Dragon09/odtu_chatbot huggingface dataset:
digital solutions for improving the sustainability performance and flexibility potential of hydropower assets

the european energy system is undergoing a significant transformation decarbonization security of supply deployment of renewables and their integration into the market generating significant opportunities and challenges for energy stakeholders despite all energy efficiency efforts overall demand for decarbonized electricity is set to be significantly higher in 2050 than today due to the decarbonization of the heating cooling transport and many industrial sectors which can only be achieved via efficient and smart electrification hydropower is a key technology in supporting the european pathway to a decarbonized energy system and to achieve global leadership in renewable energy generation it consists a renewable and highly sustainable electricity resource and can supply the european power system with stability and valuable flexibility in addition hydropower reduces eus dependency on fossil imports and renders multiple extra benefits for society in the river basins such as support to irrigation water supply and flood control the dhydroflex project will advance excellence in research on digital technology for hydropower paving the way towards more efficient more sustainable and more competitive hydropower plants in modern power markets dhydroflex will develop a toolkit for digitally renovating the existing hydroelectric power plants based on sensors digital twins ai algorithms hybridization modelling powertohydrogen cloudedge computing and image processing the core pillars of the project will be i digitalization ie digital twins for hydro dams and machinery weather and flow forecasts cyberresilience ii flexibility ie coordination with hydrogen storage and vpp operation and iii sustainability ie biodiversity environmental issues validation will take place in real hydro plants of edf france tee poland ppc greece tasga spain and intex romania covering different geographical areas of europe
solution for body kinematics monitoring

overall goal is to use gnss as an support for imu to track whole body movements in the wild for healthcare and wellness applicationsthe gestus proposal aims to address a clear need of movement workers physicians physical therapists and athletic trainers the need is to have a tool that allows for highly accurate tracking of the kinematics of the human body for the entire duration of the activitygestus proposes a solution based on the integration of gnss and imu within adhoc wearable devices which allow for high accuracy for a long duration of time in the real environment the solution then consists of an adhoc created data processing algorithm and a cloud platform with associated communication infrastructure to automate sensor management data downloading processing itself and results fruition analysis and sharing the project and the solution it proposes is primarily aimed at remote monitoring of patients with or potentially affected by degenerative and neurological diseases such as multiple sclerosis or parkinsons in such patients it is very important to monitor with great accuracy the movements of every part of the body both for possible early diagnosis and to monitor the evolution of the disease to evaluate the effect of ongoing treatments and to plan in advance actions to mitigate symptoms
uniform inference with time series

this project proposes a novel econometric approach suited for hypothesis testing and confidence interval construction in the presence of generic time series regressors with arbitrary persistence degree the project will develop inference for a large class of regressor processes commonly encountered in macroeconomic and financial data ranging from stationary localtounitroot explosive long memory timevarying parameter and other nonstationary processes as well as multivariate systems containing mixed components the key idea behind the approach is to build a new explanatory variable from the data which conforms to a standard central limit theory even when the original regressor does not the resulting instrumental variable estimators based on this endogenously constructed instrument are shown to be asymptotically mixedgaussian regardless of the true stochastic nature of the regressor implying standard inference for any ivbased selfnormalised test the main contribution of the project is to place a large class of nonstandard processes with a wide range of dynamics and memory properties under a common econometric framework which delivers standard inference regardless of the regressors stochastic properties the asymptotic development of the procedure requires fundamental theoretical contributions such as a novel grangerjohansen type representation theory for multivariate time series with mixed stochastic components and the asymptotic analysis of time series with different persistence types the novel procedure is shown to be valid uniformly across persistence regimes and automatically delivers asymptotically correct inference without a priori knowledge of the regressors true stochastic nature in addition to its generality and theoretical coherence the approach has the added advantage of ease of implementation with closedform estimators and tests that employ standard critical values thus making it suitable for general practical application
choice necessity or chance understanding behaviour change in transport

