Dragon09/odtu_chatbot huggingface dataset:
swimming giants illuminating the supermassivebinary and gas interaction

nearly all galaxies in the universe harbor a supermassive black hole smbhwith mass a million to a billion times that of our sunin their core when these galaxies merge their supermassive black holes are brought together to form a supermassive black hole binary that interacts with the newly forming galaxys stars and gas a cosmic population of these supermassive binaries is hypothesized as the source for the gravitational wave background gwb detected for the first time this june the full evolution and ultimate fate of these binaries however remains one of the most enduring mysteries in astrophysics a key element to revealing the destinies of these binaries and unlocking their multimessenger observational prospects is to understand their latestage interactions with ambient gas in the nascent galactic nucleus in the proposed research program i will deploy stateoftheart hydrodynamics simulations of the mutual interaction between compact supermassive binaries and their gaseous environments to develop cuttingedge models of gasdriven binary evolution and its associated observational signatures these models will be essential to current and forthcoming electromagnetic and gravitational wave observations as the gwb detection and upcoming lisa mission open the floodgates on the nextgeneration of multimessenger astrophysics and cosmology with supermassive binaries just as the first ligo detection did for their stellarmass counterparts 8 years agothe niels bohr institute in copenhagen is the ideal location for me to pursue this research program because of their longstanding history and expertise in numerical hydrodynamics astrophysical gas dynamics and gravitational wave phenomena and the marie curie fellowship would enable substantial development of my skills as a researcher educator and communicator in order to achieve my goal of eventually leading an independent research group as a professor
carbon nanotube exohedral and endohedral functionalization for integration in nearinfrared organic light emitting devices

singlewalled carbon nanotubes swcnts possess uniquely diverse optoelectronic properties that depend critically on their exact diameter and chiral structure their quasi onedimensional structure high carrier mobility photochemical and mechanical stability combined with extremely narrow and tunable emission in the nearinfrared nir make them interesting candidates as active material in nir organic lightemitting diodes oleds or lightemitting transistors lets the integration of swcnts in oleds and lets has so far been limited by their typically low intrinsic emission quantum efficiency enhancing the swcnts emission efficiency therefore requires an indepth understanding of the complex exciton photophysics in particular that of the multiple dark excitons in this project we will investigate the filling of the swcnts inner hollow core combined with functionalizing their outer wall with particular triplet sensitizers this provides two orthogonal degrees of freedom to enhance intersystem crossing to the triplet state and at the same time to make the triplet excitons bright aiming for highly efficient swcnts triplet phosphorescence as a nir emission source to investigate the particular effect of the functionalization on the triplet exciton photophysics we will make use of a unique technique that combines optical spectroscopy with the spinselective magnetic resonance technique namely opticallydetected magnetic resonance odmr finally as a proofofprinciple these functionalized swcnts will be integrated in lets and oleds in operando characterization through amongst others electricallydetected magnetic resonance edmr will be performed to determine the role of the spindependent electronhole recombination processes in the devices opening new avenues to highly emissive niroledslets essential for a wide range of biomedical and biosensing applications
understanding malignant transformation of precancerous lesions in human colon

a crucial milestone in tumor progression is the transformation from a benign adenoma to a malignant cancer which has profound impact on clinical outcome and therapy design despite its importance it is poorly understood why it manifests itself as a bottleneck that can restrain precancerous adenomas for years while recent sequencing efforts inform static insights into the status of cancer genomes these are incomplete to infer how they evolved assess functional consequence of mutations nor how much malignancy is environmentally instructedpractical limitations hamper scientific advancement into the dynamic nature of tumor evolution foremost studying human tumor evolution is challenging as sequential sampling is not feasible and premalignant events that may hold the clue for understanding transformation often occur years before cancer diagnosis moreover experimental models that reflect malignant transformation let alone of human origin are lackingtransformation aims to resolve how human cancer genomes evolve towards malignancy and its role in triggering malignancyto gain new insights on this matter transformation takes a unique approach to produce experimental insights into evolutionary parameters that are inherently dynamic in nature and cannot be obtained from tumor sequencing alone using paired biopsies from earlystage colon cancers i generated unique organoid models from pre and posttransformation regions together with in situ analysis of matched tumors transformation will reveal the elusive rate and order by which mutations and copynumber alterations are acquired the patterns by which cancer karyotypes evolve dissecting functional from nonfunctional genetic heterogeneity on tumor phenotypes and investigate possible selection pressures imposed by environmental conditions transformation will solve how colon tumors evolve premalignancy which properties promote malignancy and why transformation is an evolutionary bottleneck
extending light wave scanning tunnelling microscopy to ultrafast transport phenomena

