Dragon09/odtu_chatbot huggingface dataset:
european research infrastructure on semiconductor chips

infrachip is to implement the first integrated distributed research infrastructure as a wider european research platform for the sustainable development of nextgeneration and future semiconductor chips infrachip will mobilise a critical mass of people expert knowledge and technology blocks and capital investment on stateoftheart equipment to address the eus twin digital and green transition and ensure europes capacity to innovate at the early to medium readiness levels building on existing ri communities namely ascent on nanoelectronics emerge on sustainable flexible electronics and enables on powering the internet of things iot the infrachip initiative will advance the stateoftheart by supporting comprehensive user projects for multiandtransdisciplinary pathfinding research on sustainable information and communications technologies ictdriven by the secure edge these challengedriven projects will target the introduction of new materials proofofconcept and feasibility studies of new manufacturing processes or disruptive technologies to accelerate the translation of results from the lab to the fab infrachip will channel project activities to testing and experimentation facilities european digital innovation hubs and pilot lines infrachip will also develop talent and train a skilled workforce through its research accelerator programme and additional handson courses and education resources to support early career innovators and the highvalue semiconductor industry as a whole infrachip will significantly contribute to research and innovation capacity within the objectives of the european chips act
quantum universal photonics integrated circuit platform

quantum technology holds the promise of enabling next generation computing communications and sensing systems however the size cost and scalability of current devices prevents them from reaching their full potential photonics is one of the key enabling technologies for quantum technology in particular photonics integrated circuits pics with their waferlevel manufacturing based on microfabrication technologies can provide the reduction in size and cost and enable next generation scalable quantum technologies to fully achieve this goal an universal pic technology that can serve most quantum applications is neededin qupic we selected the al2o3 integrated photonics platform as backbone technology for the development of quantum pics thanks to its excellent low propagation loss performance and wide operating spectral region from the ultraviolet 200 nm until the midinfrared a large range of pic building blocks is developed in qupic focusing on areas where materials or integration technologies are not yet available several light sources including multiwavelength tunable lasers with operation at 399 nm 411 nm and 935 nm on the pic uvc external cavity lasers emitting at 280 nm sources of squeezed photons single photon detectors programmable asics and the required packaging and assembly technologies will be investigated an open pdk will group all the developed quantum building blocks to accelerate innovation from the initial idea to an actually manufactured system two application demonstrators will be implemented using the developed building blocks namely a source of gkp states for quantum processing and an atomic clock based on yb ions for quantum sensing it is the ambition of qupic to secure a full european supply chain to establish europes sovereignty and manufacturing capabilities in photonics integrated circuits for quantum
microbiome abundance profiling precision microbiome profiling for insights into human health research

the thousands of microbial species that compose the human gut microbiome are linked to diseases from cancer to diabetes sparking tremendous interest among pharmaceutical medical researchers in microbiome analytics current analytics methods are far too slow expensive and inaccurate to fulfil this need much faster techniques are essential for microbiome tracking over the course of disease states and therapies to discover correlations with disease and enable personalized medicine perseus map is the only microbiome analytics platform that will be able to handle this onslaught of demand through a revolutionarily fast highthroughput and accurate technology based on dna imaging techniques invented in the lab of our cofounders we will massively accelerate microbiomics starting with a central service lab deploying satellite labs and finally producing portable units for the microbiomics mass market at a capacity of 300k profilesyr analyzed inhouse to seize a 25b market
discovering novel control strategies for turbulent wings through deep reinforcement learning

