Dragon09/odtu_chatbot huggingface dataset:
flexible and hybrid manufacturing of green aluminium to produce tailored adaptive crashtolerant structures

flexcrash aims to develop a flexible and hybrid manufacturing technology based on applying surface patterns by additive manufacturing onto preformed parts aluminium alloys have been selected as the optimum material to build high performance structures addressing both lightweight and environmental sustainability they provide better recyclability affordability low crm content and costs than other material alternatives that would need complex developments for joining recycling and manufacturing the property tailoring capacity offered by hybrid manufacturing will permit to develop a new type of crashtolerant structures with outstanding performance under a wide range of impact angles and unexpected crash conditions structures will be defined according to the collision parameters identified by the different mixed traffic scenarios such tailored structures are the ideal solutions for dynamic active safety devices that allows displacement of crash structures to optimally face an imminent crash considering that the frontal crash is the most common 70 a frontend structure has been chosen as demonstrator to validate the manufacturing developments the modelling approach and the testing methodologies the flexibility of the proposed technology will facilitate its transferability to other safetyrelated structures in vehicles locations with higher risk for passengers injuries while decreasing the number of materials and processes used to manufacture a crash structure simplify supply chain will turn into 20 manufacturing costs saving and reduce the risk of disruption virtual testing with improved reliability validated by crash tests will be used to propose new testing configurations looking at the next step towards standardization the application of flexcrash solutions to the whole biw offers a lightweighting potential up to 20 with improved safety toward 50 reduction of passengers injuries and fatalities
wellbeing improvement through the integration of healthcare and research data and models with out border for chronic immunemediated diseases

enabling integration of medical and research data secure data sharing and leveraging responsible stateoftheart artificial intelligence aimediated models opens immense possibilities to mitigate the impact of chronic immunemediated diseases cimds affecting 10 of europeans eight european universities leaders in the medical and analytical field three smes one research institute and one company at the forefront of clinical ai implementation data infrastructure and security and a patient organisation formed the consortium wisdom the consortiums overarching aim is to convert complex biological information from the existing data sources into actionable insights wisdom builds on the premise that computational tools can provide valuable knowledge and guide decisionmaking at critical stages in the individual patient journey from diagnosis to treatment initiation and optimisation to unlock the potential of the existing data wisdom will address barriers of data integration and accessibility and deploy novel approaches for data processing harmonisation integration and secure trustworthy data sharing with federated access wisdom aims to develop computational risk stratification and outcome prediction models and tools in different cimd use cases building on large eufunded multimodal datasets and prospectively validate them on technical clinical and user aspects to facilitate datadriven and patientfocused diagnosis treatment and monitoring wisdom aims to promote the widespread utilisation of data and facilitate responsible and critical assessment of the use of ai in healthcare using an enduser guided approach leveraging collaboration among clinicians researchers legal and ai experts patient associations and rich stakeholder expertise wisdoms ultimate ambition is to revolutionise the integration management and analysis of health data across diseases and borders to promote personalised interventions and wellbeing
removing technical barriers to biomethane standardisation phase 2c

this project marks the completion phase 2c of a programme of work delivered in support of cen and technical committee centc408 initiated by dg ener aimed at revision of the standards for and therefore removal of barriers to introduction of biomethane into gas networks and vehicles by ensuring that the appropriate standards are fit for purpose at time of revision the work will ensure that costs of biomethane injection are optimized and there are no undue burdens on producers this work is expected to enable growth of the biomethane industry and confidence that investments can be made in biomethane production and injection it will therefore help to ensure the removal of barriers to achieving the repowereu target of 35bcm of biomethane by 2030 by aligning needs of producers transporters and end users the programme is therefore highly relevant in advancing regulatory work for greening the gas grid under the green deal it is also relevant for implementing red ii with maximum impactin cooperation with cen tc 408 its stakeholder community and dg energy gerg has developed and has been delivering a workprogramme to address the removal of barriers identified which will enable standardizationphase 1 funded by gerg members to identify barriers sacenresearch475201707 20182019 phase 2a experimental work on siloxanes and a literature study on impacts of sulfur impacts of oxygen particularly related to underground storage and corrosion and health impactssacenresearch475201909 20202022 phase 2b ongoing continued experimental work on siloxanes commencement of experimental campaign on sulphur and on oxygen impacts improving specific knowledge on biomethane at the european level particularly in relation to impact of feedstocksthe project proposed here 20222024 phase 2c completion of the experimental and literature campaigns begun in phase 2b to support the delivery by cen tc 408 and update of the standards
intelligent realtime elemental analysis system

