Dragon09/odtu_chatbot huggingface dataset:
chemical speciation of a revolution in art history

a revolution in art happened in the 15th century the transition from tempera to oil painting in italy marked the beginning of the great period of renaissance art and the creation of some of the most revered masterpieces of all time sandro botticelli domenico ghirlandaio leonardo da vinci are examples of artists who were shifting away from the use of predominantly eggbased tempera to the use of oil but how did this transition occur the simplistic assumption that pigments were solely either mixed with egg or oilbased binding media has been rejected artists continued to use egg in parallel or in combination with oil and prepared paints and binding media of complex chemistry which is still not understood today the overarching goal of ariah a revolution in art history is to discover the atomic and molecularlevel chemical composition of mixed media paint layers oilprotein mixtures in original renaissance artefacts and map the distribution of their constituents at the nanoscale to understand the revolution of painting techniques in renaissance italy the project will tackle this challenge by introducing for the first time highresolution xray raman scattering xrs 2d and 3d xrs chemical speciation imaging and scanning transmission xray microscopy in combination with mass spectrometry of painting samples we will establish an analytical protocol based on the techniques which will be released to the scientific community to serve as a benchmark for the molecular and atomiclevel understanding of artworks atomic and molecular data will contribute to the most ambitious objective of understanding the materiality and the technology of the transition from egg to oil in renaissance italy results of this interdisciplinary research will be widely disseminated within the art history chemical science and physical science communities by following an open access policy
truly sustainable printed electronicsbased iot combining optical and radio wireless technologies

superiot aims at developing a truly sustainable and highly flexible iot system based on the use of optical and radio communications and the exploitation of printed electronics technology for the implementation of sustainable iot nodes the dualmode opticalradio approach provides unique characteristics to the iot system the system can be reconfigured to use optical radio or both connectivity approaches the hybrid opticalradio system allows very efficient use of resources while combining the advantages of both wireless communication methods energy autonomous nodes can harvest energy from both sources resulting in an efficient and reliable energy system positioning accuracy can be also improved by combining optical and radio signals moreover the dualmode approach results in a highly flexible and adaptable communication system that can operate efficiently under changing conditions and in different scenarios the implementation of the iot nodes will aim at maximizing printed electronics usage resulting in a costefficient environmentally friendly solution nodes will have essential iot functionalities such as sensing actuating and computational capabilities as important as the development of a sustainable and flexible iot node will be the development of its networking capabilities the project will also identify develop and demonstrate applications for the proposed concept four demonstrators will be developed at the final stage of the project including a reconfigurable opticalradio iot node implemented with printed and conventional electronics technologies application smart tags b reconfigurable opticalradio iot network application logistics in medical ict scenarios c limited capability iot node implemented with printed electronics technology only and d largearea iot noderepeater the superiot concept is based on developing an iot system that is both sustainable by design and sustainable by implementation
building universal quantum computers with selfcorrecting catqubit technology

quantum computers could completely revolutionise the world a successful quantum computer could perform simulations that would take billions of years on the most powerful supercomputer in a matter of minutes but first there is a critical challenge to overcome current quantum computers are errorprone and incapable of executing complex algorithms reliably eliminating these quantum errors is the main challenge in quantum computing we have invented a new type of selfcorrecting quantum hardwarethe schrdinger cat quantum bits qubits using selfcorrection we will be able to build the worlds first faulttolerant commercial quantum computers a decade earlier than our competitors quantum computing is a technology of the highest strategic importance today american tech giants are ahead but who will lead the quantum revolution is not decided yet with selfcorrecting cat qubits we can take the lead and ensure the next generation of information technologies are european
integrated services for infectious disease outbreak research

