Dragon09/odtu_chatbot huggingface dataset:
spin resonance and timeresolved spectroscopy of opticallyadressable diradical qubits

the rapidly burgeoning field of quantum information science has boosted the efforts to develop materials capable of exploiting the counterintuitive quantum behaviour of matter now at the second quantum revolution the main stumbling block on the route to quantum computers is the lack of quantum materials with ideal properties among the wide variety of systems capable to implement qubits in their electron or nuclear spin carbonbased molecular qubits mqbs bring about advantages such as long coherence times high reproducibility and scalability however crucial deficiencies still need to be solved the lack of singlequbit readout capabilities and the lack of structurequbit performance relations to exploit the conscious synthesis of mqbs in this regard the recent availability of a broad range of stable designs of organic molecules bearing two unpaired electron spins in their ground electronic state ie diradicals lead an uncharted market for quantum materials the main selling point of using diradicals as mqbs resides in the possibility of controlling the interaction between the unpaired spins via chemical synthesis in spectrobits i will investigate new organic diradicals as mqbs to fill the gap in quantum materials for this i will establish a direct relation between the spinspin interaction in diradicals and their performance as mqbs by developing their initialization readout and manipulation processes to this end i will combine my expertise in time resolved spectroscopy of diradicals with the expertise of the host in electron spin resonance and optically detected magnetic resonance and with advanced quantum chemistry calculations spectrobits goes beyond the state of the art by investigating the optical addressability of diradical mqbs spanning the whole range of possible spinspin interactions and by developing singlemolecule readout procedures the final goal is to use these findings to synthetise tailored diradical mqb architectures
elucidating the spatial and temporal dynamics of acute myeloid leukemia progression using functional omics and highthroughput in vivo screening

advances in sequencingbased phylogenetic studies applied to cancer evolution have led to the observation that the linear accumulation of oncogenic alterations over individuals lifespan does not match the late life pattern of cancer incidence it has thus become clear that beyond the sequential accumulation of oncogenic driver mutations additional factors also support cancer outgrowth the temporal and spatial dynamics of tumor evolution represent two of the most critical mutationindependent variables to consider hence we hypothesized that the dual features of aging and spatial dissemination promote critical fitness gains that are at least as significant as driver mutations in cancer the goal of this proposal is to investigate the spatial and temporal determinants of tumor progression and to dissect the contributions of these processes to cancer pathogenicitydue to its quite unique occurrence pattern and propagation characteristics acute myeloid leukemia aml is the prototypical disease model that we have elected to template such spatiotemporaldependent features of disease development to study these features we engineered two mouse models of leukemia dissemination and aging using seriallytransplantable mllaf9driven leukemic blasts using these two models we propose to i combine metabolomic and epigenomicbased profiling to portray the spatiotemporal dynamics of leukemia growth ii deploy singlecell transcriptomics coupled with lineage tracing experiments to reveal the predeterministic attributes of such dynamics and iii leverage innovative multimodal in vivo shrna and crispra screening approaches to pinpoint and functionally characterize the critical age and disseminationrelated effector genes involved in leukemic progression the comprehensive analysis of their unknown function will potentially define new therapeutic routes in aml and given the holistic nature of the spatiotemporal characteristics studied in other cancers as well
a software tool for the bayesian estimation of heterogeneous agent macroeconomic policy models

my erccog project has advanced the methodological frontier in solving and estimating macroeconomic equilibrium models enabling analysis of the interplay between business cycles and inequality to transform this innovation into a benefit for society policymakers must be able to work with models with ease this will allow them to comprehend how the policies they propose impact both the macroeconomy and incomewealth distribution for this purpose policymakers require a software tool that allows for swift development and analysis of models the erccogfunded research has produced a pilot software that can theoretically achieve this alongside fundamental methodological research however it lacks the versatility and userfriendliness required by policymakers who must develop answers to policy questions under time pressure the aims of the baseforhank project include the further development of the pilot software into a more userfriendly and versatile tool if successful this development will enable policymakers worldwide to understand the impacts of their policies better resulting in more socially cohesive and stable growth the development follows the model of the dynare software package which made it possible to use macroeconomic equilibrium models with representative agents that are now pervasive in policy institutions
real time liver disease early diagnosis through exhaled volatile organic compounds sensing