unravelling the fundamental phenomena of electron motion on its intrinsic time and length scales is a vital prerequisite for technological applications as dynamics of quantum systems are largely determined by ultrafast processes occurring on subpicosecond time and atomic length scales elistra will gain unprecedented access to the ultrafast physics of ballistic electron transport through freestanding graphene nanoribbons gnrs with atomic scale control by combining for the first time scanning tunnelling microscope stm transport experiments with subcycle thz laser pulses funnelled into the stm junction light wave stm to achieve this single atomically precise gnrs are positioned with subnanometre control in a transport configuration bridging tip and substrate of an stm thz radiation funnelled into the tunnelling junction acts as an ultrafast bias modulation driving electronic currents by opening selective transport channels on the intrinsic time scales of electron motion and tunnelling processes using pumpprobe schemes the project will explore the subpicosecond time evolution of coupling of electrons traversing the ribbon with fundamental excitations like phonon modes these experiments reveal questions about the possibility to control and modify electronic degrees of freedom beyond electron motion by thz radiationelistra will synergistically combine light wave stm pioneered by the host institution and stm transport experiments in which the applicant presents outstanding skills the project enables the applicant gathering proficiency in the rapidly emerging field combining ultrafast with atomicscale physics building upon his existing expertise the training will sharpen the applicants scientific profile and improve his employment perspectives by emerging him in a host institution that continuously drives the interdisciplinary frontier of nanoscopic measurements
new users for a better icos

the integrated carbon observation system icos is a fully operational european landmark research infrastructure providing standardised highprecision observations on greenhouse gases and their fluxes the icos infrastructure is currently covering 16 countries with 170 stationsin this project we will work with new users for icos data from satellite and modeling communities and prepare products for policymakers we are improving sustainability of icos by streamlining the data pipelines and strengthening the community engagement including new members in addition to data icos is producing protocols and processes which are now needed for the global greenhouse gases ghg initiative coordinated by world meteorological organization wmo thus strengthening the european leadership in it nubicos will focus on four specific objectives1 the cooperation between icos and the remote sensing community will be deepened2 the value chain from observations to climate services will be improved3 the internal engagement of icos and the identity of the icos community will be strengthened4 the global cooperation of icos particularly in the wmo framework will be intensified
reducing food waste due to marketing standards through alternative market access

it appears that a substantial amount of food waste may be due to marketing standards yet there is very limited concrete evidence on how much why and how to address it there is a need to deepen our understanding and identify solutions to prevent and reduce food waste along with any tradeoffs by improving the business potential of suboptimal foods rosetta sets out to deliver reliable evidence produced through transdisciplinary research with the engagement of use case multiactors that a estimates food waste generated by the use of marketing standards along the whole value chain b codefines and validates sustainable solutions for the valorisation of that waste and c assesses tradeoffs the current framework of marketing standards of food commodities at international eu national and private level will be analysed and the reasons for their establishment will be assessed an operational plan will be developed to deploy pilot experiments in five 5 use cases across eu countries led by private marketing standards owners or networksclusters in the value chain representing four 4 main food commodities namely fruit vegetables cereals dairy and meat a comparative analysis of data collected from both lab and field research combined with lcsa study will validate and optimise usecase selected solutions which are expected to reduce food waste due to marketing standards by 60 80 through alternative market access for suboptimal foods including processing and other strategies as well as changes in social practices the validated and optimised solutions will provide insights for knowledge transfer and identify opportunities for social learning insights will be used to develop replication guidelines and policy recommendations addressed to food businesses marketing standards owners policy makers and regulators to help revise or design marketing standards and support future policy development in order to prevent and reduce food waste
remote wholebrain functional microscopy of the vascular system a paradigm shift for the monitoring and treatment of small vessel diseases

