Dragon09/odtu_chatbot huggingface dataset:
innovative circular materials and design methods for the development of floating wind turbine components for offshore wind farms of the future

made4wind aims to develop and test innovative components concepts for a 15mw offshore floating wind turbine fwt consisting of new designs and manufacturing techniques for blades substructure and drivetrainthe main results obtained in the project will be novel fwt component design and validation at reducedscale lighter and recyclable wt blades improved tlp substructure including lightweight floater concept smaller gravity anchor and lighter tendons and improved drivetrain design by a compact generator with less rareearths and more reliable converter new material applications new blade toughening material new concrete and aluminum rebars for floating substructure new manufacturing processes preform for manufacturing blades recyclabilityreuse of composites from blades concrete from substructure and aluminum rebars new software tools novel maintenance strategy and remote control systems improved modelling tool for lcoe analysis virtual model of 15mw fwt guidelines integrated sustainability assessment biodiversity protection strategy training pathways for offshore wind local industry position paper with offshore wind stakeholdersthese innovations will jointly allow future fwt to include new circular lightweight materials minimize the impact of sea habitats increase operational availability reduce maintenance needs and minimize lcoe thus unlocking the massive deployment of 15mw floating wfs in europe and worldwidepartners expertise will be key for project success as they cover different expertise along the offshore wind value chain academia sintef aau ntnu ifeu consultancy zabala material suppliers norsk hydro fibertex wt components manufacturers acciona ingeteam indar and wt manufacturer siemensgamesa moreover in addition to partners research skills made4wind proposes a strong dissemination plan clustering with relevant offshore wind stakeholders to maximise future impacts
6g terrestrial nonterrestrial integration through an ainative architecture

6g is expected to trigger a total rethink of network architecture design adopting the new network of networks vision which promotes the integration of multistakeholder multitechnology infrastructures to this end future 6g systems will tightly integrate upcoming satellite systems and lowearth orbit constellations eg oneweb as well as highaltitude platforms haps and unmanned aerial vehicles uavs a concept termed as integrated terrestrial and nonterrestrial networking tntn however the sheer scale and heterogeneity of future tntn infrastructures is expected to create a unique set of challenges to this end 6gterrain adopts integrated communication and sensing icas as a key enabler of tntns allowing to perceive the complex and dynamic tntns through sensing the physical environment moreover 6gterrain aims to propose design and validate a novel native ai automation architecture and its associated enabling technologies and theoretical frameworks aiming for an intent 6g system with seamlessly integrated multistakeholder multitechnology eg terrestrial and nonterrestrial nodes natural language intents are adopted exploiting the breakthrough capabilities of emerging llms to automatically plan the optimal decompositions of intents into tasks and prioritise their downstream execution finally 6gterrain will build a training network to conduct topnotch research towards the development and experimental evaluation of a gamut of techniques methodological frameworks and tools that will break the barriers currently impeding the realisation of the 6g network of networks vision
droplet printable microfluidic arrays for highthroughput screening of 3d cell culture

this project will develop highthroughput 3d cell culture devices with perfusion by interfacing microfluidics and droplet printing technologies and subsequently applying them to model neurodevelopment disorders for decades 2d cell culture followed by animal testing has been the standard for therapeutic drug discovery 3d systems have the potential to recreate more faithful physiological conditions cell interactions gradients perfusion flow thus they are expected to be more predictive for efficacy and toxicity than 2d systems and minimize the use of animals however there is currently no 3d model which enables highthroughput ht and perfusion at once spheroids and organoids in plates can be ht but without perfusion pressuredriven microfluidics has perfusion but is not ht droplet microfluidics is ht but cannot handle large drug libraries and has no perfusion here we will leverage the physics of wetting and capillarity to design chamber arrays with liquidtrapping geometries which can be entirely operated by external droplet injection we will set up designs and protocols for the embedding of cells in 3d hydrogel matrices and submit them to perfusion of medium and drug including uniform or gradient conditions in each chamber we will demonstrate the ht interfacing with droplet printers finally we will apply the device to screen compounds and monitor the modulation of microglia the immune cell of the brain inflammation that affects the lives of 2 million preterm babies every year
innov82create cooperation through acceleration

