Dragon09/odtu_chatbot huggingface dataset:
climate change citizens engagement toolbox for dealing with societal resilience

climate change is one of the most critical issues to tackle today as it is foreseen to have detrimental social environmental and economic impacts in the near future the last climate change events such as flooding in germany and belgium in both continental and atlantic regions heat waves and lack of water in both mediterranean and boreal regions show that the policymakers experts and stakeholders actions are not enough and a 360 citizens engagement is urgently needed therefore we need to learn from the good experience in citizens engagement in climate change action and build up citizens supporting infrastructure for climate adaptation measures to help the 150 european regions and local communities to resist climate assemblies and living labs are considered as sustainable and reasonable tools to stimulate deliberative democracy in climate policymaking the ambition of the current project is to support a transformation to climate resilience by offering an innovative problemoriented climate adoption toolbox codesigned together with stakeholders by applying a valuesbased approach design thinking methods and citizen science mechanisms it is expected that the use of the toolbox will anticipate possible tensions points of controversy and dilemmas visavis the adaptation to resilience therefore enabling empowerment and engagement strategies that produce a society resilient by design in addition climas will include the empirical component for testing this toolbox and formulating scientificbased guidelines for policymakers on how to shift climate assemblies from technically based deliberations that belong to climate change experts to multistakeholders deliberations based on solving the dilemmas from a bottomup more societal and valuebased perspective climas outcomes will positively influence policy development and awarenessraising process and offer sustainable strategies to enhance the acceptance of citizens led decisions by policymakers
commercial feasibility of a cellfree reactor setup for optimisation of complex enzymatic pathways

this project will explore the commercial feasibility of the first continuous stirred tank reactor solution for the synthetic replication and optimisation of complex enzymatic pathways our technology provides an urgently needed alternative for bioengineered organisms where normally raw materials of varying quality competition between intermediates toxicity complex networks of feedback loops and other poorly understood factors limit production rates our approach can be used to converge effectively to optimised biochemistry as part of the project we will establish two industrially relevant pathways advance the software solution of our platform and develop a commercialisation strategy
revolutionizing olefin production with the electric high mach steam cracking reactor

power to heat p2h is expected to be the first type of electrification that will drastically transform the chemical industry this holds in particular for producing its major building blocks the 300 mtyr light olefins via steam cracking at more than 800c ecracker will implement p2h by socalled shockwave heating enabling an increase in temperature to 1000c in 10 ms an order of magnitude faster than the current furnacebased technology in a revolutionary highmach reactor when combined with insight in the pressuredependence of the cracking chemistry this will allow to avoid undesired side reactions and to increase olefin yields of ethane and plastic waste derived naphtha cracking by 10 wt compared to yield gains of 01 wt at best when applying alternative p2h such as resistive heating ecracker will 1 generate new fundamental understanding of shock wave heating and kinetics under sub and supersonic conditions 2 demonstrate the practical applicability of an opensource high fidelity multiscale modeling platform in combination with finite rate chemistry for turbulent reacting and rotating flows 3 develop a compact energyefficient electrified highmach reactor generating shockwaves and minimizing side products by avoiding backmixing 4 pave the way to avoid more than 200 mt co2yr emissions with a scalable flexible stepbystep implementable technology driven by renewable electricity starting from fundamental local and global nonreactive data collection wp1 and a highfidelity open source multiscale modeling framework wp2 novel 3d reactors will be designed in silico using advanced optimization wp3 the power of the approach will be demonstrated in a 3dprinted highmach reactor which by operating under unconventional cracking conditions lower pressures and faster heating achieves yield increases of more than 10 wt wp4 contributing in a decisive way to the transition of the chemical industry
fourier interpolation and extremal problems

in 2006 cohn and kumar have conjectured that the a2 lattice is universally optimal meaning that it has the lowest potential energy among all configurations of the same density for all completely monotone potentials this conjecture has several very important corollaries among other consequences it is known that it implies a positive solution to the 2d crystallization problem a major unsolved problem coming from materials science and it also implies a conjecture on the emergence of the triangular lattice of abrikosov vortices in the landauginzburg theory of superconductivityrecently the 8 and 24dimensional cases of the cohnkumar conjecture have been positively resolved using novel interpolation formulas for radial schwartz functions this formula recovers a radial function from the data of it and its fourier transform on a discrete set of radii and its construction uses classical modular and quasimodular formsin this project we will prove a significant generalization of these interpolation formulas with a view towards applications in extremal problems in fourier analysis to prove these formulas we will develop new analytic and numerical techniques for solving certain types of functional equations in one complex variable finally based on these proposed interpolation formulas we will give a refinement of the cohnkumar conjecture in dimension 2 and use it to attack the full conjecture in this case
patientspecific microstructural and radiobiological model for personalised external beam radiationn therapy in localised tumours

