Dragon09/odtu_chatbot huggingface dataset:
turning cities planning actions for positive energy districts into success

tips4ped will design develop and test in a relevant environment the effectiveness and the technoeconomic viability of a digital twin based platform to support municipalities in the implementation of positive energy districts the tips4ped platform will be able to support municipalities in the decisionmaking delivering a series of evidencebased results increasing the environmental sustainability of cities and reducing operational costs the project will adopt a peoplecentric approach which aims at engage train and empower citizens and potential stakeholders tips4ped will do this by leveraging on consortium knowledge and prior eu experience and being motivated by the goals set forth by the european commission to design and manage the ped effectively and foster its implementation through city planning actions different modules will be made available on the integrated assessment platform to support municipalities from the technical perspective as well as the social financial regulatory and administrative ones the tools will be developed thanks to a endusers codesign approach capable of providing constant feedback to the software development process the tips4ped solutions will be tested in one lighthouse city turin where the iap will be connected to a sensoring system for the realtime management of the assets and replication studies will be conducted in three follower cities cork kozani and budapest the testing and replication phase willl result in the creation of 4 cities digital twins and decarbonization roadmaps tips4ped seeks to suggest scalable and easily reproducible technologies and digital optimization as a key solution for to achieve 2030 eu goals while taking into consideration various market circumstances and environmental safety and regulatory aspects
integrating bioinspired assembly into semiconductor manufacturing technology for biosensors

biointelligent manufacturing processes for multiplex mems biosensors
musical metaverse made in europe an innovation lab for musicians and audiences of the future

the grand challenge of this project is to create the basis for a paradigm shift in the way music is performed and experienced by leveraging the new creative possibilities offered by the emerging musical metaverse the consortium aims to achieve this ambitious challenge by means of i a sociocognitive breakthrough by gaining a deep understanding of the emerging needs and concerns of contemporary musicians and audiences via collaborative design activities and neurophysiological measurements ii a technological breakthrough by developing radically novel concert platforms and devices that can exchange information among each other via ultrareliable lowlatency wireless networks with privacy and security constraints iii a musical breakthrough by creating novel concert formats that exploit the technological and sociocognitive breakthroughs this project uses an interdisciplinary methodology that combines humancomputer interaction engineering cognition and music drawing from the scientific excellence of the partners industrial partners will provide knowhow for proof of concept prototypes through this disruptive approach the project will provide a pipeline to the technological development of a new class of musical interfaces and musical metaverse ecosystems whose features will go substantially beyond current systems the proposed approach aspires to effect a stepchange in the design of musical interfaces and systems to musically interact online resulting in a potentially high economic impact on the music industry the envisioned technological advancements for the musical domain will provide key solutions for true realtime collaborative activities in the metaverse in general the project involves theoretical and experimental aspects and is a highimpact endeavour from which basic science eu industry and society can benefit
harmonisation and monitoring platform for certification schemes and labels to advance the sustainability of biobased systems

the harmonitor project will improve the effectiveness of certification schemes and labels csls in different sectors of the eu bioeconomy and therewith strengthen their use as a coregulation instrument effective and robust csls can cope with some of the difficulties that public regulation faces and fill in policy gaps the harmonitor project will also establish and test a participative review platform concept that allows csls to find commonalities and cooperation when operating in biobased value chains within and across eu borders this platform is based on the innovative sustainability certification tools proposed by the horizon 2020 project starprobio to promote continuous improvement of csls and continuous knowledge of these dynamic developments by market actors the specific objectives of the harmonitor project are1 to establish a review platform to capture the dynamic development of csls and encourage their harmonisation and continuous improvement through the exchange of information and promotion of best practices2 to provide quantitative transparent data on biobased value chains through analysis and dissemination of trade flows certified and noncertified and quantification of direct and indirect costs and benefits of certification3 to review and compare performance requirements and assurance and governance systems of csls4 to develop and apply a monitoring system on the effectiveness and robustness of csls5 to improve the understanding of the opportunities and limitations of using csls in coregulationthe harmonitor approach aims to achieve the following outcomes enhanced transparency and traceability of environmental impacts along value chains through improved csls higher levels of effectiveness and robustness of csls through systematic monitoring increased awareness of trade flows and their impacts possible use of csls as a coregulation instrument as part of the eu bioeconomy policy framework
sustainable waterinjecting turbofan comprising hybridelectrics

