Dragon09/odtu_chatbot huggingface dataset:
morphologically linked old irish resource

the aim of molormorphologically linked old irish resourceis to make old irish distributed lexical resources interact by using stateoftheart data models and lexicographic standards based on the linguistic linked open data llod principles on the basis of the 8thcentury old irish würzburg glosses molor will fully exploit a set of existing both textual and lexical resources by linking the text with a fullform lexicon containing both normalised and variant spellings as well as phonological representations the integration of resources will benefit many different stakeholders including lexicographers philologists and students who currently work with inadequate and fragmented resources for a language with a highly complex morphology and an inconsistent and opaque orthography thanks to the internationally recognised expertise of the host institution the applicant will be at the forefront of developments in llod and language processing for ancient languages as a result of the envisaged mutual knowledge transfer molor is not only expected to lead to a novel standard in resource creation and interlinking for old irish but it will also substantially contribute to and improve languageindependent lexicographic data formats and ontologies as such being applicable to any language and any domain finally the fellowship will significantly improve the applicants skillset and employability due to increased interdisciplinary expertise at the intersection of the humanities and technology and the fostering of new partnerships on resource creation and streamlining for ancient indoeuropean languages
green selfpowered neuromorphic processing engines with integrated visual and functional sensing

todays internetofthings iot incorporates a complex distributed network of wireless sensors and processors connected to the cloud these platforms and their dataprocessing needs are creating a stronger and stronger demand for energy that is not sustainable at the same time the increasing consumers demand for iot electronic devices and their limited lifespan are significantly contributing to the worlds fastestgrowing waste stream known as electronic waste to avoid an unsustainable energy cost in this data deluge disruptive innovations in electronics from material to systems are urgently required elegance proposes the development of a radically new printable and lightoperated processing technology specialized for iot edgecomputing applications the project implements an ecosustainable approach at component and processes level where abundant recyclable ecofriendly materials are employed targeting a zero environmental footprint strategy the processors building block includes a hybrid stack of an oxide optoelectronic memristor with an electrochromic layer on top exhibiting a unique lighttriggered processinginmemory enabling simultaneous iot energyefficient computing and visual sensing inmemory computing schemes such as crossbar memristor arrays will be implemented employing lowcost industrially compatible sustainable printing techniques this will enable the design of energy efficient neuromorphic and artificial intelligence computing systems optimized for a plethora of consumer applications in the wearable healthcare and edgecomputing sectors making elegance an ambitious and technologically concrete breakthrough for the iot with high potential for large societal benefits
multifunctional fibrereinforced plastic composites with mxene layers

fibrereinforced plastic composites frpc are widely used in advanced fields such as aviation shipbuilding wind energy etc frpc structures during exploitation lose loadbearing capacity because of local damage icing water absorption and other factors the specific objective of the miracles fundamental research is frpc with the tailored additional functionality of damage monitoring deicing selfsensing and moisture barrier protection these functions are implemented using thin mxenedopped coatings and or interlayers novel twodimensional mxene nanoparticles uniquely combine high electrical conductivity and mechanical properties realised under the high alignment of the particles in thin coatings and or interlayersthe workflow in the project combines theoretical modelling and experimental research with nanoengineered technologies for validation upscaling and demonstrating novel ecofriendly methods of mxene delamination and exfoliation will be explored together with the possibilities of reagent recycling an automated spray and print methods with precisely controlled nanoparticle quality will be explored layer sensitivity will be improved with the new technology using different nanoparticle and polymer configurations new surface temperature annealing antioxidants and protective polymer coatings will be explored to increase stability furtherthe objectives and contributions to the impact will be achieved through 117 secondments for 205 personmonths homework and other networking actions the interdisciplinary and intersectoral consortium of six academic and four industrial partners from six eu countries has complementary expertise in materials engineering mechanical engineering and chemical sciences by starting from trl3 the project plans to grow forward to trl6the greatest impact of this innovation will be achieved by making frpc structures safer cleaner and cheaper
self healing soft materials for sustainable products

