Dragon09/odtu_chatbot huggingface dataset:
intangible cultural heritage bridging the past present and future

intact focuses on intangible cultural heritage ie practices and aspects of culture that shape our understanding of ourselves our sense of belonging and our relationships to each other and to the tangible cultural environment as a means of bridging the past present and future to provide novel approaches to transforming society and addressing societal challenges facing humanity at these times of epochal changes intact does this by 1 developing effective methods for extracting structuring and presenting the emotional experiential and environmental 3e dimensions as formalised knowledge 2 developing transdisciplinary methods of inquiry for capturing compiling and preserving the 3e dimensions contained in human narratives 3 proposing and testing interaction techniques narrative methods and audiovisual media choices for immersive extended reality xr environments that present the 3e dimensions of intangible cultural heritage in the context of their associated tangible cultural heritage sites and 4 providing solutions that address societal challenges by utilising these immersive xr environments intact uses four selected tangible cultural heritage sites to develop its methods of extracting their associated intangible cultural heritage knowledge and human narratives which are used for creating the content of four smallscale xrbased demonstrators these demonstrators are then used in four case studies dealing with cultural social and technological changes facing citizens and cultural heritage namely cultural tourism ageing societies disappearing communities and immigration and multiculturalism each of these case studies targets a different societal challenge of importance and relevance to the multidisciplinary consortium of intact
demystifying targets in endothelial cells for antitumor immunity improvements

despite significant medical advancements cancer remains a major cause of mortality worldwide and several cancer types still lack efficient therapy in part due to resistance to traditional immunotherapy it endothelial cells ecs present an important yet overlooked modulator of tumor immunity possessing an immunosuppressive nature and proposed to contribute to it resistance studies of the host lab indeed identified immunomodulatory features in ec subsets coined imecs my central hypothesis is that targeting immunosuppressive immusup genes in tumor ecs may promote antitumor immune reaction to overcome resistance and improve the efficacy of traditional it the aim of this work is to identify novel immusup genes expressed by tumor ecs and assess the potential of targeting these genes in vivo to promote antitumor immune response i will explore in particular mystery genes with poor functional annotation ca 13 of the mammalian coding genome and an unexplored resource of potential targets to maximize the identification of novel immusup genes beyond the currently used targets in traditional it thus i will i identify and prioritize ec immusup genes using artificial intelligencemachine learning approaches and ii in silico bioinformatics coupled to a mysterygenome wide sirna screen to reveal immusup activity iii confirm immusup targets via lipid nanoparticlebased sirna delivery to generate ecspecific knockdown mice in models of lung esophageal and liver cancer and iv determine the mode of action of the most promising targets using multidisciplinary approaches my work will yield insights about previously unknown drug targets in tumor ecs potentially paving the way for development of alternative it with enhanced efficacy my prior experience in immunology and bioinformatics combined with the host labs expertise in ec dysfunction and single cell omics technologies will ensure high quality execution of this project
next generation multiplatform ocean observing technologies for research infrastructures

the ocean is a major component of the global carbon cycle absorbing about a quarter of anthropogenic co2 emissions every year modulating the rate of accumulation of carbon in the atmosphere and hence global warming increased levels of co2 in the ocean cause a decline in seawater ph also known as ocean acidification with now wellknown potential ecological consequences sustained longterm in situ observations are therefore crucial to better understand and predict the impact of climate change on ocean ecosystems increase resilience and develop sound mitigation and adaptation strategies furthermore longterm sustained in situ ocean observations are required to support environmental and climate policies such as the european green deal and related policies aiming to reach net zero carbon and achieve a sustainable blue economy to meet this challenge george will advance the global technological competitiveness of european ocean observing research infrastructures emso icos euroargo through the development and demonstration of a stateoftheart biogeochemical multiplatform observing system for characterisation of the ocean carbon system george will advance the technology readiness level of novel sensors enabling for the first time systematic autonomous in situ seawater co2 system characterisation and co2 fluxes on moving and fixed platforms these sensors will be integrated on stateoftheart platforms augmented with the latest in autonomous technology enabling new observing capability technologies methods and sops for carbon observing will be harmonised across a framework for multiplatform crosseric ocean observing from sensor to data repositories george will build capacity in erics through the provision of training in the use of new technologies and sops on data handling and reporting to staff and member organisations technology will be codeveloped between industry and erics ensuring direct route to market and potential for scalability
support for the international research consortium on animal health

