Dragon09/odtu_chatbot huggingface dataset:
evolutionary dynamics of pancreatic cancer at singlecell and spatial levels

pancreatic ductal adenocarcinoma pdac is the most common type of pancreatic cancer a disease with a dismal prognosis pdac has an especially high tendency of quickly metastasizing and becoming resistant to therapy and the mechanisms by which this occurs are largely unknown recent evidence suggests that saltatory or burstlike evolution mediated by complex genomic rearrangements cgrs may be especially relevant in pdac altering multiple cancer genes in a single event however quantifying cgrs requires specialized techniques such as strandseq and therefore the relative importance of cgrs simple structural variants and point mutations in pdac evolution remains unclear in this project we will use a genetically engineered mouse model gemm that develops de novo pdac to longitudinally track pdac evolution by singlecell and spatial multiomic methods using strandseq to accurately detect cgrs thus we aim to create longitudinal singlecell and spatial multiomic atlases of pdac at three key evolutionary steps precancer therapynaive pdac and posttherapy pdac in addition we will compare our atlases to human pdac data from the spatial and temporal resolution of intratumoral heterogeneity in 3 hardtotreat cancers saturn3 consortium in this way we will model pdac evolution at various time points quantifying the relative importance of gradual vs saltatory evolution and determining how evolvability changes over time moreover we will infer the role of selective pressures from the tumor microenvironment eg immune cells and cancerassociated fibroblasts in shaping pdac evolution finally we will explore how all these factors interact with the high intratumoral heterogeneity observed in pdac overall this project will answer longstanding questions about the evolutionary dynamics of pdac
towards future interfaces with tuneable adhesion by dynamic excitation

macroscopic adhesion is of utmost importance in key technologies such as soft and climbing robots aerospace grasping technologies humanrobot interactions pickandplace manipulators commonly bioinspired adhesives interfaces have been characterized from a quasistatic perspective neglecting the effect of dynamic excitations nevertheless recent observations suggest that added microvibrations may be exploited to strongly enhance and rapidly tune macroscopic adhesion by exploiting the multiplicative coupling between geometric and viscoelastic vibrationinduced enhancements of macroscopic adhesion surface aims at designing future soft interfaces with unprecedented and tuneable adhesion strength to this end i aim to i develop highly efficient numerical tools for studying adhesion of patterned soft surfaces under microvibration excitation ii unveil the coupling effect between topography and viscoelasticity that determine the interfacial strength and toughness iii design optimal surface topography and excitation for macroscopic adhesion tuning by exploiting artificial intelligence models to unveil new mechanisms for adhesion enhancement iv prove the adhesive performance reached by experimentally testing highresolution 3d printed interfaces with the desired topography and superposed microvibrations so far the adhesive performance of bioinspired patterned interfaces has been limited by manufacturing capabilities at the micronanoscale surface groundbreaking approach aims at exploiting dynamics excitation to outperform stateoftheart adhesive interfaces by exploiting artificial intelligence models surface aims at revealing new mechanisms for adhesion enhancement which lay beyond our intuition rapidly tuneable strong adhesive interfaces have the potential to revolutionize cuttingedge technologies based on soft adhesive interfaces that require to move and place objects quickly and with accuracy
a multidimensional feature space for predictions in the brain

the brain uses prior experiences to make a best guess of the noisy and ambiguous information in the world around us these predictions are constantly updated as new sensory information becomes available yet the computational resources of the brain are limited what is a viable model for representing and updating predictions in the brain that is both computationally efficient and neurobiologically plausible i hypothesise that the brain represents predictions by decomposing them into their constituting features and preactivating those features considered instrumental in explaining the sensory input thereby allowing to update only parts of the prediction without revising the whole prediction the proposed project fuses concepts of multidimensional feature encoding cortical processing hierarchies and activitysilent working memory to develop a computational model of prediction and error coding using artificial neural networks the implications of this model will be empirically tested in human visual perception using functional magnetic resonance imaging with laminar precision this project aims to gain a deeper understanding of the compositionality of predictions as a building block of fast and accurate perception and bears the potential to transform our understanding of the neural mechanisms giving rise to predictive processes the project will be carried out at the donders institute for brain cognition and behaviour in the lab of floris de lange a leading expert in the field of predictive processing as an msca postdoctoral fellow i will conduct cuttingedge research at the intersection of psychology neuroscience and artificial intelligence which will give me the opportunity to hone my methodological and management skills as well as develop my own research program
skin microbial devices

