Dragon09/odtu_chatbot huggingface dataset:
a distributed datamining software platform for extreme data across the compute continuum

data has become one of the most valuable assets driving the digital transformation across many sectors current data mining solutions are optimized to deal with specific data requirements but fail to cope as the data characteristics become extreme there is therefore an urgent need for novel and holistic approaches to enable the development deployment and efficient execution of data mining workflows across a heterogeneous secure and energyefficient compute continuum while fulfilling the diverse extreme data characteristics to fill this technological gap extract will deliver a datadriven opensource software platform integrating the most relevant technologies to facilitate the development of trustworthy accurate fair and green data mining workflows able to generate highquality actionable knowledge the extract platform will improve the complete lifecycle of extreme data mining workflows significantly enhancing performance energyefficiency scalability and security while fulfilling the extreme data characteristics in a holistic way moreover multiple computing technologies from edge to cloud to hpc will be integrated into a unified and secure compute continuum specifically the platform will feature enhanced data infrastructures and ai bigdata frameworks novel datadriven orchestration and distributed monitoring mechanisms a unified continuum abstraction and cybersecurity and digital privacy across all software layers the extract platform will be validated in two realworld usecases with different extreme data requirements 1 a personalized evacuation route service integrating data from the european data sources copernicus and galileo with 5g localization signals and smart city iot sensors for civiliancentric crisis management and 2 transient astrophysics with a ska pathfinder processing extreme data from 2000 radiotelescopes for the realtime assessment of solar activity generating knowledge for further scientific exploitation
building preparedness with collaborative knowledge platform gamification and serious game in virtual reality

recent disaster events like the 2021 flood in germany showed clearly that even the best alert systems and top first responder organisations can not prevent fatalities and serious damage on property without having prepared the citizens how to act and react during disaster situations and crises understand alerts and follow instructions bprepared offers a costeffective solution for building a culture of disaster preparedness with a multiactor approach in realistic historical scenarios bprepared builds on a freely accessible massive collaborative knowledge base and data hub demonstrating its usefulness via three demonstrator applications a cooperative multiplayer vr serious game simulating real disaster scenarios for the safest nearreal experience an interactive gamified mobile app with ageappropriate content and enhanced accessibility to people with specific functional needs for the widest possible reach and an lms system to effectively and comparably measure preparedness levels achieved by vr andor mobile users on a unified scale players can take different roles to solve puzzle tasks in an immersive experience teamplay collaboration and communication are keys to survival strengthening the culture of mutual assistance and cooperation in danger player behaviour and gameplay logged in a privacypreserving way helps collect data on ingame behaviour which serves assessment of preparedness but will also be shared with other synergic research in the same field a largescale virtual reality hackathon series will demonstrate its features the open beta will be publicly available as a giveaway inviting stakeholders via direct outreach after closing beta the game will be available in a nonprofit freemium model where ingame purchases are replaced by ingame donations for relief organizations with a small percentage kept for maintenance and further development
promoting a just transition to green hydrogen in africa

starting from the rdroadmapping experiences cea hysa strath iresen and tools julich artelys ime unige of consortium partners as well as the wide network of stakeholders at aueu level thanks to ahphydrogen europe relevant support justgreen afrh2ica aims to develop a green hydrogen just transition roadmap based on the analysis of different au green h2 scenarios analysed at socioeconomictechnical level as well as inspired by eu hydrogen and just transition programmes also to drive the deployment of future investment and policies in a synergic way between euau to do so justgreen afrh2ica will fully involve aueu stakeholders also engaging them in a trainingcapacity building programme promoted by an unesco chair initiative lead by unige and stimulating innovationmarket opportunities thanks to an openinnovation matchmaking platform stam just green afrh2ica aims to develop a green hydrogen just transition roadmap that would make aueu transition pathways to h2 synergic sustainable from environmental and social point of view and avoiding any new eu hydrogen colonization of africa but promoting a mutual benefit collaboration of the two continents towards the development of independent and collaborative h2 economies rd ecosystem and value chains just gren afrh2ica aims indeed to be the stepping stone of a collaborative h2 roadmap that based on the analysis of different au green h2 scenarios analysed at socioeconomictechnical level via partners tools also assessing local resources res and water mainly as key for green h2 production will also drive future investment and policies as well as the setup of local manufacturing lines project final outcome will be a set of 203020402050 au roadmaps that duly aligned with eu ones will pave the ground to the two continents hydrogen transition with a key common aspect sustainability from an environmental and social point of view to guarantee a green hydrogen just transition
astrogeodesy by vlbi global observing system