animal diseases cause serious social economic and environmental damage impact on animal welfare and can directly threaten human health these diseases are transboundary so an increasing number of the major threats to the livestock industry are global so they need global solutions which can only be achieved through a coordinated research effort to address these challenges an international network of rd programme owners managers and international organisations from around 50 countries agreed to share information improve collaboration on research activities work towards common research agendas and coordinated research funding on the major animal diseases affecting livestock production andor human health this network operates as staridaz irc and has been supported by previous sircah secretariat for the international research consortium on animal health horizon 2020 20162022 sircah2 will build on the success of its predecessor in enabling the coordination of research at an international level to identify and address critical gaps in knowledge and speed up the development of new or improved disease control strategies to achieve these goals sircah 2 will provide organisational and communication support to the irc committees and members and facilitate the development of research roadmaps for priority diseasesissues sircah2 will support gap analysis activities to develop these roadmaps which will highlight research and knowledge gaps current and planned research will be mapped to identify which gaps are being address and which are underfunded this will be the basis of funding recommendations to encourage programme alignment and a focused effort on priority research gaps this will accelerate research on animal health reinforce international research cooperation and provide veterinary innovations to support continuous development of fair healthy and environmentallyfriendly food systems from primary production to consumption
reducing the impact of major environmental challenges on mental health

the environmental project will investigate how some of the greatest global environmental challenges climate change urbanisation and psychosocial stress caused by the covid19pandemic affect mental health over the lifespan it will identify their underlying molecular mechanisms and develop preventions and early interventions leveraging cohort data of over 15 million european citizens and patients enriched with deep phenotyping data from large scale behavioural neuroimaging cohorts we will identify brain mechanisms related to environmental adversity underlying symptoms of depression anxiety stress and substance abuse by linking population and patient data via geolocation to spatiotemporal environmental data derived from remote sensing satellites climate models regionalsocioeconomic data and digital health applications our interdisciplinary team will develop a neurocognitive model of multimodal environmental signatures related to transdiagnostic symptom groups that are characterised by shared brain mechanisms we will uncover the molecular basis underlying these mechanisms using multimodal omics analyses brain organoids and virtual brain simulations thus providing an integrated perspective for each individual across the lifespan and spectrum of functioning the insight gained will be applied to developing risk biomarkers and stratification markers we will then screen for pharmacological compounds targeting the molecular mechanisms discovered we will also reduce symptom development and progression using virtual reality interventions based on the adverse environmental features developed in close collaboration with stakeholders overall this project will lead to objective biomarkers and evidencebased pharmacologic and vrbased interventions that will significantly prevent and improve outcomes of environmentallyrelated mental illnesses and empower eu citizens to manage better their mental health and wellbeing
revealing pathways towards efficient and stable ecofriendly tin perovskite solar cells by photohall and surface photovoltage measurements

perovskite solar cells pscs are a promising alternative to silicon scs currently dominating the photovoltaic market the skyrocket efficiency of leadbased pscs is achieved due to their ease of production and unique electrooptical properties however lead toxicity limits the sustainability and broad application of perovskite technology environmentallyfriendly tinpscs are the most efficient alternative to leadbased pscs low conversion efficiency and stability are two challenges of tinpscs caused by defects in thinfilms and selective interfaces advanced characterisation is needed to understand and prevent sources of charge losses in tinpscsin the project hypergreen artem musiienko am will control parameters of thinfilm and heterojunctions in tinpscs and use advanced experimental methods to characterise them to improve thinfilms am will incorporate different cations in tinperovskite to understand the influence of additives on tinperovskite properties am will use photo hall effect measurement phm based on charge transport in the magnetic field under light illumination phm will give deep insight into the effect of composition variation on material propertiesto effectively collect free carriers am will use interface optimization with different selective layers to understand charge separation and optimise charge transport material am will apply surface photovoltage spv which gives valuable information on the charge separation quality at the interface using these innovative approaches am will develop pathways leading to stable tinpscs with an efficiency of over 20the host prof abate group at hzb is a global leader in the development of tinpscs with outstanding expertise in tinpsc technology am will contribute his knowledge in semiconductor characterisation by phm and spv this project aims to provide industrially relevant strategies for tinpsc improvement essential for the widespread use of sustainable tinperovskites
coastal zone environment and geosciences

