Dragon09/odtu_chatbot huggingface dataset:
moving forward to achieving climateresilient and sustainable european regional economic systems

farclimate will address the critical challenges of developing and expanding climateresilient measures making them available and understandable to everyone while also paying special attention to the social political and economic barriers that are commonly found farclimate actions will be implemented in at least 20 regions and communities in europe ie case studies where we will address transformative solutions on the path to climate resilience in order to achieve such a great challenge farclimate has set the following work program 1 initial work on engaging with all relevant stakeholders in each region setting governance management mechanism 2 establishment of living labs to perform cocreation testing experimenting and scalingup innovative activities in reallife environments 3 a deep research of the main value chains of the socioeconomic and environmental characteristics and of the existing economic sectors through indicators to be monitored of all investigated regions and communities 4 establishment of the transversal actions to be performed in all case studies tailormade training activities for communities empowerment targeting different types of stakeholders and based among climate change and related hazards and risks 5 the implementation of technical but also socially feasible innovative solutions in the agriculture forestry and fisheries economic sectors with specific solutions to increase their capacity to adapt to climate change impacts on their fields naturebased solutions will be the guiding thread in farclimate innovative actions 6 the creation of different tools to spread the obtained learnings found barriers and successful results among others during farclimate such as policy recommendations guidelines management plans and the innovative transformation hub
dynamics of mental representations and learning in preverbal infants

understanding the initial architecture and learning algorithms of the human brain are central goals for cognitive neuroscience anatomical and functional brainimaging studies have revealed that a complex brain architecture is already present at birth including features associated with adult brains such as structural and functional asymmetries longdistance connectivity and activations in prefrontal cortex despite such advances little is known about the depth of information processing and the richness of mental representations in human infants to address this issue i propose to study the dynamics of information processing and conscious access in 34montholdinfants using highdensity eeg 128280 channels combined with new methodological approaches such as decoding singletrial analyses of variability patterns and new paradigms that monitor infants attention with frequency tagging pupillometry and eyetracking i will separate infants shortlived externally triggered versus sustained internally driven responses and shed light on their roles in early learning wp1 will study whether the properties associated with conscious access in adults ignition topdown amplification serial bottleneck are already present in infants and explore how ongoing neural activity topdown expectations and bottomup stimulus features combine to modulate conscious access wp2 will investigate the dynamics of acquisition and manipulation of symbolic representations experimental manipulations combined with finegrained analysis of the temporal dynamics of eeg signals will clarify the time constants of infant cognition how fast a stimulus enters perceptual awareness how long attention can be maintained how robust is this central representation to competing inputs and how quickly it leads to stable learning this project aims to enhance our understanding of early cognition as well as provide new paradigms to shed light on early learning disabilities
optimizing sensitization for solidstate triplettriplet annihilation upconversion

improving the efficiency of solar cells can have far reaching impacts globally the proposal optsentuc is devised to improve the quantum yield of solidstate triplettriplet annihilation upconversionsttauc by optimizing the sensitization process sttauc can be exploited to extend the absorption spectral range of any solar cell and hence can significantly improve single pn junction solar cell power conversion efficiency beyond the fundamental shockley queisser limit the first part will focus on understanding the major loss mechanism in sttauc the back transfer of upconverted excitation energy via förster resonance energy transfer fret and will try to address it by quantitatively optimizing sensitizer parameters based on this study a sensitizer concentration threshold with respect to förster distance will be established and an annihilatorsensitizer pair with least fret loss will be identified the threshold intensity for ttauc is usually orders of magnitude higher than the solar flux and decreasing sensitizer concentration to reduce fret will further increase this threshold the second part of the proposal will address this challenge by coupling the sensitizer absorption with a cavity mode so that the ability of the upconversion system to absorb light will be enhanced a simultaneous coupling of another mode of the cavity will make sure the outcoupling efficiency is not compromised due to cavity introduction thus enhancing the scope of sttauc in real world applications
a fermionic orbital quantum simulator with local digital tunnelling gates

