Dragon09/odtu_chatbot huggingface dataset:
towards an understanding of artificial intelligence via a transparent open and explainable perspective

the focus of the tuai project will be on the highest quality doctoral training on sustainable the ai that is used in smart manufacturing smart cities smart healthcare and smart mobility this will be achieved by multilateral academic and industry trainings for a new generation of creative entrepreneurial and innovative researchers doctoral candidates dcs who will be able to face both the current and future challenges that are associated with the development of machine learning ml and who will be able to effectively use the latest advances in artificial intelligence and data mining in order to ensure the competitive advantage of the european producers that will use the practical solutions from the tuai project the project will focus on mlbased smart services that should first meet the customers needs but with the same importance should focus on protecting the natural environment by creating smart services dedicated for smart mobility to reduce energy consumption by smart cities and to avoid the losses and suboptimal use of resources in smart manufacturing the scope of the research will be organised under four research areas ra i time series analysis ii sensor fusion iii federated learning and iv the sustainability and trustworthiness of the ai solutions the precise challenges for each ra will be expressed by research questions rq which will be resolved by the individual dc projects the rqs will not be separate areas of research but will be complementary and intertwined components therefore it is not sufficient to train dcs in one ra and ignore another the tuai project will provide holistic research training through secondments and networkwide training activities the proposed approach will ensure excellent research training for the thirteen dcs who will be prepared for future work both in academic and nonacademic sectors and will be able to face the challenges that are associated with the different application areas
hightemperature flame retardant recyclable and low environmental footprint composite material for aerospace industry

cpreg 400 is an exceptional hightemperature composite developed by nanotech utilizing a patented inorganic resin formulation this composite is inherently nonflammable and stable at high temperatures making it heatresistant it is the first marketready inorganic composite that can withstand working temperatures of up to 400c in an oxidant environment and shortterm exposure to 500c the material can be processed using the same methods as other common prepregs including compression molding hot plate presses or vacuum bagging techniques the properties of this groundbreaking material are outstandingmaximum service temperature of up to 400c in its polymeric statesuperior fire resistance with lower smoke release and toxicity certified for high fire smoke toxicity performanceexcellent mechanical propertieshigh recyclability approximately 85 of the materiallow environmental impactlightweight being 52 times lighter than steel and 44 lighter than aluminumthe intended end users of cpreg 400 are aerospace components manufacturers who are responsible for producing equipment and parts applied in hightemperature environments nanotech will initially focus on addressing the secondary structures segment which includes interior panels doors seats luggage racks and air ducts this segment is characterized by a lighter certification process then nanotech will expand its focus to primary structure manufacturing involving nacelles hightemperature ducts fans fuselages and wings the market potential for cpreg 400 is exceptional the total available market is the aerospace composite materials sector projected to reach a value of 87 billion by 2027 and experiencing a compound annual growth rate of 12 initially cpreg 400 will be introduced as prepregs designed for hightemperature applications focusing on flame retardancy and smoke toxicity solutions this segment is estimated to have a value of 800m by 2027
selective sustainable hydrodeoxygenation of bioaromatics

the depletion of fossil resources and the requirement to significantly reduce our co2 footprint made the production of chemicals from nonedible biorenewable feedstocks an intensive contemporary research field remarkably amongst the bioderived chemicals available bioaromatics are still scarce a typical feature of biobased platform molecules is their high oxygen content which is in sharp contrast with current base chemicals obtained via a classical petrochemical approach while petrochemical industry requires efficient and selective oxidation protocols biorenewables on the other hand require the reverse ie efficient and selective reduction reactions necessitating new reaction development chemical and biocatalytic processes on biorenewable resources eg wood cloves gallnuts deliver a variety of oxygenated arenes guaiacols syringols catechols pyrogallols hydrodeoxygenation hdo reactions on these biobased arene building blocks can give access to functional chemicals suitable for the chemical industry though extensively researched selective hdo on these oxygenated arenes is still poorly developed therefore the main objective of this proposal is to develop selective hdo in catechols guaiacols pyrogallols and syringols our approach involves sustainable activation of aroh and ar oh2 with a renewable and cheap reactant and subsequent reduction with a renewable reductant as catalysts readily available and cheap base metals will be explored rather than scarce and expensive precious transition metals both homogeneous and heterogeneous catalysis will be evaluated
a holistic approach to training a new generation of scientists in marine biodiscovery

