Dragon09/odtu_chatbot huggingface dataset:
climate smart ecosystemenhancing and knowledgebased rural expertise and training centres

the project climate smart ecosystemenhancing and knowledgebased rural expertise and training centres ruralities delivers an ecosystemenhancing and climate action driven expertise and learning framework organised in hubs eg the ruralities comprising a series of innovative methodologies with the learner at its core supported by a comprehensive network of living labs and a blockchainbased digital platform combining the internet and wireless technologies to assist engage connect and empower actors this is done via a multipoint approach eg multiactors multidisciplines multisystems multiscale multisectors and multilevelsruralities is rooted in the recruitment preparation training and coaching of 1000 facilitators kpi distributed in all participating countries for a variety of tasks eg trainers facilitators role models hub coordinators etc and who play a significant role in creating the matrix and the platform upon which the learning framework is built develops and evolves ruralities proposes to ideate implement futureproof validate and deliver the aforementioned expertise and learning centres via realscale practicing in 7 simplified rural socioecological systems simses eg demonstrators 2 in italy 1 in the united kingdom uk 1 in slovenia 1 in spain and 1 in romania ruralities coordinates identified actions of local regional authorities in supports of rural innovation in regions and economic sectors where rural innovators are not yet engaged in a relevant networkruralities coordinates identified simses networks promoting rural innovation solutions whilst establishing innovative multipoints ruralities hubs of expertise and training on rural innovation this is done via coordinating action for the managing authorities and regional bodies influencing regional and national policy instruments in italy the uk slovenia spain and in romania
openloop recycling technology sustainable and profitable solution to the management of petcellulose waste

openloop is delivering a novel chemical recycling technology thatcan be used to degrade any mixture and blend of pet polyethylene terephthalate plastic and cellulose wasteas a final output yields highvalue feedstock 5hmf 5hydroxymethylfurfural la levulinic acid h2 hydrogen and rta recycled terephthalic acidis clean and can be successfully implemented in industrial environmentthe openloop technology consists of several ioss proprietary processing steps involving chemical procedures enzymatic hydrolysis to separate pet and cellulose neutral hydrolysis to depolymerise pet rta purification dehydration to extract 5hmf and finally 5hmf and la purification in the openloop project we intend to mature the technology integrate it into industrial environment ioss demo plant automate procedures to make them safe and simple to operate validate it engineer process steps to deliver optimal productivity design commercial packages develop the supply chain
a privacyprotecting environment for child transplants healthrelated and genomic data integration in the european reference network

protectchild is a project that aims to improve the outcomes of rare pediatric transplant patients by integrating multiple sources of highthroughput data from registries hospitalbased and public repositories complying with ongoing initiatives such as the european open science cloud eosc and the european health data space ehds the project focuses on the codesign of a secure and privacypreserving infrastructure harmonization of data standards and creation of a publicprivate infrastructure for assembling large datasets to improve clinical outcomes the project involves toplevel expertise from a consortium of technology specialists data standardization experts and highperformance computing hpc centers as well as clinical experts legal experts patients representatives and policy makers the project is aligned with ehds and general data protection regulation gdpr principles and aims to empower secure and compliant processing analysis and sharing of sensitive personal data including genomics while preserving data privacy and security
imaging data and services for aquatic science

imagine provides a portfolio of free at the point of use image datasets highperformance image analysis tools empowered with artificial intelligence ai and best practice documents for scientific image analysis these services and materials enable better and more efficient processing and analysis of imaging data in marine and freshwater research accelerating our scientific insights about processes and measures relevant for healthy oceans seas coastal and inland waters by building on the computing platform of the european open science cloud eosc the project delivers a generic framework for ai model development training and deployment which can be adopted by researchers for refining their aibased applications for water pollution mitigation biodiversity and ecosystem studies climate change analysis and beach monitoring but also for developing and optimising other aibased applications in this field the imagine compute layer consists of providers from the paneuropean egi federation infrastructure collectively offering over 132000 gpuhours 6000000 cpuhours and 1500 tbmonth for image hosting and processing the imagine ai framework offers neural networks parallel postprocessing of very large data and analysis of massive online data streams in distributed environments 13 ris will share over 9 million images and 8 aipowered applications through the framework having representatives so many ris and it experts developing a portfolio of eyecatching image processing services together will also give rise to best practices the synergies between aquatic use cases will lead to common solutions in data management quality control performance integration provenance and fairness contributing to harmonisation across ris and providing input for the imagine best practice guidelines the project results will be integrated into and will bring important contributions from ris and einfrastructures to eosc and ai4eu
hydrogen solutions for european airports regional kinetics

