Dragon09/odtu_chatbot huggingface dataset:
new antivirals for infections with pandemic potential

for infectious disease management and control vaccines are considered golden countermeasures but are not the most adequate tool for mitigating the early effects of an outbreak taking the recent covid19 pandemic as an example access to broadly applicable therapeutic antivirals would have had a major impact decreasing the human toll of the disease and alleviating the burden carried by health care systems it is urgent to focus resources and efforts on the development of broad spectrum antiviral drugs against unknown pathogensthe navipp consortium aims to strengthen the eus readiness and response capacity to viral threats by assembling an international rd platform for antiviral drug development against pandemic prone pathogens the consortium will implement a strategic multi gear rd and clinical roadmap for the identification optimisation preclinical and clinical investigation of broad spectrum antivirals against pathogens with epidemic or pandemic potentialin particular the consortium will design compounds library with increased diversity to be tested in highthroughput assays against highly pathogenic viruses hits coming from this exercise as well as assets that have demonstrated antiviral activity in previous exercises will be assessed against a larger virus panel validation of the antiviral efficacy of the hits will be done in stateofthe art ex vivo models to prioritize compounds going to in vivo proof of concept studies mode of action and target will be also interrogated additionally the implementation of an adaptive platform trial will enable early clinical investigation of 3 antivirals and will pave the way for clinical testing of other antivirals finally the project will investigate new innovative and improved delivery systems of antivirals through nano conjugationultimately this project will deliver a pipeline of broadspectrum antiviral candidates and in the longer term contribute to european preparedness for emerging threats
artificial intelligencedriven materials design for spintronic applications

the steady increase in energy consumption per capita and the slow transition toward renewable energy sources is becoming a serious global problem making energy efficiency paramount for new technologies twodimensional materials offer an encouraging path toward ultralowpower electronics due to our capability to combine them into van der waal heterostructures with tailored quantum properties based on their constituents the spinorbit torque sot memories are technological prospects that consume a fraction of conventional memories power still they offer superior speed and storage capacity and were further improved when using 2d materials as building blocks instead of 3d metallic systems recently theoretical efforts demonstrated the existence of thousands of potentially synthesizable 2d materials opening an exponentially larger pool to mine for optimized heterostructures which bruteforce approaches cannot tackle this project aims at developing artificial intelligence that will propose optimized van der waal heterostructures for spinorbit torques to this end we will first construct an automatic material assessment automata tool based on deep neural networks that will perform numerical modeling and quantum transport simulations autonomously to compute the spinorbit torque efficiencies in parallel we will develop a computerassisted structure compass optimizer that will propose new systems for spinorbit torques by using an evolutionary strategy the automata tool will rank the candidates generated by the compass optimizer and we will use those with superior performance to improve the compass optimizer prediction the successful combination of these tools will accelerate the development of technologies by automatizing the material selection phase through this quantum mechanical optimization process although we apply it to spinorbit torques it is with little effort generalizable to any electrical response functions
agroecological strategies for sustainable weed management in key european crops

agrosus will identify appropriate tools and agroecological strategies as to prevent and manage the occurrence of weeds in relevant crops in conventional organic and mixed farming at the eleven biogeographic regions of the european union and associated countries continentalmediterraneanatlanticmacaronesianpannoniananatolianblackseaborealalpinesteppicartic while reducing the reliance of synthetic herbicides to the environment and increasing biodiversity of agroecosystems the consortium integrates a multiactor approach for farmers decision making and for including the different perspectives from stakeholders to decisionmakers that regulate and administer policies in summary agrosus will rely on i expanded knowledge on problematic weeds on european agriculture current weeding techniques and problems encountered by farmers and advisors around 500 farmers and advisors will be contacted for surveys workshops and discussion groups ii advanced detection tools iii establishment of cultural mechanical physical biological and biotechnological as in 68 shortterm experimental units sprayed all over europe iv actions carried out with stakeholders and policy makers to promote the most appropriate initiatives at the field administration and regulatory levels and v technology transfer and training of stakeholders for prevention and management of weeds the tools and strategies designed will be developed in collaboration with stakeholders for the most problematic weeds of the different regions these strategies will be implemented in the most economically relevant crops at the 11 biogeographic regions and in conventional organic and mixed farming systems as well the environmental impact and economic and social costs and benefits of combined as for weed control will be assessed in the 68 shortterm fields and in 15 medium to longterm already in course agroecological fields both in comparison with classical chemical weed management
openearthmonitor cyberinfrastructure

