Dragon09/odtu_chatbot huggingface dataset:
versatile water vapour isotope calibration device visor for laboratory and field use

climatic change will have large impacts on the global water cycle and thus on hazardous weather and the availability of water to society earth observation from the ground and space is necessary to detect how and where the water cycle changes the stable isotope composition of water vapour and precipitation is a sensitive indicator of ongoing and future water cycle changes continuous groundbased observation of water vapour isotopes has recently become possible by the more widespread use of infrared laser spectroscopy however there is currently a lack of solutions that would allow to fully and easily characterize these analyzers and the corresponding air inlet system with regard to several important measurement artefacts that degrade data quality within the erc cog project islas we have developed a prototype of the visor device that would fill this gap based on a technology that has so far rarely been used for this purpose possessing a substantial range of flexibility the visor device furthermore has the potential to reduce measurement time and thus the cost of routine liquid water isotope measurements in laboratory measurements exploring the innovation potential of the visor device may therefore enable a breakthrough in two application sectors 1 scaling up networks for water vapour isotope earth observation globally thus enabling better climate hazard preparedness and 2 become a first choice for laboratories that measure water isotopes for research forensic analysis or the control of food origin
revolutionising wind blade lifecycle through circular design and conditionbased monitoring using multifunctional selfsensing 3d printed bonded structures and a multimodal machine learning approach

the challenge of climate change poses a significant threat to humanity it is essential to prioritise renewable and costeffective energy sources while simultaneously reducing greenhouse gas emissions for the benefit of future generations one of the primary solutions lies in the new generation of larger segmented and more efficient wind bladesthe revolutionwind project aims to enhance the circularity and damage tolerance of the new generation of larger and segmented wind blades by embedding a multifunctional selfsensing 3d printed structure within a reversible adhesive layer the project will use a combination of supervised machine learning and experimental characterisation to devise a multimodal monitoring system that can accurately predict the remaining useful life of the reversible adhesively bonded joints the most cuttingedge outcome of revolutionwind is a multifunctional 3d printed selfsensing structure that will work as an embedded reinforcement and generate input data for a machine learning framework for insitu life assessment of the structural integrity of reversible adhesively bonded jointsfinally the successful implementation of revolutionwind will contribute to achieving the european green deals objective of establishing wind power as europes primary energy source while promoting a circular economy
macrophage targets for metastatic treatment

immunotherapies promise to be the major breakthrough in the treatment of metastatic cancer but effectiveness is limited to few cancer types metastatic neuroblastoma breast and prostate cancer affecting approximately 300000 eu27 inhabitants of all age groups in 2020 respond not or very poorly to current immunotherapies to establish more effective immunotherapies we need to better understand the specific tumour cellimmune host interactions at the metastatic site the mac4me doctoral network adopts an innovative multidisciplinary and crosssectional approach with a unique and dedicated research training programme to equip young researchers with scientific knowledge and transferable skills that are essential for todays great demand in both academic and nonacademic sectors mac4me aims to understand the tumour cellimmune host interactions at the metastatic site with an indepth molecular and mechanistic understanding of the immune and matrix changes induced by tumour cells we will use innovative animalfree organonchip systems that recapitulate early metastasis formation of brain bone and liver the retrieved knowledge from the preclinical models will be integrated in data from established clinical metastases and ai machine learning algorithms will be applied to identify new immune targets mac4me will align with patients and the general public from the very beginning thereby bringing societal expectations and patient needs into the centre of the project to pave the way for new standards for shared decision making and acceptable health care solutions mac4me will prepare a next generation of young scientists to start their own career as independent researchers being equipped with scientific knowledge and personal skills and integrating participatory science as a starting point to address the societal demand for more effective treatment solutions for incurable metastatic disease such as neuroblastoma breast and prostate cancer
strengthening entrepreneurial ecosystem development

the eu is planning to reduce its net greenhouse gas emissions by at least 55 by 2030 to meet these ambitious climate targets innovative technologies and solutions need to be deployed at unprecedented speed and scale with this in mind the seed project aims to nurture a new generation of missiondriven entrepreneurs who will come up with innovative solutions to the most pressing environmental challenges and who will have the skillset to scale them across europe and internationally this project is a collaboration between seven academic institutions and five business partners who are geographically spread across regions with varying innovation performance scoresthe project partners share the mutual understanding that if more enterprises are to be generated from university ecosystems across europe stateoftheart entrepreneurship education and support at these universities needs to be better aligned with the actual needs of budding entrepreneurs to this end project partners will develop and implement a new entrepreneurship course venture creation course aimed at students with technical backgrounds run local and international startup competitions and accelerate the most promising earlystage ventures moreover business partners will work closely with university partners to set up university enterprise hubs conduct feasibility studies into university venture capital funds and create transformation roadmaps for each local entrepreneurial ecosystem all these activities will lead to enhanced entrepreneurial activity of university students and strengthened capacity of universities to support and nurture entrepreneurial talent across europe
ri services to promote deep digitalization of industrial biotechnology towards smart biomanufacturing