the analysis of volatile organic compounds vocs in exhaled breath with nano sensors has great potential to transform healthcare with accurate inexpensive realtime diagnostics however attempts to implement this strategy have failed to reach clinical deployment firstly many efforts try to identify the complex mixture of vocs associated with disease which is a long and expensive process secondly commercially available sensors require high operating temperatures and have low sensitivity to breath vocs nanose medical has overcome these limitations through dianose an easy to use handheld diagnostics device with potential applicability in 20 different diseases instead of identifying individual vocs dianose deploys an array of patented crossreactive sensors delivering a chemical signature of breath that can be classified as healthy or diseased through artificial intelligence our initial alpha prototype focuses on a key clinical indication nonalcoholic fatty liver disease nafld with a global prevalence of 30 it is the leading cause of liver related morbidity generating an annual burden in europe of 35 billion and a further 200 billion of societal costs crucially nafld diagnostics present key limitations liver biopsies are expensive invasive and subject to sampling error and noninvasive alternatives lack precision are operatordependent and require expert interpretation dianose will fill this gap aiming to achieve a diagnostic accuracy of 90 at 50test lab testing of our alpha prototype has shown high accuracy 88 with nafld models with the reliv project we will develop an advanced beta prototype that will be validated in clinical settings across different locations this will bring dianose one step closer to commercialization providing a truly costeffective pointofcare detection and monitoring device capable of improving patient outcomes and alleviating the economic burden generated by the growing nafld pandemic
demonstrating innovative pathways addressing water and soil pollution in the mediterranean agrohydrosystem

path4med is a multiparticipatory and multidisciplinary project that will pave clear pathways towards zero water and soil pollution in the agrohydrosystem of the mediterranean sea basin and other european seas through an innovative triple bottom line approach achieving economic social and environmental sustainability to ensure human wellbeing and ecosystems functioning path4med will advance and consolidate agricultural management technologies and solutions within an inclusive and open participatory environment it will evolve and mainstream novel monitoring technologies and integrated solutions it will assess the technical feasibility and socioeconomic viability of cascades of solutions through an integrated modelling framework it will quantify the effectiveness and the net impact of these solutions and ultimately it will empower citizens to take action against pollution of soils waters and the ocean through clear measurable evidences increased awareness and water literacy path4med pathways will be applied and demonstrated in large scale integrated demonstration sites established in representative mediterranean areas in areas representing other european seas and in associated regions a digital platform and other relevant digital tools will be established to facilitate path4med actions information and knowhow communication and to support data exchange and data feeding to international observatories and knowledge systems
early phases of planetary birth sites environmental context and interstellar inheritance

the aim of this ambitious research project is to produce the most realistic computer simulations of the assembly of gaseous protoplanetary accretion discs and to understand which of their traits are inherited from andor affected by their direct interstellar context owing to groundbreaking instruments such as vltsphere or the alma telescope array we now have a first extensive census of disk populations moving beyond the core characterisation of relatively isolated disks in the calm class ii stage the time has come to shift the focus towards the wider context of these systems that is the actively starforming stellar associations such as the archetypal taurus orion or lupus regions stellar ages of disks with substructure of likely planetary origin point to the fact that planet formation is not merely an ubiquitous process but figuratively speaking happens within the blink of an eye this mandates to abandon the assumption of the disk as a quiescent entity detached from its surroundings and instead place it in the context of a collapsing cloud core key aspects here are i the external uv radiation field that can drive powerful photochemical reactions on the surface ii perturbations from stellar flybys iii gas selfgravity and iv magnetic field lines that are selfconsistently anchored in the local interstellar medium ism the latter aspect requiring adaptivemesh technology provided by the nirvana iii code codeveloped by the applicant at the same time the early appearance of planets poses questions about the solid constituents potentially being inherited from the ism and primed during the protostellar precursor phase finally with the pivotal exchange of angular momentum during the collapse regulated by nonideal mhd effects the evolution of microphysical coefficients ie through an ionisation chemistry with recombination on small grains needs to be followed through the collapse phase accounting for dust growth by coagulation
sustainable aluminium reinforced seawater concrete

