Dragon09/odtu_chatbot huggingface dataset:
cultivating leaders for innovative coatings and additive manufacturing applications

too often great research ideas as well as talented researchers from europe are acquired by noneuropean players who turn them into impactful innovations whose economic benefits are realized outside the eu in addition the innovation divide between the widening countries and the other member states persists patent applications per million inhabitants not reaching 15 of the eu benchmark the problem of the inability to transform the potential of basic research into the development of commercially viable innovations thus becomes a serious obstacle for the sustainable economic development of countries such as the czechia poland and slovakiain response the clicam project will cultivate participating era talents into leaders who will make innovation happen through intersectoral collaboration the innovation leadership provided by era talents shall transform participating research organisations from widening countries into innovation beacons turning basic research into sustainable prosperity in fields of coatings and additive manufacturing in doing so the project will create an ri ecosystem contributing to the development of relevant key enabling technologies across three domains critical for europes technological sovereignty advanced manufacturing advanced materials and lifescience technologies the actions of the consortium will concern three pillars of innovationi people crosssector secondments and innovation leadership trainingii processes reintegration actions and benchmarking initiativeiii infrastructure two virtual test bed ecosystems for better use of existing research facilitiesthe longterm impact will be to strengthen human capital base in ri qualified personnel for impactful innovation initiate technology transfer activities patent applications licensing transactions contractual research and generate future rd investments intersectoral research projects virtual test bed ecosystems spinoffs
distributed ledger technologies and userdriven automation towards selfsovereign mobile data access in beyond 5g networks

towards the forthcoming transition to a fully connected world eg internet of senses digital twins support of connected intelligence requires service advertisement discovery negotiation and management that goes beyond the complexity and scalability that existing technologies and subscriptiondriven mno processes can handle in beyond 5g b5g networks cyberphysical assets and intelligent end points will be capable of translating current service requirements to comprehensive technical specifications dynamically eg qosqoe management per service chunk as well as request for full customization of their service terms in line with current availability of tenantsresources and their application requirements distributed ledger technologies dlts hold the key for natively disintermediated costefficient and anonymous b5g communications enabling transparency and trust to be established across the integrated dlt radio access and core network continuum the sovereign research programme aims to fuel artificial intelligence ai with dltbacked data in order to innovate the b5g service chain and the b5g protocol stack towards the support of fully decentralized instantaneous and anonymous resource trading across the b5g network ecosystem end terminals infrastructure ott service providers etc sovereign aims to empower intelligent end points in b5g networks to gain full control of their identities connectivity sessions service terms and shared data upon accessing b5g spectrum antennas network slices and services to this end sovereign will conceptualize and develop a modular endtoend service architecture integrating dltempowered service provisioning fully decentralized aaa operations forwardthinking protocols for selfsovereign identity management and anonymitydata privacy preservation as well as userdriven aienabled mobility management and traffic steering over joint dltb5g system infrastructures
linking synchronic and diachronic analysis of paradigms

speakers of even highly irregular inflecting languages can usually produce all forms of all lexemes eg do does did how they can do so on the evidence of skewed and partial input is known as the paradigm cell filling problem the increased availability of large inflected lexicons and computing power and tools to assess celltocell predictive uncertainty have enabled us in recent years to automatically measure multiple aspects of paradigm complexity and structural similarity unfortunately this quantitative turn in morphology has been almost entirely limited to synchronic analyses this project seeks to harness the power of novel quantitative methods eg information and set theory bayesian models for the study of paradigmatic change as well the focus will be on romance verbs as the most historically documented and bestunderstood inflectional system worldwideregarding synchronic variability i will integrate the best and largest extant inflected lexicons in the family 5000 complete verbs for the 5 largest romance languages and latin all forms will be annotated for lemmalevel and celllevel cognacy to produce a reusable and expandable panromance etymological inflected lexicon turning to diachrony one of the greatest obstacles to analyzing morphological change is distinguishing it from regular sound change given the large number of words and changes it is impossible to derive an optimal chronology of sound changes by hand i will therefore write software that applies sets of ordered sound changes automatically to large inflected lexicons eg of latin to derive expected forms comparing these to actual forms will reveal where morphological changes have occurred historically and enable us to explore what the best predictors are of analogical change frequency predictability meaning etc this will allow us to evaluate more tractably competing hypotheses of phonological and morphological change and trends of change
getting ahead of landslides understanding social and environmental interactions to anticipate future urban landslide risk

