Dragon09/odtu_chatbot huggingface dataset:
neutral data host for uncrewed avitation

neduna provides holistic and dynamic data about airspace connectivity and ground risk for uncrewedunmanned aviation this is a must have requirement to enable automated bvlos beyondvisuallineofsight drone operations and hence for the drone business at scaledrones will revolutionize a wide range of industry verticals including all kinds of automated inspections first responder services agricultural services delivery logistics operations media entertainment all the way to drone taxis a market that is expected to exceed 100bn in annual revenue in 2028but in order to make that a reality at scale unrestricted and automated bvlos drone operations are needed which is not the case todayhowever to make automate bvlos drone operations at scale a reality it is a critical regulatory requirement to have evidence of safety critical data a where in the airspace there is sufficient connectivity to safely operate a drone which is a must have requirement for remotely controlled aircraft and b have a holistic understanding about the ground risk ie how many people are on the ground along a flight paththis is where neduna comes in it provides all the needed information in an aggregated manner through a single interface from a single location via a single contract this is the reason why key stakeholders in the value chain are expressing high interest and have already provided their letters of interest including easa civil aviation authorities such as austrocontrol ansps and approval authorities such as avinor atmutm system providers such as frequentis drone operators such as smartdigital and telecom providers such as tmobile neduna is to airspace connectivity data what itunes is to the digital music industryhence neduna is a game changer for providing the necessary data to fully automate bvlos drone operations and unleash a multi billion euro business
hightemperature oxygen batteries for industrial internet of things

the project oxybatt addresses a pressing need for portable energy storage in the intermediate temperature range currently no battery technology is capable to operate between 200 c and 400 c due to issues related to performance degradation and safety concerns of commercial systems this limitation has a substantial impact on the penetration of industrial internetofthings solutions in energyintensive industries where high temperature and risk of explosions are common and hinders the application of advanced predictive maintenance and safety tools oxybatt will cover such a critical gap by offering a new battery product built upon an innovative technology for a thinfilm rechargeable system that utilizes oxygen storage unlike conventional commercial batteries the system is inherently safe and thermally stable making it wellsuited for use in hazardous environments at high temperatures the core technology behind oxybatt has no reliance on scarce elements such as co and li which is currently a concern for european unions battery ecosystem through a usercentered approach the product will be customized and refined throughout the project in order to be seamlessly integrated and tested in a commercial industrial iot device this activity will demonstrate the potential for the oxybatt device to enter a huge market namely predictive maintenance in harsh industrial environments which is inaccessible by current solutions complementary codevelopment and business activities will maximize the potential of the new battery and will establish a clear roadmap for commercialization including startup creation
solidify the european fdsoi ecosystem accelerating its industrial deployment

the european fdsoi family of technology platforms is recognized for its low power consumption versatility high radiation hardness embedded nonvolatile memories and exceptional radio frequency capabilities the objective of the soil project is to extend fdsoi technology platforms and broaden their use within the european industry in order to provide europe with a real alternative to semiconductor supply autonomy using fdsoi semiconductorswe will thus expand a european technology manufactured by european players and suited to the european and worldwide marketthe soil project will give europe the opportunity to move forward with industrial and academic players spanning the value chain by joining in the risktaking necessary for the growth dynamics of semiconductors for automotive space iot and edge ai domain in europethe soil project will accelerate the implementation of semiconductor manufacturing based on fdsoi technology building and securing the european semiconductor value chain from material to system supporting the twin green and digital transitionsoil will expand the family of european fdsoi technology platforms by developing production and innovation capabilities in the following key areasi advanced features prepare next generation of fdsoi technologies and componentsii semiconductor intellectual property sip core reinforce the fdsoi design ecosystem and the supply chain around fdsoi manufacturingiii digital analog rf singlechip integration capabilities microcontroller unit rf communication rf sensor eg radarthe project will shape the future by developing new technology approaches as well as numerous ips on advanced applications and will promote the capability and benefits of the technology by providing advanced demonstrations on key applications and comparing the technologysoil will strengthen and expand the overall fdsoi ecosystem from material to system
allosteric modulation of immune checkpoint complexes as a new mode of therapeutic intervention in immunotherapy

