Dragon09/odtu_chatbot huggingface dataset:
egnss dfmc for gbas based operations

edgar egnss dfmc for gbas based operations project aims at contributing towards the development of an improved more liable and accurate gbas solution that responds on the one hand to the increasing demand for enhanced approach and allweather operations in the evergrowing volume of air operations and on the other hand to sustainability requirements towards the compliance with eu green deal objectives being gbas an enabler of enhance approach and optimised descent operations permits the reduction of noise footprints fuel consumption and emissions thus contributing to greener flights moreover this project pursues to contribute to the goal of an early dualfrequency multiconstellation or dfmc gbas adoption that allows facing ils cat iii rationalization thanks to the increased robustness and thus rendering benefits to the aviation community therefore the application of gbas alongside egnss will technically improve the current system and will have a positive impact on the economy and societyhence the main objectives of this proposal are to further develop and validate the gbas dfmc solution so as to modernise and improve air operations with emphasis on providing safety availability and robustness in all situations including during challenging to ionospheric conditions to analyse the distinguishing features of singlefrequency multiconstellation or sfmc gbas brought by the addition of galileo and to facilitate cat ii service to gast c airborne users based on a gast d ground station with egnss integration gast c and d correspond to standardized singlefrequency singleconstellation equipment able to provide cat i and iii performances respectively
data driven cost effective 5g integrated cns as a service

emerging uspace and uam concepts envisage a new generation of small highly manoeuvrable and highly automated aircraft operating at low altitude alongside existing helicopter and general aviation users coordination deconfliction of large numbers of such aircraft operating in primarily urban environments requires new communications navigation and surveillance cns infrastructure to ensure safety of passengers the public and other stakeholders while supporting complex lowaltitude operations leveraging the scalable waveforms of 5g new radio nr modern ipbased softwaredefined networking and distributed computing capabilities antennae data driven costeffective 5g integrated communication navigation and surveillance cnsasaservice proposes a flexible and resilient integrated cnsasaservice model supporting both lowaltitude piloted and uspace operations and builds upon the mature and growing family of 3gpp 5g standards including system architecture deployment models and commercial implementations antennae will apply advanced modelling to validate the applicability of 3gpp standards to deliver lowaltitude cns functions including the full range of aeronautical data services through 5g embb urllc navigation through 5gbased apnt and surveillance through emerging asur and joint communication sensing jcs concepts antennae will examine the architectural benefits of established 5g deployment models for providing distributed data services network resilience and scalability antennae will also look to the future of the 3gpp standards by examining technologies under development in the 3gpp working groups for beyond 5g 6g services finally antennae will conduct a rigorous quantitative technoeconomic analysis informed by these engineering models to assess the financial feasibility of deploying a scalable integrated cnsasaservice through a 5g access network with comparison to alternative technological approaches
intelligent personalised disease monitoring device adoc

600m people globally suffer from autoimmune diseases such as rheumatoid arthritis ra psoriasis and multiple sclerosis the symptoms can be severe causing intense pain and suffering for patients the cost of ra alone for europe is 453 billion paa growing need unlike diabetes patients for example who can measure their own blood sugar levels there is currently no method to measure disease activity quickly and accurately for autoimmune patients noninvasively at home furthermore most autoimmune diseases have unpredictable flares in disease activity despite stable medication and the causes of such flares differ between patients and are largely unidentifiableour deeptech innovation is an artificial intelligence approach to the monitoring of autoimmune diseases at home with a novel biomarker algorithm through 15 years of research in this field the founder of kaass discovery dr anita kaass has shown a key biomarker gonadotropin releasing hormone gnrh is common to several autoimmune diseases it has been scientifically shown that gnrh levels increase with increasing disease activity kaass discovery is developing a highly novel deep tech solution to allow autoimmune disease patients to selfmanage their conditions and minimize or even eliminate the symptoms of autoimmune diseases the solution which we call adoc uses a saliva sample to indicate disease activity and provide an accurate instantaneous value in line with this need it is also low cost accurate and simple to use ensuring it is suitable for home use the data collected from the device will be sent to the kaass discovery cloud for improving the predictive analytical models and giving an individualised meaningful result to the user on their mobile devicethe aims of the women techeu programme align perfectly with the needs of kaass discovery the business coaching support provided will ensure we are prepared and able to successfully commercialise this exciting technology
analysis of the volatile organic compounds emitted by extracellular vesicles for disease diagnosis