fermions are ubiquitous in nature and the study of fermionic systems with strong correlations lies at the centre of many fundamental and relevant problems in modern physics and chemistry any microscopic simulation not only needs to treat exponentially large hilbert spaces but also has to accurately represent the fermionic exchange statistics however classical numerical methods suffer from a wellknown sign problem and conventional gatebased quantum computers employ distinguishable spin12 degrees of freedom which requires a significant algorithmic overhead for handling fermionic systemsforbq will be the first quantum processor with digital gates that addresses the anticommutation on the hardware level by using fermionic neutral atoms drawing from my tenyear experience with optical superlattices and quantum gas microscopes i will develop stable programmable tunnelling and exchange gates in an optical lattice with full local control over the tunnelling rates with tunable collisions of atoms and a rapid cycle time forbq introduces a digital bottomup approach for the simulation of strongly correlated fermi systems by directly controlling the coupling between fermionic spin orbitals forbq will implement local 2d hamiltonians efficiently without the cumbersome fermiontospin qubit mapping i will apply the novel hardware to open questions of hole pairing and exotic superconductivity in the hubbard model as well as perform the first simulations of molecules inherently the atoms implement particlenumber conservation and spin symmetries making forbq a powerful platform for electron simulations from multiband hubbard models to quantum chemistryforbq combines welltested robust technologies of ultracold atoms with concepts from quantum computing to create the first fermionic quantum computer and outline a clear path towards a practical quantum advantage for the simulation of electrons
cherenkov light module for timeofflight positron emission tomography

timeofflight positron emission tomography tofpet is the standardofcare in cancer detection tofpet scanners performance is dependent on the radiation detectors they use improving time and spatial detection features in such detectors will dramatically impact the diagnostic capacity of tofpet systems the goal of this project is to build a gamma detector concept for tofpet able to improve the time resolution and spatial segmentation of stateoftheart detectors by a factor of up to 7 and 10 respectively without additional production costs chloepet is a forwardlooking gamma detector design for tofpet able to exploit the new photodetector technologies that are currently under development and will become available within the next 5to10 years the novelty of the proposed design lies in using cherenkov light as a prompt time source using an innovative geometry optimized to maximize light collection and employing photodetectors with small pixel pitch this project is the first attempt to build a detector module scalable to a fullsize system that can be used in a hospital setting the chloepet detector will consist of bismuth germanate bgo crystals with 12 mm thickness and will combine the readout of scintillation and cherenkov light chloepet will provide an effective 3d segmentation of 2x2x2 mm3 an intrinsic photon time spread of 20 ps and no intrinsic radiation background unlike stateoftheart tofpet detectors such improvements will allow increasing the signaltonoise ratio of images by 2fold to be able to detect lesions of 2 mm size 3 times the current performance to build portable highperformance organdedicated tofpet systems and to universalize the use of dynamic tofpet studies the combination of these outcomes will provide significantly better diagnostic capabilities in a range of fields such as oncology neurology or cardiology among others and ultimately boost treatment efficacy and patient comfort
unlocking the effect of residual elements via the nanoengineering of sustainable martensitic steels

the european steel industry is at a critical juncture squeezed between brutal market conditions and the commitment to mitigate climate change the iron and steel industry is responsible for high greenhouse gas emissions particularly carbon dioxide co2 constituting 57 of the total emissions in the eu 22 tonnes co2 per tonne of crude steel cast refer to world steel data several european steel producers including arcelormittal have committed to fulfilling the goals outlined in the paris agreement and aligning with the european unions target of achieving zero emissions by 2050 as part of the green deal initiative these engagements entail a shift from the predominant method of steel production currently reliant on blast furnacebasic oxygen furnace bfbof technology to cleaner production techniques characterized by significantly lower co2 emissions as the industry shifts toward cleaner production methods particularly those utilizing electricarc furnaces eaf and emphasizing the recycling of iron scrap concerns arise about the potential contamination of steel with residual elements like cu sn as sb and pthe nanosmart project emerges as a response to this pressing need focusing on the systematic and indepth analysis of the impact of residual elements in martensitic steels martensitic steels vital across key sectors such as construction automotive energy and defense play a pivotal role in the eus efforts to achieve climate neutrality and increase renewable energy usage the project addresses macro micro and nanoscale considerations encompassing the entire steel production process nanosmart project aims to provide clear guidelines for redesigning grades and validating technologies in relevant environments by bridging knowledge gaps and embracing cuttingedge technologies nanosmart endeavors to revolutionize martensitic steel production contributing to a sustainable and circular economy in the eu
the whiteness of wealth management colonial economic structure racism and the emergence of tax havens in the global south

