Dragon09/odtu_chatbot huggingface dataset:
heterogeneous semantic data integration for the gutbrain interplay

hereditary aims to significantly transform the way we approach disease detection prepare treatment response and explore medical knowledge by building a robust interoperable trustworthy and secure framework that integrates multimodal health data including genetic data while ensuring compliance with crossnational privacypreserving policies the hereditary framework comprises five interconnected layers from federated data processing and semantic data integration to visual interaction by utilizing advanced federated analytics and learning workflows we aim to identify new risk factors and treatment responses focusing as exploratory use cases on neurodegenerative and gut microbiome related disorders hereditary is harmonizing and linking various sources of clinical genomic and environmental data on a large scale this enables clinicians researchers and policymakers to understand these diseases better and develop more effective treatment strategies hereditary adheres to the citizen science paradigm to ensure that patients and the public have a primary role in guiding scientific and medical research while maintaining full control of their data our goal is to change the way we approach healthcare by unlocking insights that were previously impossible to obtain
developing humour literacy analysing production content and reception of humour to bring positive change in the public sphere

the goal of the project is to find out how humour literacy can be used to reframe the conflicts and controversial issues in the public sphere and bring benefit to european society by promoting dialogue rather than conflict humour literacy is understood to be an ability to decipher the signs references and messages that humorous discourse evokes and an awareness of the benefits and risks of presenting these messages in humorous form to different audiences public and private such as a risk of humour failure humour scandal or discriminatory humour humour literacy has not been systematically and crossculturally studied before we plan to fill this gap by employing a comprehensive analysis of humour on all levels of the communication process production content and reception which corresponds to the three ri work packages of the project we want to reach our goal by conducting interviews with humour producers artists standup comedians cartoonists collecting and analysing humorous content as well distributing questionnaires and conducting focus group discussions with humour recipients eg visitors of humour or cartoon museums the staff exchange between 23 partner institutions 15 academic and 8 nonacademic ones from 11 eu and 3 noneu countries over the period of 48 months it will be organized in such a way as to create synergy by combining the professional and culturespecific expertise of the academic project participants who represent diverse fields of study including linguistics folkloristics sociology critical literacy second language teaching political communication and computational analysis with that of practitioners this will ensure the knowledge exchange between academic and nonacademic partners as well between eu and noneu partners the project results will be disseminated among academic and nonacademic institutions with the specific focus on educational activities which aim at promoting humour literacy
lightdriven surface shaping for holographic optical elements

diffractive optical elements are the key technology for augmented and virtual reality ar vr displays they are typically fabricated using nanoimprint lithography and reactive ion etching which do not allow for reconfiguration of the structures we present a novel solution for fabrication of diffractive optical elements using feedbackcontrolled lightinduced submicrometre scale surface shaping of azobenzenecontaining films the method allows for facile creation of complex surface relief patterns with continuously varying heights and reconfigurable patterns which are difficult to create using conventional lithography tools
at the roots of motor intentions

research in cognitive science has revealed that intentions become visible in the surface flow of agents motion an example is that humans adopt different kinematics when reaching for an object to either displace it ie individual intentions or interact with a partner ie social intentions this phenomenon has been shown in humans and other animal species but no studies have investigated whether it extends to the green kingdom roomors aims at investigating for the first time motor intentions in plants it capitalizes on recent findings of my research group that make this a timely and tractable issue by focusing on the kinematic signatures characterizing the movement of climbing plants we observed that plants can program their movement in advance and they move the tendrils according to the specific characteristics of the tobegrasped support this result reverts the general consensus that plants movement is only driven by causeeffect mechanisms and hardwired reflexes and gives rise to a number of questions that only a few years ago might have considered absurd to what extent plant can intentionally plan a movement is plant movement finetuned according to the motor intentions exhibited by the surrounding plantsroomors will answer these questions by blending experimental psychology techniques to study intentional actions ie kinematics with plant physiomolecular approaches to identify the mostly unknown signalling pathways at the basis of the implementation and the decoding of motor intentions by plantsroomors will open a new path in psychological research that is more than about scientific discovery it is about revolution that will compel us to see the green kingdom through a completely new lens so open your mind set aside your biases and be prepared to welcome plants in the domain of comparative psychology for going at the roots of intentions
management of avian influenza in a vaccination context

