Dragon09/odtu_chatbot huggingface dataset:
european doctoral network for resilient remote healthcare using intelligent sensing and communication technologies

current healthcare systems rely heavily on individuals selfmonitoring ability to identify symptoms and initiate professional medical intervention because of the limited possibilities to monitor a persons health proactively and from a distance smarttest is a timely innovative and the first doctoral training network with an interdisciplinary team of 9 academic 8 industrial partners 1 state inspectorate 1 hospital and 1 social service organization aiming to bring up a future generation of engineers capable of bridging advanced integrated sensing and communication isac technologies smart biomedical signal analytics and healthdisease monitoring to maximize the effectiveness of personalized healthcare smarttest will develop and validate the first proactive and contactfree remote health monitoring system by integrating human sensing vital function body motion vital signs monitoring and health status assessment into future wireless communication networks this will be achieved via efficient multimodal radio system integration wp1 radio signal analytics and human vital information aggregation wp2 biomedical signal classification and prediction for quicker response times and longterm disease prevention and management wp3 and autonomous radio resource management for dynamic sensing and monitoring tasks in dynamic environment with regulatory compliance and sustainability wp4 smarttest will adopt theory and experimentresearch training complementary and transferrable career training demonstration and application training together with multidisciplinary multisector and multiculture exposure to enable 11 doctoral candidates to become highly employable future leaders in domains of information and communicationradar technology data science healthcare and remote health monitoring standardization and regulation of radiodigital infrastructure and medical device essentially smarttest will strengthen the european innovation capability
agricultural robotics and augmented reality for workplace enhancement and labor linkage

the agricultural sector is known for its demanding and hazardous working environments leading to high rates of accidents and health issues among workers furthermore drudgery due to physical work and repetitive tasks diminishes the attractiveness of the sector for youth emerging challenges such as digitalisation technological intensification structural change environmental targets and new risks due to climate change coupled with global economic implications demand more and more from farmers and farm workers exacerbate the need for timely information and have new implications for occupational safety and health oshagrowell follows a highly interdisciplinary approach to enhance knowledge for technological transitions towards an environmentally economically and socially sustainable agricultural sector it brings together leading scientists from a multitude of oshrelated disciplines various regions across europe key technology providers and farmer representativesthe project will assess farmer needs and explore ways to increase awareness with respect to smart farming agrowell builds on five technologies to leverage the potential of robotics augmented reality and artificial intelligence to enhance working conditions and farm safety enable faster and betterinformed farm management decisions and reduce the environmental impact of four different farming systems potential effects of the technologies will be multidimensionally assessed to support market uptake agrowell will design and explore the viability of business models based on novel technologies that are predominantly focused on improving osh to support other promising technologies agrowell will incorporate an open technology competition enabled by cascade funding all project results will be synthesized in effective dissemination strategies and meaningful policy recommendations to foster promising technological solutions and sustainable business models
largescale magnetic cooling

the objective of the lemon project is the development and technical demonstration of a process for the scalable permanent helium3free generation of very low cryogenic millikelvin temperatures based on continuous adiabatic demagnetization refrigeration cadr it is aimed at providing the technical basis for largescale refrigeration systems with in principle arbitrarily high cooling capacities at cryogenic temperatures by connecting the same basic cooling unit together many times the proposed novel approach to largescale cryogenic cooling promises to meet for the first time the growing and diverse cooling requirements in the field of quantum technologies especially in the field of quantum computing qc it will make the high cooling powers required for qc in the range of some hundred w to several ten mw available for the first time ever thereby lifting the disruptive and ultimately economic potential of qc in addition the dependence on the critical resource helium3 which is only available to a very limited extent in the eu and so far cannot be substituted will be resolved overall a decisive contribution can be made to the technological sovereignty competitiveness and technological leadership of the eu in the field of applied quantum technologies
aromatic foldamer mimics of bdna targeting the alphahelix

