Dragon09/odtu_chatbot huggingface dataset:
european clinical research alliance on infectious diseases primary care adaptive platform trial for pandemics and epidemics

european citizens affected by covid19 have been wellserved by landmark clinical trials in hospitals that have found treatments that save many lives however there are fewer opportunities for people in the community to contribute to the urgent mission of finding treatments that speed recovery and reduce the need for hospital admission in the first place evidencebased therapeutics for use in primary care have the potential for considerable reach and impact on individual suffering and functioning as well as on the sustainability of health services ecraidprime a european adaptive platform trial apt of therapeutics for patients with covid19 and potentially covidlike illness in primary care will build on many years of eu investment in infrastructure for primary care trials and a mature primary care research network that has pioneered novel efficient platform clinical trial designs in the winter of 202223 respiratory viruses will be cocirculating and disease aetiology cant be distinguished solely on clinical grounds treatments with potentially broad antiviral activity will be most beneficial if started early in the disease trajectory for those treatments patients with syndromic covidlikeillness might be includedecraidprime with a focus on early phase studies of safety and efficacy of exciting candidate treatments for covid19 and covidlike illness will be rapidly set up its goal is to test at least four candidate treatments identifying suitability for inclusion in the next phases of research and so leading to critical additions to the primary care therapeutic armamentarium against covid19 and covidlike illness ecraidprime will additionally help complete the vison for a lasting integrated comprehensive and sustainable european clinical research preparedness and response capacity ecraid that will provide a full integrated suite of international priority clinical trials in intensive care units hospital wards and now in primary care as well
recognizing european potential for hosting deep land primary crm by combining new mineral models and advanced exploration and visualization techniques

dexplore seeks to revolutionize mineral exploration in europe by developing innovative approaches to counter declining ore deposit discovery rates focusing on deepseated deposits critical for the economys decarbonization the project emphasizes engaging the general public and stakeholders combining innovation at various levels and utilizing cuttingedge tools and technologies targeting essential materials across extensive geological terrains dexplore proposes a holistic innovation package integrating uavassisted infield mineral detection advanced earth observation methods and novel deepland geophysics techniques to reach at least 600 m depththe initiative outlines the development of updated ore models improving exploration technologies and providing a visualization platform this platform will integrate geological remote sensing and geophysical data to enhance access to information about eu potential in critical raw materials while increasing public awareness dexplore also aims to strengthen cooperation with strategic partner countries establishing a robust advisory board and fostering collaboration with other eu initiatives for joint activities and result sharing in summary dexplore represents a collaborative effort to advance mineral exploration contribute to sustainable sourcing of critical raw materials and ensure eus open strategic autonomy
identifying factors of resistance and susceptibility to dengue virus infection in aedes aegypti mosquitoes

emerging infectious diseases represent a global health problem as demonstrated by the covid19 pandemic among them viral pathogens transmitted by mosquitoes represent a growing threat to human health due to global warming and globalization for example aedes aegypti mosquitoes are the main vectors of dengue viruses that infect 400 million people annually however major knowledge gaps remain in our understanding of interactions between mosquitoes and viruses for example the mechanisms underlying natural variation in susceptibility to viral infection between different mosquito populations remain mostly unknown my project aims to address this question using novel methods combining singlecell transcriptomics and metabolomics approaches first i will identify ae aegypti mosquito populations that are highly or poorly susceptible to infection with dengue viruses next i will analyze infection dynamics in key mosquito organs the mosquito midgut which is the entry point for the virus and the fat body which regulates metabolism i will analyze their response to virus infection using singlecell transcriptomics and metabolomics a joint multiomics analysis of both datasets will describe for the first time the metabolic functions of different cellular subpopulations of the mosquito midgut and fat body upon dengue infection it will reveal the metabolic pathways and gene expression patterns that are associated with susceptibility towards virus infection at the cellular level finally the contribution of these candidate genes and metabolites to susceptibility or resistance to infection will be validated using functional assays eg chemical inhibition gene knockdown in vivo this project will address an important knowledge gap in virusmosquito interactions by revealing metabolic factors underlying susceptibility towards dengue virus infections these results might contribute to the development of innovative diseasecontrol strategies in the future
novel production routes for the fabrication of tailormade crystalline selfstructuring oleogels for functional food and pharmaceutical applications