while outbreaks of highly pathogenic avian influenza viruses hpaiv in europe used to be rare and geographically contained the situation has dramatically changed in the last few years with thousands of outbreaks reported in domestic poultry and wild birds despite being an intensive field of research many unknowns remain as we are still struggling to predict hpaiv emergence avoid viral spread and limit the socioeconomic impact entailed predominantly by control measures vaccination of domestic poultry against avian influenza is now being given full consideration as it is becoming clear that traditional prevention and control approaches alone will not curb the accelerating pace of occurrence of devastating hpaiv epidemics on 1 october 2023 france became the first eu country to implement a nationwide vaccination campaign in ducks however vaccinating domestic poultry does not come without important challenges vivace therefore aims at putting together a doctoral network to contribute to fully integrate poultry vaccination approaches into efficient management strategies for hpaiv we will do so by unravelling the impact current and upcoming eu vaccination policies will have on avian influenza virus evolution surveillance and control strategies and societal burden of hpai this will be done through a combination of disciplines from life sciences epidemiology computer sciences and social and behavioural sciences the training program proposed here includes scientific and transferrable skill sessions builds on the integrated added values of complementing expertise virology immunology modelling spatial and molecular epidemiology social psychology economics and policy and full access to stateoftheart technologies in excellent environments the consortium gathers 15 universities or research institutes and 5 private companies securing both intersectoriality and wide geographic distribution with tailored epidemiological and vaccination contexts
beeometrics an aipowered predictive platform based on wild bee activity for targeted environmental management

in response to the eu green deals call for enhanced environmental responsibility beeodiversitys beeometrics project addresses the environmental intelligence challenge the rising humaninduced pollution poses significant risks to ecosystems soil water and air quality our innovative solution aims to bridge existing gaps within the eu by introducing costeffective green technologies for environmental monitoring and remediationbeeometrics combines a naturebased lowcost onsite monitoring device with a powerful ai platform it efficiently integrates aggregates and interprets data collected from various onsite sources including biological chemical and physical remote sensors this integrated approach bolstered by ai harnesses wild bees found throughout europe as scalable environmental bioindicators our primary focus is monitoring specific pollution and biodiversity metrics facilitating indepth ecosystem health analysis and generating predictive recommendations for remediating environmental contaminants and revitalizing biodiversitybeeometrics is designed to offer decisionready informationbased guidance to policymakers and land managers it provides easily understandable and scalable ecosystem metrics and recommendations empowering them to make informed choices our project seeks to reduce environmental pollution by developing safe and sustainable pilotscale prototypes in doing so we aim to raise awareness of the delicate balance between human activities and natural systems ultimately beeometrics contributes to the evolution of an eu environmental monitoring and remediationbased economy simplifying environmental policymaking through environmental intelligencebeeometrics project stands at the forefront of shaping policies for environmental sustainability preventing biodiversity loss fostering economic growth and promoting human health in this way we are dedicated to advancing the cause of environmental intelligence
compressed sensing for climate a novel approach to localize quantify and characterize urban greenhouse gas emitters