obtaining functional information on living organs noninvasively across different size scales is a tremendous challenge in medical imaging research as diseases start locally at the cellular level deep into organs before expressing largescale and observable symptoms the unique complexity of the human brain adds another level of difficulty for neuroimaging the cerebrovascular system consists of a multiscale network of blood vessels interaction between neurons and this vascular system the socalled neurovascular coupling is a major foundation of brain function leading to constant adaptation of the local cerebral blood flow to local metabolic demand its alteration is intimately linked to cerebral dysfunction current brain imaging modalities are essential for evaluating cerebrovascular diseases in patients but are restricted to millimetric resolution and fail to capture most of blood flow dynamics here we propose to revolutionize the field of neuroimaging by introducing a groundbreaking technology called functional ultrasound localization microscopy fulm capable of monitoring transcranially the whole human brain vasculature and function down to microscopic resolution beyond opening a complete paradigm shift in brain angiography at least two orders of magnitude increase in spatial resolution fulm will also be able to map the functional brain response during taskevoked and spontaneous activity at microscopic levels we will address major technical challenges of ultrasound imaging develop advanced neurocomputational analysis methods validate our methods in preclinical models of cerebrovascular diseases and perform a firstinhuman study fundamental understanding of brain hemodynamics and neurovascular coupling as well as early clinical diagnosis of neurovascular abnormalities and evaluation of drug efficacy would tremendously benefit from such capabilities revealing both the brain vasculature and neurofunctional activity down to microscopic resolutions
the european biodiversity partnership

being one of the main actions of the eu biodiversity strategy 2030 the european biodiversity partnership biodiversa will coordinate research programmes between eu and its member states and associated countries mobilising environmental authorities as key partners for implementing biodiversity research and innovation along with ministries of research funding organisations and environmental protection agencies 75 organisations from 37 countries biodiversa has five overarching objectives 1 improve monitoring of biodiversity and ecosystem services across europe status and trends 2 generate actionable knowledge to tackle the direct and indirect drivers of biodiversity loss 3 expand and improve the evidence base and accelerate the development and wide deployment of nbs to meet societal challenges across europe 4 make the business case for the conservation and restoration of biodiversity and 5 ensure efficient sciencebased support for biodiversity policy making in europe biodiversa will meet these objectives by i setting up a paneuropean network of harmonized monitoring schemes building on existing nationalregional monitoring schemes creating capacity for setting up new schemes and feeding into the ec knowledge center for biodiversity ii coordinating research programmes between the eu and its member states and associated countries thereby ensuring the longterm paneuropean research agenda is cocreated and implemented iii contributing sciencebased methodologies to account for and possibly value ecosystem services and the natural capital and to assess the dependency and impact of businesses on biodiversity and iv better linking of ri programmes to the policy arena providing greater input to policy making and improving the assessment of policy efficiency doing so biodiversa will help ensure that by 2030 nature in europe is back on a path of recovery and by 2050 people are living in harmony with nature
understanding the autophagylinked disorder bpan an integrated approach for studying developmental basis of neurodegenerative diseases

understanding the fundamental basis of brain disorders is a one of the greatest challenges of the 21st century largescale genetic studies have identified numerous genes with associated roles in both neurodevelopmental and neurodegenerative disorders suggesting that common mechanisms are involved in the different phases of the same disease autophagy is such mechanism which dysfunction during development or in adult can lead to neurodegenerative diseases including betapropeller proteinassociated neurodegeneration bpan bpan is a disease caused by lossoffunction mutations of the autophagyrelated gene wdr45 resulting in neurodevelopmental defects and neurodegenerative phenotypes although bpan is a rare disease it represents a genetically simple model to understand the contribution of developmental defects during neurodegenerative disease to answer these questions we will use drosophila that provides unequaled experimental power for generating models of human neurological diseases and establishing their molecular genetic basis here using crisprcas9made wdr45 null mutant flies generated by mollereau and col i examined human wdr45linked phenotypes in drosophila i found adultonset neurodegenerative phenotypes including agerelated locomotion decline as well as an abnormal hyperkinetic movements in the embryos of wdr45 mutants therefore targeting wdr45 in drosophila we aim not only to allow identifying the developmental and neural basis of autophagyassociated neurodegeneration but also to uncovering the disease molecular responses that are prior to the appearance of neurodegenerative syndromes ultimately findings of our proposal can help find early disease biomarkers and design therapies for broad range of neurological disorders
electrochemical dnabased sensors for immunotherapy monitoring