very long baseline interferometry vlbi is a powerful technique in astronomy to generate the most detailed radio images of exotic astronomical objects mostly active galactic nuclei agns in geodesy it enables both societal and scientific applications through its unique and essential role in defining the reference frames that underpin gnss and its many applications some scientific applications of geodesy such as monitoring sea level rise require high levels of precision and accuracy the next generation vlbi system the vlbi global observing system vgos is being developed with the ambitious goal of achieving on global scales the accuracy of 1 mm in station position and 01 mmyr in station velocityfor a long time it was thought that the radio propagation medium was the dominant error source and hence considerable effort was invested towards its reduction however in more recent years partly thanks to the pioneering work of the pi it has become clear that the true potential of geodetic vlbi can never be reached without understanding and correcting for the distortions caused by the angular structure of the agns ie distribution of the radio emission on the sky the astrogeodesy project will 1 study characterize monitor and interpret the frequency and timedependent structure of the agns based on vgos observations and 2 develop approaches to model them as pointlike fiducial anchors on the sky the aim is to close the gap between current capabilities and the target goal of 1 mm accuracy by combining the three disciplines of geodesy astrometry and radio astronomy at the same time this combination will in return enable vgos to be a powerful tool providing data to enhance these three fields about 30 vgos antennas have been or are being built across the world and regular vgos observations are carried out with the completed antennas it is timely to develop a new data calibration and analysis concept for vgos through this project
legumelegacy optimising multiple benefits of grass legume and herb mixtures in crop rotations modelling mechanisms and legacy effects

with the european green deal the eu has committed to transition to carbonneutral and sustainable systems of agriculture legumelegacy aims to adapt existing mixed or ruminant based production systems using state of the art knowledge from ecology agronomy statistics and other fields to minimize greenhouse gas emissions nutrient inputs and leaching and costs while increasing carbon stocks biodiversity and yield stability to achieve this an exceptional and distinctive strategy of legumelegacy includes a common experiment across multiple legumelegacy sites 10 doctoral researchers drs two funded by the swiss government will collaborate on the common experiment and have their own distinctive and complementary research objectives to develop a model system of crop rotation in the common experiment grassland plots of varying diversity of six species two grasses two legumes two herbs selected for complementary functional traits will be established as a grassland ley grown and terminated the grassland leys will be followed by a wheat crop the effect of the diversity of the grassland ley on the performance of the crop rotation will be evaluated by measurement of yield quality and environmental performance legumelegacy will recommend the design of grassland leys within crop rotations that optimise agronomic and environmental performance the multisite experiment will generalise the conclusion and its implementation potential across europe legumelegacy will train a cohort of 10 drs into a new generation of future leaders who will have the capacity to develop and deploy interdisciplinary and datadriven sustainable practices in the agricultural sector with a training programme that includes statistics specialised research skills targeted transferable skills and scientific cooperation within a global network this cohort of future leaders will be equipped with professional skills for a range of associated disciplines in industry or academia
model completion through nonlinear system identification

systems and control engineers aim to master increasingly complex dynamical systems while including stronger performance operational and energy constraints as modelbased control design remains the dominant paradigm this results in an increasing need for nonlinear modeling however model interpretability and generalization capabilities form important roadblocks for a wide adaptation and applicability of nonlinear system identification methodsstrong prior knowledge is given by existing models provided by system designers and engineers even though they do not capture all the nonlinear dynamics of the reallife system these models are currently not accounted for during blackbox system identification complete aims to develop a comprehensive nonlinear system identification framework to obtain accurate and interpretable models of measured complex system dynamics by completing an approximate preexisting model through blackbox nonlinear system identification new theory and algorithms are put in place to 1 provide model structures algorithms and theory that flexibly interconnect the preexisting model and the blackbox completion 2 ensure that datadriven completion models are interpretable and preserve key system theoretic aspects 3 datadriven experiment design strategies to detect quantify and localize model errors at low experimental costthese objectives are far beyond the actual abilities of system identification lifting the model completion for dynamical systems from adhoc approaches to a systematic flexible theoretically supported framework my leading expertise on structured nonlinear system identification and recent proofofconcept results ensure the feasibility of the project the resulting system identification framework is applicable over a wide range of engineering disciplines mechanical electrical biomedical and provides system engineers with the necessary insight to guide them towards better solutions for tomorrows industry
resilient and sustainable software security

