Dragon09/odtu_chatbot huggingface dataset:
bioinspired composite architectures for responsive 4 dimensional photonics

bio4d aims to achieve a fundamental understanding and develop a true biomimetic model of natural responsive photonic systems from air paradise bird to land panther chameleon and soil hoplia argentea beetle to water neon tetra fish nature has enabled organisms to morph their colour visibility and reflectivity to camouflage signal mimic distract and regulate biological processes due to the complexities of these systems true synthetic analogues have not been achievable to date bio4d will develop novel responsive 3d photonic structures by combining selfordering photonic nanomaterials with stateoftheart 3d fabrication at the nano and microscale this will enable dynamic photonic behaviour including controllable refractive index adaptable reflectivity and transmission angle independency and stimuli response this highly ambitious goal will be achieved bydeveloping selfordered photonic nanomaterials in stimuli responsive hydrogel networksunderstanding the effect of combining photonic substructures and superstructures fabricated via 2photon polymerisation using finitedifference timedomain analysisfabricating biomimetic 3d photonic structures from composite hydrogels using 2photon polymerisationdemonstrating 4d photonic structures that show ondemand dynamic optical responsethis will enable truly biomimetic models through selfordering nanomaterials modelling keratin and chitin stimuliresponsive materials modelling motor proteins and actin filaments and 3d direct laser writing yielding ordered and disordered superstructures these stimuliresponsive photonic structures will offer a direct pathway to applications in active display technologies biometric recognition polarisation encryption and extremely lowcost sensing in liquid and gas the fundamental breakthroughs that will be achieved will be far reaching in materials development chemistry and physics
social space and nature conservation in the gerzxurs transboundary biosphere reserve portugalspain

the project aims to analyze the social space of nature conservation in the gerzxurs transboundary biosphere reserve at the borders of portugal and spain to do so it will be necessary to incorporate an entirely new methodology into classical social space studies in order to account for the environmental dimensions of social dynamics specifically advanced geospatial analysis combined with ethnographic approaches will be added to geometric data analysis mainly the established methodology for the social space construction this contribution is based on the parameters of a nonintrusive approach to living conditions proposed by virgilio borges research team at the institute of sociology in the university of porto ramos et al 2021 the inclusion of the environment into the social space of nature conservation will lead to the development of a new approach to current ecological problems as a result the research findings will provide alternatives to understand prevent and manage the main conflicts facing sustainable development in the gerzxurs transboundary biosphere reserve in sumary the social space of nature conservation aims to model the socialenvironmental interdependencies surrounding a biosphere reserve by a strong synergy of spatial statistical and ethnographic methodologies this social space can be replicated compared and improved in its operation in other biosphere reserves of the world
porous media life and death of their waves and flames

turbulent combustion of fossil fuel remains an important source of energy creation and propulsion worldwide generating pollutant emissions endangering both human health and climate a major factor inhibiting the mitigation of emissions pertains to combustion instabilities ie large pressure oscillations resulting from a coupling between unsteady combustion and pressure waves carrying out the combustion within porous inert media holds great promise for lean combustion owing notably to a strong heat recirculation effect occurring inside them despite the recognition that porous materials are natural wave absorbers very little has been studied so far regarding the potential synergy between combustion instabilities and porous media poroleaf aims to pioneer the field of research residing at the intersection between the disciplines of waves turbulent combustion and porous media a new set of scientific challenges will be introduced related to the complex flow physics involved in porous media combustion as well as the difficulty of accessing the physical fields within the pore matrix to tackle these challenges i will build on the skills developed during my thesis in the characterization of porous media microstructure as well as recent advances in 3d printing technology for heat resistant materials to create porous samples allowing optical access this will pioneer the way for a new set of stateoftheart experiments i aim to leverage decades of previous work in combustion instabilities and focus on the new behaviors introduced by porous media in particular the effects of turbulence entropy vaporization and flame dynamics will need to be reevaluated in light of porous media interactions the improved knowledge of these principles will enable unprecedented understanding of the influence of porous media properties on the nonlinear flame response this will directly assist in the design of cleaner and more stable combustion processes
solarpowered multienergy hub for electric vehicle and district heating thermal energy storage