one out of five deaths in the eu in 2017 were linked to unhealthy diets and it is estimated that 53 of the eu population is overweight or obese creating an unsustainable burden on national sanitary systems overconsumption of fats particularly saturated ones is one of the main causes of obesity hence promoting diets that are lower in fats is essential one strategy could be the reformulation of fatty foods with a lower amount of both saturated and total fats however this is challenging as fats provide characteristic functional properties that are hard to replicate with different ingredients the use of oleogels to replace pure fats is a valuable option to solve this difficult task oleogels are materials with a reduced content of saturated fatty acids achieved via the structuring of a liquid oil with a gelator agent they can be further processed to obtain more complex food ingredients with reduced calories and interesting organoleptic properties oleocolloids the application of oleogels is still limited due to several regulatory technological and environmental limitations building on the knowledge gained from the erc stg grant cryform newoilfactory aims at overcoming these limitations by developing novel manufacturing processes for the production of crystalline oleogels made from sustainable liquid oils without using hydrogenated fatty acids or expensive gelling agents and following the mildprocessing paradigm as part of the project these processes will be tested at laboratory scale optimized using engineering simulation tools and validated in terms of scaleup feasibility as well as economic and environmental sustainability in parallel an evaluation of their market potential and a competitive analysis will be performed a knowledge transfer strategy including patenting licensing and the creation of a consultancy startup for further research and codevelopment with industrial partners will also be established
atmospheric physics and turbulence for wind energy

the atmospheric physics and turbulence for wind energy aptwind doctoral network provides training for a new creative entrepreneurial innovative and resilient industryoriented academic generation apt to face current and future challenges at the frontier of research within atmospheric flow physics and turbulence for wind energy applications where the trained doctoral candidates dcs will be able to convert knowledge and ideas into new products and services for economic and social benefitthe needs within this field recently became even more urgent by the launch of repower eu and the fitfor55 package there the already ambitious climate goals were revised and the commission has committed to increasing its renewable energy target from 32 to 40 by 2030 this measure requires the installation of new wind farms with a power capacity of 30 000 mw every year until 2030 which heavily relies on the realization of taller and therefore more powerful wind turbine designs reaching into less well understood atmospheric flow regimes aptwind will not only provide a new generation of professionals equipped with a portfolio of transferable skills that facilitates the transfer of highlevel academic research into practical and useful tools and methods in the industry but also will contribute to breaking some major barriers for the ambitious green energy transition the barriers are both in the domain of measurement technologies and modelling approaches as well as in the training domain as further described in this proposal
formalised reasoning about expectations composable automated speedy trustworthy

automatic differentiation ad systems like tensorflow and probabilistic programming languages ppls like stan automate complex computations of derivatives and bayesian inference tasks by stream lining these computations for nonexpert users these highlevel systems have accelerated progress across science and society eg by enabling machine learning yet the theoretical foundations needed to build a highlevel system for composable programming with derivatives and probabilities are missing this chasm in our knowledge severely limits the implementation of machine learning techniques preventing them from reaching their full potential specifically we do not understand a how to perform ad on programs built using probabilistic choices and expected values or b how to compose ie combine and integrate bayesian inference algorithms forecast addresses this chasm by developing programming language theory and tools for flexible composable and efficient calculations with derivatives and prob abilities wp 1 develops case studies in collaboration with domain experts to ensure that forecast creates theory and systems relevant to realworld complex modelling problems wp 2 develops the semantic foundations algorithms and formalised correctness proofs for composable ad of probabilistic programs wp 3 builds a practical stochastic ie probabilistic ad system that synthesises these novel gradient estimation techniques wp 4 establishes theoretical foundations to compose bayesian inference algorithms in ppls wp 5 implements a userfriendly ppl that facilitates composable bayesian inference enabling more flexible modelling for a wider user base by mathematically formalising generalising optimising and implementing a next generation ppl this project will lay a trustworthy foundation upon which probabilistic data analysis applications eg reinforcement learning proteomics modelling and paleoclimate reconstructions can rise to the next level
highfidelity collaborative perception for small unmanned aerial vehicles