hydrogens importance globally is evident across multiple sectors like industry energy and transport with the eu prioritizing renewable hydrogen production strategies outlined in the eu hydrogen strategy and repowereu plan aim to decarbonize the eu and reduce reliance on imported fossil fuels the shift towards hydrogen requires comprehensive strategies encompassing investment support market creation and global cooperation hyspark in poland accelerates this transition by overcoming technological and nontechnological barriers with a production hub in wocawek it aims to produce over 3000 tons of renewable hydrogen annually serving various local applications six testbed applications will be tested for at least 2 years gathering operational data to evaluate the technoeconomic societal and environmental metrics the testbeds will cover both the transport and the industry sectors and will consist of i the upstream hydrogen production and ii the hydrogen refuelling stations infrastructure iii 4 semitrucks for freight road iv 2 buses for the public road v 8 tow tractors for the ground handling transport vi green ammonia production each testbed application will be fully set up in terms of infrastructure planning of the associated logistics and the synergetic management of all distributed assets to demonstrate the practicality and efficiency of h2 also integrated within warsaw chopin airport to contribute to eus 2050 hydrogenready airports objective nevertheless hyspark will develop the userfriendly and intuitive energy planner utilized to refine and optimize the hyspark supply chain ensuring its seamless integration into the broader energy ecosystem in connection with ongoing eufunded projects th2icino and sh2amrock hyspark leverages established networks to improve project deliverables and fosters a community of practice that supports continuous improvement and innovation in hydrogen valley initiatives
scandinavian digital literature

the scandigilit project will digitally investigate how the italianfrench discourse on scandinavian authors and culture has been structured and evolved through articles that appeared in italian and french cultural magazines between 1870 and 1914 through a newly developed analytical method rooted in the digital humanities i will be able to visually examine and understand the perceived narrative trends and reception structure of scandinavian literature in italian and french cultural magazines in order to find semantic correlations between significant words in their context and their occurence i will analyse the evolution of the discussion on scandinavian authors through an interpretation of articles developing a lexical research methodology on linguistically different corpora referring to the same cultural area by combining unexplored corpora with unprecedented analytical tools the scandigilit project will uncover new insights into a crucial period of scandinavian literary history
climateresilient development pathways in metropolitan regions of europe

the frequency and intensity of climate and weather extremes associated with anthropogenic climate change are increasing and will challenge us in terms of adaptation strategies at the local level the project climate resilient development pathways in metropolitan regions of europe carmine bridges the local and regional scales by providing impactbased decision support services and multilevel climate governance supporting local adaptation including both traditional and naturebased solutions carmines overarching goal is to help the metropolitan communities of europe become more climate resilient by coproducing knowledgebased tools strategies and plans for enhanced adaptation and mitigation actions in line with the charter of the eu mission on adaptation to climate change by 2030 to achieve this goal focusing on the 20302035 timeframe and with longer perspectives up to 2050 carmine proposes an interdisciplinary approach aiming at 1 cocreation and codevelopment of decisionsupport services and guidelines for enhanced resilience and adaptive capacity including early warning and disaster risk management systems 2 cooperating closely with local to regional communities stakeholders and users decision and policymakers local authorities to codevelop crosssectoral frameworks for adaptation and mitigation actions 3 delivering sciencebased ri roadmaps for multilevel climate governance supporting local adaptation assessments and plans the carmine methodology will be implemented in eight selected case study areas to demonstrate proof of concept and project methodology will be demonstrated through the digital replication of climate and socioeconomic characteristics of each area the cocreated knowledge and transferable development pathways from carmine will be shared widely via project networks in order to drive adaptation in other metropolitan regions of europe and beyond
the hyper expert collaborative ai assistant

