Dragon09/odtu_chatbot huggingface dataset:
birdwatch a copernicusbased service for the improvement of habitat suitability of farmland birds via satelliteenabled monitoring evaluation and optimisation of cap greening measures

birdwatch will support the restoration of spatial heterogeneity on farmland a necessary component in the lasting recovery of our ecosystems farmland is a major source of our food and farmland biodiversity is vital for our subsistence at least when it is in a healthy condition birdwatch will make this monitoring of farmland habitat suitability a product of both rigorous species distribution modelling and eo databased geospatial features of the individual farmland parcels freely accessible to various stakeholders and the interested public the bird species requirements regarding their habitat are the guiding factor of the habitat suitability assessment with the knowledge on farmland bird habitat requirements and the capability to monitor farmland in terms of habitat suitability opens up the possibility to optimise the structural makeup of farmland and associated greening measures combined with the requirements of local stakeholders including their budgetary and operational constraints birdwatch becomes a tool for the optimisation of greening measures both ins terms of farmland bird species requirements and stakeholder constraints with more effective greening measures at optimised cost farmers will be supported to increasingly reach ecological and economical sustainability this will alleviate the burden of costs and economic pressure thus incentivising landowners to take action towards the improvement of their lands additionally economic instruments such as the cap or the eafrd which distribute financial aid to sustainable and organic farming activities will be provided with evidencebased support in monitoring compliance with national and eu biodiversity regulations and the definition of new increasingly effective policies with an evidencebased view on biodiversity and the effectiveness of greening measures birdwatch encourages the improvement in the communication and mutual understanding between scientists farmers and administrative bodies
2dimensional graphenemos2 heterostructures as anode compartment of sodium ion batteries

lithiumion batteries have been known as the main solution to the global demand for energy storage devices however the rising cost and limited availability of li have hindered the further development of these batteries hence the research paradigm has shifted to develop earthabundant elementsbased rechargeable batteries among which sodiumion batteries sibs show promising potentialthe main challenge in developing sibs is to prepare anode material with high capacity and long cycle life the low cost versatile synthesis methods and ample interlayer distance of mos2 ms have attracted researchers to investigate the possibility of using it as the anode section of sibs seine aims to develop twodimensionalheterostructures using derivatives of ms and graphene gr while the presence of singlelayer gr with low defect density beneath ms enhances the electrical conductivity compared to pure ms the formation of dopants and defects on ndoped ms and ndoped gr a forms active sites for na adsorption b modifies the interlayer interactions c affects the solidelectrolyte interface evolution mechanism and d promotes the stability of the anode each of these effects will be investigated in depth using different physical and electrochemical characterization methodswe believe that seines outcomes will pave the way to answer fundamental questions regarding the mechanisms which affect the performance of sibs and hence to develop costeffective durable and highcapacity batteries thanks to the experiences obtained in this fellowship navid solati eskandar will be trained as a scientist with a broad interdisciplinary perspective and expertise in different electrochemical applications different steps and tasks of seine will be performed via collaboration between navid and prof c labertyrobert at sorbonne university prof sarp kaya at koç university and prof ovidiu ersen at the university of strasbourg
bacteriocins from interbacterial warfare as antibiotic alternative

antimicrobial resistance amr is an ongoing global crisis exacerbated by lack of discovery of novel antimicrobials and absence of investmentinnovation in pipelines by the pharmaceutical industry new alternatives that are targetspecific and do not cause collateral damage to the microbiome would revolutionise human and animal health bacteriocins are small antibacterial peptides produced by bacteria that are geneencoded and can be narrow or broad spectrum they have potential for development of new antimicrobial molecules through discovery and protein engineering resulting in potent targeted antimicrobials they have many possible applications including treatment of gut and topical infections and microbiome editing however basic research issues stand in the way of their exploitation including low production levels often in unsuitable hosts resistance development in bacterial targets and inadequate potencyinhibition spectrum the main aim of bacthewinner is to develop bacteriocins as novel antimicrobials by solving these challenges through combining and innovating stateoftheart technologies in peptide bioengineering and molecular genetics which will lay the foundation for the generation of this new family of therapeutics that target who and cdc priority pathogens and undesirable microbiota to achieve this a fourphase bacteriocin discovery and development pipeline will be implemented which takes new and existing bacteriocins and improves them through bioengineering develops optimal combinations overproduces them in desirable hosts and validates their use in preclinical models of human infection and disease this will pave the way for their development as precision microbiome tools and antimicrobials against amr pathogens we bring together unique expertise necessary to deliver this project by combining bacteriocin and microbiome research with genetic manipulation of food and gut bacteria
time keeping with epsilonnearzero metamaterials

