Dragon09/odtu_chatbot huggingface dataset:
evidence and solutions for improving sponge functioning at landscape scale in european catchments for increased resilience of communities against hydrometeorological extreme events

spongescapes aims to consolidate expand and disseminate scientific knowledge to improve the sponge function of soil groundwater and surface water systems to accelerate the appropriation by all stakeholders spongescapes will contribute to enhancing climate resilience against hydrological extremes at landscape scale we will review and demonstrate the effectiveness of solutions in 140 existing cases further detail process understanding in x individual case studies and upscale this knowledge together with stakeholders by codesigning sponge strategies on landscape scale we bring individual solutions and strategies for upscaling closer to the market by providing realistic evaluations of their effectiveness under different hydrometeorological extreme events in current conditions and future scenarios we provide stakeholders with methods to map opportunities and selfassess the potential for increasing sponge functioning of groundwater soils and surface water systems within the local context taking climate geology topography soil characteristics and landuse into account the wide variety of sponge measures and strategies provided by the x case studies enables assessments of their primary functioning cobenefits and potential tradeoffs and suitable governance and policy environments for implementation using validation data from case studies spongescapes improves stateoftheart open source geohydrological modelling tools and enhances the quantification of sponge strategy impact assessments linking detailed process understanding to landscape scale evaluations in the case studies we will collaborate with a various public and private stakeholders directly impacted by or involved in changes relating ot improving sponge functioning at the landscape scale stakteholders include local decisionmakers and community groups who are directly impacted by changes related to sponge functioning on landscape scale
boosting the digital transformation of aviation supply chains for advanced composite aerostructures

compstlar proposes a novel holistic integratedandinteroperable physical and digitaldriven research ecosystem encompassing automated and scalable composite technologies multiphysicsbased and datadriven models aipowered tools and sensorized processes and products for the advanced design and costcompetitive manufacturing intelligent maintenance and repair and sustainable recycling of novel graphenefunctionalized multifunctional and multimaterial mm thermoplastic composite tpc aerostructures key developments to pave the way towards the compstlar ambition are 1 an innovative bespoke laserassisted atl process with insitu ultrasonic quality inspection boosted by offline xray computed tomography characterization and aipowered tools to propel zero defect and highvolume iscatl manufacturing 2 advanced ml surrogates of highfidelity multiphysics and multiscale composite damage simulation coupled with onthefly optical fibre and novel laserinduced graphenebased strain sensor data for realtime structural health assessment and monitoring 3 a modern inductionassisted conduction welding process enhanced with datadriven modelling grounded on parametric numerical simulations and realworld novel fresnelbased sensor data for smart repair of nextgeneration tp aerostructures and 4 pioneering recycling process to facilitate complete undamaged recovery of tpc tapes suitable for reuse with atl to confirm sustainable circular manufacturing digitalized methods processes and tools will be physically tested and digitally integrated into an interoperable iiot collaborative modular and decentralized digital research infrastructure ie compstlar endtoend digital pipeline compstlar digital ecosystem will support the optimized design sustainable manufacturing efficient maintenance repair and circularity of mm composite aerostructures allowing faster more accurate and more informed decisionmaking along the aircraft supply chain
do t cells link loss and gainoffunction mechanism in c9orf72 alsftd

neurodegenerative diseases are the top 3 leading causes of death and are viewed now as systemic diseases adaptive immunity including a tcell response in the central nervous system cns likely contributes to disease pathogenesis how t cells are primed and recruited to cns is largely unexplored due to the complexity of the process and lack of tools and animal models i will study these questions on the most common genetic form of amyotrophic lateral sclerosis als and frontotemporal dementia ftd here a ggggcc repeat expansion in the c9orf72 gene causes haploinsufficiency through reduced c9orf72 protein expression and gainoffunction toxicities through repeat rna and its translation to aggregating dipeptide repeats dprs a synergistic role of these pathomechanisms is suspected but not clearly identified i propose that t cells are the missing piece of the puzzle for the synergistic effects of c9orf72 haploinsufficiency and drp toxicity and will explore a whether peripheral antigenpresenting cells apcs and cns microglia present dprs to prime antigenspecific tcell response b whether c9orf72 haploinsufficiency alters antigen presentation of microglia and apcs c whether t cells mediate synergic effects of c9orf72 haploinsufficiency and drp toxicity this novel project for the first time addresses peripheral and cns activation of t cells against dprs in c9orf72 alsftd and reveals novel mechanism on synergistic effect of c9orf72 haploinsufficiency and dpr toxicity it offers a unique integration of neurobiological tools immunological methods and singlecelllevel approaches it brings solid evidence on the antigen presentation of endogenous aggregating protein to drive antigenspecific tcell response which will broad the understanding on alsftd and other neurodegenerative diseases it presents a promising research trajectory for the identification of new biomarkers breakthrough therapeutic targets and the development of novel interventions
respire planetary breathing in asphyxiating times