over the past decades aviation has become an essential component of todays globalized world before the current pandemic of coronavirus disease 2019 covid19 over 100000 flights took off everyday worldwide and a number of studies indicate that after the pandemic its relevance in the transportation mix will be similar to that before covid19 aviation alone is responsible for 12 of the carbon dioxide emissions from the whole transportation sector and for 3 of the total co2 emissions in the world due to the major environmental and economical impacts associated to aviation there is a pressing need for improving the aerodynamic performance of airplane wings to reduce fuel consumption and emissions this implies reducing the force parallel to the incoming flow ie the drag and one of the strategies to achieve such a reduction is to perform flow control deepcontrol aims at using highfidelity simulations and deep reinforcement learning to develop a framework for realtime prediction and control of the flow around wing sections and threedimensional wings based only on sparse measurements we will first perform highorder spectralelement simulations of wing sections and threedimensional wings at high reynolds numbers using sparse measurements at the wall we will reconstruct the velocity fluctuations above the wall within a region of interest to this end we will employ a generative adversarial network gan together with a fullyconvolutional network fcn and modal decomposition then we will perform flow control based on deep reinforcement learning drl which will enable discovering novel solutions in terms of flow actuation and design of winglet geometry in order to assess the robustness of the framework for realtime applications we will carry out detailed windtunnel experiments at kththis framework will constitute a breakthrough in aviation sustainability and will enable developing more efficient aeronautical solutions worldwide
elter enrich bridging phases towards the integrated european longterm ecosystem critical zone and socioecological research infrastructure

elter enrich aims at catalysing the elter esfri process towards a successful conclusion balancing between 1 the changed framework conditions since 2020 and 2 the vision and role in the european system of research infrastructures ris identified by esfri this role is to enable frontier research for a sound understanding of ecosystem change or adaptation in response to multiple global change pressurespulses thus providing an essential tool for achieving the sustainable development goals and the green deal and for the transition to a sustainable and resilient europegiven the current force majeure factors the ri cannot be implemented in the linear process originally planned but in a phased approach that requires agile planning tools to support scenario assessment and prioritisation in close interaction with our stakeholders to this end enrich is implementing a modelbased systems engineering approach to better capture the complexity of the distributed ri and to support dynamic decision making towards a research infrastructure capacity that is well coordinated across 20 formally involved countries the elter system architecture sa allows us to design a baseline skeleton ri with well selected initial key services as a starting point for incremental extensions during the operational phase cyberinfrastructure components of highest relevance for the elter service portfolio will be driven from the sa and implemented in close collaboration with related projects and ris formalisation efforts will be intensified to achieve sustainable commitment from service hosts and future eric members despite the current global uncertainties this will ensure a seamless transition from elter projects to elter eric operations build capacity in terms of expertise and human resources and strengthen user involvement in the ri enrich will also ensure support for decisionmaking in the elter interim council beyond the duration of the elter preparatory phase project
hyperoxic mri of perivascular spaces

hermes aims to develop more effective strategies that increase our understanding of the brain in health and diseasethe ability of magnetic resonance imaging mri to study brain fluids noninvasively offers a unique opportunity for revealing how cerebrospinal fluid promotes waste clearance from the brain perivascular spaces are key structures involved in this process they are gaps surrounding small blood vessels along which cerebrospinal fluid can move a comprehensive understanding of the anatomy and function of perivascular spaces is lacking but it could ultimately uncover important mechanisms of brain disease and lead to novel treatments harnessing cerebrospinal fluid movement for drug delivery to the brainbuilding on my expertise in structural mri and my proposed supervisors expertise in functional mri coupled with supplemental gas inhalation i will use mri to track oxygen movements in brain fluids thus developing inhaled oxygen as an image contrast agent for perivascular spaces i will characterise the anatomy and function of perivascular spaces in a healthy population from 20 to 60 years old then leveraging my proposed clinical cosupervisors expertise in neuroinflammation i will investigate the role of impaired perivascular space function in multiple sclerosis the leading cause of neurological disability among young and middleaged adults affecting more than 700000 people in europeduring this fellowship i will deepen my scientific expertise by learning how to conduct mri experiments with multiple image contrasts and supplemental oxygen the training provided by my supervisors the scientific and transferable skills provided by the fellowship and the excellence of the host institution will all be essential to deliver the goals of this project ultimately hermes will help me to establish my own research group and create a longterm impact by sharing my expertise with academic and industrial partners
preventing rejection and ensuring survival of grafts

