Dragon09/odtu_chatbot huggingface dataset:
literary translations at war mapping world war 2 in europe 193945

while the history of translation is a field in humanities that has known a significant increase recently worldwide a european history of literary translation during the war has yet to be written due to the importance of power relations ideology censorship and propaganda the practice of literary translation and european translators in wartime is a particularly interesting configuration but it remained relatively unexplored so far on a truly european level few comprehensive researches have been carried out on literary translation in europe during this constrained historical context unlike on translation practices during peacetime what was translated how and by whom whilst wars were destroying bonds between people and states what meaning does one then invest translation with focussing on world war 2 a very significant period of 20th century european history the translatwar literary translations at war research project aims at investigating how literary translation then contributed to the understanding of history in the making and reciprocally how history contributed to the analysis of multiple forms of literary translation it is about questioning the circulation of ideas and culture through translation and equally taking a close interest in the role of the agents of these circulations both male and female translators during wartime we will also question the impact that the practice of translation in such exceptional historical circumstances had on the intellectual and cultural development of several countries and what it is likely to have contributed given their position central or peripheral in the world of european literature under my supervision and taking advantage of longstanding international partnerships and expertise this innovative project aims at writing a new page of european history and eventually promoting the emergence of a new disciplinary field at the crossroads of translation studies and war studies
ai powered humancentred robot interactions for smart manufacturing

aiprism is an industrialenduser driven project that will provide a humancentred aibased solutions ecosystem targeted to manufacturing scenarios with tasks difficult to automate and where speed and versatility are essential the result will be an integrated and scalable ecosystem with installationspecific solutions for semiautomated and collaborative manufacturing in flexible production processes and for which specific robotic programming skills will not be required thanks to its programmingbydemonstration modules the ecosystem will be composed by four main pillars including 1 human centred collaborative robotic platform 2 human robot cooperation ambient 3 social humanagentrobots teams collaboration and 4 open access network portal in order to facilitate the assessment of the performance transferability scalability and largescale deployment of these solutions the demonstrations will be conducted under real operational environments in four pilot involving key manufacturing sectors furniture es foodbeverage gr builtin appliances tr and electronics pl plus one generic demonstration facility at the project is not just aiming at quantitative improvements in a specific sector but to use technology innovation to support a change of paradigm where ai robotics and social sciences and humanities ssh integrated in the manufacturing domain for the improvement of flexible production processes become a feasible and widespread alternative for european factories especially smes to achieve this the project relies on a strong consortium of 25 partners from 12 countries including international cooperation with korea the consortium brings together all the actors of the human robot collaboration hrc value chain including relevant competence centres technology providers equipment providers integrators and manufacturersend users and involves key expert partners in ssh standardisation exploitation and dissemination
reconstitution of crista junction proteins using dna origamibased molecular scaffolds for structural and functional analyses

mitochondrial cristae are functional dynamic compartments containing the respiratory chain complexes where oxidative phosphorylation occurs they are separated from the inner boundary membrane by highly curved and tightly regulated membrane compartments called crista junctions cjs a key multiprotein complex mitochondrial contact site and cristae organizing system micos is enriched in cjs and plays a central role in modulating the architecture and function of cjs recently a micos subcomplex built by the mic60mic19 tetramer was proposed to traverse the cj like a molecular strut and hypothesized to act as a diffusion barrier for metabolites and proteins between the inner mitochondrial membrane and the cristae lumen however the exact location of this micos subcomplex in cjs its proposed diffusion barrier function and its detailed role in modulating cj architecture are not clear here i propose to fabricate a cj mimic to reconstitute the mic60mic19 tetramer into an octagonal donutshaped dna origami scaffold the surface of the dna origami will be coated with a lipid monolayer enabling stabilization of the reconstituted complex and facilitating structural studies using cryoelectron microscopy cryoem subsequently the role of mic60mic19 complex and its intrinsically disordered regions as a diffusion barrier will be probed by incorporating the cj mimics onto the surface of the liposomes these efforts will reveal the structure of the mic60mic19 subcomplex in a nearnative environment and its role in the transport of proteins and metabolites thereby providing an indepth understanding of its cellular function the realization of membranecoated dna origami molecular scaffolds as platforms for reconstituting proteins may pave the way for nanotools that are made from dna for structural and functional exploration of other challenging membrane and membraneinteracting proteins which could yield valuable insights into key biological processes
nitric oxidedriven anaerobic oxidation of lignocellulose