externalbeam radiotherapy has been established as best practice care in different cancer cases although current models applied in the clinics to tune the treatment plan dosimetry as a function of the expected tumour response and radiationinduced toxicity do not make use of patientspecific information but rely on radiobiological parameters typically derived from invitro experiments thus abdicating from describing the invivo complexity of the pathology minions is a cuttingedge research programme that investigates and integrates a set of activities to implement patientspecific microstructural and radiobiological models in personalized radiotherapy treatment planning and adaptation towards a detailed description of tumour characteristics of each patient and thus significantly improved tumour control probability the main challenge of minions is to create for the first time a realtime patientspecific model able to describe the microscopic characteristic of the tumour and its interaction with the radiation beam the scientific activities of minions are to achieve and merge i montecarlo mc simulations of diffusion magnetic resonance dwmr signals and radiationtissue interactions on a library of insilico cellular substrates to obtain an integrated simulation platform ii realtime artificial intelligencebased techniques to accelerate mc simulations and make them compatible with fast treatment planning and adaptation ii advanced dwmr imaging to retrieve noninvasively the information required to feed the simulation platform for the implementation of patientspecific microstructural and radiobiological models the design of invivo and exvivo tests allows validating the model performance and the collaboration of researchers engineers and clinicians will drive the use of this innovative strategy in clinical routine to increase survival and quality of life for a wide range of cancer patients
sensors and ecofriendly foodgrade materials for a sustainable and smart food storage and quality monitoring

promoting circular economy approaches is critical to decrease the environmental footprint of food production activities however there are still inefficiencies at all stages of the food supply chain hindering sustainable food production in this line to contribute to sustainability in the last part of the food supply chain serenade proposes a multidisciplinary approach combining three pillars food sensors and materials technologies with the objective of building smart sustainable solutions targeting the reduction of food waste at the end of the food supply chain households supermarkets and food retailers thus serenades main goal is to develop sustainable innovations for food quality tracking while training at the same time a new generation of 7 multidisciplinary doctoral candidates dcs in the fields of food technology sensor technology artificial intelligence ai and ecofriendly materials circular economy and allowing them to work in team with experts in other disciplines these innovations will result in the development of i a smart and sustainable food container for monitoring food freshness at households and markets using sensor technology and made of novel foodgrade materials biobased or recycled and ii a handheld food spoilage analyzer combining sensor technology and artificial intelligence ai software to determine food freshness in unpackaged food at marketsto achieve the development of said monitoring solutions the close collaboration of experts in the three research pillars of the serenade project and the training of multidisciplinary researchers in the three fields at the same time will be needed and will be possible thanks to the international and intersectoral cooperation of the serenade partners distributed among 4 eu countries spain germany belgium and italy and to the strong involvement of the industry with the participation and leadership of industrial partners smes and large industries
partition and accumulation of entropy in infinitedimensions

the foundation of todays informationoriented society is based on information theory entropy is a fundamental concept in both classical and quantum information theory measuring the uncertainty and the information content present in the state of a physical system the asymptotic equipartition property aep asserts that the entropy of smaller parts accumulates to produce the total entropy of the entire system under the assumption that the individual parts are identical and independent a remarkable generalization of this property is the entropy accumulation theorem eat which states that entropy accumulation occurs more generally without an independence assumption provided one quantifies the uncertainty about the individual systems by the von neumann entropy of suitably chosen conditional states these two results are central in the asymptotic analysis of entropy measures in finitedimensional quantum systems with a wide range of applications in data compression source coding and quantum key distribution despite major advances in the study of entropy in quantum information theory the fundamental limitations of extending the above concepts to infinitedimensional systems are far from being understood the main objective of this project is to develop novel mathematical tools to overcome these difficulties and extend these ideas in the framework of abstract von neumann algebras in particular our essential goal will be to establish two main concepts asymptotic equipartition and entropy accumulation in von neumann algebras acting on infinitedimensional hilbert spaces as a consequence the generalized version of these two concepts will have direct applications in continuous variable quantum key distribution and other cryptographic protocols representing a small but important contribution to the european commissions quantum technologies flagship supporting pioneering research on quantum science
mobility for urban sustainability and the environment civitas 2030 coordination and support action sustainable and smart mobility for all

