Dragon09/odtu_chatbot huggingface dataset:
uncertainty quantification and modelling bias inhibition by means of an agnostic synergistic exploitation of multifidelity data

the unbiased project aims at developing an innovative scientific modelling paradigm capable of mitigating potential cognitive biases affecting the modelling process in engineering applications nowadays modelling is mostly a subjective process strongly driven by the prejudice of the modeller and anchored to the knowledge of welldetermined preset physics in practical applications this often results into models affected by epistemic uncertainty datadriven techniques open the path for the construction of computerized models that are able to learn the physics underlying a complex system from the available data alone requiring little if not at all subjectivity interestingly these tools are generally used to obtain mere predictions and no credit is usually given to the possibility of translating the learned patterns and relations into interpretable theories and hypotheses i propose to assess the physics learned by datadriven algorithms in terms of compliance with fundamental principles eg laws of thermodynamics and to test them against a priori subjective hypotheses this will expose differences between the actual experiment and the modellers understanding of it this allows for inverting the rationale underlying the classical modelling process from a theorytodata deductive assessment to a datatotheory inductive inference the ultimate goal is to advance the stateoftheart by crafting a twoway modelling framework combining the hypothesesdriven and the datadriven approaches to mitigate the consequences of biased modelling choices and improve the knowledge about complex physical systems the proposed paradigm is not to be intended as a substitution of the classical scientific modelling method but rather as an extension of it the project is conceived with aerospace applications in mind but the proposed methodology is straightforwardly applicable to the modelling of any physical problem of interest for the academy or the industry
neuromodulatory control of brain network dynamics

spontaneous brain activity the most expensive metabolic process of the human brain is highly dynamic and continually evolves over timescales of seconds human neuroimaging has made it possible to map dynamic patterns of spontaneous network activity with increasing precision however our understanding of the origin function and organization of this phenomenon remains alarmingly limited this project aims to elucidate the physiological mechanisms and operational principles that govern spontaneous network dynamics termed here brain network dynamics bnd to achieve these goals i will establish an integrated research platform that combines advanced manipulations and recordings of bnd in the awake mouse brain to comprehensively probe the mechanisms that operate bnd i will carry out two complementary sets of causal manipulations that are conceptualized as exogenous or endogenous neuromodulation depending on whether they encompass synthetic optogenetically generated aim 1 or intrinsic neurotransmitter related aim 2 modulatory mechanisms respectively using this approach i will a uncover the rhythms that causally sustain bnd and establish how bnd causally responds to and can be controlled by mechanisticallyprecise exogenous neuromodulation
endoplasmic reticulum remodelling via erphagy pathways

the endoplasmic reticulum er is the most extensive endomembrane system of the cell that undergoes continuous remodelling and adaptation to fulfil required functions in synthesis and transport of cellular components a major driver of er remodelling is erphagy a selective autophagy pathway that targets excess or damaged portions of er for degradation by linking the er membrane to the autophagic machinery erphagy receptors play central roles in this process however beyond the identities of erphage receptors we have little understanding of the mechanisms underlying erphagy and the dynamics of er remodelling this proposal aims to decipher the mechanisms by which erphagy receptors especially those containing reticulonhomology domains rhd drive the dynamic process of er remodelling in a celltype specific fashion we will determine how erphagy is regulated by sitespecific receptor ubiquitination and by the formation of erphagy receptor clusters particularly how ubiquitination regulates cluster size dynamics localization identity and composition we will combine structural computational and functional approaches to determine at the highest possible resolution how ubiquitination and clustering of erphagy receptors controls the multistep process of erphagy and membrane remodelling we aim for a comprehensive understanding of the distinct mechanisms involved in er remodelling in different cell types and in response to various stress conditions this mechanistic knowledge is essential to explain how changes in erphagy and er remodelling impact on the pathophysiology of human diseases from bacterial infections to neurological disorders these novel and groundbreaking discoveries will elucidate an erphagy receptor code controlling er remodelling in health and disease moreover erremodel will provide a conceptual framework for future studies into the dynamic regulation of other cellular organelles via ubiquitindriven selective autophagy
gray array for neutron induced inelastic crosssection measurements

