Dragon09/odtu_chatbot huggingface dataset:
data usage control for empowering digital sovereignty for all citizens

driven by the growing concern on the usage of personal and sensitive data in the internet duca aims at providing a framework to empower european users and organizations to take control of their data thus easing confidentiality and personal data protection including both personal data of citizens and confidential data produced by dataenabled organizations this unified framework of security and privacyenhancing solutions incorporates a set of building blocks to support the development of a modular architecture and reference implementation that will also include techniques for measuring privacy risk exposure to be general and flexible the main components will be designed as platform independent to ensure the compatibility of the duca framework with the many architectures and deployment models of the ioein order to achieve this duca has the following concrete objectivesobjective 1 to build a flexible and easy to use distributed framework for managing data sharing agreements which will empower users to control the usage of their dataobjective 2 to develop and integrate several security and privacy enhancing technologies and to tailor these to the specific needs of the duca platform and use casesobjective 3 to deploy and validate the overall distributed data usage control framework in several use cases within the duca consortium we have identified the following three use cases as relevant samples to showcase our framework smart energy usage control for big data and artificial intelligence and collaborative mobility several stakeholders will benefit from the awarding of duca including the seconded staff members who will increase hisher knowledge and career opportunities beneficiaries will improve their research and innovation activities and overall society will gain both socially and economically from advanced data protection mechanisms being developed
from supramolecular to covalent boron clusters membrane carriers

conceptually new synthetic membrane transporters constitute a key challenge for supramolecular chemistry and materials sciences to date the transport of hydrophilic bioactive substances across membranes has exploited the amphiphilic character of carriers and cargos such as in lipids or other cationic amphiphiles however amphiphilic molecules face limitations due to intrinsic features such as toxicity associated to their detergentlike behaviour and their tendency to aggregate this year it has been described that superchaotropic boron clusters can transport a range of hydrophilic chemical substances across lipid membranes and inside cells this new concept supports that the chaotropic effect can guide the design of an entirely new class of membrane carriers however until now boron clusters have only been used as noncovalent carriers of the cargo of interest the main objective of this action is to investigate for the first time the covalent introduction of superchaotropic substituents into prototype peptide sequences and evaluate their potential to be selftransported across membranes a selection of simple anionic cationic and hydrophobic peptides will be equipped with boron clusters modified amino acids and screened in model membranes and in cell assays unknown concepts and revolutionary molecules could emerge from this initial study for example the introduction of anionic boron clusters into cationic short peptides could give rise to a new class of strongly hydrophilic zwitterionic selftransported biomolecular scaffolds we also suspect that switching hydrophobic for anionic chaotropic residues will decrease aggregation propensity but increase membrane transport efficiency of amphiphilic bioactive peptides this new application of chaotropic cluster will impact the field of membrane transport by using more controllable nonaggregating and less toxic synthetic vehicles
hydropower infrastructure in andean headwaters combining observations and remote sensing to analyse environmental impacts

hydroelectric power is a popular alternative to burning fossil fuels especially within the amazon river basin however no single hydropower installation is without any environmental impact by damming a river significant alterations do occur in the hydrological connectivity which reverberate in the rivers morphological state and physicochemical conditions moreover consequent changes in the structure and functioning of the aquatic community have a tendency to negatively affect various ecosystem services thereby putting local societies at risk and undermining the goal of sustainable development various qualitative global assessments have certainly helped illustrating opportunities and threats but have failed to be compatible with local management needs and ecological perspectives therefore the aim of this research is to monitor analyse evaluate and illustrate the impacts of reservoirbased hydropower infrastructure on the morphology hydrology and quality of andean headwaters within the amazon river basin by combining i remote sensing ii processbased hydrological modelling and iii water quality assessment based on field campaigns with a high temporal resolution additional focus is directed at the interaction with climate change including the contribution through emissions of greenhouse gases field measurements and the challenges under future climate conditions modelling to do so the paute river basin ecuador is selected as study area to i overcome the local data scarcity ii develop a protocol for evaluating similar systems and iii preserve the uniqueness of these headwater ecosystems project activities and obtained results will be publicly accessible and continuously disseminated online and inperson as such this research will increase local and global understanding of and reduce the environmental impacts associated with reservoirbased hydropower installations
dynamic network toolbox for datadriven model learning and diagnostics