collaboration fosters true innovation and success cannot be achieved by any one stakeholder in isolation this proposal will bring together all of the innovation stakeholders such as business the investment community entrepreneurs and government agencies to ensure a joined up initiative which will fully meet all of the objectives of the programme callthe vision of innov82create is to drive innovation efficiency capacity and cooperation in europe by building on the strengths of each partner actions have been identified that once implemented will deliver immediate impact while resulting in consequential longterm impact embedding cooperation within innovation and enhancing knowledge exchange locally regionally and internationally
novel probes for scanning probe microscopy

for more than 30 years the platforms based on scanning probe microscopy spm have contributed enormously in the progress of nanoscience and nanotechnology becoming a fundamental tool for specialists spanning a wide range of research fields such as materials science nanoelectronics or biophysics the versatility of these multipurpose microscopes is bestowed by the extended variety of probes available in the market used to interact with the nanoscale for this proof of concept grant we will further develop our probes and collect extended datasets of tip performance propose scalable manufacturing processes and demonstrate further capabilities of this new generation of spm probes
sense of number in invertebrate cognition

we are experimenting a novel cognitive revolution with the accumulation of evidence on the unexpected intelligence of key invertebrate species indeed abstraction faculties emotionlike behaviours social imitation or tool use among other capacities were long considered as the prerogative of largebrained vertebrates but now proven to be accessible to invertebrates although to a limited extent with this project we wish to pursue this dynamic by offering an invertebrate perspective on the evolution of numerical cognition in addition our evolutionary distance with invertebrate offers the best opportunity to compare numerical systems that evolved independently numerical cognition is indeed an ideal framework to explore the limit of what an invertebrate brain can perform with a comparative perspective thanks to historically welldefined and testable levels of complexity in processing quantities building from the established evidence of the impressive honeybees numerical skills and cephalopods general cognition we propose to explore the limit of the cognitive levels accessible to invertebrates by testing the possibility for bees and octopus to possess an abstract representation of numbers are they capable of a symbolic and crossmodal representation of quantities the proposed research program will thus offer timely decisive elements for a better understanding on the physiological and ecological constraints for numerical cognitive faculties to emerge
transforming ri organisations and advancing the era through gender equality and inclusiveness in see

the seeera project aims at driving a structural change process through the sustainable transformation of gender equality plans geps in five research performing organisations rpos and two research funding organisation rfo operating in four different south east european see countries greece albania croatia and romania involving internal and external stakeholders since the beginning of the projectthe project goal is to intensify efforts and enhance gender capacities for the implementation of sustainable geps transforming rposrfos and their respective innovation ecosystems towards inclusive gender equality ge through the development and delivery of tailored and reflexive mentoring and training programmes the project supports opening up the ge agenda beyond rpos and rfos aspiring to connect inclusive and intersectional geps with inclusive innovation thus seeera contributes towards applying an inclusive approach towards forging new research careers better integration of the gender dimension in research and innovation ri knowledge valorisation and building stronger ri communities and ecosystems in countries that often lag behind in terms of knowledge creation and innovation seeera has a geographic focus on see countries but at the same time adopts a wider range by involving partners from northern europe providing a space for participating institutions to learn from each other and reflect together on how they can make their organisations more inclusive in an effective and sustainable fashion the project ensures its successful implementation by adopting a holistic approach composed of capacity building support to develop and sustain internal gender knowledge skills and expertise mutual learning among partners a participatory codesign of mentoring and training scheme and a thorough monitoring and developmental evaluation mechanism leading to durable institutional changes
liquid phase ultrafast photoemission spectroscopy of nonadiabatic photoreactions in biomimetic systems

the chromophores of photoresponsive proteins prps are increasingly exploited in science and technology from time and spatially resolved studies of neural signaling to the engineering of fully synthetic molecular devices this justifies the increasing need for interdisciplinary studies aiming at controlling the chromophore function and achieving novel applications in this doctoral network we will combine design preparation and theory of prp chromophores operating as rotary molecularlevel devices with the novel tool of timeresolved photoemission spectroscopy trpes to unravel basic principles of their rotary functionthe most prominent prps eg retinal proteins the green fluorescent protein or xanthopsin all convert the photon energy into rotary motion by leveraging efficient ultrafast doublebond isomerizations there is a consensus that such energy conversion is mediated by conical intersections cis between ground and excited state potential energy surfaces trpes is a novel method emerging at the interface of ultrafast physics and chemistry capable of imaging the dynamics through cis thus providing a unique view on thephotontonuclearrotation transduction process more specifically novel trpes tools developed within the network will be employed to study devices based on oxindoles and oxipyrroles mimicking the greenfluorescent protein chromophores and on cinnamic ester derivatives mimicking the chromophores of xanthopsins we will investigate and learn to control these systems studying selected sets of chemical substitutions and environmental effectsthe development of an effective research protocol focused on the combination of novel syntheses trpes and interpretative stateoftheart quantum chemical methods will provide a cuttingedge interdisciplinary training arena for talented doctoral students and will be complemented by a modern softskill learning program and intense knowledge exchange between science and industry
european network for knowledge exchange and peertopeer learning between actors and stakeholders of the horse sector to improve the resilience of equine farms