despite various soft and hard measures as well as improved transport technologies carbon emissions from transport are not decreasing urgent will provide the knowledge base for more effective intervention strategies to this end the project examines under which individual and contextual circumstances people change their mobility behaviour and what mental mechanisms are involved in these behaviour change processesthe project uses a holistic interdisciplinary approach based on a unique longitudinal dataset over a 3year period data will be collected via a biannual survey combined with case studies including subsamples of survey participants based on the survey indepth interviews and an intelligent mobility diary app the case studies examine how people adapt their mobility behaviour in prospect and response to 1 residential relocation 2 anticipated vs sudden life events and 3 transport technology adoption applying causal machine learning methods the project will uncover which personal social technical or spatial factors are most relevant initiators of behaviour change and will specify the causal relations between involved factors informed by the case studies urgent will additionally examine rebound effects of changed mobility behaviour eg car use reduction electric vehicle adoption and reveal under which conditions and to what extent behaviour change in one area eg commuting positively or negatively spills over to other areas eg air travel food consumptionurgent applies a novel analytical strategy that crossfertilizes concepts from psychology behaviour change models human geography mobility biographies approach sociology mobility cultures and machine learning causal discovery and causal inference the project will not only fundamentally increase the understanding of behaviour change in transport but also bears the potential to lead to a breakthrough in studying causality in transport research at large
advancing areabased management tools to accelerate the protection and restoration of marine biodiversity across the european sea basins

bioprotect will provide innovative replicable and scalable ecosystembased solutions that will accelerate the protection and restoration of biodiversity in european seas in line with the eus 2030 targets and the european green deal pressures from multiple human activities and climate change are driving ecosystems degradation and biodiversity loss threatening goods and services that are essential for human life and society bioprotect aims to reduce these pressures by implementing an innovative areabased management decision support framework abmdsf the framework will include methods and capacity building to engage local stakeholders to monitor and forecast changes in marine biodiversity to map human pressures to prioritise areas for protection and restoration and to measure ecological and socioeconomic impacts of conservation actions these will be demonstrated in five sites from the arctic to the azores in the atlantic in the past nonsystemic approaches focused on siloed sectorbased management and singlespatial scales have failed to halt the loss of biodiversity bioprotects novel and flexible framework will integrate different spatial scales and data sources it will incorporate perspectives and knowledge from a wide range of stakeholders to support the implementation and exploitation of its solutions by relevant endusers bioprotect will consider whatif scenarios including climate change protection and exploitation strategies and evaluate their ecological and socioeconomic impacts the bioprotects consortium holds crosscutting knowledge and expertise with the capacity to build on existing research and innovation within the atlantic and arctic basins bioprotect will deliver impactdriven solutions to address biodiversity loss and climate change with the aim to reach relevant eu biodiversity strategy targets for 2030 including a substantial contribution to reaching the eu nature restoration targets
interdisciplinary model for understanding climate change adaptation

social scientists have generally treated climate change cc vulnerability as homogeneous across social space underestimating the serious social distortions and conflicts it produces previous research conducted by the fellow suggests that cc impact is unevenly distributed even within small social units such as indian villages west african towns or fijian islands this project is guided by a hypothesis derived from fellows earlier work economic and social relations class gender ethnicity religion caste have an overwhelming impact on cc vulnerability and adaptation practices examining one of the regions where the impact of cc is most advanced rural india the project aims to generate detailed empirical data for tracing the connections between cc and existing forms of social stratification under the supervision of leading experts in agrarian studies environment and modelling the project result will be turned into a generalisable model that can be used to understand and predict other agrarian societies experiences of cc and their differential modes of adaptation drawing on economic sociology socioecology and environmental economics the projects empirical research will take place in two villages in maharashtra india where agriculture is in the midst of an ongoing crisis caused by biophysical processes the fellow will employ mixed methods using quantitative household surveys and semistructured qualitative interviews which will be collected during two research visits to india the development of an evidencebased framework will make a pioneering contribution to our ability to address the differing ways in which different members of a society are impacted by and respond to cc the project addresses core eu objectives such as preparedness for the impact of climate change to protect lives and assets so helping confirm the eu as leading developer of knowledge solutions for the most pressing problems of humanity
how the middle class housed itself in the eastern mediterranean