climate change is a defining issue of our time without significant rapid greenhouse gas ghg emission reductions we will face unpredictable consequences for climate and life to effectively reduce ghgs the emissions must be accurately quantified and unknown emitters found however measuring global ghg emissions is very challenging and hence current emission inventories rely mostly on bottomup calculations which lack accuracy and the ability to detect unknown sourcesin cosense4climate i will use the powerful mathematical theory of compressed sensing cs to revolutionize atmospheric inversion my goal is to develop a method to locate quantify and attribute ghg emitters with unmatched spatial resolution and accuracy cs has been used with great success in signal and image processing by taking advantage of the fact that most signals contain redundancies using cs in combination with domain transformations i will generate accurate high resolution emission fields and reveal unknown sources yet require less data than conventional methods i will develop a cs inversion framework not only for local sensor data but also for satellite data which upon success will lead to a breakthrough in monitoring urban ghg emissions globallyi am best suited to reach this goal i have gathered a unique dataset with my fully automated differential column ghg network muccnet the first of its kind with my rich experience in applying computational fluid dynamics cfd solarinduced fluorescence sif and machine learning ml for estimating ghg emissions i will additionally create a highresolution cfdbased atmospheric transport model a satellite sifbased urban co2 biogenic flux model and a ml method for source attribution based on ratios of ghg and air pollutant concentrationscosense4climate will establish a new standard for ghg emission monitoring and provide groundbreaking scientific methods to help solve one of todays most urgent problem climate change
driving rural innovation through startup villages across europe

in the eu the biobased economy drives growth through job creation and innovation by utilizing renewable resources and through alignment with the circular economy and bioeconomy in order to stay competitive europes industry must become greener circular and digital through collaboration among companies member states and rural regions in europewithin this context the general objective of drive is to increase the implementation of european local startups fostering innovative ecosystems for the development of new valueadded products technologies and approaches via a series of exploitation and trainings actions thus the three pillars of the project namely the identification of the needs and projects users for instance at least 2 regional accelerators and incubators will be contacted by the consortium in each of the three roadshows according to the methodology to exchange best practices and reinforce smes and startups participation the second pillar the roadshows and the hackathons and the last one the mentoring for the development of the technologies are closely intertwined as they have been conceived to cooperate in an integrated way in order to exploit the benefits gained by the work team meaning boosting the quality of their work and possible results therefore the main outcomes of drive can be summarized in four to develop a tailored business model at an european level for pitching to investors to apply for regional initiatives or european financial support instruments to prepare a pitch presentation and identify investor events and to enroll in further acceleration programs for continued idea deployment and commercialization
harnessing bacteriadriven interfacial dynamics for optimised soil drying

bacteria abound in the soil contributing to major global geocycles and plant growth bioaugmentation the stimulation or tuning of this natural microbiome to optimize its function for human gain has recently been used with success to manipulate biological interactions however we lack the understanding of the impact of bacteria on the physics of soil that would be necessary to direct bioaugmentation toward abiotic goals such as limiting water loss to drying one fifth of all water deposited on land is rapidly lost back to the atmosphere by this process using novel experimental and theoretical approaches bactodry will bring bioaugmentation for reduced drying toward feasibility by harnessing the control bacteria exert on macroscale drying via alteration of the physicochemistry of the numerous microscopic airwater interfaces in a drying porous soil we will develop microfluidic devices capturing features of airwater interfaces at the scale of one to a few pores while giving unprecedented access to bacterial and interfacial dynamics at the microscale wp12 and use them to gain quantitative insight into the biophysicochemical couplings that set fluid flows and evaporative rate how these microscale relations upscale will be tested in granular column experiments shedding light on interface dynamics in complex 3d structures wp3 we will then develop an in situ selective chip for isolating natural bacteria that impact drying wp4 building on the insights gained in wp14 we will demonstrate how soil can be bioaugmented with bacteria selected from the environment to achieve reduced evaporative drying in the field wp5 bactodrys novel methods and insights will have farreaching impacts on our understanding of natural surfaceactive molecules the study of microbial life in unsaturated soil and its impact on natural cycles and the development of novel bioaugmentation tools grounded in the biophysical coupling between microbial life and abiotic phase
transforming advanced water skilling through the creation of a network of extendedreality water emulative centres