the longterm vision and ambition of the skindev consortium is to complement the human skin microbiome with smart skin microbial devices ssmds in atopic dermatitis ad patients and other dermatological conditions as a new noninvasive system for future treatment and monitoring of disease gearing up towards preventive care this idea and new technology are groundbreaking and radicalskindev aims to make ssmds generally applicable through innovative technologies like sensing applications in wearables and cameras providing athome ondemand skin health information ssmds will be ideal for early detection and intervention of health hazardsin this pathfinder project the focus is on interaction at three steppingstones ss towards a prototype ssmd with proofofconcept for the coupling of sensing and actuation in cutibacterium acnes c acnes for adrelated inflammatory processesss1systems engineering to create a multiscale computational model of ad pathophysiologyss2genetic engineering to create sensing and actuation circuits in c acnesss3tissue engineering to create a high throughput skin organoid platform for ada priority of skindev is to translate technological innovations into proofofconcept novel devices skindev is expected to invent such new technologies to i genetically modify skin microbes ii create sensing modules and actuators and iii develop preclinical skin organoids and computational models for hostmicrobe interactions the work plan implements an efficient design build test and learn cycle to accelerate the achievement of sensing and actuating performance fulfilling relevant physiological rolessuccessful achievement of these ambitious goals requires highly integrated interdisciplinary collaborations by scientists working at the forefront of relevant disciplines
a joinedup approach to the identification assessment and management of emerging food safety hazards and assocated risks

in europe each year foodborne hazards including bacteria parasites bacterial toxins and allergens already cause more than 20 million cases of illness and thousands of deaths foodborne chemical risk often associated with occurrence of toxins are of growing concern food safety management systems established over the past decades in our european food businesses and european food safety governance need to be adapted to make the food system more robust towards multiple stressor coming dynamically up so as climatic impacts foodsafer aims to design develop and test the building blocks of an innovative proactive and holistic food safety warning and management system with a look on the dynamics of emerging risks at its heart foodsafer embodies integrated approaches to hazard characterisation and risk management in a comprehensive suite of future oriented case studies tools methods strategies models guidance and training materials an open and accessible digital hub designed to form a core of a sustaining information system will be set up as a onestopshop vehicle targeted at risk managers and assessors food safety authorities and the relevant actors and stakeholders operating in the european food system to reach the ambitious goal foodsafer has united a worldclass consortium of 18 organisations from across 14 european countries integrating science industry smes and policymakers foodsafer will contribute to prevent food safety incidences occuring from biological and chemical hazards in the european food system as well as relevant socioeconomic impacts by bringing this approach to a success foodsafer contributes to sustainable healthy and inclusive food systems delivering cobenefits for climate mitigation and adaptation environmental sustainability and circularity sustainable healthy nutrition safe food consumption food poverty reduction the empowerment of communities and flourishing food business operations
exciting iron catalysis a route towards sustainable crosscouplings enabled by light

the manufacture of many highvalue chemicals that sustain our daily lives depends on the ability of palladium catalysts to link together crosscoupling complex structural motifs yet in view of the rapid increase of the price of palladium and its progressive depletion it is crucial to invent alternative and more sustainable systems based on earthabundant metals to ensure the viability in the long term of these strategic processes that provide us with materials agrochemicals or medicines iron is considered the most benign of transition metals because it is endless inexpensive and biocompatible however despite its early discovery ironcatalyzed crosscouplings have been underutilized owing to their narrower scope and the need for strong organometallic reductants or harsh conditions which hampers their applicability in complex targets and denselyfunctionalized substrates this proposal introduces a fundamentally new approach to overcome the issues that restrain the development of ironcatalyzed crosscouplings exploiting the innate ability of iron complexes to harvest light and repurposing it to activate catalysis capitalizing on novel modes of reactivity accessed upon visiblelight irradiation this research programme offers a strategy to access key catalytically active iron species under mild conditions without the use of strong organometallic reductants enabling unprecedented transformations with extended scope excel recruits chargetransfer excited states of iron complexes providing access to feifeiii and fe0feii catalytic manifolds to achieve cc and cheteroatom bond formation as well as multicomponent reactions that are currently out of the reach of stateofart iron catalysis overall this proposal aims to introduce a new paradigm to upgrade and unleash the full potential of iron catalysis in organic synthesis and will pave the way for the discovery of exciting new synthetic transformations
gemini for zero emission

