Dragon09/odtu_chatbot huggingface dataset:
the complexity of dynamic matrix problems

modern data analysis and optimization rely on our ability to process rapidly evolving dynamic datasets often involving matrix operations in very high dimensions dynamic data structures enable fast informationretrieval on these huge databases by maintain ing implicit information on the underlying data as such understanding the power and limitations of dynamic matrix data structures is a fundamental question in theory and practice despite decades of research there are still very basic dynamic problems whose complexity is exponen tially far from understood bridging this gap is one of the centerpieces of this proposal the second theme of this proposal is advancing the nascent role of dynamic data structures in continuous optimization for over a century the traditional focus of optimization research was on minimizing the rate of convergence of localsearch methods the last 3 years have witnessed the dramatic potential of dynamic data structures in reducing the costperiteration of newton type optimization algorithms proclaiming that the bottleneck to accelerating literally thousands of algorithms is efficient maintenance of dynamic matrix functions this new framework is only at its early stages but already led to breakthroughs on decadeold problems in computer science this proposal will substantially develop this interdisciplinary theory and identifies the mathematical machinery which would lead to ultrafast first and secondorder convex optimization in the nonconvex setting this proposal demonstrates the gamechanging potential of dynamic data structures and algebraic sketching techniques in achieving scalable training and inference of deep neural networks a major challenge of modern ai our program is based on a novel connection of kernel methods and compressed sensing techniques for approximate matrix multiplication
datadriven integrated approaches to chemical safety assessment and drug development

traditional in vivo testraditional in vivo tests are hampering the development of new safe and effective chemicals and drugs if on one hand we need to ensure that dangerous chemicals do not emerge on the other we also need to promote rapid and sustainable innovation to successfully overcome the modern challenges of humankind toxicogenomics aims at clarifying the mechanism of action moa of chemicals by using omics assays the adverse outcome pathways aop concept is also emerging to contextualise toxicogenomicsderived moa efforts are ongoing to anchor aops to molecular assays but systematic embedding of aopderived in vitro tests and integrated approaches to testing and assessment iata are still unestablished at the same time toxicogenomicsbased evidence still struggles to gain regulatory acceptance i aim to implement an integrated strategy based on stateoftheart big data science artificial intelligence ai toxicogenomics molecular assays and cell technology via a novel knowledge graph approach i will do so by developing the toxicology knowledge graph tkg an innovative data platform where the currently fragmented knowledge in the field is going to be curated and integrated the tkg will serve as a learning platform for artificial intelligence ai algorithms which will be used to 1 find new characteristics of chemicalsdrugs 2 infer associations between exposures and diseases 3 select the most relevant cell lines to study specific phenotypeschemical classes 4 find the best genes to be used as reporters for specific aops 5 define the applicability domain of computational experimental and iata models i will also establish and validate regulatoryrelevant highthroughput molecular assays to investigate the point of departure pod of exposures the archimedes project will shift the paradigm of chemical and drug development facilitating the emergence of new smarter greener and more sustainable chemicals drugs and materials
valorisation of co2 waste streams into polyester for a sustainable circular textile industry

the textile industry is the fourth largest industry in the world with the global volume of fiber production for textile manufacturing reaching 110 million metric tons in 2020 at the same time the textile industry is one of the most polluting industries worldwide with the highest greenhouse gas ghg emissions corresponding to 10 of the global emissions polyester pet is the most widely used fibre in the industry making up 52 of the global market volume no technology available today is capable of addressing the textile industrys sustainability and virgin pet produced from primary petrochemical sources remains predominant with a fossil fuel consumption of 98 mt annually which is expected to reach 300 mt by 2050 addressing the key challenges of carbon neutrality circularity cost value chain adaption and textile properties is the ambition of threadingco2 a disruptive project that will demonstrate on an industrial scale a firstofitskind technology that converts co2 waste streams into sustainable pet textiles threadingco2 aims to scaleup and demonstrate its firstofitskind technology producing highquality commercially viable sustainable pet textile products from co2 waste streams at industrial scale trl7 using a circular manufacturing approach and running on renewable energy sources the overall outcome of the threadingco2 project is a 70 ghg emissions reduction compared to existing pet manufacturing processes in addition threadingco2 will enable the creation of a european value chain for sustainable pet textiles from feedstock to final textile products in the clothing automotive and sportsoutdoor industries
hydrogen and deuterium survey of minor bodies transformative science with a purposebuilt cubesat