the fastidious balance of our immune system to fight infections or cancer while avoiding autoimmune reactions is regulated by coinhibitory and costimulatory immune checkpoint complexes iccs which have become major drug targets we witness the skyrocketing progression in cancer immunotherapy with antibodies that block inhibitory iccs whereas abs that block stimulatory iccs are in clinical trials for treating autoimmune diseasessurprisingly but likely fuelled by the most obvious focus on ic inhibitors the field largely ignored that iccs are genuine transmembrane receptors that transmit signals upon binding of an extracellular protein ligand this leaves unexplored modes of therapeutic intervention that i will uncover by validating nanobodies nbs as firstinclass modulators of signaling pathways associated with immune receptors in a unique previously unexplored fashion by applying innovative immunization and bioselection techniques and building on poc data i will deliver nbs for representative iccs to demonstrate the efficacy and selectivity of these nbs in preclinical models of various inflammatory conditions focusing on cancer and autoimmune diseases we will deliver novel therapeutics agents which may outperform current inhibitorbased immunotherapies that trigger a magnitude of side effects in this regard the nbs will exert their therapeutic effect through a distinctive mode of action that will ensure patient safety even in the event of an overdose
nontraded assets in overthecounter markets

many financial assets trade in decentralized overthecounter otc markets that is there is no centralized marketplace and investors need to search for counterparties that are willing to trade contrary to centralized markets in otc markets a substantial share of available assets is nontraded existing otc market research focuses on frequently traded assets but is unable to talk about nontraded assets nta but why do many assets in otc markets not trade in the first place which frictions give rise to nta these questions are highly relevant for policy makers and financial stability as well because otc markets play a central role in the financial system this proposal presents three empirical projects that will advance our understanding of the role of intermediation frictions in otc markets through a novel perspectivethe lens of ntaexploiting unique data for one of the largest otc markets us corporate bonds the research agenda comprises the following components1 search frictions and nontraded assets this part examines the role of search frictions for nta exante it is not obvious whether a large share of nta is symptomatic of low or high search frictions the idea is to exploit different types of shocks that affect investors search frictions and to investigate their impact on nta2 financial intermediaries and nontraded assets this part studies whether financial intermediaries matter for nta do assets trade more likely when intermediaries are financially unconstrained to answer this question the idea is to exploit detailed data on trading links between investors and dealers3 corporate finance and nontraded assets this part examines whether firms derive financial flexibility from nta if assets do not trade then their investor base remains stable and investorissuer relationships emerge the idea is to study whether firms are more likely to implement debt management policies in nta
simulating coastal hydrodynamics and particle transport processes

beaches are eroding at many locations around the world and with the pending climate change sea level rise and increased storminess in northern europe coastal erosion is expected to potentially worsen stateoftheart practical engineering models for predicting sand and particle transport struggle with the crossshore processes perpendicular to the beach and they even have difficulties predicting the sign right offshore transport vs onshore transport in an experimental setting where the boundary conditions are fully known the shortage of stateoftheart models also means that the spreading of microplastic particles which are increasingly polluting the oceans cannot be predicted accurately as a result the future shape of the worlds coastal profiles and the fate of microplastic particles in the coastal region are largely unknown shore aims to bridge this knowledge and competence gap and develop the first model capable of accurately simulating both on and offshore transport of sediments and microplastic particles without casespecific calibrationthe new model will 1 break from central assumptions used in existing stateoftheart models 2 utilize integrated rather than local quantities and 3 include additional factors known to govern the physics in the complex region around the shoreline the development of the novel model will be made possible by gathering a novel experimental database containing measurements across a wide range of scenarios and utilizing more advanced numerical models these advanced models are too computationally heavy to be used to study morphology but due to recent breakthroughs by my colleagues and i they can be used to study the governing processes the model developed within shore will subsequently be used to answer questions of great interest to research and society such as the effect of climate change on coastal profiles and microplastic hotspots
using predictions for language acquisition new neuroscientific directions