in europe electricity represents only of co2 emissions therefore the european decarbonisation objectives cannot be met without addressing the other sources of emissions as well mainly industry and transport presently these two sectors are almost entirely dependent on fossil fuels which in addition raises major challenges for european competitiveness and energy security especially now with the steep increase of oil and gas prices the gemini project has already shown that high temperature reactor systems can provide a competitive and safe solution for the co2 free cogeneration of the process heat and electricity needed by industry many industrial processes require not only heat eg in the form of steam but also large amounts of hydrogen or other energy products consequently this new proposal intends to show that the gemini system can beyond co2 free process heat provide a global solution for competitive and safe decarbonisation of industrial activities it shall confirm that this new form of polygeneration of various energy products has no negative effect on the safety of the combined plantto clear the way towards safety demonstration and subsequent deployment of this solution the proposed project willconsolidate the gemini system safety demonstration and have its licensing readiness assessed by regulators and tsos including when used in polygeneration modedevelop the capability of the gemini system to operate in a costeffective way in polygeneration mode plan for the development of a european consistent fuel cycle for this type of reactor with respect to fissile resources and to a safe and acceptable backendlaunch an ambitious communication plan towards political and industry stakeholders as well as towards the public aimed at removing obstacles to nuclear solutions for decarbonisation of industry
multiscale observation services for miningrelated deposits

our society is highly dependent on raw materials which are currently mainly sourced by mining mining activities generate residues such as rock wastes tailings and stockpiles these materials are associated with environmental and safety risks that need to be carefully managed throughout their life cycle with an emphasis on stability and the prevention of water and soil pollution earthobservation eobased techniques are seldom used for monitoring these deposits and multisensor field data is commonly not integrated despite recent technological advances mosmin will develop holistic fullsite services for the geotechnical and environmental monitoring as well as valorisation of miningrelated deposits based on a combination of eo and in situ geophysical data we will use copernicus eo data for largescale monitoring of ground deformation and surface composition innovative change detection algorithms will highlight displacements and identify environmental hazards satellite data will be integrated with realtime highresolution data obtained from unoccupied aerial vehicles and sensors installed at the site leveraging the power of machine learning for fusion and resolution enhancement of multiscale multisource data novel noninvasive geophysical techniques such as distributed fibreoptic sensing will provide subsurface information to identify resource potential and risks such as internal deformation and seepage in collaboration with international mining companies mosmin will use pilot sites in the eu south america and africa to develop and trial comprehensive monitoring services which are calculated to have a total available market of 12bn and expect to be commercialised shortly after project completion by three industry partners the mosmin integrative service and tools will improve the efficiency and reliability of monitoring maximise resource utilisation and help mitigate environmental risks and the impact of mining operations
optimising forest management decisions for a lowcarbon climate resilient future in europe

significant reductions in anthropogenic emissions and increases in co2 sinks are needed to meet the 15 centigrades threshold for global warming set out in the paris agreement and reach the climateneutrality goal of the european green deal by 2050 the co2 sink provided by forests including oldgrowth forests partially offsets the rise in anthropogenic co2 emissions providing a largescale buffer to climate change depending on their characteristics and local circumstances such as management practices or ecosystem services forests may range from net co2 sinks to sources the project optimising forest management decisions for a lowcarbon climate resilient future in europe optforeu will build a decision support system dss to provide forest managers and other relevant stakeholders with tailored options for optimising decarbonisation and other forest ecosystem services fes across europe based on exploitation of existing data sources use of novel essential forest mitigation indicators and relationships between climate drivers forest responses and ecosystem services optforeu has five specific objectives 1 provide an improved characterisation of the forestclimate nexus and fes 2 utilise enduser focused process modelling 3 empower forest endusers to make informed decisions to enhance forest resilience and decarbonisation 4 provide a novel dss service and 5 bridging different eu strategic priorities robust science and stakeholders in the forest and forestbased sectors based on a supplydemand approach the methodology combines an iterative process of data consolidation modelling and codevelopment of solutions alongside forest managers and other practice stakeholders in all european forest types the dss will be designed and tested at 8 case study areas to provide a readytouse service near to operational trl7 at european level while a user adoption and uptake plan will maximise the societal and business impact
market analysis of the hydrogen sector for anion exchange membrane electrolysis and fuel cells