transportation electrification and adoption of district heating dh are both critical technical approaches toward the european unions eus carbon neutrality goal in 2050 however the expansion of electric vehicle ev adoption is currently impeded by power supply shortage where the situation is similar for the dh regarding thermal energy supply distributed photovoltaics for ev pvev charging is a promising solution because they can be deployed at reasonable costs with flexible capacities and locations however the inherent mismatch between power generation and charging demand remains unsolved this project proposes to develop a novel distributed solarpowered multienergy hub that integrates pvev charging stations and dh thermal energy storage for improving renewable selfconsumption alleviating evinduced grid stress and enhancing dh energy flexibility excess pv power is exported to thermal network via heating device storing energy in the thermal inertia of the dh network and enduser buildings and reducing peak heating demanddevelopment of the multienergy hub will be achieved through joint efforts of numerical simulation and reallife studies a comprehensive performance investigation will be conducted for the proposed multienergy hub to identify its design boundary based on which a simulationbased design optimization method will be developed for improving its operating performance a modelpredictive control framework will be established finally a proofofconcept of the multienergy hub and the control framework will be achieved through testing on energy planning and design of existing and new areas with the ev adoptions and renewable penetration facilitated by the multienergy hub the research outcomes will effectively contribute to the eus carbon neutrality target
developing firstinclass diamondbased quantum microscopy for immediate semiconductor industry applications

semiconductors are an essential component of modern electronics the miniaturization of semiconductors has been a key driver of technological innovation however as semiconductor technology continues to advance the available quality control methods such as thermal imaging or voltage alteration measurements become insufficient diamondbased quantum sensing has the potential to answer the need for precise diagnostics of detecting magnetic field alterations caused by chips defect but available implementations suffer from a tradeoff between speed and imaging resolutionat quantumdiamonds we overcome these challenges and developed a superresolution quantum imager sqi that combines advanced optical components with proprietary diamond production and software our system enables imaging at sub100 nm resolution and fast measurement in the range of minutes in this project we will test it with actors from the semiconductor industry and prepare our system for commercialization
single cell guided polygenic risk prediction of ascvd

atherosclerotic cardiovascular disease ascvd is the most common cause of death worldwide aside from asymptomatic manifestations the first sign of clinically significant ascvd is often a severe clinical event such as stroke or myocardial infarction thus identification of people at high risk is central to battle the deadly consequences of ascvd the usefulness of current risk prediction models such as score2 is unsatisfactory most likely since the score is built on prevalent risk factors rather than mechanistic changes occuring along the disease path especially genetic risk factors acting already early in life and diverse longitudinal exposures accumulating during the lifetime of a person lead to disturbance of gene regulatory networks which are not considered in the current risk models in addition the current models predict the combined risk of coronary and peripheral artery disease and ischemic stroke despite mounting evidence of ascvd heterogeneity to capture these missing aspects of ascvd risk we leverage the predictive ability of genetic variation provided to us by the worlds largest metaanalysis of gwas for ascvd and introduce a new disease mechanismbased stratification in work package wp 1 we will map the transcriptomic and epigenetic effects of risk variants using single cell multiomics profiling of 500 human atherosclerotic tissue samples in wp2 we infer disease associated genes genegene interactions and gene regulatory networks using an innovative crisprbased experimental approach in wp3 we will make use of the generated information to develop novel functionally informed polygenic risk models which are benchmarked against the conventional risk prediction models for predictive accuracy ultimately this information will provide us with a mechanistic understanding of the genetic basis of disease while allowing construction of new gold standard polygenic risk prediction models for prevention of ascvd events
continuous fiber manufacturing for industry

