Dragon09/odtu_chatbot huggingface dataset:
spatiotemporal linked data tools for the agrifood data space

stelar will design develop evaluate and showcase an innovative knowledge lake management system klms to support and facilitate a holistic approach for fair findable accessible interoperable reusable and aiready highquality reliably labeled data the stelar klms will allow to semiautomatically turn a raw data lake into a knowledge lake this is achieved by 1 enhancing the data lake with a knowledge layer and 2 developing and integrating a set of data management tools and workflows the knowledge layer will comprise a a data catalog offering automatically enhanced metadata for the raw data assets in the lake and b a knowledge graph that semantically describes and interlinks these data assets using suitable domain ontologies and vocabularies the provided tools and workflows will offer novel functionalities for a data discovery and quality management b data linking and alignment and c data annotation and synthetic data generation the klms will combine both humanintheloop and automatic approaches to leverage background knowledge of domain experts while minimizing their involvement to reduce manual effort and time it will increase the automation of finding and selecting relevant data sources configuring and tuning the involved data management tools and designing executing and monitoring endtoend data processing workflows adapted to different user needs the klms will include specialized tools and functions for geospatial temporal and textual data an organization ranging from a dataintensive sme to the operator of a data marketplace will be able to use the stelar klms to increase the readiness of its data assets for use in ai applications and for being shared and exchanged within a common data space the stelar klms will be pilot tested in diverse realworld use cases in the agrifood data space one of the nine data spaces of strategic societal and economic importance identified in the european strategy for data
new horizons in quantum transport from band structure geometry to emergent curved spacetime

the theory of electrical thermoelectric and magnetoelectric transport lies at the core of condensed matter research because it allows to probe many ground state properties as well as dynamical and temperaturedependent features and harness them for advancing technology due to the progress in precision and resolution of experimental techniques formerly inaccessible nonlinear and nonlocal effects take an increasingly central role however this pace is not matched in theory where the physical understanding of response phenomena beyond the local and linear approximation remains fragmented the advent of new quantum materials makes it necessary to take our understanding of transport theory to the next levelhere i propose a universal and intuitive approach to quantum transport based on wavepacket deformations which allows the organization and prediction of complex transport phenomena with the help of geometric band structure properties the goal of this research program is to develop this concept into a powerful and applicable tool in order to accelerate our comprehension of novel transport phenomena and prediction of new ones to this end using diagrammatic methods i will generalize the concept of the anomalous quasiparticle motion to all orders in the response thereby significantly expanding on the concept of berry curvatures connecting wavepacket deformations with gravitational phenomena i will recast the theory of quantum transport in terms of a motion in curved spacetime i will apply these concepts to novel flatband platforms by employing an innovative mapping of the quasiparticle flow between real and momentum space such powerful technology will enable the creation and investigation of dynamical gravitational fields in a condensed matter setting the geometric formulation of quantum transport will reshape our understanding of condensed matter physics and lead to the discovery of new phenomena like gravitational anomalies in quantum materials
language processing in blind early visual cortex understanding limits of functional plasticity in human brain

what makes the cognitive functions to always fall in the same brain niches in people all around the world this consistency might be driven by shared experience characteristic of our species alternatively it might be driven by genetic blueprints predisposing certain brain areas to process specific types of informationto tackle this puzzle i want to understand the functional plasticity of the early visual cortex genetically predisposed to process vision in people born blind we know that in blind individuals this brain region responds to language while this discovery can be groundbreaking for our theories of brain plasticity its theoretical implications are debated particularly because we do not know what properties of linguistic stimuli are represented in the blind early visual cortexthe project objective is to fill this gap in knowledge and disentangle two hypotheses for language processing in the early visual cortex of blind individuals one hypothesis is that linguistic effects in this region are an extension of its typical visuospatial computations that implies that this region represents linguistic stimuli through concrete physical properties of language referents an alternative possibility is that responses to language in the blind early visual cortex are driven by the development of truly abstract representation in this region that implies that this region can represent more conceptual properties of language referents or even the linguistic properties of words and expressions themselves my project will use advanced neuroimaging approaches such as mind reading from fmri signals and inducing virtual lesions with tms to thoroughly test these two hypotheses by doing so it will evaluate two fundamentally different perspectives on functional plasticity in the human brain and will significantly improve our understanding of how sensory experience and genetic blueprints shape the implementation of cognitive functions in this organ
life cycle center for power cable diagnosis

