Dragon09/odtu_chatbot huggingface dataset:
proteomicsbased analysis of rsv nucleic acidprotein interactions

respiratory syncytial virus rsv is a major cause of severe lower respiratory tract infections and a major cause of mortality in children under 5 years old and the elderly worldwide while rsv impose a huge disease burden on public healthcare system the development of effective vaccines and specific antivirals is impeded by a lack of knowledge of virus multiplications mechanisms virushost interactions or pathogenicity here we propose to comprehensively map rsvhost interactions and characterize the cellular response to infection through an integrated multiomics approach and using experimental systems close to natural infection this project will combine my expertise in rsv biology and the host laboratorys profound experience in systems biology analysis by using stateoftheartof proteomics and transcriptomics we will characterize the rsv rnabound proteome as well as the proteinprotein interactome analyze the proteome of cells expressing the individual viral proteins effectome and assess the influence of rsv infection on cellular mrna expression protein abundance and phosphorylation we will systematically map the identified viralinduced perturbations onto a network of known cellular proteinprotein interactions and signalling pathways this comprehensive network will highlight rsvinduced perturbations and pinpoint rsv host dependencyfactors whose functional importance and therapeutic potential will be assessed by conducting genetic and drugbased loss and gain of function experiments biochemical and structural methods and further analyses of the cellular response in genetically or drugperturbed cells will yield insights into the molecular function of selected proteins the proposed multilevel approach will thus reveal yet unstudied proteins and pathways determining rsv growth pathology or viral host defense mechanisms which will shed light on unresolved questions of rsv biology and reveal hotspots amenable to therapeutic intervention
environmental research infrastructures delivering an open access hub and nextlevel interdisciplinary research framework providing services for advancing science and society

envrihub next develops and implements the open access hub to the data and services provision framework of the cluster of environmental research infrastructures envri and connects the environmental research community to the european open science cloud the overarching goal of envrihub next is to consolidate and advance the robust conceptual and technical structure established by the envrihub to empower the envri science cluster to provide interdisciplinary datadriven services these services will support climate change research including the development of mitigation and adaptation measures and strategies and the assessment of the climate change risks through this platform envrihub next will facilitate the integration of the environmental sciences community into eosc guided by the concept of essential climate variables in direct answer to the call topic envrihub next expands the frontiers of multidisciplinary environmental sciences by fostering operational synergies between envri ris and developing and utilising complementarities in their data and services provision the joint forces of envri and einfrastructures allow for the integration of cuttingedge information technology alignment with the eosc architecture and efficient resource allocation for the advancement of a more integrated productive and globally competitive envri science clusterthe envrihub next consortium brings together the key esfri landmarks actris anaee eric epos eric euroargo eric iagos aisbl icos eric lifewatch eric and esfri projects elter participating in envrifair the envri information technology development and support providers from the university of amsterdam seadatanet as the key marine data infrastructure fmi for the close relationship to eosc association and stakeholders and the egi foundation and members of the egi federation to implement the operation of the services and the integration with eosc core
from niches to norms drivers and diffusion of green social tipping

how common must a behavior be before a reluctant person decides to conform and can information campaigns and behavioral interventions instigate enough change to transition to a new norm with the least disruption the project addresses these topical questions contributing key insights to the ecological transition the netzero transition poses unprecedented societal challenges that cannot be tackled with technology and markets alone it requires behavioral and social change abandoning entrenched detrimental norms including those that perpetuate the fossilfueled lockin is notoriously difficult preventing change and limiting policy efficacy a nascent literature tackles social tipping interventions sti aiming at costeffective disproportionate change by pushing behaviors past an adoption threshold beyond which further uptake is selfreinforcing intervening on target groups can greatly reduce the societal cost of a policy and thus holds promise for precipitating change yet research in this field is confined to theory or smallscale experiments green tipping aims to provide an innovative and rigorous analysis of the untapped potential of tailored interventions to scale sustainable behavior and trigger systemic shift to this end i plan a fourpronged approach posit test refine validate the team derives predictions on the conditions and timing for abandoning a detrimental social norm we then test the effectiveness of a battery of interventions on representative multicountry samples to quantify the hypothesized effects this allows for refining target specific sti to be tested in controlled group experiments lastly we validate the findings by assessing contagion in the field focusing on renewable energy adoption in targeted samples elsewhere the interdisciplinary approach draws from the natural and social sciences with transformative theoretical experimental and policy advances relevant to environmental and other highstake challenges
nonhermitian transport in anderson forbidden land

