Dragon09/odtu_chatbot huggingface dataset:
universal opensource and cybersecure digital twin to provide investors in onshore wind farms valuable insights about current operations and future investments

twinvest intends to create the foundations of a universal opensource and cybersecure digital twin to provide investors in onshore wind farms valuable insights about current operations and future investments guide investment decisions in wind energy is a complex as it involves various factors to monitor or assess such as energy production maintenance investment framework and characteristics of the wind farm in order to tackle those different factors a team of 14 partners have united to create a digital twin that seamlessly integrates and considers all these factors this digital twin will have different platforms i framework investment conditions platform focuses on energy storage energy demand and pricing dynamics regulatory mechanisms and the essential grid requisites for ancillary services ii component to farm platform focused on different components used for the turbines nominal energy production capex estimation of the investment iiienvironment and earth platforms objective is to assess the impact of weather and wind dynamics culminating in the provision of realtime energy production projections and iv maintenance and risks platform aiming to optimize opex by leveraging predictive methodologies to anticipate potential system failuresthe project duration will be 42 months and it will be structured in 3 stages stage 1 platform and model development where the research partners will develop train and explore different ai models that allows the investor to forecast and monitor essential factors in a wind farm stage 2 m6m42 digital twin integration where the different mentioned platforms will be integrated ensuring the interoperability among all models and stage 3 m25m42 individual platforms and digital twin validation where the twinvest digital twin will be validated with real wind energy farms from the industry and will be used to conduct feasibility studies on investment plans coming from industry to show its capabilities
treating liver metastasis

liver metastases commonly develop in up to 50 of patients with various cancer types the most common cancer that metastasizes to the liver is colorectal cancer crc at least 25 of crc patients develop colorectal liver metastases crlm during their illness crlm represent the major unmet clinical need for this malignancy as the 5year survival rate of patients with unresectable disease does not exceed 2 new therapies that promote antitumor immunity have been recently developed mostly focusing on enhancing t cell responses although these therapies have led to unprecedented successes only a minority of patients benefit from these treatments highlighting the need to identify new cells and molecules that could be exploited in next generation immunotherapies given the crucial role of innate immune responses in immunity targeting these responses opens up new possibilities for tumour control we hypothesize that the immunotherapy of liver metastases can be significantly improved through harnessing the biology of innate lymphoid cells ilc such as natural killer nk cells and ilc1s and myeloid cells such as macrophages and dcs our team brings together experts in the biology of tissueresident myeloid ginhoux pi4 and lymphoid gasteiger cpi cells in liver immunology fumagalli pi3 and in the development of novel immunotherapeutic strategies that modulate immune cells in the fight against cancer vivier pi2 by combining cuttingedge single cell and spatial transcriptomics of human patient samples with crossspecies analyses in advanced genetic mouse models we aim 1 to identify cellular interactions defining the metastatic tumor microenvironment across murine and human tissuespecimens 2 to investigate immune cell functions regulating metastatic disease using a unique combination of advanced genetic mouse and human tissue models and 3 to harness the antitumoral functions of innate immune cells via next generation cell engagers
international study for treatment of childhood relapsed all 2020

relapse of acute lymphoblastic leukemia all remains a leading cause of mortality in childhood cancer intreall 2020 will conduct randomized and historically controlled trials in children with relapsed bcell precursor bcp all with the aim to replace toxic chemotherapy with better tolerated and more efficacious immunotherapeutic drugs in standard risk sr patients the cd22 directed antibodydrug conjugate inotuzumab ozogamicin ino will be randomly compared with standard of care soc allr3 induction all patients will receive one soc consolidation and one blina course compared to historical controls sr patients with mrd good response will receive 2 additional blina courses replacing chemotherapy randomly compared with soc patients with highrisk relapse will receive induction investigating ino versus allr3 in an industrysponsored trial followed by intreall consolidation and allogeneic hsct patients with isolated extramedullary iem relapse are treated based on allrez bfm 2002 backbone intreall 2020 will establish a federated relapsedrefractory leukaemia board generating personalized recommendations based on clinical moleculargenetic and drug response profiling data patients with veryhigh risk disease will receive experimentalpersonalized therapies including a trial investigating cd19directed chimeric receptor antigen car tcells produced in academic institutions other car tcells trials as well as an induction trial for tall relapse will be developed documentation and monitoring of the trials and the individualized treatment will be realized using the marvin database comprehensive statistical and data management activities will warrant the accuracy and interpretability of the data intreall 2020 involves representatives from participating pharmaceutical companies and ema as well as patientparent advocates to discuss strategies for developing new drugs within academic trials warranting a benefit for all patients on the resultsthis action is part of the cancer mission cluster of projects on diagnosis and treatment
evolutionary feedback between traits and species diversification convergence and divergence in sympatric butterflies of the amazonian rainforest