in the riparian zone of eutrophic lakes and in field denitrification beds microbial communities degrade lignocellulose in anoxia while maintaining a denitrifying lifestyle during this process nitrate is converted to nitrogen gases via a series of reactions and intermediate products fueled by the degradation of lignocellulosic biomass the microbial interactions metabolic pathways and enzymatic mechanisms underlining this remarkable process remain largely unknown intriguingly in these anoxic habitats enzymes involved in o2driven oxidative lignocellulose conversion are found and expressed yet their source of o2 their potential use of other oxidants and their catalytic mechanism in anoxia remain unknown exploring this knowledge gap is a highrisk endeavor with potential to discover yet undescribed enzymes or enzyme systems capable of anaerobic oxidation of lignocellulose aoli hypothesize that oxidative cleavage of lignocellulose under denitrifying conditions follows aerobic routes including lytic polysaccharide monooxygenases lpmos and ligninactive oxidases and further that the activity of nitric oxide dismutases nods provides a source of o2 for lpmos and ligninactive enzymes this is conceptually high risk linking together biological processes in a new way herein i will scrutinize my key hypotheses by indepth characterization of both lpmos ligninactive enzymes and nods to a depth never done before i will study whether lpmos can employ relevant nonconventional denitrificationlinked electron acceptors and use novel approaches for characterizing the enigmatic nodsnodaol is highly interdisciplinary and addresses questions central for understanding the global carbon and nitrogen cycles which may ultimately help counteracting climate change
limiting west nile virus impact by novel vaccines and therapeutics approaches

west nile virus wnv is considered one of the most widespread mosquitoborne viral disease in the world while most of wnv infected individuals are asymptomatic 1 of wnvinfected individuals develop a severe illness that affects the central nervous system causing encephalitis or meningitis and eventually the death the casefatality rate notoriously increases in immunosuppressed individuals and in population over 60 years old up to 30 and to date there is no prophylaxis or treatment for this disease here we aim to develop a safety prophylactic wnv vaccine that cover wnv diversity and protect elderly individuals by promoting the generation of potent and longlasting neutralizing humoral and t cell responses with limited or no crossreactive activity against other flaviviruses if success the present proposal may guide the development of effective vaccines against other viruses particularly flaviviruses methods we will use outstanding computational tools to design novel envelopebased immunogens that cover the global wnv genetic variability immunogens will be designed for eliciting highlyspecific neutralizing humoral responses with limited potential to mediate antibodydependent enhancement ade of infection or disease in addition we will also seek for t cell responses that work synergistically with antibodies to generate a longlasting and polyfunctional protective antiwnv immune response besides a classical and highly effective recombinant proteinbased vaccine approach we will explore novel and innovative strategies based on virus like particles and the use of antibodies as adjuvants that may improve vaccine immunogenicity and efficacy for immunogenicity analysis we have designed a complete set of assays that encompasses from in vitro testing using human immune cells tonsil and pbmcs to in vivo evaluation using both young and old mice and a complementary swine model
hybrid spinmechanical quantum systems

in the last years the field of optomechanics which studies the interaction of light with mechanical oscillators has advanced considerably many pioneering experiments have demonstrated the ability to achieve quantum control of meso and macroscopic systems however the intrinsic gaussian nature of optomechanical systems makes the creation of complex nonclassical states of motion challenging in order to access them a quantum nonlinearity such as an electronic spin needs to be introduced achieving strong coupling between a spin and a mesoscopic mechanical oscillator would have farreaching implications from tests of the foundations of quantum mechanics to applications in sensing and quantum information despite several attempts this regime has remained elusive so far because of limitations such as short coherence times or low spinmechanical coupling rates in hyspecqs i will overcome the limitations on coupling rate and coherence time by using stateoftheart platforms the spin degree of freedom will be provided by nitrogenvacancy defects in diamond which can display hundreds of microsecondslong coherence times the mechanical resonators pioneered by the host group are embedded in a thin silicon nitride membrane patterned with a phononic crystal these resonators have been demonstrated to reach secondslong coherence times at few tens of millikelvins by functionalizing the resonators with nanoparticles generating high magnet field gradients i will achieve strong spinmechanical coupling i will demonstrate subms spin state detection with a mechanical resonator and i will generate nonclassical states of motion the project will be carried out in the group of prof albert schliesser at the niels bohr institute copenhagen i will gain theoretical and experimental understanding of cavity quantum optomechanics which will complement my existing expertise on spin physics and interferometry thereby enhancing my scientific and professional profile
semitransparent microstriped chalcopyrite cuingase2 solar cells for window applications