although we often regard language acquisition as an automatic process there can be huge variation in the speed and success of different learners as a good command of language is essential for many life outcomes it is crucial to understand the mechanisms that lead to successful language acquisition some influential theories point to predictionbased learning as a crucial language acquisition mechanism prediction the ability to anticipate others upcoming words or actions is already known to play an important role in human communication for instance predicting when our conversation partner will stop speaking allows us to start our responses immediately thus leading to fluent conversations a predictionbased mechanism is at the heart of errorbased theories of language acquisition which suggest that children and adults constantly predict the next word when listening to others talk they then assess whether their predictions were correct and if not an errorsignal is created which is then used for learning while these theories have grown immensely influential in recent years we still know little about the predictionbased mechanism that underpins them we have limited evidence connecting linguistic predictions to language learning and almost no direct knowledge of how a predictionbased language acquisition mechanism might operate as a result and despite the popularity of errorbased theories of language acquisition predictions actual role in language acquisition remains unclear this project will significantly expand our current knowledge of how a predictionbased learning mechanism functions it will do so by combining a newlydeveloped behavioural paradigm with neuroscientific methods eeg and meg across three experimental studies this will not only shed further light on predictions role in language acquisition but will also establish a methodological approach that can form the basis of future research into these questions
reimagining monetary policy as a federal project

monetary policy suffers from a one size fits all problem central banks typically determine monetary policy by setting a headline interest rate uniformly across their jurisdiction yet in large jurisdictions the optimal monetary policy on average tends to be suboptimal for economically heterogeneous regions outside the realm of monetary policy a solution to this type of governance problem is widely accepted federalism but the state of the art has not analyzed federalism as a paradigm of monetary governance this is curious especially because it is not uncommon for central banks to be structured institutionally according to federalist principles split into a central headquarters and decentralized branches yet even then monetary policy is determined centrally and uniformly across central bank jurisdictions fedmoneys research hypothesis is that it is desirable to federalize monetary policy by taking advantage of federal central banking structures to modulate monetary policy differently across economically heterogeneous regions its central aim is to develop a systematic legal and economic analysis of monetary federalism which we currently lack fedmoney seeks to verify its research hypothesis by writing the untold legal history of monetary federalism in the united states and europe it will contextualize that history in light of constitutional theories of federalism in both jurisdictions as well as the intellectual history of economic thought the project is groundbreaking in that it opens up new horizons for research in law economics and beyond and creates a powerful new tool for central banks to shape economic growth and development fedmoney is urgent because central banks rediscovered monetary federalism in their responses to the past decade of economic crisis but lack a theoretical framework grounded in law and economics to assess its costs and benefits absent such a framework interest in monetary federalism is likely to fade soon
symmetry and optimization at the frontiers of computation

noncommutative group optimization is a powerful emerging paradigm which has already led to the solution of outstanding problems in computational complexity algebra and statistics pioneered by the pi and collaborators it generalizes convex optimization from euclidean space to the far more general setting of curved spaces with symmetries its unfamiliar kind of convexity has recently received much attention in statistics and machine learning the symmetries are realized by noncommutative groups and imply a high degree of algebraic structure this combination of symmetry and optimization promises to be key to fast algorithms and deep structural insight noncommutative group optimization connects important problems across a wide range of disciplines that appear unrelated at first glance program testing and derandomization in computer science estimation problems in statistics isomorphism problems in algebra the p vs np problem and circuit lower bounds in complexity theory optimal transport in machine learning marginal and entanglement problems in quantum information and optimization on quantum computers this list contains both discrete and continuous problems theoretical and applied ones for classical as well as for quantum computers they have been studied separately over many years by many authors here they are brought together in a new innovative waythis project aims to develop the theoretical and algorithmic foundations of noncommutative group optimization and apply it to longstanding theoretical problems and practical applications this has high potential for longlasting impact at several frontiers of computation in addition to contributing a new paradigm and widelyapplicable methods to optimization we aim to give efficient algorithmic solutions to difficult problems in algebra make progress on the limits of efficient computation and unlock the potential of quantum computers for optimization
polypeptide hybrid nanoparticles for the delivery of inhalable drugs