neutron inelastic scattering measurements can be employed for the advancement of both fundamental research and applications they are essential for the development of new generation nuclear energy systems in particular for n xn and n ng reactions which are important as they modify the neutron spectrum and population and produce radioactive species in addition to nuclear technology applications neutron inelastic scattering measurements can also advance fundamental research providing information on nuclear reaction mechanisms since they are based on a nonselective method for studying nuclear excited statessuch reactions can be studied through highresolution gammaspectroscopy as a function of the incoming neutron energy employing high purity germanium hpge detectors the ntof facility hosted at cern offers a very suitable beam line for such measurements offering a high instantaneous neutron flux in the neutron energy range of interest of 100 kev up to 100 mev and an excellent neutron energy resolution due to a short driver beam width and a flight path of more than 180 metres the ntof collaboration developed a prototype hpge detector suited for this application and has performed test and proofofprinciple measurements already the present project aims at developing a complete understanding of the existing detector and developing an optimised array of hpge detectors for this application based on several potential physics cases such a setup will offer the opportunity for neutron inelastic measurements at ntof and has the potential to provide high precision data for the nuclear community furthermore such an array can also be employed in neutron capture crosssection measurements as well as prompt fission gamma ray spectroscopy
forging the blades of the future with composite materials with circular safe and sustainable design

bladescirc will be one of the pioneering projects of exploring biobased approaches to improve the sustainability of the wind energy sector to this end the project will research on biobased materials to develop new composite these new composites will combine high strength biobased carbon fibres and biobased structural resins with a dynamic performance the dynamic performance provided to the structural resins at molecular and supramolecular level will be the bases to design and develop a set of technologies for improving the lifetime efficient decommissioning and increase the circularity of the offshore and onshore wind energy systems i coatings with selfhealing and ompniphobic properties for lifetime spanning ii debondable adhesives formulation for enhanced recycling and maintenance and iii green solvents and evolved enzymes for chemical and enzymatic degradation processes to recover highquality fibres the proposed innovations are grounded on the results of previous or ongoing projects ecoxy bizente vibes libre or biouptake that have shown the high potential of the biobased solutions which in addition to the modelling testing validation and multicriteria assessment stages will ensure that the new composite will have a competitive performance compared to the existing and commercial solutionsbladescirc will collaborate with the etip wind to engage stakeholders and promote collaborations and disseminate the results in the most relevant scientific forums
germanium quantum processors more robust available

quantum computers promise to enable a computing power far beyond the capabilities of modernday classical and super computers and are expected to revolutionise research in among others chemistry medicine and materials research however a quantum computer capable of solving useful problems will require millions of highquality quantum bits qubits working together currently there are several qubit hardware platforms that are being studied and commercialised this commercialisation mainly focuses on superconducting transmon qubits photonic qubits and qubits made with trapped ions although these platforms enabled the first breakthroughs in quantum computing research and are developing steadily the large size of the qubit systems may hamper their scaling towards the millions of qubits required for useful quantum computations groove will overcome the scaling problem that most quantum bit platforms will face by focusing on the semiconductor germanium platform germanium qubits stand out due to a small footprint welldefined longlived qubit states and compatibility with semiconductor manufacturing this is highly promising for scalability we will develop highyield robust qubits and scale up to 16 qubits which we will make available in the cloud in parallel we will write a business plan and prepare the launch of a startup company already during the grant period given the strong commercial potential of this technology our project will greatly contribute to the eu ambition of being in the forefront of the second quantum revolution by enabling a revolutionary technology fulfilling current and future market needs
nextgeneration engineering of gasfermenting cell factories through largescale systemslevel maps

