the last generation pioneering a novel account of philology from the french revolution to first world war it pursues a central question how did local ensembles of protocols representation instrumentation and cooperation consolidate into robust programs for the genesis of stable knowledge and knowledge communities it gives special attention to heterogeneity and universality in key concepts and practices and to physical aspects like media and infrastructure elements undervalued or rarely grasped in terms of their epistemic work for producing data evidence and facts phisci will thus explain how philology operated as a relational system that in the diversity of its data and perpetual flux in its projects and personnel projected unity that enabled it to wield a scientific authority greater than the sum of its parts
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a calorimeter at atomic resolution
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molecular interactions are at the basis of all biological processes and often include specific interactions between macromolecules protein rna dna and smallmolecule ligands such as cofactors hormones drugs or metabolites detailed and quantitative knowledge of these interactions is critical for a molecular understanding of these biological processes and developing new therapeutic solutions a complete comprehension of molecular recognition requires a full characterization of the geometry and dynamics of the molecular complex this includes not only the internal dynamics of each partner but also the dynamics at the interface which to date remain mostly unexplored experimentallythe physical chemistry frame for studying intra and intermolecular interactions is thermodynamics the extent to which two molecules interact is dictated by the gibbs energy change g of the interactions which is composed of enthalpic h and entropic s termsxray crystallographic and nmr structures provide a detailed description of the static interactions associated with enthalpic contributions however up to now the entropic components remain difficult to address experimentallythe overarching goal of this proposal is to develop a calorimeter at atomic resolutionto achieve that goal a new nmr spectroscopy approach relying mainly on the nuclear overhauser effect will be developed it is anticipated that quantitative thermodynamic measurements within molecules and molecular complexes will open a new avenue in the fundamental understanding of how atomistic mechanisms create a functionbeyond the fundamental findings we foresee applications in translational medicine drug design and computerassisted molecular design
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health outcomes from raised urban settings
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ncds especially diabetes and cardiovascular diseases cvds are the leading causes of morbidity and mortality worldwide cvds kill more people globally than any other disease accounting for 179 million deaths per year diabetes on the other hand accounts for 2 million deaths annually these diseases have a greater impact on vulnerable populations this increased prevalence among this population is related to a range of social and environmental factors lifestyles and the impact of behavioural determinants lowincome communities such as migrants or ethnic minorities are still undertreated and unprotected by most of the healthcare systems with a lack of quality of care for ncds and a lack of preventive measures specifically adapted for themthus horus aims to tackle ncds especially diabetes and cvds in urban built environments among vulnerable populations mainly lowincome communities migrants and ethnic minorities in particular it has a twofold objective 1 first to analyse and explore in depth the causal links between the characteristics of the urban built environment and the prevalence of ncd risk behaviours in an integrated comprehensive and multiapproach manner horus will focus on existing urban interventions modifying the physicalsocial and functional characteristics of the built environment with a significant impact on the prevalence of risk behaviours and eventually ncd outcomes 2 and secondly to develop pilot interventions in three european countries spain croatia and the netherlands to promote behaviour change towards healthier lifestyles for empowering vulnerable populations and to support citizens in making optimal use of the urban environment they live in while reducing ncd risk behaviours especially those related to diabetes and cvds
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improving the living and labour conditions of irregularised migrant households in europe
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the project investigates the living and working conditions of irregularised migrant households in europe from an intersectional perspective it aims to reveal the spectrum of irregularity in contemporary europe and cast light on the everyday experiences of migrants with irregular unstable andor precarious legal statusiclaim develops the concept of irregularity assemblages to capture how migrants irregular condition is produced by the interplay of immigration and asylum laws policies and practice wider labour market and welfare regimes and political media and public narratives the irregular condition is shaped by migrants social position and positionality as well as by processes that occur at international european regional and local levelsthis approach will inform our theoretical understanding methodology and analytical framework and how the consortium organises its work moreover it enables us to design assess and validate detailed policy options and public interventions targeted at placespecific sectoral and intersectional criticalities and vulnerabilities experienced by a range of people in irregular situations in europeto achieve its overarching ambition we will engage at all stages of the project cycle with relevant european national local and sectoral actors in six countries finland germany italy the netherland poland and the uk through country stakeholder groups csg and a european stakeholder group eisg moreover we will organise a series of consultative and participatory initiatives to produce new knowledge inform public and political debate validate key research findings and design policy recommendations
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integrative science intelligent data platform for individualized lung cancer care with immunotherapy
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immunotherapy io is the new standard of care for many patients with advanced nonsmall cell lung cancer ansclc yet only around 3050 of treated patients benefit from io in the long term programmed deathligand 1 pdl1 remains the only biomarker used to predict patient outcome to io though its efficacy is limited other potential biomarkers have been identified yet not validated in prospective randomized clinical trials providing only partial evidence due to the dynamic complexity of the immune systemtumour microenvironment its interaction with the host and patient behaviour its unlikely for a single biomarker to accurately predict patient outcome artificial intelligence ai and machine learning ml frameworks that synthetize and correlate information from multiple sources are essential to develop powerful decisionmaking tools able to deal with this highly complex context and provide individualized predictions to improve patient outcomes reducing the economic burden of health care systems in nsclc the aim of the i3lung project is to develop such aibased tools to assist in improving survival and quality of life preventing undue toxicity and reducing treatment costs i3lung adopts a twopronged approach setting up a transnational platform of available data from 2000 patients in order to validate the ai models and generating a multiomics prospective data collection in 200 nsclc patients integrating diverse omic information then validate its usefulness in leading io therapeutic decisions a psychological study will help in defining the impact of aiguided decisions on patients eliciting their preference and physicians comparing ai with human intuition the final goal is the construction of a novel integrated aiassisted data storage and elaboration platform backed up by trustworthy explainable ai methodology ensuring its accessibility and ease of use by healthcare providers and patients alike
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breakthrough innovation programme for a paneuropean detection and imaging ecosystem phase1b
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the attract phase1b project delivers an important new angle to the already established and highly regarded attract model which created an european ecosystem for breakthrough detection imaging di technology development based on coinnovation the precursor h2020 attract phase1a and phase2 projects have already proven that in principle the development of breakthrough innovation from basic science towards market applications does not need to be a matter of chance it can lead to much faster results if managed and supported consistently through the creation of an trusted ecosystem between research academia industry and publicprivate investment communities in neither precursor projects however the attract consortium specified topics to be funded and opted for a bottom up approachin light of the societal challenges that europe faces the attract consortium now feels compelled to explore whether such approach remains valid or whether attract as an instrument can work equally well when an element of research predetermination is introduced in the attract phase1b project the predetermining factor is di for earth observation and monitoring as such technologies directly contribute to a better understanding of the dynamics of naturehuman interaction environmental changes and climate change the attract consortium will fund 30 breakthrough di concepts at 100000 each third party open call applicant consortia will have 12 months to investigate the scientific merits technical feasibility and potential gamechanging applicability potential of their concept up to trl level 35 technologies should be capable of collecting data physical chemical biological etc characteristics with high specificity and extreme sensitivity whilst offering high spatial and temporal resolution and massive parallelism they should be suitable for seamless integration into pervasive low cost and lowpower ict systems incl portable wearable iot
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neoantigen identification with dendritic cell reprogramming
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in cancer genetic mutations result in production of tumor neoantigens restrictively expressed in transformed cells and serve as ideal molecular targets for cancer vaccines and adoptive t cell therapies however available methods for the identification of clinically relevant neoantigens driving potent antitumor immunity are highly inefficient thus there is an urgent need for innovative solutions to identify powerful immunogenic neoantigens to unlock the full potential of immunotherapy and treat currently untreatable cancers the neoidc platform has the radical vision to use the type 1 conventional dendritic cell cdc1 reprogramming technology arising from the ercfunded project trojandc to directly identify highly immunogenic tumor neoantigens and neoantigenspecific t cell receptors tcrs for the development of powerful cancer vaccines and adoptive t cell therapies to achieve this we will firstly identify tumor peptides presented on mhc class i and ii by cdc1reprogrammed cancer cells and validate immunogenicity in vivo secondly we will expand neoantigenspecific t cells by coculture with reprogrammed cancer cells sequence tcrs and link to cognate neoantigens this will facilitate the generation of potent cancer vaccines and tumorreactive t cells for adoptive transfer experimental activities with collaborators and clinicians will be coupled with exploitation plans including partnership with asgard therapeutics ensuring commercialization by generation of novel ip broad and targeted dissemination and a new startup companyneoidc combines cdc1s antigen processing and presenting abilities with the unique mutational profile of cancer cells to enable the direct identification of immunogenic neoantigens and cognate tcrs ultimately this project will enable the development of the next generation of neoantigenbased vaccines and adoptive t cell therapies and will set the stage for a new era of safe personalized and effective cancer immunotherapies
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phaseresolved thzhiggs spectroscopy on superconductors
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thiggs develops higgs spectroscopy as novel tool to probe the order parameter in superconductors it will allow unprecedented insights into the structure and dynamics of the condensate and shine new light onto the physics of unconventional superconductors in particular high temperature superconductivity calls for new probes to reveal its pairing mechanism thiggs can also be applied to intriguing phenomena like light induced superconductivity superconductivity in twisttronics or under extreme conditions matching the ongoing importance of superconductivity in quantum materialsthiggs is a highfield phaseresolved nonlinear thz spectroscopy on order parameter excitations of the superconducting ground state itself the higgs oscillations probing the internal structure of the condensed cooper pairs this reveals not only the symmetry of the order parameter but also couplings of the condensate to external modes and their interplay with superconductivity
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multimodal hypersprectal imaging and raman spectroscopy for intraoperative assessment of breast tumor resection margins
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the spectrabreast project aims to revolutionize the assessment of tumor resection margins during breast conserving surgery bcs currently approximately 20 of breast cancer patients require a second operation due to incomplete removal of cancerous tissue this results in increased costs for the healthcare system and significant negative effects on patients wellbeing nowadays the standard margin assessment procedure is postoperative histopathological specimen analysis which takes several days to complete although intraoperative histopathological analysis on frozen tissue is possible it is less effective and cannot be implemented in all clinical centers alternative techniques have been suggested but have low diagnostic performance or take excessive time to assess the entire resected specimenspectrabreast aims to support surgeons with an intraoperative tool providing accurate and actionable feedback on the resection margin status over the whole specimen in less than 5 minutes to this end we will apply a radically new highrisk multimodal approach combining two optical techniques hyperspectral imaging hsi and fiberoptic raman spectroscopy rs with aibased dataanalysis hsi and ai will be used for fast and sensitive detection of suspicious margins which are subsequently analyzed by rs and a second ai will make the final prediction on the rs spectra the ambition is to identify tumors on and below the resection surface up to a depth of 2 mm with an unprecedented high sensitivity and specificity over 95 in realtime spectrabreast also has the potential for wider applications going beyond breast cancer to include margin assessment for other cancers roboticlaparoscopic surgery and guided biopsy finally spectrabreast will offer an objective technology reducing variability between patients and most importantly will improve patient outcomes such as reduced hospital stays complications anxiety and improved cosmetic outcomes
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implementing a patientcentred and evidencebased intervention to reduce benzodiazepine and sedativehypnotic use to improve patient safety and quality of care
