Dragon09/odtu_chatbot huggingface dataset:
edtech talents

the recent covid19 era demonstrated the need for seamless education accessible under most challenging circumstances it was revealed that while the technologies for facing these challenges exist more work is needed to adapt these in modern education a task that requires significant collaborative effort from academia and the rapidly developing educational technology sector edtech in order to involve best practices and validate novel products and services for the real world classroom use for various reasons this collaboration has been meagre so far the goal of the edtech talents project is to strengthen academianonacademia cooperation and reinforce the edtech innovation ecosystems of estonia hungary and serbia by conducting a longterm knowledge transfer process for a the researchers and their support staff of these widening countries to learn from the edtech spinoffs and consulting companies of austria germany and spain and b the researchers of these advanced countries to share their relevant intellectual capital with the edtech startups of these widening countries during this process knowledge transfer is supported via dedicated mentoring and training that aim at establishing continuous and more impactful flow of innovation ideas knowledge knowhow and relevant services among all involved corresponding with the scope of era policy agenda and era talents call for crosssectoral talent circulation and academiabusiness collaboration with the focus on widening countries
partnership for european research in radiation protection and detection of ionising radiation towards a safer use and improved protection of the environment and human health

the ambition of the pianoforte partnership is to improve radiological protection of members of the public patients workers and environment in all exposure scenarios and provide solutions and recommendations for optimised protection in accordance with the basic safety standards research projects focusing on identified research and innovation priorities will be selected through a serie of three competitive open callsthe input to define the research priorities will be based on the priorities defined in the joint road map jrm developed during the h2020 concert ejp but also on the results of ongoing h2020 projects and on the expectations expressed by other actions carried out in other european programmes in particular the samira action plan high priority will be dedicated to medical applications considering that 1 medical exposures are by far the largest artificial source of exposure of the european population and 2 the fight against cancer is a top priority of the present european commission in order to ensure an appropriate continuity in the research goals and methodologies in line with the contents of the concert jrm two other priorities have been identified to further understand and reduce uncertainties associated with health risk estimates for exposure at low doses in order to consolidate regulations and improve practices and to further enhance a sciencebased european methodology for emergency management and longterm recoveryonce the research priorities defined the open call system will promote excellence in science and widening participation through a process open to the whole radiation protection community beyond the research actions the selected projects will be able to benefit from the system of sharing and mutualisation of infrastructures that will be implemented at the european level this will be accompanied by education and training schemes for health workforce and young scientists to increase europes research capacity in the field
generalised timeseparated stochastic mechanics

as a physical fact randomness is an inherent and ineliminable aspect in all physical measurements and engineering production hence all material parameters are subject to stochastic fluctuations however highly accurate predictions are key to achieving the goals of resourceefficiency and sustainability in engineering and construction in this context randomness in material parameters constitutes a severe problem if we can experimentally quantify the magnitude of fluctuations of material parameters how can we numerically include this information to predict fluctuations in the reactions of construction parts or processesall existing strategies for the inclusion of stochasticity in engineering design share the drawback of large numerical costs leading to inefficiencies eg an increase in simulation time by orders of magnitude this prevents their industrial application and consequently stochastic fluctuations are not factored into design this is compensated for by adding buffers eg overestimated safety factors oversized wall thickness or higher maintenance frequencies all leading to increased economic and environmental coststhus a step change in engineering design is required to allow the inclusion of stochasticity into material modelling and engineering simulation while minimising the numerical extra cost gentsm aims to meet this challenge by developing a novel strategy for efficient stochastic modelling of highly complex problems and creating a computational framework for the automated formulation of stochastic versions of existing material models my vision is to unlock the currently untapped potential of material modelling and enable computing stochastic behaviour to become the new standard in engineering design this would revolutionise current state of the art allowing access to the full information field by including stochasticity into simulations at low computational costs
novel concepts for safer lighter circular and smarter vehicle structure design for enhanced crashworthiness and higher compatibility