the cfm4industry project promoted by moi composites represents an industrialization and technology commercial launch project aiming to revolutionize advanced composite manufacturing through continuous fiber manufacturing cfm technology this patented novel digital additive manufacturing framework aims at complete automation in advance of continuous fiber reinforced composites production simplifying manufacturing workflows and reducing cycle and lead times by integrating robotics and nextgeneration am composite materials moi composites evolves 3d printing standards catering to functional products with significant weight reduction and marking a pivotal shift towards costeffective wasteminimized and sustainable composite production the projects primary objective is the industrialization and commercialization of cfm technology in broad applications across industries such as aerospace automotive biomedical oilgas and marine this will be achieved through a strategic framework comprising the development of tailored materials implementation of a dedicated cam path planning the refinement of the cfm printing apparatus as well as the development of the technology center for the system integration the relevance of cfm4industry is evident in its commitment to technological innovation and sustainability by eliminating the need for molds and significantly reducing material waste cfm technology aligns with the programs goals of efficient and ecofriendly manufacturing furthermore the integration of robotics and digital fabrication showcases a forwardlooking approach to advanced manufacturing the cfm4industry project represents a transformative step to revolutionize the am industry paving the way for a future of digitalized sustainable and economically efficient highperformance composite production
disability discrimination and linguistic justice a human variation perspective

humvar is a project in applied ethics and it adopts the framework of a particular disability model the human variation model hvm the goal of humvar is to advance research on the hvm and it has three objectives first to provide a philosophical defense of the hvm humvars interpretation of the hvm shows that an important aspect of disability disadvantage is caused by exclusive environments this causation story grounds societal responsibility and justifies the provision of more accommodating environments the favored policy response of social models of disability the first objective defends this interpretation against the challenge that social models of disability cannot justify the policy of environmental reconstruction humvars second objective is to redefine the problem of disability that the model articulates as a special case of discrimination discriminationashumanvariation discriminationashumanvariation is a revisionary account of the hvm as the original version of the model aims to be an alternative to discriminationbased approaches to disability this revisionary interpretation explores that disabilityashumanvariation is a form of ableism the third objective is to expand the idea of human variation to the case of linguistic diversity and justice showing that the logic of the hvm is present in other spheres of social life beyond disability humvar makes the case that minority languages are also disadvantaged by their social environment and vulnerable to discriminationashumanvariation it also examines the case of sign language through the lens of linguistic justice to find a novel answer to why changing individual impairments is problematic from a moral point of view humvars answer is that societys insistence on changing individual impairments instead of providing accommodating environments is a case of wrongful assimilation
resilient beekeeping and breeding to safeguard natural genetic resources and pollination services

beeguards aims to strengthen the resilience of the european beekeeping sector by providing sustainable management practices novel breeding strategies and digital and forecasting tools that allow the sector to adapt to a changing environment we focus on determining how abiotic factors such as management practices climate change nutrition and resource limitations drive emerging biotic stressors that threaten colony health and erode the resilience of european beekeepingbeeguards comprises multiple actors and adopts a multiactor approach from inception which has led to an open and inclusive design of the work programme as a community we will perform europeanwide field studies evaluating and validating innovative thresholdbased management and breeding strategies for resilience using hives equipped with technological measurement tools complementary detailed immunological behavioural microbiological pathological ecological investigations will elucidate the ways in which management and climate act on honey bees and other pollinators in this way beeguards will for the first time provide a truly holistic view of the mechanisms determining beekeeping resilience and implement naturebased local solutions for adaption including modelbased advisory tools for stakeholdersour open and participatory actions include development of a wikibeedia community website where we will share and promote the beeguards concepts and results including a quest for sustainable beekeeping practices ultimately beeguards will show the way for a change of perspective that is needed to achieve resilient beekeeping beeguards will mitigate the environmental impact of beekeeping in terms of impact on wild pollinators and of carbon footprint protect pollinator biodiversity ensure the future provision of pollination services and support the economic development and inclusiveness of beekeeping preparing the european apicultural sector to meet the climate challenge
wind in my backyard using holistic modelling tools to advance social awareness and engagement on large wind power installations in the eu