industrial biotechnology ib is a key enabling technology for the circular bioeconomy industrial renewal and european manufacturing autonomy its development forms a vital part of eus strategy to become climate neutral in 2050 for ib to become a major manufacturing technology it must widen its use of advanced digital technologies these will improve rd efficiency reducing timetomarket and costs moreover for manufacturing advanced digital technologies will drive distributed autonomous and highly adaptable production systems to support digitalization of ib bioindustry 40 will create new services delivered by european research infrastructures ri these services will address several challenges focusing on the acceleration of bioprocess development pipelines drawing on the complementary skills of its consortium bioindustry 40 will develop datadriven approaches exploiting ai to empower novel decision support systems and digital twins the latter being to better design bioprocesses and enable their realtime online control to complete these services bioindustry 40 will also develop data and metadata standards to generate high quality interoperable multiscale bioprocess data the technical basis for trusted data networks and process analytical devices to provide realtime online monitoring of bioprocesses once deployed these ri services will provide users with access to cuttingedge technologies that can be used singly or in an integrated way covering whole rd pipelines integrated services will be delivered by a distributed ri conferring europe with a unique rd testbed for bioprocess development and a competitive advantage with respect to global competition to succeed bioindustry 40 brings together 6 eu ris 1 global company 2 innovative eu smes and several research teams around an ambitious 4year workplan that will be implemented in consultation with ib stakeholders using a codesign strategy to specify goals
polarised electroweak bosons at the lhc with improved theoretical accuracy

extracting the polarisation of electroweak ew bosons from largehadroncollider lhc data represents a crucial step towards a deep understanding of the electroweaksymmetrybreaking ewsb mechanism realised in nature therefore an accurate and realistic theoretical modelling is needed for polarisedboson production and decay in relevant lhc processes in order to improve the current theoretical accuracy for polarisedbosons processes and to enable direct comparisons with experimental data this research aims at the inclusion of higherorder corrections in the strong and ew couplings through a matching of fixedorder predictions to partonshower programs this will be carried out within the standard model sm of particle physics as well as in the presence of beyondthesm effects allowing for broad phenomenological investigations of the ewsb and fostering the development of polarisation taggers also using modern machinelearning techniques that will be beneficial for upcoming lhc analyses
intelligent and proactive optimisation for servicecentric wireless networks

wireless networks have become indispensable to citizens enterprises and vertical industries eg transport including autonomous vehicles and drones logistics utilities and manufacturing because wireless connectivity is essential to the digital transformation of industrial and business processes and customer experiences as a result wireless networks are facing increasingly diverse service requirements which indicate that existing reactive network management will be insufficient while intelligent and proactive control of servicecentric networks becomes essential future intelligent wireless networks rely on several multidisciplinary breakthroughs i artificial intelligence ai algorithms that can accurately predict spatialtemporal patterns of service demand and thereby drive proactive optimisation of wireless networks ii reconfigurable radio access networks ran and wireless environments and iii automated wireless service provisioning with reduced cost improved performance and greater reliability current research to automate the optimisation of servicecentric wireless networks using datadriven ai is facing many open challenges that need to be urgently addressed in this project we will take advantage of growing data availability and advanced data science technologies as well as ai algorithms and techniques to deliver the above identified multidisciplinary breakthroughs thereby enabling reliable automated wireless service provisioning
improving lifelong health and development for children and adults born very preterm observational studies to enhance randomised trials for comparative effectiveness research