we live in a time of multispecies suffocation this is not a metaphor but a material process of contemporary multispecies living and dying on this planet respire will address the fact that we do not know what this planetary multispecies suffocation consists of and will investigate how we can comprehend and transform it it will do so through extensive fieldwork that includes collaboration with natural scientists organisations artists and stakeholders this approach is needed because the natural sciences study environmental problems but address them separately from social issues and do not offer an overall understanding of multispecies suffocation the humanities offer important analyses of the effects of environmental and social degradation but no perspective for analysing planetary multispecies suffocationrespires hypothesis is that to describe and understand multispecies suffocation we need approaches that address social and environmental issues as interrelated and need to strengthen the scientific role of the humanities and arts which specialise in challenging established norms and beliefs we will analyse multispecies suffocation through the planetary lungs and their related problems forests deforestation ocean deadzones low oxygen areas and soil peatlands our inductive inquiry from humanities and artbased research perspectives will deliver fundamental research that will contribute to future research on social and climate changerelated issues by producing a socioenvironmental interdisciplinary approach and revealing the respiratory and multispecies dimensions of current challenges respire will also develop new respirationfocused methodologies concepts and innovative pathways for a more breathable future the project will further develop the emerging field of critical respiratory studies in which the pi is one of the leading scholars and bring a humanities and arts perspective to the natural sciences
targeted protein degradation as a therapeutic strategy for the treatment of gastrointestinal stromal tumour gist

gastrointestinal stromal tumour gist is the most common subtype of sarcoma in humans and its initiation and progression is predominantly driven by constitutively activating mutations in the receptor tyrosine kinase rtk kit this dependency on kit led to the approval of kinase inhibitors for the treatment of gist inhibition of kit activity is effective at treating gist in the shortterm however the majority of patients eventually develop resistance this resistance is predominantly due to the emergence of additional kit mutations therefore the development of alternative kit targeting therapies beyond the current stateoftheart is paramount for the effective treatment of gist in the longterm one such strategy is targeted protein degradation tpd tpd is based on drugs called degraders which are compounds that induce the proximity between a protein of interest poi and components of the cellular proteolytic machinery resulting in the destruction of the former degradation of kit offers several benefits over inhibition that may combat resistance in gist firstly small molecule inhibitors rely on a strong affinity for the poi to be effective whereas degraders can maintain activity when the affinity for the target is compromised by mutations secondly inhibition of protein function is not a requirement for degrader activity and therefore additional ligandable sites on the poi in this project i will employ a multifaceted drug discovery approach with the overarching aim of designing identifying and optimising degraders of kit and investigate their effectiveness in gist models in order to explore the full potential of tpd in the treatment of gist i will pursue two different modalities of degraders i bivalent objective 1 and ii monovalent objective 2 with a clear clinical translational goal in mind the optimised degraders will be evaluated in various preclinical models of gist cellular and organoid objective 3
hydrogen storage in electric field responsive metal organic frameworks studied by machine learning potentials

hydrogen storage is a key technological barrier to the development and widespread use of hydrogen energy in transportation stationary and portable applications the safe and efficient storage of h2 is an important and still challenging issue in this regard metalorganic frameworks mofs possessing large surface areas a variety of topologicalchemical structures high porosities and high stabilities are considered promising nanoporous materials for gas storage applications theoretical studies have shown that electric fields can promote gas storage in mofs by inducing controlled structural changes which has recently been experimentally confirmedto unravel the underlying mechanisms at the atomic level i aim to investigate the h2 storage characteristics of electric field responsive mofs by combining machine learning ml and molecular modeling methods in order to model switchable mofs i will construct machine learning potentials and use them in molecular dynamics md simulations in order to overcome the restricted time and length scales of abinitio md and the accuracy and reliability concerns of md in order to determine the h2 uptakes of the mofs i will push the limits further and combine machine learning potentials with the grand canonical monte carlo gcmc simulations the main research objectives are to generate accurate machine learning potentials with a low computational time cost determine how selected mofs react to an applied electric field control pore openingclosing control and improve h2 uptake by switching electric field determine the impact of an electric field on the interaction between the host and h2 as well as on the presence of different adsorption sites this project has the potential to be a dooropener for fast and accurate design of switchable mofs and boosting their applications in h2 storage by providing a fundamental perspective
swarming supramolecular robots