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benzodiazepine and sedative hypnotics bshs incur significant adverse effects and costs especially in older adults addressing bsh overuse in older adults is therefore an urgent priority to improve patient safety in europe however previous attempts did not lead to largescale reduction in use the goal of besafe is to improve patient safety by addressing knowledge and practice gaps related to the reduction of bshs used for sleep difficulties in europe besafe proposes an interdisciplinary and intersectorial approach with experts in guidelines implementation dissemination case studies geriatrics and sleep besafe will emphasize patient involvement by establishing a patient partnership advisory council with patients informal carers and patient organisations which will advise on all aspects of the project besafe will conduct a survey among patients informal carers and healthcare professionals hcps to identify barriers and enablers to bsh reduction the results will inform the development of guidelines implementation recommendations and patientcentred materials to support selfmanagement the approach will be tested in a multinational cluster randomised controlled trial case studies conducted in the six countries will inform the development of countryspecific and general logic models to facilitate the scale up and spread of the besafe intervention and adapt intersectoral clinical pathways finally besafe will develop a toolkit to disseminate the new best practices to allow different european healthcare systems to implement this process in a standardised way while allowing for adaptation to account for country and context differences besafe multifaceted patientcentred approach will provide resources for patients hcps healthcare systems and policymakers throughout the diverse european healthcare landscape to reduce bsh use threatening patient safety and serve as a model to address the reduction of other harmful medications
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new sustainable proteins for food feed and nonfood biobased applications
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in 2050 there will be up to worldwide 10 billion inhabitants being one of the greatest environmental economic and social global challenges to produce enough quality protein sustainably reducing current pressure in its production on natural resources in this context the eu is vulnerable due to its protein gap imports 70 of proteinrich crops and 90 of soybeans there is an urgent need for new sustainable protein sources with high nutritional quality healthy and functionality properties that meet endusers needs and expectations in food feed and nonfood biobased markets it is critical to increase the consumers and industry awareness to successfully implement new proteins value chains the innoprotein project fully faces this challenge and fits into the farm to fork strategy and the european green deal priorities addressing unexploitable and sustainable environmental technological economic social protein sources to accelerate europes protein selfsufficiency the project aims to provide single cells proteins microalgae bacteria fungal and entomological alternative highquality protein to food feed and nonfood biobased applications with a circular zero waste perspective in their obtentionthe innoprotein project demonstrates a strong multiactor approach involving 15 partners including providers of technology 4 rtds 27 industrial partners 10 sme 67 and a consumeroriented partner 1 ngo 6 from 9 different european countries the duration of the project will be of 48 months with an overall estimated budget of 504384750 and a significant inkind contribution 15 by all smes of the consortia increasing the impact of the project and showing their dedication to reaching the project goals thus the requested eu contribution is 459239164
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observing binaries in transition discs
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star formation begins when the densest regions in molecular clouds collapse under their own weight forming so called young stellar objects ysos ie protostars surrounded by a gasdust disc known as protostellar or protoplanetary disc expected to be the birth place of planets in this newly formed protoexosolar systems the advancements during the past decade in our observational capabilities revealed that 10 of the observed protostellar discs in ysos present large 10 100 au dust and gas depleted cavities surrounding their protostars as well as a number of spectacular features such as spirals shadows and other nonaxisymmetric overdensities discs with cavities have been historically referred to as transition discs and are among the brightest and most studied ysos in close star forming regions the presence of a massive planet several jupiter masses interacting with the disc has been shown to be an effective mechanism for forming dustgas cavities and the observed structures the possibility that binary stars ie much more massive and luminous than giant planets could lie unresolved in the centre of transition disc cavities has been little explored mainly because of the argument if they were present they should be visible however both theory and observations hint that such binaries could be much harder to be detected than previously thought supporting the idea that some transition discs could be in fact circumbinary shedding light on this issue represents the heart of the observing binaries in transitiondiscs orbitd project orbitd has the ambitious goal of providing an ultimate answer to the question which transition discs are circumbinary discs surrounding undetected binaries identifying circumbinary discs in the transition disc population is key for answering a number of open questions about the process of star and planet formation widely acknowledged as major research priority by the scientific community
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ancient genomics and the population history of the circumalpine region
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the prehistoric pile dwellings in and around the alps constitute one of the most important archaeological archives of human prehistory dating from around 5000 to 500 bc there are over 1000 known sites in the region 111 of which are listed on unescos world heritage list the sites are mainly located under water on lake shores along rivers or in wetlands offering exceptional conditions for the preservation of organic materials like wood plant remains animal bones artefacts and even textiles because of their exceptional preservation the archaeological remains from those sites give us a unique window into the lives of prehistoric people and the development of early agrarian societies in central europe however despite the rich material evidence from the settlements we know relatively little about the people who lived there this is because there are no burials directly associated with the lake settlements which has precluded the study of ancient dna for example luckily there are other sources of ancient dna including ancient chewing gums which provide a rich of ancient human and hostassociated microbial dna as we recently demonstrated in this project we will sequence ancient dna and other biomolecules from ancient chewing gums found at lake settlements in and around the alps to shed new light on the lives of the alpine communities that settled there between 5000 and 500 bc with access to over 300 specimens from archaeological sites north and south of the alps we have the unique opportunity to study their interactions and the demographic and cultural changes that characterised the transition from the neolithic to the bronze age in central europe in addition the project promises to offer new insights into peoples health and the composition of their oral microbiome as well as their diet and subsistence strategies together the proposed research will provide us with a richer understanding of the piledwelling communities of central europe
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regulatory sequence evolution during major transitions in complex multicellularity in the brown algal radiation
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brown algae are a multicellular clade that display remarkable diversity in developmental and physiological complexity and in life history traits they evolved independently and more recently than animals and plants making them a uniquely powerful system to characterise the genomic changes that underlie the emergence of complex multicellularity i will specifically test the hypothesis that cisregulatory element cre evolution plays a leading role the evolution of complexity harnessing largescale multiomics datasets i will quantify lineagespecific rates of cre gains and losses and attempt to link these events to transitions in complexity i will combine signatures of constraint from a 59species wholegenome alignment with functional epigenomic data atacseq chipseq from five representative species to produce finescale maps of deeply conserved and recently acquired cres to understand the mechanisms of cre evolution i will annotate transposable elements tes and quantify variation in te diversity abundance and activity i will characterise what roles tes have had in cre dissemination i will also explore betweenspecies variation in the proportion of proximal and distal cres i will analyse highresolution hic data for four species to ask what effect distal regulation has on 3d genome organisation ie are distal cres and the genes they regulate topologically associated phaeocreevol will inform upon the rates and mechanisms of cre evolution during the emergence of complexity providing a highly pertinent comparison to animals and plants this will increase our knowledge of regulatory evolution in general while shedding light onto the fundamental biology of a largely unstudied eukaryotic group brown algae play critical ecological roles and have significant potential to mitigate climate change enhance global food security and deliver novel industrial solutions providing key motivations to better understand their genetics and evolution
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multisensor synergies for improved weatherclimateenvironmental products and applications to advance european services supporting green transition
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panorama will significantly enhance the quality and accuracy of eo products for supporting datadriven decision making in 3 priority areas of geo climate action disaster risk reduction sustainable development and 7 policy areas of the european green deal climate energy environment and oceans agriculture transport research and innovation the new european bauhaus the next generation of copernicus sentinels and eumetsat mtg and epssg satellite constellation provides a wide range of observations for advanced monitoring of the atmosphere panorama aims to multiply the value of this information by realising multisensor synergies to achieve advanced products along with improved applications on atmospheric composition and nwp eg motionestimation of aerosols clouds fast radiative transfer calculations topdown emission estimations through mlai data assimilation and new physical parameterisations the products and applications will be tested and finetuned in 6 pilot demonstrators to assess the impact of the new eo data on the representation and prediction of extreme weather floods energy and air pollution in its final phase panorama will materialise 3 preoperational integrated applications over the copernicus dias to demonstrate the use of the projects results in seamless climateweather and environmental european services but also to make available the tools to other users and stakeholders eg integrated applications on firesmoke and volcanic ash dispersion for cams and ems and solar energy nowcasting for the nextsense eurogeo service contributions to the c3scmems copernicus services and the destination earth are also foreseen the dissemination communication and exploitation plan will accelerate the adoption of the projects results by the wider community and the commercial sector to ensure impact maximisation
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towards nodrift sensors with onchip selfcalibration
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sensor drift is a major problem for inertial sensors and limits their usage in autonomous navigation applications inertial sensor data is integrated to find the position and drift leads to error accumulation a common drift suppression approach is temperature calibration but ovenized state of the art sensors still exhibit drift instead of using temperature as a drift indicator i have pursued a nonconventional approach and measured onchip stress that directly correlates with drift the device interacts with its surroundings through the anchors and onchip stress accurately estimates drift i am the leading researcher in the stress compensation field and i have recently demonstrated that mems gyroscope drift could be eliminated with stress compensation my longterm stability results at 2 days of averaging are unrivaled but the calibration algorithm is not practical different from temperature calibration stress calibrating a device is difficult i propose a sensor system that would convert my proof of concept work into a practical 0drift sensor with selfcalibration the proposed system consists of a circular mems sensor with multiple 100 distributed stress sensors and piezoelectric stress transducers a machine learning supported analytical calibration model a custom asic for superior noise and an fpga for system control and selfcalibration if successful the proposed approach would improve the mems gyroscope stability by 100x to the levels of 104 105h enabling errorfree only gravityreferenced inertial navigation unlike gps or camera inertial navigation works under all weather light and location conditions providing a stable reference to navigation algorithms with further miniaturization 0drift sensors could fit into smartphones and reliable indoor navigation would become a reality the compact lowcost sensor could also disrupt the precision inertial market dominated by bulky and expensive fiberoptic and laser sensors
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majorana zero mode control and detection platform
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the nonabelian state of matter has not been experimentally confirmed and remains an important field of research its detection and manipulation are critical in order to develop a coherent quantum computer in the future the overarching goal of this proposal is to build a working topological qbit based on the braiding of majorana zero modes mzms but there are two main challenges the first is to create a 2d environment where such states can be adiabatically spatially exchanged while the second is to detect the presence and the evolution of such a state to overcome these challenges i will combine two novel techniques that are currently not widely available a the squidontip sot magnetic and thermal microscopy and b a platform to manipulate vortices at the nanoscale that was developed by my research group the research will focus on the mzm which is one of the candidates for a nonabelian state in particular i will consider mzms predicted to be localized at the center of vortices or skyrmionvortex pairs svp the project has three work packages 1 develop a novel platform for vortex and skyrmion manipulation including the integration of a charge detector to detect the vortex charge in trivial vortices 2 investigate different materials and their related heterostructures that could host mzms at the center of vortices or svp these materials include fetese and heterostructures such as strong spinorbit semiconductorsuperconductor ferromagnetssuperconductors 3 combine the results from wp1 and wp2 to detect the presence of mzms this includes gapless edge state and fractional vortices detection using the sot and charge sensing developed in wp1 this ambitious project has the potential to revolutionize quantum computing and quantum materials physics by enabling new experiments it will establish a new field where 2d exchange statistics can be directly controlled and observed
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enhancing social wellbeing and economic prosperity by reinforcing the effectiveness of protection and restoration management in mediterranean mpas
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the effective main objective is to develop a comprehensive scientific knowledge base and practical guidance combining science technological naturebased solution digitalization and social implication for the application of the ecosystembased management to the protection and restoration management of the eus mediterranean blue natural capitalto ensure the success of this main objective the effective project counts on partners with broad expertise in relevant areas covering all the three pillars of the ebms from applying research stages until companies as follows managerial pillar information pillar and participation pillar and also a naturebased solution in addition this project provides the implementation of the ebms in four pilot areas mar de lempord ebro delta sardinia septentrional cavo greco towards protection and restoration solutions besides taking into account the connectivity between three of them through the existing cetacean migration corridorto achieve the effective main objective the following 5 specific objectives so are identifiedso 1 apply ebms to identify analyze and extend an ecological corridor in the mediterranean sea connecting habitats and biodiversity so 2 apply ebms to analyse and extend the status of 4 mpa in the mediterranean seaso 3 demonstrate 4 naturebased seabed protection and restoration solutions including preserving seabed carbon sequestration capacity in a real environmentso 4 to identify limiting factors gaps and recommendations of existing mpa legislation regarding environmental and anthropogenic pressures setting up links with previous projects so 5 to implement an innovative digital data visualization and aggregation tool in the form of a digital twin for enabling data exploration research participation and citizen science