ireas dtes realtime intelligence from liquid metals solution combines dtes unique and only in the market proprietary chemical composition analysis based on liquidphase laserinduced breakdown spectroscopy lplibs technology with a predictive aibased cloud platform engine of dtes metals intelligence ecosystem ireas converts elemental analysis data generated on the metals production plant floor into intelligence this intelligence is not only supplied in realtime to management and operators on the plant floor for decision making but is also fed back into the process and business systems for forwardlooking process control and business managementthe solution contributes to maximising value sustainability safety and efficiency along the endtoend value chain for all stakeholders in the metals industrydtes market target is the 35trillion metals industry with initial focus on the aluminium 255bny while working towards the iron and steel market 950bny
towards a resilient future of europe

the dynamics of the ageing of european societies and potential crisis scenarios make up the two critical cornerstones for this project first social inequalities in old age are very much a function of choices and events made at a younger age and across the lifespan as well as of stereotypical assumptions expectations and beliefs about the elderly ageing and old age hence ageing must be viewed in terms of a life course approach secondly given inherent uncertainties new policies and revisions of old ones ought to be resilience enhancing they should enable both citizens and service providers to cope and adapt to whatever the next shock will be a focus on resilience means that policies must be thought of in terms of proactive planning adaptability flexibility and where possible prevention rather than posthoc solutions to challenges related to the ageing of the population but they must also factor in the way that individuals are linked through families social networks environment communities nation states and also supranational entities such as the european union eu an important ambition of futures is to establish a transdisciplinary policy lab a platform where decisionmakers from research politics business and civil society engage with the project and work closely together to elaborate evidenceinformed solutions based on project results the project will have direct practical value for the actual implementation of proposed policies but will also ensure an enduring legacy this will be achieved also by futures open science practices as laid out in section 2 in the proposal which includes for instance the futures policy review and its resulting data base coproduction efforts among participants and with nonscientific audiences
flexibilization of complex ecosystems using democratic ai based decision support and recommendation systems at work

we provide a decision support system that a integrates digital twins to optimize the overall production process according multiple parameters and b democratizes decision making granting human worker and machines a say during decision making each individual demand is consolidated to achieve a decision support which is then optimizedwe combine a modelbased approaches to transparently design simulate and improve decision making b cocreation laboratory using models and physical experiments as communication media to all actors and c reliability indication of data and ai algorithmsthose models can be assessed according legal ethical security and safety concerns and in case of approval ensure that only compliant models are used for decision makinghybrid decision making is provided by combining human and machinecentric knowledge representation into a holistic model simulations on time cost quality safety or energy efficiency contribute to transparent decision making which evolves via model changes boc provides graphical modelling enabling intuitive knowledge representations for humans jotne provides data repositories for machines jr provides data marketplaces and optimizations more enable decentralized decision making with ai rwth provides both a ai and intuitive machine interaction and b social and ethical guidance for trustful decision making the use cases of the car manufacturer crf and the robot plant provider flex are challenged by human and machine interaction complex environment interactions and influence factors requiring continuous rearrangements the challenge is to consider each actors needs in a concise and complex situation still targeting an overall optimizationthe nonprofit organization omilab provides its worldwide network on modelling omilaborg and interacts with dih ppp on ai data and robotics and contribute with corresponding csa as part of their mission
smart and proactive multirat traffic steering for v2x