while a variety of buildingintegrated photovoltaics bipv solutions is emerging with conventional photovoltaic systems already installed on roofs and facades many modern buildings consist of large areas of windows which represent an available surface to implement semitransparent photovoltaic stpv modules their implementation will permit the production of electricity and its immediate consumption for the enduser without problem of transport and eventual loss moreover it will contribute to a better energy autonomy and independencythe mistical project aims to establish efficient semitransparent solar cells for window applications by developing a novel microstructured architecture for cuingase2 cigs thinfilm photovoltaics and the respective fabrication processes using cigs microstripes with a width of 200 micrometers they are below the resolution of the human eye at a viewing distance above 70 cm making the window fully transparent to natural daylight comparing to other stpv technologies such as silicon dyesensitized dssc organic solar cells opv or ultrathin cigs the microstructured cigs stpv presents a good alternative with several strengths such as its industrial maturity and its competitive cost with sibased solar modules high efficiency stability and good aestheticsthe objectives of the mistical project will be 1 to optimize the cigs device stack for the semitransparent property 2 to optimize the microstructuring of cigs to demonstrate semitransparent solar cells and 3 to assess the performance and the bifacial functionality of the solar cells the overall goal is to demonstrate a power conversion efficiency of 8 at an average visible transmittance avt of 50 surpassing the present state of the art for stpv
strengthening democratic resilience through digital twins

twin4dem brings together scholars of the social sciences and humanities computational social sciences css and democracy stakeholders to jointly address one of the most pressing contemporary issues what causes democracies to backslide combining various advanced css methods twin4dem prototypes the first ever digital twins of four european democratic systems czechia france hungary and the netherlands in doing so twin4dem delivers four major breakthroughs first twin4dem develops a new agentbased conceptual model allowing to identify the causal pathways leading to executive aggrandisementn the excessive concentration of powers into national executives and threatening ruleoflaw institutions this will allow the systematic identification and testing of new hypotheses on the multidimensional causes of democratic backslide second twin4dem releases new crosscutting tools to process and aggregate textual and nontextual data more efficiently and in realtime in an open fair and gdprcompliant manner twin4dem tools will not only allow democracy researchers to process more effectively the abundance of data on political life but also to enhance the transparency and legitimacy of democratic decisionmaking third twin4dem simulates together with national policy makers and civil society organizations policy scenarios to prevent and react against democratic backslide this will enhance the effectiveness of interventions aiming at shielding ruleoflaw institutions against external and internal threats as a result european democracies will be more resilient fourth by formulating guidelines on scaling up the use of css in democracy research in a participatory open and ethicsdriven manner twin4dem paves the way for using such methods in a way that empowers citizens and reinvigorates the quality of democratic governance
dynamic thermomechanical deformation map of fcc microparticles using additive micromanufacturing and machine learning

the core aim of dythmfcc is to push the envelope of additive micromanufacturing am and micromechanical testing under extreme conditions and identify a constitutive strengthening law by using machine learning ml a novel printing method based on localized electrodeposition in a voxelbyvoxel manner will be used to print metallic microparticles of ni cu and co subsequently these microparticles will be subjected to thermal treatments to control the internal microstructure ie change the dislocation content and grain size these metallic microparticles will be tested under a combination of unprecedented strain rates sr up to 1000s and temperatures from 150c up to 600c for assessing their suitability and reliability in extreme applications eg sensors where are subjected to high frequencies or catalysis where high temperatures can be expected depending on the applied sr and temperature several deformation mechanisms can contribute towards the deformation of face centered cubic fcc microcrystals as a function of the stacking fault energy sfe ni cu and co has been selected for this study as their sfe is very different ie 128 75 and 15 mjm2 respectivley as such a complete deformation map of pristine microscale pure fcc metals will be obtained as a function of temperature sr sfe and defect density based on the stressstrain signatures extracted thermal activation parameters such as activation volumeenergy and microstructural characterization from scanning and transmission electron microscopy semtem finally all that information will be used to feed a ml strategy in which the parameters of a constitutive law will be extracted dythmfcc will test the limits of cuttingedge technology in eu research arena by exceptional cooperation between complementing scientific fields
biodiversity dynamics across a continuum of space time and their scales