the eu goals for the clean energy transition require at least a 55 reduction in greenhouse gas emissions from 1990 levels by 2030 according to the fit for 55 package to achieve these goals electricity grids will be required to operate in an overall context of 50 electricity production from res of any scale by 2030 the huge rise in the share of solar pv and wind in total generation fundamentally reshapes the european power system and significantly increases the need to build new hvac or hvdc cable connections these will have a crucial role to link islands or offshore wind parks to mainland or to connect countries over long distances the cablegnosis project aims to deliver innovative cable technologies that will support the clean energy transition era for the 2050 targets set at european level cablegnosis project will develop innovative insulation and conductor design technologies high performance and environmentally friendly cable insulation materials ageing studies of superconducting cables recyclability technologies for the materials used in power cables as well as prefault condition aging and remote monitoring aibased tools a feasibility assessment framework and detailed analysis for the use of superconducting cables for submarine connections a respective feasibility analysis will be developed for the offshore wind parks in the netherlands and germany the cablegnosis technologies will be validated in five european countries italy uk greece hungary cyprus cablegnosis will deliver a complete deployment plan for supporting the development and operation of efficient reliable and environmentally friendly cable systems to support the energy transition the deployment plan will provide the scalability and replicability framework of using the cablegnosis technologies in future cable development projects with emphasis in the ukmorocco interconnection cyprusisrael interconnection offshore developments in the aegean sea
a natural breast for cancer survivors resorbable implant supporting tissue regeneration

of the 3 million women undergoing breast cancer resection every year only a few opt for breast reconstruction due to pain concerns about followup procedures and the lack of options for lumpectomy patients traditional implants cannot be used with only 2030 of lumpectomies being reconstructed autologous tissue transfer requires multiple painful interventions to reconstruct large volumes and obtain satisfactory results furthermore both implants and autologous solutions require multiple followup surgeries increasing costs and pain for the patients regenera will be a unique solution for lumpectomy patients a resorbable implant designed to restore a natural breast through tissue selfregeneration it is a cellfree porous scaffold made of resorbable biocompatible polyurethaneesterether with a biomimetic architecture it is designed to avoid followup surgeries and eliminate the risks associated with silicone and saline implants rupture leakage alcl and fat grafting
sensorbees are enhanced selforganizing biohybrids for ecological and environmental surveillance

sensorbees aims at using honeybee colonies as a sensor network for tracking a set of important but undersampled ecological status variables 1 the level of pollination service in the surrounding region and 2 the level of diversity of blossoming plants the pollination of plants is not only significant for human society in agriculture but it is also the trophic basis of the food webs that support all the other trophic layers of animals that are currently endangered in the 6th mass extinction that we are currently facing we will equip a honeycomb that fits into a conventional beehive with a microrobotic system that can reach every single cell on the comb thus we will be able to inspect the content of each cell selectively and store its assessment into a database containing the history of each single comb cell over years the robot will photograph the brood in the cell at fullsize from a short distance allowing its size and health measurement sensorbees will perform specific manipulations on these comb cells for maximizing and ensuring pollination service to the environment to favor and support plant diversity and to defend itself against detrimental developments moreover we will equip the hive with a smart pollen trap capable of selective collection and visual analysis of the pollen brought into the hive by the bees the pollen influx along with the data collected by the robotic agents in the hive will provide information about the health of the colony as well as on the diversity of plants within the foraging area of the bees ie 510 km around the hive thus sample areas of 78314 sq km health estimates on the colony level can be made by looking for anomalies in brood growth and breeding success and by comparing the data streams from the hive entrance local weather data and brood dynamics data fusion will be applied to several colonies to eg locate potential problematic feeding sites
the impact of internal waves on mesophotic coldwater coral mounds in the central mediterranean past present and hope for the future