a significant highly complex class of artificial intelligence applications are sequential decisionmaking problems where a sequence of actions needs to be planned and taken to achieve a desired goal examples include routing problems which involve a sequence of steps from source to destination the control of manufacturing processes which consist of a variable sequence of operations or active learning problems in which machine learning algorithms query human users for a sequence of inputswe address the compelling scientific and technological goal of tackling users lack of trust in ai which currently often hinders the acceptance of ai systems we break down this problem into two complementary aspects first users do not understand current ai systems well with a lack of transparency leading to misinterpretations and mistrust second current ai systems do not understand users well offering solutions that are inadequately tailored to the users needs and preferencespeer will focus on how to systematically put the user at the centre of the entire ai design development deployment and evaluation pipeline allowing for truly mixed humanai initiatives on complex sequential decisionmaking problems the central idea is to enable a twoway communication flow with enhanced feedback loops between users and ai leading to improved humanai collaboration mutual learning and reasoning and thus increased user trust and acceptance as an interdisciplinary project between social sciences and artificial intelligence peer will facilitate novel ways of engagement by endusers with ai in the design phase will create novel ai planning methods for sequential settings which support bidirectional conversation and collaboration between users and ai will develop an ai acceptance index for the evaluation of ai systems from a humancentric perspective and will conduct an integration and evaluation of these novel approaches in several realworld use cases
electricity generated from heat with nonlinear pyroelectric materials

electric energy stands for 20 of the total energy consumed in the world and this share is expected to reach 40 by 2050 as an outcome of the need to decrease our dependence on nonrenewable energies beyond sunlight and wind heat is another formidable and poorly exploited source of electrical energy indeed currently 72 of the energy produced ends up in waste heat and it has been predicted that up to 13 000 twh could be recovered each year which stands for europes yearly total energy needsin this context my team recently showed that 40 grams of nonlinear pyroelectric ceramics can generate more than 10 joules of electric energy from waste heat in one single thermodynamic cycle of 100 degrees this is one order of magnitude larger than the closest stateoftheart we also demonstrated that these materials exhibit an energy efficiency of 40 with respect to carnots efficiency which is beyond what photovoltaics and thermoelectrics can provide therefore the scientific question of this project is the following is it possible to generate watts efficiently with this technology and not only jouleshence the objective of this project is to show that energy harvesters made of nonlinear pyroelectric materials can generate 100 w of electric power from heat with 50 energy efficiency to do so i will 1 design and fabricate environmentally friendly nonlinear pyroelectric harvesting modules 2 analyse the fundamental role played by specific phase transitions on the heattoelectricity thermodynamic conversion in such materials 3 elaborate a power generator based on these harvesting modules with enhanced heat exchange capabilities able to generate 100 w of electricity from heat and 4 prepare another specific heattoelectricity generator showing that conversion efficiency can reach 50 this project will provide a compact efficient and lowcost technology to transform waste heat into a massive new source of electric energy
hormoneinduced resistance to glp1 receptor agonists in diabetes unraveling the molecular complexities

glucagonlike peptide1 receptor agonists glp1ras have revolutionized the treatment of type 2 diabetes mellitus t2dm however a subset of patients does not respond to these agents or develop treatment resistance which poses a significant clinical challenge emerging evidence from our work in humans and mice shows that endogenous amidated hormones synergize with glp1ras to reduce glycated hemoglobin and their absence promotes glp1ra resistance this proposal explores the intricate mechanisms by which endogenous amidated hormones affect endogenous glp1 secretion modulate its function and influence the effectiveness of glp1ras furthermore it will investigate which characteristics predict the glp1ra effectiveness in patients and test potential therapeutic approaches to prevent detrimental glp1 resistance mechanisms with the goal of ameliorating t2dm treatment and outcomesa plethora of approaches will be used to elucidate amidated hormoneinduced glp1 resistance we will study lcell functions and glp1 endogenous secretion in vitro and in vivo in the absence of amidated hormones with tissuespecific genetically engineered mice we will selectively deplete key amidated hormones that counteract the effects of glp1ras and dissect their contribution in physiological readouts of glp1ra resistance lastly we will leverage machine learning approaches to clinical data analysis on large deeply phenotyped biomedical cohorts to select for patient characteristics that determine the likelihood of developing glp1ra resistance and to assess the combinatorial contribution of amidated hormones on t2dm susceptibilityby combining experimental and computational approaches this project aims to gain a deeper understanding of the complex interplay between endogenous hormones and their combinatorial effects and glp1 signaling to develop more effective and personalized therapies and ultimately to improve clinical outcomes in individuals with t2dm
delineating the boundary between the computational power of quantum and classical devices