in parallel with the ongoing digitization computer security has become an increasingly important and urgent challenge in particular the sound and robust implementation of complex software systems is still not well understood in practice as evidenced by the steady stream of successful attacks observed in the wild the current state of the art in software security consists of solutions that are often technically sound but do not provide operational security in practice with the resilient and sustainable software security rs project we propose a compelling research agenda to fundamentally change this situation by developing novel countermeasures at different system levels that fundamentally improve security on the one hand the system must be resilient against entire classes of attack vectors on the other hand the system must be sustainable ie it must be able to maintain its security at least over its design lifetime and possibly even adapt over time our work plan addresses the problem from four different angles byi developing novel software testing strategies that enable accurate and efficient vulnerability discoveryii designing secure compiler chains that embed security properties during the compilation phase that can be enforced at runtimeiii devising robust mechanisms that mitigate and patch advanced attacks andiv investigating how hardware changes for opensource hardware eg riscv processors can improve the efficiency and accuracy of all of these goalswe expect to develop innovative methods and fundamental principles to build test and patch complex systems securely and efficiently this holistic approach covers multiple layers of the computing stack and each aspect has the potential to improve security significantly the main success criterion will be our ability to perform a security analysis of a complex system an order of magnitude more effectively and efficiently than with current stateoftheart methods
coprodaction addressing the coproduction of urban environment in quito ecuador

coprodaction addresses the problem of societal restructurings stemming from rapidly advancing climate change in combination with the current covid19 pandemic that has triggered major additional challenges in cities across the globe and especially in global south the case of quito reveals both critical encounters of these multidimensional problems and also communitybased innovative experiments that have achieved coproduction of more sustainable and resilient urban environments the main objective of coprodaction is to understand to what extent the application of communityled practices influences or contributes to improving the coproduction of such environments affecting the effectiveness of urban planning and social equality to this end coprodaction will employ both qualiquantitative and sociospatial approaches therefore the research will be developed through theoretical research about practices and concepts including the comparison between conceptualization and application of coproducing urban environments further the empirical research includes both traditional spatial analysis ethnographic analysis and collaborative analysis such as comapping and permanent coproduction laboratory with local actors as civic organizations ngos municipal authorities urban planners and other relevant stakeholders the project will provide indepth understanding on how such alternative knowledge may inform and contribute to the elaboration and implementation of novel approaches for the governance of contested urban territories with transferable results to other geographical contexts in cities across latin america and global south finally it defines a new and broader conceptual framework of coproduction and also processes and mechanisms preparatory to the success of coproduction further it presents a codesigned proposal for updating and adapting the planning and transformation model of the resilient sustainable and equityoriented urban environment
highorder harmonic generation triggered by elliptically polarized laser pulses

highorder harmonic generation hhg is a highly nonlinear phenomenon arising from the propagation of a laser pulse throughout a medium hhg is used to generate tabletop sources of attosecond light pulses essential for probing ultrafast phenomena in matter at the natural scales of the electrons the shape of the generated light pulses can be changed by changing the intensity or the frequency of the incident light however these parameters cannot be continuously changed in experiments in contrast to the ellipticity which is moreover simple to adjust and acts as a control knob while polarization of the incident light is very promising for controlling the shape of the generated attosecond light pulses up to date hhg is limited to a narrow range of ellipticities only the project ephhg aims to control continuously the shape of generated attosecond light pulses from incident elliptically polarized lights in the full range of laser ellipticities i propose a theoretical and numerical investigation adapted for this purpose it includes the development of both theoretical models and sophisticated numerical methods in order to simulate and understand the selfconsistent lightmatter interactions occurring during light propagation
bacterial alkaloid biosynthesis off the beaten path compartmentalization and nonenzymatic transformations in noncanonical alkaloid biosynthesis