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co2 mineralisation conversion of waste to new building materials
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the goal of min co2 is to test the innovation and commercialisation potential of an idea for i increasing sustainability ii decreasing atmospheric co2 and iii producing a valuable low co2 footprint building material from noncombustible solid waste results from our erc research led to the idea can we react waste materials with co2 and water to produce fine grained material of value for new concrete current solutions for ccs are expensive and require extensive infrastructure but if this idea works the technology will generate income our estimates suggest 50 t from the sale of the end product in min co2 we shall test the idea and optimise the system parameters at bench scale then design build and test a laboratory prototype reactor where rate of reaction and formation of a minimum viable product can be achieved in a flowthrough process bringing us from our current trl 2 to trl 4 one patent has been submitted others will follow as appropriate our preliminary market analysis and business case as well as discussions with potential partners waste suppliers a local wastetoenergy plant and a concrete company bode well for writing a proposal for innovation funding at the end of the poc grant larger company stakeholders promise investment when we are able to demonstrate viability in a factory pilot trl 6 our long term goal is a startup that sells co2 traps and knowhow for installation into existing factory chimneys for european and eventually global markets initial discussions with members of the public and the media range from positive to enthusiastic because most of societys fears about ccs are avoided with our approach as our prospective partner from the concrete industry summarised if this works it will be big our small dedicated team is convinced that it will
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restoration of the gut microbiome after delivery by caesarean section to prevent asthma
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associations between caesarean section cs and childhood asthma may be mediated through microbial changes in 700 children followed prospectively from birth i recently showed that microbial perturbations after delivery by cs explain the delivery modeassociated risk of developing asthma in the first 6 years of life cs was associated with more than a doubled risk of later asthma and allergic sensitization as well as immense compositional changes in the gut microbiota an increased asthma risk was only found in children born by caesarean section if their microbiome did not normalize by age 1 year suggesting that a healthy microbial maturation can alleviate the childs increased asthma riskunder the hypothesis that asthma risk from cs can be avoided by restoring the early gut microbiome the proposed project will identify key environmental dietary and host factors that help restoring a cs perturbed microbiome map the compositional and functional potential of the cs microbial profiles evaluate the role of the virome in the cs associations and perform cocultures of key microbial consortia that may restore a healthy trajectory finally i will perform murine experimental models to validate the findings and perform pilot studies on cs microbiota restoration by fecal microbiota transplantation fmt and fecal virome transplantation fvt in newbornsthis will be a truly translational research project with the potential to go from clinical observations to mechanisms based on bioinformatics and microbiological laboratory work and experimental models and a pilot human trial to infer causal relationships with the perspective of developing a potential future intervention strategyif successful this strategy will be groundbreaking for understanding the microbiomes role in asthma development after cs and in the future potentially lead to novel prevention strategies and targeted efficient microbiota manipulation in children with early microbial perturbations
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turku intersectoral excellence scheme
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turku intersectoral excellence scheme ties is an innovative fellowship programme that seeks to advance the stateoftheart for postdoctoral research excellence it is based within turku institute for advanced studies tias at the university of turku finland and is supported by turku science park tias has a record for producing worldclass research and developing its fellows for research leadership roles ties offers scientific excellence ties integrates intersectoral perspectives and methods into tiass interdisciplinary institute for advanced studies model on a formal basis this expands the horizons of academic research enabling it to envision original solutions able to address complex issues that affect society as a whole career development ties offers a new range of options for nontenured researchers enabling them to move freely between sectors acquire unique skills and experiences increase their career choices and develop as intersectoral thought leaders innovation ties seeks to build a sustainable infrastructure for innovation by 1 enabling knowledge technology and researchers to circulate freely at regional national and international levels 2 forging deep relations of trust between sectors connecting intellectual excellence with the practical knowhow and infrastructure needed to realise new conceptstias proposes to recruit 4 ties fellows in 2022 and 2023 8 positions in total through an open international competitive meritbased selection process dependent on external peerreview in line with the european charter and code these will be full members of tias with excellent working conditions during their 36month fellowships they will be required to practice international and intersectoral mobility conduct research in a nonacademic sector undertake research secondments with a nonacademic host organisation and develop an individual development programme with mentors and supervisors from inside and outside academia
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designing social media recommendation algorithms for societal good
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social media platforms are central for civic discourse yet evidence is mounting that they play a causal role in deteriorating social cohesion user behaviour on social media platforms is governed by content recommendation algorithms that maximise engagement leading to unintended consequences such as the promotion of outragethe eus newly enacted digital services act mandates social media platforms to assess their systemic risks for society however the current challenge lies in translating abstract risks to concrete platform design changes that reduce such riskswe will bridge this gap by combining approaches from social science and computer science to incorporate the reduction of risk to civic discourse into content recommendation algorithms of social media platformsto this end we will employ a participationbased approach to develop novel algorithms that consider various aspects of civic discourse such as information quality and diversity and the civility of languagewe will develop open source digital twins of social media platforms to enable experimentation with new algorithms independent of platform companiesto balance the reduction of risk to civic discourse and freedom of expression we will solicit peoples preferences in different scenarios such as a public health crisis and elections and develop balanced algorithmslastly we will develop a scenariobased risk assessment framework to assess algorithms and provide policy recommendations for interventions in content recommendation algorithms the originality of desire stands out in that to date democratic values and fundamental rights played no role in the design of content recommendation algorithms
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quantum computers for data centers
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aqt is realizing the first european cloudaccessible quantum computer at internationally competing performance levels our two quantum computing setups have been realized within two 19inch rack cabinets each and are each powered by a single wallmounted power plug the hardware is deployed in our data centre and can be installed onpremise at a customer site the project aims to provide cloud access to aqts european quantum computers using a novel aqt cloud platform such that the european quantum ecosystem in particular our quantum software partners and customers can thrive without influence or dependence on currently noneu dominated quantum computing hardware our platform infrastructure is meant to be readily extended toward quantumenabled application services these future application services will allow us to demonstrate and commercially exploit the advantages of quantum computation in finance logistics optimization materials design and chemistry
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market technology analysis
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adsorbi is a deep tech startup company from gothenburg sweden and was founded after several years of research within materials chemistry adsorbis innovation is a biobased adsorbent material which captures harmful pollutants with high capacity the aim is to replace activated carbon in applications for pollutant removal to lower the high environmental impact and material use of today the goal of the project is to identify which of the many potential application areas to target specifically what should be the first products and who is the ideal first customer of adsorbi the project is divided into four objectives perform a market analysis perform a technical feasibility study perform an ip strategy evaluation and develop a business case around shortlisted attractive application areas
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cell rejuvenation therapy for agerelated macular degeneration
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agerelated macular degeneration amd is a leading cause for blindness resulting in loss of vision at the center of the visual field the macula due to damage to the retina the disease usually affecting older adults 55 was diagnosed in 2020 in 196 million people worldwide with an estimated economic toll of 343 billion including 255 billion in direct healthcare costs in amd photoreceptors and retinal pigmented epithelium rpe cells which underlie the photoreceptors undergo degeneration the standard care is injections of antivegf medicines such as ranibizumab lucentis aflibercept eylea and brolucizumab beovu to the eye every 13 months these delay disease progress but cannot restore lost vision and have side effects such as bleeding in the eye during an erc starting project the pi has discovered a new method that would allow to not only delay the disease but to also improve rpe cells function as a treatment for amd the proposed approach to rescue rpe cells is rejuvenation by a technique called partial reprogramming our results suggest that the proposed technique is safe and efficient in rejuvenating mouse and human fibroblasts and in improving their function in the current application through in vivo studies we will prepare for implementing our novel approach in our envisioned product isee in isee we will aim to use our discovery of a unique combination of factors that successfully reprogram cells to drive aging rpe cells into rejuvenation and improved function we will calibrate the expression of the reprogramming factors in rpe cells and test rejuvenation and improved function in amd mouse models ipr and partnering with clinician and industry will be developed concomitantly our final product isee is developed based on a pct patent application no 63210030 as a cocktail of molecules of mrna directly applied to the eye to offer the first amd treatment that could restore vision
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circhtt in brain development and huntingtons disease elucidating in vivo brain functions of a novel circular rna molecule stemming from the htt locus
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i am a neuroscientist specialized on brain development and genetic brain disorders during my phd with dr gaia novarino ist austria i developed a strong expertise in using in vivo mouse models and a large number of different techniques to investigate the underlying cause of intellectual disability and autism my work helped to better understand the pathophysiologic mechanisms driving these complex neurodevelopmental conditions as well as the process of brain development more in general now i aim to expand my research profile to neurodegeneration and the noncoding genome specifically circular rnas circrna as a postdoctoral researcher in the lab of dr biagioli at dep cibio unitn i seek to combine my strong background in functional in vivo studies with her outstanding expertise in huntingtons disease hd research and epigenetics to elucidate a novel regulatory pathway in hd in this proposal i designed a dedicated research and training plan that will significantly expand my scientific portfolio and uncover the in vivo functional roles of circhtt a newly discovered circrna molecule discovered and initially characterized by dr biagiolis lab stemming from the hd locus we will study its mouse orthologue circhtt focusing on expression dynamics and pattern during development and aging and visualize its cellular and subcellular localization in the brain we will analyse its relevance for hd pathology by using hd mouse models and uncover its molecular brain functions by exploiting the innovative and highly specific crisprcas13 knockdown machinery in vivo the results of this project will highlight a novel regulatory network in hd pathophysiology in which circhtt may act as modifier ofor novel biomarker for hd progression or represent a novel molecular drug target this award is vital for me to return from maternity leave and join the biagioli group it will significantly contribute to my career perspectives inside and outside of academia
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plugandplay sustainable dyeing solution to help the textile industry reduce energy costs and environmental impact
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textile and fashion brands face mounting pressure from national and international policies consumers and institutional investors to transform their practices and decrease greenhouse gas ghg emissions presently textile dyeing methods are both energyintensive resulting in higher ghg emissions and economically burdensome although sustainable dyes can reduce ghg emissions they often come at a higher cost due to expensive materials additional capital investments or the need for high temperatures leading to elevated energy expensesever dye has pioneered an innovative dyeing process with a biosourced pigment effectively detoxifying the textile industry diminishing ghg emissions and significantly reducing energy costs by enabling dyeing at room temperature this breakthrough allows dyeing houses and fashion brands to achieve substantial savings while adhering to the growing demand for emission reduction across the textile value chainever dye has already made considerable headway in the market and intends to carry out laboratory and industrial trials in partnership with several prominent fashion brands
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wellbeing inclusion sustainability and the economy