the civitas initiative will be led by a new civitas muse coordination and support action from 20232027 coordinated by iclei europe and involving 8 expert partners in total this project will deliver a wide range of services to the european commission and its funded urban mobilityrelated projects to enhance their results through further communication capacity building and exploitation activities these will involve and reach all parts of the urban mobility community particularly civitas project participants and eu cities further dissemination of the state of the art is made possible through civitas muse by enhancing operational structures that involve wider community stakeholders such as the secretariat civinet regional and national networks the policy advisory committee annual conferences a new collective of european mobility networks as well as improving collaboration groups between projects and their partners and their related stakeholders and experts at both a management and thematictopic based level the civitas muse project helps to guarantee the replication of innovative solutions and results through a deployment planning cycle working with cities through capacity building exchanges to promote solutionspecific learning and broad skills development monitoring extracting and communicating the most useful results and information from projects lies at the core of civitas muse with projects supported in employing up to date evaluation approaches civitas muse comes at a key time in the smart and climate neutral cities mission and the achievement of multiple destination goals including those under crosssectoral solutions for the climate transition
3d spheroids derived from single cells for discovering stochastic patterns behind metastasis

metastasis remains accountable for 9 out of 10 fatalities within cancer disease however the mechanisms governing the onset of metastasis are far from being fully understood notably metastases are predominantly clonal and arise from a single cell 3dsecret will investigate metastasis from a radically new perspective with the overarching goal of unravelling stochastic patterns at the singlecell level with predictive and prognostic capacity critically defining the hallmarks of metastasis from holistic studies of single circulating tumour cells ctcs thus dissecting tumour heterogeneity has the power to revolutionise cancer treatment and diagnosis this will pave the way for gamechanging discoveries in what is one of the holy grails of modern clinical science to achieve our goal 3dsecret will use a set of key enabling technologies including microfluidics nanosensors genomics and artificial intelligence ai microfluidics will drive the isolation of single ctcs from whole blood samples of 60 metastatic breast cancer patients these will be grown onchip to form 3d spheroids thus allowing comprehensive genomic and transcriptomic studies of singlecell origin while bypassing the errors typically introduced by singlecell genome amplification the genomic and transcriptomic data will be combined with clinical information singlecell growth profiles and dynamic metabolomic analyses obtained by the use of nanosensors and sers to develop a multimodal ai analytical tool capable of identifying unknown patterns driving metastasis the bold assumption that there could be stochastic patterns driving metastasis cancer evolution and malignancy makes the approach of 3dsecret exceptionally highrisk highgain we are confident that such a breakthrough would lead to a major paradigm shift with significant implications in biology physics disruptive technologies such as ai and critically in the medical arena and patient care
unravelling the evolution of complexes with ancestral sequence reconstruction

almost all proteins perform their functions as part of protein complexes these assemblies are intricate and often beautiful examples of evolutions capacity to generate complexity but are they built by natural selection my recent work has revealed that they may in fact be produced and maintained across vast time scales by neutral processes even if they provide no adaptive benefit at all in this proposal i will test this radical idea by bringing together ancestral sequence reconstruction and quantitative biochemistry of protein complexes i will use this approach to experimentally unravel the evolutionary processes that generate and maintain biochemical complexity in three model systems that exemplify archetypical proteinprotein interactions in the first objective i will unravel what drives the evolutionary gain and loss of homomeric interactions i will recapitulate how the universally conserved enzyme citrate synthase repeatedly underwent changes in selfassembly state i will test if these changes were adaptive or whether they result from new interfaces being highly evolvable in the second objective i will probe why protein complexes evolve to depend on transient interactions with folding and assembly chaperones i will retrace how the co2 fixing enzyme rubisco acquired a set of dedicated assembly and folding chaperones i will unravel whether the initial gain of new chaperone interactions was useful and determine what later caused rubisco to start completely depending on them in the third objective i will unravel if many of the interactions between different complexes are caused by neutral evolution i will use a new experimental approach in yeast to quantify the rate at which complexes gain interactions with the rest of the proteome by chance alone together these experiments will show for the first time how adaptive evolution and neutral processes interacted to produce the intricate biochemical complexity we see inside cells today
verifying emissions of climate forcers

