Dragon09/odtu_chatbot huggingface dataset:
closedloop control of fungal materials

in an interdisciplinary approach loopoffun will develop a conceptual and technological framework for the efficient and effective development of fungalbased living materials with open and closedloop control of mechanical and structural properties this framework is based on four pillars i the development of genetically encoded sensors and actuators for reading and writing mechanical and structural material properties as well as the assembly of these modules to open and closedloop control circuits ii the identification of filamentous fungi with naturally evolved superior properties for material synthesis as well as accessing them for synthetic biologybased programming iii the development of the 4d explorer an automated robotized platform for the efficient and effective development of engineered living materials based on iterative designbuildtestlearn cycles and iv a holistic approach for designing the final products based on the novel opportunities of loopoffun advances following this framework loopoffun will produce materials featuring open and closedloop control of mechanical and structural properties the intrinsic control features make the materials robust towards environmental fluctuations while aligning material properties with usage characteristics the development and applicability of the novel materials will be shown by producing two different demonstrator materials at cmm scale one as structural material and the other one for pollutant degradation the framework developed here as well as its underlying routines can generically be applied for the design and optimization of elms made of other organisms and matrices loopoffun has an effective strategy for ip protection as well as for dissemination and interaction with commercialization partners loopoffun will comprehensively address its stakeholders and establish a communication strategy designed at promoting elms as a sustainable contribution to the eu technology field
fiscal reform in egypt from the achaemenids to the ptolemies

the project challenges the notion of a dramatic break in institutional practice following the greek conquest of the eastern mediterranean in the hellenistic period 33230 bce by reconstructing the genealogy of the ptolemaic fiscal system in egypt the best documented hellenistic state building on my previous research on ptolemaic taxation i will establish the extent to which these kings developed earlier fiscal practices especially those in evidence under the achaemenid rulers preceding them both inherited and new the main objective encompasses 3 work packages the documentation produced by the respective regimes the rationale of their fiscal systems and the collectors and beneficiaries of the taxes to this end i will combine for the first time documentation written in greek demotic and aramaic and approaches divided over ancient history egyptology and semitic studies resulting in the longlasting collaborations required for exploring interconnections across the mediterranean a major aspect of the project is the creation of a pioneering database of persian egyptian fiscal texts training will focus on acquiring a working knowledge of aramaic and the open science skills required for the highly collaborative research the project will be hosted at the cnrs joint research unit arscan in nanterre and supervised by dr agutlabordre specialist of achaemenid egypt and director of achemenet the major platform for dissemination in achaemenid studies the achaemenid expertise centered in paris is the perfect complement to my background in greek and demotic papyrology learning aramaic will moreover provide me with a uniquely broad perspective on later egyptian history leading to more groundbreaking research in the future communication measures will focus on the long history of fiscal systems and their impact on society inviting greater reflection on our own democratic societies a key eu priority and will include stakeholders in contemporary egypt
virtual embodied reminiscence therapy in extended reality

vertex is a proof of concept project that aims to use virtual reality vr to improve the wellbeing of older adults the project is based on the idea that psychological factors play a key role in agerelated deterioration and that older adults attitudes towards aging may be a significant predictor of physical and cognitive frailty participants will experience scenarios and events from their youth such as being in a 1970s living room they will be transported to memorable historical events from the time of their youth such as famous concerts the project aims to evaluate the effects of this experience on aging and provide evidence for the benefits of such an intervention with the goal of supporting a spinoff the project will involve several stages a further implementation of the vr application continuing from results of an experimental study in the associated advanced grant motive the carrying out of a further experimental study based on the new application the rollout of the application to community centres providing opportunities for many people to experience this in such institutional settings and the rollout to individuals to use in their homes on a loan basis focus groups with stake holders such as community centre managers will be carried out to assess the potential of the introduction of the vertex system as part of what can be offered to clientele the business opportunity and regulatory framework will be investigated all this information will be used to create a business plan that will make the case for investment to take the project forward in a spinoff to make vertex available on a large scale
reaction robot with intimate photocatalytic and separation functions in a 3d network driven by artificial intelligence