infectious respiratory diseases such as covid or tuberculosis tb still have devastating effects on population health while the development of potent vaccines has drastically reduced infection rates for some diseases medicinal drugs remain a corner stone of treatment respiratory drug delivery via inhalation is considered an ideal way to directly target the site of infection in the lung however suitable functional polymeric drug carriers meeting all clinical and pharmaceutical requirements are rare nanoinhale aims to develop novel polypeptide nanoparticles with mucus penetrating and cell targeting properties suitable for nebuliserbased drug administration to the lower respiratory tract with a project proofofconcept demonstration for tuberculosis tb up to in vitro level this clinically informed project is placed at the intersection of polymer chemistry biomaterial science and drug delivery and further expands into the fields of medical devices and nanomedicine the project involves academic and clinical collaborators active in the fields of polymer and pharmaceutical science as well as tb immunology the applicants expertise in translational polymeric biomaterials in medical applications will be further enhanced by a unique training programme in scientific and complementary skills nanoinhales impact goes beyond the studied area of tb as this platform technology is envisaged to be exploitable in other respiratory treatments project results will be communicated to the scientific community as well as the public to create further awareness of the importance of combating infectious respiratory diseases
spatiotemporal coupling between transcription and translation dynamics during development

during development precise control of gene expression allows the reproducible establishment of patterns leading to the adoption of cellular identities at the right time and place what are the mechanisms behind such precision to date this question has been primarily examined from the focal point of transcription however precision in mrna production is functionally relevant only if it leads to precision in protein expression while the linear correlation between the levels of a given mrna and the amount of protein it encodes has been assumed for the last six decades within the central dogma of molecular biology many examples challenge this view the control of translation particularly in distinct subcellular compartments where mrna are targeted may lie at the heart of this mrna to protein disconnect lightrna2prot aims to unravel the mechanisms underlying the lack of correlation between mrna and proteins levels to elucidate the sources of reproducible cell fate decisions during development importantly it considers both the layers of regulation constituted by transcription and translation respectively as well as their potential coupling we will use quantitative imaging methods that simultaneously monitor mrna nascent peptides and protein in drosophila living embryos combined with geneticoptogenetic manipulations to dissect the mechanisms at play lightrna2prot focuses on two key questions 1how do the translation dynamics of key localized developmental transcripts modulate precise patterning 2how are cotranscriptional nuclear events coordinated with translational control in space and time combined with mathematical modeling and phenotypic characterization our quantitative approaches will provide a dynamic multiscale view of gene expression control in vivo the novel integration of translational control has the potential to dramatically change our view of stereotypic pattern formation and reproducible cell fate decisions during development
building scalable pathogen genomic epidemiology for ethiopia

the 21st century witnesses increased incidence of epidemics zika dengue ebola sars with as latest highlight the recent covid19 following the outbreak of several infectious diseases during the last few decade the need for generating realtime pathogen genomic data for public health action has become more important than ever in the african context infrastructure human resource capability data analysis including bioinformatics lack of linkage between clinical epidemiological and pathogen genomic data as well the interaction between clinicians researchers and decision makers are some of the major challenges the aim of the epigen project is to build a capacity for integrated pathogen genomic surveillance for informed public health decision process the overarching specific objectives include strengthening collection and analysis of clinical and epidemiological data enhancing the capacity and capability for pathogen genomic sequencing including strengthening the laboratory infrastructure human work force pathogen genomic data analysis and the integration of metadata with genomic data developing and implementing innovative digital diagnostic platforms creating semireal time mobile phone applications for policy decisions and promoting communities of practice and knowledge exchange through fostering african collaboration and networking in the domain of pathogen genomic surveillance for infectious diseases epigen projects multidisciplinary consortium is drawn from several institutions from ethiopia engaged in national public health programs and eu partners the netherlands spain and germany overall the model approach proposed by epigen will enhance ethiopias national effort in mitigating the threat of infectious diseases the implementation of a national genomicinformed surveillance for infectious diseases will play significant public health role towards contributing to disease prevention and control programmes in ethiopia and beyond
archaea for human health

beside bacteria and fungi archaea the third domain of life have been described as a stable component of the human microbiome yet only few archaea have so far been isolated from humansthe project aims to demonstrate that a fundamentally new product derived from archaea revolutionizing current standards of treatments for human health can be developed from our initial breakthrough achievement the cultivation of these archaea the benefits of using archaea derived from human bodies promise a sustainable safe and beneficial treatment in the future