Dragon09/odtu_chatbot huggingface dataset:
artificial metalloenzymes using spy protein

protein redesign allows to devise enzymes with new structure and functions however the introduction of artificial metal cofactors to a protein and tailoring the second coordination sphere of the metal centre remains challenging spy technology is a way to tackle these problemsin uspy this technology will be used to devise new artificial metalloenzymes capable for photostimulated reactions this tagging system has been widely used but no examples are reported about spybased metalloenzymes the spy proteins will be obtained by the fusion of the spycatcher protein and the metalated spytag peptides containing copper and ruthenium metal centresthe computational design of the spy systems will be followed by the synthesis covalent modification and metalation of peptides spytags by the fusion of the various spytags and spycathers a library of spybased metalloenzymes will be developed characterized and tested as catalysts for photostimulated reactions including atom transfer radical addition and isomerization reactionsthis fellowship will give the opportunity to the candidate to spend 24 months in the university of parma under the supervision of prof tegoni who has a proven track record in the multidisciplinary field of bioinorganic and coordination chemistry peptide design and photocatalysisone of the project main expected results will be to prove the suitability of spy technology for devising artificial metalloenzymes and the possibility to use these biocatalysts in the industry the implementation of the project will exploit the researchers synthetic skills and will give him the chance to be an independent researcher in the future it will also give the possibility to integrate him in the academic system by a tenure track position after the fellowship
6g hardware enablers for cell free coherent communications sensing

in urban areas 6g will need to rely on a sustainable solution to cope with the everincreasing traffic demands and population densification while providing disruptive capabilities like the materialization of the internet of sense the solution envisioned by 6greference consist of ultradense cellfree deployments for joint coherent communications and sensing at cmwaves which balance the benefits of sub6ghz eg reduced pathloss and mmwave eg wide bandwidth ranges these systems face five fundamental challenges i the need of accurate synchronization among distributed radio units ii fronthaul data distribution iii integration of sensing capabilities iv low complexitycostconsumption radios and v coexistence with other services 6greference will develop integrated circuit and antenna component solutions addressing all of them it will design frequencytime synchronization circuits and a new continuous synchronization framework based on fullduplex indeed fullduplex enabling solutions will be developed targeting such scheme as well as efficient fronthaul data distribution among cascaded radio units and for enabling integrated monostatic radar sensing besides these on the sensing domain 6greference will explore environmental sensors integrated in the antenna estates reuse the synchronization framework for accurate localization and develop new array solutions like frequency modulation providing spatial superesolution at a contained cost and power consumption the latter will be also targeted by time modulated arrays providing efficient singlerf chain multibeam operation as well as reconfigurable intelligent surfaces extending the capabilities of small fmatma arrays finally dynamic if and antenna filtering will be developed to enable efficient spectrum coexistence schemes the ultimate goal of 6greference is to develop hardware enablers that could end up constituting a reference design of future 6g distributed radios
a nextgeneration automated connected and standardised process for increased safety efficiency and sustainability of liion battery reverse logistics

battereverse aims to enable the next generation of battery reverse logistics rl it will develop a more efficient and universal method for battery discharge and first diagnosis for a wide range of liion battery types safety packaging with a monitoring system reducing thermal runaway risk during transportation of batteries automated dismantling and sorting of battery components based on a safe and more efficient humanrobot collaboration and a more precise and faster remaining useful life assessment of battery modules for 2nd life applications based on acoustic testing and machine learning algorithms on top of that battereverse will develop a battery data space with standardised labelling and battery passport functionalities to improve battery identification we will connect the stakeholders through a community platform and analyse the entire rl process by a digital twin dt simulation that will optimise profitability of rl circular business models the innovations will be integrated and demonstrated in an operational environment in two usecases for endoffirstlife eofl ev batteries recycling and repurposing mirrored with the dt simulation by 2026 we expect these developments to contribute to following outcomes increase recycling efficiency by 5 raise share of repurposed eofl batteries to 10 reduce risk of severe events in reverse logistics to 110000 successfully simulate two successful rl business models and to have a stakeholders community platform with 50 stakeholders these outcomes will contribute to the sovereignty of the eu in the battery sector by further uptake of the developed results beyond the project battereverse targets to avoid the use of 3691 tonnesyear of primary critical raw materials on top of that avoid the deployment of 1008 mwh capacity of new batteries yearly while capturing an extra 3024 millionyear value out of eofl batteries and avoiding 31 severe risk eventsyear within the eu rl battery chain by 2029
ab initio pathway to deformed nuclei