switch aims to answer the challenge of climateneutral shortmedium range air transport by developing a revolutionary sustainable gas turbine propulsion system the hybrid waterenhanced turbofan hybrid wet it boosts wet technology with hybridization electrical aircraft propulsion eap to improve energy efficiency by 25 and reduce climate impact by 75 using net zeroco2 sustainable aviation fuel 50 with conventional jeta kerosene compared to a stateoftheart engine it is the only concept to significantly reduce all three major warming effects on our climate co2 through unmatched efficiency nox through water injection in the combustor and contrails through particle removal and water recovery local air quality and noise levels around airports are improved through electric taxiing the hybrid wet is fully compatible with dropin saf and could also be adapted to burn hydrogen it addresses all climatenotable market segments short medium and longrangethe switch project will meet this challenge with a global consortium through an unprecedented programmatic effort between airframer engine and system oems key tier 1 suppliers and leading researchers in combustion and propulsion leveraging relevant and effective synergies between european and national programsswitch will mature the hybrid wets two key innovation concepts by 2025 the wet engine to technology readiness level trl 4 through validation of its key enabling technologies and the eap system to trl 5 through flightready engine ground demonstration of the full propulsion systemresults from switch will reinforce confidence in the climate reduction potential of the hybrid wet propulsion system and form the technological foundation to achieve trl 6 by 2030 this will enable the innovation to enter into the market by 2035 on a new shortmedium range aircraft to significantly reduce aviations climate impact towards the european green deals goal of climate neutrality by 2050
international clinical validation of radiomics artificial intelligence for breast cancer treatment planning

breast cancer is now the most common cancer worldwide surpassing lung cancer in 2020 for the first time it is responsible for almost 30 of all cancers in women and current trends show its increasing incidence neoadjuvant chemotherapy nac has shown promise in reducing mortality for advanced cases but the therapy is associated with a high rate of overtreatment as well as with significant side effects for the patients for predicting nac respondents and improving patient selection artificial intelligence ai approaches based on radiomics have shown promising preclinical evidence but existing studies have mostly focused on evaluating model accuracy alltoooften in homogeneous populationsradioval is the first multicentre multicontinental and multifaceted clinical validation of radiomicsdriven estimation of nac response in breast cancer the project builds on the repositories tools and results of five eufunded projects from the ai for health imaging ai4hi network including a large multicentre cancer imaging dataset on nac treatment in breast cancer to test applicability as well as transferability the validation with take place in eight clinical centres from three highincome eu countries sweden austria spain two emerging eu countries poland croatia and three countries from south america argentina north africa egypt and eurasia turkey radioval will develop a comprehensive and standardised methodological framework for multifaceted radiomics evaluation based on the futureai guidelines to assess fairness universality traceability usability robustness and explainability furthermore the project will introduce new tools to enable transparent and continuous evaluation and monitoring of the radiomics tools over time the radioval study will be implemented through a multistakeholder approach taking into account clinical and healthcare needs as well as socioethical and regulatory requirements from day one
early buildup of ringed planetforming disks

with one planet per star on average planet formation must be a robust process yet surprisingly we still do not fully understand how planet formation works current models for planet formation usually assume preexisting smooth disks and homogeneously distributed planetesimals of arbitrary composition in contrast recent results highlight the crucial role of early stage disk substructure inhomogeneous accretion and carbon depletion processes on the final planetary systems until now adequate techniques to model these dynamic complex systems in a computationally costefficient way were lackingthe overall aim of earlybird is therefore to overcome this bottleneck and track the planetbuilding material and its composition through the initial formation of disks into the populations of planetesimals and planets and to reveal in which ways these processes are observable in older disks and exoplanets the project concretely will 1 determine the global effects of streamerssustained infall on early evolution of disks and planet formation 2 study how outbursts and dust evolution interact and determine the effect of high dusttogas ratio infall on planetesimal formation 3 track compositonal changes eg carbon co water during planet formation and 4 decipher the observable properties all these scenarios imprint in the distribution and composition of small dust planetesimals and planetsbased on my pioneering work on disk particle growth and transport earlybird will utilize highly innovative 3d modeling techniques which are unique in being calibrated against full coagulation models and still are two magnitudes faster than a full solver the project will thereby not only enable me to fully exploit the information imprinted by the disk formation stages on planet formation but also pave the way for costefficient 3dmodeling of dynamic systems in neighboring fields
identifying the fastacting antidepressant signatures of treatment response with psychedelic compounds using a novel behavioral tracking system and singlecell resolution