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wise horizons will inform and accelerate the transition to a new economic paradigm with wellbeing inclusion and sustainability at its core the project will create a stateoftheart theoretical framework which synthesises the current postgrowth initiatives through a novel and open access wise accounting framework the framework will define core terms and link to beyondgdp metrics satellite accounts policy strategies and the current generation of economic and integrated models it will link to european policy strategies such as the netzero targets the circular economy transition and sustainable competitiveness with partners in africa the us and china it will also globally assess the current and new economic paradigms from the perspective of sustainable developments goalsany transition will result in tradeoffs and synergies between different elements of a new economy such as wellbeing inclusion and sustainability these will be empirically analysed and used to inform policy and society about the choices that will shape the future up to 2050 the historical empirical analyses will use the wise database and thematicintegrated models that address the core questions and policies of the postgrowth society will be created by leading expertsinstitutes in the field of beyondgdp inequality sustainability and postgrowth economicsto maximise the impact of the project the wise stakeholder platform which is a network of networks will be created and the groups involved in the wise platform will be engaged in communication dissemination and exploitation the empirical research involved in this project will be done in a novel cocreative approach involving stakeholders in 5 cocreation labsworkshops special attention is given to individuals that are negatively affected by the transformation an ambitious communication strategy will facilitate a new public debate away from the standard economic paradigm and towards a new paradigm fit for the future
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vulcan matter powered from within
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vulcan the roman god of blacksmithing was revered in europe since the iron age 1200500 bc for a powerful skill controlling the macroscopic properties of metals strength ductility toughness to this day thermal treatments such as annealing cycles of high temperatures alternated with slow cooling remain an essential tool of material science however vulcans traditional powers forge monolithic static and passive materials and are laughably blunt instruments when compared to living materials which dynamically reconfigure repair and rebuild themselves living systems provide proofofconcepts for what can be achieved assembling functional materials from elementary blocks that consume fuel vulcan matter powered from within takes forging into the modern age injecting energy directly through active agents present in the materials it is experimentdriven and bottomup establishing novel experimental strategies to fabricate materials powered from within with phases and structures that cannot be achieved via thermal treatments and present nonconventional mechanical and rheological properties selfhealing odd viscosities the proposal notably aims to control the phase diagram of matter with spatiotemporal modulation of activity of the bath we will devise an active bath of swimming bacteria to assemble macroscopic and 3d colloidal crystals and gels objective 1 with structures and at scales that cannot be achieved thermally in parallel we will devise exotic condensed phases of matter 2d liquids of spinners and networks of active beams objective 2 made from large numbers of autonomous micromachines built from lightactivated colloids this is uncharted territory and an ambitious and highrisk goal fueling vulcans lasting impact tearing down the boundary between active matter and materials science and opening the path to a new class of materials powered from within with applications in bioengineering and photonics
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innovative digital twins for advanced combustion technologies
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significant adoption of renewable sources will be witnessed in future years to meet the longterm objective of co2 neutrality and mitigate the effects of global warming while electrification will play a key role in the transition to a sustainable energy system combustion processes will remain part of the picture requiring sustainable combustion technologies and renewable synthetic fuels the design and development of novel combustion technologies in power and heat generation transportation and manufacturing processes require developing a digital combustion infrastructure that promises to bring down the needed rd investments for meeting the tightening environmental regulations however predicting combustion processes is a complex and challenging task and the tools available today fall very short of what is needed for new design and optimisation we made an innovation that formed a digital twin combining theory experiments simulations and machine learning into one unique combination with our approach we can predict complex multiphysics systems that can be used for designing combustionbased energy generation applications for growing markets our approach is expected to impact significantly new combustion systems while reducing the resources and time for designing such fuelflexible nonpolluting and energyefficient systems this is expected to have vast commercialisation potential in the industries 1 designing environmentally friendly energy systems and 2 supplying digital tools for the design processes
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deciphering cancer heterogeneity and drug resistance using singleclone genomic and epigenomic landscapes
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to comprehend the characteristics phylogenetic relationships and drug resistance of tumor subclones measurements must be performed at singlecell or singleclone resolution aims 1 and 2 aim to create costeffective and reliable singlecell drop technologies for capturing fulllength rna scflrnaseq and enhancers at the dna level chromopen it is noteworthy that scflrnaseq also captures noncoding and nonpolyadenylated rnas besides coding mrna chromopen also offers better capturing of functional enhancers and higher sensitivity compared to the conventional technology the ultimate goal of aim 3 is to create the first technology that can capture both fulllength rna and enhancers from the same cell multiomics to increase sensitivity and coverage multiomics will be combined with a 3dculturing system 3dclone that facilitates growth of primary cancer cells into small clones the singleclone based multiomics maps will increase the discovery rate of genetic somatic diversity including noncoding regions reveal connections between gene expression and mutated loci and display a wider range of functional state associations between cells in aim 4 using our innovative mapping technologies we will investigate two brain tumors nonsmall cell lung cancer that has spread to the brain and glioblastoma primary cells both of these cancers have limited treatment options and poor outcomes due to drug resistance based on temporal drug treatment experiments and advanced mapping technologies this data will improve our understanding of somatic driver mutations and cellular diversity in the context of resistance and ultimately lead to the identification of new therapeutic targets
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set plan conference 2022
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this is a proposal to host set plan conference 2022 in the czech republic during the czech presidency of the eu the conference will take place in prague on 9 10 november 2022 the programme is dived into several thematic sessions dedicated to eg lowcarbon sources industry buildings hydrogen ccs etc there will be a highlevel panel where we expect the attendance of commissioners simson and gabriel minister of industry and trade will also be present the first day will be closed by an informal dinner the conference should promote research and innovation in the eu and enable discussions among different researchers a result should be recommendations on the future orientation of the eu research and innovation programmes
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first in class oligo therapy for myotonic dystrophy type 1 dm1
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myotonic dystrophy type 1 dm1 is a clinically and genetically heterogeneous disorder with more than 1 million diagnosed patients worldwide making it the most common adult muscular dystrophy available treatments only relief symptoms given this need we offer atx01 a first in class mirna therapy that inhibits mir23b without changing the dna which rescues dm1 pathogenic missplicing we have demonstrated improved target engagement effects in skeletal and respiratory muscle in invitro and invivo studies granting us an fda preind approval and orphan drug designation our approach antimirs conjugated to fatty acids constitutes the entry platform which guarantees efficient drug delivery to target muscular and extramuscular tissue at low doses this patented technology will be validated through a phase iiia clinical trial and chronic preclinical studies to then be extended to applications as other myotonic dystrophies fuchs dystrophy cachexia among other opportunities
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spectroscopyiku manipulating and characterizing molecular architectures from isolated molecules to molecular crystals
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spectroscopyiku aims to strengthen molecular physics chemistry and materials sciences at istanbul kultur university iku by establishing a strong internationally competitive research team dedicated to molecular spectroscopy at the iku faculty of sciences and letters the team will be led by prof rui fausto era chair holder a worldleading scientist in the field a new research infrastructure dedicated to spectroscopy will be created supporting the era chair team and serving as a spectroscopy platform for other iku research groups additionally it will provide spectroscopy services to external users from both academy and industry the erachair research team will engage in training young researchers and postgraduate students contribute to the academic activities of iku on spectroscopy and participate actively in outreaching actions all activities will follow the principle of free circulation of knowledge and expertise aligning with era priorities research will focus on two main areas sharing the need for precise molecular structure manipulation and characterization i structure and reactivity of atmospheric and astrophysically relevant molecules and ii polymorphism in molecular crystals and cocrystals the first subject centers on the laboratory study of isolated molecules and small aggregates addressing fundamental chemistry and physics in earths atmosphere and space through exploration of new avenues of chemical reactivity and their underneath physical processes such as reactions resulting from vibrational excitation of molecules or taking place via quantum mechanical tunneling two subjects the erachair holder has been pioneering the second main subject is a hot topic in materials sciences and one of the most crucial subjects for pharmaceutical industry at the moment new approaches for polymorphs screening will be implemented based on the development of novel versatile techniques for molecular crystalscocrystals generation
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ngi commons open source and internet commons for europes digital sovereignty
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the ngi commons project aims to align and integrate next generation internet ngi efforts within the broader european digital and internet commons dcic landscape addressing key governance issues such as digital sovereignty cybersecurity and personal data selfdetermination to achieve the ec call objectives the projects consortium combines expertise in digitalinternet commons open source the european digital policy landscape with a deep understanding of the overall ngi initiativedigital commons including open source software hardware design standards and data are essential to support sovereignty trust and democratic values in society their economic and geopolitical importance has been recognized in the eus digital decade strategy to unlock the full potential of digital commons efforts must be made to overcome fragmentation and bridge the gap between bottomup movements and topdown regulatory efforts a role that the ngi commons project can effectively playthe projects approach focuses on creating value for all stakeholders in the ngi community and facilitating access to ngi resources and funding for dcic initiatives it leverages the consortiums deep understanding of ngi tools and mechanisms and its wellestablished connections across europe and beyond the project will conduct a thorough economic analysis of the ngi initiatives impact and the broader dcic landscape which will contribute to creating a strategic agenda for supporting digital commons throughout the current mff period and beyondthe main objective is to help the ngi initiative to integrate and align with other european and national digital commons policies in order to develop a longterm strategy that is critical for sovereignty trust and european democratic values the ultimate ambition is to create a more coherent european funding landscape to make the digital commons a core building block of eu digital sovereignty and public digital infrastructure
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individual motivations and collective responses to gig work among medical doctors
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md gig examines the transition to digital service provision in the public services by exploring the rise of the online doctor that provide consultations between doctorpatient via appbased mobile phone technology the aim is to explore digitalization of healthcare from a worker perspective to highlight the preconditions that give rise to gig work in the healthcare sector and explore the potential consequences at different scales whereas before all patients had go to a primary care center on appointment during office hours today patients can have a consult with a doctor ondemand at any time and from anywhere medical works entry into the platform economy where work is reshaped into gigs that workers perform where and when they want is developing parallel to organizational and economic restructuring of the healthcare system towards more marketization and privatepublic partnerships the project sets out to understand the individual motivations for doctors to take up work in digital doctor platforms through indepth interviews to produce narratives based in the mds own experiences to explore the approach of the trade unions and medical associations to digital doctor platforms through expertinterviews with high level union employees to document their hopes fears and strategies regarding changing labour markets and working conditions and to analyse the role of digital doctor platforms in public healthcare restructuring to produce a political economy of digital healthcare in europe
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internal fortress regulating european freedom of movement within the nationstate 19501980
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against the prevailing view that freedom of movement lowered internal barriers to movement while raising walls against outsiders to create a fortress europe this project investigates how the introduction of freedom of movement may have strengthened national political authority over european migration within the member states of the european economic community eec internalfortress suggests that as governments gradually lifted entry restrictions across the eec they also built out new internal administrative machinery to insert community migrants into key areas of social and economic life placing migrants from outside the bloc at a disadvantage within local communities the project explores this hypothesis in three key areas social security skill development and union participation the pi will lead a team of two phd researchers and one postdoc to deploy a methodologically innovative multilayered research program that analyses the interplay between national european and international institutions as well as the private ngo networks that flowed between those formal frameworks in contrast to previous histories of freedom of movement which explain policy outcomes leading up to todays regime of european citizenship internalfortress makes an important interpretive innovation by focusing squarely on the early process of transition from the 1950s to the 1970s the project will investigate how the improvised nature of early integration created gaps and tensions that were consolidated in the 1970s as national and regional migration policies settled into more rigid patterns internalfortress suggests that policies behind the border matter as much as policies at the border for understanding the acrimonious debates around european migration that continue through the present
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cooling electronic devices with graphene electrons