the hydrogen market is growing exponentially with the increasing needs to displace fossil fuels from the energy transport and manufacturing sectors with the demanding targets set by the eu innovative technologies for hydrogen production and use need to be accelerated anion exchange membrane systems offers a more economic alternative compared to the more established proton exchange membranes by avoiding the use of perfluorinated substances as well as working in environments that allow the utilisation of low or platinum group metal pgmfree electrocatalysts in addition saline electrolytes can serve as models for more stringent wastewater or seawater that can be used directly in electrolysers however further innovation is required on stable components operating under these conditions the technical solutions to these problems are the main goals of the eic funded projects anemel and enabler but a dedicated work looking at the exploitation was not considered in the individual projects therefore this projects aims at developing a common strategy for innovation in the hydrogen market sector relevant research questions to answer are the understanding on the market size for anion exchange membrane water electrolysers and fuel cells the value chain the technoeconomic analysis of different resources for the manufacturing of the devices and the identification of the barriers to commercialisation overall the expected outcome is a roadmap that serves as an initial exploitation strategy for the innovations developed as part of the anemel and enabler projects
microwave quantum photonics for quantum technology and fundamental physics

with the proposed research programme we plan to pioneer a platform that provides experimental access to the statistics of the microwave photons thus opening up singlephoton experiments in solidstate quantum devicesmicrowave photons play a major role throughout all solidstate quantum technology architectures including superconducting qubits as well as charge and spin qubits in semiconductors where they are used for control coupling and readout however the particle nature of the photons and in particular their statistical properties remain unexplored the main roadblock here is the lack of suitable microwave photodetectors for performing continuous photon counting at high quantum conversion efficiencywe will create sensors probing the timing between two photons with time resolution better than the timeuncertainty heisenberg limit of the individual photons thereby we will create novel measurement tools applicable throughout the quantum technology field in particular the photon counting developed in this research programme will open up the avenue to implement quantum computing based on socalled boson sampling with superconducting circuits combining two key requirements for practical quantum computing the programmability of the superconducting circuits and the stronger quantum advantage of quantum processors based on boson samplingbeyond enabling these new measurement capabilities on the fundamental side we generate unique experimental insights the interplay between correlated bosonic and fermionic states eg on how the bosonic particle statistics of the photons map onto the fermionic ones of the electrons is likely to spur new experimental activities around manybody physics furthermore the detection timing resolution beyond the heisenberg limit will also shed light on the still unknown physics question on how measurements really work and act in the quantum physics domain
quantum synthetic models for entangled matter out of equilibrium

the exceptional features of manybody quantum systems out of equilibrium are intimately connected with the intrinsic limitations we face when simulating their dynamics on a classical computer as both are a consequence of the fact that quantum matter is entangled digital quantum simulators or quantum computers promise to overcome these limitations however in the current era of noisyintermediatescalequantum nisq devices largescale faulttolerant quantum computation is out of reach making fullfledged quantum simulation an ambitious longterm goal still nisq devices already provide new horizons and opportunities for fundamental research in manybody physics indeed in their native hardware they can be conceptualized as qubit systems evolving by discrete gates measurements and feedback giving rise to completely new collective behavior and universal phenomena this project has the ambitious goal of finding and theoretically characterizing new phases of matter which are exclusive to nisq platforms charting their largely unexplored phenomenology and possibilities taking on a fundamental perspective at the intersection of manybody physics and quantum information theory we will pursue this goal based on the study of synthetic models of quantum circuits and quantum cellular automata qca the target results of this project include i prediction of new dynamical phases arising thanks to the building blocks of nisq technology and identification of protocols to observe them in existing platforms ii deeper understanding of topical but hard problems in manybody physics out of equilibrium made possible by the simplifying minimal structure of quantumcircuit and qca models the proposed research is expected to stimulate new synergies between different communities reflecting the dual nature and interdisciplinary interest of nisq devices being both early prototypes for quantum computers and experimental platforms for manybody physics