the advent of standardized small satellites called cubesats has made astronomical research from space more accessible than ever before the proposed erc project directly derives from the vast research possibilities offered by this platform and aims at the construction of a miniature uv space telescope designed specifically to detect hydrogen and deuterium around comets and asteroids through the ultraluminous lyman alpha transition thanks to the unparalleled sensitivity to these atoms the envisioned satellite will provide definite answers to some of the most profound problems of the near universe first it will enable ultrasensitive investigation of future interstellar objects passing through the solar system in search of their hydrogen clouds with direct implications to our understanding of orbital anomalies in the absence of detectable dust such as seen in oumuamua as well as their physical nature in general second the satellite will allow for deep investigation of hydrogen content around mainbelt comets probing waterice outgassing from these bodies with a better sensitivity than the best presentday limits the high level of sensitivity will be routinely achieved for all known objects of this class including new mainbelt comets discovered by lsst transforming our knowledge of the ice reservoir in the outer main belt finally the satellite will provide homogeneous modelindependent and selfconsistent measurements of the dh ratio for dozens of comets from different dynamical classes down to 12 mag of total brightness which is a factorofhundred improvement in sensitivity over the stateoftheart methods and a major leap in measurement reliability the dh measurements will ultimately resolve the puzzle of cometary origin of water on earth and unveil the link between presentday cometary reservoirs and their original place of formation in the solar nebula
novel nano coating process to empower the green hydrogen revolution

hydrogen is a major opportunity in the switch to an ecofriendly economy today it is produced from fossil fuels with high carbon emissions a green alternative is converting excess solar and wind energy into hydrogen via a water electrolysis process hydrogen produced in this process is very aggressive chemically so electrolyser components need protection with advanced coatings currently most widely used coating deposition methods are outdated and not scalable due to high production costs and usage of precious and scarce metals eg of the platinum groupnaco tech developed a breakthrough proprietary highspeed ionplasma magnetron sputtering technology hms that enables efficient application of various types of coatings our solution stands out with better coating quality which doubles the lifespan of electrolysers it reduces usage on scarce metals by up to 10x and ultimately lowers costs of green hydrogen
understanding performance characteristics of live attenuated vaccines for the prevention and control of african swine fever in wild boar and domestic pigs

african swine fever asf has recently transformed from an exotic disease to a panzootic threat to domestic and wild suids worldwide europe is currently facing different scenarios with front and point introductions affected wild boar and domestic pig populations epidemic and endemic situations while our traditional prevention and control strategies work well with industrial pig farms we quickly reach our limits when we have to control the disease in the abundant wild boar population or in regions with a majority of backyard farms to turn the tide and to safeguard animal health vaccines especially oral vaccines for wild boar could be the missing toolthere has been considerable progress in vaccine development and while we should continue to look for alternative approaches we must now also dare to test the promising candidates beyond simple proofofconcept studies only in this way can we generate the data base for benefitrisk analysis of whether and how current generation vaccines could be employedalong these lines this project sets out to test the vaccine candidate asfvgi177l in safety and efficacy tests after oral and intramuscular application as prescribed by international guidelines this vaccine candidate has shown safety and very good protection under laboratory conditions and has been applied in the field in vietnam as a backup option other promising candidates asfvgmgf and asfvg9gluk will be tested in initial comparative trials accompanying the prescribed tests our interdisciplinary consortium will characterize the protective immune responses target the optimization of oral immunization and model tailored vaccination strategies the data body generated in this project is crucial for benefitriskassessments at the level of all authorities entrusted with licensure and deployment of asf vaccines and for this reason relevant stakeholders will be involved from the start to guarantee full exploitation of our data
siliconrich materials for advanced semiconductor fabrication

semiconductor chips empower all modern digital technology and are an integral part of our lives only a handful of companies can produce them in their advanced forms or equipment and materials for the nanometersscale precision required for their manufacture to further improve semiconductor chips performance a process called extreme ultraviolet lithography euvl is required pibond is one of two companies globally who have innovated inorganic euvl materials meeting future needs yet the development of materials which enable the formulation chip structures below 3nm node is extremely challenging it requires extreme molecular material control and outstanding quality and there is a myriad of challenges to overcome for a successful material and process this highrisk project enables us to unlock a significant portion of advanced chips market of 500bn and sam of 3bn in photoresist materials our project is critical for the eu goals in semiconductor manufacturing chips act
child disability and family life