mimicking the chemical production of nature is a well pursued dream in the scientific community scientific progress is limited by the lack of efficient synergies among complex functions and by a much smaller research library than nature catart will explore new synergies in reaction robots that mimic nature in a much faster way this will be achieved using h2o and co2 as model substrates we propose systems containing 3d quantum dot networks with the ability to simultaneously harvest sunlight by luminescence photocatalyze substrates and separate products these phenomena will be managed by artificial intelligence leading to reaction robots that autonomously learn and instantly maximize productivity the envisioned system will revolutionize the way chemicals are produced the combination of expertise in photonics machine learning catalysis organic chemistry and engineering from 5 academic 1 research center 1 sme and 1 industrial partner will enable a successful pathway into feasible reaction robots catart will contribute to a gamechanging chemical technology placing eu industry and society in a privileged situation to face future economic and environmental constraints
woodndame reconstructing the climate and medieval woodland management strategies from the charred woods of notredame de paris contribution of dendrochronology wood anatomy and carbon isotope data

the unfortunate event of april 15th 2019 the notredame de pariss cathedral ndp fire brought a unique and extraordinary opportunity to study past environmental conditions prevailing in the paris basin through charred oak wood pieces partly dated between the 11th and 13th centuries the charred woods from the roof structure of the ndp open a unique window into the medieval climate anomaly 9501250 ce a period characterised by warm and dry summers that profoundly influenced society during the high middle ages hma especially in europe furthermore the major pieces of the roof framework correspond to trees of ca 2025 m in height with small diameters 3050 cm which suggest specific woodland management by investigating uncharred and charred tree growth rings from ndp the woodndame project will aim to provide an annual and seasonal high temporal resolution reconstruction of the interactions between climateforestwoodland management systems during the hma to reach this goal the project will first develop a pioneering and interdisciplinary methodology combining dendroanatomical features and stateoftheart isotopic 13c analysis to provide i a comprehensive picture of the impact of carbonisation on oak wood anatomical and chemical properties at inter and intraring scales and ii a modern reference using these multiproxy approach based on 15 wood stands in the paris basin for disentangling dendroclimatological and woodland management signals
hub molecules of metabolism and signalling key regulators of life

metabolic disorders are a major burden on the european population and health care systems moreover metabolic perturbations contribute substantially to other pathologies such as neurodegenerative disorders and cancer the causes of metabolic dysregulation are manifold and lead to pathological shifts often in response to imbalanced nutrition likewise changes in metabolism affect signalling mechanisms and gene regulation aggravating the pathology the mechanisms of this interdependence between metabolism and signalling are still not well understood hubmol will fill this knowledge gap and open new horizons by exploring the functional duality of a set of small molecules that are involved in all cellular functions the hub molecules of life hubmols including atp sam sadenosylmethionine and the vitaminderived cofactors nad fad and coa they are key components of both metabolism and signalling networks and are interconnected for example through their participation in posttranslational protein modifications ptms the complexity of this emerging area requires interdisciplinary scientists equipped with comprehensive competences covering experimental computational and systems biology as well as clinical medicine therefore the main hubmol goal is to provide worldclass training in these areas to 16 dcs enabling them to establish fundamentally new insights into cofactor biology and lay the ground for patienttailored vitamin supplementation concepts the strategic exposure of the 16 young researchers to leading european academic institutions companies and clinical environments combined with systematic training in entrepreneurship and transferable skills will strongly improve their employability for positions in both private and public sectors hubmol will impact patients and society by developing therapies for metabolic and regulatory imbalances based on hub molecule biology
ai in the lead when why and how ai leadership will not work