the isidore consortium made of the capacities of european esfri infrastructures and coordinated networks proposes to assemble the largest and most diverse research and service providing instrument to study infectious diseases in europe from structural biology to clinical trials giving scientists access to the whole extent of our state of the art facilities cutting edge services advanced equipment and expertise in an integrated way and with a common goal will enable or accelerate the generation of new knowledge and intervention tools to ultimately help control sars cov 2 in particular and epidemic prone pathogens in general while avoiding fragmentation and duplication among european initiatives such a global and interdisciplinary approach is meant to allow the implementation of user projects that are larger more ambitious and more impactful than the eu supported transnational activities that the consortium is used to run our proposition is ambitious but achievable in a timely fashion due to the relevance and previous experience of the partners that we have gathered and that have complementary fields of expertise which addresses the need for an interdisciplinary effort leveraging all these existing strengths to develop synergies will create an additional value and enhance europe capacity for controlling emerging or re emerging and epidemic infectious diseases starting with the covid 19 pandemic such a global and coordinated approach is consistent with the recommendations of the one health concept and necessary to make significant contributions to solving complex societal problems like epidemics and pandemics
industrialised and personalised renovation for sustainable societies

inperso is a holistic deep renovation programme addressing the buildings entire lifecycle and combining industrialisation and personalisation the project will deliver inclusive affordable efficient and sustainable renovation adaptable to various climate zones and building typologies but focused on residential and heritage buildingsaiming to deliver a nearmarket solution inperso is comprised of five highly exploitable integrated results irs plus an underlying humancentric methodology for lowcarbon renovation new technological components leveraging the advantages of prefabrication preintegration and robotic 3d printing will drastically reduce the time 50 and costs 25 of construction and increase resource efficiency productivity and quality coupled with waste reduction 40the project highlights the advantages of digital solutions by integrating scantobim ai ar and ml into the established re suite platform creating a solid foundation for harmonising information flows and addressing the fragmentation challenges of the sector these resources will also be used to optimise building energy performance and indoor environment quality as well as improving the energy footprint of the renovation process in addition to improving working conditions and safetyinperso will be demonstrated in spain netherlands and greece forming energy communities and promoting sustainable energy use ambitious upscaling and replication plans supported by green financing and six business models will be implemented to generate local and euwide impactsthe consortium consists of 8 research organisations 8 smes 2 large enterprises and 3 npos privately investing 47m in the project
symbolic artificial intelligence for hidden topological orders in quantum physics

artificial intelligence ai offers novel methodologies to unravel complex physical phenomena however most machine learning models lack transparency in their decisionmaking processes in this proposal we aim to develop a symbolic ai as a tool to reveal hidden topological orders in quantum physics to this end an aiassisted symbolic regression method will be studied we focus on three main objectives i machine learning topological phases with experimental data ii uncovering hidden nonlocal symmetryprotected topological orders and iii searching for quantized topological invariants in an unsupervised fashion the interplay between symbolic ai and quantum physics is envisioned to bring new insights into topological phases moreover the project will scrutinize the explainability and the robustness of machine learning models the investigations will provide concrete guidelines for accompanying theoretical and experimental studies at magtop the outcomes of the project will pave the way to discover novel features of topological materials in a reliable and explainable way as well as provide great opportunities for me to reach a position of professional excellence and independence
towards a widespread hvdcbased power system enabled by new highly efficient cable fibre optic monitoring systems

towards a dominant renewable energy generation scenario in the eu it is key to modernise transmission systems for an efficient transport of the energy produced the deployment of hvdc systems plays a crucial role in enabling electricity transmission over long distances with minimal losses there is the need to bring new cable technologies that can increase the life cycle of future hvdc systems and longer reach more precise easy to install sensorbased technologies to analyse cable status and locate potential faultseasydcfos project will commit to demonstrating a new generation of hv cable systems with optimised energy transport capability and longer life period due to the use of an alternative xlpe insulation material paired with the development of a series of smart tools for monitoring ageing and efficient fault detection in transmission networks and reaching a trl5 by the involvement of 3 demonstrators 1 test bench and 2 realworld use cases in different eu countries this will be achieved by the 1 optimisation of insulation materials for hvdc cables with operating temperature over 90c 2 development of predictive models of physics and ageing behaviour of new cable system in response to thermal acoustic and electric field stress stimulus 3 prototyping of a set of fibrebased dts das point vibration and pd monitoring systems for longdistance cable corridors and 4 integration into a cybersecure edge infrastructure that will allow realtime monitoring of cable conditions as well as immediate response from tsos satisfying the kpis in terms of system efficiency and stability lifetime and thermal capacity assessment and the accuracy of the sensorsfor that purpose easydcfos is bringing together a wide experienced consortium led by lmk involving leading industrial technology developers of cables systems a cable oem academic institutions two tsos a key sector association and sustainability and management experts at european level
meta analyses of heterogeneous omics data