increasing demands on the safe and efficient operation of engineering systems require the ability to model monitor optimize and control complex dynamic systems that are spatially interconnected as networks of dynamic subsystems examples can be found eg in distributed smart power systems industrial production processes transportation networks biomedical systems etceteraoperational decisions are being made on the basis of models and data while keeping the network models uptodate over time is key for the ability to guarantee safe efficient and robust operation while sensor data is playing an increasing role as a basis for modeling diagnostics decision making and predictive maintenance there are currently no standard software tools available for data analytics and machine learning where effective use is made of the physical interconnection structure of the constituting subsystems the results of the erc advanced research project datadriven modeling in dynamic networks 20162022 will be translated into an effective general purpose gui supported matlabbased toolbox for data analytics including datadriven dynamic modelling and diagnostics for the situation of spatially interconnected linear dynamic systems the scientific methods and algorithms will be turned into into effective workflows to be used by engineers researchers and students for applications in a variety of engineering domains a professional software architecture and first steps of an implementation have already been realized the project will be guided by stakeholders from industry among which mathworks inc asml and abb who will also be involved in the development of use cases parallel to this project the research into effective methods will continue allowing to overcome shortcomings in the current tools that might appear a further plan for exploitation of the toolbox will be made by the end of the project and will be dependent on the proofofconcept evaluation
assessing longterm trends in the vegetation of european habitats and evaluating the effectiveness of protected areas

across most of the globe ecosystems are being transformed degraded and fragmented in europe more than 30 of terrestrial habitats have been assessed as threatened and the extent to which existing protected areas effectively safeguard biodiversity is currently debated halting biodiversity loss ensuring current and future provisioning of its associated benefits and protecting natural habitats are core priorities of worldwide conservation agendas eg the un sustainable development goals or the eu 2030 biodiversity strategy to achieve these goals assessments of biodiversity changes through time are essential especially if accounting for multiple diversity facets and for different levels of biological organization resurvey studies of vegetation based on the resampling of historically surveyed vegetation plots are increasingly used as a costeffective means to detect temporal changes across many ecosystems the recent availability of longterm vegetation datasets spanning across large geographical areas and multiple ecosystems offers an unprecedented opportunity to quantify biodiversity change efficiently and across previously intractable spatial extents in light of these considerations vegtrends aim to i provide a multihabitat assessment of nonrandom temporal vegetation changes accounting for multiple diversity facets taxonomic functional phylogenetic and different biological levels community and species
egnssbased visual localisation to enable aaapnt in small devices applications

satellitebased pnt is a fundamental infrastructure of the eu its protection and improvement are strategic as other infrastructures eg communications energy transport defence or banking depend on it however signals of current gnsss are easily jammed prone to spoofing subject to atmospheric disturbances affected by multipath and blockage in natural and urban canyons this poses global risks and hinders gnss adoption in mission and safetycritical tasks eg drone delivery urban air mobility or autonomous vehicles aware of that civilian and military authorities are promotingdeploying complementary or redundant systems aka augmentations local eg aiding inertial sensors or global eg galileos nma however effective augmentations local or global that are robust accurate and driftless are expensive to this end the project egeniouss will develop a cloud service based on novel multisensor navigation with a tightly integrated visual localisation component to overcome known gnss issues and augment existing egnss services egeniouss will bring an affordable accurate and assured positioning navigation and timing aaapnt solution to the market in order to democratise the access to high accuracy and reliability and thus serving the professional and consumer mass markets the service will be accessible through a platformindependent api during the project the api will be integrated for smartphones and drones with three complementary use cases mapping surveying bike navigation and drone delivery the entire range of the service with respect to accuracy latency and reliability requirements will be demonstrated and validated the development will be accompanied and driven by user and stakeholder requirements and innovative dec measures to ensure a rapid market update as a scalable and highly adaptive service it is easily transferable to other applications and markets eg lbs autonomous vehicles or search rescue
developing a humanbased stem cell model for reproductive toxicity