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devices such as mobile phones computers and batteries have become an integrated part of our society an important challenge in such devices and device components is to avoid overheating by using suitable thermal management currently this typically relies on heat dissipation by electrons in metals such as copper more recent approaches have explored heat dissipation by phonons in graphene and related materials which can have a thermal conductivity that is an order of magnitude higher than that of typical metals in this project we aim to demonstrate thermal management technology where heat dissipation takes place by graphene electrons rather than phonons this is a promising approach as the thermal conductivity of graphene electrons can be another order of magnitude larger than that of graphene phonons as we recently demonstrated in our ercfunded research furthermore it allows for direct electronic heat dissipation without the intermediate step via phonons the two main objectives of this project are i to demonstrate grapheneelectronbased heat dissipation in relevant electronic devices and ii to develop a business creation plan related to this technology these objectives will be addressed by an experienced and multidisciplinary team consisting of scientists technologists and business developers on the technical level we will fabricate and characterize three specific proofofconcept demonstrator devices on the commercial level we will work on intellectual property protection leverage our network of partners from relevant industries and design a business creation strategy there will be constant feedback between the technical level and the commercial level of the project in order to establish how the technology will create the most added value adapted to the market needs and thereby create most value for society
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research on materials ageing and structural integrity of research reactors
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many of the existing research reactors rr in europe are very old 60 years operation only few initiatives are taken pallas and jhr to partially replace this capacity continued operation of these rrs is mandatory at least until the new reactors come to operation to maintain the eu excellence in development and qualification of nuclear materials for advanced reactor concepts and to maintain the supply of medical isotopes license extensions for continued safe operation cso requires ageing management review amr and time limited ageing analysis tlaa of critical structures and components however there is limited understanding of damage mechanisms and lack of materials data on rr materials at relevant operating conditions for long term operation of rrs in addition there is a shortage of surveillance specimens for extending the operational life for some rrs lastly sharing of knowledge and operational experience is crucial in this relatively small rr communitymagicrr addresses aforementioned issues by leveraging 1 available archive materials and data from the existing research reactors eg from surveillance programs and shut down reactors 2 operational experience of research reactor operators and 3 advanced characterization and modelling techniques at universities and nuclear research centers to achieve this goal magicrr focuses on the following topics in order to cso of european rrsimproved understanding on irradiation induced damage in rr structural materials specifically al alloys at high fluence conditionsapplication of advanced multiscale modelling methods for prediction of irradiation influence on mechanical properties investigation of corrosion mechanisms and its preventionmitigationassessment of subsize testing for surveillance programssharing knowledge on reactor operation and providing guidelines on best practicesstructural integrity assessment of critical components of rrs to support cso of rrs
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visionary roadmaps crafting an inclusive and participatory european democracy with youth and communities youth for europe yourope
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european democracy is presently challenged by the rise of authoritarianism political extremism misinformation and the decreasing engagement of underrepresented youth yourope addresses the traditionally low political participation rates among especially underrepresented youth by tapping into their potential and aspirations through innovative approaches yourope aspires to transform european citizenship and democracy by enhancing youth involvement creating a more inclusive democratic process and developing policies that align with the different needs perspectives and ambitions of european youth especially those who are currently underrepresented yourope is dedicated to reinvigorating european democracy by enhancing inclusivity and participation particularly focusing on underrepresented youth and their communities this is achieved by establishing shared democratic spaces and roadmaps through the innovative communityled research and action clra methodology in combination with quantitative methods this democratic methodology promotes a reciprocal environment of learning and action within educational institutions recognizing their significant role in advancing european citizenship and democracy it also ensures that strategies are grounded in evidence sustainable iterative extensive in scale and fundamentally participatory educational institutions are pivotal in this effort acting as catalysts for democratic engagement in these settings young individuals and their communities will collaboratively develop inclusive participatory democratic spaces and roadmaps yourope will implement this approach in 21 educational institutions involving 630 young individuals and 6300 community members connecting them directly with over 30 european policymakers the projects vision extends far beyond its immediate timeframe intending to establish a basis for continuous research and action on future democratic scenarios for europe
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integrated quantum repeater nodes
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recent breakthroughs in the field of quantum technologies combining academic and rd efforts have demonstrated the potential of quantum networks for major applications such as longdistance secure communication or quantum cloud computing one current challenge is to deploy quantum networks out of the lab for realizing their expected farreaching societal and economic impact a crucial requirement for reaching this goal is the realization of a quantum repeater that will be able to extend quantum links to continental distances in this context the use of integrated photonic platforms allowing for lowfootprint alignmentfree and massmanufacturable quantum nodes represents a significant resource for reallife applications of quantum networks in this proposal we provide a route for achieving this goal through the integration of rareearth quantum memories on fiberpigtailed glass photonic chips this technology enables the storage of single photons in a platform that is compatible with integrated photonic circuits used to perform quantum gates and computations we will demonstrate for the first time ondemand retrieval of photons in an allfiber quantum memory then build the first elementary integrated quantum memory node with a multimemory photonic chip that could readily be embedded in a dlczlike quantum repeater architecture the goals set in this proposal are important milestones towards the achievement of robust applicationready quantum networks and the establishment of a european quantum internet
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diaminodicyanoanthroquinodimethanes electrically driven molecular micromotors
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electric fieldpowered micronano motors emnms are tiny devices that convert electric energy into mechanical movements emnms are the potential candidates for the range of applications from physics to biology most of the existing emnms have been shown to propel in various fuel media like h2o2 hydrazine and hydroquinone limiting their toxicity applications the majority of their fabrication processes are expensive timeconsuming and complicated highlighting the need for a simple fabrication approach to devise ecofriendly emnms this proposal aims to develop a new strategy for fabricating electric field responsive asymmetric molecular microparticles using a simple fabrication technique and analyzing their motions in the presence of the electric field without an additional fuel medium for the first time we will employ the simple reprecipitation technique to incorporate the gold nanoparticles into the asymmetric crystals of strongly zwitterionic diaminodicyanoanthroquinodimethane ddadm derivatives and employ them as micromotors under the electric field the essential determinants for developing asymmetric morphologies will be a noncentrosymmetric assembly of dipolar molecules nonequilibrium conditions and local supersaturation during the reprecipitation technique further examples will need to establish it conclusively molecular emnms will be expected to exhibit highspeed motions 30 to 100 times of the body length s1 under a low electric field 50180 vcm it will be proposed that the concentration gradient of the polar ddadm molecules and trapped gold nanoparticles across the asymmetric crystal can induce charge dielectrophoresis force in the presence of an electric field that could facilitate the mechanical motions of emnms in the water an empirical model will be developed for the mechanistic understanding of the actuation process and insight into the response of the ddadm molecules under the electric field
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flexible dimensionality of representational spaces in category learning
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our visual system frequently has to classify complex high dimensional inputs a key learning objective of the brain is thus to identify diagnostic dimensions often tasks require simultaneous consideration of multiple dimensions yet learning many dimensions is computationally challenging here i ask how the visual system tackles the challenge of learning high dimensional tasks some theories suggest that the brain does so by compressing dimensions while others suggest dimensionality expansion yet dimensionality compression and expansion both have advantages and disadvantages and some studies find dimensionality compression where others find expansion this raises the hitherto unanswered question what determines whether the brain invokes either of the two strategies i hypothesize that instead of settling on a single strategy the brain can reap the benefits of dimensionality compression and expansion by flexibly adjusting dimensionality to the task at hand this entails the novel prediction of flexible neural codes that can switch dimensionality to test this theory i build on a multimodal multispecies approach i have developed to study learning using the paradigmatic case of visual category learning i will establish the effect of task dimensionality on the structure of mental representations in behavior i will determine how task dimensionality transforms neural activity using neuroimaging in humans i will identify the neural building blocks of flexible dimensionality using electrophysiology and causal perturbations in rhesus monkeys and i will unravel computational principles of flexible dimensionality with artificial neural networks this combination of species and techniques is ideally suited to unravel the neural mechanisms for coping with high dimensional tasks by elucidating the flexibility of mental and neural representations i aim to reveal a hitherto unknown principle governing learning and stimulate future educational applications
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european underground h2 storage reference system
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the overall aim of the project is to demonstrate underground hydrogen storage in depleted porous natural gas reservoirs at trl8 rag austria ag is in the unique position to start with an already existing pilot facility developed within the framework of the uss2030 project wwwuss2030at to trl 6 euh2stars will bring the pilot to trl8 using results of several relevant projects hyuspre hystories underground sun storage underground sun conversion and others to achieve the overall aim and maximize the exploitation of the project results for replication in other regions of europe the following specific objectives and outcomes are planned provide recommendations to best manage all environmental legal and future regulatory societal and marketrelated aspects to ensure a successful implementation of an underground hydrogen storage facility in europe wp 1 provide recommendations on the topic of health safety environment and quality hseq including a monitoring plan to ensure an alarp as low as reasonably practicable risk level when operating the demonstration site and future commercial storage sites wp 2 run 4 cycles of seasonal operation with different characteristics and usage profiles to demonstrate the ability to integrate with different energy infrastructure systems with highest purification levels of hydrogen wp 3 show transformation pathways to replicate demonstrator findings in fullscale commercial settings at existing underground gas storage facilities and new to be developed storage sites in depleted natural gas reservoirs in europe located in austria rag the netherlands shell hungary hgs and spain tes wp 4 show how to integrate hydrogen storage facilities into the local national and european energy infrastructure and market by showcasing specific use cases in at hu nl and es and other use cases including the integration into the european hydrogen backbone wp 5 establish a sound interactive stakeholder involvement process to maxim replication potential and exploitation of the demonstrator results wp 6our euh2stars mission isbest practice demonstrator for a competitive complete and qualified largescale hydrogen storage system using a porous subsurface reservoir to enable the integration of european renewable energy sources
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planning land use strategies meeting biodiversity climate and social objectives in a changing world
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plus change brings together 23 institutions from across europe including 5 universities 5 research institutes 3 stakeholder network organisations 1 performing arts collective and 9 practice partners representing regional planning and land management authorities and organisations the objectives directly address the call with an aim to create land use strategies and decisionmaking processes that meet climate biodiversity and human wellbeing objectives of sustainability and to develop interventions that leverage political economic societal material and cultural contexts to achieve these strategies by involving actors at multiple decisionmaking levels individual land management planning policy activities include land use modelling including historical and future trajectories of change systems mapping causal loop diagrams performing arts approaches randomized controlled trials of behaviour change sociological surveys and policy and governance reviews all activities brought together in an integrated research design that draws on their different contributions to a holistic approach to understand multiscale land use systems across a diversity of socioeconomic and biogeographical contexts and create usable tools for land managers users planners and policy makers the project is anchored in and integrated through 11 locationbased cases for cocreation and in a highlevel multiplier cluster to identify challenges and impacts at eu and global levels outputs include recommendations of codesigned and tested interventions to unlock behavioural structural and procedural changes to achieve identified land use strategies and a toolkit to support land use planners in enacting these interventions including knowledge training a planning dashboard and simulation tools and methods for engaging citizens and land managers in behaviour change
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method for smart and affordable evaluation of simultaneous faults in heating and cooling systems based on compressed vapor technology