meta analyses of heterogeneous omics data mahod will establish a framework in which data available in online repositories from previously performed omics studies ie metabolomics for analyses of small molecule metabolites in biofluids proteomics for similar studies of proteins etc will be analysed simultaneously using highly interpretable machine learning tools these tools will reconcile differences in experimental design demographic compositions and modality samples and variables that are not directly comparable the ultimate goal of this research will be enable new insight into disease states and measure the statistical power based on the wealth of information and replicate samples available online this will information will be exploitable by researchers in academia and industry and will benefit the european research community by making better use of the data currently available for critical projects and enable new research directions into diseases that are either poorly treatable or understoodthe framework will be evaluated by an analysis of existing data on a rare disease narcolepsy and a much more common disease long covid to ensure that the technology scales from a relatively low volume of information to a much more challenging big data problem this proposal will be carried out by an experienced researcher er who completed their phd in chemometrics or the application of multivariate statistics and machine learning to chemical data the er is in a relatively unique position to bridge the gap between their knowledge of information and computer science and domain knowledge related to the instrumentation required to perform omics studies the er will be supervised by a computer scientist who is an expert in the field of multivariate analysis and algorithm design
geometric finite element methods

partial differential equations pdes describe important models in science and engineering many of these pdebased models encode fundamental geometric and topological principles for general relativity gravity is described as the curvature of spacetime governed by the einstein equations for materials defects and microstructures can be modelled as geometric quantities such as curvature since controlled experiments and analytical solutions are only available in very special cases it is essential to simulate these equations on computers despite significant progress in the past decades cuttingedge applications still call for reliable numerical methods in numerical relativity codes may break down or significantly lose precision in long term simulation of black holes due to the violation of geometric constraints for continuum with microstructures convergence may degenerate as multiple length scales are present the common challenge behind these examples is to find an intrinsic way to discretise highorder tensors in geometry with certain symmetriesmy research will address the fundamental problem of discretising highorder tensors by bringing together geometry algebra pdes and numerical analysis i will develop an algebraic framework and a systematic construction of tensorial finite elements with symmetries by clarifying mathematical structures at both continuous and discrete levels i will investigate reliable methods for discretising the einstein equations and continuum models with microstructures the new framework will also inspire the development offundamental concepts and models and establish novel connections between numerical schemes discrete geometry measurevalued solutions of pdes and discrete physics eg quantum gravity and lattice gauge theory
nanotechnology enabled repositioning of cannabinoids for treating nafld

obesity is a catalyst for numerous conditions the most notable is nonalcoholic fatty liver disease nafld for which currently no drug therapy has been approved by the fda and ema for its treatment the endocannabinoid ecb system triggers the development of obesity and its related comorbidities specifically nafld ecbs via activating the cannabinoid1 receptors cb1rs in the liver increase hepatic glucose production insulin resistance and de novo lipogenesis and decrease fatty acid oxidation accordingly globallyacting cb1r blockers improve these parameters both in rodents and humans however owing to their neuropsychiatric side effects they were withdrawn from the market and are no longer available for clinical use nanofld aims to revive their clinical development and testing by utilizing an innovative nanometric drug delivery system for the hepatic targeting of globallyacting cb1r blockers for treating nafld in the framework of my ercstg grant cananobinoids my team successfully encapsulated the firstinclass cb1r blocker rimonabant in nanoparticles nps tested their stability efficacy and potency and demonstrated their therapeutic potential in ameliorating nafld insulin resistance and dyslipidemia in mice to further translate our findings into clinical practice the present poc application builds on and expands this avenue of research by achieving several necessary steps including biodistribution hepatic cellular fate and pk studies of our novel nanometric drug delivery system importantly we have secured the ip conducted a specific market assessment targeted regulatory constraints implemented a business development plan consulted with professionals in the field and developed contacts with industry when this project is completed we expect to have introduced a unique innovation to treat nafld and its metabolic abnormalities further promoting the idea to clinically test cb1r blockers encapsulated in nps against nafld
the enforcement of eu competition law in the pharmaceutical sector before during and after a health crisis learning from the covid19 pandemic