the openearthmonitor cyberinfrastructure will increase european capability to generate timely accurate disaggregated peoplecentred accessible gsmcompatible and userfriendly environmental information based on earth observation data we will achieve this by building a cyberinfrastructure anchored in fair data principles leveraging and improving our existing platforms openeoorg geopediaworld globalearthmonitoreu earthsystemdatalabnet openlandmaporg opendatascienceeu lifewatcheu xcube and eurodatacubecom we do this in 3 phasesa implementation of the computing engine and insitu om data servicesb direct application of the openearthmonitor to support eu green deal and other strategic actionsc dissemination and engagement of stakeholders target users through series of open workshops then revise the tools and adjust them to better fit their objectives and limitations we specifically target contributing tooperational planning for planting 3 billion trees over the eu by 2030 achieving climateneutrality by 2035 in the land sector building back a netzero ghg emission economy by 2050 achieving uns sdgs monitoring essential biodiversity indicators compiling natural capital accounts for private public sectors enabling businesses to leverage competitive advantage through the eu green deal increasing the quality of life for european citizens we will innovate 1 implementation of original cloudbased solutions to seamlessly integrate insitu point site eo data so that we can produce environmental information at analysis and decisionready levels2 implementation of fullyscalable automated mapping automl frameworks3 userexperiencedesigned data provision and apps possibly reaching millions of users across eu and globally4 financial assessment tools allowing users to directly quantify ecosystem services seea methodology to identify optimal environmental and climate solutions to build business solutions
engineering nanoparticlepolymer interactions to create instructive tough nanocomposite hydrogels without negatively impacting selfhealing behavior for bone tissue regeneration

selfhealing hydrogels are investigated as promising biomaterials in tissue and organ regeneration applications offering a powerful alternative for scarce donor tissue however these hydrogels are often insufficiently tough which is a significant limitation in their clinical use another drawback is that there are limited solutions on how to instruct cells for tissue healing thus one key challenge is to develop selfhealing hydrogels that are mechanically strong and can guide tissue regeneration however current methods to improve the mechanical properties of hydrogels negatively impact selfhealing behaviorin nano4bone i aim to provide a novel solution to this challenge by engineering nanoparticle polymer interactions using metalligand coordination bonds which uniquely are both stable and labile ideal properties for creating spontaneous selfhealing hydrogels the nanoparticles act as dynamic crosslinkers to increase local crosslinking densities thus dramatically improving the mechanical properties without affecting the selfhealing behavior importantly the nanoparticles can also act as bioactive units through smart incorporation of therapeutic ions to instruct tissuehealing behavior the metal ligand bond can be tuned for temporally controlled release of bioactive nanoparticles a novel approach which allows kinetic control over bioactive signals to prove their clinical utility i will optimize the materials to treat and regenerate bone tissue in osteosarcoma os for which new treatment options are urgently needed nano4bone proposes an innovative method to drastically improve the mechanical properties of hydrogels without negatively impacting their selfhealing abilities the impact of the project will be large by addressing key challenges in the field offering a new treatment for os and a wide application area of the new materials in regenerative medicine and other biomedical fields
smart city innovations and experiments using new climate and energy simulations

as most of the worlds population lives in urban areas cities play a key role in the use of energy resources and public wellbeing the quality of life in cities as well as the consumption of energy is highly compromised by the heat they release and the green house gases ghgs they emit for this reason horizon europe and other international organizations are committed to supporting research and innovation for the development of climateneutral and smart citiessolutions to improve outdoor thermal comfort and reduce ghgs in cities could be more comprehensively studied if physicallybased models simulating interactions between buildings and the outdoor environment were integrated into smart city digital twins scdts the integration of physicallybased models into scdts is still encountering difficulties however and in my research i propose to overcome these by 1 automatically configuring a physicallybased model from a 3d city model and an internet of things iot platform 2 using statistical models in concurrence with the physicallybased model and 3 simulating temperature air flow humidity and ghgs in the outdoor air using the physicallybased modelwhile conducting my research at carnegie mellon university and technical university of delft i will diversify my skills and competencies through training activities and through the transfer of knowledge from my supervisors together these will enable me to become a world leader in applying urban microclimate modelling to scdts i will also gain experience in team management and teaching to achieve my career goals in academia finally the collaboration with host organizations and one company in europe will allow me to extend my professional network in the united states europe and industry
dynamical formation of black hole mergers