freshwater is a very precious natural resource and it is widely reported that the world reserve of freshwater is fast depleting this problem is becoming more complex due to development in infrastructure which is demanding more quantity of concrete and pressurizing freshwater resources focusing on this issue this project utilizes seawater for concreting mixing curing to conserve freshwater resources but the corrosion of steel reinforcement is inevitable with the use of seawater due to chloride in the seawater in concrete therefore noncorrosive aluminium reinforcement will be used in this project to minimize the risk of corrosion an invisible layer of al2o3 on the surface of aluminium protects it from corrosion although it is considered that the high alkalinity of concrete degrades this outer layer and corrode the aluminium in this regard the use of supplementary cementitious materials scms as a partial replacement of cement is found beneficial due to the pozzolanic activity scms consume caoh2 formed by cement hydration and keep the ph so low that the concrete can be reinforced with aluminium bars even with seawater in this project calcined clay natural pozzolanic material will be used as an scm in concrete hence this project focuses on the possibilities of using seawater in aluminium reinforced concrete and reducing the burden of utilising freshwater in addition the use of calcined clay will reduce the cement content which leads to minimise the co2 emission in environment and ultimately this project will produce a more sustainable concrete for the future moreover the present research capability of researcher limited to basic assessment of nonreinforced concrete will be boosted by the assessment of aluminium reinforced concrete for corrosion carbonation and shrinkage in conjunction with microscale analysis the project results will contribute to europes positioning at the forefront of sustainability
democratizing ai for cognitive process automation

deepopinion is a b2b saas platform for endtoend automation of unstructured text and documentheavy processes that has been developed as a nocode platform empowering endusers and automation experts to build humanlevel ai skills that can be integrated into making existing bots intelligent bots or used to create endtoend intelligent workflows from scratchdeepopinion is based on a proprietary ml engine created over 4 years of rd for automated deep learning for natural language understanding autonlucom and intelligent document processing automatically training the best ai models for data sets in 100 languagesdeepopinion consists of 2 core components 1 cognitive skill builder ai builder 2 flow builderthe skill builder is a nocode interface used to create various custom cognitive skills ai skills nlu idp tasks to infuse into existing bots or to create smart bots built on autonlu the flow builder allows customers to create new automation workflows
improving reproducibility in science

structured understanding of the drivers of irreproducibility and presenting concrete solutions of tools and interventions will help to increase the quality reliability and reusability of scientific evidence to this end irise proposes to provide theoretical and empirical evidence of the effectiveness of specific interventions and a framework for a robust evidencebased road map for the development assessment and implementation of interventions intended to improve reproducibility irise brings together qualitative and quantitative expertise from academia and smes including metascience statistics economics artificial intelligence research ethics and integrity quality assurance and project management irise proposes the development of a general framework for diagnosing and addressing reproducibility problems using analytical and computational modelling simulations and metastudies data on existing interventions will be systematically curated and evaluated and stakeholders will be consulted to collaboratively identify practices and tools that should be prioritised for implementation irise proposes to conduct empirical studies of both technical and practicebased solutions to increase reproducibility across all irise activities the influences of research culture will be investigated with a focus on mainstreaming systematic integration of equity diversity and inclusion practices a comprehensive stakeholder forum will be engaged to provide advice and irise will commit to open and reproducible practices the different types of evidence generated will be integrated into an open knowledge base to support the community in decisionmaking to identify test and implement effective and feasible solutions for reproducibility the members of irise have made pivotal scientific and policy contributions relating to robustness rigour and reproducibility in the past and have the skills and tools to succeed in this ambitious project that has potential scientific economic and societal gains both in europe and beyond
mainstreaming smallscale biobased solutions across rural europe via regional multiactor innovation platforms and tailored innovation support

the development of the bioeconomy holds great potential for driving growth in a sustainable manner still many european regions have yet to unlock this potential despite considerable investments in research innovation and business support in this context mainstreambio sets out to get smallscale biobased solutions into mainstream practice across rural europe providing a broader range of rural actors with the opportunity to engage in and speed up the development of the bioeconomy we start with regional multiactor innovation platforms mips established in 7 eu countries pl dk se bg es ie and nl to enhance cooperation among key rural players towards cocreating sustainable business model pathways in line with regional potentials and policy initiatives alongside them we support 35 multiactor partnerships to overcome barriers and get biobased innovations to market with handson innovation support accelerating the development of over 70 marketable biobased products and services in parallel we develop and employ a digital toolkit to better match biobased technologies social innovations and good nutrient recycling practices with available biomass and market trends as well as to enhance understanding of the bioeconomy with a suite of educational resources building on existing research results and tools along the way a monitoring and evaluation framework will gauge the performance and impact of our measures providing us with the intel required to catalyse mutual learning across regions and contribute to the creation of policy frameworks more conducive to the uptake of smallscale biobased solutions in rural areas in the process we cluster with relevant initiatives and offer tools to facilitate the replication of our results ensuring their longterm sustainability as viable solutions for supporting the growth of local inclusive and circular bioeconomies in other rural areas that can ultimately link to form a strong euwide circular bioeconomy
euro goship developing a research infrastructure concept to support european hydrography