mchesmed critically explores housing as a blindspot in the postwar history of the eastern mediterranean one of the worlds most volatile regions marked by war ethnic tensions migration flows and climate change the research focuses on the vast spread of midsized condominium apartment buildings during the second half of the 20th century in four prominent cities athens ankara cairo and tel aviv known as polykatoika in greece müteahhit yapımı apartman in turkey alimara in egypt and baitmeshutaf in israel these structures were the prevalent form of middleclass housing during the period under study the central hypothesis of this project is that comparative architectural and spatial analysis of this built heritage can yield valuable insights into the historical processes shaping the middle income strata their distinct identity and more broadly the mechanisms of postwar modernization beyond the context of western welfare states two cuttingedge topics in recent architectural historiography namely the proliferation of middleclass housing and development policies for the third world now offer the necessary evidence and conceptual framework for embarking on this research moreover tools for visualizing big data gis and stateoftheart technology such as remote sensing and machine learning provide unprecedented opportunities for this researchs ambitious scope to deal with extensive mostly uncontrolled privateled housebuilding and urbanization phenomena lastly the increasing engagement of architectural historians in preserving local knowledge through micro and oral history methodologies serves as a critical guide to the challenging yet imperative endeavor of documenting the lived experiences of residents particularly before the first postwar generation diminishes as crises in the region continue to erupt mchesmed is expected to provide an unconventional yet nuanced perspective of their prehistory
joint communication and sensing in 6g networks

having lost a significant share of the market to big players from the us and asia europe is no longer at the forefront of thetelecommunication industry however new services focusing on remote health monitoring industry 40 and autonomous vehicleshave created a unique opportunity for europe to regain a leading position in 6g unlike traditional mobile broadband that mainlyconnect people these emerging services not only exchange data but also critically rely on accurate information from theirsurroundings ie sensing consequently joint communication and sensing jcas is a key feature of 6g networks where devices willembed wireless sensing capabilities eg localisation activity recognition jcas faces major challenges since it demandsfundamental changes to current communication systems 6thsense follows a holistic approach to address these challenges by wp1going beyond traditional sub6ghz systems and enabling sensing in new b5g6g communication bands ie millimetrewave andvisible light wp2 addressing distributed sensing and networking challenges through architecture and protocol design wp3handling the analytical complexity of jcas by combining the strengths of classical signal processing and optimisation models withadvanced machine learning techniques wp4 transferring these research contributions to industryrelevant applications inhealthcare manufacturing and automotive sectors 6thsense is an intersectoral and interdisciplinary cluster of excellence formed byelectrical engineers and computer scientists that has pooled leading members of large eu initiatives 5g ppp industry leaders egnokia ford bosch and academic institutions eg kul tudelft princeton ucla benefitting from this consortium a comprehensivesoftskill training wp5 and a tailored dissemination and exploitation strategy wp6 the 10 phd fellows will become highlyemployable in various industries academia or public government bodies
trustworthy energyaware federated data lakes along the computing continuum

data analytics is one of the main cornerstones in many enterprise architectures and the data lake paradigm is more and more adopted to assist organizations in taking reliable accurate and fast decisions although the initial approaches to address these issues saw the data lakes as the evolution of data warehouses to be implemented onpremises cloud providers are nowadays including in their offerings platforms able to setup and run them nevertheless the increasing amount of data generated at the edge and the need to enable the data sharing among organizations are posing new challenges in terms of performances energy efficiency and privacyconfidentiality which can be properly addressed with data lakes which are deployed along the whole computing continuum as well as building a federation of such data lakesthe ambition of teadal is to provide key cornerstone technologies to create stretched data lakes spanning the cloudedge continuum and multicloud providing privacy confidentiality and energyefficient data management the teadal data lake technologies will enable trusted verifiable and energy efficient data flows both in a stretched data lake and across a trustworthy mediatorless federation of them based on a shared approach for defining enforcing and tracking privacyconfidentiality requirements balanced with the need for energy reduction
climate neutral and digitalized laser based surface functionalization of parts with complex geometry

in the coming years the european industry must assume the challenge of adopting clean and climateneutral industrial value chains producing sustainable products adopting digital systems will radically change the industry with products and services through innovative production processes in particular fully digitalised laserbased additive manufacturing methods are very versatile and thus can be implemented in different industries furthermore energy saves against conventional manufacturing and material waste but also by design optimization can be achieved however these parts also required of additional surface treatments which are nowadays energy and materialconsuming increasing costs and harming the environment in addition new concepts for increasing the added value of am parts must be developed for instance by producing advanced surface functionalities in critical applications the main objective of the clasco project is to develop a universal and digitalised laserbased postprocess route for creating functionalised am parts with complex shapeswhile the complex parts will be produced by laser powder bed fusion laser polishing and laser surface microstructuring using direct laser interference patterning will be combined in a unique manufacturing system this route will substitute several resourceconsuming processes reducing the environments negative impact the implementation will allow substituting standard environmental nonfriendly methods and even obtaining a better performance in addition different inline monitoring methods specifically plasma sensors and infrared cameras will be implemented in this way a virtual representation of the process for each part will be possible digital twin creating an entirely digitised product the projects impacts will be analysed to optimise the sustainability of processes and products across the entire life cycle
north adriatic hydrogen valley

