Dragon09/odtu_chatbot huggingface dataset:
automated model discovery for soft matter systems

soft materials play an integral part in many aspects of modern life including autonomy sustainability and human health and their accurate modeling is critical to understand their unique properties and functions however the criteria for model selection remain elusive and successful modeling is limited to a few welltrained specialists in the field my goal is to democratize constitutive modeling through automated model discovery and make it accessible to a more inclusive and diverse community to accelerate scientific innovation my overall objectives are i establish a new family of constitutive neural networks that simultaneously and fully autonomously discover the model parameters and experiment that best explain a wide variety of soft matter systems ii quantify the performance of our discovered models on tension compression and shear experiments for the heart arteries muscle lung liver skin brain hydrogels silicone artificial meat foams and rubber and iii quantify the uncertainty of our models parameters and experiments using a bayesian analysis my hypothesis is that automated model discovery will facilitate the exploration of a large parameter space of models and provide unprecedented insights into soft matter systems that are out of reach with conventional theoretical and numerical approaches today my immediate deliverable is a fully documented open source scientific discovery platform that includes our new neural networks experimental data benchmarks models and parameters this discovery platform has the potential to induce a groundbreaking change in constitutive modeling and will forever change how we simulate materials and structures this project will democratize constitutive modeling stimulate discovery in soft matter systems provide deeplearning based tools to characterize create and functionalize soft matter and train the next generation of scientists and engineers to adopt and promote these innovative technologies
hybrid electric regional wing integration novel green technologies herwingt

development of key technologies to address a new wing design for a her aircraft maturing up to trl5 manufacturing assembly structural concepts and processes concept studies configuration and architecture trade offs for a full wing component are part of the activity as a physical demonstration concept the detail design and manufacturing of the relevant components of a centre wing section of a her aircraft will be addressedconceptual wing studies configuration and architecture structural arrangement systems allocation and disposition flight control system trade offs for a full wing full wing structural arrangement mock up for innovative wing concepts structural and multidisciplinary optimization studies for definition of the optimal structural configuration of wingdemonstration platform wingbox high lift devices control surfaces load alleviation devices focusing on the centre section as a demonstration platform integrated centre section wing box structure with the inner propulsion stage full span pylon to pylon torsion box concept representative of more ambitious tip 2 tip concept multispar concept access manholes and panels sustainable aviation fuel and integrated fuel vent systems inner section leading edges integrated inductive ice protection system integration multifunctionality erosion impact lightning ice protection morphing concepts functional tests bird strike tests virtual or real inner section flap and high lift solutions integrated flap solutions multifunctionality application to flapkey processing technologies low costhigh integrated out of autoclave technologies dry fiber placement and liquid resin infusion for integrated multispar torsion box thermoplastic composites processing in situ consolidation for integrated flap skin and leading edge applications thermoplastic welding and coconsolidation for integration bonding technologies exploration towards certifiable solutions
from villain to antihero shewolf in old norse literature

this project investigates the similarities between superhero narrative in modern popular culture and medieval icelandic literature so as to 1 establish a viable theoretical framework based on current research on superheroes and 2 to apply it to a selection of medieval icelandic texts that feature strong politically powerful women who do not conform to conventional gender roles the primary corpus will be drawn from the legendary and the chivalric sagas between ca 1300 and 1600 which were composed under heavy influence of medieval french romances criteria will be established so as to define shewolf a concept drawn from both the old norseicelandic traditions of shapeshifting and fylgja and later chivalrid literature and from the symbolism of wolf in european folklore that gave rise to shakespeares epithet shewolf based on the criteria relevant characters will be classified into physicalvisual metaphoricalassociative and behaviourable shewolves for further casestudy based analysis on the methodological side this project constructs a spectrum based on charactertypes in superhero narratives villain antivillain and antihero into which different categories of shewolves will be analysed a selection of postmedieval texts with roots traceable to the medieval materials will also be considered to highlight the motifs continuity and contemporary relevanceoverall this project aims to bridge three academic fields medieval literary studies medievalisms and popular culture and shed lights not only on old norseicelandic literary motifs such as the maiden king and the supernatural elements but also on the conceptualisationand representation of female femininity and issues of gender and ethnicity in the society that produced and enjoyed this literature
innovative high temperature thermal storage for industrial applications