this proposal is centered around the recently discovered by the pi groundbreaking way of transport in strongly anderson localized nonhermitian media initially anderson localization was studied on electrons but it was later realized that photons provide an alternative cleaner route however one fundamental problem of photonics is that of inherent material losses as the paradigm of paritytime symmetric optics indicates the resolution of this problem is the judicious combination of gain and loss via index engineering such nonhermitian paradigm provides the opportunity to overcome anderson localization after sixty years by proposing a novel way of transport unique in the complex photonic media something that is experimentally impossible in condensed matter physics the key idea is the inclusion of appropriate gainloss index profiles that allow light to cross the forbidden land of anderson via sudden jumps despite the fact that all eigenstates are localized my proposal is focused on four directions that span out of the main theme of sudden jumps the first one is the role of openness in the most general case of uncorrelated disorder a second open question is that of existence of jumps in correlated media that support constantintensity states for both questions the maximization of the effect based on wavefront shaping and index engineering is important a third question is the possibility of topologically protected jumpy transport in disordered topological insulators finally i intend to examine the more difficult and fundamental problem of manybody effects on nonhermitian jumpy transport the underlying mathematical framework is that of nonhermitian random matrix theory and pseudospectrum a widely used method in turbulence studies of fluid mechanics my project is expected to open a new path in both disordered photonics that exploit the unique features of nonhermiticity namely extreme sensitivity exceptional points and novel lasing schemes
revealing electron phonon coupling from rixs

the electronphonon interaction is ubiquitous in manyparticle physics and chemistry the strength of the electronphonon coupling epc determines countless physical properties and phenomena notably it gives rise to conventional superconductivity and plays a key role in hightemperature superconductivity the main goal of renoir is to accurately determine the epc strength in materials that are relevant for technological applications providing crucial insights into the behaviour of excitons and phonondriven phenomena resonant inelastic xray scattering rixs spectroscopy holds the promise to access phonon excitations with a remarkable highresolution thanks to the significant technical advancements achieved in recent years providing momentum dependence and bulk sensitivity however the interpretation of measured signatures remains challenging since different excitations are coupled through interactions indeed although rixs is used to measure epc it primarily reveals excitonphonon coupling due to the interaction with a core hole so far theoretical approaches mainly rely on oversimplified models that use adjustable parameters to fit experimental results limiting their applicability renoir aims to convert this challenge into the opportunity to realise the great potential of rixs to determine epc in quantum materials renoir will develop a novel parameterfree methodology to calculate rixs spectra combining accurate and reliable approaches such as the bethesalpeter equation within greens functions theory for excitons and density functional perturbation theory for phonons as a primary application renoir will focus on hightemperature superconducting materials and heterostructures celebrated for their transformative power in electronics and energy applications moreover the resulting software will be made freely available to a very wide community opening the way for understanding and predicting rixs measurements of epc in many other materials
safe and explainable critical embedded systems based on ai

deep learning dl techniques are key for most future advanced software functions in critical autonomous aibased systems cais in cars trains and satellites hence those cais industries depend on their ability to design implement qualify and certify dlbased software products under bounded effortcost there is a fundamental gap between functional safety fusa requirements of cais and the nature of dl solutions needed to satisfy those requirements the lack of transparency mainly explainability and traceability and the datadependent and stochastic nature of dl software clash against the need for deterministic verifiable and passfail testbased software solutions for caissafexplain tackles this challenge by providing a novel and flexible approach to allow the certification hence adoption of dlbased solutions in cais by 1 architecting transparent dl solutions that allow explaining why they satisfy fusa requirements with endtoend traceability with specific approaches to explain whether predictions can be trusted and with strategies to reach and prove correct operation in accordance with certification standards safexplain will also 2 devise alternative and increasingly complex fusa design safety patterns for different dl usage levels ie with varying safety requirements that will allow using dl in any cais functionality for varying levels of criticality and fault tolerancesafexplain brings together a highly skilled and complementary consortium to successfully tackle this endeavor including 3 research centers rise ai expertise ikr fusa expertise and bsc platform expertise and 3 cais case studies automotive nav space aiko and railway ikr safexplain dlbased solutions are assessed in an industrial toolset exi finally to prove that transparency levels are fully compliant with fusa solutions are reviewed by internal certification experts exi and external ones subcontracted for an independent assessment
food and nutrition datadriven innovation respectful of citizens data sovereignty