observations from ships and in particular water column measurements remain the backbone of much oceanographic science including fisheries regional oceanography and global climate science every coastal country in europe has a programme of such observations that feeds data into evaluations in support of the marine strategy framework directive with these programmes being organised into both regional clusters and serving as contributions to wider international networks in 2019 as part of the oceanobs conference networks identified gaps in their requirements for support and here we propose a programme to address these requirements within the context of the european ri landscape the proposed new services and access opportunities based on the network needs presented at oceanobs areshared facilities such as training best practices access to capability and access to equipment through a european marine equipment pool emepdata curation to ensure fit for purpose data systems and metadata for both realtime and delayed mode qualitycontrolled datasecondary quality control to increase consistency and add uncertainty estimates to observations these will be refined by broad consultation with data originators governments funders and endusers in addition pilot activities will both provide immediate support to the networks and help to refine a statement of requirements these requirements will be compared to the set of services already available within the european ri landscape and on the basis of this a new structure for supporting european hydrography proposed possible models range from complete service delivery within existing ris and the establishment of no new structures through to the creation of an ri with a set of services unavailable elsewhere
accelerated cell and battery testing

todays battery development is impeded by a lack of virtualization resulting in costand timeintensive physical verification and validation vv activities acccellbat addresses these shortcomings by substantially advancing virtualization frontloading and continuous vv in future technology battery development to optimize battery design cost and timetomarketfocusing on beyond stateoftheart cell chemistry novel physicsbased and datadriven simulation models are developed to determine performance lifetime reliability and safety of battery subsystems to ensure model applicability and high confidence these models are accompanied by novel inlive model parameter measurement techniques and by upscaling methods to scale cell models up to battery system models models and measurement data are synthesized to digital twins to be utilized in vvto advance frontloading tests of these digital twins are merged with physical tests in a novel hybrid design verification and validation plan hybrid dvp methodology to objectively quantify and ensure the confidence of test results a tailored confidence index methodology for approval of the hybrid dvp is introduced based on systems engineering principles processes and methods currently used by acccellbat consortium members are combined with the hybrid dvp and optimized to create a processandmethod manual applicable for future battery development these building blocks of the full acccellbat methodology are implemented in a development tool which provides an integrated development environment for management planning and execution of battery vv the tool supports practitioners in development and significantly increases the level of process automationto ensure validity and applicability of the acccellbat methodology across industries the methodology is validated by two original equipment manufacturers representing via automotive and stationary application a crucial share on battery system market
geometry control and genericity for partial differential equations

many physics models are described by waves or more generally dispersive equations schrödinger equations with propagation in a non homogeneous and bounded medium toy models mostly in flat backgrounds have been developed by mathematicians however many questions remain open even on these simplified models in the presence of inhomogeneities and boundaries in particular the works of mathematicians in the last decade have allowed to exhibit some pathological behaviours which appear to be quite unstablea first point in this proposal will be to expand the understanding of the influence of the geometry inhomogeneities of the media boundaries on the behaviour of solutions to dispersive pdeswhen these behaviours appear to be unstable a natural question is whether they are actually rare the last years have seen the emergence of a new point of view on these questions random data cauchy theories the idea behind is that for random initial data the solutions behaviours are better than expected deterministically the second point of this project is precisely to go further in this direction after identifying these pathological behaviours is it possible to show that for almost all initial data almost all geometries they do not happenunderstanding how to combine the powerful techniques from microlocal and harmonic analysis with a probabilistic approach in this context should allow a much better understanding of these physically relevant modelssummarising the purpose of my project is to develop tools and give answers to the following questions in the context of dispersive pdes and to some extent fluids mechanicscan we understand the influence of the geometric background and boundaries on concentration properties and the the behaviour of solutions to dispersive evolution pdescan we define generic behaviours for solutions to waves and fluids pdes can we show that some very pathological behaviours which do happen are actually very rare