global landslide casualties will rise due to greater exposure lack of practical measures and informed policies addressing growing landslide risksglobal urban population has grown from 30 in 1950 to about 50 today and will likely reach 68 by 2050 increasing the number of people exposed to landslides to 90 million from todays 65 million this surge in the urban population and associated landscape modifications often unplanned exacerbate landslide risk especially in the tropics for example informal house construction could reduce slope stability besides exposing inhabitants in parallel anthropogenic climate change could double landsliderelevant rainfall extremes increasing landslide hazards essential interactions among urbanisation demographic composition rainfall and landslides are wellknown yet traditional risk assessments ignore feedback between these risk drivers and discount their future states hampering proactive risk management due to their focus on historical observationsurbanslide aims to unravel the complex shaping of landslide risk by studying causal interactions between societal environmental and urbanisation risk drivers intending to get ahead of landslides urbanslide will develop a hybrid model integrating processbased and statistical models both informed by empirical knowledge on socialenvironmental interactions a key emphasis is on anticipating the diverse human actions shaping landslide riskscapes eventually urbanslide will quantify potential future landslide risk in the rapidly expanding tropical urban centres to facilitate informed decisionmakingurbanslide will fill the fundamental knowledge gap regarding the dynamics of landslide risk emerging from the intricate interplay of the environment and society the derived quantitative evidence will notably support the design of propoor urban landslide risk reduction practices by highlighting the scale and priority regions of future landslide risk
retrieving novel textile solutions from marine and terrestrial biomass

texmater aims at producing novel cellulosic fibres and bioformulations for textiles finishing using underutilised biomass resources and wastes from agricultural practices and micro and macroalgal production typically rich in cellulose and other bioactive compounds and postconsumer home textiles as an extra source of cellulose these functional and sustainable solutions will be further used in prototypes for fashion and home textiles marketsthe project covers all steps required to produce novel cellulosic fibres and functional textiles for the envisaged markets from the obtention and transformation of raw materials for application in textile production processes to fibresyarns production and bioformulations development at laboratory pilot and industrial scales ending with ecodesign and prototypes manufacture to ensure recyclability and circularity of the developed solutions and an efficient uptake of the products by the consumer the development of texmater products will be designed considering promising endoflife eol alternatives and also functionality safety environmental sustainability and social and economic benefits for consumers consumer behaviour studies and raisingawareness actions are also planned thus contributing to increase consumers acceptance for the developed productsby incorporating biobased resources and promoting the upcycling of postconsumer textiles texmater will increase the competitiveness of the textile clothing industry tci significantly reducing the negative environmental impacts commonly associated to this sector 1 the intensive use of synthetic fibres virgin cotton and woodbased cellulose whose production is responsible for high co2 emissions water consumption and contamination and inappropriate forest management respectively and 2 the overutilisation of synthetic dyes and chemicals in textile finishing processes which are typically rejected in textile wastewaters and recalcitrant
computational design of synthetic antibody repertoires for accelerated therapeutic discovery

synthetic human antibody repertoires are an important source of therapeutics however antibodies often exhibit undesirable developability liabilities such as low stability solubility and polyreactivity that limit their potential as drug candidates cadabre will design nextgeneration repertoires comprising billions of diverse human antibodies that exhibit excellent developability properties with the following aims1 repertoire design we will use our newly developed combinatorial rosetta atomistic design paradigm to select human germline genes and design h3 multipoint mutants these will combine into billions of diverse lowenergy and foldable fulllength antibody variable domains for expression in a phagedisplayed repertoire the repertoires will comprise hundreds of possible germline gene combinations increasing the structural diversity relative to existing repertoires and the odds of obtaining diverse antibodies toward any antigen2 learning developability principles highthroughput screening will identify heatstable antibodies that are not polyreactive data from deep sequencing will be used to train an aibased predictor of these properties that will be used to improve the repertoire and rank antibody candidates we will iterate repertoire design screening and learning until we converge on a repertoire that exhibits excellent properties3 verifying relevance to therapeutic discovery we will select antibodies that target antigens that represent relevant drug targets verifying that the antibodies exhibit high stability affinity and developabilitycadabre combines the strengths of our proteindesign methods generating stable antibodies and phagedisplay screening unbiased binder selection it will deepen our understanding of the biophysical underpinnings of antibody developability develop new methods for ranking drug candidates and generate new repertoires that will accelerate the discovery of lifesaving therapeutic antibodies
6gdali 6g data and ml operations automation via an endtoend ai framework