the hotbio consortium will train a new generation of earlystage scientists to take marine microbial natural products from the seabed to the bedside they will be involved in every stage of the pipeline from microbial isolation through compound purification and identification to making analogues with desirable druglike properties they will gain associated skills in access and benefit sharing intellectual property and entrepreneurship students graduating from hotbio will be in a unique position to enter a challenging labour market as they will have received multidisciplinary training at world leading research groups in academia as well as at industry partners mentorship will be provided by industrial scientists and recent graduates from the msca itn marpipethe hotbio consortium consists of eight beneficiaries from seven european countries including two members from nonacademic sectors that will host ten phd students three more phd students hosted by two swiss associated partners will be funded by the swiss state secretariat for education research and innovation in addition to secondments at the partners in europe students will also get the opportunity to do secondments in lowtomiddle income countries lmics in africa and asia to get a deeper understanding of how modern research can be done in resourcelimited settinghotbio expands a conventional marine biodiscovery pipeline by including computer aided drug design cadd chemical synthesis of optimized compounds ie medicinal chemistry target deconvolution and extensive admet profiling this will advance the bioactive microbial secondary metabolites to the later stages of preclinical development and it will also inform the decisions and priorities of what kind of compounds that should be targeted in the initial phase of the drug discovery process the downstream development will include hit compounds from earlier projects
selffeeding implants to improve and accelerate tissue healing using nutritional nanoparticles

keeping large 1cm3 living tissues alive is an unresolved key challenge that hinders many clinical and industrial applications including tissueorgan transplants engineered tissues drug screening models and lab grown meat while natural tissues within our body are continuously provided with nutrients via the blood stream engineered explanted or even implanted tissues have to rely on the slow diffusion of nutrients until perfused vascularization is achieved this commonly leads to tissue starvation which inevitably causes tissue failure the nutribone project is based on the logical yet never before explored premise that these tissues need to provide their own nutrients if the environment cannot do so this is an innovative concept named selffeeding we have surprisingly discovered that glycogen offers celldriven longterm release of physiologically relevant quantities of glucose enabling longterm implant survival accelerated tissue formation reduced inflammation and immune responses and improved vascularization as this approach is a firstofitskind we have patented it and here propose its valorisationwe propose to develop a marketable selffeeding bone implant to address the current clinical challenge of critically sized bone defects although our technology is relevant for many clinical applications we will focus on large bone defects bone is the second most implanted tissue but implant failure remains high leading to high medical cost and low quality of life for patients moreover bone implants represent the largest and still fast growing market for engineered tissues while awaiting a solution to maintain implant viability thus we can foresee a concrete pathtomarket to this end we will perform product development towards a minimum viable product establishing a roadmap for certification and market research as well business plan development to ensure a good productmarket fit including a market entry and exit strategy
decarbonising industry with renewable natural gas

the threat of climate change is pushing every sector of the economy to decarbonise its operations but certain hardtoabate sectors such as heavy industry gas utilities and shipping cannot easily switch to renewable energy sources electrification is not feasible for these sectors and switching to alternative energy sources would require huge investment in new equipment process changes and civil infrastructure this places many net zero targets at risk turn2x aims to rapidly decarbonise these sectors using renewable natural gas rng a green energy source that can replace fossil natural gas in hard to abate sectors and enable rapid decarbonisation without the large infrastructural changes needed for other solutions our patented honeycomb reactor utilises green hydrogen and biogenic co2 to create rng this is chemically identical to fossilmethane and is 100 drop in ready with existing natural gas pipelines and can be used wherever fossil natural gas is used today this means no large capex investments are required on the customer side as they can continue using their existing burners or furnaces the superior heat removal properties of the reactor simplifies the heat management system of the plant this as well as the use of the standardised modular parts and the reduction of the plant size compared to competitor plants allow us to reduce the capex of rng plants by around 30 turn2x also boasts the fastest ramp up time which is critical when using renewable energy sources with fluctuating energy loads and enables operation at times of peak energy when costs are lower overall this leads to a lower cost for rng which is competitive with biomethane today and will reach price parity with fossil natural gas in the long term in line with the repowereu plan turn2x are offering a possibility to reliably and costeffectively produce renewable natural gas within europe
high energy intelligence