millions of employees around the globe work for an ai manager that structures their tasks and monitors their performance while companies hope that such ai managers will lead to substantial performance benefits it is critical that ai transits from a bureaucratic manager to an inspiring transformational leader if companies want employee performance and satisfaction to peak to date however research on the consequences of ai leadership cannot give relevant insights because scholars have studied employees in hypothetical scenarios or simplistic environments that do not mirror the complex realities of contemporary workplaces my goal within the marie skodowskacurie fellowship is to tackle these problems by investigating interactions between employees and ai leaders from an interdependence theory view across two empirical studies with more than 1400 employees i will examine how ai leaders programmed via a novel natural language processing tool affect employees task performance and satisfaction when they really interact with ai leaders across interdependent tasks different leadership styles and work constellations given the rise of ai managers within europe this research will provide relevant scientific practice and policy insights aimed at sustaining a highperforming and satisfied european workforce of the future i will accomplish these ambitious goals by combining my expertise with the profound knowledge of interdependence theory and longitudinal methods from maastricht universitys scholars in sum this action and the foreseen two toptier publications will substantially advance my research both theory and methods skills and extend my professional and practice network maastricht university is an ideal fit for this fellowship that will be a significant boost for my academic career and will provide a cornerstone for becoming a mature and renowned scientist in the field of ai leadership in particular and organizational behavior in particular
surfaces on fourfolds

enumerative geometry is the field of algebraic geometry dealing with counting geometric objects satisfying constraints for instance in ancient greece apollonius asked how many circles are tangent to three given circles in the plane it is a very active area due to unexpected connections with other fields of mathematics and physics so far modern enumerative geometry is largely about counting curves recently i worked on foundations for a theory for counting surfaces in 4dimensional spaces this is the starting point of this proposal which is about discovering new properties of 4dimensional spaces using surface counting project a explores surface counting in calabiyau hyperkhler and abelian fourfolds in a series of concrete settings the impact is this when the count is nonzero for some 22 class on x then it implies the variational hodge conjecture for x the hodge conjecture is one of the millennium prize problems and the first open case is for 22 classes on 4dimensional spaces project b investigates 4dimensional singularities it is about discovering a connection between the geometry and algebra hidden in the singularity called crepant resolution conjecture the impact is this for 3dimensional singularities the crepant resolution conjecture does not work when surfaces get contracted by embedding 3dimensional singularities in 4 dimensions i expect to solve this open case project c shifts from counting surfaces in 4dimensional space to counting representations of 4dimensional noncommutative rings the same move for 3dimensional rings opened up an entire field and this project will do the same for 4dimensional rings interesting examples include sklyanin algebras noncommutative resolutions of 4d gorenstein singularities and quantum fermat sextic fourfoldsthe common denominator of these projects is that they involve 4d phenomena that could previously not be explored and are made accessible by this proposal
resolving the multiscale multiphase universe

galaxies grow through the reciprocal cycling of gas between disks and their massive surrounding halos despite major strides in observations and simulations the physics regulating this galactic ecosystem remains unclear primarily due to the multiphase multiscale nature of circumgalactic gasall current cosmological simulations fail to capture the multiphase structure of galactic halos and exhibit a lack of convergence in even the first order gas properties such as the amount of cold gas found this strongly limits their applicability in the circumgalactic medium to interpret existing observations as well as their predictive powerremmu will breach this barrier by implementing an innovative multifluid subgrid model to track unresolved gas phases both in hydrodynamical and radiative transfer simulationsthe objectives of remmu are to 1 run the first cosmological simulation with converged gas properties and 2 perform a robust comparison with absorption as well as emission line data of galactic ecosystemsthis work will shed light on the drivers of galactic growth and feedback mechanisms the key challenge to understand the formation and evolution of galaxiesonly recent advances in fundamental hydrodynamical theory have constrained the parameter space sufficiently and thus opened the pathway for subgrid models of unresolved gas simultaneously a rapidly growing body of observational surveys started to revolutionize the available data on galactic ecosystemshence remmu is particularly timely combining these advances it will exploit the theoretical progress in a full cosmological context and establish firm predictions for comparison with observations across cosmic time ultimately breaking the current impasse the pi has made significant contributions in the theory of small scale hydrodynamical as well as radiative transfer problems and is therefore uniquely suited to establish a worldleading team to carry out remmu
fuel recycle and experimentally demonstrated manufacturing of advanced nuclear solutions for safety

