Dragon09/odtu_chatbot huggingface dataset:
contextual specification of fibroblastdriven causalities in chronic intestinal inflammation and fibrosis

inflammatory bowel disease ibd is a severe chronic pathology presenting with progressive intestinal inflammation and fibrosis whose exact causes and key pathways remain poorly defined stromalimmune cell interactions have recently gained momentum in conceptualizing tissue homeostasis and our lab offered solid evidence establishing fibroblast heterogeneity and dominant roles in intestinal pathophysiology our recent preliminary evidence indicated diverse spatial distribution of subsets of activated fibroblasts and revealed synergistic interplays of important inflammatory pathways driving pathogenicity detailed insights into such contextual complexities remain obscure here we propose a novel unifying hypothesis that progressive ibd is orchestrated by specific subsets of fibroblasts becoming causal to pathogenesis depending on contextual information dictated by origin topology and crosstalks with immune or stromal cell typeswe propose to use singlecell spatiotemporal phenotyping to deconvolute fibroblast subsetspecific functions in diseasestaged fibrotic and nonfibrotic animal models of ibd we aim to 1 map dynamic chromatin and gene expression programs that define cellular heterogeneity and infer cell interactions to build an ibd connectome atlas 2 analyse the origin spatial distribution plasticity and lineage trajectories of intestinal fibroblasts and reveal potential functions of pathogenic subsets 3 perform discovery screens and functional validations on known tnf ifn tgfb and interleukins and novel fibroblastsubsetspecific pathways focusing on potential synergistic interplays 4 employ clinical material to validate involvement of the most prominent new pathways in humanthe proposed research should help tackle the complexities of chronic inflammatory and fibrotic disorders in the intestine and beyond advance mechanistic concepts in immune disease pathophysiology and promote fibroblasttargeting therapeutic discovery
accelerating european deeptech scaleups

the overarching goal of accend is to establish capabilities and processes that enable the project partners to conduct impactful and exemplary crossborder startup accelerator programmes in europe to initiate and establish a long term crossborder startup acceleration service ecosystem it brings together and enriches a diverse and complementing array of deep tech acceleration services support in access to finance advisory in the use of testbeds and living labs for business development matchmaking with key public procurers of innovation and global growth coaching advisory targeting global scaleup pathways with gotomarket activitiesaccend builds shared understanding and trust between the project partners by collaboratively designing joint distributed crossborder startup accelerator services that builds on strengths weaknesses opportunities and threats of each partner and their regional ecosystems it conducts a pilot programme named accend accelerator where these complementing services are delivered to a 100 scaleup companies aiming towards opening the regional services and funding borders as well as global markets for these startups to conduct this successfully it connects the startup services ecosystem in the partner regions more widely to leverage local and european initiatives and to anchor the crossregional collaboration the projects ultimate goal is to validate a sustainable model for continuous crossborder deep tech acceleration services deployment
safe sustainable and modular hybrid systems for longduration energy storage and grid services

the dramatic effects of the climate crisis are calling for a change in the electrical grid paradigm the market of energy storage systems is now undertaking continuous growth boosted by the relentless penetration of renewables in this context state of the art esss still have several limitations mainly due to technological constraints technologydependent reaction times and rigid coupling between energy and power capacity makes the choice of a specific ess for different use cases very cumbersome and seldom optimal from both the technical and economic point of view smhyles project proposes novel sustainable hybrid energy storage systems hesss based on the combination of two lowcrm storage technologies one with long duration capacity and one with very highpower density providing ultrafast ancillary services managed in a combined control by smart emss the projects comprehend the design construction deployment and demonstration of an aqueousbased hess ahess and a saltbased hess shess as well as a storage duration expansion three demo sites in portugal and germany cover islanded grid industrial microgrid provision of grid services and ev charging use cases novel solutions for electrolyte recycling are also scaled up to industrially relevant size the project will finalize technoeconomic analyses to evaluate market segments for hesss commercialization and deal with life cycle assessment along the whole design process digital twins are developed to support the optimal design of hesss components and systems define the strategies for hesss real time management investigate the business potential of smhyles solutions for specific use cases and countries and support and test the energy management systems of the developed hybrid storage technologies with high technological and economical advancements smhyles will unlock novel flexible and multipurpose energy storage solutions and ensure a remarkable impact on the european energy market
border control agencies for interlinked and interoperable future

