Dragon09/odtu_chatbot huggingface dataset:
reconstructing the origin and functional diversification of eukaryotic heterochromatin

chromatin functionally organizes all eukaryotic genomes genomic regions within heterochromatin are transcriptionally repressed and aberrant expression can be lethal heterochromatin is characterized by specific histone modifications but readerrepressor proteins are directly responsible for preventing dnatemplated processes recent studies suggest immense functional diversity of readerrepressor proteins that remains poorly understood understanding this diversity will reveal the ancestral composition and capabilities of eukaryotic heterochromatin and uncover unique heterochromatic systems while exploring heterochromatin in species across the eukaryotic tree of life is key most lineages have not been investigated due to complications with chromatin isolation culturing and genetic manipulation to address these fundamental biological questions and overcome technical barriers i will use a recently developed mass spectrometry method to identify proteins associated with known heterochromatic modifications in 19 species cultured in the sebpedrs laboratory representing all major and several earlybranching eukaryotic lineages to overcome genetic manipulation limitations i will create a synthetic platform to heterologously assess readerrepressor functions of proteins in budding yeast i will use this system to functionally characterize new regulators of heterochromatin from diverse eukaryotes finally i will integrate these and other genomic data in a comparative framework to reconstruct the ancestral composition and evolutionary diversification of eukaryotic heterochromatin overall my project will comprehensively identify the functional conservation and diversity of eukaryotic heterochromatin and create a powerful genetic tool to further explore chromatin function and evolution
intelligent circular lifecycles of industrial robots outdoor power products and electric vehicles

circularity has opened up new markets and business opportunities domestically and outside the eu however opportunities are being missed due to low reuse and recycling rates icircular3 creates a cohort of future leaders in research policy and business through its innovative training programme focused on the circular economy three leading universities supported by four industry partners will address the incorporation of circular economy principles using digital technologies throughout the product lifecycle for three innovative and strategic sectors for the european economy industrial robots outdoor power products and electric vehicleseach sector will explore the possibilities of a circular lifecycle through four perspectives1 product and service design exploring opportunities for circularity in the design of outdoor power products electric vehicles and industrial robots2 reverse supply chains understanding and overcoming recovery barriers in these industries3 users and stakeholders ensuring stakeholder engagement in the transition towards more circularity for instance by engaging outdoor power product consumers in the development of reverse logistics systems and improving the recycling rates of electric vehicles from a consumer perspective4 systems developing digital tools and decision support systems that foster circularityicircular3 will recruit and train 9 researchers to conduct sectorspecific projects related to circular lifecycle perspectives combined together the projects will contribute to the development of new guidelines and digital tools for the integration of circularity in industry as well as the identification of crosssector commonalities the strong academicindustry interaction in icircular3 will ensure the relevance of each research project researchers will receive highlevel industryled research training and professional development courses with a view to open up their career perspectives
gnssr satellite earth observation

gnssr is a technique to carry out earth observation based on reflections on the ground or sea or ice of signals originating from gnss global navigation satellite system signals the proposed project consists of educating a new generation of experts at doctoral level able to bring a qualitative leap to this technology the scientific and technological goal consists of developing such systems based on a synchronized constellation of cubesats an important advantage of this arrangement is the very low cost of cubesats and the possibility to increase resolution based on beamforming from the satellites ground truth as well as some of the methods will originate from nearfield radar technology this will require further research on all segments of gnssr technology and beyond launching and adjustment of cubesat formations rf synchronization interferometry between moving platforms calibration of rf frontends ground testing making use of drones cubesat systems onboard processing data transfer and analysis translation into ground truth and into predictions important for climate change studies and for optimal territory management the project may also benefit to other technologies making use of interferometry such as radioastronomy and phased array based communications it is also expected to assist industry segments making use of gnss signals such as precision agriculture forestry and sea and land management
universal geometric transfer learning