gravitational wave gw astrophysics is bound to have an exceptional future building on the success of ligovirgo and propelled by the next generation of groundbased detectors expected to see hundredsofthousands of gw sources per year and spaceborne observatories such as lisa and decigo that will make multiband gw astrophysics a reality this erc research program will lead to new ideas and tools to probe in unprecedented ways the origin of binary black hole bbh mergers with particular focus on constraining the dynamical formation of gw sources i will address the outstanding question of how bbhs form and merge in our universe by providing the gw community with 1 the first and largest public bh scattering database with bbh merger probabilities and gw observables derived from generalrelativistic fewbody interactions thought to dominate bbh assembly in environments from globular clusters to activegalacticnuclei disks this initiative fills out a major gap and will ensure a consistent progress in this field 2 a new method for modeling the formation of bbhs in dense stellar clusters throughout cosmic time it will be based on a new hybrid approach that evolves bbhs on top of a stellar background that is evolved using statistical mechanics combined with our bh scattering database this framework will be the fastest and most accurate way of modeling bbh mergers in stellar clusters 3 a new way of directly observing the formation of eccentric gw mergers in threebody scatterings through gw phaseshifts measurements caused by tidalforces and timedelay effects from the third body this idea opens up for the possibility of probing the origin of individual bbh mergers using ligovirgo and future detectors we will be the first group to present a new search strategy for quantifying what can be learned about each individual triple system and its astrophysical environment
photoacoustic imaging and artificial intelligencebased theranostic approach for cancer

health programs crave for diagnostic imaging and eradication of chemoresistant neoplastic lesions smaller than 1 mm of size phire based on the outcomes from edit fetopenria ga801126 aims at bringing closer to market a novel highresolution theranostic medical device effective in the clinical applications for lesions 1 mm ready for application in human bladder cancer and effective both in male and female patientsthe phire solution will be developed using swine model and will include an addon module for preexisting offthe shelf photoacoustic device allowing to perform photoacoustic imaging of hollow organs located deeper in human body designed to be used in combination with an artificial intelligenceassisted prediction map for the imageguided gold nanorods assisted photothermal therapy a largescale synthesis of urinestable gold nanorods for clinical use the adoption for clinical applications of this new device will reduce the frequency of the bladder tumor relapse and the number of patients with relapsing tumor with a drastic positive impact on the quality of life of patients while reducing the social cost of the management of patients furthermore phires results will open up the way for the deployment of theranostic application against lesions 1 mm in other hollow human organsphire innovative solutions will also be applicable to other markets such as that of photoacoustic and diagnostic imaging gold nanoparticles cystoscopy and medical software
understanding the role of glycans in human norovirus infection a key to unlock new therapies

glycans are carbohydrate structures ubiquitously found on the surface of cells and take part in many biological processes including cell signaling and neoplasia research on glycans is challenging in part due to the limited availability of biologically relevant synthetic glycans and to technical challenges in the analysis of glycanprotein interactions glycans also exhibit key roles in viral infections mediating virus attachment and entry human noroviruses novs are the major cause of viral gastroenteritis and foodborne illnesses causing morbidity mortality and economic losses nov infections are selflimiting in healthy individuals but are associated with severe complications in immunocompromised individuals the elderly and young children in addition frequently occurring new nov genotypes and variants can cause large outbreaks and epidemics worldwide very little is known about nov infections in most nonhuman hosts and the close genetic similarities between some animal and human novs leads to the realistic hypothesis that the virus might jump the species barrier triggering pandemic variants importantly no therapy is currently available to treat or prevent nov infections the requirement for novs to attach to specific glycans to infect hosts tissues and cells has been well established but the underlying mechanisms remain to be elucidated going beyond the stateoftheart the overall aims of glyconovi is training 9 researchers to address knowledge gaps on nov glycan interactions and investigate the exciting possibility of developing synthetic glycans as antiviral strategies to treat nov infection these aims will be achieved bringing together 5 academic and 3 industrial leaders in glycoscience glycovirology and nov field and relying on a multidisciplinary and interconnected approach which is declinate in researchoriented wp15 and wp68 focused respectively on training outreach and coordination
plasmonic magnifiers of single molecule dynamics