eu customs administrations implement common rules at the eu customs union borders they protect society while facilitating legitimate trade alongside the collection of duties and taxes customs core activities now include security related roles including fighting illegal trade in drugs weapons radioactive and nuclear materials security sensitive dualuse items illicit waste and other environmental threats to deal with high volumes of goods moving across the unions borders and the need to restrict physical interventions to a minimum customs operate a riskbased multilevel detection architecture at border crossing points this must take into account the nature of the operational environment the threat materials to be detected and the types of concealments used by smugglers for more than two decades customs have used xray scanning as a first level control however current applications of this technology continue to result in a relatively high level of false positivesnegatives and inconclusive results giving rise to secondary controls including physical inspections this can be attributed in part to a failure to develop operator skills through accredited training and sharing of images of threat materials and concealments in a structured manner moreover second level technology controls such as raman spectroscopy are frequently applied with a narrow focus the eu customs control equipment instrument aims to harmonize customs controls at the eu borders and to upgrade customs equipment including xray scanners and field analysis devices borderlink aims to make a significant contribution to ccei aims as well as the planned reform of the customs union borderlink will enhance customs capabilities and performance at eu borders by advancing the detection and identification of threat materials improving training communication and data sharing it will help to strengthen supply chain controls and promote the green customs initiative
maskless surface morphing by holographic hyper lithography

photonics the science of harnessing light has the potential to revolutionize many sectors of the society the envisioned transition from electronics to photonic technologies requires advanced and miniaturized optical devices planar optical components realized as micro and nanoscale structured surfaces are at the forefront of this transition however their fabrication by traditional methods is still a barrier to their widespread use in applications a photolithographic process that fully exploits the multiple degrees of freedom of the light is part of the solution hypermash will introduce a radically new concept for surface photopatterning of advanced planar optical components the vectortimecolor hyper lithography i will define a multidimensional space of lithographic parameters where the intensity pattern the polarization distribution the time evolution and the wavelength of a holographic light field are simultaneously and synergically engineeredfor hypermashs approach i will leverage the peculiar vectorial and reversible photoresponse of azobenzenecontaining materials in combination with jones matrix holography and digital holographic microscopy the result will be the dynamical and reversible manipulation of the surface morphology on micro and nano spatial scale operating diffractive optical components and metasurfaces will be directly produced without any of the postexposure processes of the standard photolithography i will realize a paradigm shift by developing an unprecedented direct and highresolution patterning method with significantly reduced environmental impact and energy consumption results will have farreaching implications beyond the fabrication of planar optical components to be used either directly or as reusable masters for surface templating hypermash envisions a general lithographic method for functional surfaces and contributes to the understanding of the complex lightmatter interactions occuring in azomaterials
exploring photoinduced enzyme promiscuity in the glucosemethanolcholine oxidoreductase family to develop new photocatalysts

photoenzymes are rare biocatalysts that use the energy contained in photons to perform chemical reactions to date only one natural photocatalyst is known to have biotechnological applications the fatty acid photodecarboxylase fap allowing the production of hydrocarbons from fatty acids fap belongs to a superfamily of enzymes called glucose methanol oxidoreductases gmcox still the fap group is the only one known to perform photochemistry despite the high degree of structural similarity and presence of a photosensitive cofactor flavine adenine dinucleotide fad in all gmcox we reason that the gmcox family could have a latent photochemical function and we would like to exploit it therefore the objective of this project is to explore photoinduced enzyme promiscuity in the glucosemethanolcholine oxidoreductase family to develop new photocatalysts experimental to this end we will first test the photoinduced substrate promiscuity with different gmcox using an accelerated serendipity approach in a second step we will optimize the newly discovered photoenzymatic activity by directed evolution finally the enzymatic mechanism will be characterized using different biophysics approaches ranging from timeresolved spectroscopy to serial femtosecond crystallography this project is inherently interdisciplinary combining chemistry biochemistry and biophysics to develop new photocatalysts for biotechnological purposes for fundamental research these new photoenzymes will be an opportunity allowing the study of ultrafast processes that occur during catalysis and can only be observed with lightdependent enzymes such as electron andor proton transfer bond breaking ect in fine the goals of experimental are to provide a better appreciation of the capabilities of enzymes and meet the demand for new and sustainable methods in organic synthesis by providing with the gmcox family a toolbox for the design of new lightdriven reactions
dispersion force maskedbased helium atom lithography