this project will bridge gaps between micro and macro evolution by ascertaining the evolutionary feedbacks between trait and species diversification focusing on closelyrelated species living in sympatry sympatric species often differ in suites of traits involved in niche partitioning how do ecological interactions induce the sequential evolution of series of traits in turn how does phenotypic divergence open up new niches and fuel sympatric speciation the project focuses on the neotropical butterfly genus morpho where multiple behavioural and morphological traits strikingly differ between sympatric species living in the canopy vs understorey studying trait variations within and among these closelyrelated species living in sympatry allows reconstructing the evolutionary steps leading to the divergence in suites of traits linked to niche specialization within the understorey clade striking parallel geographic variations are observed among sympatric species resulting in repeated local convergences in iridescent blue wing patterns that may be driven by mimicry among these fastflying conspicuous butterflies such evasive mimicry may induce costly reproductive interferences favouring segregation of circadian activities between species and thus contributing to the speciation process the project relies on the original combination of both uptodate and fieldbased approaches 1 cuttingedge phenotypic characterisation of complex traits eg iridescence flight 2 empirical estimations of selective forces with wild butterflies 3 machine learningbased population genomics applied to demographic inferences 4 and mathematical modelling of densitydependent processes with stochasticity these innovative approaches will shed light on unrevealed ecological interactions between species impacting diversification of traits and species therefore bringing major scientific breakthrough and attracting society attention on biodiversity loss in amazonia
safeguarding female fertility development of humanrelevant in vitro tools for reproductive toxicity

chemical health risk assessment has failed to safeguard fertility in women women and their oocytes are exposed to pervasive mixtures of humanmade chemicals that correlate with reproductive ageing and infertility only 05 of the chemicals on the european market have been well characterized for health risks and reproductive toxicity in women is typically not covered due to missing tools the new european growth strategy aims at sustainable growth zeropollution and safe chemicals while the need for increased chemical testing is tangible there is a movement to phase out animal experiments this creates a huge challenge to deliver on the vision of a safe and toxicfree environment here i will develop new highcontent assays for reproductive toxicity in women safer is built on my exceptional ovary biobank established stem cell lines and multiomics technologies using chemically exposed ovarian tissue and stem cell derived blastoid cultures safer will map mechanisms mediating toxicity by highresolution epigenetic and transcriptomic analyses model chemicals are chosen based on ubiquitous presence in women and significant associations to decreased ovarian function as shown by my cohort studies the identified mechanisms will be tailored into reporter genes that i will insert into new immortalized human ovarian cells as well as stem cells and develop into highcontent screening assays the product of safer is novel in vitro tools for screening of female reproductive toxicantstaken together safer sets an example for animalfree derivation of assays for chemical safety assessment safer tools will contribute to identification and restriction of chemicals that pose a hazard to womens health this is an important step in the global movement towards a nontoxic safe environmentstarting a family is a basic human right and whether to have a child or not should be decided by the prospective parents not by the chemicals in their environment
smart disassembly functionalisation and reassembly of plant fibres for fully recyclable biobased composites

the building and construction sector are material intensive and heavily dependent on fossilbased synthetic ingredients therefore are strong contributors to co2 emissions globally and euwide these industries are under tremendous pressure to find fully renewable alternatives with competitive performance natural fibres will play a pivotal role in enhancing the sustainability and resiliency of these industries and help europe deliver on defossilization and green deal goals however the widespread utilization of wood and other plantfibrebased materials is hampered by the inherent natural variability and inhomogeneity of biomass and requires the assembly of plant fibres with fossilbased synthetic adhesives coatings and resins in order to achieve the required properties these materials are partially biobased which raises challenges with recyclability and hinders the full potential of fibrebased composites in the circular economy there is a strong urge to integrate woodderived wastestreams in particular large amounts of lignin produced on an industrial scale into emerging product applications in the eu bioeconomy to tackle these challenges refibre aims at training 11 doctoral candidates dcs with an entrepreneurial and sustainabilityoriented mindset in the disciplines of circular engineering green lignin chemistry new biobased materials environmental systems science to generate fully recyclable functional wood and plant fibrebased materials with advanced capabilities and performance the dcs will develop technical competencies not only in a breakthrough scientific field but also in interpersonal and daytoday skills allowing them to work and collaborate across academic and industrial sectors this training will significantly contribute to their employability as future leaders in the fields of biorefining chemical industry and sustainable manufacturing industry supporting the green transition and a sustainable circular economy in europe
quantum simulation with universal nonlinear optics