understanding the basic building blocks of nature has led to the standard model a non abelian quantum field theory with particles and glue that explains within a single framework the forces between the basic constituents of matter however the description of strongly coupled emergent phenomena has remained a hard problem to solve especially with traditional methods in recent years new techniques have challenged this difficulty by showing that an optimized knowledge of symmetries and consistency conditions actually leads to unprecedented quantitative results both the conformal and the amplitude bootstrap have proven this idea to be successful a first objective of the highenergy intelligence hei project is to extend the horizon of applicability of bootstrap methods by finding better constraints and more rigorous predictions eg as path towards quantum chromodynamics qcd study the conformal window of qcdlike theories study integrable and supersymmetric theories and for quantum gravity study those theories that have a gravitational dual within string theory a second objective of the hei project specific and original is to push the boundaries of our understanding of qcd physics by obtaining the most refined partonic distribution functions of quarks and gluons in nuclear matter a third objective timely and novel in the proposed approach is to combine an artificial intelligence and machine learning training with cuttingedge research in theoretical physics having in mind neural networks designs that can be trained on partial data sets and at the same time solve the nonperturbative constraint equations coming from theory the hei project for the first time brings together many scientists working on related aspects of highenergy physics but with different areas of specializations to make a collaborative scientific breakthrough through secondments to leading research institutes in brazil canada switzerland and the jefferson laboratories
net zero pathway research through integrated assessment model advancements

the ambition to achieve the paris agreement goals has led to the realization that a rapid and full decarbonization of the economy is required involving a structural transition of the current economy and society with the rise of quantified policy targets policy packages and consideration of multiple dimensions and sectors integrated assessment models with their ability to consider complex relationships and provide calibrated numerical results have become ever more important in the last decade the prisma project aims to bring these models to the next level by focusing on four key areas of improvement namely the representation of distributional justice and efficiency innovation and finance climate impacts and landuse implications and lifestyle change and circularity in these four key areas we will improve existing largescale iams and sectorial models and consider the linking of different models where applicable two crosscutting shared themes across these areas are the improvement of the temporal and spatial resolution of the analysis and the representation of disruptive and structural change in the economy notably we will increase the spatial granularity with a focus on europe and look at the yearly and in particular near term detailed modeling of rapid decarbonization pathways the extensive model development will be codesigned through an interactive stakeholder engagement process from the beginning and focus on model openness and usability to ensure the stakeholder and policy relevance moreover prisma will focus in its application on the analysis of the spectrum of fit for 55 package policies of the eu developing focalized robust and resilient net zero pathways and assess the uncertainty around key variables and outcomes prisma will also provide key insights to international climate assessments a large number of open modelling tools and databases including capacity building and dissemination activities for all countries
advancing pandemic preparedness innovative multidisciplinary strategies for combating severe dengue

the rapid increase in dengue fever incidence poses a formidable challenge to global public health with an estimated 100 million symptomatic infections annually and a geographical spread predicted to widen due to climate change and urbanization the combat initiative a pioneering european research constellation aims to address this by leveraging advanced technologies and knowledge from endemic regions to develop innovative solutions for dengue prevention and treatment this project advances superresolution microscopy to observe rare events in hostvirus interactions and introduces novel brainonchip technology for indepth dengue pathogenesis modeling it focuses on developing innovative antiviral strategies to target dengue virus denv entry and mitigate cytokine storms through hostdirected therapy furthermore it leverages multiomics strategies to identify early predictive biomarkers of severe dengue and develop artificial intelligence tools with the aim of crafting comprehensive policies for the eus pandemic preparedness combat employs a unique experimental strategy that integrates cuttingedge technologies such as superresolution optical microscopy ai and machine learning for advanced modeling of the dengue virushost interactions and early prediction of severe outcomes by combining efforts in drug repurposing development of a brainonchip model for neuropathogenesis studies and employing nanoscale imaging for indepth analysis of the viruss impact combat represents a significant leap forward in the fight against dengue the project not only aims to enhance our understanding of the disease but also to create scalable and affordable tools for pandemic preparedness setting a new standard in interdisciplinary research to combat viral epidemics
disruptive ai project management solution to drastically reduce the costs risks of european largescale construction projects