as margrethe vestager european commission executive vicepresident said there is no digital without chips leadingedge semiconductors provide the foundation of the digitalization of entire sectors and industries that are transforming the eu economy and of emerging technologies such as artificial intelligence and quantum computing photolithography is currently used for the initial patterning step of chip manufacturing and leadingedge chips require smaller and smaller features the smallest features that can be produced with this technology 26 nm at present and expected to reach 16 nm in 2028 not only limits the performance and power efficiency of leadingedge chips but also the opening of new markets linked to quantum devices and silicon devices with integrated light sources faboulace project catches this opportunity through a disruptive lithography approach that uses metastable atoms and dispersion forcebased masks and enables features of 2 nm the technology currently at proof of concept stage and protected by two patents will be brought at trl 6 by the end of the project by developing a prototype its performances will be validated together with imec key actor in the development testing and early adoption of nano and digital technology innovations including lithography and endusers in the markets of interest the spinoff lace founded in 2022 will bring the technology to the market by 2031 the technology has already attracted a great interest among investors 450k raised in few months and among the major foundry intel that accepted lace in its highly competitive startup program intelignite market and business readiness will be developed together with endusers and leveraging on the economic support from investors 3m private funding expected to be attracted by 2026 the technological and business maturation is expected to result in as much as 628m in revenue in the 20312036 period let the quantum future begin
welfare redistribution and financial stability in housing and mortgage markets

worldwide housing wealth represents the most important asset in households balance sheet and mortgage debt is the most important liability in the past two decades several countries have experienced house price bubbles excessive households leverage and increasing risktaking behavior of banks to limit these phenomena and in response to the 2008 financial crisis new regulations have been introduced in housing and mortgage markets the lack of disaggregate and extensive micro level data on housing and mortgages has so far prevented researchers from carefully investigating these events and the effectiveness of regulation this project will bridge this gap i will assemble a unique and extensive platform of datasets on housing and mortgage markets combining disaggregate information on housing transactions buyers and sellers and loan level data on mortgages for two european countries the netherlands and norway these data will be used to develop and estimate novel structural econometric models of demand and supply in housing and mortgage markets these models will serve to investigate three main questions of concern to policymakers and to evaluate the welfare effects of existing and alternative regulations via counterfactual simulations first i will investigate a novel demand channel of housing and mortgages driven by the rise of accommodation sharing platforms such as airbnb while these platforms provide extra income to households renting their property they also fuel housing bubbles and affect mortgage markets second i will evaluate the role of mortgage securitization in reducing lenders funding costs quantify its effect on lenders risk taking behavior and propose regulations to balance this trade off last i will document the distributional effects of leverage regulations that have helped to reduce credit risk but have also disproportionally penalized low income households and first time buyers worsening income and wealth inequality
quantum reservoir computing for efficient signal processing

the longterm vision of the qrc4esp project is to produce the worlds first quantum reservoir computing qrc systems based on superconducting qubits and silicon carbide sic defect qubits this new disruptive technology will create drastic improvements in speed and reduction in power consumption two or more orders of magnitude 100x compared to classical machine learning systems ultimately the technology will enable groundbreaking microwave range open air quantum communication and new optical range fibre network quantum sensors due to their structure superconducting qubits naturally operate in the microwave range hundreds of mhz to tens of ghz which means they are wellmatched to the required frequency range for satellite communications because signals in this frequency band are minimally disturbed by fog and clouds currently operating openair quantum communications in this range is difficult due to strong background thermal noise however the development of superconducting quantum sensors and their integration with superconducting qrc could resolve this issue by enabling the routine use of welldeveloped quantum key distribution protocols thereby quantum satellite communication could be successfully deployed once and for all without the risk of interception and decryptiondefectbased qubits in sic can operate in several frequency bands including the optical band here we are especially interested in their operation in the nearinfrared which would make them a natural match for fibreoptical networks longrange openair quantum communication in the optical range is impractical due to atmospheric interference however the inclusion of prospective qrc devices with quantum inputs and outputs as quantum repeaters could significantly increase performance and reduce costs another application would be to integrate an opticalrange quantum sensor with an imageprocessing qrc which would be very useful for medical diagnostics
discovering a new family of hypermodified antimicrobial peptides from marine tunicates and exploring their potential applications