over the past two decades we witnessed impressive advancements in robotics amongst the most disruptive developments was the demonstration of small unmanned aerial vehicles uavs equipped with onboard cameras conducting autonomous visionbased flights without reliance on gps sparking booming interest in a plethora of usecases such as automation of drone delivery and infrastructure inspection and maintenance this led to the emergence of new algorithms advanced sensors as well as miniaturized powerful chips opening exciting opportunities for automating single as well as multiuav navigation current solutions however lack greatly in robustness and generality struggling to perform outside very controlled settings with onboard perception constituting the biggest impedimentworking in this area for over a decade it is troubling that despite dramatic progress we still lack the technology to enable a uav swarm to autonomously scan the seas for refugee dinghies or forest areas for wildfires and to provide help in such dire situations while in principle the core technology is the same across all usecases battling adverse conditions such as wind smoke and degraded illumination render the latter usecases extremely challenging as they are timecritical and cannot be postponed until favorable conditions arise employing some of the currently most promising sensors such as lidar and advanced depth thermal event and visual cameras skeyes proposes to address fundamental research questions to understand how to process and combine these heterogeneous sensing cues onboard a swarm of small uavs the goal is to achieve joint spatial understanding and scene awareness for effective autonomy in highly dynamic and realistic scenarios engaging such eyes in the sky the focus is on robust collaborative perception to enable intelligent uav swarm navigation exhibiting adaptability in completing a mission in challenging conditions at the push of a button
experimental constraints on carbon transformation and reactivity of abiotic biotic compounds during serpentinization within the lithosphere

circulation of seawater through the oceanic lithosphere represents the largest fluidrock interaction system on earth as a volatile part of biological and geological cycles carbon is profoundly affected by fluidrock interactions as gaseous co2 and ch4 carbon is a greenhouse gas and in the form of simple carboxylic acids it is an energy source for subsurface life however our knowledge of carbon fluxes and the fate of especially organic carbon in hydrothermal systems remains limited detailed datasets of rockdominated open system experiments and in situ identification of organic compounds are needed to determine the mechanism that controls co2 fluxes and reactivity in the subsurface and to extend our knowledge of the deep biosphere conventional experiments often use closed system reactors and microbiology studies often depend on bulk rock analyses these methods only provide a first idea of the reactions occurring in the lithosphere the project presented here aims to conduct novel opensystem experiments to increase our understanding of environmental conditions and processes that control the in situ transformation and reactivity of carbon compounds within hydrothermal systems parameters influencing the reactivity will be disentangled by combining stateoftheart element and microstructural analyses with new powerful 3d visualization methods first a better understanding of organic matter flow within the lithosphere is established afterward a conceptual model for ctransformation will be developed by applying experiments in a monitored environment finally the results will highlight the effect of coupled processes occurring at the pore scale on the carbonation rate and efficiency relevant to industrial implementation ecoct will allow me to improve my interdisciplinary skills and thinking increase my professional network and gain experience in outreach and management thus greatly enhancing my future career opportunities
aquatic imaginations interrelation of fiction and policy in shaping a sustainable future

waterrelated issues such as floods and droughts water rising and water pollution are global concerns and have all been central targets of chinese governmental policy implementation in the last decades lee 2021 starting with the recognition that finding solutions to water related problems is vital for humanitys present and future this study examines the chinese case as extreme rather than simply exemplary one particularly significant for its global ramifications building on studies on ecocriticism and chinese literature and on climate fiction in china idra wants to explore the interplay between literary studies and policy studies focusing on what i refer to as aquatic imaginations this term alludes to both governmental policies marked by a promissory tone aimed at building the best of all possible worlds one in which lucid waters and lush mountains are invaluable assets xi 2022 and the fictional representation of these policies aftermath whether direct or figurative which end up expressing environmental preoccupations and ecoambiguities thornber 2012 by collecting a large corpus of representatives waterrelated fictional works from the sinophone world and analyzing them through an ecocritical lens idras first section will demonstrate how these representations of ravaged oceans magical tides rising sea levels and polluted rivers imbued in varying degrees with a dystopian undertone suffused with hope represent a measurement of public anxiety towards the limited foresight of the previously mentioned political visions idras second section also focusing on present and future waterrelated issues builds on the cofutures methods to approach aquatic imaginations from a different angle its goal is to showcase differently to what was seen above how literary studies can inform policy studies related to the environmental crisis and raise public awareness
new technologies for african swine fever vaccines