proteinnucleic acid interactions pnis play a central role in biology and their control would enable longdesired biological interventions and future therapeutic applications however synthetic molecules that reproduce the overall shape and surface features of nucleic acids to interfere with pnis have been lacking because up to now it has not been possible to design such extended and complex abiotic interactions interfaces due to their distinct chemical composition predictable shapes large size and conformational stability aromatic oligoamide foldamers aofs are prime candidates for breaking new ground in this field folof aims to develop aofbased surface mimics of the bdna double helix targeted to the large ensemble of sequenceselective pnis mediated by alphahelicesbased on the pis expertise in aof science folof will proceed by 1 expanding the chemistry tool box to enable specific design objectives 2 optimizing the automation of aof synthesis for the fast delivery of long sequences 3 identifying structural features of proteinfoldamer complexes and specific foldamer features that make them outcompete dna binding 4 establishing protocols to iteratively improve protein binding affinity and selectivity for aofs and aofdna covalent hybrids and 5 developing computational tools for ab initio aofbased dna mimic design through a strategic combination of chemical synthesis computational predictions crystallographic structural analysis binding studies and screening tools folof will push the production of abiotic molecular mimics of nucleic acids to a completely new ensemble
enlightening the dark side of the phosphorus cycle in terrestrial ecosystems turnover of organic phosphorus in soils

phosphorus p is a macronutrient whose availability strongly affects many processes in terrestrial ecosystems p is recycled through organic p op decomposition resulting in the generation of inorganic p available for plant uptake despite the importance of this process for p cycling and other related biogeochemical cycles our understanding of op decomposition is to date very poor largely due to the lack of methods to determine the decomposition and turnover of op in soils in phoscycle i will develop a novel approach to study the decomposition and turnover of op in soils i will lead my team to develop compoundspecific isotope methods to analyze the isotope signature of carbon c in op compounds enabling us to determine for the first time the isotope signature of all important phosphomono and diesters present in soils we will utilize these new methods that make use of different c isotopes to quantify the decomposition rate and turnover time of op compounds in comparison to the soil total organic c pool and nonphosphorylated organic compounds in soils on three continents under various forms of land use in addition we will establish how op quality and soil minerals affect the sorption and persistence of op in soils finally we will model the turnover of the soil total op pool as well as the cycling of p between soil and plants in a large range of ecosystems revealing how soil op turnover affects p cycling in these ecosystems besides leading to a stepchange in the way we study and understand the p cycle in terrestrial ecosystems phoscycle will also provide a new starting point for our understanding of soil organic matter dynamics and interactions between element cycles in terrestrial ecosystems
inborn errors of translation reinitiation in humans with mendelian susceptibility to mycobacterial disease

mendelian susceptibility to mycobacterial disease msmd is characterized by severe infections with weakly virulent mycobacteria in otherwise healthy patients all known 31 genetic etiologies are inborn errors of interferon gamma ifng immunity and collectively account for about half of the cases we discovered private hemizygous predicted loss offunction plof mutations in the xlinked ribosome recycling and reinitiation factor mcts1 gene in five unrelated msmd male patients the connection with msmd is surprising because the mcts1 protein is typically thought to be involved in housekeeping of translation machinery and translational control of gene expression although the genetic evidence alone is compelling we propose to further prove causality by discovering the molecular and cellular mechanism by which mcts1 deficiency underlies msmd this project will hence help to better understand the previously unappreciated connection between regulation of translation reinitiation and ifng immunity the casanova group has worked on msmd for more than 25 years and identified most inborn errors of ifng immunity i have spent my phd working on the basic molecular mechanism of mcts1 i am therefore a highly suitable candidate to join the casanova group and to work on this project
curating replicating orchestrating and propogating citizen science across europe

in the past decade citizen science has become a proven and accepted methodology across a wide range of scientific disciplines able to collect new and complementary data which both enhances and adds context to existing data collection methods by upscaling to a transnational level citizen science could collect analyse and exploit a vast amount of data across the era and beyond achieving a higher impact through creating a multinational community of citizen scientists however many citizen science initiatives start at a smallscale facing technical practical and conceptual changes when attempting to upscale to a wider level with current eu mechanisms and other networks not providing the support coordination or resources required to assist their effort crops aspires to inform and evolve the eu research innovation system so that it can adequately support the transition of citizen science from smallscale to a europewide level moving it towards a modern openscience approach it will identify the most suitable citizen science initiatives for upscaling to the europewide level and in doing so will develop protocols resources and examples of best practice for the upscaling of citizen science activities helping practitioners to fully realise the potential impact of their activities towards the horizon europe eu missions this support will be tailored to all different types of citizen science and the different stakeholders that are involved and participation taken
hyperrealistic models for handson surgical training in nonhuman primate biomedical research