automotive safety is one of the most crucial factors in vehicle development and future vehicles need novel lightweight structures that are safer and sustainable throughout their lifecycle hence the longterm aim for salient is to make our roads safer and reduce serious injuries and fatalities to reach this ambition salient will present novel structural and vehicle concepts that are safer lighter circular and smarter which can be adapted to accommodate different crash scenarios salient will focus on innovating new technologies and will develop demonstrate and validate the effectiveness of light frontend structure fes considering ecodesign and circular economy principles to enhance vehicle safety salient will adapt advanced light materials improved manufacturing and joining techniques innovative circular design and emerging active safety technologies to develop a smart fes with high energy absorption capability and to be adapted prior crash events with future mixed traffic scenarios to meet or exceed future vehicle demands in terms of safety structural integrity crashworthiness and compatibility salient will build a pathway for the newly accumulated strategic knowledge to impact eu industries and society its ambition is to create global impacts and to play a key role to support eu strategic needs and economic and societal challenges the consortium consists of twelve partners from seven countries representing the full automotive value chain with leading european car manufacturer working alongside worldclass research and education organisations plus innovative smes the project has been engineered to ensure maximum impact for the automotive industry in particular and society as a whole significantly contributing to the evolving field of automotive safety
paramagnetic fluorinated and watersoluble metal complexes for 19f mri

19f mri relies mainly on the use of fluorinedense perfluorocarbon nanoemulsions however poor water solubility limited stability droplet heterogeneity rigorous liver accumulation of the particles as well as the relatively long fluorine relaxation times often limit their applicability feiii and mnii have the most advantageous paramagnetic properties to shorten t1 relaxation time of 19f without strong linebroadening t2 effect deleterious for 19f mri detection the combination of these paramagnetic metal ions with small molecular weight ligands containing maximized number of magnetically equivalent fluorine atoms is proposed here to circumvent the problems associated with perfluorocarbon nanoemulsions we will create complexes that provide high thermodynamic stability and kinetic inertness important for safe biological application good water solubility as well as short 19f t1 relaxation time allowing for fast mri scans and high signal to noise ratio a series of openchain and macrocyclic ligands will be synthetized and their mnii and feiii complexes characterized with respect to their application as 19f mri agents water solubility thermodynamic and kinetic stability 19f relaxation properties structural variations of the ligands will allow for optimizing the 19fmetal distance for optimized relaxation effect for a proof of concept cell labelling study we will choose dendritic cells dc and t lymphocytes tl two cell types frequently used for adoptive cell transfer strategies in oncology cytotoxicity and cell labelling capacity of the probes will be assessed and in vitro mri phantom images will be acquired on cells labelled with the paramagnetic complexes
onebiosecurity systems and technology for people places and pathways

the overarching objective of onestop is to pioneer an innovative and joinedup approach to biosecurity for terrestrial invasive alien species strengthening the interconnections between animal plant human and environmental health onestop aims to harness current technologies and citizen science while overcoming challenges posed by dispersed and fragmentary processes policies and knowledge to deliver methods for identification early detection and surveillance of invasive alien species onestop aims to achieve transformative results to minimise the introduction establishment and spread of invasive alien species by integrating cuttingedge detection methods underpinned by prioritisation and robust models alongside stakeholder engagement to inform harmonised policies and facilitate knowledge exchange the outcomes will be relevant for invasive alien species policy noting the importance of enhancing collaboration and coordination across local national and regional scales recognising that geographic boundaries do not confine the impact of these species by adopting a holistic and interconnected approach onestop seeks to establish a strategy to achieve rapid and transformative progress in detecting eradicating and controlling invasive alien animals and plants ultimately contributing to a more secure and resilient environment throughout onestop is based upon the strategic actions recommended for integrated governance of biological invasions in the recently published ipbes thematic assessment report on invasive alien species and their control ipbes 2023
molecular dynamics data bank the european repository for biosimulation data