industrial processes in the eu released 351 mtons co2e in 2020 8 less than in 2019 in many cases continuous hightemperature heat is needed for these processes and no viable decarbonization solution exists today viable shortterm thermal energy storage upto 48hours would enable the replacement of fossil fuels by industrial wasteheat and renewable electricity heaternal unites 4 public research teams specialized in prototyping and modelling of thermal systems phasechange materials and 3dprinting 2 metals manufacturers 2 ceramic manufacturers 1 process engineering sme and equipment manufacturer 1 sme specialized in lca and technicoeconomic analysis and 1 sme experienced in dissemination and communication they aim to prototype and model a new thermal energy storage concept combining strong scientific and industrial knowhow i innovative phasechange materials and unit designs allowing to increase the unit energy density by 350 versus ceramic bricks and ii manufacturing experience ensuring that materials and units can be rapidly implemented in factories by 2030 thus the project will yield a 50kwh prototype trl5 and models of the upscaled storage system connected to factories the preliminary technicoeconomic study predicts a return on investment below 3 years and levelized cost of stored energy below 6mwh this is 60 lower than molten salt storage which doesnt work at sufficiently high temperatures for most metals and minerals industries steel glass cement ceramics etc heaternals solution meets industrial needs including low footprint lifetime over 10 years and fast return on investment the exploitation plan aims to implement the solution in the first factory in 2030 sales projections are estimated to reach 286m from sales of phasechange materials ceramic refractories engineering services by 2040 enabling 1475 mt co2eq to be avoided by 2040 thanks to heaternal thermal energy storage systems
next generation limitedangle timeofflight pet imager

over 27 million people in the eu were diagnosed with cancer in 2020 while 13 million people lost their lives to it cancer cases are predicted to increase by 24 by 2035 making it the leading cause of death in the eu the current leading specific molecular imaging diagnostic technique sensitive to cancer is based on positron emission tomography pet due to the high implementation cost of pet this highsensitivity diagnostics is only available to less than 05 of the medical centers in the world the critical component of the overall cost is the cost of pet scanners our project proposes a radical vision to translate european breakthrough technological advances in timeofflight pet detection to a revolutionary fully modular costaccessible flexible family of devices for applications from the standard pet center to the surgery epilepsy clinics intensive care units and even emergency rooms and in mobile units installed in vans the proposed petvision project aims to develop a simple pilot demonstrator a modular panel pet device with a coincidence timing resolution of about 75 ps fwhm close to the intrinsic timing limit of currently available pet scintillators this resolution is several times better than the current gold standard of 214 ps fwhm achieved with the current clinical stateoftheart device siemens biograph vision with such excellent timing the panel detectors can cover only a limited solid angle to reach the same sensitivity or improve the sensitivity in the case of a totalbody imager for the realization of the device a package of breakthrough innovations in detector design photosensor and frontend electronics are planned we expect that the proposed device will dramatically impact human health
a modular framework for designing and producing biohybrid machines

biohybrid machines bhms combine living cell actuators with artificial materials in order to achieve greater autonomy flexibility and energy efficiency compared to standard robots however bhms are developed in silos of individual research groups making their development more of an art relying on individual knowledge intuition and skills than on standardized decisionmaking processesto push the manufacturing of bhms towards biointelligent paradigm and modelbased engineering we propose to develop a selfmonitoring and selfcontrolling manufacturing pipeline of bhms to realize such a pipeline we would need to i develop a modeling and simulation framework that will streamline the processes of design quoting manufacturing verification and reporting thus significantly reducing errorprone manual steps also given that actuators in bhms are living cells which greatly expands the parameter space we believe that the development of bhms would greatly benefit from aiguided modeling process to optimize search for the most efficient design ii to experimentally test optimize and verify the platform by developing a proofofprinciple reconfigurable modular catheter bhm iii to group all necessary manufacturing equipment into an integrated biointelligent manufacturing cell bimc and demonstrate its adaptable operationas a proofofprinciple we will use bhm catheter as it is an innovative medical device that would be able to arrive into hardtoreach regions of the human body and release drugs there
a novel framework predicting steady flow and solute transport in partially saturated heterogeneous media