coastal zones can be characterized as biodiversityrich ecosystems and places rich in cultural heritage they host important economic modern activities either inland or in water providing opportunities for the generation of renewable energies and tourism in particular for europe the coastal regions are tremendously significant for its economy as approximately 40 of the eus population lives within 50 km of the sea while almost 40 of the eus gdp is generated in these maritime regions and a staggering 75 of the volume of the eus foreign trade is conducted by seahowever the natural dynamic landscape of the coastal zones and the complexity of interests make many local communities vulnerable to hazards including climate change effects these factors create a unique constantly evolving and challenging environment sharing elements from deepwater investigations and dry land surveys therefore novel methodologies have to develop to map and monitor these areas and adjusted for operational use to the specific conditions and socioeconomic environment of each case studythe coastline project aspires to promote innovative international intersectoral and interdisciplinary collaboration in research and innovation aspects dealing with monitoring coastal zone environments through geoscience and remote sensors it aims to establish new and improved methods and protocols for documenting and analyzing the coastal zones in selected case studies coastal zones of europe it will bring together partners from the academia research institutions with the business sector in order to share knowledge ideas and infrastructures for delivering novel methodologies regarding the use of remote sensors such as satellite observations including the copernicus programme with the sentinels mission ground geophysical prospections and geographical information systems along with spatial statistics
3d scene understanding in two glances

the human mind understands visual scenes we can usually tell what objects are present in a scene we can imagine what the hidden parts of objects look like and we can imagine what it would look like if we or an object moved the first step of visual scene understanding is segmentation in which our brain tries to infer which parts of the scene belong to which objects adults can do this in photographs but photographs are not how we learned to see as infants we learned to see by moving around in a 3d world the way that scenes project into our eyes how light is affected by the optics of our eyes how our photoreceptors sample the light and how we move our eyes all provide rich information about our environment however we do not know how adults combine all this information to perceive segmented scenes and we do not know how infants learn this combination two reasons for this are that standard visual display devices cannot precisely mimic these factors and that it is unethical to manipulate these factors in human infants the goals of this project are to understand how adults use the rich information present in active 3d vision to perform segmentation and to understand how this is learned we will develop a new display device and experimental methods to study how adults segment scenes when realistic visual information is available and develop groundbreaking new technologies using advanced computer graphics and machine learning to simulate the inputs to the visual system from early development to adulthood we will then conduct in silico experiments in artificial neural networks to understand segmentation learning by systematically restricting or manipulating different factors we will compare the learned behaviours of different artificial networks to adults performing segmentation during active exploration of 3d scenes and use similarities and differences to better understand a fundamental puzzle of perception how the mind makes sense of scenes
trustworthy artificial intelligence for personalised risk assessment in chronic heart failure

cardiovascular diseases remain the main cause of mortality worldwide in particular heart failure hf poses complex challenges in clinical practice as it is associated with a significant variability in aetiologies manifestations and risks as well as in its progression and trajectories over time clinical risks of hf can vary from reduced cardiac function and regular hospitalisations all the way to cardiac events and mortality there is a need for a personalised medicine approach to tailor the care models ie lifestyle changes medications interventions to each hf patients risk profile and hence optimise the clinical outcomes artificial intelligence ai solutions trained from multisource cardiovascular data have the potential to dissect the precise characteristics of each patient and predict their likely trajectories at an early stage however existing ai methods remain a far distance from clinical transfer and adoption due to a common and key limitation their trustworthiness and acceptance by cardiologists and patients alike have not been achievedai4hf will develop the first trustworthy ai solutions for personalised risk assessment and management of hf patients the project will build on a unique set of big data repositories trustworthy ai methods computational tools and clinical results from major eufunded projects in cardiology to test robustness fairness transparency usability and transferability the validation with take place in eight clinical centres in both high and lowtomiddleincome countries in the eu and internationally ai4hf will develop a comprehensive and standardised methodological framework for trustworthy and ethical ai development and evaluation based on the futureai guidelines developed by the consortium members ai4hf will be implemented through continuous multistakeholder engagement taking into account clinical needs and patient preferences as well as socioethical and regulatory perspectives
the long arms of authoritarian states