the prism project addresses critical challenges in neurosurgical training involving nonhuman primates nhps within the framework of the 3rs replacement reduction refinement endorsed by the eu nhps are indispensable models in biomedical research particularly in neurosciences due to their close phylogenetic relationship with humans however invasive procedures on nhps including cranial surgeries and targeted ablations pose ethical dilemmas and require highly skilled personnel this project introduces a groundbreaking solution by developing the first hyperrealistic model for handson surgical training in nhps collaborating with upsurgeon experts in 3d simulation for human neurosurgery prism aims to create a safe and ethical training environment for young researchers working with nhp the projects objectives include the design of a hyperrealistic nhp model the organization of pilot courses and devising strategies for commercialization prism promises enhanced visualization tactile learning experiences customizability and ethical training ultimately fostering career development animal welfare and research quality successful implementation will set a new standard in nhp neurosurgical education with global potential
social inequalities in workfamily strategies within and across 24 industrialized countries

the gender revolution framework predicts a seemingly linear progression leading to a dramatic convergence in mens and womens roles in paid work and at home yet gender convergence appears stalled by conflicting structural and cultural factors across industrialized countries existing theoretical perspectives fail to simultaneously predict how the gender revolution shapes couplelevel workfamily patterns across countries and time for those with lower middle and higher socioeconomic resourcesweequalize will address the intertwined implications of the gender revolutionincluding changing gender beliefs rising labor market insecurity and the increasing retreat from partnershipsin shaping social inequalities in workfamily strategies among differentsex couples across 24 countries from the 1960s to nowadays weequalize will provide the first comprehensive characterization and quantification of social inequalities in workfamily strategies across industrialized countries and over the long run it aims to identify a couplelevel typology of workfamily strategies examine the prevalence of these strategies by education and across countries evaluate the role of contextual factors in shaping workfamily strategies assess how historical and contemporary estimates of workfamily strategies are shaped by changing demographic trends and project future trends in workfamily strategies for the coming decades as well as collect and leverage new surveybased experimental data across different contexts to disentangle the role of gender beliefs from labor market constraints in shaping what type of workfamily strategies couples choose and whyby combining innovative computational methods with multiple nationally representative studies as well as collecting new surveyexperimental data weequalize will challenge and reframe our theoretical understanding of how gender equality progresses within and across families now and in the future
towards seamless climate information merging subseasonal and seasonal predictions to better manage climaterelated risks affecting the wine sector

the wine industry is one of the agrifood sectors most highly influenced by climate variability and change at different timescales in particular the integration of reliable and timely subseasonal to seasonal s2s climate information in decisionmaking might help the wine sector to better manage climaterelated risks this explains the recent interest of the wine industry in these sources of climate information however one of the challenges that prevent the users from the uptake of climate information is the lack of coherence between the climate predictions from different sources ie forecast systems at subseasonal and seasonal time scales this project will develop a novel methodology to produce coherent s2s seamless climate information for the wine industry this will involve 1 the understanding of the inconsistencies between the climate prediction sources at s2s timescales that prevent the users from a coherent flow of climate information and 2 the implementation of a methodology that merges subseasonal and seasonal predictions by using the knowledge from the physical processes relevant for the climate predictability at both timescales the new scientific knowledge and methods will be codeveloped in collaboration with representative stakeholders they will work with the fellow to design the climate information that has actual value for the management of the vineyards wineries and the strategic planning for the wine market the methods developed in this project could be further exploited to produce seamless s2s predictions for other socioeconomic sectors eg agriculture health and energy this action will be developed at the barcelona supercomputing center spain a wellknown institution in the implementation of successful climate services for different socioeconomic sectors furthermore a secondment period is projected at mtofrance france which is a producing centre of operational subseasonal and seasonal predictions
explainable algorithmic tools