the shinto project aims to disrupt the soft robotics market by creating a new market for selfhealing structural components introducing autonomous damage detection and healing in intelligent soft robots the current field is driven by a high adoption of soft grippers that ensure safe operation for collaborative robots in manufacturing and delicate manipulation in agrifood and warehousing however these expensive and mostly nonrecyclable soft robots have limited lifetimes due to their vulnerability to damage in symbiosis vubresearch groups fysc and brubotics have been building soft robots out of selfhealing materials that fully recover functional material properties and resulting performances after healing incurred damage this extends the robots service lifetime and raises their reliability and sustainability which in combination with their inherent recyclability contributes to economic benefits and the eu green deal in shinto technological breakthroughs will mature beyond lab demonstrators over pilot scale towards commercial viability through synergistic advances in patented selfhealing polymers manufacturing application validation and business development the team combines profound knowledge of materials and robotics scientists with business experts to establish a new deep tech company marketing next generation selfhealing grippers as semifinished goods the beachhead strategy targets existing soft robotics markets based on confirmed productmarket fits existing feedback loops with key industrial partners field tests and life cycle assessment allow to cocreate the required quality and trl for business transition while limiting business risk to a niche market parallel continuous market analysis enables updatingexpanding requirements and extending to broader nonrobotic markets the soft robotics market is expected to grow at 40y to 63b by 2027 while market fits beyond this niche are identified eg the tire market at 174b in 2028
extracellular vesicles as mediators of premetastatic niche formation in melanoma

every 2 minutes someone in the world is diagnosed with melanoma so by the time you read this application dozens of new melanoma cases will be detected beyond its growing incidence cutaneous melanoma is the most aggressive type of skin cancer and notorious for its high metastatic propensity which constitutes the primary cause of death for these patients cellular heterogeneity and plasticity are key features of melanoma supporting disease progression the host laboratory has recently charted a functional map of the melanoma ecosystem and identified a cell population that fuels tumor growth preemt and another that functions as metastasisinitiating cells mics increasing evidence indicates that metastatic dissemination of mics relies on the formation of favourable microenvironments or premetastatic niches pmn at secondary sites and that extracellular vesicles evs shed by the primary tumour are key mediators of pmn formation i hypothesize that evs produced by phenotypically distinct melanoma cells are likely to contain different biological information and thus may exert different possibly diverging roles in pmns formation in metmap i will i determine the melanoma cell states contributing to the formation of pmns via evs ii dissect the molecular mechanisms underlying pmn formation and iii unravel how these mechanisms facilitate metastatic spreading i will leverage my background in evs biology and establish melanoma cell statereporters to track evmediated communication between melanoma subpopulations and pmns proximity labelling will be used to dissect the bioactive contents of evs transferred to pmns and perturbation experiments will be conducted to decipher this complex interplay through metmap i will deliver a functional understanding of how distinct melanoma states contribute to the development of pmn and ultimately identify new targets for disruptive therapies that hinder melanoma metastasis
investigating microbial colonization and removal on dynamic patterned surfaces

microbes have remarkable capabilities to attach to surfaces of natural and artificial systems eventually leading to the formation of biofilms and associated chronic and persistent infections it is extremely appealing to understand how bacteria interact with three dimensional surface topographies and how to design smart patterns as a strategy to create antifouling and biocidal materials here i propose a dynamic strategy merging verstile and largescale surface modification teqhniques based on mechanical wrinkling of soft bilayers that i developed at imperial college london microfluidics and microbiology the goal of mobile is investigating the mechanical confinement exerted by nonplanar surface curvatures and spatial heterogeneities induced by fluid shear on bacterial initial attachment and removal in confined environments specifically aim 1 i will evaluate the combined action of surface topography and fluid shear over bacterial proliferation motitly and viability incorporating nano to microscaled wrinkled geometries in microfluidic channels mimicking biological tissues surfaces and implantable medical devices testing a series of different clinically relevant bacterial strains such as enterococcus faecalis staphylococcus aureus pseudomonas aeruginosa escherichia coli and klebsiella pneumoniae i will also aim 2 develop antifouling and removal strategies by investigating the mechanical response of adhered bacteria using patterned surfaces as stimuliresponsive probes actuated by means of mechanical deformation ie by extension and compression of the wrinkled topographies to induce detachment and surface cleaning under fluid dynamic conditions overall i aim to elucidate new methodologies for bacterial removal at different stages of biofilm formation paving the way towards the development of new classes of biomedical devices and to contribute to an important step in direction of controlling implantassociated infections
2dimensional phasesensitive ultrafast spectroscopy unravelling photoinduced reactions by multidimensional raman