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this project seeks to revolutionise fault detection diagnosis and evaluation fdde by designing an innovative knowledgebased and costeffective method currently fdde for vccs is performed only for large plants for small plants instead only fdd is run while the evaluation is not affordable according to current patents allowing eventually only one fault per time the innovation beyond the soa of our proposal lies in the methods ability not only to detect but also to precisely identify their types and to assess the severity of up to three concurrent softfaults complete fdde in terms of refrigerant charge and heat exchangers fouling which are the most insidious among the frequent ones through data processing the method allows to collect energetic and environmental knowledge of the system and to elaborate economic calculations making possible to provide a powerful and innovative decisionsupport service of interest for energy service providers final users or policy makers beyond the project the method could be easily implemented in smallsize vapor compression systems vccs the most common kind of system preserving the original hardware except for some cheap extra measurements and data processing that can be easily done and managed with iot devices and ict infrastructures the research proposed will investigate a method through the proof of concept about the possibility to determine univocally the fdde running an appropriate set of values to the degrees of freedom of the machine the research requires the development and experimental validation of a model the production of a huge synthetic database for several machines the demonstration of the method by a virtual test and the effective experimental validation the project is relevant to the challenge scope aligning with the objectives of exploring new methods and processes to reduce operational costs increase efficiency and enhance environmental performance in cooling systems
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new european bauhaus academy alliance
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the urgency of the climate crisis requires accelerating the transfer and adoption of climate change mitigation skills and tools to workers businesses policy makers and the public around 40 of ghg emissions come from building operations and an additional 1020 from embodied emissions making the construction ecosystem a major contributor to the climate crisis and a necessary sector to transform one of the main obstacles to transformation is the massive need for skilled workers and educated professionals on all levels more than three quarters of companies in the eu report difficulties in finding workers with the necessary skills the twin green and digital transformation of the construction ecosystem is an enormous opportunity to create sustainable employment in urban and rural areas and is central to decarbonising europes economy and fighting climate change our objective is to establish an international network the new european bauhaus academy alliance neba alliance which will ensure high quality training for higher education vet and lifelong learning is available and delivered to as many workers as possible across europe and the surrounding regions the project will establish hubs that have regional coverage andor expertise in specific topics create a joint business plan and operational models then link them through a digital platform that will serve as a matchmaker between learners and trainers as well as an open directory and repository for neba certified training contents addressing biobased circular regenerative and longlife processes concepts and solutions with microcredentials available the project will also provide skills agenda and policy roadmap guiding implementation of the green deal renovation wave circular bioeconomy and related policy initiatives the neba alliance will be the first and most dynamic entry in a massive push for skillseducation across all levels of the construction sector and the society
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embracing immigrant knowledges for just climate health adaptation
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climate change human health and immigration are arguably the most prominent enduring and challenging issues of our times with important implications for justice studies on the nexus of these issues have largely focused on climate change as posing challenges to health and thus acting as a pushfactor for migration however our understanding of how climate is impacting the health of immigrants in places of migration destination is still poor further limiting our understanding of potential climate and health injustices immigrant communities in europe are far from homogenous and are often racialized groups of great ethnic diversity with imbrace i examine what shapes immigrants climate health vulnerability and how their situated knowledges and practices can inform both their own response capacities and urban climate adaptation more broadly towards more effective and just approaches i focus on two types of climate impacts chosen as most relevant for urban areas in europe and with important implications for health a increased and prolonged heat and b intense rainfall and flooding i employ a pioneering feminist political ecology approach that combines participatory ethnography critical discourse and policy analysis and transdisciplinary knowledge production focusing on 6 casestudy cities in europe i systematically explore tangible and intangible factors and structural drivers of immigrants climate health vulnerability centering and engaging with immigrants as expert knowledgeholders mobilizing knowledge that comes with and through immigration i offer an intersectional justice perspective that considers class gender race ethnicity and other axes of power and oppression when designing and assessing urban climate and health adaptation policy this novel comparative and indepth study will open new paths for research at the nexus of climate health and immigration leading to a shift in how we conceptualize and research climate justice
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innovative ligands for nuclear receptors to eradicate cancer relapse
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the aim of the eradicate international multidisciplinary and intersectoral cancer drug research and development programme is to empower 10 young scientists to become specialists in cancer research and drug development while developing new therapies against cancer stem celldriven relapse and metastasis nuclear receptors such as retinoic acid receptor rar and vitamin d receptor vdr play key roles in many hallmarks of cancer and constitute effective targets for modern cancer therapy to address the eu priority mission cancer we will 1 test the anticancer activity of rar and vdr targeting compounds 2 design and synthesise a highly innovative dual action hybrid compound acting simultaneously as rar antagonist and vdr agonist 3 devise preformulation strategies for our compounds 4 and develop a novel deep learningbased cancer analysis and diagnostics method we will test how our rar and vdrtargeting compounds affect stemness and metastatic potential in leukaemia breast prostate colorectal and ovarian cancer in parallel we will assess if the panrar antagonist is effective against chemotherapyinduced neutropenia for the development of the rar and vdr targeting compounds into administrable medicines ready for eventual commercialisation we will develop preformulation strategies we will generate a novel and highly innovative labelfree image analysis method based on histoplasmonic cytometry the project will have lasting scientific economic and societal impactin order to be prepared for a wide spectrum of career opportunities we will train the doctoral candidates dcs not only to perform original and independent research on an internationally competitive level but also endow them with creative critical and entrepreneurial mindset coupled with persistence in following their objectives our consortium consists of 8 academic and 1 industrial beneficiary as well as 12 associated partners to provide training and secondments
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improving treatment efficacy in hypertension by biomarkerguided personalised decision support
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in htadvance we aim to revolutionise personalised management of arterial hypertension ht by using multiomics momics stratification biomarkers as companion diagnostics for the prescription of existing drugs ht is the most important global risk factor for death and morbidity but is uncontrolled in more than 50 of patients causes of treatment failure include lack of identification of secondary forms such as endocrine hypertension eht which can be curable by specific therapy in addition there is variable response to individual drugs and trialanderror treatment leads to poor ht control and frustration for both patients and cliniciansthe objective of htadvance is to validate two multicomponent stratification biomarkers in patients with ht in order to i identify patients with eht and ii predict response to treatment in patients with primary hypertension the hypothesis is that momics biomarkers reflect specific forms of hypertension and susceptibility to specific drugs to this end we will run three clinical trials htendo httreat and htpredict and apply machine learning techniques to integrate the genetic genomic and metabolomic features that constitute the momics biomarkers in order to generate accurate diagnostic and therapeutic response predictions for clinicians we will also perform economic evaluation of the use of momics for the treatment of ht produce ethical and legal recommendations for clinical decision making and develop a plan for their implementation as companion diagnosticsthe study will be conducted by several ht centres of excellence and will build on the success of the ensatht project that has established methods and pipelines for integrating datasets derived from multiple platforms we expect that htadvance will provide a step change in the management of ht by enabling a personalised more efficient and costeffective treatment strategy and importantly will prevent the ensuing cardiometabolic complications
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genomedia a personalized medicine tool for diabetes
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diabetes mellitus affects nearly 600 million people worldwide it is a major cause of premature death blindness end stage kidney disease and limb amputation however it is not a single disease most patients are catalogued as type 2 diabetes which is itself highly heterogeneous while others have autoimmune type 1 diabetes genetic testing is currently able to define the precise cause of diabetes in a small group of young patients although the categorization of diabetes subtypes is in most cases largely based on clinical judgement rather than on specific tests it is known however that the classification of diabetes subtypes has major implications for treatment the emergence of whole genome sequencing in clinical practice provides new opportunities for classification of diabetes subtypes but also entails major challenges such as the interpretation of non proteincoding variants the recently funded erc project decodediabetes analyzed sequences from nearly 1500 young patients who had typical features of genetic forms of diabetes but negative genetic tests in specialized genetic diagnostic laboratories this study revealed different groups of genetic variants that cause diabetes in young patients with diabetes it also developed approaches that leverage regulatory genomic knowledge to define noncoding genetic defects underlying human disease the current proposal aims to compile new findings with existing knowledge and to build a genetic interpretation solution to subcategorize young patients with diabetes it will then validate this tool in patient cohorts this proposal can thus translate fundamental knowledge derived from the ercfunded decode diabetes project into applications whose valorization can bridge the gap to market and provide added value for society
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neural correlate for the perception of others reward
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perceiving what others feel is one of the most fascinating traits of humans as social animals it is believed that sharing emotions is critical to facilitate social coordination empathic experiences and prosocial behaviors over the past decade thanks to a groundbreaking emergence of neuroscience tools it has been possible to explore brain activity systematically across humans primates and rodents in emotional transfer tasks up to date studies have focused on the transfer of negative emotions such as pain fear and distress despite the importance of affiliative interactions and perception of positive emotional states from others in shaping how animals behave socially it is surprising that the transfer of positive emotional states has been virtually unexplored to fill this gap i propose arrow where i will dissect the neural circuit mechanisms of the perception of others positive emotions using a recently developed vicarious reward task for rodents i will ask how the perception of the rewarding states from conspecifics is implemented at the single neuron level in the ventral tegmental area vta and modulated by longrange neuronal circuits projections to and from the anterior cingulate cortex to address this aim i will build on my previous in vivo electrophysiology skills and leverage on the stateoftheart expertise of dr mrquez in studying social behaviors using quantitative approaches and neural circuit manipulations and dr charlet in dissecting neuron circuit functionality this bold and innovative project is not simply incremental but will provide groundbreaking research on a fundamental brain function that is currently understudied finally i will use this funding to catalyze my career as a future influential principal investigator building the foundation for my future independent research aiming at how such neural mechanisms are impaired in disease
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musae a humancentred factory for a future technological sustainable development driven by arts
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the european economys digital transformation dt is crucial for preserving and boosting international competitive advantages digital european programmea green and sustainable transformation is a vital step for protecting the health and wellbeing of citizens from environmentrelated risks and impacts where digital techs are considered a critical enabler for attaining the european sustainable development goals sdgs it is urgent to define innovative rd models to systematically integrate artistic collaboration in digital innovation hubs to provide companies with new forms of transdisciplinary collaboration aiming to explore future scenarios for technologies application using artistic practice to anticipate innovative products and services to meet the sdgs for innovation towards a sustainable and healthy planetthe project aims to set up the musae factory model based on the design future artdriven dfa method to be included in the edihs to strategically guide digital technology innovation and address future challenges in the food domain to improve people and planet wellbeing musae will build on a dfa method that merges the design futures method by polimi with art thinking approach by starts partner gluon and ub school of art the dfa will help artists envision future scenarios 510 years critically reflect on them and collaborate with technology providers to develop new technological solutions that meet the future humanity needs with a humancentred approach opening up new markets and activities four technological partners will empower the approach by bringing relevant expertise in artificial intelligenceub wearablesabacus roboticspal humanmachineinteractionuom to validate replicability the musae project will set up and activate one factory within the dih partner made and create the factory model pack that will allow other dihs to adopt it the project focusing on food as medicine includes an expert in food and wellbeing themes ucd
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the interchange between democratic institutions and the globalisation of the economy
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following world war ii globalisation and market liberalisation triggered a period of unprecedented growth recently these trends appear to reverse whereby globalisation and corporations started to pose challenges for liberal democracy social cohesion and environmental sustainability demotrans is an impactdriven research project that will provide theoretically and empirically robust recommendations on how to reinvigorate democratic governance by improving the accountability transparency effectthe notion that liberal representative democracy is in some form of crisis or even a terminal decline has been brought forward by numerous scholars for a recent review see bickerton accetti 2021 while the globalisation and liberalisation of markets triggered a period of unprecedented growth as well as improvements in standards of living and consolidation of liberal democracies in the decades following the second world war we have recently witnessed a substantial reversal in these trends today globalisation and global corporations rather appear to bring challenges to liberal democracy social cohesion as well as the environment the academic literature studying these developments often focuses on describing and interpreting what is going wrong however the key challenge is to outline and understand the new type of politics that is emerging in its place as well as to envisage and develop the contours of new promising approaches to reembed democracy and capitalism this key challenge lies at the heart of the demotrans project and we address it by bringing together a multidisciplinary consortium of six experienced and leading research groups from four european research universities and an ngo with a strong track record building on their wideranging expertise demotrans will develop novel theoretical and empirical academic research aimed at robust recommendations that encouraging stronger democratic accountability and inclusion in economic processes