improve preterm aims to optimise the discovery and use of costeffective affordable and accessible interventions at birth and in early childhood to mitigate the adverse consequences of very preterm birth vpt 32 weeks of gestation these include cerebral palsy motor and cognitive impairment visualauditory deficits respiratory illnesses and psychiatric disorders and affect lifelong health and wellbeing the vpt population is of high public health need as longterm outcomes are not improving despite increased survival due to logistic and ethical challenges in generating evidence on effective interventions leading to unstandardised and suboptimal caremultidisciplinary geographically diverse 13 country research teams working with key stakeholders families patients health professionals and policymakers will leverage advances in causal inference methods and optimise existing data sources trials cohort studies birth registers neonatal networks within an established european federated platform for comparative effectiveness research cer use cases will compare highpriority interventions 1 antenatal and postnatal corticosteroid treatment 2 followup and intervention programmes and 3 vaccine strategies capacitybuilding outputs will be 1 a generalisable lifecourse cer framework core outcome sets methodological guidelines for causal inference and economic evaluation 2 an opensource validated and standardised parentreport tool for assessing child development 3 data sources 30 and analytic methods on a sustainable privacypreserving fair platformimprove preterm will consider a broad range of patientvalued outcomes extending current assessment periods beyond infancy to provide holistic costeffective solutions for highquality cer outputs will improve the use of evidencebased care by clinicians and policymakers reduce the preventable health burden and promote better quality of life for vpt individuals and their families
mechanisms of cellular response to errors in mitosis a new nongenetic approach to an old question

one of the holy grails in cancer biology is to understand how genomic instability a hallmark source of mutagenesis arises however surprisingly little is known about nongenetic drivers of tumorigenesis my proposal will delve into the old question of how mitotic errors and nuclear abnormalities miterra affect cellular homeostasis from a fresh perspective the elucidation of nongenetic effects on genome function and cellular adaptationi recently discovered that micronuclei a prominent type of errors in mitosis are a previously unappreciated source of epigenetic instability this discovery together with the novel technologies that i developed will serve as the springboard to address four fundamental questions1 how is chromatin state affected in abnormally segregated chromosomes2 what are the mechanisms of transcriptional dysregulation following errors in mitosis3 how is genome organization perturbed in imbalanced genomes4 what is the physiological significance of abnormal chromosomes generated by mitotic errorsi will combine cutting edge techniques such as targeted chromosome manipulation and singlecell genomics with advanced systems to track missegregated chromosomes by livecell imaging over multiple generations i will identify additional sources of inherited abnormal nuclear structures termed mitbodies and characterize their dna damagerepair dynamics and epigenetic alterations i will study how transcription dynamics are perturbed in daughter cells upon abnormal mitosis and define higherorder genome organization nuclear positioning and lamina association of missegregated chromosomes finally i will investigate longterm cellular adaptations and assess the tumorigenic potential of these abnormal chromosomes altogether these studies will offer the first comprehensive assessment of the nongenetic mechanisms by which errors in mitosis may drive cellular adaptation and tumorigenesis
detection and identification of nanoplastics in water via plasmonicbased spectrometric methods using evaporationdriven colloidal assembly

in recent years we have discovered that our environment is extensively polluted with plastic particles in a wide range of sizes from the largest pieces that we can identify with our bare eyes to the so called microplastics 5 mm as a consequence of the improvement in detection techniques we now know that for example up to trillions of microplastic particles per litre have been found in plastic bottles for infants and in general plasticbased consumer water containers plastic debris above the microplastic cutoff can be sampled easily though tediously using standard extraction collection and purification methods however microplastics are typically heavily underestimated when using such basic techniques in this project i intend to develop a technique by which we can 1 concentrate diluted prefiltered solutions by a controlled droplet evaporation process and 2 perform chemical identification of its content beyond the current detection limits using surface enhanced raman spectroscopy the technique will be easy fairly cheap to implement and easily scalable for the identification of micro and nanoplastics in consumer products
supple graphene bioplatform for pointofcare early detection and monitoring of alzheimers disease

2dbiopad is a costeffective noninvasive point of careselftesting tool for the early and accurate prognosis assistive diagnosis of alzheimers disease with special focus on earlier stages such as subjective or mild cognitive impairment scimci
atomicscale photochemistry

photochemistry entails natural and artificial reactions that are activated optically and is at the heart of fundamental processes such as photosynthesis vision polymerization catalysis or energy conversion innovative approaches to gain control over photochemical reactions that relied on macro and mesoscale manipulations of light eg chemistry in an optical cavity plasmonenhanced reactions etc were reported recently but no strategy was proposed to address the photochemistry of a molecule with atomicscale precision aether aims to provide a disruptive photochemical method whose fundamental concept is based on the manipulation of light with ultimate spatial accuracy this approach relies on the confinement of a laser excitation pulsed or continuous into an extremely small volume at the apex of a scanning probe tip eventually acting as a plasmonic picocavity this confined electromagnetic field can then be moved on top of organic structures where it locally generates photo reactions aether aims at addressing questions in a wide range of fields related to physical chemistry can one generate photochemical reactions in a subunit of a molecule while preserving the rest of it can one use this sitespecific approach to synthesize new molecular speciesto what extent can we deepen our understanding of fundamental natural processes eg energy transfer photoisomerization at play for example in photosynthesis and visioncan we combine this atomicscale optical approach with timeresolved techniques to follow photochemical reactions in real time and real spaceanswering these questions requires probing manipulating and exciting molecules with atomic and subpicosecond precisions to this end a scanning probe microscope associated with laser excitation sources will be developed to provide simultaneous spatial spectral and temporal control over different types of photochemical reactions
a novel glutamine q sensory role for primary cilia implications for health and disease