we propose the construction and development of a visibleultraviolet uv twodimensional resonance raman 2dr setup with phasesensitive detection to tackle ultrafast chemical physical and biological processes lightinduced reactions cover a broad range of phenomena from screening of photodamage in skin upon uv irradiation to carrier relaxation in optoelectronic devices and energy conversion in proteins their lowest hierarchical level lies in the interplay of nuclear motion and normal mode couplings such as funnelling the absorbed energy to the solvent via molecular oscillations in nucleobases electronphononphononphonon couplings in graphene vibrational cooling in hemeproteins nature has intricately coupled vibrational degrees of freedom to facilitate lightenergy conversion into synergistic nuclear motions ruling femtochemistry and femtophysics conventional spectroscopic methods project structural information along specific normal coordinates providing limited insights into these coupled motions 2dr combines the structural sensitivity inherent to the raman process with a multidimensional scheme yielding frequency correlation spectra that encode information on the vibronic mode couplings across the entire vibrational manifold critically the development of 2dr and its application to lightdriven processes has been hindered by technical and conceptual hurdles among them 1 2dr realizations have been confined to restricted visible regions while most biomolecules require spectral tunability andor uv excitations 2 vibrational signatures recorded by 2dr can be assigned both to vibrational anharmonic mode couplings as well as to harmonic highorder raman transitions the set up of the proposed novel 2dr approach will circumvent these limitations establishing an interdisciplinary research team toiling over unsolved problems in which the ultrafast and multidimensional facets play a key role
revolutionary refurbishment for an efficient and ecofriendly hydropower

the revhydro project aims to enhance the efficiency flexibility and sustainability of existing hydropower plants through the design and validation of flow control devices specifically the proposed flow control devices located in the runner and draft tube extend the operating range of turbines reduce fatigue and enhance overall efficacy notably their installation will require minimal downtime resulting in significantly improved refurbishment processesadditionally the project incorporates an innovative fish barrier and a circular design approach the innovative fish barrier included in the project adapt to the incoming fish allowing to redirect fishes to safe passages contributing to environmental conservation efforts furthermore the circular design approach adopted in the project allow at minimizing costs and environmental impact this holistic approach ensures compliance with water quality standards and supports biodiversity conservation
elucidating the role of biomolecular condensation in meiotic dna doublestrand break formation

meiosis universally relies on the formation of dna doublestrand breaks dsb to initiate a genomewide recombination program that promotes genetic diversity and is required to produce chromosomallybalanced haploid gametes dsb formation is catalyzed by spo11 which in acts in conjunction with nine essential partners in yeast including the rmm proteins we previously found that rmm undergoes dnadependent condensation and proposed that this organizes intracellular subcompartments within which controlled dsb formation takes place the rmm proteins connect dsb formation to chromosome structure and are subject to overlapping regulatory pathways that control the timing position and number of dsbs however the molecular assemblies that catalyze dsb formation and the mechanisms whereby they are regulated remain poorly understood here i propose an approach that takes advantage of our established biochemical and molecular genetics techniques combined with the development of novel methodologies to unravel the central role of rmm condensation in dsb formation specifically we will address the following outstanding questions 1 what are the mechanisms of posttranslational control of rmm condensation 2 how does transcription impact condensation and dsb formation 3 how does the chromosome axis affect rmm condensation 4 what are the quantitative molecular interactions that underlie condensation 5 which proteins associate with rmm condensates 6 what is the impact of rmm condensation on chromatin structure this proposal harnesses our current knowledge of the molecular properties of dsb proteins to explore new models and hypotheses regarding the relationships between the dsb machinery and the cell my goal is to gain insights into the molecular processes that underlie genetic inheritance in addition this work will contribute to our understanding of the role of biomolecular condensation as an organizing principle of cellular structure and function
sensorimotor integration motor planning and learning in fly

we are constantly learning new motor skills throughout our life whether riding a bicycle or playing an instrument motor learning relies on a calibration between sensory signals and internal motor information saccadic adaptation the recalibration of fast eye rotations induced by visual error signals has helped develop key insights into the identity of circuits and the theoretical models underlying motor learning however how visual signals interact with internal movement representations during motor learning remains at present underdetermined taking advantage of the compact brain of the fly with well characterized visual pathways and a plethora of anatomical physiological and genetic tools here we propose to study motor learning in the context of goaldirected body saccades in d melanogaster we will monitor changes in body saccades consistent with repetitive visual perturbations by quantitative analysis of headfixed flight behavior in an adapted version of the classical eye saccadic adaptation paradigm in simultaneous we will first record and then manipulate the activity of population of neurons known to contribute to body saccades including visual descending neurons vdns and their upstream synaptic partners which as a network integrate visual signals and selfmotion information with motor commands together these experiments will establish unprecedented causal relationships among neural activity learning and the formation of a flexible internal representation for locomotor control the functional principles identified in this project will establish a framework that can be tested in other species and behavioral contexts and ultimately improve our understanding of motor learning with important implications both in health and disease
biodiversity building blocks for policy