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transforming pruning for smallholder agriculture with enhanced productivity and working conditions using ar and robotics
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agrimate focuses on transforming pruning tasks for smallscale farmers by using augmented reality ar and robotics technologies enriched with artificial intelligence ai tackling the significant challenges and labourintensive aspects of pruning in highvalue crops like olive groves and vineyards agrimate introduces an innovative and scalable solution this solution relies on an artificial intelligence module capable of learning from expert human knowledge to address tree pruning challenges this module extends its functionality to the solution through various tools from a learning tool that adapts to the users knowledge to an augmented reality solution providing realtime guidance during the pruning process with the human at the centre it seamlessly integrates with two different robotic solutions either assisting the user with exoskeletons or autonomously performing tasks with a highly advanced robot additionally agrimate incorporates a comprehensive assessment tool designed to evaluate the solutions impact not only on farmers but also on rural communities this holistic approach aims not only to enhance productivity and resource efficiency but also to improve social inclusiveness and working conditions within the agricultural sector by forging a consortium of leading research institutions smes and agricultural stakeholders from across europe agrimate is at the forefront of cultivating sustainable technologically advanced and socially responsible farming practices ultimately agrimate stands as a beacon of innovation in agricultural technology keenly aligned with the eus broader goals of digital transformation environmental sustainability and socioeconomic equity showcasing a path forward for future farming that prioritizes both yield and community wellbeing
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rethinking global supply chains measurement impact and policy
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the changing nature of global supply chains requires a rethinking of gscs in the design of appropriate policy responses and in taking into account their employment and social impacts the overall goal of rethinkgsc is to enhance our understanding of the impact of gscs using new measures that can quantify the role knowledge flows and more generally services inputs and thus acknowledge the increasing importance of intangibles in global production the project provides new and innovative methodologies for assessing the development of global supply chains which generates new knowledge on ongoing and expected changes in gscs due to shocks the research both theoretical and empirical will be conducted mainly at the level of the firm the unit that ultimately decides on the organisation of international production using the rethinkgsc innovative measures allows the projects researchers and future scholars i to investigate the interaction between tangible and intangible gscs to evaluate the changing nature of global supply chains ii to provide novel ways of analysing the impact of gscs on social economic and environmental outcomes in european countries and iii to evaluate the resilience of gscs to exogenous shocks furthermore the project elaborates policy scenarios for expected future gsc developments this new evidence contributes to enhancing policy developments related to ensuring level playing fields in trade relations and ensuring security of strategic supplies throughout the project stages researchers will collaborate closely with an advisory board consisting of a group of stakeholder experts from national governments business associations social partners and international organizations finally and important to the projects continuing impact the newly constructed measures of knowledge and service flows along gscs will be made available to the wider community for research and policy analysis after completion of rethinkgsc
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democracy autocracy and international cooperation
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one of the most consistent findings in the study of world politics is the positive relationship between democratic regimes and international cooperation yet events in recent years suggest a more complicated picture several democracies have withered in their support for international organizations while autocracies simultaneously have stepped up their commitments to cooperation this project will use recent developments as a backdrop for launching a new research agenda on the relationship between regime type and international cooperation guided by the overarching question of why how and under what conditions regime type affects international cooperation this project will conduct the most systematic and comprehensive analysis so far of this relationship theoretically it will break new ground by developing a novel framework for identifying how regime type may have varying and conditional effects on international cooperation empirically it will be more comprehensive than any previous research effort examining this relationship over a longer time period and across a broader range of international cooperation based on an extensive new data collection methodologically it will leverage an ambitious multimethod design combining largen statistical analysis experimental analysis and indepth case analysis in a complementary fashion and with a comparative orientation in addition the project will be policy relevant by generating insights on the resilience or not of international cooperation in an age of democratic decline
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wideranging probabilistic physicsguided machine learning approach to break down the limits of current fatigue predictive tools for metals
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it appears paradoxical how todays frontier highimpact research seeks for designing new materials to delay structural failures especially fatigue while the same effort is not seen concerning the way materials can be efficiently and safely used in real structural applications breakdown aims to transform engineering products design methods by identifying and including a set of submicroscale material inhomogeneities characteristics in a novel probabilistic framework the time has come to exploit modern experimental techniques to probe material properties at a small scale which are scarcely involved in current fatigue characterisation schemes to attain this very ambitious goal the project will rely on a breakdown of different classes of inhomogeneities to advance the fundamental mechanical understanding of their contribution to fatigue and then reunite them within an advanced bayesian physicsguided neural network bpgnn frame over the past three years i assiduously worked to prove the feasibility of breakdown and demonstrate its superior capabilities however i have merely scratched the surface of what is potentially achievable with this approach both in terms of knowledge advancement and real engineering applications an extensive multimodal experimental characterisation campaign will be conducted on different material inhomogeneity states to separate and identify their individual influence on fatigue in a systematic and detailed way cuttingedge numerical analytical models will be developed and exploited as the physics knowledge in the bpgnn scheme to effectively tackle the small datasets issue when dealing with fatigue and to ensure soundness of results the outstanding capabilities of the framework developed in breakdown will be confirmed through specific demonstrators breakdown will excellently contribute towards the development of a much more sustainable design procedure with unprecedented social economic and environmental benefits
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fairness and intersectional nondiscrimination in human recommendation
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findhr is an interdisciplinary project that seeks to prevent detect and mitigate discrimination in ai our research will be contextualized within the technical legal and ethical problems of algorithmic hiring and the domain of human resources but will also show how to manage discrimination risks in a broad class of applications involving human recommendationthrough a contextsensitive interdisciplinary approach we will develop new technologies to measure discrimination risks to create fairnessaware rankings and interventions and to provide multistakeholder actionable interpretability we will produce new technical guidance to perform impact assessment and algorithmic auditing a protocol for equality monitoring and a guide for fairnessaware ai software development we will also design and deliver specialized skills training for developers and auditors of ai systemswe ground our project in eu regulation and policy as tackling discrimination risks in ai requires processing sensitive data we will perform a targeted legal analysis of tensions between data protection regulation including the gdpr and antidiscrimination regulation in europe we will engage with underrepresented groups through multiple mechanisms including consultation with experts and participatory action researchin our research technology law and ethics are interwoven the consortium includes leaders in algorithmic fairness and explainability research upf uva unipi mpisp pioneers in the auditing of digital services aw eticas and two industry partners that are leaders in their respective markets ade rand complemented by experts in technology regulation ru and crosscultural digital ethics eur as well as worker representatives etuc and two ngos dedicated to fighting discrimination against women wide and vulnerable populations prak all outputs will be released as open access publications open source software open datasets and open courseware
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history of care in the maghreb infectious diseases healthcare infrastructures and international aid 19561999
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the hicama project explores the development of healthcare in the maghreb region by examining the historical interactions among national sanitary institutions civic experiences of health outreach and international institutions involved in global health preservation the covid19 pandemic has demonstrated the strategic importance of studying infectious diseases in a variety of contexts and from multiple angles focusing on containment and eradication programs against infectious diseases promoted over the second half of the twentieth century hicama examines the efforts made by maghreb independent countries against the spread of diseases with both a respiratory and a sexually transmitted nature the project conceptualizes the fight against infectious diseases as a first and yet enduring test for healthcare systems viability in the region hicama adopts a multilayered perspective to assess local national and international implications of the phenomenon it takes into account algerian moroccan and tunisian sanitary endeavors against infectious diseases the role of international donors who world bank usaid in directing maghrebi healthcare politics and considers the local and gendered practices of care implemented by associations active for decades to promote outreach programs drawing on archival sources official and press sources and interviews the project employs a novel methodology that combines archival research oral history institutional and gender analysis by recasting the healthcare as a prism through which nationbuilding international relations and local activism can be reassessed a methodology reproducible also in other contexts hicama aims to have a major impact on the history of the modern maghreb ultimately hicama includes research communication and dissemination activities in the maghreb europe and the united states that will enhance the fellows research skills and her global approach in studying the history of the mena region
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heterogeneous asymmetric nanoclustercatalysis design
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chirality plays a major role in several areas due to the different behavior of each enantiomeric form of a compound critical in the pharmaceutical industry obtaining pure enantiomers is one of the most difficult challenges in which homogeneous asymmetric catalysis has achieved significant steps now it is time to undertake the challenge by heterogeneous enantioselective catalysis implying great advantages in terms of sustainability and offers further opportunities for indepth understanding of mechanisms at the molecular level relevant in multidisciplinary fields however successful design of such processes requires understanding and control of all relevant steps which requires welldefined catalysts designed at atomic level a new class of atomically precise nanomaterials that offers ample opportunities to explore chirality at the fundamental level are the monolayer protected metal nanoclusters which exhibit unexpected catalytic and intrinsically chiral properties the hand project aims to tackle actual challenges in heterogeneous asymmetric catalysis and achieve enantioselectivity with chiral nanoclusters on surfaces designed at atomic level after creating chiral clusters active in homogeneous asymmetric reactions we will control their immobilization on the support surface and their chiral properties such atomically precise chiral surfaces will allow us to overcome sensitivity barriers of available chiral spectroscopic techniques improving studies of chirality at surfaces finally having a welldefined chiral surface asymmetricenantioselective model reactions will be explored aiming to obtain pure enantiomers each process step by itself represents a novel pioneering work in the field of nanoclusters and asymmetric catalysis so far mostly unexplored the fabrication and understanding of such a new class of chiral surfaces at the atomic level represent a breakthrough in knowledge relevant for materials science nanotechnology and medicine
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an european and iberoamerican approach for the digital collection analysis and dissemination of folk music
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music is an element that is present in our daily lives there are different styles of music including classical jazz pop rock etc there is a kind of music folk music which is of great interest due to its peculiar characteristics and the social context it represents or has represented this music is a form of social and cultural identification that allows us to twin and recognize ourselves as folks and also to promote cultural diversity through knowledge of other music this project proposes creating a platform that contains and presents information about folk music from european and iberoamerican culture the main goal is to create a whole paradigm in which folk music can be understandable from a ethnomusicological musical and educative point of view furthermore we aim to bring folk music closer to the public creating an interactive and attractive platform that incorporate multimedia information audio files scores visual information about patterns and similarities etc as the platform will be open to the common public all people that might be interested in folk music can get access enjoy the resources or even submit their own materials our goal is aligned with three main pillars i create a new paradigm to make the musical and ethnomusicological analysis easier for the community ii show knowledge discovery through the application of new technologies in the platform iii bring folk music to educative and public environments our project complies with the digitalization pillars proposed in the strategic plan of msca through the inclusion of computer sciences technologies to get a new vision in music analysis it also helps to create a more resilient inclusive and democratic european society and includes actions that are also mentioned in the cluster culture creative and inclusive society through the inclusion of folk repertoires that reflect cultural issues from different european and iberoamerican regions