quantum information processing is a transformative technology that will address societal needs by obtaining unprecedented computational power with quantum computers and simulators unconditionally secure quantum communications and quantumenhanced sensors photons play a central role in the development of quantum technologies due to their unique capability to encode quantum information with lownoise transmit it over long distances and process it in scalable photonic circuits however the lack of photonphoton nonlinearities poses a central challenge in the development of photonic quantum technologies the aim of this proposal is to address this limitation for nextgeneration quantum photonic devices the enabling technology is the combination of two quantum photonic platforms lightmatter interactions with quantum dot emitters in integrated nanostructures and programmable quantum photonic circuits performing universal transformation in the temporal degree of freedom through the use of highquality lightmatter interfaces and efficient interconnection with photonic circuitry this project will 1 develop devices able to perform highquality programmable nonlinear circuits and 2 demonstrate how such devices can be used to implement nearterm applications focusing on the quantum simulation of anharmonic molecular dynamics the developed platform solves a critical set of challenges that have limited the scaling of quantum photonic devices enabling transformative quantum photonic technologies for quantum computing and networking the synergy between my strong experience in programmable quantum photonic devices and applications the worldleading expertise of prof lodahls host group in integrated lightmatter interactions and the high interdisciplinarity of the niels bohr institute and university of copenhagen makes us uniquely placed to execute this ambitious project
miniature trace gas analyzers with ffp microcavities

fiber fabryperot ffp microcavity technology developed in the erc project equemi enables handheld gas analyzers based on cavityenhanced laser spectroscopy with a combination of small size and high performance that does not exist in any commercial instrument today furthermore the ffp principle also enables fibercoupled arrays of costeffective passive remote sensors read out by one central unit using scalable fiber multiplexing technology developed for the telecom market both features enable fast easy and costeffective emission measurements of ghg and other trace gases in areas where they are not practically feasible today finally the microscopic size of ffp cavities means that extremely small gas samples below one microliter cavity volume can be analyzed and high bandwidth can be achieved with low gas throughput here we propose to demonstrate the performance of such instruments by building a demonstrator for methane detection investigate market potential and prepare commercialization with a team of founders that is already in place
forestvalue2 innovating forestbased bioeconomy

european research resources in the forestbased sector remain fragmented due to multiple uncoordinated activities forestvalue2 is to contribute i to provision of a shared and robust knowledge base to make europes transition to being the first climate neutral continent by 2050 a reality and ii overcoming the fragmentation of public research efforts in the eu and to reinforce work on research priorities that call for a stronger coordination and collaboration encouraging wide engagement in particular earlystage researchers and eu widening countries the csa will strengthen the eraforestvalue2 brings together 14 owners and managers of national and regional rdi programmes in 11 member states of the european union fi ie de es si lv pl sk it ee ro and in one associated country no with an aim to coordinate national and regional ri programmes by pooling national resources and contributing to the alignment of national research and innovation policies the project has four main objectives 1 identification of common research and innovation priorities agreed among the participating national and regional ri programmes in the area of forestbased bioeconomy taking into account international developments where relevant 2 implementation of a joint calls resulting in the funding of transnational collaborative ri projects 3 implementation of other joint activities supporting the market regulatory or societal uptake based on forest science results 4 a multiactor approach in addressing global challenges including relevant contribution to the sdgs six of the partners come from the widening countries whilst at the same time representing the bioeast initiative forestvalue2 will address improving access to excellence through a portfolio of actions that aim at building up ri capacities especially in eu13 and ukraine and republic of moldova to enable them to advance to the competitive edge at european and international level
supporting the just transition for the fashion sector

just fashion is set to develop a portfolio of approaches to support and accelerate climate transition in the fashion industry by providing businesses in the partner countries with a reference framework and tools to shift their production methods internal proceduresand final products towards more sustainable models that are lower carbon circular and socially inclusivejust fashion aims to address this problem by 1 mapping the current state of fashion and sustainability in europe 2 mapping and evaluating tools and on circular business models3 create a process of interventions to support these tools and support existing networks in preparing msmes and smes for the new legislation on the european green deal4 central elements of the projects1 development of a new sustainability index as well as testing and refining several circular business model tools that are already in use in different areas and are already being tested in these countries2 run 6 pilot cases from different regions focussing on different aspects of circularity end of life materials zero waste prototyping circular business models recycling techniques transparencytraceability 3 update current instruments and tools in transformation mitigation 4 develop the necessary instruments to better prepare msmes for european green deals in terms of policy regulations through buidling an ai support tool
informed decisionmaking for agroforestry systems in africa through a network of living labs