environmental factors and chemicals are thought to be one cause of declining male fertility reproductive toxicity is becoming a major public health problem currently new pharmacological or chemical compounds are tested in animals for their effects on reproduction before entering the market this risk assessment is essential but timeconsuming expensive and is not always predictive in humans since animals have different reproductive characteristics and physiology a validated and qualified human system to assess reproductive toxicity would be invaluable in addressing this conundrum between regulatory requirements and true relevance through my erccog i have built a large repository of knowledge and developed robust technology on human in vitro gametogenesis more specifically on how to generate male gamete progenitors from human pluripotent stem cells this together with my bioinformatics knowhow makes me exceptionally wellplaced to optimise a humanbased highthroughput screening assay for male reproductive toxicity for use by the private sector in filing reproductive safety data to the regulatory authorities this reprotox assay will be further optimised increase throughput standardise measurements and integrated with a software innovation machine learning algorithm to automate quantification and webtool before we carry out a pilot screen using fdaapproved spermatotoxic compounds and market research to define the commercialisation routereducing the number of compounds that show male reproductive toxicity at very early stages of drug development will contribute to an effective firsttier toxicity screening not only providing standard protocols for quantitative rapid costeffective highthroughput scalable and reproducible toxicity testing but also reducing perhaps eventually replacing animal use reprotox will ultimately lead to economic societal environmental health and ethical benefits
ensuring assessment of safety innovations for smr

the easismr project intends to address the safety issues related to the lwsmr in order to provide advances that should support implementation of such technologies as soon as possible the easi smr project activities are aimed at ensuring that these reactors will be designed constructed commissioned and operated in the safest possible way and in accordance with existing regulations the consortium was carefully chosen so that the research entities can provide the necessary research teams and support facilities across the european continent and beyondeasismr will address the safety issues associated with major lwsmr innovationspassive systemssoluble boronfree corescogeneration and hybridationadditive manufacturing to improve compactness of nuclear steam supply systemmultiunits operationthe work aims to provide insights for european lwsmr projects in particularnuward smr a french design of a reactor generating 170 mw of electricity productionldr50 a finnish design of a district heating reactor of 50 mweasismr is closely linked with nugenia ta6 and the european smr prepartnerships ws5
new modular electrical architecture and digital platform to optimise large battery systems on ships

nemoship ambitions to contribute to the european partnership zero emission waterborne transport zewt objectives by providing new deployable technological solutions needed for all main types of waterborne transport to reach a net zero emission by 2050to reach this goal nemoship will develop i a modular and standardised battery energy storage solution enabling to exploit heterogeneous storage units and ii a cloudbased digital platform enabling a datadriven optimal and safe exploitation demonstrate these innovations at trl 7 maturity for hybrid ships and their adaptability for fullelectric ships thanks to i a retrofitted hybrid offshore service vessel dieselelectric propulsion ii a newly designed hybrid cruise vessel lngelectric propulsion and iii a semivirtual demonstration for two additional fullelectric vessels such as ferries and shortsea shippingall results will be built upon a treasure chest of 18 years of ess operation datathanks a very ambitious exploitation plan accompanied by very large dissemination actions the nemoship consortium estimates that these innovations will reach the following impacts by 2030 i electrification of about 7 of the eu fleet ii generate a potential revenue of 300m thanks to the sales of the nemoship products and services iii reduce eu maritime ghg emissions by 30 compared to business as usual bau scenario and iv create at least 260 direct jobs over 1000 indirectthe nemoship consortium is composed of 11 partners 3 rto 1 sme 7 large companies and covers the whole value chain from researchoriented partners and dissemination and exploitation specialists to software developers energy system designers integration partners naval architects and endusers
narrative and embodied temporality revisiting performativity

discussions on the relation between genderforming discursive practices and biological reality inevitably turn to the body where nature and culture intersect is the body a mere canvas for symbolic practices to inscribe divisions and exclusions or does biological reality dictate divisions and limitations to symbolic practices both symbolic practices and biology rely on a temporal dimension that shapes the discussion is a historical or a discursive time able to effectuate these radical inscriptions or does biological time generate these practices our project will address this issue by synthesizing multiple perspectives first we will sketch an innovative framework for addressing embodied temporality by tackling from a phenomenological perspective the complex relation between time body and motivation our programmatic emphasis on motivations relation to embodiment will initiate a series of innovative shifts we will proceed to the dimension of language at the level of narrative dismissing recent naturalistic approaches we will instead revisit ricoeurs work searching for a novel perspective that will allow us to reinstate the pertinence of narrativity we will then address butlers conception of genderperformativity by first carrying out an investigation of speechacts and their temporal structure ricoeurs and butlers respective critical accounts of speechacts will serve as our guide we will claim that nondiscursive elements of speechacts determine their temporal structure and we will thematize their bodily origin exploring the bodily involvement of motivation will form a novel framework that will allow our investigation of the embodied natureculture intersection to move beyond the models of naturalization and performativity we will be discussing with feminist and gender theorists who have variously thematized the problem of biological materiality
data hub for the creation of energy communities at local level and to advance research on them