in this project we propose to develop a theoretical and practical framework for transfer learning with geometric 3d data most existing learningbased approaches aimed at analyzing 3d data are based on training neural networks from scratch for each data modality and application this means that such methods first ignore the wider information overlap that might exist across different tasks and object or scene categories and second tend to generalize poorly beyond the specific scenarios for which they are trained even more fundamentally the majority of existing techniques are limited to problem settings in which sufficient amount of training data is available making them illadapted in many practical applications with limited supervisionin this project we suggest to take a fundamentally different approach to geometric data analysis rather than designing independent application or classspecific solutions we propose to develop a theoretical and practical framework for geometric transfer learning our main goal will be to develop universallyapplicable methods by combining powerful pretrainable modules with effective multiscale analysis and finetuning given minimal taskspecific data the overall key to our study will be analyzing rigorous ways both theoretically and in practice in which solutions can be transferred and adapted across problems semantic categories and geometric data typessuch an approach will open the door to fundamentally new tasks and modeling tools applicable to any geometric data analysis scenario regardless of the amount of training data available this would allow for example to track the evolution of biological systems by studying the underlying complex 3d shape dynamics or to analyze variability in object and scene collections consisting of 3d scans of previously unseen shape categories crucial in cultural preservation and life science applications among myriad others
shining light on saturated gluons

in this project the properties of hadronic matter with emergent nonlinear saturation phenomena at extremely large parton densities are theoretically determined this is achieved by studying quantum chromodynamics qcd describing the strong interactions between quarks and gluons at high energiesthere are solid theoretical arguments formulated in the color glass condensate cgc effective field theory to suggest that saturation effects play a major role in hadronic interactions at high energies however so far no clear signal of gluon saturation have been observed this will change when the electronion collider eic starts to measure photonmediated electronnucleus collisions allowing for precision studies of high density hadronic matter in heavy nucleiwe develop the cgc approach to highenergy qcd to the level where for the first time multiple scattering processes can be simultaneously described from the unified framework at nexttoleading order accuracy these developments are necessary to bring the theoretical framework to the level required to probe nonlinear dynamics in the eic erawe extract the nonperturbative proton structure from global analyses and determine if nonlinear qcd dynamics is observable in current collider energies we calculate predictions for the eic and determine how different processes at the eic probe gluon saturation before the eic photoninduced processes at high energies are available at the lhc in ultra peripheral collisions that we use to extract for the first time the effect of nonlinear dynamics on the nuclear highenergy structure at nlo accuracy the fundamentally important results are applied to develop a new description for the initial condition of heavy ion collisions where quark gluon plasma qgp is produced we determine the effect of nlo initial state description on the extraction of fundamental qgp properties and quantify the synergies between the lhc heavy ion program and future eic
city based interventions to stimulate active movement for health

citymove adapts and implements the who global action plan on physical activity gappa in six cities across three continents and develops a crosscontextual evaluation framework for transferability and scalability physical activity is a key behavior to reduce the ncd burden including protecting against cancers and type 2 diabetes there are many evidencebased interventions for cities to promote physical activity yet they remain underimplemented with a wholeofsystem approach particularly lacking and often fail to target the least active or vulnerable groups knowledge gaps are a how to adapt b successfully implement and c evaluate interventions and d how to transfer lessons to other interventions target groups and contexts in partnership with the cities we identified interventions targeting individuals across the life course particularly vulnerable and least active groups aligned with the gappa domains of active people societies environments and systems citymove will 1 develop a citygappa theory of change and operationalise assessment measures 2 adapt citygappa to six cities engaging stakeholders in each context 3 support cities in successful implementation through action research in living labs 4 assess reach adoption feasibility fidelity and sustainability of selected interventions in each city 5 improve the development and utilisation of routinely collected data to support successful implementation 6 generate crosscontextual evidence on implementation evaluation and scalability through multicriteria decision assessment for 12 interventions in six cities and 7 generate global capacity through regional communities of practice citymove results lead to increased physical activity by target populations contributing to reduced premature ncd mortality and to adaptable solutions ready for takeup by implementers
targeting epsteinbarr virus infection for treatment and prevention of multiple sclerosis