gas fermentation provides a unique opportunity for the circular bioeconomy by enabling carbon recycling from gaseous waste feedstocks into valueadded bioproducts using microbes acetogens are ideal biocatalysts for gas fermentation as they use gas co andor co2h2 as their sole carbon and energy source evidenced by the commercialisation of the waste gastoethanol conversion process despite recent efforts our understanding of genotypephenotype relationships in acetogens is still minimal this however is required for rational metabolic engineering and expanding the product spectrum of acetogens to unlock their full potential genesys aims to engineer superior gasfermenting cell factories through revolutionising systemslevel understanding of acetogens and pioneering a new workflow for making largescale arrayed crisprengineered microbial strain libraries first essential genes for autotrophy of the model acetogen clostridium autoethanogenum will be determined using a genomewide crispri screen we then create 750 singlegene knockdown strains of essential genes transcription factors and proteome dark matter using a novel pooledtoarrayed workflow combining synthetic biology automation and dna sequencing next we will generate systemslevel phenotype maps for up to 750 strains through highthroughput gas fermentation and omics analyses big data will be translated into a systemslevel acetogen knowledgebaseabasethrough integrated bioinformatics and machine learning metabolic modelling and data engineering finally we apply abase to engineer acetogen cell factories from the unexplored territories of essential genes transcription factors and proteome dark matter for improving production of ethanol and acetone this project will create superior gasfermenting cell factories advance fundamental understanding of acetogen metabolism and pioneer a new workflow for creating largescale arrayed engineered microbial strain libraries
protection from viruses with epidemic and pandemic disease outbreak potential through development and clinical testing of a novel capsid virus like particle cvlp vaccine

the enormous health and economic impacts of epidemics and pandemics has become one of the defining public policy and health issues in europe and throughout the world a new urgency is required to understand rapidly respond to and vaccinate against viruses with epidemic and pandemic potential the major challenge for the modern vaccines is the induction of longterm protective immunity as clearly demonstrated by fast waning of protection for current covid19 vaccines vicidisease is an ambitious project which combines existing cuttingedge expertise in a tried and tested consortium with new advances in this critical field the consortiums main objective is to develop a vaccine candidate portfolio and perform a clinical proofofconcept study to enable stocks of vaccine candidates ready for further development phase 23 in case of pandemic outbreaks the primary candidate will be nipah virus niv a highmortality viral disease with no vaccines or treatments our vaccine is based on niv g protein displayed on capsid virus like particle cvlp enabled by adapting template processes from our recent covid19 vaccine currently in phase 3 and expected to provide bestinclass longevity as shown for covid19the vicidisease consortiums objective is to develop and perform a clinical proofofconcept study for a highly effective 90 protectionlongterm protective 2 yearsniv virus cvlp vaccineby adapting template processes established for our covid19 vaccine currently in phase 3within 48 months in a phase 12a clinical study to help protect medical workers and the public from future niv and hendra virus outbreaksand establish a pipeline of novel filovirus vaccines through preclinical proofofconcept studieswe address the call topic by improving pandemic preparedness and response through development of a niv vaccine to ph12 and two filovirus vaccines to preclinical proofofconcept
proteinregulated artificial cell populations and tissues

artificial cells are soft matter micronsized compartments that display features which are normally associated with living cells only these include aspects such as metabolism growth and communication artificial cell research is motivated by the fact that the creation of synthetic compartments with lifelike features leads to a better understanding of the complexity of living cells and to the ability to design systems with interactive behavior research has until now been mostly focused on the development of individual artificial cells however in biology living cells dont act fully independently their behavior is much affected by the proximity of other cells cells therefore display interdependence for both single cell populations of bacteria and for more strongly integrated multicellular systems such as tissues with proartis i aim to explore a new direction in artificial cell research by creating artificial cell populations with interdependent and autonomous function to achieve this goal i will optimally benefit from our recently developed artificial cell platform that allows the dynamic uptake and release of proteins this is a powerful method for the exchange of active components that can be employed in process regulation this investigation is of great interest as it allows me to take the functional integration of different artificial cells to an advanced level from a fundamental point of view this will shed more light on how natural multicellular processes are governed it furthermore provides exciting opportunities to develop concepts that can be translated to a next generation of dynamic soft matter systems i furthermore aim to functionally integrate artificial and living cells this ambitious objective addresses an underexplored area in synthetic biology with much potential in biomedicine if the challenging task of integration succeeds i have developed a technology that directs and modulates biological processes with unprecedented precision
multimaterial design using 3d printing