this project sets out to assess make use of and verify the computational power of realistic quantum devices it comprehensively identifies quantum simulators and paradigmatic quantum devices that are computationally superior to classical supercomputers based on presently available or plausible physical architectures in doing so it explores the fine line that discriminates regimes featuring a quantum advantage from ones that are accessible to efficient classical simulation this naturally twopronged approach is on the one hand concerned with 1 novel classical simulation tools for seemingly deeply quantum prescriptions and with identifying limitations of variational approaches and quantum simulation schemes on the other hand 2 it identifies new practically minded applications of quantum devices that exhibit a computational speedup over classical machines with potentially gamechanging applications emerging for learning tasks to achieve this goal it digs deeply into computer science that provides sophisticated tools of computational complexity and of machine learning and is instrumental in devising methods for the classical simulation of intricate quantum problems at the same time it draws on the physics of complex systems this proposal suggests an interdisciplinary effort by bringing together ideas of quantum information condensed matter physics complexity theory machine learning tensor network theory and methods that are unusual in this context such as signal processing individually each objective substantially advances the respective field but it is their combination that will permit a true breakthrough by delineating the delicate boundary between quantum and classical computations of synthetic quantum devices
a general bismuthbased platform for the catalytic construction of carbonnitrogen bonds and beyond

the amino moiety is a fundamental functional group with essential functions across the chemical and life sciences including agrochemical and pharmaceutical research and manufacture polymer chemistry and biochemistry therefore there is a wellacknowledged need for new and more sustainable methods to construct cn bonds most procedures for cn bond formation rely on the use of toxic and expensive transition metal catalysts which are notoriously impeded by undesired hydride elimination andor poor site selectivity consequently the search for new and more sustainable catalytic paradigms in synthesis has shifted towards the main group elements bismuth was recently demonstrated to moonlight both as a noble or first row transition metal displaying reactivity in 1electron and 2electron processes at will this dichotomy in reactivity of lowvalent bi complexes could potentially be crucial in addressing the longstanding issues encountered in cn bond formation thus clanbi aims to discover and develop new catalytic cn crosscoupling reactions to generate both aliphatic and aromatic amines by exploiting the new biiiiiii redox platform
a century of care invisible work and early childcare in central and eastern europe

how did caretakers rooted in families communities and societies nurture very young children across historical time and how have care practices changed across different peoples states and political economies in the dynamic 20th century this ambitious project answers these important yet mostly overlooked questions with a comparative study of early childcare in central and eastern europe from 1905 to 2004 the late habsburg empire and after 1918 six of its successor states offer an ideal laboratory to explore how the invisible work of caretaking was impacted by changing political social and economic circumstances in this ethnically and religiously diverse region care continued during depressions wars genocides displacements and revolutions this project will be the first to study early childcare in this region systematically and conceptualize the history of private and public caretaking in early life more broadlyto achieve this goal of defining and explaining care practices this project has three objectives 1 to show the nature and scope of the invisible work required during the first 1000 days of life using unexamined voices spaces and things 2 to use insights from sociological and economic literatures to conceptualize and theorize the caretaking regimes of central and eastern europe and explain continuities and discontinuities of caretaking within one diverse region and 3 to examine the afterlife of caretaking regimes after 1989 and european union expansion while also exploring the legacies and debates about caretaking which endure today this project hypothesizes that caretaking regimes a collection of medical beliefs moral assumptions new technologies and advances in material culture interacted with changing political economies and inherited religious and ethnic sensitivities variations across this interaction explain how and why caretakers utilized some childcare practices and not others in this illuminating milieu
boosting the uptake of circular integrated solutions in construction value chains

in order to upscale circular solutions in buildings and the construction sector in general a concentrated research effort involving multiple actors and stakeholders is needed this includes the development and deployment of both digital and technical solutions in building urban material databanks digital twins as well as demolition decontamination and recycling and reuse of waste materials with this in mind the circboost project proposes to become a focal point and interaction node for different emerging technologies to foster circularity in buildings and the construction sector the projects core consists of five pilot projects deployed in different european regions highlighting and demonstrating at large scale novel and integrated solutions for demolition construction waste processing management and valorisation in new products transversal activities of digitalization will allow collaboration between the pilot projects and more efficient use of digital tools and platforms targeted activities are envisioned for boosting and maximising the pilot projects commercial and business potential through effective exploitation measures furthermore in order to ensure that the solutions demonstrated will actually be adopted by the industry the project will support construction and design companies in educating and training their workforce to optimally use the new technologies as part of training activities the circboost project will also leverage the partners existing regional and international networks and connect with new networks initiatives and projects to disseminate and compare project results with a wide audience of construction stakeholders increasing the overall uptake potential of circular solutions finally tailormade communication and dissemination measures will further support the dissemination of project results with policy makers and europeanwide construction industry as well as the promotion of the projects success