connected and autonomous vehicles cavs have the potential to provide efficient and sustainable transportation however road safety of autonomous driving remains a critical challenge the lack of which hinders their widespread adoption and integration into the transportation system it is thus pressing to evolve vehicletoeverything v2x communications to provide reliable and secure communications for cavs to exchange critical information for cooperative decisionmaking ensuring the road safety this project sets an ambitious goal of designing smart and proactive traffic steering across multiple radio access technologies multirat in the environment of cavs the technical approach is threefold first to ensure the reliability of communications this project unleashes the full potential of massive sensing that involves the collection of vast amounts of data from sensors deployed on vehicles and roadside infrastructure and then leverage the cooperation perception of environment for situational awareness and aheadoftime decisionmaking in v2x second it develops a security and privacy preservation mechanism to protect the integrity and privacy of the highly dynamic vehicular network as well as defending the widely used machine learning process finally relying on the 5g testbed open ran oran solution and other v2x facilities provided by some partners the final step is to implement and evaluate the performance of developed solutions which closes the gap between theory and practice the planned secondments provide partners the opportunity to test their solutions on the infrastructure possessed by other partners
scallable controller for power sources

to face the increased needs on current consumptions some new technologies are introduced in power conversion stages mainly owing to the introduction of gan transistorsfew years ago the si transistors as switches was the device limiting the performance and the market was dominated by us manufacturers in a monopoly for space application with high costs need of specific design and foundries to face the radiation environment this also lead to eu dependence to us export control restrictions the introduction of gan transistors allow to get better performances and also eu non dependence as some initiative promote european supply chain as shown in h2020 elegant ongoing project but now the main integration performance limitation is now the controller of the power stages available in the market performance limited switching frequency operation due to odevice technology most of them in the market are in bipolar technology slow power consumptionoradiation sensitivity heavy ions can cause transients that are to be filtered slowing down the performancesopower consumption of the controller itselffunctionality many functions are set owing to external parts fine analog tuning switching fthe scops scalable controller for power sources this project sets one clear and measurable main objectiveto design and evaluate the performance in space environment of application specific integrated circuit nameds scops to control several power supply phases in parallel using nondependent supply chainto do so it is necessary that scops provides the space community with1a flexible scops circuit that overcomes the limitations of existing controllers in terms of phase paralleling possibilities performance feature and radiation robustness2a fair commercialization and intellectual property management to allow the purchase of the scops outcomes at a competitive cost in front of its noneuropean alternatives for space applications
random sampling for trustworthy pooling layers in graph neural networks

graph neural networks gnns are deep learning architectures that hold the promise of durably changing our way of eg predicting intermolecular chemical affinity to accelerate drug discovery or smartly balancing power loads on the electricity grid my project focuses on pooling layers a major building block of neural networks including gnns in a nutshell pooling layers generate local summaries of the data to enable faster computations and generate discriminative multiscale representations the traditional periodicsamplingbased pooling that has proven so successful for data defined on regular grids such as time series or images becomes illdefined when the underlying space of the data loses its regularity such as data defined over graphs todays existing solutions stem from a trialanderror approach often driven by two practical and somewhat shortsighted objectives computation efficiency and empirical predictive performance the aim of my project is to add trustworthiness as a main objective in the design of novel pooling layers for gnns to achieve this i will bridge the fields of signal processing point processes and random numerical linear algebra with graph machine learning to incorporate random methods mainly random sampling and random projections into the design of pooling layers for gnns indeed randomized approaches are provably well adapted to three pillars of trustworthiness technical robustness transparency and privacy the outcome of my project will be an extensively tested theoreticallygrounded trustworthy readytobedeployed opensource gnnbased toolbox along with its user guide for practitioners it will be the first gnn architecture benefiting from the theoretical guarantees random pooling layers come with such trustworthy gnns will have an impact in the increasingly many fields in which gnns are pushing the stateoftheart including circuit chip design physics drug discovery and network neuroscience
circular lignin materials from welldefined functional building blocks

lignin is a natures wonder material that allows trees to grow vertically and have strong and biochemically resistant structures however the majority of lignin is burned in the forest industry the objective is to make a paradigm shift in the use of lignin by developing circular lignin materials with functionalities arising from welldefined nanostructures this project faces two outstanding challenges the first relates to overcoming the instability of lignin nanoparticles in organic solvents and under alkaline conditions which currently restricts synthesis of advanced lignin materials the second is to develop lignin nanoparticles and lignin fibres structurally incorporating inorganic and metal nanoparticles by overcoming these obstacles we will have functional lignin building blocks for circular vitrimer adhesives electrochemical catalysts magnetically responsive nanocomposite gels and colloidal crystals synthesis and assembly of these materials requires considerable contributions to method development that will open wholly new frontiers for sustainable lignin materials farreaching implications beyond materials science include excellent opportunities for interdisciplinary studies across environmental sciences chemical and process engineering and life sciences
genetic design of biological time in fish