waterline aims to create a european digital water higher education institution hei alliance based on the quadruple helix model of innovation leading to the development of the alliances research educational and entrepreneurship capacities this shall leverage the individual institutional and regional resources required for a transformative structural and sustainable learning and innovation environment to achieve this waterline has five specific objectives 1 support consolidation of the alliance by cocreating a common governance framework and a research innovation ri capacity building plan 2 cocreate a portfolio of water components for master level and transform emulative laboratories in partner widening heis into assisted and virtual reality these structural changes will lead to transformed and more competitive ri heis 3 strengthen waterline researchers ri capacity excellence by implementing activities such as summer schools to enhance education and ri skills and proposal writing workshop 4 build a european network of academicsresearchers who together with quadruple helix actors will allow knowledge flow in water domains and extended reality technologies this allows greater involvement of regional actors in the ri process and enhances one of the major societal challenges waterrelated education moreover it will strengthen academic and business links through academiatobusiness meetings and a hackathon to mainstream entrepreneurship mindsets waterline will finally 5 sustain the alliance by i establishing ambassador networks ii identifying the ri funding landscape thus increasing participation in he and the mobilisation of resources in the water sphere and iii creating synergies with eu initiatives institutions other projects and networks
eu knowledge hub for enabling molten salt reactor safety development and deployment

the endurance project eu knowledge hub for enabling molten salt reactor safety development and deployment aims at supporting the safe operation and the technological development of msr in europe through the knowledge advancement in different fields of the msr research connecting the design developers and industry needs with the university and research centre capabilities and the regulator requirements this eu knowledge hub will gather seven universities eight research centres four european startups working on msr design one industry one technical and support organization to improve the maturity of relevant critical technology elements ctes that are key enablers for the industrial deployment of the msr technology the five ctes in which the endurance project will contribute are i the chemistry of fuel salt and structural materials in reactor environment ii the experimental evidence on safety related phenomena iii the modelling preparedness for safety assessment and licensing iv the sustainability and safeguards compliance of msr fuel cycle v the demonstration of safe msr adaptability in future decarbonized energy scenario the environment created by the project will allow to promote crossfertilization of ideas solutions of technological issues discussion about the regulatory framework of the msr the outcomes of the project on the different ctes will be analysed to define a technological and scientific roadmap for the future development and deployment of msr technology in europe
from insightful science to innovative health strengthening translational capacity and talent interoperability in vaccine and biologic research innovation

following the covid19 pandemic biologicals and vaccines became regarded as salient pillars for disease prevention and control however strengthening preparedness for and response to health emergencies request more commitment and intersectoral cooperation between academia and industry to set up efficient strategies against diseases whether through surveillance detection diagnosis prevention or treatment vision vaccine biologics research innovation intends to implement an intensive intersectoral and bidirectional knowledgeknowhow transfer programs in order to reinforce vaccine and biologics development capacities with manufacturing upscaling or delivery capabilities among a consortium with institut pasteur de tunis tunisia darnitsa ukraine torlak institute serbia and connectinnov tunisia as academic ac nonacademic na widening members institut pasteur france and center for genomic regulation spain as academic research non widening nw organizations merck france and quantoom belgium as nwna partners vision comes as a critical lever for ri ecosystem feeding postpandemic needs and matches the who mrna transfer initiative aiming to enhance widening production capacities and help achieving a comprehensive health coverage towards sustainable development goals vision will in fine streamline the discovery testing and production of biologics and vaccine candidates including mrnabased technologies visions main objectives are threefold i endow widening talents with advanced knowledge and skills in vaccine and biologics development ii promote more impactful collaboration through training and mobility between ac and na sectors towards an efficient highperformance translational ri environment with an open science pillar and iii ambition to make widening members a regional flagship for excellence in innovative research with increased biobusiness and entrepreneurship capacity and openness to the socioeconomic sector
organizing the week of innovative regions conference under the hungarian eu council presidency

the national research development and innovation office organizes the week of innovative regions in europe under the hungarian eu council presidency on 1315 november 2024 the choice of the theme of this years conference reflects on one of the priorities of the hungarian presidency and a key factor of competitiveness for the european union in the upcoming years the discussions will contribute to the analysis of the stateoftheart and identify challenges and best practices the program will cover these topics through examining several initiatives concepts and tools launched elaborated and offered by the european union such as the smart specialization concept interregional innovation investments i3 instrument the partnerships for regional innovation pilot regional innovation valleys in order to get a sufficiently detailed and complex picture speakers will address the effectiveness of these tools present good practices and highlight synergies of european and regional funding schemes