local energy communities lec have been recognized by ec as key measure to boost eu energy transition at the same time digitalization of eu energy system and a proper data sharing among energy players look crucial to foster best practice sharing and the creation of a knowledge community to tackle one of the most urgent global crisis of our society climate change data cellar aims therefore to create a public energy dataspace that will support the creation development and management of lecs in eu such dataspace will be easy to be populated also via an innovative rewarded private metering approach and easy to interact with also guaranteeing a smooth integration with other eu energy dataspaces and providing to lec stakeholders services and tools for developing their activities data cellar will implement a collaborative platform providing an interoperable modular and secure energy data space capable of delivering access to datasets decision support tool and artificial intelligence ai models to serve and support the spread lecs in the framework of the project data cellar and its services will be used by representatives of nine validation cases around eu and with different level of maturity promoted by different type of actors such as public authorities dsos aggregators etc data cellar will also used to drive transversal activities such as eu energy scenarios and market planning edf nodes data cellar will facilitate data collectionsharing from both lec stakeholders researchers and tenants also targeting the development of a marketplace and a tokenization rewarding approach that can stimulate such actors to both use and populate the data space at this purpose and also considering data interaction with the other eu existing energy dataspacesinitiatives gaiax open dei towards the creation of a federated eu energy data space data cellar will also study ethical regulatory cybersecurity and governance aspects for data handlingsharing
mapping the central administration in the later roman empire the epigraphic representation and elite networks of the palatine bureaucracy

before the european union the late roman empire was first in the premodern world a uniform hierarchically structured system with infrastructure across most of europe and mediterranean grounded in the overarching institutional legal and cultural framework an extraordinary phenomenon of central supraregional institutions and networks of governing elites is rarely scrutinized in scholarly accounts from an epigraphic and digital humanities perspective as msca fellow dr mariana bodnaruk will receive crucial training in digital humanities and mixmethods approach at warsaw university and study the late roman states elaborate centralized machine whose officials with high political mobility were set apart from other social strata as bureaucrats in the imperial service the aim is to investigate what generated empirewide mobility networks of roman elites and how despite regional differences officials were able to construct and sustain a supraregional institutional framework she will collect data in an online database and construct a digital map to visualize elite networks a threemonth secondment at the austrian academy of sciences will help her extend her training and research overarching research objectives are to conduct a comprehensive empirical inquiry into court officeholders across the fourthcentury empire study epigraphic data applying the novel methodology informed by the digital and material turn and compare the urban epigraphic representation of state bureaucrats and their networks in wider sociopolitical and cultural contexts answering the research question what were the diachronic transformations of spatial and social representation and networks of roman palatine functionaries dr bodnaruk will produce groundbreaking mixedmethods research beyond the state of art in roman epigraphy history and digital humanities an online database and map outreach and dissemination to crucial target audiences and publications on new methods in epigraphy
preparedness for society in health crises and disasters

prepshield aims to foster a more holistic and citizencentric approach to health crisis preparedness and management by cocreating policy recommendations methods and an aipowered platform for crisis management to better prepare for and address health emergencies from a social and societal perspective to reach this objective prepshield will rely on the participation of public authorities citizens specifically from vulnerable and noncompliant groups csos dros and healthcare institutions based on the needs of these groups prepshield will develop recommendations for health crisis preparedness management and communication as well as tools to simulate future crises through an iterative process involving various pilots for their evaluation these pilots will include a communication pilot tabletop exercises and an online exercise which will include all these stakeholders and take place at different scales in different countries local hamburg de regional piedmont it and national romania the online exercise will rely on a prepshield platform and app built on the proven crimson platform to reproduce reallife crisis communication conditions and provide decisionmakers with simulations and feedback on the behaviour wellbeing capacities and resources of the other stakeholders the project brings together a complementary consortium of five universities two public authorities one rto two nonprofit organizations one sme and two large enterprises from seven european union countries and switzerland