the spread of antimicrobial resistance among human pathogenic bacteria and fungi is a major global and european concern urgently necessitating the development of novel antibiotics another unsolved global healthcare problem is the burden of infections acquired through invasive medical devices antimicrobial peptides amps could be the solution to both problems but they are currently limited by high cost insufficient efficacy and stability as well as restricted chemical options for biotechnological production however in a group of marine animals tunicates there is a major poorly characterized superfamily of amps with many advantageous natural chemical modifications these unusual posttranslational modifications tryptophan bromination argininelysine mono and dihydroxylation tyrosine hydroxylation cterminal amidationoxidation are predicted to improve potency and stability of the mature amps and might enable their efficient immobilization onto various surfaces the latter property could also prove useful for surface coatings in the current project we aim to explore these promising bioproducts from predictions by bioinformatics through isolation of animal tissues extraction and enrichment of the actual peptides to their chemical analysis by mass spectrometry and testing of antimicrobial potency and safety project tunipeps gives a major opportunity to both the applicant and host to combine their complementary knowledge and skills in order to identify useful natural products from marine animals acting as blueprints for future antimicrobials these diverse molecules and their biosynthetic apparatus might also unlock cheap biotechnological production of novel molecules in the near future
changing the tempo of neuronal development to modulate neural circuit function and plasticity

the timing of neuronal development is highly variable depending on the cell type or species in particular human cortical neurons display a considerably protracted tempo of development at the basis of human brain neoteny the mechanisms underlying neuronal neoteny start to be unravelled but their significance for brain function and plasticity remain poorly known despite their implications for brain diseases and repair this project will combine innovative technologies developed by the applicant and the host lab including brain transplantation molecular manipulation of developmental tempo and neural connectivity taking advantage of recent findings of the host lab that link metabolism to neuronal maturation speed we will manipulate mitochondrial function to accelerate the maturation of human neurons in a xenotransplanted mouse model and conversely to decelerate murine neurons within the mouse visual cortex we will thus examine how increasing or decreasing neuronal maturation rates influence functional development synaptic functions and experiencedependent plasticity across time and species using advanced techniques including electrophysiology in vivo calcium imaging and monocular deprivation neural plasticity paradigms we will explore the impact of neuronal developmental tempo on cortical circuit function and plasticity finally and most excitingly we will use the same paradigms to investigate whether transplanted juvenile neurons can induce plasticity in the neuronal networks of the adult host brain additionally chemogenetic and transsynaptic tracing approaches will dissect potential mechanisms underlying the observed effects using merfish spatial transcriptomics we aim to unveil molecular programs driving plasticity induction this project holds significant potential to reshape our understanding brain development and plasticity and its implications for neurodevelopmental diseases and therapeutic interventions in the ageing brain
geothermal exploration and optimization through forward modeling and resource development

goforward aims to develop a novel methodological approach to make more accurate predrilling predictions of geothermal reservoir properties and thus reduce the mining risk key to the goforward approach is to simulate geological processes for predrill assessment of reservoir structure and properties calibrated to geological or geophysical data rather than extrapolating the properties from those data with geostatistical methods to this end goforward focuses on extending and further developing testing and demonstrating the added value of forward modelling methods originally developed for hydrocarbon exploration including stratigraphic forward modelling sfm diagenesis forward modelling dfm and fracture network forward modelling ffm to be used for exploration in different geothermal settings of high relevance for europe first the developed approaches will be tested and calibrated in areas with abundant subsurface information and production data to prove conceptually the applicability of the methods and reproducibility of the results to optimise and derisk geothermal exploration calibrated model approaches are subsequently applied in areas with limited data availability to demonstrate their capability to increase predrill probability of success pos to support the workflow and further reduce exploration costs goforward advances mlbased and computational methods to enhance existing subsurface information for calibration uncertainty quantification and data assimilation and upscaling routines for flow simulation dnsh and technoeconomic performance assessment for pos and value of information voi in addition goforward addresses public awareness of geothermal developments already at the early stages of exploration by including novel approaches to citizen engagement and stakeholder dialogue we aim to increase the societal readiness level of geothermal exploration as the first step of geothermal developments