mental health disorders affect 84 million people across europe and are associated with an economic burden of 600 billionyear new evidence from clinical trials suggests that a single treatment with psychedelic compounds such as psilocybin can produce a fast hours and sustained months antidepressant ad response however many questions still remain about its mechanism of action due to methodological challenges such as lack of knowledge of the brain cells and circuits where ad effects are taking place and limitations of the behavioral tests used to examine ad activity in rodents combining molecular behavioral and advanced computational tools faster will establish a groundbreaking and automatic behavioral tracking system to deconstruct the behavioral language associated with treatment response in addition faster will identify the brain cells and circuits responsible for the fastacting and sustained ad effects of psilocybin this is a move away from the traditional assessment of single behavioral readouts to unconventional group behaviors and endophenotypes in a translationallyrelevant context that will cause a paradigm shift and revolutionize the field of behavioral phenotyping thanks to my unique knowhow in bridging human and preclinical psychiatry and to go beyond the stateoftheart i will combine activitydependent labelling techniques and singlecell methods to identify the genes and brain circuits engaged during psilocybin treatment to address the multidimensional nature of psychiatric disorders i will manipulate gene networks related to the ad effects of psilocybin the ambitious and innovative studies proposed here have the potential to change our understanding of psychiatric disorders and transform the field of behavioral neuroscience ultimately faster holds tremendous promise for translatability of preclinical findings and impacting the development of fastacting and efficacious treatments for psychiatric disorders
harmonising and unifying blood metabolomic analysis networks

metabolomics provides a realtime view of the metabolic state of the examined samples the past decade the field showed strong growth however limitations intrinsic to the field hinder further application in epidemiology level key obstacles include variety of analyte molecular structures slow marker identification large differences in concentrations poor validation incomplete combination of data from different analyses and fragmentation of research the consortium brings together scientists from different complementary disciplines and sectors to collaborate and set a research training network combining infrastructure experience knowledge and skills the research scope is to identify the source of problems that hinder development and recommend measures to overcome these training throughresearch will promote a new generation of omics researchers networking joining forces via secondments will enhance research productivity transfer of knowledge the project will train 10 esrs in workpackages aiming toward improvement of design of experiment harmonization of analytical methods improved data mining and biochemical pathway analysis and translational research application will be in the study of blood metabolome of exhaustive physical exercise we aim to study sample stability preparation including blood and alternative forms such as dried blood spots biomarker identification exploitation of multiple datasets promote standard procedures develop robust pipelines develop and implement machine searchable notations of metadata central database for data storage compare datasets automate crosslaboratory data combination develop novel algorithms for multidimensional data mining and reconstruct biochemical pathways the overall goal is to train the esrs in cutting edge metabolomics research and at the same time provide proof of concept of democratizing metabolomics by the use of patient centric sampling
ai for citizen intelligent coaching against disinformation

titan delivers an open distributed and citizen engaging ecosystem which empowers the citizen itself to conduct effective and efficient investigations for understanding whether statements at hand are true empowerment is achieved by means of intelligent coaching on the process of investigation aidriven intuitive and personalised questionandresponse interaction will set the attention of the investigating citizen on the logical interpretation and critical assessment of the implied reasoning and arguments in the statement at hand while directing the citizen in the appropriate use of suitable factchecking and media literacy tools and services by being part of the titan ecosystem the citizen is intelligently coached on how to conduct effective investigations either on hisher own or in collaboration with other concerned citizens intelligent coaching conversational schemes are personalised according to the investigating citizens profile digital skills media literacy skills possible difficulties in thinking critically as well as the linguistic characteristics of the statement under investigation at the end of such an questionandresponse interaction cycle the citizen will have hisher critical thinking and media literacy skills advanced so as to better detect disinformation heshe may encounter in the future at scale the titan ecosystem will be developed following a humancentered approach which will engage diverse groups of citizens in productive cocreation sessions at all project implementation phases
greenpaths european knowledge hub on just transition pathways