the north adriatic hydrogen valley nahv project builds on the loi signed in march 2022 by representatives of the slovenian ministry of infrastructure croatian ministry of economy and sustainable development and friuli venezia giulia fvg autonomous region in italy contributing to the european green deal and european hydrogen strategy goalsthe projects highlevel objective is the creation of a hydrogenbased economic social and industrial ecosystem based on the capacity of the quadruple helix actors this will drive economic growth generating new job opportunities in the framework of both the green and digital transitions and by creating the conditions for wider eu replicability it will contribute to the creation of a european hydrogen economyto fulfil these objectives the nahv project involves a wellrooted partnership of 36 organizations of which 2 in hydrogen europe 3 in hydrogen europe research covering the transnational central european area of 3 territories slovenia croatia and fvg region demonstrating crossborder integration of hydrogen production distribution and consumption and exchange of over 20 of nahv annual hydrogen production of over 5000 tonsthe project will activate 17 testbed applications in their related ecosystems clustered in 3 main pillars hard to abate energy and transport sectors these will act as reallife cases for piloting global hydrogen markets moving from trl 6 at the beginning to trl 8 at the end of the project four fuel cell applications in the energy and transport sectors will be demonstrated testbeds will then be scaled up at industrial level as a replicable model contributing to the decarbonisation of the 3 territories by harnessing renewables to improve system resilience security of supply and energy independence replicability will also be ensured for the whole nahv model with the uptake of at least 5 additional hydrogen valleys in europe particularly in central and south eastern europe
challenging the standard model with suppressed b to d ll decays

the standard model sm of particle physics is one of the most complete theories in science with a hugely successful predicting power however it is unable to explain critical observed phenomena such as the dominance of matter over antimatter in the universe and thus needs to be extended rare decays of b quarks to an s quark and two leptons b to sll are very sensitive to the existence of new physics np recent measurements of their properties show intriguing deviations with respect to sm predictions that could be the first clear hint of np in decades in this project i will explore the related and even more suppressed bquark decays to a d quark and two leptons b to dll which are so far poorly known and will shed light on the type on np that could explain the observed discrepancies for this purpose my team will develop innovative analysis tools and exploit the uniquely large sample of b hadrons from the lhcb experimentthe climb project will address two specific questions are the deviations observed in b to sll decays also present in b to dll transitions are there new sources of matterantimatter asymmetry beyond the sm in b to dll processes the first will be addressed by measuring differential decay probabilities and lepton universality ratios in b to dll decays for the first timein the sm these transitions are related by the quarkmixing matrix the hierarchy of which is not fully understood np models aim to provide an explanation for the structure observed in nature knowing the properties of b to dll decays precisely is a critical input in this endeavourthe second question will be answered by measuring matterantimatter asymmetries in b to dll decays with unprecedented precision providing very strong constraints to np models predicting an enhanced quantity the main challenge of this programme lies in the study of very suppressed decays innovative reconstruction and selection techniques will be developed to access them
unveiling the role of sumoylation as novel molecular pathway in myelin biology implication in neurodevelopment and demyelinating pathophysiology

sumomyepath a new pathway to wrestle demyelinating diseasesremyelination is the process by which oligodendrocyte precursor cells opcs migrate and differentiate and mature into myelin generating oligodendrocytes ols understanding this process is key to cure demyelinating disorders of which multiple sclerosis ms is the most prevalent affecting 28 million individuals worldwide and specially women 69 sumoylation is a posttranslational modification mainly studied in neurons within the central nervous system however its pathways role in oligodendroglia and its relation with myelin pathophysiology remains to be investigated thus it is an exciting field to explore and sumomyepath will address this challenge by synergizing the applicants experience in sumoylation and myelin biology and the expertise of 1 the host groups unito in opcs biology and 2 the secondment groups ubx in stateofart liveimaging of ol lineage cells opening novel avenues of research and as consequence new diagnostic and therapeutic strategies