one of the key enablers of 6g is undoubtedly the native support of aiml at all the system levels components and mechanisms from the orchestration and management levels to the lowlevel optimization of the infrastructure resources including cloud edge ran core network as well as a transport network despite the opportunities there are several gaps that hinder the adoption of aiml in 6g such as the lack of extensive and highquality datasets that are required to train the models on the other hand ai model testing and performance evaluation in a representative staging environment by emulation or real deployment is also challenging without access to an endtoend 6g testbed or representative digital twin environment to this end 6gdali aims to deliver an endtoend ai framework for 6g structured in two interdependent pillars 1 ai experimentation as a service via mlops and 2 data and analytics collection and storage via dataops the 6gdali dataops pillar provides the mechanisms for preparing clean and processed data that are stored within a 6g dataspace and are made available for training and validating machine learning models as a service a part of the mlops pillar the endtoend framework also delivers continuous monitoring drift detection and retraining of models finally 6gdali will deliver open datasets a 6g dataspace for dataset storage and secure sharing and a digital twin testbed for data generation on demand
an innovative and versatile additive manufacturing process dynamic molding

3d printing technology is marred by various challenges including but not limited to longer production time restricted design production wastage and also lack of materials compatible with 3d printing device 3deus dynamics is designed to accelerate innovative technology disrupting the 3d printing process to push the limits of manufacturing by combining the advantages of injection molding and 3d our dynamic molding technology is a new radical concept of additive manufacturing am in which the building environment is composed of a controlled granular phase powder behaving like a dynamic molding system in which manufacturing materials inks are dispensed our technology has successfully produced silicones solutions for medical industry and personal medical equipments the fund from eic will be utilized to finalize the development for silicone extrapolate to other materials and accelerate the commercial development
twinning approach for computational mri technology and innovation excellence in turkey

this project will uniquely combine the skills of european physicists engineers and clinicians to create the consortium twinning approach for computational mri technology and innovation excellence in trkiye tactix tactix aims to enhance the scientific excellence and innovation capacity of bogazii universitesi bu dr e ztrk ik trkiye in the field of computational magnetic resonance imaging mri through a collaboration with two leading european institutions fraunhofer gesellschaft zur forderung der angewandten forschung ev fraunhofer prof dr m gnther germany and the stichting amsterdam umc aumc prof dr f barkhof the netherlands tactix aims to elevate bu to the level of the other two tactix partners and create a longlasting collaboration through education mentoring and a joint research project in line with the goals of the work programme topic twinning bottomuptactix will design an mri research and development program for msc and phd students and integrate it into the teaching platform of the european university neurotecheu of which bu is a partner tactix will organize summer schools winter workshops and research visits for ecrs additionally exchanges and mentoring will enhance the research excellence and management capacity of bus senior researchers and administrative staff tactix will organize a joint research project on multiple sclerosis a chronic yet incurable disease affecting over 400000 individuals in the eu tactix will implement a novel mri method to detect more subtle bloodbrain barrier bbb integrity changes than the current clinical mri protocol allows bbb mri could serve as a biomarker for monitoring insidious episodes of progression independent of relapse activity potentially allowing for earlier intervention to preserve cognitive function tactix will widely engage stakeholders via peerreviewed publications conferences a project website social media and podcasts for lay audiences including ms patients
highspeed time resolved fluorescence imaging with no pileup distortion