we face an unprecedented threat from global alteration of nature and biodiversity but we still lack rigorous estimates of how fast where and at which scales biodiversity changes studies report fragmented and seemingly contradictory results suffer from mismatches in biodiversity metrics mismatches in temporal and spatial grains and are constrained by huge data gaps moreover local loss and gain of biodiversity is decoupled from changes in countries or continents with opposing directions at different scales being plausible a quantitative synthesis that connects all this and bridges the gaps is needed the objective of beast is to map and interpolate temporal biodiversity change in europe the us and the world across continuous space time and their grains from locations as small as 1 m to countries and continents over the last ca 40 years for birds plants and butterflies to do this we will combine data from local time series with highquality gridded atlas data from countries and continents we will use a new crossscale model to interpolate biodiversity change jointly across space and time and across the data gaps we will test if temporal change of diversity distributions and turnover can be estimated from i static patterns of diversity and distributions ii from data lacking temporal replication iii from spacefortime substitution of spatial vs temporal species turnover iii from spaceborne remotely sensed spectral diversity and turnover these methods will enable integration of heterogeneous and messy biodiversity data and they will improve estimates of change in datapoor regions of the global south beast will deliver the first integrative statistical model revealing for the first time how multiple facets of biodiversity change across scales it will show which regions habitats and biomes undergo the most pronounced change which is critical for informed largescale conservation policy
molecules to circular energy generation at scale

in the energy market uncertainty shocks such as price fluctuations and policy changes often occur resulting in topdown negative effects to energy consumers to promote a more robust efficient and sustainable european energy economy the mocegs project proposes a multilevel topdown energy planning approach incorporating datadriven process integration process network analysis and chemometrics as core components mocegs project aims to optimize energy trading improve system circularity mitigate uncertainty shocks and exploit chemical utilization via a unique energy planning framework the difficulty of developing such a modelling framework is the necessary computational resources and the multidisciplinary expertise involved the mocegs project is planned with highperformance computational facilities and multidisciplinary training which also includes a secondment to a different european country the advantage of proposed approach is that computational time is reduced and also enables high dataresolution this approach also converts the traditionally linear economy consideration to circular economy consideration via multilevel process integration the ultimate goal is to link collaborative minds of crossdisciplinary researchers in developing an integrative energy planning framework that will be widelyused to promote energy circularity address epistemic uncertainty and achieve regional sustainability
coresense a hybrid cognitive architecture for deep understanding

cognitive robots are augmenting their autonomy enabling them to deployments in increasingly openended environments this offers enormous possibilities for improvements in human economy and wellbeing however it also poses strong risks that are difficult to assess and control by humans the trend towards increased autonomy conveys augmented problems concerning reliability resilience and trust for autonomous robots in open worlds the essence of the problem can be traced to robots suffering from a lack of understanding of what is going on and a lack of awareness of their role in it this is a problem that artificial intelligence approaches based on machine learning are not addressing well autonomous robots do not fully understand their open environments their complex missions their intricate realizations and the unexpected events that affect their performance an improvement in the capability to understand of autonomous robots is needed this project tries to provide a solution to this need in the form of 1 a theory of understanding 2 a theory of awareness 3 reusable software assets to apply these theories in real robots and 4 three demonstrations of its capability to a augment resilience of drone teams b augment flexibility of manufacturing robots and c augment human alignment of social robots in summary we will develop a cognitive architecture for autonomous robots based on a formal concept of understanding supporting valueoriented situation understanding and selfawareness to improve robot flexibility resilience and explainability
the holy grail in bone regeneration

regeneration of large bone defects is an unmet medical need with a high socioeconomic burden affecting millions of people worldwide to overcome the limitations of existing solutions for bone replacement we developed greenbone our pioneering acellular synthetic bone graft obtained from proprietary biomorphic transformation process of rattan wood by mimicking the chemical composition and 3d pore structure of natural human bone we are able to provide an optimum microenvironment capable of driving inductive bone performance and denovo bone mineralisation response at the ectopic sitewith the eic accelerator grant first we aim to disrupt the bone graft market by introducing the first technologically advanced spinal implant that combines the needed mechanical strength with enhanced regenerative capacity we aim to bring our product to the spinal market segment in 2025 reaching 10 market share in 2030 and growing our company team to more than 40 skilled professionals