the data economy holds great promises for making food systems more sustainable data collected in digital solutions in the food and nutrition domain could be used by food producers distributors retailers to innovate towards more environmentallyfriendly activities however the currently used platforms are closed and do not allow citizens to exercise their rights to personal data sovereignty moreover the closed aspect of these platforms hinders the possibility to use these data for common good even if users gave their consent to share their anonymised personal datait is time for europe to ensure a healthy ecosystem of digital solutions for food and nutrition that respect citizens right to personal data sovereignty foodity will run a 2m pilot development program funding 12 industry and research collaborations to develop pilots demonstrating the potential of datadriven innovations in health and nutrition engaging citizens in their development the pilots will demonstrate the potential of users personal data in health and nutrition solutions to contribute to more just and environmentallyfriendly food systems reaching over 200000 citizens in our communication actionsthe foodity pilot development program we provide its beneficiaries with a set of value adding services including onetoone mentoring training on technical business and legal topics relevant as well as technical support into assets to which beneficiaries can use as building blocks the development of the pilots foodity builds on the protein h2020 project will provide stateoftheart tools and software components as building blocks for the development of personalised nutrition solutions and the poseidon h2020 project provides a deploymentready solution for trustworthy secure largescale data sharing transactions full gdpr compliance and relying on the centralised technologies and digital identity thus guaranteeing the personal data sovereignty of the end users
tealhelix building resilience through inclusive and personalized food labeling

the tealhelix advances the stateoftheart by proposing a more precise and targeted approach empowerment through personalization and inclusion using the underlying logic of motivational matching we will develop a number of new labeling approaches and digital social innovations to guide and improve consumer decisionmaking such an approach will also enable us to address resistance to sustainability ideas and tailor our interventions to the heterogeneity in individual needs of vulnerable consumers combining insights from life cycle social and economic environments analysis measurement and consumer behavior theories we will develop a new measure to assess how individual and planetary preferences for various sustainability dimensions can be aligned to reach sustainability goals next we will test a number of means of transmission traditional labeling approaches digital and brickandmortar retail labeling approaches and smart labeling approaches to sustain and scale the change we will develop integrity guidelines and new sustainability information provision standards for the industry we will leverage the interdisciplinary and transdisciplinary competencies of the consortium in marketing consumer behavior psychology environmental information sciences as well as in communication retailing and standardsetting industries the project will generate multiple novel methods to study labeling approaches and original empirical evidence through machine learningbased big data analysis largescale surveys experiencesampling and microlevel experiments finally we will integrate the findings into digital social innovations powered by ai tools to support labeling solutions as a result we will provide a deeper understanding of how various external environments shape attitudes and beliefs towards food sustainability labeling how to motivate consumers to follow sustainable labeling guidelines and how to include the ones who are in greatest need
artificial intelligence in manufacturing leading to sustainability and industry50

aims50 a collaborative innovation action aims at strengthening european digital sovereignty in comprehensively sustainable production by adopting extending and implementing aienabled hardware and software components and systems across the whole industrial value chain to further increase the overall efficiencyvulnerability of existing supply chains in crisis shows the need for shorter supply chains and for keeping production in europe ai enabled fabs will be given more output and higher sustainability which makes them more competitive on a global scale new technologies from iot and based on semantic web ontologies ml and ai will help to enable the transformation from industry40 to industry50 to create humancentric workplace conditions and to enable the transformation of european industry to climatefriendly production above all sustainability and resilience will be improvedin essence aims50 will deliver aienabled electronic hardware components systems for sustainable production ai tools methods algorithms for sustainable industrial processes sosbased architectures microservices for aisupported sustainable production semantic modelling data integration for an open access productive sustainability platform acceptance trust ethics for explainable industrial ai leading to humancentered sustainable manufacturing20 use cases in 9 industrial domains resulting in high trls will validate the projects findings in an interdisciplinary manner a professional dissemination communication exploitation and standardisation will ensure the highest impact possiblefor the first time a joint approach for implementing ai and aienabled hardware will be developed that overarches different industrial domains aims50 will result in lower manufacturing costs increased product quality through aienabled innovation decreased timetomarket and increased user acceptance of versatile technology offerings they will foster a sustainable development in an economical ecological and societal sense and act as enablers for the green deal and push the industry towards industry50the innovations will leverage the experience of the 53 partners such as renowned oems tier1 and tier2 suppliers technology and application large enterprises and smes supported by academic research specialists in fields like ai industrial hardware and software decision making and management algorithms specific outcomes of the project are 20 faster time to market participation of disabled people in the factory environment 5 in relation to the total number of employees employed in production ai based mes capability 10 increased user awareness and trust by 10 subsequent reduction of environmental footprint for wafer transport handling and storage 20 50 reduction of time for monitoring industrial equipmentaims50 is a paneuropean initiative to boost industrial competitiveness through interdisciplinary innovations establishing sustainable ecs value chains and therefore contribute to european digital sovereignty addressing urgent issues like security of supply monitoring and crisis response and chip shortage
adaptation solutions to reduce climate change impact on health in the mountain area