primary cilia are single microtubulebased organelles protruding as antennae at the surface of most cells their dysfunction is associated with several genetic disorders called the ciliopathies we recently identified a new previously undescribed role for primary cilia as sensors of cellular nutrient availability in this novel mtorc1independent pathway cilia directly communicate with mitochondria to drive metabolic reprogramming under nutrient stress when glutamine q becomes an obligated carbon sourcehere we will tackle two fundamental questions i why mammalian cells taste the extracellular milieu via a sensory monocilium and how is the resulting information conveyed to mitochondria ii what are the consequences when the crosscommunication is impaired while our newly identified cilia pathway is relevant in multiple cell types here we focus on renal epithelia because the kidney is severely affected in the ciliopathies and because we contributed defining the crucial role of metabolic balancing in this organ the goals are 1 to identify the precise mechanisms underlying the ciliary response to nutrients 2 to test the hypothesis that primary cilia directly crosscommunicate with mitochondria via protein exchange 3 to define the relevance of this pathway for the pathogenesis and treatment of ciliopathieswe will use newly developed methods and combine highthroughput with hypothesisdriven approaches in a broad program designed to balance highriskhighgain with lowriskhighgain tasks the project has two inherent souls one devoted to the understanding of a novel very basic biological process the second to the translation of novel basic concepts to decipher disease pathophysiologyqtcilia q tasting cilia benefits from a unique acrossdisciplines background and expertise of the pi who positions herself strategically to make paradigmchanging discoveries for which exceptional resources via innovative funding schemes are sought
solving the lastmile delivery challenge for quality overthetop ott streaming content

we leverage online machine learning and nextgeneration congestion control to maximize quality of experience qoe for adaptive video streaming and video conferencing compatible with any httpbased application our technology will significantly disrupt the overthetop ott video markettoday the dominant congestion control protocols tcp and increasingly bbr are onesize fits all and consequently fail to deliver good qoe our solution is based on something new performanceoriented congestion control pcc developed by compira cofounder prof michael schapira and prof brighten godfrey from the university of illinois at urbanachampaign a key advisor unlike tcp pcc changes transmission rates in line with predicted effect on performance and specific application needs at a granularity of 10s of milliseconds rate selection is optimized by machine learning enabling us to swiftly overcome network congestion within the critical last mile of data delivery
probing and predicting the dynamical response of the greenlandicesheet to surface melt water

over just three decades the greenland ice sheet contribution to sealevel rise has grown sixfold increased basal slipperiness from increased surface melt was initially proposed as a key mechanism reinforcing ice loss but a wealth of studies deconstructed this idea leading the intergovernmental panel on climate change ipcc to conclude that increased surface melt has not led to sustained increases in glacier flux last year however my group reestablished meltwater as a primary mechanism driving ice dynamics albeit in a different manner than previously envisioned basal slipperiness is not set by melt rates but by icesheet morphology which drives low slipperiness in steep and fast glaciers that terminate into the ocean and high slipperiness in gentle and slow glaciers that terminate on land as a result a previously unforeseen meltwaterice dynamics feedback potentially drives a higher than anticipated mass loss as glaciers transition from marine to landterminating in the futurein this project i plan to reassess the control of surface meltwater on ice loss from the changed paradigm that glacier morphology rather than melt rates controls its impact aim1 will probe the mechanisms responsible for the morphology control on basal slipperiness by overcoming longlasting observational challenges through an innovative seismologically and geodeticallybased monitoring scheme exporting recently established proofs of concept for the first time to greenlandaim2 will predict the control of meltwater on icesheet evolution from incorporating the new observational insights from aim1 into a hierarchy of smallscale physical to largescale parametrized modelswith this strategy we will for the first time fully evaluate the dynamical response of the greenland ice sheet to surface meltwater and its impact on sealevel variations under deglaciation as inferred in the past and expected over the coming centuries