multiple sclerosis ms is a chronic inflammatory and degenerative disease of the central nervous system cns it constitutes the most common nontraumatic cause of neurological impairment among young and middleaged people and represents a major healthcare burden our recent research strongly implicates infection by the epsteinbarr virus ebv as the leading cause of ms but detailed understanding of the mechanisms how ebv contributes to the disease and whether targeting ebv could prevent or improve the course remain unresolvedto meet these challenges we have established a consortium with extensive experience in neurology and ms genetics virology and ebv epidemiology immunology clinical trials artificial intelligence as well as stakeholder involvement and responsible research and innovation rriby combining this expertise the consortium takes advantage of highquality health registries existing research cohorts of persons with ms and prospective randomized clinical trials of antiviral therapies targeting the ebv infection in ms the ambitious goals are to answer the questions why only a few ebv infected persons develop ms and define the underlying mechanism of this process as well as clarify if targeting the ebv infection can prevent ms or improve the disease course by answering these questions we would meet the challenges defined in the current call relationship between infections and noncommunicable diseases we would contribute with knowledge to reduce disease burden by providing the health care system with new knowledge to better understand the cause of ms including host risk factors that influence the development of the disease we would also provide a basis for new or improved tools to prevent ms or disease progression healthcare practitioners will gain access to knowledge to guide them on preventive measures and of those persons at risk of developing ms with the ultimate goal of eradicating the disease
fertiliser product recovery from secondary raw materials using best available techniques

fertitec builds upon the knowledge gained from previous eufunded projects such as novafert ferplay mainstreambio soilutions sumanu agrotechnology atlas bferst novafert cinurgi manure standards susfert nutriknow nutriman etc which have explored the potential of waste management and nutrient recovery from various perspectives by integrating the insights and technological advancements from these previous initiatives fertitec is positioned to deliver a comprehensive solution for waste recycling and sustainable fertiliser production from secondary raw materials the principal objectives of this group of related projects that fertitec aligns with and supports are to transform waste into highquality fertilisers promote a circular economy and mitigate environmental impact thereby aligning with the eus goals of sustainable agriculture waste reduction and bioeconomy enhancement fertitec is commited to develop competitive fertilisers that are not only benefit agricultural yield but also promote a circular economy model aligning with the eus strategic focus this dual focus of environmental sustainability and economic viability resonates with the objectives of our previous projects which aimed to boost the marketability of biobased products and harmonise global sustainability certification systems respectively by involving key actors from the agriculture sector and facilitating multistakeholder discussion through our kep fertitec fosters a communitydriven approach to boost sustainable innovation in the fertiliser sector we seek to make a tangible impact at national and regional levels by deploying our best availalbe fertilising techniques in several eu countries as well as extrapolationg our outcomes to the african union landscape by providing practical recommendations and guidelines overall with fertitec we aim the adoption of our alternative fertilising products and the wider transformation of the agricultural sector globally
exploring natural selection due to the black death and continuous human population genetic structure

the study of ancient human dna has been revolutionary in identifying largescale admixtures and genetic variants subject to natural selection yet key knowledge gaps persist first ongoing genetic mixing within spatially continuous populations is poorly understood second the underlying selective pressures particularly of infectious diseases remain debated to bridge both gaps i propose sequencing 500 victims of the black death one of the deadliest pandemics in human history from a site in central europe and using this data synergistically with novel computational tools to make two breakthroughsmy first objective is to pioneer linking a large number of ancient and modern genomes through shared long haplotypes known as ibd segments ibdsharing with modern genomes across europe will reveal for the first time how genetic ancestry spread across space starting from a large sample of a singular position and time new inference tools using ibdsharing will offer unprecedented insights into the european population structure of recent centuries including mobility and effective population densities and address a critical lack of population genetic models for spatially continuous populationsthe second objective is to pinpoint genetic variants relevant to black death mortality observing the removal of alleles for the first time in molecularly confirmed plague mass graves will directly link an infectious disease and the resulting natural selection the findings will decisively resolve longstanding debates regarding the human selective impact of the black deathboth ibdsharing with modern europeans and selection screens will greatly benefit from the large sample size of medieval genomes the synergy between the new analysis and tools i propose will break new ground for two key topics in population genetics relevant beyond humans inferring the structure of continuous populations and the impact of natural selection
from expectation to action