understanding and quantifying flow transport and reaction processes in partially saturated heterogeneous media and their consequences on the relevant darcyscale for different multiphase conditions and flow dynamics remains one of the leading open challenges in porous media research in this project we develop a novel framework to predict flow transport processes at the micro and darcy scales in partially saturated media from the basic pore structure parameters and general flow dynamics flow transport processes in heterogeneous multiphase media span a variety of disciplines physics chemical engineering environmental practices geology agriculture microbiology petroleum recovery to name a few this project novelty advances current knowledge on several lines first we will renew our current perception of the interplay between stable and unstable processes in multiphase systems on the most basic pore system features waterfilled pore size distribution second we will develop a lagrangian ctrw upscaling framework to partially saturated media these accomplishments and their integration will allow us to characterize diverse flow regimes in heterogeneous media within a unique template that is entirely predictive ie not parameterized by the transport parameters or the spatial porescale flow field this interdisciplinary endeavor incorporates particle dynamic models macroscale stochastic methods cfd models and metaanalysis of microfluidic devices experiments and numerical direct pore simulations to this end the project will draw from the complementary skills of the supervisor and the researcher in this context this action is fully compatible with the msca work programme goals highquality researchers training and supervision strengthening research capacity providing fairer and more attractive working conditions building new and sustainable international and intersectoral partnerships and networks
identification of subtypespecific biomarkers in small cell lung cancer

although small cell lung cancer sclc is a particularly aggressive disease targeted therapies have remained largely unsuccessful and there were no major therapeutic advances in the last three decades in the clinics sclc is still treated as a molecularly homogeneous malignancy however recent analyses led to the classification of neuroendocrine and molecular subtypes defined by differential expression of four key transcription regulators ascl1 neurod1 pou2f3 and yap1 our study proposal aims to identify unique subtypespecific diagnostic and therapeutic biomarkers for sclc patients with stateoftheart multiomic approaches and moreover to deepen our understanding of the biological and clinical significance of sclc molecular subtypes we intend to investigate the diagnostic and therapeutic significance of each subtype in a large panel of human sclc cell lines in correlation with their proteomic and metabolomic profiles in vivo metastatic capacity and sensitivity to potential targeted agents additionally the specific features of the molecular subtypes will be also assessed by performing genetic mutation analyses and using indepth machinelearning algorithms all potential circulating biomarkers delineated by proteomics and metabolomics will be first validated by a series of in vivo experiments in different murine models in addition in order to improve patient selection and followup in a noninvasive manner the specific petct radiomic features of enrolled patients will be also analysed within the framework of the current study altogether by identifying a wide range of novel biomarkers and potential therapeutic targets via multiomic approaches the current study will possibly result in a new subtypespecific biomarker panel which will contribute to the development of individualized diagnostic andor therapeutic strategies in this hardtotreat disease
sparse measurementbased reducedorder models of fluidstructureinteractions

fluidstructure interaction fsi is a ubiquitous phenomenon in industry such as ocean engineering biomedicine aerospace and a driven idea for hydrokinetic energy conversion strong nonlinear interactions between flow and structures as well as turbulent flow bring a huge challenge for understanding and dynamics prediction of the fsi systems facing with this challenge and the rising motivation of harnessing clean energy from natural fluids smartfluids aims to build a framework of developing reduced order models roms with low complexity but retaining dominant physics for fsi which will bring a deep understanding and efficient prediction of fsi a lowdimensional subspace of the fsi will be extracted using modal analysis through variational autoencoders vae based on deep learning dl of fsi data the fsi data will be obtained by performing highfidelity computational fluids dynamics cfd simulations of classic fsi problems the roms are developed by both physicsinformed mapping of governing equations onto the lowdimensional subspace and datadriven techniques to deal with nonlinear and unresolved parts of the fsi physical constrains are incorporated and sparse measurements of the fsi will be used in building the roms dynamics and future states of the fsi hydro or aerodynamic loads on the structures and structural responses can be predicted based on the roms smartfluids will provide an innovative and systematic view of fsi by focusing on a few dominant features and enrich the knowledge of fsi physics by adopting latest dl techniques the project will bring a novel solution to reduce time and cost of cfd and experiments in predicting fsi dynamics and structural responses for engineering design of pipelines cables wind turbines blades airplane wings and promote the renewable energy development
strengthening the european partnership community