the success of organ transplantation depends on the lifelong use of immunosuppressive drugs to prevent rejection of the donor cells by the recipients immune system these immunosuppressive drugs have several limitations most notably major side effects namely opportunistic infections and cancers we have recently shown that the bacterial pathogen listeria monocytogenes lm induces the resistance of infected cells to tcell mediated killing this project aims to protect grafted cells from t cellmediated killing and thereby mitigate organ rejection this will lay the groundwork for patent filing and the establishment of a robust business model to ensure further development and clinical translation this innovative approach is expected to reduce the need for immunosuppressive therapy in transplant recipients thereby improving outcomes and quality of life for the 130000 patients who receive transplants worldwide each year this proofofconcept project is based on our recently published study maudet et al nature 2022 supported by the erc invadis grant
unlocking the potential of second life steel fibers from tire waste for the construction industry

after 4 years of rd we are the very first company to have developed a production process to produce a second life steel fiber that can be used in a commercial way being very clean classified by length with high resistance to traction our highquality steel wires called flexofibers have a small diameter 025 mm lending them high tensility and flexibility while also enabling many filaments to be used per m3 of reinforced concrete our propriety process gives us the ability to control the length of the fibers to avoid a balling effect in the mixed concrete while increasing the flexotraction and permeability of the material the first circular economy approach to produce steel fibers of second life materials opens the doors to produce highimpact resistant concrete with a very low environmental footprint and will propel the uptake of sustainable build materials into the construction value chain while also granting the tire industry its entry into the circular economy
firstinclass betacatenin inhibitor as treatment for colorectal cancer

with more than 19 million new cases and 935000 related deaths in 2020 colorectal cancer crc is the third most common cancer in men and the second in women while surgery is the main treatment option for lower grade crc patients with unresectable lesions are treated with chemotherapy related therapies are associated with severe drawbacks such as systemic toxicity low response rate and unpredictable resistance molecular targeted therapies have emerged as a promising strategy to specifically target cancer cells for crc the inhibition of the wnt signalling pathway has moved into the focus of novel therapeutic approaches as it is hyperactivated in 80 of all cases within the pathway the protein betacatenin is considered a particularly attractive target however classic small molecule targeting strategies have failed to provide any approved drugs that inhibit betacatenin so farwe have identified a family of peptidomimetic agents that bind betacatenin and inhibit its interaction with the tcflef transcription factors for the first time it was possible to obtain a crystal structure of a synthetic molecule bound to a therapeutically very attractive site on betacatenin in addition we have confirmed cellular activity of these inhibitors verifying selective inhibition of the wnt signalling pathway these findings provide the ideal starting point for the development of novel therapeutics for wntdependent cancers in particular for crc these firstinclass inhibitors will provide the basis for the development of therapeutics that selectively inhibit oncogenic wnt signalling thereby affecting the viability of corresponding cancer cells this can enable targeted therapies for wntdependent forms of crc
advanced xray energysensitive microscopy for virtual histology

in the last 20 years phasecontrast xray imaging has evolved from first proofofprinciple experiments with relatively poor contrast to a mature research field with many branches standing on the shoulders of scientific achievements and technological development the time has come where virtual histology for biomedical applications is within reach the aim of this research project is to design and construct a prototype xray microscope for threedimensional histologyin the clinics we are used to noninvasive threedimensional image modalities such as eg computed tomography ct ultrasound and magnetic resonance imaging mri the ability to visualise and track structures through a volume is extremely valuable for the purpose of diagnosisbut for microscopy of tissue biopsies our golden standard is histological procedures involving thin slicing of the tissue before imaging in a microscope rendering volumetric interpretation very difficult of not impossible with the proposed phasecontrast microct scanner tissue samples can be imaged in three dimensions such that the computer rendering of the sample can be sliced in any arbitrary plane and we have the possibility of volumetric data analysis in this fashion useful volumetric information can be extracted for various applications in biomedical research as a direct application we will use this 3d histology setup to obtain detailed volumetric understanding of the development of lung lesions and complement with gold standard microscopy techniques a labbased setup for virtual histology will allow full studies of disease pathologies with statistical significance and make optimisation of experimental protocols possible for achieve the goal of soft tissue microct we will implement a novel inversegeometry singlegrating interferometer when combined with stateoftheart detector and source technology a scanner for highresolution phasecontrast tomography of soft tissue will be realised
stratification of rheumatoid arthritis computational models to personalise management strategies for difficulttotreat disease