nuclear physics is one of the main drivers for extending our current understanding of nature its fundamental forces and the organization of compound systems on subatomic scales the description of atomic nuclei and nuclear matter connects microscopic systems to astrophysics and the origin of elements bridging orders of magnitudes in energy scales a precise understanding of the rich nuclear phenomenology and their emergence from the interaction between neutrons and protons impacts various facets of contemporary physics despite tremendous progress over the past decades a fully controlled description of nuclei throughout the entire nuclear chart is still lacking in particular many experimentally relevant nuclei reveal exotic shapes and strong deformation where nuclear physicists still rely on the use of phenomenological approaches based on uncontrolled approximations with limited predictive power beyond the regions where they have been adjustedin my project i will develop new technologies to target deformed nuclei using nuclear interactions derived from chiral effective field theory and study the impact of interaction models on the predicted nuclear shapes combined with a uncertainty quantification of manybody observables this allows for unprecedented predictions of nuclei far away from shell closures significantly extending the scope of first principles nuclear structure calculations the novelty and challenge of the proposed research lies in i the design of manybody frameworks applicable to deformed nuclei ii statistical analyses for uncertainty quantification and iii the establishment of tensor network approaches in ab initio simulations this array of developments puts me in the unique position to tackle the following big research questions how does nuclear deformation emerge in a firstprinciples approach what are the overall uncertainties associated to an ab initio computation what is the most efficient way of describing exotic nuclei
audio simulation technology to make any product and services accessible for the blind and visually impaired

thirty million blind and partially sighted persons live in europe a number that it is much larger than the combined populations of switzerland denmark norway and portugal 4 in every 100 people are visually impaired staying out of society not because they cant see but because the way we design life is obstructive and not blind or visually impaired friendly our goal is to create a 100 audiooriented accessible and independent living space for 30 million blind and partially sighted persons living in europe in this 80 visionoriented world to design an audiofocused layout where they can blend into life on their own in all areas from banking ecommerce technology to home life to ensure that they can use every product and service they want to use with an advanced voice guidanceblindlook is a social enterprise founded by freedom loving sadriye görece and serial entrepreneur cihat ersin aydın blindlook is a freedom technologies company focused on inclusive transformation for the brands and blind people weve also created eyebrand the first and only transformative inclusive certificate developed for companies for blind and visually impaired customers we are creating a 100 audiooriented world for the blindblindlook provides audio guidance with audio simulation technology for the visually impaired product or service to be used our audio simulation technology includes analysis of product usage experience audio mapping with voice prompts integration with existing screen reader programs voiceover talkback jaws we strengthen this audible world we have created with our technological infrastructure audio simulation is the audio mapping technology we developed so blind and visually impaired consumers can use every product and service offered independently without needing help
low power spintronics wireless autonomous node swan integrated circuits developed via spintronics technology accelerator platform

one of the central keystones of the digital transformation of society is the internet of things iot paradigm however recent focus has turned to the energy consumption of the billions of iot sensor nodes in order for the realisation of a green iot lowpower sensor nodes are essential to extend node lifetime reduce carbon footprint and reduce costs spintronics is an emerging technology which has been demonstrated for several key functionalities associated with wireless sensor networks including sensing energy harvesting communication memories and novel processing paradigmsin swanonchip a spintronics wireless autonomous node swan is proposed for lowpower edge computing three homogeneously cmos integrated spinchip modules will be developed and benchmarked in the context of low power iot nodes namely magnetic field sensor wireless power transfer wakeup receiver objective 1 and these spinchip modules will be brought together into a swan prototype functional demonstrator capable of real world data capture and used for specific end user test cases ie electric vehicles and smart metering objective 2as well as developing individual spinchips a systemonchip style swanonchip concept will be validated with different spintronic functionalities being interconnected via cmos either by using multifunctional spintronic stacks or masking techniques to allow multiple spintronics technologies to be processed on a single cmos wafer objective 3in addition the swanonchip concept will be used to validate the spintronics technology accelerator platform where the spintronics equivalent circuit models spinec and spintronics multiproject wafer spinmpw will create a europeanlevel pathway for the fabrication of monolithically integrated spintroniccmos technologies required for boosting devices up the spintronics value chain objective 3
breaking resolution limits in ultrafast xray diffractive imaging