eralearn is the reference point for european partnerships it provides evidence and support for their preparation implementation and evaluation it is a trusted support platform and service provider for the european partnership communities the european commission policy makers and other stakeholders at the nationalregional level it supports the strategic coordinating process scp for partnerships to exploit their potential as an instrument and a policy approach to effectively address major societal challenges the project activities of eralearn are geared to serve the specific needs of 1 the european commission including executive agencies 2 eu member states associated countries policy makers and the partnership knowledge hub pkh 3 the european partnership community governing and managing bodies and 4 researchers collectively the project aims to increase the effectiveness of the design and implementation of the european partnerships eralearn implements a responsive communication and outreach strategy with various tools and channels for communicating with the broadened partnership community and the dissemination of results including a strategic and frequent use of social mediathe eralearn consortium will exploit the experience of the previous phases of eralearn and build on achievements and lessons learned in particular the next phase of eralearn is designed in response to needs of the european partnership community eralearn will engage with the stakeholders and focus on providing support to the strategic coordinating process for the period 2023 to 2027
global reanalysis for a forest carbon sink in flux

three trillion trees lie behind a carbon sink that has taken up about 30 of humanitys carbon emissions over recent decades yet whether we can continue to rely on this huge natural subsidy is highly uncertain the sink emerges from systematic perturbations in the dynamics of growth death and establishment of individual trees taken together across the forest these lead to the net uptake or release of carbon both theory and recent observations point towards profound changes in these dynamics of the worlds forests being underway potentially causing the sink to saturate and decline but our ability to accurately assess and quantify such ongoing changes worldwide is severely limited the reasons for this are twofold a lack of standardised measurements of the sink and the dynamics that cause it across the world and the difficulty of modelling the dynamics of trillions of trees tree2globe solves both of these limitations using a novel modeldata assimilation approach to consistently integrate the dynamics of millions of observations of individual trees collected under disparate protocols worldwide and link together this information in space and time based on physicallyconsistent principles the resulting global forest reanalysis system will a provide a stepchange in capability to make accurate and timely assessment of the rates of tree growth death and establishment globally and b quantify how these combine with the legacies of past landuse and disturbance to explain the size location and trajectory of the global carbon sink in trees over the period 19902027 this will enable us to make a definitive assessment of whether hypothesised changes in forest dynamics and the resulting carbon sink are coming to pass this unique insight into how the worlds forests and their contribution to climate change mitigation are changing will provide key information to help guide the world to meet its net zero emissions policy commitments
cosmic inflation and structure formation through global analysis

during the last decades highprecision experiments have made increasingly detailed measurements ofdiffuse extragalactic background light ebl emitted by cosmological sources this has revolutionizedthe understanding of our cosmic origins the cosmic microwave background cmb is our most preciousresource for understanding the big bang while the cosmic infrared and optical backgrounds cib andcob provide unique constraints on the evolution of large scale structure from the first galaxies totoday until recently measurements of these effects were limited by either foregrounds or instrumentalnoise however the combined signaltonoise ratio has now grown so large that the interplay betweenastrophysical confusion and instrumental systematic uncertainties dominate the error budget to makefurther process it has become critical to account for all sources of uncertainties simultaneously in theorigins project i will solve this challenge through joint integrated endtoend analysis of multiple stateoftheart experiments to construct a single coherent model of all main diffuse astrophysical emissionprocesses from 1 um to 23 ghz in a novel approach origins will utilize archival observations fromact akari cobedirbe cobefiras iras planck and wmap many in the form of raw timeordered data with upcoming measurements from simons observatory and spherex this will result inthe worlds strongest and most robust constraints on primordial inflationary gravitational waves the mostaccurate map of cib fluctuations published to date and possibly the worlds first map of largescale cobfluctuations simultaneously it will redefine our understanding of thermal dust emission in the milkyway spanning a wide range of the electromagnetic spectrum and will improve the precision of currentmodels of zodiacal light by several orders of magnitude this open science project will define a newparadigm for nextgeneration cmb bmode and ebl experiments