difficulttotreat rheumatoid arthritis d2t ra is an area of huge unmet medical need with major socioeconomic consequences for patients and society contributing factors have been identified including comorbidities drugrelated biological and behavioral factors however identifying these patients with specific underlying and overlapping problems or patients at risk is a big challenge in practicecurrently treatment decisions are random and not sufficiently patient tailored nor datadriven therefore the stratafit consortium sets out to develop and validate computational models to identify and stratify d2t ra patients into clinically relevant phenotypes using real world clinical data we will also measure biomarkers of inflammation to further characterise these phenotypessubsequently we will execute a pilot study with a clinical decision aid based on our models to assess the effectiveness of personalised treatment strategies in parallel we will develop a computational model to identify early ra patients at risk of developing d2t ra by doing so not only will we provide better treatment for patients with d2t ra but also work towards its prevention in early ra patients stratafit will establish a unique european learning healthcare system using a privacyproof stateoftheart federated learning infrastructure in which patients with or at risk of d2t ra are identified stratified and treated in a personalised mannerstratafit builds on previous work by consortium partners who initiated and lead the european task force on developing points to consider for managing d2t ra it brings together clinical experts patient research partners and clinical biological data and computerscientists to tackle this major clinical challenge when successful stratafit will lead to more cost effective d2t ra care and will greatly improve the quality of life of d2t ra patients while lowering the burden of d2t ra on europes health care systems and society
supporting the transition towards circular economy in european cities and regions development of a replicable model for local circular economy projects

with 75 of the eus citizens living in urban areas the potential of circular economy for european cities is clear however one of the main issues hindering a widespread deployment is that compared to industrialized economies circular economy business cases are often perceived as risky by investors often because the business models are poorly described or understood investcec will develop a replicable model for the implementation of circular economy projects in cities and regions across europe while taking into account all relevant stakeholders specifically the model will address the city and regions needs support entrepreneurs in making their circular economy solution investment ready and include the investment program set up and management the model viability will be then demonstrated in the city of klagenfurt austria as a test case investcec will also develop a platform for the stakeholders involved in a circular economy project to communicate exchange information as well as monitor the project and its progress a tailored replication plan including replication materials and replication activities will be established in order to encourage the replication of the model in other local and regional settings across europe alongside the models development and demonstration the project will carry out prospective activities and implement measures to support the transition towards circular economy including policyrelated work information exchange events marketplace of circular economy solutions and additional resources tools and guidelines for the use of all stakeholders
evolutionary mechanisms of gene regulation in dynamic environments

living systems are the product of evolution in a dynamically changing world they endlessly adapt to new challenges imposed by their environment yet our understanding of evolutionary mechanisms involved in adaptation to dynamic environments is very sparse even though gene regulation is wellknown to endow cells with the ability to adjust their phenotype according to environmental fluctuations we know little about genetic changes that fuel regulatory evolution or about the benefits and costs of regulatory changes this lack of knowledge impacts several fields in biology from the biomedical challenge of cancer plasticity where evolved gene regulations allow cancer cells to escape treatment to the challenge of synthetic biology where gene circuits must be controlled despite environmental fluctuations this project builds on genomic advances to determine how the evolution of gene regulation depends on 1 mutational effects what can happen and 2 the selective advantage of regulatory changes in dynamic environments who can survive these fundamental questions will be addressed at the transcriptomic scale by combining innovative experimental and computational approaches in a powerful model organism the yeast saccharomyces cerevisiaeusing a novel highthroughput method by which the transcriptomes of thousands of genotypes can be profiled in different environments we will determine how random mutations potentiate or constrain regulatory evolution and we will identify genetic variants altering gene regulation by competing random mutants and performing functional assays under diverse regimes of selection we will determine when and for which genes the evolution of expression regulation is beneficialthis work will advance our understanding of the genetic mechanisms underlying regulatory differences and of their adaptive value in dynamic environments providing an empirical foundation for the development of predictive models of regulatory evolution