during the initial part of the ercconsolidator grant protoolkits we have successfully demonstrated a novel approach for antibodies detection the platform uses antigenconjugated synthetic dna strand to achieve the rapid and inexpensive detection of target antibodies our platform offers several advantages lowcost singlestep rapid in comparison of other methods for antibody detection and is so versatile that can be used also for the detection of bispecific antibodies bsab on the basis of interactions with pharmaceutical companies and following a market analysis we have found that there is a growing need for similar approaches that can allow to monitor the efficacy of immunotherapies this is especially true for immunotherapies using bsab as there are no standard analytical methods for these targets given these considerations the goal of this project is to evaluate the commercial potential of our innovative platform for immunotherapy efficacy monitoring with particular focus on the detection and characterization of bsab during the project we will 1 fully characterize the dnabased antibody sensor for the detection of a model bsab anti egfranti her2 bsab in terms of analytical performances ie sensitivity specificity stability etc with direct comparison with other used techniques 2 prepare a manufacturing plan for producingtesting the abswitch 3 establish an ip strategy for patent filing and maintenance 4 determine a business and commercialization planning
advancing reaction platforms for drug discovery

this action will contribute to the sustainable development of european chemical industries in the coming decades by delivering an ambitious doctoral training programme that draws on expertise from industry and academia across 4 european countries the research agenda and experiential training will grow the skills base beyond approaches that have relied upon a limited set of molecular scaffolds and a relatively small subset of reactions to exploit new reaction paradigms and platforms eg high throughput experimentation photoredox electrochemistry that meet the needs of modern drug discovery science
multiparametric nanoelectronic biosensors for therapy response testing

proteases recently emerged as a promising new class of biomarkers with a broad diagnostic prognostic and therapeutic potential for different human diseases including neurological and psychiatric diseases several types of cancer and immune system disorders however there is a lack of tools for realtime activity analysis of diseaserelated protease biomarkers to address this issue we propose to develop a highly sensitive graphenebased biosensor platform for parallel detection of multiple proteases in serum we will exploit a new labelfree sensing mechanism based on charge removal due to cleavage of designer peptides by proteases as a specific business case we plan to address therapy response prediction along treatment of major depressive disorder mdd mdd is one of the most common and burdensome mental disorders worldwide mdd is also among the most expensive brain diseases in europe while effective treatments exist there is a high variability in treatment response there are no serumbased tests to predict personalized therapy for mdd patients the effective treatment is identified through trial and error a great burden for patients and the health care system a rapid sensitive and easytouse test would allow faster and more precise treatment identification improving therapy outcomes and reducing hospitalization times here we plan to detect two protease biomarkers associated with mdd the biosensors will be validated in clinical serum samples arrays of graphene biosensors will be integrated on silicon wafers with a multiplexed readout matrix to realize a miniaturized sensor system with multianalyte detection capability high dynamic range high precision low detection limit and low material consumption the resulting platform technology may enable various pointofcare diagnostic and therapy prediction tools this will help secure industrial leadership of the eu over the entire value chain of novel graphenebased bioanalytical tools
how does human agency shape machine learning understanding

human agency over machine learning ml models refers to individuals ability to monitor and act on the behavior of a trained ml model in practice ml experts have strong agency on ml systems from choosing training data to monitoring performance metrics beyond them few other stakeholders are granted the capacity to act on the system hamlu investigates how human agency over ml systems shapes our understanding of ml models do users better understand an ml model when they can actively explore the models predictions and shape training data rather than passively review data or explanations addressing this challenge is crucial as overlooking faulty behaviors from deployed ml models can harm european citizens in decisionmaking processes eg recruitment justice and highstake applications eg selfdriving vehicles anomaly detectionat the intersection of cognitive psychology hci and ml i will conduct behavioral experiments engaging human participants interacting with ml systems through varying levels of agency on the model and underlying training data the experiments will systematically measure participants understanding of the model under consideration i will critically scrutinize factors likely mediating the agencyunderstanding relationship namely users prior ml knowledge task complexity and data modality in addition i will explore how user agency and understanding translate into a sense of responsibility regarding model deployment a pivotal stance in the ai ethics discoursewith two years training at the cognition value behavior cvbe lab at ludwig maximilian university lmu of munich under prof deroys supervision who possesses extensive and complementary experience i will be able to consider crucial cognitive processes and test finegrained hypotheses in cognitive psychology boosting my prospects of becoming a humancomputer interaction hci research group leader in europe