this project aims at investigating the potential of analysing the volatile organic compounds emitted by extracellular vesicles as an innovative approach for disease diagnostic extracellular vesicles will be isolated from different biological samples such as cancer cells serum urine and faeces the volatile organic compounds emitted by the extracellular vesicles will be analysed employing several techniques which will include gas chromatography coupled to mass spectrometry vibrational spectroscopy and electronic nose systems the results obtained in this project will ultimately allow assessing if the volatile organic compounds emitted by extracellular vesicles can provide additional information for disease diagnosis complementing the analysis of the biological samples from which they are extracted
women entrepreneurs for stem

the objective of the project is to develop new and lasting international interdisciplinary and intersectoral collaborations in the research field of entrepreneurial education the scientific goal is to create an evidencebased outreach intervention that 1 identifies potential candidates for entrepreneurship from among european female graduates and postgraduates in stem fields 2 strengthens their entrepreneurial intention and 3 points them to digital entrepreneurial education based on their personal profile entrepreneurship drives economic growth job creation and innovation in the entrepreneurship 2020 action plan the european commission outlines the importance of strengthening europes entrepreneurial potential however despite a range of actions entrepreneurial intentions are low in more developed economies this is especially true for women in stem fields and it is particularly true for female students although the underrepresentation of women entrepreneurs is determined by sociocultural and economic factors studies show that entrepreneurship education can have a positive influence on the development of entrepreneurial intention however little research has been conducted to design evidencebased interventions it is the aim of the proposal to create an evidencebased intervention that identifies candidates for entrepreneurship from among european female graduates and postgraduates within stem strengthens their entrepreneurial intention and points them to digital entrepreneurial education using data analysis machine learning tools and educational technology we contribute to improving the profile matching that connects female graduates and postgraduates within stem to entrepreneurship and uses algorithms to match between learner profile and intervention we believe the intervention can significantly contribute to improving european economic competitiveness strengthening human capital and promoting gender equality within stem entrepreneurship
the affective economies of emergent private renting markets understanding tenants and landlords in postcommunist romania

this proposal aims to understand through the conceptual lens of home tenants and landlords practices in hidden private rental sectors where informal transactions increase risks and hide vulnerability away from state regulatory gaze as the covid19 pandemic has undoubtedly exposed across much of the globe taking the postcommunist context as an example of an emerging and hidden prs and drawing on a specific view of home as assemblage of materials money relations and affects this research project aims to understand a hidden social world by asking why tenants and landlords engage in the sector whether their practices permit making a private tenancy home and how they construct ideas of power risk and trust nuance existing concepts of space and propose new concepts of time as they unfold in a privately rented home inform the national and international debate on prs regulation to achieve its aims the proposal takes a qualitative multidisciplinary approach creating synergies between methods developed from metaethnography critical interpretative synthesis sociology and visual studies qualitative questionnaires and photoelicitation interviews and public policy scenario building through its focus on rental housing a mechanism that generates important inequalities of wealth health and wellbeing the project aligns with the european union strategy of creating a more resilient and inclusive society and its concern for addressing inequalities
strategies and tools for incentivization and management of flexibility in energy communities with distributed resources

currently the energy sector is responsible for 72 of the eus ghg emissions this situation calls for a rapid and effective decarbonisation of all sectors reaching the sustainability targets negotiated under the green deal requires facing the green transition towards clean energy by increasing the renewable share and efficient use of energy despite the impacts on the energy production responsibility falls on citizens and governors a more active role and direct participation of consumers prosumers in the value energy chain is needed and this requires a collaborative and aggregated actuation moreover the eu need to reduce its dependence of external energy resources nowadays aggravated by geopolitical conflicts in ukr implies a significant transformation to manage the flexibility required by an of increasing renewable sourcesreschool aims to lever energy communities as formal way to aggregate active consumers and prosumers and empower them as relevant energy stakeholders reschool aims to facilitate their interaction with the grid as flexibility providers and their participation in electricity markets this will only be possible when enough citizens are engaged on these communities and enough flexibility can be aggregated this requires efforts on training and engagement campaigns supported by effective results demonstrated in the real life reschool will provide solutions to reinforce these engagement efforts based on cocreationcodesign participative strategies as well as tools designed to support energy and flexibility management and interaction of both based on collaborative and gamification strategies these tools and methods will be validated in 4 different pilots across eu including es nl se and gr results from studies developments and validations will serve to elaborate realistic guidelines and business models to support the effective creation growing and development of energy communities in the eu including policy recommendations
building virtual worlds that follow universal laws of physics