accurate time interval measurement and synchronization between two or more pulses are highly desirable in different fields of science and technology electronic componentsbased approaches can not measure the time difference between two events precisely below twodigit picosecond scale additionally the use of highly expensive electronic components and temperature increase due to the heat generated within the system are other drawbacks limiting its longterm use and performance to address these issues we propose to develop a novel extremely high precision low energy alloptical timekeeping methodology and timekeeper device with epsilonnearzero enz metamaterials besides timekeeping the technologies developed in this project can also become a powerful toolbox or an optical metamaterials technology platform contributing to the creation of lowcost accurate practically lightbased computing processes in future devices our work will have substantial implications on various areas of science and technology including time and frequency metrology geodesy and astronomy the developed alloptical time interpolation will enable extremely high precision of time events up to femtosecond scale using ultralow power and exclude the highspeed electronics and hightemperature complications the project results will apply novel metasurfaceenhanced epsilonnearzero enz materials to realize alloptical timetofrequency converters and optical switches that can be used to realize lowcost highresolution femtosecond timeinterval counters and optical gates
lightweight emissions aware simulation and orchestration of edge computing and edge intelligence

the annual growth of the global energy consumption of digital technologies is 9 hindering the eu green deal objective ofreducing 55 greenhouse gas ghg emission reduction by 2030 with the everincreasing deployment of internet of things iot devices edge computing ec and more specifically edge intelligence ei which seeks to exploit these iot edge devices to process artificial intelligence algorithms has risen as a technology with booming demand potential but which can also negatively contribute to the global energy consumption and ghg emissions of digital technologiesregarding ec and ei emissionsaware in co2 equivalent simulation and orchestration solutions are still underexploredthe lightaidge project therefore focuses on lightweight co2 emissionsaware ei simulation and orchestration it proposes significant advances by i creating a bridge between highperformance computing hpc and ec communities through the development of a novel fast and scalable co2 emissions aware simulation framework for ec and ii by producing lightweight co2 emissions aware edge intelligence orchestrators for lowco2 ei model trainingforeseen impacts are at scientific level the project will establish a bridge between hpc and ecei scientific communities and will pave the path to future co2 emissions aware ec and ei research at technological economical and societal levels the project will reduce rd costs by enabling an economically viable ec and ei prototyping through simulations will help to drive ei companies in the climate transition by reducing the eis co2 emissions through better orchestration and will contribute to reduce the co2 emissions due to digitaltechnologies participating in the european union green deals objective the project also proposes training transfer of knowledgeand disseminationcommunication activities for the researcher constituting a solid path to develop his skills and experience
emerging multifactorial complexity at the geminivirushost interface

viruses manipulate their host cells to replicate and spread this manipulation is based on the activity of virusencoded proteins limited due to restrictions in genome size imposed by the viral cycle how the action of these few proteins results in the massive cell reprogramming observed during the infection remains enigmatic geminiviruses are plant viruses causing diseases in crops worldwide recent results obtained in our lab using the geminivirus tomato yellow leaf curl virus tylcv indicate that the proteome of this species so far believed to encompass 6 proteins is far more complex than anticipated the tylcv genome contains additional open reading frames expressed during the infection and giving rise to new proteins and viral transcripts are spliced and generate new protein variants therefore the number of viral proteins exceeds double that previously accepted in addition we have found that this higher complexity is further increased by the association of viral proteins in an intricate network of intraviral interactions which enable novel protein localization and function leading to an expansion of their interactome and functional spaces our results imply that to get a complete overview of the molecular and functional landscape of plantgeminivirus interactions the strategies traditionally used based on the analysis of a limited number of viral proteins in isolation need to be revisited here we propose to apply a combination of genomic interactomic and functional approaches to generate a comprehensive map of the virushost cell intersection with unprecedented resolution we will perform a comparative analysis of different geminivirus species and translate these emerging concepts to independently evolved viral families the conceptual and practical enlargement of the virushost interface elucidated in this project has the potential to reshape the theoretical framework and experimental approaches in the study of virushost interactions
transforming brain surgery by advancing functionalguided neuronavigational imaging