the overarching goal of hrmes is to establish a new methodology for timeresolved imaging by means of timecorrelated single photon countingtcspc since its debut in the literature the potential of tcspc as noninvasive ultrasensitive and extremely precise imaging tool was manifest numerous applications have benefited from it so far but a key limitation still prevents its wide use in many other crucial applications the speed of a tcspc acquisition chain must be kept lowfew mcounts in the best case to avoid distortion due to pileup of events up to now researchers in this field have tried to work around this limit mainly by posing multiple channels in parallel but still facing severe limitations mainly due to efficiency fill factor precision linearity and readout complexityi propose an innovative methodology for removing all constraints on tcspc promising a change in the paradigm of how tcspc systems are conceived and how timeresolved measurements are carried out to achieve such an ambitious goal a radical change is necessary i expect to develop a comprehensive mathematical model showing that pileup distortion can be avoided with any combination of single photon detector and laser excitation power if additional picosecondprecision information on the status of system in each time bin is acquired at runtime i will develop ultrafast electronics for single photon avalanche diodes to move from theory to the real experimental world moreover i will empower the new constraintless tcspc by developing an innovative computational imaging framework opening the way to the realtime acquisition of 4d images nextgeneration tcspc systems based on the hrmes methodology will allow the exploitation of this powerful tool in crucial applications such as for example intraoperative and neuron imaging where an ultrafast but still linear acquisition is necessary to enable complex operations like imageassisted brain surgery and spike analysis of neurons
revealing complex strain patterns and dangerous loads using cholesteric liquid crystal elastomers

the internet of things iot industry 40 and the increased availability and performance of sensors have led to new generations of smart products that can communicate realtime status information improving energy balance increasing safety and opening for better more seamless experiences for consumers mechanical sensorsoften measuring strainare key components in many scenarios however current technology typically employs pointbased or onedimensional 1d strain sensors of resistive piezoelectric or optical fiber type with low spatial resolution one sensor one value giving limited information about complex deformations and even missing dangerous strains slightly away from the sensor there is thus a need for new solutions that offer 2d distributed strain sensing with high resolution we recently proposed two new concepts for nonelectronic strain sensing both based on the mechanochromic response of cholesteric liquid crystal elastomers clces changing colour in response to mechanical deformation the value proposition of reveal comprises simple and scalable procedures for making clce sheets of large size and fibers of arbitrary length which exhibit excellent local mechanochromic response from red to violet upon strains of up to 200within reveal we will produce clce sheets and fibers and assess their application potential for instance in structural health monitoring of the built environment smart clothing and sports gear the challenges we wish to take on in reveal are ensuring consistent and tuneable relaxed colour with sufficient time stability of our clce sheets and fibers allowing adjustable and welldefined diameter of the clce fibers reducing tackiness of the fibers thus enabling easy manipulation and processability at large scale ensuring strong fullarea bonding to each relevant target surface of the clce sheets and assessing the usefulness in four specific target applications two for each clce type
towards absolute safe and sustainable biobased textile

the textile value chain comprises a multitude of materials a wide variety of end users and challenging final applications there is a shift towards a more sustainable textile value chain but it is slow and needs more innovative technologies to combat challenges such as low recycling rates substitution of substances of very high concern and chemical pollutants the project towards safe and sustainable biobased textile biosustex has the objective to demonstrate rapid development of several key technologies which will have a significant impact on the textile value chain a need highlighted by key industrial partners within the consortium focusing on cotton and cellulosic textiles biosustex targets increased recycling rates and substitution of harmful compounds by i delivering an optimized cellulosic fiber recycling process for dopedyed manmade cellulosics ii develop efficient and sustainable preprocessing techniques for removal of elastane dyes and impurities from postconsumer blended cellulosic textile while avoiding potential toxic degradation products during processing iii develop a biobased pfasfree waterrepellent coating based on an innovative methodology with temporary surfactants and iv developing removable biobased pvcfree print formulations significant improvements in these key technologies in accordance with the safe and sustainablebydesign ssbd framework are expected to notably improve the sustainability of the textile value chain further biosustex will not only yield technical solutions but respond to the industry needs of rapid assessments methods by v further developing analytical methods and prediction tools related to toxicity evaluation vi building a novel decision support software tool implementing the ssbd methodology and vii creating a database compiling all the data generated in the previous stages which ultimately supports systemic sustainable innovation in the textile value chain as a whole