fredmans aims to increase safety and efficiency in both nuclear power production as well as the recycling of spent fuel changing from oxide fuel to a more fissile dense material with higher thermal conductivity can enhance both safety of operation and the economic impact of nuclear power at the same time a transition to a greener society with respect to both the generation and usage of electricity will drastically increase consumption of finite materials generation is predicted to increase by 1620 times in particular as electrification replaces the direct use of fossil fuels for heating and transportation the nuclear industry can mitigate their part of the resource use through the recycling of spent nuclear fuel this can enhance the actual power output by about 20 times however today there has been no full industrial demonstration of the complete recycling of nuclear fuel although one time recycling including of plutonium has been used on large scale for many years eg in france the model fuel is nitride fuel it may be more energy efficienteconomically advantageous to recycle not only the fissile material but also the required isotopically enriched n15 that is otherwise currently a costly raw materialthe project sets objectives that address the overall goals of the set plan snetp and eera jpnm sra to answer the specific aims of this call relating to the safety of advanced fuels and their recyclability in particular nitrides highlighted in the call we will prove that advanced fuels are a viable option for industrial use that can enhance the safety sustainability and economics of nuclear power operationthe work packages are advanced manufacturing recyclability waste management and industrial applications across all these wps the crucial aspect of safety is held in high focusas the real safety of future nuclear systems is achieved through well educated people an extensive training education work package is included
statistical machine learning for dynamic network modelling

networks are ubiquitous in the society technology biology and economy being able to perform accurate inference and prediction on such data is highly nontrivial due to their large size and complex dynamic behaviour in many networks such as social ones connectivity patterns and network structurechange dynamically on the other hand technological networks such as water systems have fixed structure but dynamic processes might take place on them appear such as failures dynemo is a crossdisciplinary project that aims to provide a novel explainable yet scalable framework using statistical machine learning to model dynamic behavior on networks with the goal to answer crucial scientific questions with social and environmental impact influencing public policy the project combines statistical tools that ensure flexibility data adaptivity and interpretable parameters with deep learning tools ensuring efficiency and scalability the methods will be used to answer two highly impactful scientific questions given access on unique datasets the first is how companies worldwide can maximize their socioenvironmental impact aligned with un sustainable goal strategies the second question is how to quantify and predict behaviour of cascading pipe failures on the water distribution systems in cyprus the results will detect patterns and perform prediction thus influencing public policy in alignment to the eu strategic goals on monitoring water systems the fellow and the supervisor have complementary expertise which in combination with the plan the arrangements and environment provided by the host institution ensure a successful implementation of this novel and timely project as well as an effective dissemination and utilisation of the expected outcomes the results of the proposed action are expected to have important conclusions on socioenvironmental impact and can shape decision making and policy making in the eu and around the world
higherorder motor control of stochastic behavior in an uncertain environment

decisionmaking behaviors often occur in the absence of clear instruction to guide action instead theories and experiments have predicted that the brain must compute a decisionvalue based on past experience to select the best action this implies that the action with the highest subjective value should always be chosen however behavior is often stochastic with variability from trialtotrial to resolve this longstanding paradox motorhead will take full advantage of stateoftheart in vivo neuronal recordings and computational methods in behaving rodent to bridge for the first time the gap between deterministic decisionsignal and stochastic motor commands achieving thus an unprecedented level of understanding of these unpredictable behaviors indeed despite decade of intensive work key questions remain unexplored i how such a deterministic decision signal is maintained without necessarily causing movement ii and how it is then converted to a final motor command with trialbytrial variability here we hypothesize that these two operations occur in higherorder motor areas and more particularly across recurrent cortical layers of the secondary motor cortex of rodents specifically we posit that i distinct populations of layer l 5 pyramidal neurons pns generate specific movement according to the decision statistics provided by l23 pns specific attractor architectures with different stability to noise perturbation could cause the system to behave more or less randomly ii this topdown excitation could be dynamically gated by bottomup plasticity forces from rewardrelated structures which modulate decisionvalue to account for past choice outcome notably when the action no longer generates the expected outcome to achieve this breakthrough we propose an ambitious system neuroscience approach at high spatial and temporal resolution to illuminate the cellular principles underlying the control and transformation of decision variable