in recent years through the advancement of imaging technologies such as mri pet ct among others clinical localisation of lesions of the central nervous system cns presurgery has made possible for neurosurgeons to plan and navigate away from functional brain locations when removing tumours however neuronavigation in the surgical management of brain tumours remains a significant challenge due to the inability to maintain accurate spatial information of lesioned and nonlesioned locations intraoperatively to answer this challenge we have put together a team of engineers physicists data scientists and neurosurgeons to develop an innovative alloptical intraoperative imaging system based on i hyperspectral imaging hsi for rapid multi wavelength spectral acquisition and ii artificial intelligence ai for image reconstruction and molecular fingerprint recognition our intraoperative hsi system hyperprobe will 1 map monitor and quantify biomolecules of interest 2 be handheld and userfriendly 3 apply aibased methods for the reconstruction of spectral images the analysis of spatiospectral data and the development and quantification of novel biomarkers we will validate the developed capacity in phantoms in vivo against gold standard modalities in neuronavigational imaging and finally provide proofof principle during brain tumour surgery hyperprobe aims at providing functional and structural information on biomarkers of interest that is currently missing during neurooncological interventions
hyperdistributed artificial intelligence platform for network resources automation and management towards more efficient data processing applications

in hyperai we work with smart virtual computing entities nodes that come from a variety of infrastructures that span all three of the socalled computing continuums layers the cloud the edge and iotit focuses on intensive dataprocessing applications that present the potential to improve their footprint when hyperdistributed in an optimized manner in order to give targeted applications access to computational storage or network services hyperai implements the idea of computing swarms as autonomous selforganized and opportunistic networks of smart nodes these networks may offer a diverse and heterogeneous set of resources processing storage data communication at all levels and have the ability to dynamically connect interact and cooperate hyperai proposes semantic representation concepts to enable heterogeneous resources abstraction in a homogeneous way under a common annotation computing node across the whole range of network infrastructures the main orchestration and control concept of hyperai is inspired by autonomic systems selfchop principles which employ swarmed computing schemes its objective is to make smart multinode swarm deployment scenario design execution and monitoring easier through appropriate ais for selfconfiguration nodes assigned resources selfhealing swarmed nodes lifecycle selfoptimizing exploiting builtin situation awareness mechanisms and selfprotecting intrusion detection privacy security encryption and identity management at application runtime in order to support dynamic and datadriven application workflows hyperai suggests the flexible integration of resources at the edge the core cloud and along the big data processing and communication channel enabling their energy time and costefficient execution finally distributed ledger concepts for security privacy and encryption as well as aibased intrusion detection are also considered
multifunctional nanobio interfaces with deep brain regions

capturing the dynamics of brain activity in its multifaceted components is a key challenge for neural interfaces deciphering the complex electrical and chemical signaling exchanged by the different constituents of the brain tissue will result in a better understanding of neural circuits and functions informing and enabling novel diagnostic and therapeutic approaches next generation of research tools should therefore aim at a multifunctional and fully integrated approach probing and triggering multiple signals simultaneously with high spatiotemporal resolution and low invasiveness mining aspires at generating a novel class of multifunctional neural endoscopes able to trigger and detect electrical and molecular signaling with cellular resolution in vivo the result will be the unprecedented ability to correlate multiple types of signals in the same volume with spatial and temporal resolution at depth the limitation of current state of the art will be surmounted by exploiting lightmatter interactions in hybrid metaldielectric metasurfaces and their synergistic integration with organic electrochemical transistors the main objectives of mining are 1 devise hybrid metaldielectric metasurface hms neural endoscopes enabling simultaneous i highresolution functional imaging of neural signals ii labelfree optical monitoring of chemical compounds from both wide and localized brain volumes and iii optogenetic and thermoplasmonic modulation of neural functions with cellular resolution 2 integration of organic electrochemical transistors on hmss endoscopes generating a novel optoelectrical neural interface with cellular resolution based on active electronics 3 development of methods for spatialresolved multifunctional studies to demonstrate the power of mining endoscopes to reveal so far hidden patterns of electrochemical functional dynamics in the living mouse brain
advanced study of the atmospheric flow integrating real climate conditions to enhance wind farm and wind turbine power production and increase components durability