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bioelectrochemical transformation of co2 for the synthesis of valueadded products
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the ongoing climate crisis and accelerating production of greenhouse gases such as carbon dioxide has sparked a sense of urgency in the scientific community to come up with solutions to sequestrate andor recycle co2 co2 is a rather stable molecule that needs a high energy input to be chemically activated and applications to utilize co2 effectively are still in their infancy with several research gaps that need to be filled in this proposal we will use a new biotechnology named microbial electrosynthesis mes that has the ability to use a number of aqueous and gaseous wastes including co2 and biotransform them into useful chemical commodities in order to use mes for practical and largescale applications utilization of co2 from exhaust gases should be the target we will fabricate and use gasdiffusion electrodes gdes enabling microbial catalysts to take up co2 gas directly and more efficiently solving the problem of low co2 solubility in aqueous media and mass transfer limitations this project will develop a novel dual biocatalyzed mes consisting of an efficient gas diffusion biocathode for co2 sequestration in combination with a bioanode for simultaneous product valorization from glycerol using different biocatalysts including enriched and engineered synthetic communities the use of microbial catalysts both at the anode and cathode will significantly increase efficiency and product specificity of the mes system which is low with chemical catalysts furthermore the application of a bioanode based on oxidation of a cheap industrial byproduct such as glycerol not only generates higher energy electrons for the gde biocathode saving energy but also leads to production of added value compounds making the process more energy and cost efficient
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electrical tomography for phase change monitoring
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heatingcooling demands represent more than half of energy consumption in households and drive most of energyrelated ghg emissions in the residential sector to achieve decarbonisation goals heatingcooling demands must be supplied with heat pumps driven by renewable electricity however the mismatch between energy availability and heatingcooling demand needs to be reconciled with lowcost efficient and flexible energy storage latent thermal energy storage ltes with phase change materials pcms is becoming a key enabling technology for lowcarbon heatingcooling however smart control of ltes systems require monitoring of the liquid fraction which determines the total stored energy the present research proposal et4pcm aims to develop a firstofakind smart noninvasive versatile impedance sensor to evaluate in realtime the liquid fraction evolution of pcms in ltes the et4pcm sensor will provide detailed information regarding phase distribution evolution during freezingmelting of pcms in macrocapsules spherical or cylindrical shells the project planning contemplates four key tasks which correspond to the subobjectives so1 characterization and enhancement of electrical properties of pcms so2 design of the electrical sensing system so3 experimental implementation and validation of the proposed sensing system and so4 validation of et4pcm technology in a real ltes the research approach involves experimental numerical and theoretical research activities i dr carolina mirahernndez will develop the et4pcm project under the supervision of pr simone mancin at university of padua unipd who is renowned expert in ltes in addition i will spend 3 months during a secondment at the startup cowa where i will deploy the et4pcm sensor in a realworld ltes and i will have a nonacademic placement at hexxcell a consulting company on predictive analytics where i will develop in silico smart control tools for ltes
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lowering underwater noise radiation from waterborne transport
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underwater radiated noise urn by ships is one of main anthropogenic sources of noise in the marine environment transport by ship has been hailed as a green mean of transportation at the same time trapped under the water surface the noise has been overlooked when considering the impact and the effects of human activities on marine species on 11 march 24 a notice from the ec has been issued on the threshold values for the marine strategy framework directive 200856ec for continuous urn the threshold for the habitat size of target species exceeding the level of onset of biologically adverse effects lobe has been set to 20 while this notice does not set a specific limit for ship noise levels it requires member states to evaluate the state of conservation of waters and take actions as needed many projects have brought to light that the marine environment is influenced by marine traffic to a level and in ways that were not obvious to predict eg aquo project has drawn attention to the effects on different marine species sonic looked into the noise generated by cavitating propeller both projects led to the development of a series of criteria to quantify the harmfulness of urn and measures to reduce it though without demonstrating the measures in full scale these projects were followed by piaquo and saturn that have moved the focus towards regulating the noise emission of ships and implementing solutions for its reduction the lownoiser project aims to bring the effort towards quieter ocean closer to reality than previous projects by showing the effectiveness of noise reduction solutions ie technologies measures and management strategies that have a high trl with fulllarge scale demonstrators also the project is developing better tools for predicting urn showing that noise reduction solutions are environmentally friendly in the sense of ghg emissions while being economically viable and safe
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innate behavioral modulations across different life stages
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the balance of risktaking and avoidance is essential for survival across different stages of life an animals priorities shift which is reflected in changing behavioral preferences both during adolescents when typically more risks are taken to facilitate exploration and parenting when avoiding risk is prioritized to ensure the safety of their young these behavioral changes are correlated with distinct changes in hormonal levels in mice recently weaned adolescents exhibit high levels of corticosterone while parenting mice have increased oxytocin the principles of how these changing hormonal levels impact the processing of information in neural circuits is poorly understood visually evoked avoidance behaviors are triggered through circuits of the superior colliculus here i will uncover how changing hormonal levels act to influence the processing of visual stimuli arriving from the retina and the resulting behaviors eg freezing or escape i will determine how this circuitry is affected by hormonal changes occurring across different life stages and whether these changes explain the resulting changes in behavior to accomplish this i will measure changes in innate defensive behaviors at different life stages then identify the underlying circuit mechanisms involved my expertise in precise circuit dissection in the retina provides me with the ideal background to uncover the mechanisms underlying the hormonal modulation of circuits in the superior colliculus recent technological advancement in functional imaging and largescale electrophysiology along with new understandings of cell types and pathways of the superior colliculus provide the appropriate opportunity to identify the local and global modulations of visual processing driving hormone dependent changes in innate defensive behaviors overall this research will provide valuable insight into how hormonal fluctuations allow animals to adapt to their changing needs across different stages of life
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breaching the boundaries of safety and intelligence in autonomous systems with riskbased rationality
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autonomous systems able to comprehensively assess and model risks would be a scientific breakthrough leading to highly intelligent system behaviors safe interactions in unstructured environments and public trust currently risk perception is an important part of human cognition not adequately implemented in the situation awareness control and decisionmaking of autonomous systems therefore this project addresses fundamental research challenges related to riskbased autonomy and safe and efficient shared control with human supervisors the aim is to develop powerful risk modelling and builtin risk control solutions closely connected to riskbased decision support for human supervisors intheloop the outcomes of the project will allow for new safe and advanced types of transport mapping and monitoring of oceans and land and inspections of structures difficult to access although there are a few preliminary concepts coupling risk models with control algorithms and artificial intelligence ai a fundamental framework providing riskbased control and decision support for both the autonomous system and human supervisors does not exist in breach i will establish such a framework constituted by quantitative risk models merged with datadriven approaches simulation and modelbased approaches integrating hardware software human and environmental risk elements the complexity of the framework will gradually evolve in two parallel tracks along with demonstrations for mission planning and execution for autonomous marine organizations the focus on marine systems is due to the demanding challenges in that domain and my knowledge and experience as a researcher in the centre of excellence on autonomous marine operations and systems ntnu amos for several years i have contributed to fundamental research related to risk management of autonomous marine systems which has convinced me that this project will be a major leap forward with great impact
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low radon and low internal radioactivity for dark matter and rare event xenon detectors
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the astrophysical and cosmological evidence that the majority of matter in the universe must consist of exotic dark matter is overwhelming but it is not yet clear what dark matter really is very promising candidates are wimps the detection of which would also solve other pressing questions in particle physics for the search for wimps liquid xenonbased detectors are by far the most sensitive the collaborations lz xenon and darwin joined to build a next generation detector darwing3 with a sensitivity limited only by coherent neutrino scattering such a detector will not only search for dark matter but will become an observatory for rare event searches axions solar neutrinos neutrinoless double beta decay despite construction in underground laboratories and with further shielding or veto systems for muons or neutrons the sensitivity of these detectors is limited by radioactive decays within the xenon especially of the radioactive noble gas isotopes 222rn and 85kr dominating the background of current xenonbased dark matter experiments in this project we want to push the possibilities of cryogenic distillation to continuously reduce 222rn and 85kr to an unprecedented level of 1 atom per 100 mol of xenon 10 mol in case of 85kr which will make their background contributions at darwing3 to be a factor 10 smaller than that of the unshieldable solar neutrinos our cryogenic distillation setups which obtain their cooling power from a novel heat pump concept offers the additional benefit of determining the impurity concentrations insitu we will integrate the novel distillation systems with the removal of electronegative impurities and their diagnostics into a compact cleaning system within lowrad we aim to provide a complete quasi lossless continuous 85kr removal system ready for darwing3 in addition we will explore how several important physics channels would become possible due to the extremely low 222rn and 85kr concentrations
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biopesty safe and ecofriendly biopesticides made by yeast fermentation
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chemical pesticides pose significant threats to human health and biodiversity causing millions of poisonings and deaths annually along with a potential 40 decline in insect species to mitigate these hazards the european commission has committed to reduce the use of chemical pesticides by 50 by 2030 biopesticides such as pyrethrins offer a safe and effective alternative towards this direction pyrethrins are natural biodegradable compounds with potent insecticidal properties produced by tanacetum cinerariifolium plant dalmatian chrysanthemum as they are safe for humans and rapidly degrade into nontoxic byproducts they are approved already for organic agriculture however pyrethrin industrial production occurs via plant cultivation and extraction therefore faces restrictions due to limited availability of land laborintensive cultivation and environmental factors scaling up production is challenging and total chemical synthesis is unsustainable biotechnological production of pyrethrins using bakers yeast offers a sustainable solution to achieve this in biopesty i will develop a yeast strain engineered to produce pyrethrins in a scalable and sustainable manner using a multidisciplinary approach engaging biochemistry transcriptomics and synthetic biology principles i will identify the only missing step of pyrethrin biosynthesis and i will reconstruct the whole pathway in yest able to convert simple sugar into humansafe biopesticides in biopesty i will enrich my current knowledge on plant biochemistry with the training i will receive in the host lab on metabolic and yeast genetic engineering and synthetic biology to acquire unique expertise that will prompt me to develop my own scientific niche during biopesty i will be trained also in fundraising research management communication teaching and academic leadership these skills will be instrumental in launching my future independent internationally competitive research career
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future oriented renewable and reliable energy sic solutions
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driven by the continued effort to combat the climate change and achieve carbon neutrality the composition of the energy sources and consumers connected to the electrical grid is rapidly changing an increasing amount of issues are being experienced by distribution system operators while trying to accommodate new systems like renewable energy sources or electric vehicles charging infrastructure one of the possible solutions is to develop a dc distribution infrastructure which is especially interesting as most of the new connections mentioned above are native dc sources and loads respectively this requires low cost very efficient and compact dcdc converters from lv 1500v up to mv 10kv however currently no commercial solutions exist on the market the aim of this project is to develop and demonstrate a commercial dcdc converter prototype which can be introduced to the market within short timescale 3 years after completion of the project to achieve such an ambitious target the project team has decided to focus on the development of ultra high voltage uhv sic based switching devices which would allow for a remarkable simplification of the converter topology as well as a very compact design when coupled with high frequency operation for this purpose the project aims at the design fabrication and testing of 15 kv sic igbts modules the choice of the device technology is based on previous studies which point towards a breakeven voltage between sic mosfet and sic igbt just above 10 kv highly relevant both cost and environmental impact reduction of the fabrication processes will be targeted using novel approaches for material growth and semiconductor processing at the same time another major target of the project is to understand reliability issues affecting different converter components such as uhv switching devices passive components and medium frequency transformer associated with high switching frequency and high voltage environment
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