the freetoact project involves 16 experienced partners and is the legacy of 16 years of a collective participation to the ern as a consortium we will organize events in 16 different french cities sharing the same objectives and approach to science engagement and most of the activities and involving local researchers freetoact is based on two connected themes in 2022 the public will discuss the functioning of research through an attractive theme the unexpected which will bring surprises to the visitors while discussing predictability in research in the process in 2023 researchers and the public will debate together around the theme our futures these themes foster the quality of the discussion with researchers a key factor in enriching the publics vision of science in society and renew ern proposition for the public and the press during the events we will create warm and aesthetic encounters and design playful activities to be shared by researchers and the public the 2800 researchers involved in the project will be coached and trained by mediators all the local organizers have extensive experience in conducting researcherpublic meetings thus researchers at school activities will be organized thanks to our existing networks adults will also be able to participate through a new edition of the great participatory experiment in 2023 a research team will propose participatory research for the ern in 16 cities online activities will be proposed to interact with the public located outside our 16 cities the french ministry of culture will financially support the event for the 5th year fostering the participation of researchers in humanities and social sciences
panel recycling and integrated solar material

irena 2016 estimates that the cumulative pv panels waste volumes will reach 78m tons by 2050 8m tons by 2030 pv panels contain silver and silicon which if recycled represent a source of valuable and critical raw materials for the energy transition 80b by 2050 today many recycling facilities only recover bulk materials like aluminum frames and lowquality front glass the remaining material is often incinerated disposed or downcycled even though it contains silver and silicon which together account for twothirds of the monetary value of a silicon pv panels materialsto take advantage of this opportunity solar materials has developed a patented layerbylayer thermomechanical recycling process based on infrared heating to delaminate and recover all valuable raw materials contained in pv panels solar materials recycling process is the 1st in the world to recover all raw materials from solar modules in an economical and energyefficient way this enables us to achieve the highest profitability in the industry ebitda margin of 50 even with recycling fees at 50 lower of that of current pricessolar park owners enerparc and leading metal smelters and refineries in europe stemin umicore have already formally expressed their interest in our recycling services and material products moreover we have validated our sales prices with quotes and analysis for glass prezero reiling copper cables remondis aluminum stemin hydro silver umicore and silicon circular siliconwith this project we will setup and operate an industrialsized commercial pv module recycling plant in germany with capacity to process 8400 tons of pv panel waste per year by 2033 we expect to own and operate 33 recycling facilities globally with a cumulated annual capacity of 277m tons by then we would have recovered 710 tons of silver 46381 tons of silicon and 215237 tons of aluminum accounting for over 45m tons of avoided co2eq emissions
engineered porous electrodes to unlock ultralow cost feair redox flow batteries

this proposal will develop a gamechanging paradigm to design synthesize and functionalize porous electrode materials with farreaching consequences in electrochemical science and engineering focusing on the feair redox flow battery fairrfb which holds promise for lowcost long duration energy storage i will employ an interdisciplinary approach bridging electrochemical engineering materials science and computational design to address the following fundamental challenges 1 i will elucidate the role of the porous electrode microstructure i will introduce a new methodology that couples evolutionary algorithms with microstructureinformed simulations to predict ideal electrode geometries a versatile synthetic platform nonsolvent induced phase separation will be leveraged to synthesize highly controlled 3d microstructures and train neural networks to accelerate the discovery of optimal geometries 2 i will determine to what extent surface moieties of the porous electrode influence transport phenomena kinetics and durability i will employ electrografting of select molecules to functionalize porous electrodes and impart functional properties wettability activity stability i will perform nanoelectrochemical imaging to elucidate the role of electrodecoatingelectrolyte phenomena 3 i will develop a novel electrochemical reactor architecture for highpower feair rfbs building upon the two previous developments i will synthesize tailored iron and air electrodes and leverage polymeric bipolar membranes to realize a high voltage and low resistance electrochemical cell advanced imaging techniques ie energy and wavelengthselective neutron imaging will be employed to visualize reactive transport phenomena during operation thus helping to address these questions the novel approaches developed in fairrfb will enable breakthroughs in performance and durability of largescale electrochemical energy storage systems