nature is a remarkable pharmaceutical chemist more than 50 of approved drugs are natural products nps or have drawn inspiration from them according to the central dogma of bacterial np biosynthesis all transformations responsible for the formation and modification of a np scaffold are carried out by enzymes encoded in a biosynthetic gene cluster bgcsophisticated genome mining algorithms have been developed to identify np bgcs in microbial genome sequences these algorithms excel in recognizing canonical bgcs noncanonical bgcs associated with nps that are not biosynthesized following textbook biosynthetic knowledge evade detection by stateoftheart genome mining algorithms we have identified alkaloids that undergo nonenzymatic transformations thus defying the central dogma of np biosynthesis bacteria likely employ specialized microcompartments to facilitate these spontaneous reactionsthe combine team will develop machine learningbased genome mining algorithms to systematically identify and characterize alkaloid bgcs that currently elude detection these noncanonical pathways biosynthesize alkaloids independent of the ribosome and nonribosomal peptide synthetases we will focus on alkaloids that undergo nonenzymatic transformations in bacterial microcompartments we will establish a model system to study the level of compartmentalization necessary to facilitate spontaneous reactions insights gained from these studies will be used to engineer np and primary metabolic pathways for the nonenzymatic fusion of tailormade nps or primary metabolites with complementary reactivityspontaneous reactions in bacterial microcompartments can be harnessed for the fusion of two nps with different targets to create bispecific chimeras to combat drug resistance or to fuse bioactive and homing components to mitigate offtarget effects the proposed research will inspire the development of biomimetic syntheses and expand np chemical and biosynthetic space
ehealth tools to promote equality in quality of life for childhood to young adulthood cancer patients survivors and their families a paneuropean project supported by pancare and harmonic consortia

cancer affects 35000 children adolescents and young adults cayac in europe each year current 5year survival rates are 80 but the intensive oncological treatments leave cayac survivors cayacs at increased risk of cancer or treatmentinduced late health effects excess morbidity and mortality and reduced quality of life qol followup care of survivors includes monitoring of cancers managing all types of late effects and maintaining overall health it should also involve considering the needs of families whose functioning has been disrupted by cancer there are several challenges providing followup care for cayacs and their families i it is resourcedemanding in an overburdened healthcare system ii psychosocial and supportive care needs are often unmet and iii access is inequal between european countriesthe overall goal of equol is to use ehealth tools to promote equity in quality of life for cayacs and their families it will adapt an existing interoperable personalised ehealth tool that can be used alone or as an addon module to existing tools such as digital survivorship care plans already used in several european countries through participatory research involving cayacs families associations networks health institutes social sciences and humanities researchers and industrial partners from 15 different countries and backgrounds we will i identify the unmet needs of cayac families and survivors including vulnerable groups young age and cognitive impairments and ii adapt accessible and affordable tools to address these needs these tools will provide a personcentred approach from medical followup preventive behaviours eg physical activity nutrition psychological and social support eg education employment to related health information eg on reproductive issues ultimately equol will improve cayacs qol by enabling them to actively engage in their care and better selfmanage their health and wellbeing this action is part of the cancer mission cluster of projects on quality of life
artificial catalysts for endergonic reduction by electron bifurcation

endergonic catalysis converts lowenergy substrates into highenergy products such reactions are highly desirable in academia and industry as they allow the transformation of abundant starting materials into complex products however endergonic reactions are impossible by classical catalysis since the reverse reaction to the starting materials always dominates nature found an amazing way to drive endergonic reduction reactions catalytically by coupling an energetically uphill reduction to a separate energetically downhill reduction this strategy is called electron bifurcation and has been discovered with quinone and flavindependent enzymes no artificial catalysts capable of electron bifurcation have been realised to date in bifurcat i propose the design realisation and application of molecular electron bifurcation catalysts the key to achieving this goal is the precise localisation of two designed organic redox sites in close proximity this mimics the enzymatic strategy of splitting two electrons of a mediumpotential reductant into a strongly reducing electron at the expense of a second weakly reducing electron at separate redox sites electron bifurcation allows using environmentally benign abundant organic reductants such as formic acid or ascorbic acid to drive energetically uphill oneelectron reductions at the strongly reducing redox site currently these reactions require superstoichiometric rareearth metal reductants or constant irradiation i propose to demonstrate the utility of this new approach by applications in reductive incorporation of carbon dioxide into organic substrates and challenging dearomatisation reactions which both lead to highly soughtafter compounds for the preparation of pharmaceuticals agrochemicals and precursors to organic materials bifurcat has the aim to change our view on energetically impossible reactions and to provide a resource and energyconserving alternative strategy inspired by nature