this project will develop a new method for spatial manipulation of light by designing and validating assemblies of plasmonic nanostructures and fluorophores to advance visualization of densely packed biological structures and their dynamics the visualization of densely packed biological structures is extremely challenging yet crucial for understanding dynamic biological processes in virtually any context light manipulation at the nanoscale using plasmonic nanoparticles has the potential to magnify nanoscopic sample structure while simultaneously enhancing the optical response beyond the capabilities of current superresolution microscopy techniques while the ability of metal nanostructures to enhance the response of fluorophores has been utilized for decades we are still far from understanding the underlying mechanisms of plasmonic enhancement to fully exploit the potential of this approach we need to know how spectral overlap between the plasmonic nanoparticle and the absorption and emission channels of the fluorophore affects the coupling efficiency and spatial projection to translate these effect into applications we have to understand how the fluorophoreparticle distance affects the farfield projection of the fluorophore we will use selfassembled dna singlemolecule localization microscopy and finite difference time domain electromagnetic simulations to measure describe and reconstruct subdiffraction limited shifts in the projection of plasmoncoupled fluorophores this will let us pave the way to the design of a magnifying device aimed at visualizing densely packed biological structures fundamental understanding of plasmonic coupling obtained in this project will be directly applicable in various fields of research by providing a tool for highresolution visualization of molecular structures and their dynamics in the form of plasmonic assemblies and enabling precise control over enhancement in fluorescence and raman systems
mitochondrial gene expression

mitochondrial gene expression is essential for cellular metabolism and energy supply since 13 core subunits of the oxphos system are encoded on the mitochondrial genome despite its importance for cellular function mitochondrial gene expression mitoge and its regulation are not understood at a mechanistic level to this end we demonstrated that mitochondrial translation is prone to regulation responding to influx of nuclearencoded proteins however the mechanisms that regulate gene expression in mitochondria remain unknown a lack of suitable experimental approaches to modulate mitoge hampers progress in our understanding here i propose a project that takes the next big step towards understanding the mechanisms of mitochondrial gene expression our recent work on an in organello system to target mitoge in a transcriptspecific manner provides the bases for the challenging project proposed here which aims to solve longstanding questions first we will dissect mitochondrial transcript interactomes and their spatial orchestration to understand basic principles of rna abundance organization in granules and cross communication second we are now able to investigate translation in the context of the inner membrane with transcriptspecific resolution and thereby identify liaising factors involved in ribosome recruitment and membrane insertion and regulation third we will extend our strategy towards an in vivo transcriptspecific silencing approach to define retrograde signaling pathways that integrate mitoge into cellular contexts the combination of functional analyses carried out in organello and in vivo will provide unprecedented insights into components and mechanism of mitoge and reveal how two genetically independent systems cooperate to build a functional metabolic pathway able to respond to energetic requirements and challenges
privacypreserving largescale computation foundations and applications

in in the era of exponential growth in available data privacy and security have become paramount concerns for a wide range of domains including healthcare financial services and many more classical tools developed in the cryptography community eg the ability to perform computation on encrypted data without revealing the underlying information could have the potential to address these challenges however most results do not fit modern largescale distributed settings due to communication and storage limitations a recent line of work attempts to bridge this gap yet existing solutions are still highly unsatisfactory since they assume either strong trusted setup assumptions rely on strong and nonstandard computational assumptions or they are extremely theoretical this research proposal aims to overcome the above drawbacks and systematically identify and design secure computation tools that can be effectively used within modern largescale applications to this end we will address three main challenges 1 understand and design distributed largescale building blocks such as broadcast protocols 2 equip largescale algorithms with privacy guarantees and 3 increase the usability and practical usefulness of privacypreserving tools in largescale settings a successful execution of the proposed research will capitalize on and develop new ideas in three key areas cryptography distributed computing and algorithmsthis research holds immense potential for applications in various domains for instance it could enable secure analysis of patient data across healthcare providers improving diagnosis and treatment planning while preserving privacy similarly in financial services it could revolutionize fraud detection by collaborative analysis without compromising customer confidentiality ultimately this researchs goal is to design novel methods for privacypreserving data processing allowing new applications benefiting society as a whole