the overall objective of eunethorse is to establish an active multistakeholder network in france portugal spain belgium germany romania poland finland in order to increase the resilience and performance of their equine farms to face environmental social health economic or political crises by widely disseminating practices tools and solutions that improve 1 their resilience and socioeconomic performance 2 animal welfare and health on farms and 3 the environmental sustainability of the sectorto achieve this eunethorse will i increase the flow of practical information between farmers in these 8 countries in a geographically balanced way and taking into account the differences between territories by structuring nationalhorse akiss in each country ii collect and assess grassroots solutions and practices disseminate best practices and solutions on the three thematic areas mentioned aboved replying to specific needs iii achieve a greater user acceptance of the collected solutions and best practices through crossfertilisation between all actors of the sector horse breeders advisors trainers technical experts scientists policy makers sector representatives etc and all levels local regional national and european during exchange activities allowing peertopeer learning such as workshops demonstration days training and cross visits v maintain the practical knowledge in the long term beyond the project period by sharing the full set of project results on the eufarmbook platform accessible to all by training advisors and trainers during the project on these topics by setting up a sustainable network of trainers and advisors who can continue to train equine farmers and disseminate these solutions using the training kit made available through their activities with equine farmers
machine learning for offensive computer security

despite a long series of research computer attacks still pose a major threat to the security of digital systems different malicious actors such as cybercriminals and intelligence agencies continuously develop new offensive techniques to evade and outsmart existing defenses as a result security research is in a constant arms race and needs to anticipate novel developments as early as possible however one of the key technologies of the last years machine learning has received very little attention in offensive security so far the simple question how would a hacker use machine learning is largely unexplored and there is a striking gap in current research that hinders the anticipation of forthcoming threats the project malfoy closes this gap and systematically explores how machine learning can be applied for offensive computer security by adopting the position of an adversary we investigate how learning algorithms can be used to find security flaws generate exploits and construct computer attacks to this end we combine offensive security techniques with modern concepts for discriminative generative and reinforcement learning our goal is to assess how these techniques can interface with each other and improve their performance through learning based on this analysis we become able to devise completely novel defenses that account for the presence of machine learning in the toolchain of attackers despite its offensive nature the project thus strengthens computer security first it explores an uncharted area of research and hence will substantially expand our knowledge about modern computer attacks second the project gives rise to novel and disruptive protection mechanisms which enable us to move one step ahead of attack development finally the project links two disconnected areas offensive security and machine learning and thereby establishes a new branch of joint research
open collaboration and open digital twin infrastructure for green smart shipping

dt4gs is aimed at delivering an open digital twin framework for both shipping companies and the broader waterborne industry actors to tap into new opportunities made available through the use of digital twinsdts the project will enable shipping stakeholders to embrace the full spectrum of dt innovations to support smart green shipping in the upgrade of existing ships and new vessels dt4gs will cover the full ship lifecycle by embracing federation of dt applications as well as utilising dtlf policies and related shareddataspace developments for the sector dt4gs applications will focus on shipping companies but will also provide decarbonisation decisionsupport system for shipyards equipment manufacturers port authorities and operators river commissions classification societies energy companies and transportcorridor infrastructure companies dt4gss objectives are to 1 support shipping companies in achieving up to 20 reduction in co2e with a 2026 horizon by developing and deploying realtime configurable dts for ship and fleet operational performance optimisation in 4 living labs involving shipping companies with different vessel types and establishing fully validated industry services for green shipping operational optimisation dts expected to be adopted by 1000 ships by 20302 establish a comprehensive zeroemission shipping methodology and support virtual testbed and decision support systems that address both new builds and retrofits comprising a a dt4gs green shipping dataspace for the broader shipping sector contributing to gaiax by establishing a core european industry resource that accelerates the green and digital transition of waterborne shipping and transport value chainsb simulation based solutions to retrofit ships targeting 55 reduced co2e reduction by 2030 c a smart green newbuild reference design per vessel type d virtual testbed services for reducing the cost of physical testing of gs solutions by 20
technologies for manufacturing as a service ecosystems