the global stocktake and the success of the paris agreement hinges on the information nations provide about their emissions through national greenhouse gas inventories nghgis current methodologies laidout by the ipcc for reporting emissions are generally built around the use of statistical data and emission factors although they are designed to be transparent they can have significant uncertainties owing to incomplete or inaccurate information the 2019 refinement of the ipcc guidelines highlights the need for independent verification of nghgis especially using atmospheric observations however the technical complexity and the hitherto limited resolving power of atmospheric constraints makes it challenging for nghgi compilers to adopt this type of verification eyeclima will address this need for independent verification by developing observationbased methods using both satellite remote sensing and groundbased observations to a level of readiness where they can be used to determine emissions at national and subnational scales and for verification of nghgis the methodology involves using processbased and datadriven models to simulate ghg fluxes first without atmospheric observations then these fluxes are then combined with models of atmospheric transport and chemistry to assimilate atmospheric observations which are used to correct the first flux estimates through engagement with stakeholders ie nghgi compilers eyeclima will develop flux data products for co2 lulucf sector ch4 n2o and emissions data of fgases sf6 hfc23 hfc143a hfc125 hfc134a hfc32 and black carbon bc which will be tailored to their needs the fluxes will be attributed to natural versus anthropogenic sources and for the latter to source sectors that can be compared with groups of ipcc sectors in nghgis the methodology for the atmospheric inversions and how to use these for verification of nghgis will be described in best practice guidelines
illuminating the role of selfish genetic elements in somatic tissue homeostasis and aging

lifelong tissue homeostasis requires sustained function of differentiated cell types as well as progenitor cells which ensure tissue selfrenewal little is known about the role that nongenic repetitive dna sequences play in the maintenance of cellular homeostasis in divers somatic tissues in vivo transposable elements tes are omnipresent highly repetitive dna sequences that mobilize and propagate within host genomes though previously thought to be fully repressed in the soma tes can be actively transcribed and at least to some extent mobile in certain somatic tissues indeed somatic te activity was proposed to contribute to normal development aging and pathologic conditions such as cancer or neurodegeneration underscoring the potential bearing that these selfish genetic elements could have in the soma nevertheless the dynamics of activity and tissuespecific regulation of te sequences are poorly understood as is the impact of te activity on different somatic celltypes and tissues we have recently uncovered that prevalent tissuespecific te mobility occurs in the drosophila intestine and can lead to gene inactivation and tumor formation here using this powerful and genetically amenable in vivo model system i aim to combine genomic techniques with developmental and cell biology approaches to address the intriguing interplay between tes and somatic tissue function in vivo i will ask 1 how te activity differs between diverse cell types and how it changes in a tissue under normal or pathological conditions as well as during aging 2 what processes control te activity in somatic cells in vivo and 3 what are the direct consequences of te transcriptional activity and mobility on somatic cell function and the longterm impacts at a tissue and organism levelultimately the proposed research program will shed new lights on the importance of mobile dna sequences in the maintenance of lifelong tissue homeostasis in vivo
engineering research infrastructures for european synergies

eries responds to the call infra2021serv0107 research infrastructure services advancing frontier knowledge with the overall objective of providing transnational access to advanced research infrastructures in the fields of structural seismic wind and geotechnical engineering this project together with the research infrastructure team assembled provides access to leading experimental facilities that permit users to advance frontier knowledge and conduct curiositydriven research towards the reduction of losses and disruption due to these hazards the management of their associated risk and the development of innovative solutions to address them that will contribute to a greener and more sustainable society to this end eries will offer transnational access to the best european experimental facilities in each field with new and unique infrastructures available for the first time in this programme along with the provision of a key laboratory in north america it also foresees a key contribution from the european commissions joint research centre as anticipated by the call it integrates the successful results and implementation of the past infrastructure projects such as series and sera and expands access capabilities to new communities and disciplines which were not yet focused on in past projects its anticipated outcome is to provide authoritative input for diverse stakeholders from civil protection agencies to the european seismic building code develop future standards for experimental techniques in earthquake wind and geotechnical engineering and provide a platform from which european researchers can develop innovative solutions and testbed applications of nextgeneration technologies with 12 beneficiaries from 8 countries eries builds an important element toward the reduction of losses management of risk and overall a greener and more sustainable engineering future in europe