every species experiences a unique paceoflife which determines the duration of its embryonic development onset of puberty and rate of aging however how these traits are scaled so differently between species is largely unknown here i propose to develop the tools to systematically study how the pace of life is regulated in vertebrates to date progress in our understanding has been experimentally hindered by the relatively long lifespans of classical vertebrate models to address this challenge i recently pioneered a genetic platform for rapid exploration of aging in the naturally shortlived turquoise killifish killifish species display up to 10fold differences in their lifespan thus providing a microcosm of extreme lifehistory adaptations here we will significantly advance the state of the art by transforming selected species into genetic models specifically we will use unbiased chemical screens to explore the molecular switch that allows killifish development to be suspended for years in a process called diapause we will then use our findings to establish genetic control of diapause and the aging processes that coevolved in this clade interrogation of the transcriptional networks in play will be made possible by developing a crispr screen platform for fish cells finally we will explore the coregulation of rapid puberty and compressed lifespan in killifish by developing multiplexed and reversible genetic approachesaging is the primary risk factor for many human pathologies thus developing a quantitative and mechanistic understanding of the pace of life could revolutionize the way we manipulate aging treat related diseases and even control complex traits identifying such new principles will also have a broader impact such as affecting developmental rates in invitro fertilization furthermore providing precision genome editing tools for fish and accelerating the generation time will greatly impact commercial aquaculture
membrane microcompartments

more than twothirds of all described drug targets are membrane proteins but only for a small fraction of these hydrophobic proteins the structure is currently known membrane proteins are inherently challenging to produce and analyze consequently in preclinical investigations their mechanism and drug interactions are often only derived from purified truncated parts of these proteins taken out of their native biological context lacking the effects of surrounding membrane components conclusions on drug mechanisms are indecisive recent advances in in situ structure determination techniques ie analysis directly within the cellular environment now have the power to overcome the limitations of classical reconstituted approaches complementary we have developed a system that may facilitate structural analysis of membrane protein drug targets and has large potential for the production of native membrane proteins an essential prerequisite for the study of membrane protein function and drug interactionswithin the scope of our proposal we will further develop our system and transfer it into pharmaceutically relevant cell systems furthermore we aim to achieve proofofconcept and assess our system with clinically relevant membrane proteins for their suitability to solve 3d structures in complex with clinical drugs as well as its suitability for the membrane protein production we are convinced that our approach will have a transformative impact on how drug membrane protein interactions can be studied and could be exploited for drug development in the pharmaceutical industry in the course of the project we will establish a plan for transforming our system into a business model and commercializing our technology
towards new treatments of psychiatric disorders a systemsoriented approach

the trepsy project aims to integrate the maj institute of pharmacology of the polish academy of sciences ip pas with leading european brain research centres in development of novel treatments of psychiatric disorders strengthen research excellence at the ip pas and empower it to become leader in other horizon europe projects to this end we will create a unique advanced research curriculum for students and earlycareer scientists who will lead future neuropharmacological research and form a cluster of institutions of excellence in the fields of neuropsychopharmacology the project will provide students and phd programme participants at the maj institute of pharmacology of the polish academy of sciences ip pas as well as partner institutes with lectures and training in emerging topics and research methodologies these activities will be organised through four advanced schools each including lectures and handso training in advanced research methods and additionally a university specialist course that will be developed by the consortium the training activities will be complemented with participation in regional science outreach events with presentations focused on brain research the importance of neuropsychopharmacologydriven research furthermore as an exploratory research project we selected the study of neuronal and molecular mechanisms involved in the actions of cannabidiol each of the partners will contribute their unique research competence including transgenic mice and rats a multiome approach to gene regulation analysis with rnaseq and atacseq advanced methods of imaging and controlling neuronal activity in behaving animals and multimodal neuroimaging methodology the planned research activities emphasize mutual benefits for all consortium partners nevertheless interactions with the three leading european research centres will have the greatest impact on research excellence at the ip pas