biological robots perform complex biological functions such as cell division microtubuleasters for example use extendable legs emanating from a central point to position themselves at the center of the cell or to mechanically pull chromosomes apart their legs are formed by dissipative supramolecular polymerization of tubulin dimers into microtubules powered by guanosine triphosphate chemical fuel this suprabot erccog proposal aims to make fully synthetic analogous of the microtubuleasters suprabots are multilegged micronsized supramolecular robots that can change shape move directionally and show collective swarming behavior when in close proximity of each other a single suprabot leg consists of a supramolecular polymer bundle that is powered by chemical fuels andor by light under nonequilibrium conditions the needed reaction cycles to extend and contract a single leg and the leg dynamics that are obtained under nonequilibrium conditions are investigated in work package 1 the legs are attached to a central point by accurately controlling secondary nucleation in a microfluidic device this allows multiple legs to exert forces onto the walls of various microfluidic channels resulting in directed motility in work package 2 finally many suprabots are placed in close proximity where they push against each other resulting in collective ensemblebehavior this leads to dynamic suprabotlattices and collective swarm rotation if supplied with enough chemical energy or light in work package 3 suprabots compete for shared resources and can develop predatory behaviorsuprabot serves as an integrative platform to bring together so far disjoint concepts in supramolecular systems chemistry and swarm robotics to bring us closer to biologicallike functions in fully artificial chemical systems
holonomy symmetry and geometric flows

the geometric objects that can be perceived by our senses are curves and surfaces submanifolds provide a natural generalization for higher dimensions of these objects the focus of this project is on totally geodesic submanifolds and isoparametric hypersurfaces intriguing classes of submanifolds with connections to various mathematical areas often studied using differential geometric algebraic or topological methodsthe aim of this project is to investigate the interplay of totally geodesic submanifolds with riemannian holonomy and isoparametric hypersurfaces with certain geometric flows with the ultimate goal of obtaining results of both intrinsic and extrinsic nature specifically we intend to complete the classifications of totally geodesic submanifolds in symmetric spaces and of homogeneous hypersurfaces in exceptional symmetric spaces we will also use certain classes of isoparametric hypersurfaces in combination with maximum principles to try to prove an alexandrovtype theorem in the complex hyperbolic space and longtime existence for the hypersymplectic flowto develop this project the experienced researcher will join the geometric analysis team at ulb in brussels under the supervision of one of its main researchers joel fine the host group has extensive experience in the study of manifolds with special holonomy and geometric flows using techniques from pde theory the training strategy of this project involves assimilating these techniques moreover the er has experience in the classical theory of submanifolds in symmetric spaces as evidenced by his contributions to the field the combination of both backgrounds is essential for developing this proposalfinally this msca fellowship will enhance the convergence of distinct research fields and collaborative networks generate synergy with the research performed by the supervisor diversify the fellows mathematical knowledge and establish him as an independent researcher
spin imaging of twodimensional crystals and van der waals heterostructures via nitrogenvacancy magnetometry with light

twodimensional 2d magnets and superconductors have opened the door to explore new physical scenarios that were not available until just very recently moreover new emergent properties can appear when different 2d crystals are assembled forming van der waals heterostructures vdwhs for example some scientific openquestions in this field are i the sensing and control of 2d magnons ii the appearance of fractionalized excitacions in 2d quantum spin liquids qsl or iii the emergence of topological superconductivity in ferromagnetsuperconductor vdwhsin all the previous cases the spin is the key element being necessary to detect it with high spatial resolution and sensitivity this is a current challenge for most of the common experimental characterization techniques as heat capacity inelastic neutron scattering or muon spectroscopy just to cite some due to the few number of atoms in a 2d crystal as a promising experimental tool nitrogenvacancy nv centers in diamond have shown to be ideal magnetic probes at the nanoscalein this project we propose to explore strongly correlated phenomena in the 2d limit by imaging the spin in 2d magnets as in crsbr or 2d frustrated magnets in the qsl 1ttas2 as well as van der waals heterostructures as superconducting nbse2 in proximity to the metamagnet crsbr by using nv magnetometry it combines in a wintowin scenario my expertise for dealing with 2d crystals and vdwhs under inert atmosphere conditions together with the knowledge and currently available equipment at tu delft offered by prof van der sar and prof van der zant on nv magnetometry and correlated materialsthe successful completion of the proposed experiments will generate ground breaking results in highly correlated systems qsls 2d superconductors 2d magnets and vdwhs that will advance the field and bring new cutting edge field directions of potential interest for spintronics and quantum technologies
privacyfirst security enablers for 6g networks