additive manufacturing am has the economic potential to complement conventional manufacturing processes especially in the production of complex multimaterial mm components to exploit the full benefits of optimized lightweight structures it is usually required to use multimaterials with different physical properties still multimaterial combinations from conventional processes are not transferable to am due to residual stresses cracks or thermal expansion rates of the different materials furthermore geometric shape and position tolerances as well as recycling strategies for powder waste postprocessed waste and the component itself are not yet defined based on the 3d printing processes pbflb and ded this project aims at the concurrent engineering of designing processable multimaterial optimized alloys development of design concepts for multimaterial structures with specific simulations for load cases and topology optimizations and an extensive process adaption alloy and process development will be aided by advanced integrated computational material engineering approaches that combine thermodynamics microstructure and process simulations through machineactive learning resulting in shorter material development cycles for bulk and powder materials recycling of multimaterial components via innovative concepts will promote the sustainability of multimaterial additive manufacturing this adaption will lead to increased process reliability and speed enabling the dissemination of mm manufacturing in am for the entire industrythe consortium brings a wide range of international expertise to the table from materials research and digitization to the manufacture of multimaterial components it consists of startups research institutions and market leaders in additive manufacturing industrial endusers cover automotive aerospace and aeronautic applications with specific use cases
create mature and grow internet commons

we propose the logical next step to fulfill the ngi vision of reimagining and reengineering the internet our overarching goal is to contribute to a future technology stack that reinstates humanist values we believe this to be vital for a healthy democracy a level playing field for businesses technological sovereignty and crossborder collaborationthe fund will have have a major beneficial impact on society and economy we improve security and robustness of the overall technology supply chain build human and institutional capacity in an inclusive way make the transition to a greener tech stack increases european competitiveness and strategic autonomy and reestablish a prominent role for the commons in standards development through our efforts we structure and grow the commons at global scale together with likeminded actors and support more proactive policy makingwe attract select and support the right people to work on strategic projects and through that build up and maintain a coherent portfolio aligned with the overall intervention logic of ngi we continue to operate the agile effective and lowthreshold funding mechanism of ngi0 the past 5 years this has shown to be capable of serving the global talent pool allowing anyone to contribute to creating and improving digital commonswe provide multidisciplinary technical and strategic support from leading domain experts and thus speed up market readiness we scale up projects seeking to mainstream the commons approach everywhere we can we provide mentorship on open source compatible business models and set up business circles with successful foss entrepreneurs we provide access to reliable legal infrastructureour work contributes to strengthening the european technosocial ecosystem of the commons and creating a healthy economic underpinning for long term sustainability together with our community our goal is to steer towards the internet our societies deserve
magnetic multiscale modelling suite

magnetic materials are essential for many applications in energy information and communication technologies however the complex phenomena at different length and time scales often limit the development of new magnetic materials and devices the goal of this project is to develop a magnetic multiscale modeling suite that will allow the design and optimisation of magnetic materials and devices based on multiscale modelling characterisation and numerical optimisation to achieve interoperability between software and analysis tools we will establish a domain ontology for magnetic materials we will collaborate with eu magnet industry to create standards for linking simulation software for magnetic materials from first principles simulations and micromagnetics to device level simulators mammos will use artificial intelligence ai to fuse modeling and characterization data ai methods will identify and correct systematic errors in the simulation data enabling more accurate predictions moreover ai models can fill gaps where measurements are not available ai models can also serve as a surrogate in multiobjective optimisation optimisation will guide further experiments or simulations reducing the development time in mammos we will apply this approach to speed up the development of permanent magnets with reduced critical elements for electric machines and to optimise the layout of magnetic field sensors for high linearity range the mammos software will be validated against benchmarks defined according to the industrial requirements for electric machine and sensor design the multiscale magnetic materials modeling suite will be made open source to enable easy access to highend simulation tools interoperability will facilitate data sharing and reuse among researchers and industries interpretable machine learning will reveal insights into the physics and chemistry of magnetic materials and guide the discovery of new materials for the european green deal