in the face of climate change events like covid19 crisis with high impact in specific sectors demonstrated the importance of resilient societies as such it is vital to act with a level of urgency for climate change related impacts to health sector that are proportionate to the scale of the threat be prepared and informed on the basis of the bestavailable science and practise clear and consistent communications to all those involved therefore in mountadapt various regional and local authorities and community members will take the leadership to codesign codevelop and test eleven state of the art climate adaptation solutions across the mountains biogeographical region in austria slovenia france and romania a diversity of actors of the health system will also collaborate throughout the project to demonstrate the replicability of the solutions in a diversity of settings within the alpine mountains in romania outside europe in the pyrenees in andora and beyond in the continental area in germany mountadapt will develop robust models to better understand the impact of climate change on health pr1 the project will cover the whole chain of response to a climate induced health emergency with monitoring tools pr2 that will be directly linked to short term forecasts to communicate warnings pr3 to the relevant stakeholders an emergency management tool pr4 will finally support health systems to optimally organise staff in crisis time this will be supported by guidance for transforming the health system pr5 and empowered actors with the training courses for healthcare professionals and awareness raising campaigns for citizens pr6 detailed monitoring protocols and impact assessment frameworks pr7 will allow for a continuous evaluation of a range of adaptation solutions during and after the project providing incentive for their implementation finally mountadapt will provide a full guide pr8 for the implementation of its adaptation solutions boosting their replication in new territories and will provide feedback to the health emergency preparedness and response authority
smartfuse gamechanger to create a new goldstandard for spinal fusion surgery with wirelessly technology

spinal surgery has a significant failure rate of 18 leading to devastating complications for patients with the knowledge that bone remodels naturally using electric signals we are transferring cutting edge neuromodulation technology into the orthopaedic field we incorporate our proprietary wirelessly powered bioelectrical stimulation system into standard orthopaedic implants our first product smartfuse addresses the issues of nonunion and bone overgrowth in spinal fusion surgery by harnessing the local delivery of electrical stimulation to accelerate bone growth and control the formation of new bone in addition to accelerating and controlling bone growth smartfuse can measure the quantity and quality of new bone enabling realtime feedback on the progress of healing to the physician and other caregivers through eic funding we will complete a clinical pilot trial and prepare a pivotal study demonstrating efficiency and safety to achieve the necessary market approvals
novel strategies for the assembly of sp3 carbonboron bonds development of multicomponent reactions of boryl radicals using photocatalysis

boroncontaining small organic molecules are fundamental buildingblocks in synthetic chemistry due to their use in the nobel prizewinning suzuki crosscoupling the invention of novel chemical reactions that form carbonboron bonds in unprecedented ways is of strategic importance to facilitate the discovery evolution and manufacture of molecules that impact our societythe overarching aim of this project is to explore a conceptually novel approach where sp3 carbonboron bonds are assembled through the reactivity of bcentred radicals boryl radicalshere we propose to develop unprecedented multicomponent reactions based on the photocatalytic generation of boryl radicals from homoallylic amineboranes followed by their cyclization and then diversification through a final reaction with a broad range of trapping agents this novel synthetic approach will provide a novel class of borylated building blocks that have not been prepared before and we will study their application in metalcatalysed crosscouplings this methodology will be applied to streamline the preparation of difficulttomake drug analoguesthe proposal capitalizes on recent developments of the host group that pioneered the use of amineboranes in photoredox catalysis for boryl radical generation and utilizationthe development of this innovative project at rwth aachen will create new tools in bioorganic chemistry and facilitate the preparation of highvalue materials its implementation will be facilitated by generating transferring sharing and disseminating knowledge and will enhance my future career following the training plan envisioned