to deliver the future needed renewable energy capacity wind farm developers will have to use larger turbines at higher altitudes explore novel geographical regions and offshore sites currently wind turbines and wind farms are designed and operated considering just wind conditions consequently the models do not take into account the physics and aerodynamics of atmospheric wind flows at high altitudes neither how this is affected by the location the effect of precipitation andor sand this reduces the expected efficiency of wind energy production and makes hard to estimate the energy outputs operating costs and lifespan of blades and turbines increasing variability and the risk to investors and project developers when designing wind farms reducing the total potential investment unless new sites can be identified and designed optimally the lcoes will start to rise as developers have to design wind farms that cannot be well predicted with conventional modelsthe aire consortium foresees precipitation and other events clouds sand shear inflow that wind brings into the state of play to be the new key parameters for siting of wind turbines wind farm design component design and om strategies planning aire will investigate solution to assess the potential impact of real climate conditions in different terrains and different altitudes both onshore and offshore gathering information from 4 experimental sites and 4 commercial wind farmsspecially aire will bring together researchers blade manufacturers and utilities to create an open access knowledge hub of experimental data develop new numerical models build tools to design and control wind turbines and wind farms the effectiveness of the developed tools and models will be validated using data from commercial wind farms
protecting the planets bloodstream feasible and just opportunities to safeguard freshwaters earth system functions

freshwater has a fundamental role in regulating the state of the earth system various human actions modify the water cycle disturbing the earth system functions it provides such as mediating the planets energy balance and sustaining ecosystems humanitys impact on these functions has not been quantified comprehensively nor do we know what human actions drive water cycle modifications wcms in different parts of the world this knowledge gap has made it impossible to acknowledge freshwaters crucial earth system functions in decisionmaking as human pressures on the water cycle continue to increase there is an urgent need for bridging the gap between earth system science and water management and governance to safeguard freshwaters lifesupporting earth system functions aquaguard rises to this challenge by 1 providing quantifications of the full extent of humanitys disturbance of the earth system functions of freshwater globally and in a spatially explicit manner using novel indicators and spatial delineations 2 using novel computational methods that will provide new insights into the complex driver interactions behind wcms 3 quantifying crucial earth system impacts of wcms using modelling and metaanalysis and 4 identifying feasible and just opportunities to safeguard freshwaters earth system functions using aquaguards quantifications combined with novel indicators of feasibility and equity aspects of freshwater change at scales that are appropriate for water management and governanceaquaguard addresses fundamental knowledge gaps at the intersection of hydrology ecology and biogeochemistry and provides various new methods and groundbreaking scientific results that will illustrate water as an integral part of the earth system by doing so the project opens up new research avenues within and across these fields and expands perspectives in water management and governance from predominantly local to localtoglobal
creation of the centre of excellence in smart forestry

the overall objective of the forest 40 project is to establish a centre of excellence coe to transform the forest environment monitoring data acquisition and analysis and capture value from the collected data by implementing innovations based on artificial intelligence ai and the internet of things iot the coe will be founded by two lithuanian partners vytautas magnus university vmu and kaunas university of technology ktu teaming with a leading counterpart from sweden linnaeus university lnu and three networking and business development partners interiorcluster from sweden art21 uab and agrifood lithuania digital innovation hub from lithuania the coe will be created as a new legal entity and will comprise leading researchers from different domains that will implement an ambitious long term research and innovation strategy the coe will also provide innovation services to businesses and host a startup incubator the impact of the project will be a rise in research excellence and reputation in forestry management and aiiot technologies for lithuania the constitution of a critical mass of excellent international researchers in the targeted domains the production of a growing amount of research publications and innovation patents new technologies startups outputs and expanding international networks for the lithuanian partners