coldwatercoral cwc habitats are sensitive biodiversity hotspots under severe threat from human activities such as bottom trawling this is particularly true for the cwc mounds that are recently discovered in mesophotic depths 30150 m of maltese waters in the central mediterranean the origin of these cwc mounds is still unknown and due to the lack of scientific data these habitats are still not protected hopewaves aims to provide an indepth analysis of the mesophotic cwc mounds in se maltese waters which is essential for planning and enforcing new marine protected areas mpas networks hopewaves proposes an interdisciplinary approach geology oceanography and paleoecology to investigate the factors controlling the development of these structures in recent and past climates including the role of internal waves and tides iws the specific objectives of this project are 1 to assess the distribution pattern of recent mesophotic mounds and their associated communities 2 to determine the characteristics of water masses around the mesophotic mounds to define the possible depth of iws and 3 to develop a paleoenvironmental model for fossil mesophotic communities that were formed under a warmerthanpresent climate during the oligocene and the role of iws in their formation specific planned dissemination and communication activities are in line with public and policymakers engagement hopewaves will be carried out at the department of geosciences the university of malta which together with two secondments will ensure highlevel training on seafloor mapping oceanographic data analysis grant writing and project management the fellow will also transfer her knowledge in the field of carbonate sedimentology to the host by contributing to teaching and mentoring activities this project will increase the fellow chance of having a permanent position in eu universities marine and oceanic institutes and centres dealing with coral reef research
highimpedance superconducting circuits enabling faulttolerant quantum computing by wideband microwave control

a physical system implementing a quantum bit qubit is never perfectly isolated from an uncontrolled environment the system dynamics is thus noisy modifying randomly the qubit state this phenomenon of decoherence is the main roadblock to build a stable quantum computing platform in order to mitigate decoherence quantum error correction employs only a few code states within a much larger informational space so that noiseinduced dynamics can be detected and corrected before the encoded information gets corrupted unfortunately most known protocols require to control dauntingly complex systems with a degree of coherence currently out of reach our project is to build autonomously errorcorrected qubits encoded in highimpedance superconducting circuits in our protocol a qubit is encoded in the vast phasespace of the quantum oscillator implemented by each circuit in the form of gottesmankitaevpreskill gkp states the novelty is that the gkp states are fully stabilized by a modular dissipation induced by the coherent tunneling of charges through a stroboscopically biased josephson junction the coherence of the encoded qubit is expected to exceed that of existing superconducting qubits by orders of magnitude furthermore we propose to perform protected logical gates between encoded qubits by varying adiabatically the parameters of the modular dissipation paving the way toward faulttolerant quantum computing the major experimental challenge of our protocol resides in the exquisite level of control needed over a wide band in the microwave range we propose to address this challenge by developing novel onchip filters tunable couplers and isolators based on periodically modulated highimpedance transmission lines these onchip components would find a wide range of applications in quantum technologies and favor the advent of largescale quantum computing platforms
digitizing women of medieval iberian historiography

the interdisciplinary project digitizing women of medieval iberian historiography femiber aims to explore gender in the iberian middle ages in ways that embrace emerging technologies while fostering longlasting ties with the society and the cultural heritage in general the project aims to study female representations in the crnica de castilla castilelen and the portuguese livro de linhagens via methods of digital humanities the fellowship will take place at the department of humanities the universitat pompeu fabra barcelona under the supervision of prof mara morrs during the 24 months a digital prosopographical database of the represented women will be generated objective 1 and then the subsets of data will be visualized to explore patterns discontinuities and tendencies of the employed elements for sociopolitical and familial order in the two kingdoms through the lens of gender objective 2 when it comes to transsectoral training and mobility after completing an online specialization in curatorial practices a 6month placement will be carried out at the company digibs madrid the spanish heritagedigitization pioneer during the placement under the supervision by xavier agenjo trainings in patrimony digitization will take place in order to gain new skills and explore the projects potential in the digital cultural heritage field this experience together with the specialization in curatorial practices and the museum exposition form part of the objective 3 dedicated to promote and advance the projects links to the glamsector as well as facilitate public engagement and its use beyond the academia
essential asymmetries of nature

the symmetries identified in nature explicit or hidden are at the root of our knowledge in depth of its fundamental laws nevertheless observed asymmetries departures from that exact pattern are at the very heart of its beauty and of the explanation of how the visible universe came to be and what we are made of well known examples include the matterantimatter asymmetry of the universe and the violation of parity and charge conjugation observed in particle physics asymmetry focuses on the deep understanding of those asymmetries and also on revealing the new fundamental asymmetries yet to be discovered to explain major open questions and the particles on which they act in particular in the invisible sector made of neutrinos dark matter possibly axions and other elusive particles the team is strongly focused on this quest within a multidisciplinary approach mainly phenomenological studies although we bundle in leadership on key experiments such as superkamiokande gerda xenon and key laboratories such as fermilab desy and lbnl
adaptable multipixel gas sensor platform for a wide range of appliance and consumer markets