our ability to observe processes and study function at the nanoscale is hindered by the compromise between temporal and spatial resolutions inherent to the majority of farfield imaging techniques this limits our perspective on a wide range of nonequilibrium processes at the nanoscale such as chemicalcatalytic reactions ultrafast phasetransitions and biological processes at room temperature in native phase intense and spatially coherent femtosecondshort xray flashes from freeelectron laser xfel sources can combine high spatial and temporal resolutions through diffractionbeforedestruction coherent diffractive imaging cdi of individual nanospecimens within a single exposure xfel cdi studies have found surprising variety of morphologies in soot unknown metastable shapes of metal nanoparticles and exotic states of water which are otherwise inaccessible pi and colleagues applied this technique to follow an ultrafast irreversible lasersuperheating process with few nanometers spatial and 100 femtosecond temporal resolutions at the single nanoparticle level despite significant efforts the spatial resolution of single xfel cdi images of nonperiodic specimen could not be improved beyond few nanometers this proposal will overcome this limit by exploiting previously little explored phenomena which arise when specimen are exposed to newly available intense 500 attosecond to few femtosecond short fel pulses all matter exposed to intense xrays is photoionised when xfel pulses are comparable or shorter than subsequent relaxation processes nonlinear effects such as transient resonances and resonant stimulated emission increase the brightness of images by several orders of magnitudes and significantly improve the spatial resolution in combination with sparsity based reconstruction algorithms this proposal will push ultrafast cdi towards the single macromolecule limit and open novel avenues for photochemistry catalysis and material studies
asset level modelling of risks in the face of climate induced extreme events and adapttation

riskadapt will provide in close cooperation with the endusersother stakeholders a novel integrated modular interoperable public and free customizable userfriendly platform priskadapt to support systemic riskinformed decisions regarding adaptation to cc induced compound events at the asset level focusing on the structural system priskadapt will explicitly model dependencies between infrastructures which inter alia will provide a better understanding of the nexus between climate hazards and social vulnerabilities and resilience moreover this project will identify gaps in data and propose ways to overcome them and advance the state of the art of asset level modelling through advanced climate science to predict cc forcing on the structure of interest structural analyses customized to the specific structure of interest that consider all major cc induced load effects in tandem with material deterioration novel probabilistic environmental life cycle assessment lca and life cycle cost lcc of structural adaptation measures and a new model to assess climate risk that will combine technical risk assessment with assessment of social risks priskadapt will provide values to a set of indicators for each asset of interest quantifying primary parameters and impacts in the form of a model information system mis that will provide all required information for adaptation decisions priskadapt will be implemented in the case studies in the pilots that involve specific assets however it will permit customization with local values of parameters and data so it can be applicable throughout europe for cc adaptation decisions involving assets of similar function exposed to multiple climate hazards
developing and testing a framework for the design of harmonized contextspecific monitoring reporting and verification systems for soil carbon and greenhouse gas balances by agricultural activities

the ec has set the ambition to become climate neutral by 2050 as not all greenhouse gas ghg emissions can be avoided such as ghgs from biological processes in agriculture carbon removal will become increasingly important to meet the neutrality targets set besides carbon capture and storage by industry carbon sequestration in the land use sector will need to compensate for the remaining emissions in this respect reliable yet costeffective systems to monitor report and verify efforts by land managers become increasingly important this is particularly relevant for the international ghg inventory reporting and for the development of payment systems to reward land managers for sequestering carbon and reducing ghg emissions by carbon farming cf the interest in cf schemes is substantial as illustrated by the large number of pilot payment schemes that have been initiated in recent years most of the schemes are experimenting on relatively small geographical areas with a relatively small number of land managers involved in the sustainable carbon cycles communication that was launched in december 2021 the ec has expressed the challenging ambition that every land manager should have access to verified emission and removal data by 2028 to enable a wide uptake of cf marvic has been specifically designed to generate instruments and knowledge that enable fulfilling this ambition the main goal of marvic is to develop and test a reliable framework for the design of harmonized contextspecific mrv systems mrv framework for assessing carbon stock changes in soils and woody biomass and soil ghg emissions the development of a generic mrv framework applicable to all agricultural landuse activities is essential for boosting faith in public and private cf schemes in europe
nextgeneration natural language generation