across the european union approximately 4 among individuals under age 16 have a disability and over 15 million schoolage children are known to have special educational needs disabilities limit children in their everyday activities and impact families in myriad ways frailife aims to comprehensively analyze the effects of a child disability on family members parents siblings and grandparents in europe using highquality data registers surveys social media innovative research designs and methods by focusing on the impact of child disability on family members life course trajectories health outcomes and social participation frailife speaks to both general family processes and the special case of europes frailest families the existing literature on families with a disabled child is scattered built on small convenience samples and often focused on a specific disease the findings are inconclusive and nongeneralizable frailifeelevates the evidentiary standard by i using a population approach which compares families with and without a disabled child and provides opportunities to uncover heterogeneous effects ii going beyond simple associations between child disability and family outcomes to establish causal pathways identify underlying mechanisms and uncover causal effects iii investigating both short and longterm consequences of child disability on families iv adopting a comparative perspective to uncover the moderating effects of institutionsand culture beyond the specific insights about the networked consequences of disability this project contributes to the field of family demography as the analysis of extremely frail families has relevance for the general functioning of all families facing adverse events frailife will bring families with a disabled child out of their invisibility offering new and important insights on their functioning characteristics and challenges while informing effective familycentered policy
tools4teams research training to design and implement tools supporting safe teamwork in healthcare

there is a large body of evidence demonstrating that effective teamwork by healthcare teams is crucial to maintain safe and effective patient care in complex care contexts complexity of healthcare is rapidly increasing due to technological innovation increasing healthcare specialisation and decentralisation of care provision teams urgently need innovative tools that support team interactions to augment their situation awareness of and responsiveness to complex healthcare situations both in centralized acute care settings and in decentralized chronic care settings there is an urgent need to deeper understand team performance in complex situations and to apply this knowledge in the design and implementation of innovative tools in training and realtime application tools4teams aims to establish a european training network to prepare the next generation of teamwork experts to contribute to the next step in safe and effective care tools4teams brings together expertise from social and technical sciences human centred design education and clinical specialties alongside nonacademic partners from technological business healthcare and education to reach both scientific and societal impacttools4teams recognizes and builds upon the transformative opportunities created by the application of behavioural sciences methodologies in healthcare and extend it with human centred design of tools as to impact upon the most challenging problems in research and delivery of safe and effective care mixedmethods designs will be applied to advance the scientific knowledge on evidencebased training and tools1 to support team interaction processes2 to integrate patient involvement in teamwork3 to support multiple team performance4 to facilitate innovative training ie virtual and augmented realitythis research has practical implications for healthcare as a whole and will benefit clinician teams and the patients for whom they care
inverse design of active matter

active matter am represents a fascinating class of nonequilibrium systems whereby continuous energy dissipation generates unique dynamic behavior for instance when active systems like selfpropelling particles spp interact in large numbers they can spontaneously align and form collective phases resembling swarms or flocks of birds in this project we seek to inverse design id ie to target and stabilize such spontaneous collective phase transitions via the development of a novel id framework we will achieve this by combining recent developments in large deviation theory ldt and stochastic manybody optimization which allow us to discover and promote desired phase behavior in a general systematic way chiefly ldt allows us to exploit the natural tendencies of the system via the quantification of rare events linking the disordered to collective phase control forces can then be introduced and optimized to make such rare events typical for example in spps this would involve tuning torque parameters to stabilize flocking we will apply this strategy to some representative am models i deformable particle systems reproducing compressionwaves in epithelium cells and ii field theories yielding arrested phase separation and fluid turbulence akin to those reported in assemblies of biological swimmers we will further provide a unified picture of phase transition in am by introducing and analyzing energetically consistent models using stochastic thermodynamics overall the proposal presents an ambitious interdisciplinary route to reveal novel strategies for id in am with technology implications in softmatter systems and to explore how energy consumption inevitably constrains the emergence of collective states in am this project thus combines the skills in am from the host with the numerical and analytical experience from the fellow setting a definitive path for the fellow to rise as an established independent researcher in statistical mechanics
scalable quantum cryptography for ultrasecure communications in metropolitan networks