tropical islands are often stigmatized as tax havens but only a few tropical islands are important exporters of financial services this is surprising since many of them feature attributes associated with tax havenry they are small sovereign reachable from major financial centers within a few hours and practice british common law why have so few applied tax havenry as a development strategy nonetheless conventional wisdom suggests that political stability often measured with contemporary indicators of good governance makes the difference the perception of political stability among foreign investors is however interwoven with racist biases previous research shows that tropical islands had to emphasize their british heritage essentially a code for whiteness to attract foreign capital during decolonization wowmas objective is thus to explain why some tropical island jurisdictions were better able than others to convey stability through an image of whiteness in this historical period in contrast to previous research emphasizing the rule of law wowma investigates the hypothesis that the absence of income taxes paired with white control over government distinguished emerging tax havens from other tropical islands to this end wowma 1 proposes a new theory on the emergence of tax havenry in the global south linking an islands economic structure under colonial rule to the absence of income taxes and the persistence of white oligarchy 2 applies causal inference methods on original historical data gathered from archival sources and 3 probes the persistence of racist biases in investment decisions through conjoint experimentsthe project provides unprecedented depth in the study of small island states political and economic development it foregrounds the entanglement of racism with perceptions of political stability and develops new strategies for its measurement
feedbacks on extreme storms by ocean turbulent mixing

i propose to use autonomous underwater ocean glider vehicles with a newly developed airborne deployment system to measure ocean turbulence in extreme storms such as hurricanes typhoons and tropical storms these will be the first vertically resolved measurements of ocean turbulence in extreme storms and will lead to a new understanding and improved estimates of the oceanmixing that is responsible for setting upper ocean temperatures a crucial and poorly constrained feedback on storm intensityby combining the observations with turbulenceresolving large eddy simulations performed on high performance computational clusters a new observationallyconstrained model of the oceanstorm mixing feedback will be constructed that fills a much needed gap in the coupling of extreme storms to the ocean this is crucial since extreme storms are increasing in strength and frequency through climate change and are leading to record damages and loss of life in coastal communities such measurements are only now possible since my research team has played a major role in pioneering the use of microstructure turbulence measurements from autonomous underwater gliders particularly in stormy conditions the final outcomes of the project will consist of i an airborne deployment system for the study of extreme events using autonomous vehicles ii the first observations of upper ocean turbulence and mixing in extreme storms iii a sequence of turbulenceresolving numerical simulations that together with the observations will identify and quantify processes responsible for setting upper ocean heat fluxes and turbulent structure in extreme storms and iv a new parameterisation for ocean mixing in extreme storms that quanties the oceanstorm feedback and its implementation inthe forecasting model of the european centre for mediumrange weather forecasts ecmwf
redoxmediated hybrid zincair flow batteries for more resilient integrated power systems

the penetration of renewable energies into the electric grid increases the demand for energy storage to ensure reliable power supply grid resiliency and cost reductions longduration and longterm energy storage ldes and ltes can bridge the intermittency of renewable sources and reduce the risks incurred by diminished fossilfuel baseload generation electrochemical energy storage ees or liion batteries libs are considered for shortduration energy storage 46 hours when talking about seasonal storage hydrogen storage is usually the preferable option the goal of rezilient is to fill the gap between shortterm ees and longterm hydrogen storage by developing and demonstrating at labscale 0515kw6kwh a completely new znair flow battery technology the estimated capital cost for largescale deployment is approximately 80 kwh with a levelizedcostofstorage 05 kwhcycle based on 100 kw1000 kwh system 1 week discharge duration a disruptive redoxmediated strategy for enhanced charge transfer processes is employed with the goal of confining the znzn2 redox reaction in the negative reservoir filled with a semisolid zinc solution and eliminating the electroplating process inside the cell no dendrites to improve battery lifetime this will allow discharge times beyond days contrary to conventional zincbased batteries where long discharge is hampered by the formation of a cmthick zinc anode if successful the technology has disruptive potential in terms of both extremely low levelizedcostofstorage extended storage time recyclability and use of noncriticalrawmaterials a pilot concept design of the cell will be conceived after demonstration of the technology the output of this design will lead to an update of the business case of the distribution network operators and potential customers
apac the first targeted therapy for peripheral arterial occlusive disease

there is a major unmet need for effective and safe therapies for advanced peripheral arterial occlusive disease paod due to the high cardiovascular mortality morbidity and amputation rates in these patients aplagon is developing the first vascular injury targeting product apac for the local treatment of advanced paod paod is caused by fatty deposits in lower limb arteries atherosclerosis that become inflamed thromboinflammation resulting in blood coagulation atherothrombosis apac uniquely targets these vessels prevents further atherosclerosis and downregulates thromboinflammation the main drivers of paod aplagon has completed preclinical proofofconcept and toxicology studies and received a regulatory approval to enter clinical studies aplagon has an experienced international team and is supported by a renowned scientific advisory board we are applying for eicfunding to show the safety and efficacy of apac in paodclipatients a major value inflection point
towards a new zero food waste mindset based on holistic assessment