tech4maases derives inspiration from industrial challenges scientific inquiries and societal needs at its core tech4maases develops a network of digital twins that possess both trustworthiness and cognition allowing them to work collaboratively within a distributed value network this network of digital twins is a key enabler for manufacturingasaservice maas where production and anufacturing are offered as a service tec4maases provides a comprehensive dtbased framework for value networks which enables greater resilience and sustainability across the entire value network with continuous evaluation and monitoring of performance through a multilevel balanced scorecard system highly configurable the solution is able to respond to the varying supply and demand of individual stakeholders this flexibility makes it possible to evaluate alternatives and react appropriately while improving the understanding of the impact of external disruptions the project will deliver innovative business models that ensure adequate level of trust among the involved stakeholders and flexible adaptation of production capabilities sharing of resources and assets and coordination of individual value creation activities in the value network a complementary governance framework improves oversight and control of the underlying industrial operations governance is declined along three dimensions business governance for operational and procedural aspects and applicable resource sharing strategies data governance addressing confidentiality data sharing polices data authorizationownership etc and ai models governance how human centredai models ensure trustworthiness and ai explainability the solution will be validated in three real value networks demonstrating the improved resilience and sustainability of the solution
leveraging data and ai to empower citizens to make healthier and more sustainable food choices

wisefood aims at developing smart digital applications that will empower citizens to make healthier and more sustainable food choices it will leverage stateoftheart artificial intelligence ai techniques and tools combining the factual knowledge representation capacity of knowledge graphs with the natural language understanding generation and reasoning abilities of large language models these will allow us to build novel tools that democratize access to reliable foodrelated information and go beyond the current levels of personalization and contextualization offered by existing food recommenders the developed applications will be userfriendly and integrate seamlessly into daily life not requiring specialized it skills or devices our goal is to bridge the divide between knowledge intention and action with endtoend intelligent solutions a humanintheloop approach with food domain experts including nutritionists will be applied to ensure alignment with national policies and guidelines living labs implementing a multiactor approach are foreseen to cocreate the envisioned solutions these will take place in three different countries ireland hungary and slovenia with the latter being an already established and operational short food supply chain living lab the outcomes of wisefood will enhance the overall food ecosystem by promoting healthier dietary habits reducing the ecological footprint of food consumption and fostering a culture of wellinformed and ecoconscious citizens
additive to predictive manufacturing for multistorey construction using learning by printing and networked robotics

the negative environmental impact of construction effects of global climate change global housing shortage and rising labor costs due to a shortage of skilled workers are driving the construction industry to question traditional construction methods and push the limits of innovation in this quest additive manufacturing am technology in particular 3d concrete printing 3dcp is gaining ground in the construction industry to respond to the urgent demand for acceleration and digitization the method of automating construction by reading digital models of buildings is undoubtedly key for the construction industry to achieve environmental sustainability cost reduction and realize complex shaped designs 3dcp is thus well suited to adopting digital technologies and automating constructionthe vision of am2pm is to transform the traditional construction site for multistorey buildings into a digital and sustainable site of the future with a 50 reduction in material use and embodied carbon this is in line with the eu green deal new european bauhaus and eu digital strategy to mitigate climate change and reduce carbon emissionsam2pm will introduce a paradigm shift in the application of am in construction through a comprehensive systemofsystems approach that intertwines a multiagent humanrobotic systems that work collaboratively on site in a wellcoordinated and safe manner b computational design of components considering buildability and environmental efficiency c design of the requisite sustainable cementitious materials using granular recycled and locally available material d ai models to predict and control the manufacturing process and e the digital twin construction information backbone that enables cohesive operation of the design and production system as a whole the result would be transformational achieving a 50 reduction in material use would reduce embodied co2 by up to 29 million tons and potentially save 11 billion annually