after decades of development and a nobel prize molecular dynamics md has reached maturity it is no longer an exotic technique used by a small group of theoreticians but rather a method extensively used by a very large community of users millions of supercomputer hours are devoted to collecting trajectories thus producing a deluge of simulation data that the community is unable to handle a poor tradition of data sharing and the lack of appropriate infrastructures to do so lead to the loss of data after limited analysis that most likely revealed only a small fraction of the information contained sparse initiatives to build trajectory repositories have encountered difficulties related to i the lack of trust of the community in the reliability of the data deposited ii the lack of interoperable standards and simulation ontologies iii uncertainties regarding the database technology required v difficulties of the users to interact in an open manner with the data and vi disconnection of the mdfield with neighboring communities the mddb projects intends to design a europeanscale repository of md simulation and associated analysis tools which will i optimize computational resources ii favor the analysis and metaanalysis of trajectories for many different perspectives and fields iii guarantee a fast and efficient interchange of information between groups and iv facilitate the integration of the md simulation field into neighboring communities the overall result will be a more efficient use of md and the integration of the md field into mainstream biology and chemistry research
clouds and climate transitioning to postfossil aerosol regime

aerosolcloud interactions aci remain the largest source of uncertainty in past present and future radiative forcing impeding credible climate projections aci effects are expected to change dramatically as we enter a postfossil world characterized by strong reductions in anthropogenic aerosol emissions but with increasingly larger impacts from natural aerosols although we expect cleaner clouds compared to today aci in this postfossil state may considerably differ from preindustrial conditions owing to shifts in climate and changes in sources region characteristics cleancloud will address the major gaps impeding robust aci assessments improve their representation in current and next generation kilometerscale climate models quantify and understand their regional and temporal effects and how they will evolve in the transition to the postfossil regime to accomplish this cleancloud will 1 carry out targeted field experiments in european climate hotspots 2 develop stateoftheart algorithms and analysis tools to obtain new proxies and diagnostics for key acirelated processes 3 contribute to the calibration and validation of upcoming satellite missions in coordination with the satellite community 4 improve and better constrain kilometer and largescale climate models using advanced machine learning data assimilation and model calibration confronting perturbed physics ensembles with existing and new satellite and insitu data and 5 assess the role of aerosols in the life cycle of convective systems focusing on precipitation formation and the impacts on the hydrological cycle and 6 enhance the exploitation of data centres measurement programs international campaigns laboratory studies and models with these cleancloud will profoundly strengthen european research on climate change significantly contribute to upcoming climate assessments and benefit society through models that enable improved weather and seasonal predictions
contactinduced bladecasing interactions in aeroengine turbines an integrated simulation framework for local and global nonlinearities

gas turbines play a vital role in terms of energy and mobility in 21st century accurate simulation tools are mandatory to increase competitiveness by increasing safety and reducing development coststhe growing tendency of designers to increase the efficiency of turbines has led to reduced operating clearances between rotating and static components and consequently frequent structural contact during operation on top of that the design tendency to reductions in fuel burn noise and emissions makes the structural components lighter slenderer and under greater excitation which increases their geometrically nonlinear behaviorreliable analysis of the dynamic response of a turbine during bladecasing contactinduced interactions is of great importance due to its impact on fatigue life or potential catastrophic failurethe project aims at developing a validated numerical tool to predict the vibration due to bladecasing interactions high computational efficiency will be granted by a nonlinear model order reduction technique able to handle both contact local and geometric global nonlinearitiesthe numerical predictive tool will be experimentally validated taking advantage of the experimental equipment available at the host institutionthe bcints project aims at developing and validating mathematical and numerical models where both local and global nonlinearities are taken into account for an accurate prediction of the dynamic behaviour of rotors in case of bladecasing interactions
european network on the supramolecular chemistry of carbohydrates

carbohydrates are natures most abundant and versatile molecules and are involved in several diseases eg diabetes infection andcancer metastasis and other regular processes eg fertilization immune surveillance and inflammatory responses understandingmonitoring and intervening in these processes could be exploited in medicinal therapies glycobiology and biomedical research ingeneral such applications are predicated on the availability of carbohydrate binding molecules cbms that can selectively andsupramolecularly noncovalently bind a plethora of carbohydrate molecules ranging from simple monosaccharides to complexoligosaccharides and glycoconjugates technologies that can be developed based on cbms include the separation and isolation ofcarbohydrate containing molecules making carbohydrate sensing and detection devices enabling selective chemistry onunprotected carbohydrates and a range of biofunctional applicationswhile the expertise to design synthesize study and exploit cbms is mostly european the research groups active in this emergingfield work independent from each other with this doctoral network grant we aim to unite this expertise in the european network forthe supramolecular chemistry of carbohydrates enscc with most of the worlds leading minds on the topic and three companiesthat are spearheading technologies in the field our enscc will be a european powerhouse that will lead the academic field globallyfor years to come this will be achieved by sharing expertise keyinfrastructure molecular building blocks and most importantly bytogether training the ten phds that this doctoral network grant will fund this training by a unique network of worldleaders expertsin the field and companies with an interest in cbms will perfectly position our phd students to further develop the field by continuingtheir career in academia andor industry
a cutting edge integrated approach to sperm biology and associated reproductive biotechnologies to assist the dairy and beef industries meet growing societal environmental and economic demands