wind power is one of the fastestgrowing most mature and costcompetitive renewable energy technologies but its deployment faces significant challenges due to a lack of understanding of the distribution of complex positive and negative impacts and their interplay with low local acceptance wimby addresses these challenges by fostering the societal engagement of citizens and stakeholders so that wind energy gains substantially more popular support thereby enabling its role in europes decarbonisation goals to do so wimby translates the results of indepth models to assess the potential for the development of wind parks into useful and comprehensive information and tools for stakeholders facilitating decision making towards lower impact and more participative wind energy deployment to thoroughly assess locationdependent potential impacts conflicts and synergies of wind power deployment on the natural and social environment wimby combines high resolution spatially explicit technoeconomic models under multiple regulatory frameworks with models to assess environmental security and health impacts on the one hand and models to determine potential synergies in ecosystems on the other wimby follows a citizens science approach for dissemination supported through a webgis interactive forum that improves upon the content and functionality of the new european wind atlas on a community level we study four geographically climatically and socioeconomically diverse pilot cases across the eu where detailed modelling and an immersive 3d platform and a multicriteria satisfaction analysis framework are employed in workshops with stakeholders of potential projects throughout the project wimby deepens the knowledge of the drivers and barriers for social acceptance and develops guidelines to raise public understanding and engagement with wind power especially promoting the uptake of new generations of larger wind power turbines and farms
secure execution of smart contracts

smart contracts are computer programs that autonomously execute on the blockchain they have the potential to revolutionize many applications from finance insurance energy healthcare and production industries however smart contracts have become an appealing attack target since smart contracts are always online and easy to hack once a vulnerability is discovered recent attacks resulted in large losses of cryptocurrency thereby questioning the benefits of this revolutionary technology consec is the first holistic framework that will enable secure execution of smart contracts on the blockchain it takes a holistic approach by developing security mechanisms covering various stages of the blockchain ecosystem starting from smart contract development and maintenance to smart contract execution and forensic analysis a key aspect of this project is the development of the first secure smart contract compiler which detects and automatically patches smart contract bugs in the development phase an innovative update process complements the secure compiler to mitigate new and unknown attack vectors supporting developers who deployed vulnerable contracts further consec will develop a secure execution monitor to audit smart contracts while they execute on the blockchain allowing instant reaction to runtime attacks to tackle the current lack of comprehensive approaches to validate the security of already deployed contracts consec will develop new forensic dynamic analysis approaches consec establishes trust in smart contract technology enabling secure deployment and execution of smart contracts on the blockchain
scalable modular high temperature costefficient thermal energy and power storage and conversion system made of upcycled industrial byproducts

300 twh energy thats 51 billion from heat sources is wasted every year in the eu due to the lack of costefficient spacesaving and scalable storage systems heat losses equal net heat demand a dramatic waste of resources and capital industrial companies and energy producers waste excess energy because intermediate storage or conversion to electricity is not economic with kraftblock economic energy storage and conversion becomes affordable for the first time our patented storage granule is produced from 85 upcycled blast furnace slag and a selfdeveloped binding agent with this patented granule storagecapacitym is increased by a factor of 10 while the storage price per mwh is reduced by a factor of 12 the granule is part of our energy storage system which are stackable units of 60mwh enabling heattoheat heattopower powertoheat and powertopower operations in the steel glass ceramics metal cement food and paper industry
building excellence in the study of galaxies and cosmology at the university of tartu

the current era of large astronomical surveys and simulations produces massive amounts of new data when combined with new analytical frameworks it will allow for statistical inference to tackle many unsolved questions such as the role of the cosmic web in the formation and evolution of galaxies the current observations show the environment of galaxies plays a major role in the star formation quenching mass assembly and even the orientation of the galaxies in the cosmic web filaments to succeed in studies like this requires combining knowledge and experience in observations cosmological simulations cosmic web theory and applied mathematics this proposal aims to strengthen the research capacity of the university of tartu utartu in these subjects the advanced partners of the project are internationally renowned experts in hydrodynamical simulations cosmic web theory cosmic web finders and applied geometric and spatial analysis thanks to the knowledge transfer from advanced partners this project will provide utartu with the required expertise to actively participate in the nextgeneration galaxy evolution surveys that allow mapping of the cosmic web in unprecedented detail in collaboration with the partners an improved method for cosmic web modelling will be developed that builds on the experience of the bisous model developed in utartu and other cosmic web finders that the partners have developed disperse nexus vweb this new galaxyweb model aims to simultaneously detect the groups and filaments directly from the observed redshifts of galaxies and work efficiently with significantly higher target densities and the nontrivial selection functions of the nextgeneration surveys this twinning proposal will help ensure longterm mutually beneficial collaboration between the four project partners raise the international visibility and attractiveness of utartu and contribute to the cosmic web studies and understanding of galaxy evolution