greenpaths addresses the complex and multidimensional nature of the planned transition based on an enhanced understanding of key issues and challenges influencing the transitions and an indepth review and synthesis of the latest and most relevant research greenpaths will enable the development and adoption of more coherent and effective policy strategies and instruments furthering the positive outcomes and reducing the negative impacts on environmental sustainability and social wellbeing to improve the design governance and implementation of transition strategies greenpaths pays particular attention to the european green deal the fit for 55 package and the actions funded by the just transition fund and the european social fund key objectives include 1 mapping and explaining links between policies environmental sustainability and social wellbeing 2 identify and assess indicators and tools to analyse interactions between climate interdependencies environmental sustainability and social wellbeing 3 develop systemic indepth and innovative understandings of green transition policies and approaches visvis social impacts and tradeoffs 4 offer new insights into the relevance and significance of institutional regulatory and legal frameworks affecting the green transitions 5 produce policy recommendations for desirable changes in european and national policies through a multistakeholder backcasting approach and the participatory design of lighthouse projects and facilitate an enhanced civil societystakeholderpolicy dialogue on green transition pathways these objectives will be achieved by the well positioned consortium with long experience on the topic through a comprehensive mixedmethods approach to be tested and grounded in a series of case studies which lead into a more participatory and influential engagement with policymakers civil society organisations and other relevant stakeholders
urban data spaces for green deal

usage urban data space for green deal aims to provide solutions and mechanisms for making citylevel environmental and climate data available to everyone based on fair principles usage will support the implementation of the european strategy for data and various european green deal priority actions at the level where climate change is mostly felt cities and townsusage will provide innovative governance mechanisms consolidated arrangements aibased tools and data analytics to share access and use citylevel data from earth observation eo internet of things iot authoritative and crowd sources leveraging on standards for data and service interoperabilityusage wants to become a decentralized infrastructure for trustworthy data collection processing and exchange based on commonly agreed principles facilitating the combination of heterogeneous data for policy analysisusage will validate its solutions in four diverse pilot areas located in four different countries focusing also on the reusability of the solutions in other urban areasthe consortium consists of 11 interdisciplinary partners from 5 european countries and within the 3 years of activities will also realize a longterm sustainability and growth strategy plan of project solutions
the firstever maskbased technology for faster precise and sustainable printing of 3d interconnects for the display and semiconductor packaging industry

at fonontech our vision is to pioneer a transformative and sustainable era in semiconductor packaging industry through our proprietary cuttingedge technology impulse printing originating from extensive research and development at the dutch leading applied research institute tno the impulse printing technology has the unprecedented scalability accuracy and throughput for both 2d and 3d interconnect printing for the billiondollar semiconductor and microled packaging industry the technology can attain feature sizes ranging from 10 m to 100 m in 3d with the highest throughput and lowest cost of ownership providing major competitive edge particularly in the critical lower feature range essential for enabling product miniaturization impulse printing distinguished by minimal cost of ownership and facility footprint is safeguarded by 14 patents it is slated for direct sales to highvolume electronic device manufacturers or through system integrators securing the company a revenue of 533 m by 2030
selfx artificial intelligence for european process industry digital transformation

the overall objective of sxaipi is to research develop test and experiment an innovative toolset of custom trustworthy selfx ai technologies autonomous ai that minimizes human involvement in the loop an exhibit selfimproving abilities ai applications will help workers to deal with external and internal influences and enable agile and resilient reaction of european process industry processes and products lifecycle for a true integration into the circular manufacturing economy ecosystemthe aim is to provide existing process industries and its workers with agility of operation improvement of performance across different indicators and state of the art aibased sustainability tools for the design development engineering operation and monitoring of their plants products and value chainsdemonstration at four representative industrial use cases asphalt steel aluminium and pharmaceutics will generate a showcase portfolio of trustworthy ai technologies data sets ai model and applications integrated into an innovative open source toolset available for industry and research as an example of selfx ai technologies integrated in actual process industries value chainssxaipi toolset of ai technologies will include an innovative ai data pipeline with autonomic computing capabilities selfx ai and autonomic manager architecture realistic datasets together with their respective algorithms derived from the demonstration in four realistic use cases of process industry sxaipi technologies will consider workers heterogeneous skill levels and selfadaptation capabilities to the actual profile of the worker respecting their humanintheloop rolesxaipi will be performed by an interdisciplinary consortium ai integration and big data analytics use case process understanding modelling and digital platforms research industry sme 4 companies 1 industrial communication exploitation standardisation