this project aims to overcome the major hurdles that prevent current stateoftheart models for natural language generation nlg from realworld deploymentwhile deep learning and neural networks brought considerable progress in many areas of natural language processing neural approaches to nlg remain confined to experimental use and production nlg systems are handcrafted the reason for this is that despite the very natural and fluent outputs of recent neural systems neural nlg still has major drawbacks 1 the behavior of the systems is not transparent and hard to control the internal representation is implicit which leads to incorrect or even harmful outputs 2 the models require a lot of training data and processing power do not generalize well and are mostly englishonly on the other hand handcrafted models are safe transparent and fast but produce less fluent outputs and are expensive to adapt to new languages and domains topics as a result usefulness of nlg models in general is limited in addition current methods for automatic evaluation of nlg outputs are unreliable hampering system developmentthe main aims of this project directly addressing the above drawbacks are1 develop new approaches for nlg that combine neural approaches with explicit symbolic semantic representations thus allowing greater control over the outputs and explicit logical inferences over the data2 introduce approaches to model compression and adaptation to make models easily portable across domains and languages3 develop reliable neuralsymbolic approaches for evaluation of nlg systemswe will test our approaches on multiple nlg applicationsdatatotext generation eg weather or sports reports summarization and dialogue response generation for example our approach will make it possible to deploy a new data reporting system for a given domain based on a few dozen example inputoutput pairs compared to thousands needed by current methods
extractive expansion and antisystemic environmentalism a socioecological class perspective to the politics of postgrowth and revaluation of nature

revaluepg aims to explore the historical relationship between global extractivism socioecological transformation agrarianenvironmental justice movements and the politics of postgrowth transition through a conceptual and methodological integration between development studies and environmental studies particularly the fields of historical sociology and political economy of development ecological economics and political ecology the growth of the social metabolism of the world economy has engendered a global extractive expansion into the ruralnatural ecosystems through the formation of extractive commodity frontiers a central hypothesis is that the current economic rationality of growth grounded in capital accumulation facilitates commodification of nature leading to its sociocultural and ecological devaluation the purpose of this project is to understand how global extractivism produces a politics of socioenvironmental movements that operate as antisystemic social forces calling for alternative social forms and practices of organizing and regulating social metabolism and social relations of reproduction and thereby shaping grassroot frameworks for a systemic postgrowth transition in exploring antisystemic environmentalism it proposes a socioecological understanding of class and aims to deepen an account of class dynamics present in socioenvironmental conflicts and politics in challenging and politicizing the capitalist relations of extraction it seeks to explore how postgrowth transition requires a politicaleconomic revaluation of nature outside the commodity form predicated on socioecological rationality revaluepg focuses on the geographical instance of türkiye to conduct an indepth empirical research as türkiye has recently exposed the links between the extractivist expansion in rural areas as one of the main backbones of the national politics of economic growth and the expansion of the political field of environmental justice
smart connected and secure battery management system enhanced by next generation edge and cloud computing sensors and interoperable architecture

in this project leading european universities research centers and companies within the battery supply chain are bringing their expertise and innovations together to create the nextgeneration bms platform able to overcome critical challenges limiting the performance of the existing solutions ibattman will incorporate novel sensors and methodologies for monitoring the stateofhealth soh of the cells during operation and in charging together with cuttingedge technologies and tools for v2x and secondlife applications and use advanced physics and databased models implemented onboard and oncloud for performance evaluation diagnosis health management and safety evaluation tools to trigger actions to address safety and cybersecurity concerns this will result in an innovative modular and scalable bms for a wide range of vehicles from small passenger cars to ebuses and electric trucks with improved performance connectivity security and reliability to enhance battery performance and reduce total cost of ownership in ev applications and intelligent battery use for grid support and in 2nd life applications based on a holistic design of an interoperable architecture and supported by a suite of advanced sensors and edge and cloudcomputational resources this will represent an outstanding step forward in the eu battery development roadmap and enable accelerated market adoption of smart batteries to bring to market worldleading class liion technologies to improve the costeffectiveness circularity and sustainability of the eu battery industry by 20302035 it will support the integration of more renewables on the grid based on new concepts such as smart cities and net zero buildings to benefit ev car manufacturers and complementary markets like urban mobility 2nd life application for stationary storage batteries and battery recycling