bullnet consisting of 8 beneficiaries and 13 associated partner organisations will build a multidisciplinary and intersectorial research programme designed to unravel the complex underlying biology of compromised fertility of individual bulls cuttingedge basic applied and machinelearning approaches will be used to deliver a robust flexible semen product from young appropriately reared and managed firstseason elite sires that can be used successfully for artificial insemination ai with predictable and consistent fertility so as to provide the industry with key tools to meet current emissions and animal welfare demands bullnet will also lead to the advancement of knowledge in how bull management strategies and semen processing affect the functional and molecular characteristics of sperm thus opening scientific horizons for new applications in the area of assisted reproduction the overall aim of this programme is to train a new generation of creative entrepreneurial and innovative doctoral candidates dcs in the area of bull fertility bullnet will expose dcs to different sectors and they will acquire a comprehensive set of transferable skills working in the specific research area relating to their individual research projects with an emphasis on the need for technology transfer from academic institutions to commercial users moreover given the wide range of academic and industry organisations involved the dcs will be able to face current and future challenges in order to convert knowledge and ideas into products and services for economic technological and societal benefit
strategic information new directions and applications

in a world saturated with data the role of information as a coordination device for economic activity is more and more central and impacts phenomena such as financial crises currency attacks and social stability although the importance of information as a driving force is well established current models of coordination and robustness are limited to the restricted class of binary actions supermodular games following recent methodological advances of the pi as a proof of concept the project offers a model of strategic types that will define the role of information in general strategic situations our methodology diverges from the conventional approach by reframing all information in relation to the game under study rather than considering information description as a distinct entity separate from the game itself our approach centers on strategically relevant information within a particular predetermined game contextsinfonia will create new foundations for the analysis of information in economics and delve into new positive and normative implications of the theory as described in 7 work packages wpthe first 4 wps are methodological they provide a model of strategic types for a wide array of games wp1 develop new avenues to the measure and value of information wp2 unify strategic types with global games information structures wp3 and offer algorithms that will allow for wide applicability and dissemination of the methods wp4 wp5 utilizes these methods to expand the global games frontier and to analyze new models of financial stability while wp6 will offer a broad analysis of the robustness of economic outcomes including in trade and financial networks wp7 takes a normative approach and provides joint design of information structures and incentives that efficiently implement desirable outcomes it offers informational interventions to bring on changes in social norms in particular in gender inequality
tackling antibiotic overprescription

within the ever changing and ever innovative field of healthcare diagnostics shanx medtech and dr sophia eriola shanko are dedicated to bringing personalised diagnostic testing to the pointofcare ensuring the timely and appropriate administration of antibiotics to patientsworldwide over 400 million people visit their doctor with a urinary tract infection uti every year with the majority of utis stemming from a bacterial infection the treatment thereof is straightforward an antibiotic prescription however for physicians determining the correct antibiotic treatment for each patient remains problematic furthermore the global increase in antibiotic resistance rates reinforces the need to improve antibiotic prescription protocols shanx is developing a diagnostic tool that can be used at the doctors premises and it allows the physician to test a series of antibiotics prior to administration thereby ensuring the subsequent treatment efficacy the results provided are fast accurate and tailored to each individual patientshanx medtech is revolutionizing the antibiotic treatment workflow by enabling fast evidencebased and personalized antibiotic administration sophia is proudly building a world where women like herself are defining and designing a better future for patient care she hopes that her positivity and charisma serve as an inspiration to others and that while leading by example true passion paired with determination and grit can empower women to meet their potential and pursue entrepreneurship