privacy is considered a key pillar in eu research and development activities towards 6g in the 6g multiactor pluralistic environment privacy is pivotal not only for the end users but also for all involved stakeholders
is this a good medical test

this project uses integrated history and philosophy for medicine to inform medical practice today the evaluation of medical tests is today in a state of confusion traditionally the main index used to evaluate diagnostic tests is diagnostic accuracy typically this is done by evaluating the sensitivity the proportion of patients with a disease that test positive and the specificity the proportion of patients without a disease who test negative of a test sensitivity and specificity are commonly assumed to be constants or to vary only in a limited rage of circumstances in contrast to this others claim that sensitivity and specificity are highly variable so much so that the diagnostic accuracy paradigm should be abandoned instead of focusing on diagnostic accuracy some recommend that test evaluation should focus on patient outcomes whilst others strongly disagree this confusion is detrimental to medical practice as it leaves medicine in a state of not knowing how to tell if a medical test is a good one this project seeks to understand and address this confusion using historical and philosophical tools philosophical analysis reveals that the differing attitudes to test evaluation have at their root differing philosophical assumptions about how homogeneous or heterogeneous patients with the same disease are the project provides and intellectual and social history that traces the development of test evaluation over the twentieth century it follows how successive generations of researchers have balanced assumptions of homogeneity and heterogeneity and modified them for use in their particular setting the central claim of this project is that understanding medical history is key to balancing assumptions of homogeneity and heterogeneity skillfully
heritage buildings and objects digitisation visualisation within the cloud

heritalise mission is to research and develop advanced digitisation techniques and solutions for documenting and representing diverse ch assets giving a full comprehension of the diverse ch features visible and nonvisible in addition aipowered tools including machine learning ml will be developed for improved and optimised data postprocessing and integration based on standard and expanded methodologies all this will be connected through a knowledge graph environment that allows the individual aspects known about the ch object to be related and retrievable as with wikipedia by following links it will be possible to learn more about a particular object what research has been done and what results have been derived from itheritalise will provide the upcoming eccch with a interoperable webbased ecosystem advanced input data from improved digitalisation methodologies and preservation supporting tools which will be achieved by meeting the following general objectives go and setting the conditions for a widescale replicability and scalability across european ch institutionsorganisations across european ch institutionsorganisationsgo1 stateoftheart review of current digitisation standards and methodologies defining the data requirements for ch tangible and intangible objectsgo2 improve 3d2d data acquisition methods and technologiesgo3 data postprocessing methods and technologies will be adopted including new aipowered digitisation methods and the development of data fusion techniques to mix various multimodal digitisation approaches multisensory multiscale multispectral external and internalgo4 development of methodologies and solutions as hardware hw andor software sw services go5 development of eccchcompliant open interoperability components enabling connecting and sharing data and modular services in a distributed webbased architecturego6 increasing the impact of current and developing digitisation technologies
strengthening the europeafrica digital ecosystem through increased ri cooperation

the seade project provides fundamental and tangible support services to the research and innovation ri ecosystems of europe eu and subsaharan africa ssa undertaking humancentred research programme developmentdelivery and pilot actions in four ssa target regions to support increased cooperation these actions will focus on two key areas identified as challenges for this ecosystem digital transformation and international collaboration alongside the programme development integration of legacy elements from current or newly closed initiatives working in the eussa ri such as the ict58 projects funded under horizon 2020 will provide the ri in digital riid actors across both continents with a comprehensive resource toolkit made available within the legacy platform of the enrich in africa eia project with this approach seade aims to provide a seamless routetomarket pathway for the ri actors in transferring research knowledge into market success thus supporting the development of economic growth and facilitate job market boostingby founding the actions of seade in a humancentred approach the activities can be developed through user as well as marketdriven research ensuring the services developed are relevant and required by the target users and therefore more likely to be successful the delivery of these new services within 4 pilot regions ghana kenya senegal south africa will enable the seade consortium to set measurable criteria for the assessment of such actions within different cultural political and financial ecosystems this data will enable seade to produce key policy positioning papers and reports which can support the development of further riid targeted actions in other african regionsthe eu and ssa actors of seade will be engaged via the wealth of networks available within the consortium partnership enabling a strong dissemination and communication strategy for the project to be undertaken from the start