luxquanta develops novel hardware for ultrasecure communications in metropolitan networks below 50 km based on quantum key distribution qkd qkd is a method for securely transmitting encryption keys using the principles of quantum mechanics and is resistant to the threat posed by quantum computers to traditional cryptography methods therefore qkd is a powerful tool for securing sensitive information in a variety of applications ranging from telecommunications to government services luxquanta is one of the only two european companies working on the latest generation of qkd continuous variable qkd and the only one with a commercially mature solution called nova lq we have won public tenders in several eu countries belgium malta finland run pilots with commercial customers telefonica santander bank nestl and lined up a promising commercial pipeline to shorten our time to market we have developed nova lq using commercial offtheshelf components however this approach makes nova lq too expensive and creates dependencies on third parties that hinder our scaleup phasetherefore in the eic project we will mature an existing trl 5 prototype of an integrated cvqkd system called miqro that will maintain the same performance as nova lq but will lower the costs and increase the manufacturing efficiency thanks to miqro luxquanta will achieve its market potential miqro will cost less than onethird of nova lqs and its gross margin will be more than double we will start commercializing miqro in 2026 by 2030 miqro will contribute to over 75 of luxquantas net profits in the period 20262030 luxquanta will have over 225 m in cumulative revenues and 47 m in net profits luxquanta is a spinoff from icfo a worldleading research center on quantum technologies the company was founded in 2021 and received seed funding of over 1 m from private investors our technology is patented and we have a worldclass team comprising 22 employees
wind as main propulsion by orcelle

in the orcelle project we will develop and demonstrate a solution for wind as main propulsion with wind as main propulsion we mean an energy efficiency gain of more than 50 as an average saving in full year operation under ideal sailing conditions the energy efficiency gains are close to 100 engines are only used in situations with insufficient wind resources for manoeuvring and increased ship safetyorcelle builds on several large previous projects where we have worked to build simulation tools wing systems and initial designs of a prototype vessel in this project we combine improvements to the simulation framework and wing systems by building two physical demonstrators a 1wing retrofit targeting 10 efficiency gains and a multiwing newbuilt demonstrator targeting 50 efficiency gains overall the demonstrators are roro pctc vessels that will operate in a transatlantic route transporting cars and other cargo we have an extensive set of sensor systems onboard the ships which will allow them to function as research vessels to validate improve designs simulation tools and prototype designs of ship wing systems a tailored dynamic weather routing software and service will be developed to optimize sailing performancethe project is a strong opportunity to combine the investments needed to get full scale demonstration and data capture with advanced models and tools for wing propulsion vessels the project coordinator is wallenius wilhelmsen a world leading roro logistics operator with some 130 roro vessels in global service beyond the demonstrator we use the models and tools to develop advanced conceptual designs and operational plans for multiple vessel types tankerbulk carriers shortsea vessels containerships cruise and ferries this forms the basis for our dissemination exploitation work to enable a largescale shift towards wind as the main propulsion on a very high percentage of vessels relevant for 80 of the world fleet
dynamic system strategies for climate social tipping points

society is currently struggling to manage a complex set of socioecological challenges related to climate change solutionsrange from reducing our consumption to novel technology used to decouple the economy from its impacts regardless of thestrategy materialising the green transition into a low carbon society means crossing a social tipping point stpan stp occurs when the collective action of a population reaches leads to wideranging systemic change stps can betriggered by bottomup approaches like consumer boycotts or topdown interventions like policies tax disincentives andtrade agreements the problem is that so far stp have only been described qualitatively and the mechanisms beyond theiremergence remain poorly understoodthe overall project goal is to provide a deeper understanding of which types of change allow society to move towards a moresustainable status specifically by unveiling the role of social tipping points in reaching sustainabilityi intend to use system dynamics sd to study social tipping points quantitatively sd is a modelling approach to simulatefeedback loops between variables in a system sd is a perfect fit to the quantitative study of stps for two reasons first it isa flexible tool to model coupled human and natural systems chans whereby ecological processes exhibit changes overtime under the influence of human drivers second it allows one to determine when changes in elements of the system leadto the crossing of a tipping point and to a different system configurationmy combined expertise in chans and sd supported by my supervisors background in sustainability assessment make usan ideal team to conduct this research not only that this fellowship will improve my research profile providing a steppingstonetowards my career goals