afrogrow proposes a comprehensive strategy to promote and advance sustainable agroforestry practices across africa addressing key challenges related to climate resilience biodiversity conservation and socioeconomic development by focusing on collaboration innovation and capacity building afrogrow aims to transform agroforestry systems into resilient multifunctional landscapes that enhance food security mitigate climate change and promote inclusive growth through a network of six living labs afrogrow will facilitate participatory research and innovation enabling local communities researchers and policymakers to cocreate sustainable agroforestry solutions tailored to diverse ecological and socioeconomic contexts these living labs will serve as hubs for knowledge exchange technology transfer and capacity building empowering stakeholders to adopt and implement best practices in agroforestry management afrogrow will develop regional suitability maps for local plant species and animal breeds facilitating informed decisionmaking for stakeholders simultaneously it will conduct comprehensive impact assessments of regenerative management measures providing evidence and databased recommendations for policy formulation and decisionmaking this will enhance ecosystem resilience through sustainable land management practices and secure human wellbeing central to afrogrows approach is the promotion of gender equality and social inclusion recognizing the critical role of women and youth in agroforestry development by fostering equitable participation and representation afrogrow aims to amplify the voices of marginalized groups and ensure that agroforestry interventions benefit all members of society through collaborative partnerships interdisciplinary research and stakeholder engagement afrogrow seeks to catalyze a paradigm shift towards resilient inclusive and environmentally sustainable agroforestry systems within the african union
longterm consequences of altered tree growth and physiology in the earth system

forests cover a third of the vegetated surface of the earth and interact with global climate these interactions are being altered by human activities at an unprecedented scale both in their rate and in their geographical extent at present earth system models esms struggle to predict how these climatevegetation interactions will evolve in the future because of varied responses of the carbon cycle in their land surface models lsms this longstanding issue leads to widely varying atmospheric co2 concentrations and hence varying climate projections under the same scenarios lsm projections of forest biomass and carbon balance increasingly diverge over longer periods thus limiting confidence in future climate projections the goal of this proposal is to develop a new crossdisciplinary framework to constrain climate projections by jointly improving the simulation of forest growth and water use efficiency wue the ratio of photosynthesis to transpiration at long time scales decades to century using novel observational standards for historical growth and physiology derived from treering data the following three objectives are addressed 1 advance the mechanistic representation of treering growth and stable isotopes in the global lsm orchidee the terrestrial component of the ipsl esm 2 use treering data together with eddy covariance flux measurements to improve the capability of the model to simulate the effects of changing climate co2 and nitrogen on forest growth and wue 3 provide the first climate simulations until 2100 constrained by historical forest responses the constrained projections will reduce uncertainties on the feedbacks of altered tree growth and physiology on climate the proposed work will bring into earth system modelling decades of advances made by dendrochronologists around the world providing at last a critical longterm constraint for the land surface modelling community as icecores are for global circulation models
artificial intelligencebased parkinsons disease risk assessment and prognosis

parkinsons disease pd is the most common neurodegenerative movement disorder with a multifactorial aetiology heterogeneous manifestation of motor and nonmotor symptoms and no cure pd is often missed or misdiagnosed as early symptoms are subtle and common with other diseases allowing for considerable damage to occur before treatment moreover selecting the optimal medication regimen is usually a lengthy trial and error process leading to critical costly nonadherence following a trustworthy and inclusive approach to ai development and based on multidisciplinary expertise and broad stakeholder engagement aiprognosis aims to advance pd diagnosis and care by 1 developing novel predictive ai models for personalised pd risk assessment and prognosis in terms of time to higher disability transition and response to medication based on multisource patient records and databases including indepth health phenotypic and genetic data 2 implementing a system of biomarkers informing the ai models by tracking key riskprogression markers in daily living and ultimately 3 translating the models and digital biomarkers into a validated privacyaware aidriven toolkit supporting healthcare professionals hcps in disease screening monitoring and treatment optimization via quantitative explainable evidence and empowering individuals withwithout pd with tailored insights for informed health management