the world is changing rapidly climate change land use change pollution and natural resource exploitation are creating a global crisis for biodiversity whose magnitude and dynamics are hard to quantify decision makers at all levels need uptodate information from which to evaluate policy options for this reason rapid reliable repeatable monitoring of biodiversity data is needed at all scales from local to global only by leveraging large volumes of data advanced modelling techniques and powerful computing tools can we hope to synthesize these data within timescales that are relevant to policydata on biodiversity come from a diverse range of sources citizen scientists museums herbaria and researchers are all major contributors but increasingly new technologies are being deployed such as automatic sensors camera traps edna and satellite tracking integrating these data is a major challenge but is necessary if we are to create dependable information on biodiversity change b3 will use the concept of data cubes to simplify and standardize access to biodiversity data using the essential biodiversity variables framework these cubes will be used in conjunction with other environmental data and scenarios as the basis for models and indicators of past current and future biodiversity the overarching goal of the project is to provide easy access to tools in a cloud computing environment in realtime and ondemand with state of the art prediction models of biodiversity that will output models and indicators of biodiversity status and change the project envisages a future where primary biodiversity data are seamlessly integrated into monitoring and forecasting such that policy and management can proactively respond to problems while at the same time reduce the costs of monitoring and management and the negative impacts of biodiversity change
precision diagnostics for predicting therapy response to bispecific antibodies

immunotherapies have revolutionized cancer treatment by utilizing the patients immune system offering hope for treating a wide range of diseases however challenges such as therapy resistance poor response rates and high costs remain precision diagnostics that accurately identify patients likely to benefit from specific immunotherapies could optimize treatment efficacy reduce unnecessary treatments and significantly decrease healthcare expenses a major limitation of current predictive biomarkers is their focus on the abundance of individual immune components such as t cell numbers or specific surface markers without considering the crucial interactions among immune cells or between immune and cancer cells such cellular interactions are particularly relevant for the efficacy of the immunotherapeutic class of bispecific antibodies which target cancer by facilitating direct interactions between cancer and immune cells traditional methods for predicting response to immunotherapies fail to account for the complexity of these cellular interactions our ercstarting grant project introduces an innovative framework for simultaneously mapping singlecell immune landscapes and cellular interactions at a low cost and ultrahigh scale applying this approach to pretreatment samples from children with acute lymphoblastic leukemia undergoing bispecific antibody therapy has allowed us to identify specific cellular interactions associated with therapy response or failure here we suggest to refine validate and prepare the clinical implementation of our approach with the goal to develop a novel precision diagnostic tool that accurately predicts response to bispecific antibodies
realtime monitoring of deep crustal mass redistribution for timely prediction of earthquake using integrated geodetic gravity and seismic data

the proposed remcrumr research is a concerted effort designed to get as close as possible to being able to predict the time to an accuracy of 1 week and location to a accuracy of 100 x 100 km of occurrence of imminent devastating earthquakes m5 based on lithosphere strain and upper mantle dynamics it makes use of a multidisciplinary approach involving applied gravimetry satellite geodesy digital signal processing and seismology applied gravimetry is used as an alternative approach to the highly erratic electromagnetic phenomena and forms the core of the integrated approaches geodetic data have been integrated to give information about plates motion strain conditions and rupturerisk modelling seismic monitoring method is to be used for comparing and calibrating gravity responses against established seismological magnitude where seismic activities appear to accompany mass anomalyresults from plates velocity model computed strain parameters and calibrated isolated gravity anomalies are integrated to predict the impact in the form of pressure necessary to cause rupture in the overlying lithospheric plate and the time required for the rupture to take place at the onset of the impact this is used to develop a final model that notes the lithospheres yield point compares it with instantaneous lithospheric pressure and uses these information to determine when the yield point may likely be exceeded on instantaneous basis and subsequently predict the time when a lithospheric rupture will occur and its expected magnitude the research is in line with sustainable cities and settlement goal sustainable development goal 11remcrumr intuitively considers the concept of isolating the alterations to the ambient gravity field caused by subsurface massredistribution that is usually precursor to the emergence of earthquakes in nearreal time with a view to establishing the character of the potential corresponding seismic activity before it emerges