planetary climate models are essential to understanding the climate on earth while also being windows into the many climates that may exist throughout the universe however current models often fail to simulate planets that diverged from earthlike conditions as they rely on earthcentric formulations and suffer a shortage of first principle representations this severely impacts our ability to understand and predict climate change and evolution as the physical accuracy of the simulations is compromised to solve this current gap in our knowledge i will lead the development of the first planet climate simulator foundation my central role in developing unprecedented 3d planetary atmospheric models from scratch sets me in an advantageous position to successfully lead this ambitious project our goal is to use the building blocks of physical processes we know occur in atmospheres such as fluid flow equations moist physics and cloud formation and build up climate physics in a 3d model that achieves accurate simulations our novel model will address climate phenomena that remain unsolved in the solar system due to current model limitations namely the nature of jupiters chaotic atmosphere venuss deep atmospheric circulation and titans methane cycle these are major gaps in our knowledge even with more than 50 years of spacecraft dataa model based on universal physics that can reproduce the most challenging climates of the solar system is extremely valuable to evaluate earths climate model predictions our approach can strongly impact the robustness of earths changing climate simulations and the prediction of extreme weather events which are becoming increasingly more critical to our living environmentfoundations greater climate prediction capabilities will also revolutionise exoplanet atmospheric characterisation and provide a thorough theory on the climate stability of terrestrial planets essential to our understanding of climate diversity
converting facilities network for accelerating uptake of climate neutral materials in innovative products

convert2green will establish an open innovation test beds oitb that enables material suppliers to integrate their innovative circular and carbon neutral material solutions to the european key value chains clean autonomous vehicles smart health industrial iot low carbon industry and clean energy thus convert2green will provide innovative material suppliers new business opportunities in these value chains convert2green will complement the european open innovation ecosystem with services not present in other oitbs by now 1 complete ecoimpact analysis from raw material to product as a service including lca lcc safety and toxicity 2 trl4 to 7 process chains for smart textiles and processing of fiber based materials 3 trl4 to 7 process chain for electronics on plastic paper and textiles 4 pilot facilities for recovering critical raw materials from products 5 pilot facilities for processing of recycled plastics and composites 6 pilot facilities manufacturing of nanofibers and composites from biosources furthermore convert2green will be the first oitb that establishes and provides to the oitb ecosystem 1 procedures and contract models for licensing of joint ip through the single entry points 2 multilingual digital platform to integrate and jointly promote the service portfolio of all oitbs as well as to interconnect relevant stakeholders and to allow fully digital project and knowledge management and 3 novel financing models for sme combining a trust generating duediligence structure with project based investment models and crowdinvest opportunities to accelerate market entry in all value chains given above convert2green will integrate its services with the whole european innovation ecosystem and continues the series of oitb events started by safenmedtech and flexfunction2sustain oitbs to unite and jointly promote the currently 25 oitbs as a whole to european sme industry policy makersand other relevant stakeholders
resonant excitation of phonons in semiconductor nanostructures exploiting open optical cavity

phonons are vibrations of atoms in solids that play a significant role in material science and solidstate physics highfrequency phonons have gained attention in the fields of quantum technology and nanophononics their small wavelengths make them compatible with quantum nanodevices and their frequencies can surpass modern computation speeds this potential makes phonons useful for qubits quantum memories hybrid systems and elements in quantum computing networks exploring phonons and their interactions with other excitations is important for advancements in solidstate physics and quantum technologythe project focuses on using a novel experimental method based on the optical open cavity to excite and detect coherent phonons in materials from the iivi group of semiconductors we plan to grow samples with an acoustic cavity enclosed in distributed bragg reflectors which support the cavity acoustic mode by placing the sample inside the open optical cavity and adjusting its length we can sweep the energy of the excitation photon allowing comprehensive studies on the influence of photon energy on phonon generation efficiency additionally we can achieve quasiresonant excitation of phonons in the time domain by adjusting the length of the cavity in a way that the roundtrip time of the laser pulse matches the frequency of the generated phonons resonantly pumping the desired phonon frequency supported by the acoustic cavity this experimental scheme will allow us to enhance the efficiency of phonon excitation by exploiting four resonances for coherent phonon generation acoustic cavity resonance optical cavity resonance excitonic resonance and inphase temporal resonance excitationas a result of the project we expect to provide a comprehensive study on the efficiency of the highfrequency coherent phonon generation in the iivi semiconductor nanostructures obtained by innovative experimental technique exploiting optical open cavity
investigating the moral ideals and social norms of economic discrimination