gas sensors are crucial in the personal and industrial monitoring to analyze personal exposure to air pollutants or to critical gases to control product quality such as in the food industry and in health care by analyzing gases from human body these applications require miniaturized low power and lowcost gas sensors with good gas selectivity to be integrated in personal devices in product packaging or in widely distributed sensor networksamusens aims at developing a gas sensor platform with flexible selectivity to different gas environments by combining a multipixel approach and artificial intelligence to adapt the data analysis to the targeted applications it is based on metal oxide sensing materials on microhotplate platform which are already available on the market for low power applications but suffer from a lack of selectivity gasselective multipixel sensors based on different metal oxide materials have been demonstrated but their industrialization is limited to few industrially available materials by using original additive manufacturing approaches for local liquidphase and gasphase depositions we aim at extending the choice of available materials and demonstrate their sustainability in waferscale processing artificial intelligence will be used both to accelerate the choice of materials and for data fusion to determine specific patterns in the gas analysis two specific applications targeting personal exposure and health care will demonstrate the adaptability of the platform based on an analysis of the users requirementsthe proposed architecture will be adaptable to many applications i from the flexibility in choosing the materials made possible by the local deposition techniques and ii from the programming protocol of the artificial intelligence this approach of products with ondemand properties will improve the resilience of the gas sensor industry by accelerating the time to market of products with enhanced performances
a novel renewable energy storage system tailored for offshore applications

by 2050 12 of world primary energy supply will come from wind of which 20 will come from offshore wind source dnvs energy transition outlook this poses a significant challenge to the electricity supply due to winds intermittent and unpredictable nature thus energy storage is a decisive factor in exploiting the full potential of offshore wind powerby providing a tailored technology for the offshore wind energy market we are addressing two of the biggest challenges in the energy industry 1 the temporal mismatch and 2 the spatial mismatch flasc hpes will enable the integration of largescale energy storage into offshore renewables catalysing the development of this nascent marketflasc addresses clientspecific pain points bridging the gap for offshore wind developers who are currently exposed to wind intermittency demand fluctuations grid congestion and market volatility a flasc energy storage system within the windfarm introduces flexibility to the energy supply increasing profitability which will enable a scaleup in new offshore windfarm deploymentsflasc hpes is a unique energy storage system tailored for offshore that combines two innovations 1 pneumatic precharging which avoids reliance on hydrostatic pressure 2using the ocean as a natural heat sink the system can be installed in shallow water 40400m and it is suitable for fixedbottom and floating applications flasc is unique when compared to other offshore energy storage concepts because it is compact and less expensive has a lower environmental impact and can be colocated in shallower waters within the footprint of the windfarmwith the repowereu plan the european commissions plan to make europe independent from russian fossil fuels aiming at 60gw of installed capacity of offshore wind energy by 2030 flasc will play a key role in meeting the energy targets while reducing dependence on fossil fuels and gas imports
digital hate perpetrators audiences and disempowered targets

the skyrocketing rise of digital hate can be considered the dark side of the democratizing power of the internet despite growing interest in the topic there has never been a systematic investigation about the perpetrators audiences and targets of digital hate to discover why digital hate emerges why it is often tolerated and what kind of effects it has digihate will analyze the reasons perceptions and consequences of digital hate for all involved actors in particular digihate will cause a paradigm shift by systematically looking at both disempowered and empowered targets of digital hate as well as their complex intersections nine work packages wps will form a unique multidisciplinary multilanguage mixedmethod approach including computational analysis qualitative work large comparative panel surveys experiments and a longitudinal measurement burst design in four countries wp 1 will conceptualize digital hate based on a contextrich netnographic analysis of online communities wps 23 will examine the actual perpetrators of digital hate using innovative methodologies wps 45 will study the perceptions and moderation strategies by the witnessing audience and explain why audiences remain silent wps 67 will comprehensively examine the effects on and the responses by the disempowered ie women and muslims and empowered targets ie politicians journalists and scientists as well as their intersections wps 89 will develop a novel multiplatform multiissue comparative computational analysis of digital hate that is built upon the actual perceptions of digital hate by those who receive it rather than using predefined potentially biased ai algorithms a project of this scale and disciplinary breadth has never been attempted before digihate will not only move significantly beyond the stateoftheart in the literature its findings will also be helpful for building and maintaining dignified societies in the digital world