comphacrisis will be carried out in line with the pharmaceutical strategy for europe under the supervision of professor imelda maher at university college dublin ucd the main question of the research is what are the significant differences between normal crisis and postcrisis eu competition law and policy in the pharmaceutical sector analysing the normal enforcement of competition law evaluating the crisis enforcement of competition law exploring the significant consequences of the crisis policies in the postpandemic law and designing an effective health crisis competition law framework are specific objectives of compahcrisis the european union competition law enforcement and three member states germany italy and ireland will be reviewed in comphacrisis to conduct the project both the semistructured interview method and doctrinal method will be used comphacrisis leads to significant improvement of my scientific profile better networking with the research and industrial community through interviews workshops seminars and conferences and helps me gain different skills such as project management skills qualitative and quantitative skills mentoring grant writing interview and analytical skills i will also take some courses in econometrics methods and health policy i will be able to submit papers in english to leading international competition law journals and learn new research methods and teaching skills from my supervisorthe results of comphacrisis will be published in prestigious journals and i will present my research at wellknown and international conferences we will also organise two specialised workshops in ucd using social media and social networking tools to present the work is among the comphacrisis communication activities comphacrisis will lead to a new approach in understanding the importance of competition law in the pharmaceutical sector during and after a crisis and influence european policymakers and legislators
the evolution of visual information encoding

language leaves no trace in the fossil record however an important component of the human language capacity symbolic combinatoriality might have fossilized after all in the paleolithic hominins have embarked on their journey from africa into the rest of the world on their way they have left artefacts which provide a window into their mind some of these bear early examples of visual information encoding geometric signs in the middle paleolithic when homo neanderthalensis roamed the landscape evidence for geometric signs is scarce it is not before the middle stone age in africa typically associated with homo sapiens that the first systematic industries emerge by the time homo sapiens arrives in central europe in the upper paleolithic the practice of using stones beads bone fragments and figurines as information carriers has become part of everyday life in fact the abundance of geometric signs in these assemblages is only gradually coming to light via largescale collection efforts this project proposes to marry the growing body of archaeological data with stateoftheart tools from empirical linguistics to assess the evolution of visual information encoding evine in the human lineage to this end statistical measures based on information theory quantitative linguistic laws as well as classification algorithms need to be developed and applied to sequences of paleolithic signs ancient writing and modern writing two core hypotheses are to be tested first paleolithic signs are statistically distinct from ancient and modern writing second there was a combinatorial transition in the upper paleolithic of around 35 000 to 15 000 years ago if the latter is verified we would witness a major step towards modern visual information encoding 10 000 years before the advent of ancient writing
preventing explosions resolved measurement of turbulent flow electrification

please research electrostatic charging pleaded the rd leader of a major chemical company while other ignition sources for explosions can be detected seen or smelled electrostatic charge appears unexpectedly whenever liquids or solids flow responding to the urgent need for reliable detection of electrostatic charge we propose advancing the mefix flow charge measurement system a groundbreaking innovation from the erc project powfect to the proofofconcept stagemefix represents a paradigm shift in safety management offering the worlds first system capable of measuring turbulent flow charge in situ and with spatial resolution leveraging advanced machine learning techniques mefix identifies hidden ignition sources providing early warnings against dangerous increases in electrostatic charge during liquid or powder transport processes the primary technical objective of this poc is to transition mefix from a laboratory experiment to a functional prototype we will validate its technical feasibility under realworld operating conditions and develop a compact automated costeffective prototype deviceour business development activities will assess the projects commercial viability supported by secured patents and engagement with european and international stakeholders to attract customers and investors we will showcase mefix at trade fairs and establish a comprehensive roadmap for its future commercialization guided by an advisory board comprising multidisciplinary experts we aim to bridge the gap between scientific excellence and commercial success foster safe workplaces and contribute to a prosperous societygiven the immense value of industrial plants it is highly profitable for companies to invest in mefix with quantifiable benefits regarding safety enhancement economic savings and potential lives saved mefix promises to revolutionize industrial safety protocols ensuring a safer and more secure future for all