what strategies do authoritarian states deploy to control information beyond their borders while disinformation efforts as foreign influence has received extensive attention little has been done to systematically dissect information suppression strategies by analysing the ways in which russia china ethiopia and rwanda suppress information the arm project will conceptualise identify and help address information suppression as foreign information manipulation and intervention fimi by authoritarian states domestically within europe and among diaspora communities residing in europe china and russia are selected as two major powers highly active in managing information as a part of their foreign policy ethiopia and rwanda though less influential on the global stage are some of the most engaged african states in transnational repression having substantial diaspora populations in europe their reach should be analysed and the implications of their information suppression should be understood by conceptualising information suppression as part of fimi the arm project will broaden the established approach to fimi which has traditionally only been focused on disinformation by delineating the concept of information suppression within the strategic toolbox of authoritarian regimes we will contribute to the scholarly discussions how autocracies manoeuvre to strengthen their power base with the identification of the tactics techniques and procedures of information suppression we will make a toolkit including recommendations on how to combat information suppression operations taking the risks and vulnerabilities of target groups into consideration through the lifespan of the project we will involve the defender community key actors within policy and civil society who try to detect understand and respond to threats stemming from authoritarian regimes suppression of information
goldenram eo platform supporting critical raw materials industry in europe

the goldenram gram project will provide easy exchange of accurate information on raw materials in the european union and partnering resourcerich countries for organisations engaged in the mining industry and public stakeholders the project will develop an earth observation platform gram platform leveraging novel artificial intelligence ai natural language processing in combination with advanced proprietary artificial intelligence knowledge packs aikps which simplify complex computation workflows and provide seamless access to a unique and validated combination of geological and remote sensing data domain expertise and multipurpose mapping technologies for geological and mining industry stakeholders especially the introduction of aikps plays an important role in advancing the trl of stateoftheart solutions and enabling their wider adoption among the industry and stakeholders the gram platform will be demonstrated in 6 field trials in finland 2 sites sweden romania ukraine and portugal creating a compelling value proposition for implementation across the mining industry value chains and improving responsible and sustainable supply of crms co li ree p pgms pd and pt as well as cu and ni to europe the project will increase the raw material investment potential for ukraine by promoting exploitation prospects via the gram platform therefore supporting implementation of the roadmap for euukraine strategic partnership on raw materials the consortium brings together interdisciplinary expertise fit to solve the challenges related to the building of largescale ict platforms geologic and remotesensing knowhow benchmarking market analysis business modelling and result dissemination and will include 4 academicresearch centres 5 smes and 4 endusers supported by a strong external advisory board of experts in geosciences and mining
privacy for smart speech technology

the unabated rise of smart speech technology much of which is operated by entities outside of the european union has revolutionised consumer access to information and applications using the most convenient interface of all the human voice recently however we have come to understand that smart speakers smartwatches and other voiceoperated devices may expose their users to privacy risks service operators and hackers alike can access not only spoken words but may also exploit sensitive nonlexical information contained within speech signals such as health status for nefarious purposes without the users knowledge or consenthowever innovative privacypreserving smart speech technologies may mitigate these risks and help to create sustainable business models that are well aligned with eu regulations such as the gdpr and the forthcoming eu artificial intelligence ai act therefore the psst joint doctoral training network will train a new cohort of researchers to develop these urgentlyneeded technologies using cuttingedge deep learning methods psst will focus on the suppression of speaker traits in speech signals on enhancing usability in interactions between smart devices and cloud services and on novel evaluation schemes that consider the most relevant threats the psst consortium is composed of worldleading research labs in speech processing privacy and usability and a larger number of innovative industrial partners the joint academicindustrial partnership will establish a highimpact training programme that provides doctoral researchers with expertise in speech processing machine learning and comprehensive knowledge of privacy threats and privacyenhancing technologiespsst partners and researchers will jointly create not only a unique usercentred view of smart speech technologies but will also promote innovative business models for responsible and sustainable privacyaware technologies in the eu