do individuals consider economic discrimination rooted in statistical differences to be any fairer or more permissible than that rooted in dislike economists recognize two canonical types of discrimination that based on distaste of some groups taken as morally objectionable and that based on statistical differences between groups sometimes conjectured to be much more acceptable surprisingly the literature stays silent on the types of discrimination that individuals actually hold to be morally correct moral ideals and says little about what they collectively recognize to be morally correct social norms a clear answer is important because ideals and norms have been shown to influence economic behavior and because it is a prerequisite for welfare analyses policymaking and proper societal debate the possible application domains range from governmental policies on discriminatory practices in labor and residential markets to police search strategies and workplace training ecodisc will first develop a novel method using incentivized experiments to evaluate discriminatory behavior and underlying ideals and norms for different types of ethnic and gender discrimination then it will empirically estimate the distribution of such discrimination behavior ideals and norms using a countrywide representative sample of denmark the research is to be conducted at aarhus university under the guidance of professor daniele nosenzo with a secondment at nhh norwegian school of economics fair under the guidance of fair director professor bertil tungodden
biomimetic collagenbased scaffolds for the study of pancreatic cancer and delivery antitumoural mirna for enhanced cancer therapy

pancreatic tumours are among the most aggressive and are associated with the lowest survival rates the main reason of this is their characteristic dense fibrotic stroma which creates a perfect environment to promote cancer progression to accurately mimic the extracellular matrix ecm is challenging but is essential to understanding the interaction that occurs during malignant transformation kras mutation is the most frequent alteration in pancreatic cancer micromirna1433p and mirna216b have been shown to decrease kras gene expression and suppress tumour cell growth my overarching aim is to generate a 3d model of pancreatic cancer in which i can test the ability of a mirnaactivated scaffold to suppress tumour growth and facilitate local delivery of mirna mirna1433p and mirna216b that downregulate kras expression prof fergal obriens group in royal college of surgeon in ireland has an extensive experience with development of biomimetic scaffolds to recreate the tumoural ecm and activating scaffolds to release therapeutic molecules eg mirnas using techniques established in his group i will develop a 3d collagenbased scaffold that recreates the structure of pancreatic tumour ecm and then utilise this form as mirnaactivated scaffolds that will be used as local delivery systems in a radical new treatment for this disease i will be supervised by prof obrien and he will guide my career development plan i will develop complementary skills in project management leadership entrepreneurship commercialisation dissemination and profile enhancement acquiring advanced research competences and complementary skills i will maturate as an independent scientist enhancing my professional visibility capacity and competitiveness in the field of biomaterials this fellowship will significantly contribute to the achievement of my longterm career goal which is becoming an independent scientist leading my own biomaterials research group
conformations of high topological genus membranes

biomembranes are fundamental to our understanding of the cell the basic building block of all life an intriguing aspect of membranes is their ability to assume a variety of shapes which is crucial for cell function while membranes can bend easily their surface topology often remains constant topology is characterised by topological genus g which counts the number of handles attached to a sphere for instance g0 for a sphere and g1 for a mug over the past decades the shape of fluid lipid membranes with spherical topology g0 has been extensively explored experimentally theoretically and through computer simulations however our understanding of membranes of higher genera remains extremely limited highgenus membranes are of interest for two reasons i organelle membranes such as the ones found in mitochondria and golgi apparatus exhibit highgenus shapes and ii these structures allow for a much wider range of membrane conformations which enables a better design of biomimetic systems such as vesicles for nanotechnological and biomedical applications computer simulations have emerged as an indispensable tool for investigating complex biological systems i am an expert on membrane biophysics and computer simulation techniques since 2012 i have been developing a multiscale computer simulation scheme that is an ideal tool for exploring membrane shapes in this research proposal i will expand the multiscale scheme to characterize highgenus membranes i aim to predict different emerging shape families understand how to control and stabilize these shapes and reveal how proteins organize on these morphologiesthis investigation will yield a plethora of new data on biomembrane shapes thereby contributing to biomedical developments by providing fundamental theoretical bases for understanding cellular membrane behaviours and for the design of biomimetic systems