food waste is a major problem around 88 million tonnes of food is wasted annually along the eu supply chain from primary production to consumption with associated costs of 143 billion the associated environmental impact is also huge global food loss and waste is equivalent to 810 of total anthropogenic ghg emissions and costs around 1 trillion per year and 30 of agricultural land is wasted the situation may be even worse as statistics indicate that 70 of all food lost or wasted by humans may be unrecorded because it originates from primary production or is used as animal feed in parallel the assessment of this problem remains unresolved not only because it is extremely complex due to the lack of open access data and the absence of a standard methodology for comprehensive assessment in real food systems but also because it affects the commitment of private entities that need to assess the costeffectiveness and sustainability of food waste prevention and reduction fwpr solutions in order to act tonowaste is a 48month project in which 21 institutions from 7 countries collaborate to overcome this challenge with a multistakeholder and interdisciplinary approach that considers not only agronomic economic environmental and business model challenges but also other crosscutting aspects such as psychology law and social innovation to fight also against gender and social inequalities tonowaste will inspire market actors to use science and evidencebased assessment tools and data to make better decisions towards more sustainable food production and consumption patterns it starts from research on what makes the best decision regarding fwpr actions in the fresh food value chain it is an open innovation ecosystem designed to leverage previous findings for the identification of social technicalenvironmental economic politicallegal ethical and demographic drivers and to collaborate with ongoing rd actions to propose comprehensive fwpr solutions
connecting the dots going backwards an epigenetic memory recorder to trace ancestry during mouse gastrulation

during development a cells fate will become increasingly restricted facilitated by the combined activity of transcription factors and epigenetic modifiers singlecell rna sequencing has greatly improved our appreciation of the transcriptional dynamics underlying lineage specification however we still do not fully comprehend how epigenetic modifiers guide this highly dynamic process as methods that enable us to accurately concatenate a cells past and present epigenetic state with its current lineage identity are missinghere i propose to investigate the combined dynamics and interdependencies of transcription and the polycombgroup of proteins during the differentiation of mouse embryonic stem cells into gastruloids first i aim to deploy a protocol that enables the simultaneous quantification of both layers in the same single cell to disentangle epigenetic from transcriptional heterogeneity second i aim to develop a molecular memory system to record the past epigenetic profiles of single cells this system will be based on the expression of proteins fused to a bacterial dcm methylase which will allow for the timed recording and faithful transmission of historic epigenetic profiles combined with quantification of transcription of the same single cell this will enable us to directly integrate past epigenetic states with the current identity of single cellsthe proposed work here will therefore allow us to directly assess the role of epigenetic modifiers on establishing cell fate choice and will have important implications on our understanding of the regulation of mammalian development
closing the immunization gap by reaching zerodose children through improved equitable and costeffective vaccine delivery strategies

in spite of high immunization coverage in many countries pockets of zerodose zd children still exist as well as communities neglected by current immunisation efforts the immunization agenda 2030s goal of reducing the global count of zd children by 50 remains unfulfilled and has faced setbacks due to the covid19 pandemic the reachout project endeavours to contribute to this crucial goal by developing and testing enhanced strategies for the delivery of essential routine vaccines to zd children in kenya nigeria and rwanda the project has delineated four specific objectives first we will gather and analyze survey data on vaccination behaviour factors to better comprehend zd children also advanced geospatial and epidemiological methods will enrich existing geographical information systems gis and create precise risk maps for immunization support second by employing a humancentered approach we will design gisaugmented vaccine delivery strategies tailored for zd children innovative geospatial decisionsupport tools will optimize microplanning implementation and monitoring third in each target country we will conduct thorough implementation studies and scenario analyses via epidemiological models to assess the interventions costeffectiveness financial sustainability and equity impact fourth we will strengthen the capabilities of incountry partners and stakeholders well explore scalability to ensure sustainability beyond the project fostering wider adoption this endeavour will be taken forward by a robust consortium of eight partners including five from the eu and three from subsaharan african countries providing a multidisciplinary expertise in public health health service research and health policy medical science epidemiology statistics and health economics