deploying algorithmic solutions in realworld applications raises two challenges first we need easytouse and universal algorithmssecond we need to guarantee that algorithmic solutions can be understood by people using them we address the first of thesechallenges in tugboat project which aims to deliver unified algorithmic tools here we propose to develop tools that would addressthe second of these challengesin many use scenarios algorithms propose a solution to a human operator the main challenge in such cases is to convince him to usethe returned solution traditionally we think of algorithms in a blackbox manner ie as a tool to find a good solution we do notexpect algorithms to give a humanunderstandable explanation of why this is the best solution or what alternatives exist or what arethe bottlenecks nevertheless we humans still tend to ask these questions even if we understand the algorithms that are usedcurrently we lack good tools that could explain the results of optimization algorithms eg for the assignment problemfor practitioners like ourselves that work together with companies to deploy algorithmic solutions in realworld cases the need toprovide explainable algorithms becomes immanent here we will test and implement results developed in tugboat that can be usedto complement the algorithms with human explanations in particular we plan to enrich algorithms to give meaningful alternative solutions apply shapley value methods to determine key solution elements work with perturbed inputs to create robust and more concise solutions generate concise decision trees that would explain steps taken by algorithmsthis project aims to deliver the base parts of a software library that would give explainable algorithms we plan to concentrate on thetask assignment problem ie matchings where we already cooperate with companies
aipowered evolution towards open and secure edge architectures

verge will tackle evolution of edge computing from three perspectives edge for ai ai for edge and security privacy and trustworthiness of ai for edge edge for ai defines a flexible modular and converged edge platform that is ready to support distributed ai at the edge this is achieved by unifying lifecycle management and closedloop automation for cloudnative applications mec and network services while fully exploiting multicore and multiaccelerator capabilities for ultrahigh computational performance ai for edge enables dynamic function placement by managing and orchestrating the underlying physical network and compute resources applicationspecific network and computational kpis will be assured in an efficient and collisionfree manner taking edge resource constraints in to account security privacy and trustworthiness of ai for edge are addressed to ensure security of the aibased models against adversarial attacks privacy of data and models and transparency in training and execution by providing explanations for model decisions improving trust in modelsverge will verify the three perspectives through delivery of 7 demonstrations across two use cases xrdriven edgeenabled industrial b5g applications across two separate arçelik sites in turkey and edgeassisted autonomous tram operation in florence verge will disseminate results to academia industry and the wider stakeholder community through liaisons and contributions to relevant standardization bodies and open sources a series of demonstrations showing progression through trls and by creating an open dataspace for enabling public access to the datasets generated by the project
building knowledge book in the blockchain distributed ledger trustworthy building lifecycle knowledge graph for sustainability and energy efficiency

the idea is to build a knowledge base that can be used to trace all activities related to the overall lifecycle of buildings since various directives of the eu are related to sustainability resilience and energy efficiency of building stock it is necessary to provide a marketplace where various actors can share their offers including their quality certificates and credentials and where it would be possible to log and trace every information activity and change and use the knowledge to improve sustainabilitythe project will extend a digital building logbook dbl used by a municipality for the management and the administration of its huge set of buildings with several available and novel data tools and functionalities by the help of a decentralized knowledge graph dkg an open source blockchainbased solution dkg software will include specific buildingrelated ontologies so that the whole knowledge base about the lifecycle of the building can be logged and by that continuously updated providing mechanisms and interfaces for the relevant stakeholders to publish trace share tokenize end even trade models in a market economy such information integration can support decisions on optimal adaptation and intervention planning strategies for large populations of buildingsthe dbl will be integrated with several new functionalities demonstrated on a dozen of use cases via easily accessible and publicly available apis these functionalities will assure a high interoperability between legacy systems and existing tools eg bim hbim compliance with standards providing automated warning and alerting system with the help of machine learning tools digital twinning and decisionmaking support the new dbl based applications will be tested on pilot projects focusing on historical and critical buildings and on building stocksthe project targets a smarter and more sustainable built environment of the eu providing new market and new value creation