vax4asf aims to develop a stateoftheart platform to produce highly effective and safe vaccines against asfv targeted for both domestic pigs and wild boars these vaccine candidates will be designed based on an innovative and robust vaccine platform that will guarantee immune protection against the different circulating asfv variants in europe while avoiding the safety concerns arisen with the use of traditional live attenuated vaccine platforms vaccine candidates will effectively induce innate immune response with the adequate adaptive immunity moreover the immunity induced will allow discrimination between vaccinated and infected animals which will be monitored by complementary diva tests developed under the scope of the project given the complexity of asfv genome and the still incomplete knowledge of the mechanisms involved in immune response to asfv vax4asf aims to further understand the molecular mechanisms of the virus and how it interacts with the host the developed platform can be used to introduce new mutations based in this new generated knowledge which will allow to improve the efficacy and crossprotection of the vaccine prototypes vax4asf will provide new virus epidemiology models and control strategies using different mathematical models leading to a better understanding of the asfv transmission at the wilddomestic interface in this way innovative policies and strategies for asfv control and management will be generated to ensure an outstanding impact through the continuous involvement of key stakeholders as project partners farmers wild board managers veterinaries hunters policy makers leading to a profound effect in animal health and worldwide economy the project relies on a solid collaboration trajectory between leading developers of innovative animal health vaccines and the highest experts in asf field at international level including partners from europe usa and kenya for the achievement of this challenge
spatiomind shop floor tools

nebumind is a german company founded in 2019 with the vision to use the growing amount of data available in production companies to increase the quality of manufactured products and facilitate the shift toward industry 40 nebumind is the result of the combined experience of its two cofounders franz and caroline they have spent over 13 years working in aerospace manufacturing and have gained an indepth understanding of production methods sensor technologies quality monitoring and data processing before founding nebumind they jointly built up and managed the airbus subsidiary infactory solutions developing online sensor systems during that time franz and caroline sensed that manufacturing quality still had great potential for improvement because is often based on experience and intuition this gives room for interpretations and results in limited improvements during running production acceptance of recurring scrap and flat learning curves so they developed spatiomind the first software on the market making quality analyses during manufacturing economical for production companies spatiominds unique selling point is based on the innovative data search engine developed internally which can reduce datainformation search by a factor of 1 billion compared to conventional solutions it enables manufacturers to retrieve quality data very efficiently on any manufactured component display it in an intuitive 3d visualization for first insights and use it for the implementation of more automated quality control and improvement processes in productions spatiomind is suitable for aerospace automotive and semiconductors manufacturing and has raised the interest of industries it has been validated in pilot with large manufacturing companies including airbus mt aerospace fraunhoferkuka ariane group and otto fuchsunder the womentecheu the company aims to validate the market and improve product development of the three automatic shopfloor tools
federated digital twins for windoffshore

the objective of dtwo is to develop a federated digital twin dt integrating existing simulation assets and realtime data to transform them into virtual power plants delivering uptodate energy system powered by offshore wind the core innovation of dtwo is to build the firstofkind functional dt that does not require users to share commercially valuable data centrally but instead offers them a customisable platform where users can spin up bespoke dts drawing from a range of validated models and datasets to provide better decision support for complex investments decisions the fast offshore wind energy owe development challenges our knowledge and tools which were developed and tested for onshore conditions smaller wind turbines wt and wind farms wf and energy system over smaller regions it urges us to revisit theories and improve models of the owe production system dtwo engages with existing eu digital initiatives combines advanced research institutes and most influential industry partners to update theories and improve modeling systems with feedback loops between virtual and realworld systems this includes integrating destine considering weather with airsea interaction in the presence of wf wakes implementing fullscale turbulence models suitable for wts taller than 200 meters for both normal and extreme weather conditions this feeds into calculation for siting conditions and energy yield turbine health state and reliability predictions grid interconnectivity and energy system for both bottomfixed and floating wts and wfs of both historical and future scenarios dtwo builds a software architecture with data and tool hubs integrating modules earth wakes siting turbines and grids dt modules and components are tested with use cases defined by rsted simens gamesa renewable energy enfor vestas and tso dtwo allows coordinated assessment of energy yield wt performances sectorcoupled energy market suitable to large paneurope system