liliai is a breakthrough ai project management solution for organizations executing largescale 250m budget projects in infrastructure construction engineering waste management other industries liliai combines unique ai models trained on reallife largescale project management data with awardwinning natural language processing technology it extracts actionable insights from textual unstructured datasets emails meeting minutes memos reports etc our trl6 tech has proven successful in claims litigation with lynkea we are currently trialling the advanced prototype with ngeat trl9 our solution will register weak signals received through realtime monitoring of project documentation it will address organizations inability to detect address problems early which leads to their aggravation costly penalties average claim is 54m globally according to arcadis liliai will help them avoid such expensive delaysfailures
reshaping sufi path in late modern southeastern europe the teachings and networks of the melmyanriya

resusee is a project that will conduct an analytical and comparative indeep insight of the doctrines and the networks of deployment of the melmyanriya an islamic sufi path that emerged in southeastern europe see through muhammad nr alarabs d 1887 teachings since nineteenth century melmya centers were established in kosovo macedonia and albania including three womenonly in strumica vranjevci and prizren the melmya represents a still littlestudied case in the field of islamic studies and see history yet its study will challenge current understandings of sufi movements that reshape the islamic tradition along different practical organizational and doctrinal lines to cope with late modern social and political developments drawing on a translocal approach and network analysis resusee focuses on melmya sufi knowledge and its circulation among the translocal networks imbued with new forms of associationism it aims to shed light on the complex interplay between mobilization and associationbuilding patterns and on the theological and doctrinal reshaping of sufism since the nineteenth century employing mainly philological and comparative historical methods resusee aims to 1 reframe the sociopolitical context within which melmya spread taking into account the profound transformations that were taking place in see societies 2 retrace and explore muhammad nr alarabs melmya mysticalphilosophicalgnostic system 3 analysing and tracing networks and channels of melmya doctrines circulation in see by employing dh tools cytoscape and nodexl software 4 developing an analytical and comparative insight framework to understand whether melmya spiritual outlook can be considered as an approach to the sufi initiatory path perceived as liberal intellectual inclusive and openminded
mechanisms of water sensing in plant roots

water stress is a pressing global challenge for agriculture particularly given hostile climate change plants have the remarkable ability to shape their roots to forage for water for instance roots growing through an airfilled space eg soil gap temporarily halt branching until reentering moist soil an intriguing phenomenon called xerobranchingin a recent breakthrough i developed an elegant bioassay to reveal how roots stop branching by employing the abscisic acid hormone when they lose contact with water mehra et al 2022 science however the mechanisms by which roots primarily sense water availability is still a puzzlemy erc project waterblind is designed to unravel this mystery and discover how roots sense the absence of water to regulate downstream branching response built upon my preliminary findings i hypothesize that roots employ ionic fluxes and mechanosensing pathways to sense water to test this hypothesis i will pioneer firstofits kind screening of ion channel mutants to identify waterblind mutants defective in water perception furthermore i will uncover the underlying molecular networks responsible for this waterblindness and ultimately investigate the consequences of this condition on soil exploration and water foraging to achieve these ambitious goals i will exploit interdisciplinary stateoftheart approaches such as nextgeneration xray computed tomography phonon imaging singlecell rna sequencing and live imaging of advanced biosensors in growing roots tipsmy innovative real world approaches will generate groundbreaking insights that will significantly advance current understanding of the molecular and cellular basis of water perception in plants the fundamental knowledge arising from this project will lay a strong foundation for future translational efforts aimed at improving wateruseefficiency and stress tolerance of crops
extending the rail network of phds in europes rail joint undertaking

the project phds eurail aims to foster collaboration and innovation in the european railway sector by consolidating a scientific community and conducting research through 10 phd positions the project is closely aligned with the goals of the eurail joint undertaking eurail and industry partners the objectives of the project include developing a research plan for each phd position with the aim of submitting at least 2 peerreviewed journal papers per position the research topics cover a range of areas such as supporting the implementation of rail technical innovations for decarbonization promoting gender equality in the rail industry exploring new education and training methods enabling railbased urban logistics improving fast night train operations studying the dynamic stability of trains over bridges enhancing safetyrelevant communication in the railway system calculating societal kpis of rail research programs the railway inclusion and accessibility for individuals with intellectual disability and ict platforms for interoperable and reliable ertms systems the project also emphasizes collaboration with industry stakeholders and participation in relevant conferences and events to disseminate research findings by expanding the academics4rail project and involving major european rail companies and academia the project seeks to strengthen research and innovation capabilities in the european railway sector