Dragon09/odtu_chatbot huggingface dataset:
hyscale economic green hydrogen production at scale via a novel critical raw material free highly efficient and lowcapex advanced alkaline membrane water electrolysis technology

the hyscale project addresses upscaling of an efficient durable sustainable and costeffective advanced alkaline membrane water electrolysis technology capable of producing economic green hydrogen at significantly higher current densities than soa electrolyzer the hyscale technology builds on the results from multiple eufunded projects in contrast to soa electrolyzers it is entirely critical raw material free without the need for fluorinated membranes and ionomers while meeting a significant fraction of the 2024 kpis already today at the lab scale due to many unique material choices and design features the hyscale water electrolysis technology distinguishes itself further from the soa by its potential to be upscaled costeffective and rapidly the sme and industrydriven project hyscale aims to upscale its electrolyzer technology with a focus on optimizing materials synthesis and components production especially membranes ionomers electrodes and porous transport layers respecting europes circulareconomy action plan a large area stack with an active surface area of 400 cm2 and a nominal power of 100kw will be developed capable of handling a high dynamic range of operational capacities with advanced economic and stable stack components these efforts will ensure durable and efficient operation at high current densities 2 a cm2 at ecell 1852 vcell at low temperatures 60 c with appropriate hydrogen output pressures 15 bar the projects final goal is to integrate the stack into a functional electrolyzer system with a capex target of 400 kw and its validation in an industrially relevant environment at trl5 this final step will accelerate technology development close the gap between research and commercialization significantly shorten the time to market and pave the way to a more sustainable europe
doctoral network on atmospheric dust

atmospheric dust gives us one of the most visible and detectable aspects of transboundary transport of atmospheric constituents impacting visibility radiation and climate what is less evident are its impacts on health transportation and energy production atmospheric dust is not fully understood at the fundamental level and models fail to fully reproduce its properties limiting potential societal benefits that could arise from more accurate predictions moreover dust observations are abundant but are still under development and each technique gives a different picture of a phenomenon with multiple facets finally dust affects the environment society and several socioeconomic sectorshere we propose the first doctoral network on a european scale to our knowledge bringing together expertise on mineral dust in the atmosphere and multidisciplinary methods dustdn is a strategic international and intersectoral alliance of highprofile partners it will be able to deliver advances in understanding fundamental dust properties and improve our knowledge and prediction of the socioeconomic impacts of dustwe will address the knowledge gaps through creating a cohort of early career scientists within a network between academic and nonacademic partners the doctoral network will be driven by the following research objectives at the frontier of science on atmospheric mineral dust 1 understanding of the fundamentals of dust microphysical properties and processes 2 identifying the influence of source regions on atmospheric dust properties 3 socioeconomic impacts of dust on health aviation and energy production and 4 dust in the global climate system the partners have unique scientific facilities for addressing these questions and a number of methodologies will be used including field observations remote sensing numerical modelling and laboratory experiments
flying archosaurs deciphering the physiological correlates of sky conquest

the first vertebrate animals were jawless marine organisms which appeared in the fossil record over 500 million years ago these lineages diversified and eventually crept ashore leading to further evolutionary divergence and become the charismatic living groups the evolution of limbs in one lineage of vertebrates set the stage for these vertebrates to colonize landmasses around 320 million years ago the waterterrestrial transition included some chalenges such as air breathing sustain the body weight dealing with gravity force and avoid the dehydration on land vertebrates radiated evolutionarily into many of the vacant niches welladapted on terrestrial enviroment was the time to the aerial conquest the extant flying vertebrates are the birds and bats but pterosaurs were the first vertebrates to rule mesozoic skies these three groups evolved convergently to power their wings and increase the metabolic capacity during the flight the origin of vertebrate flight is still unclear there is a dicothomy debate discussing whether it evolved from glidind or flapping ancestors there are discordancies between the experts some studies indicated pterosaurs as groundbased at hatchling and others suggested a powered flight in early life for these flying reptiles herein this project will create a new method to explore the origin of the flight in vertebrates investigating the metabolic challenges of the pionner group to accomplish this ability the archosaurs
motives and the langlands program

this proposal belongs to the field of arithmetic geometry and lies at the interface of number theory algebraic geometry and the theory of automorphic forms more precisely i aim to use algebraic cycles in the form of motivic sheaves to address fundamental questions about the langlands program for function fields this aims at motivic langlands parametrizations the langlands program predicts a decomposition of the space of automorphic forms by motivic langlands parameters a breakthrough of v lafforgue for function fields with generalizations by xue zhu drinfeld and gaitsgory led to tremendous progress in the construction of ladic langlands parameters the recent work of farguesscholze for nonarchimedean local fields uses similar techniques in another context this should be viewed as the ladic realization of the conjectured motivic parametrization independently recent advances for motivic sheaves as envisioned by grothendieck and realized by voevodsky ayoub cisinskidglise provide powerful techniques to handle algebraic cycles despite the immense progress in both areas hardly any advances have been made specifying the motivic nature of langlands original prediction my project aims to develop new tools to make motivic sheaves amenable for applications in the langlands program for function fields in my ongoing joint work with scholbach we have successfully implemented key constructions such as icchow groups of shtuka spaces and the motivic satake equivalence math ann bypassing the use of standard conjectures on algebraic cycles as in my joint work with haines this in particular requires to study the geometry of infinite dimensional varieties such as the affine grassmannian based on these results i will attack the longstanding open problem on the relation of automorphic forms and motives in the function field case
a clinical research network to improve the management of monkeypox virus disease

the 2022 monkeypox outbreak is unprecedented in scale and cases are still active in south america and starting to appear in southeast asia many questions about monkeypox virus disease remain unanswered to this day particularly concerning the management of patients mpxresponse aims to increase our knowledge of the monkeypox virus disease to improve its therapeutic management and to further inform public health policies and guidelines through four work packages wp wp2 mosaic will assess clinical and virological outcomes of monkeypox patients treated or not with antiviral drugs focusing treatment on the most severe cases wps 3 and 4 will conduct randomized clinical trials rct with the most promising antiviral therapy tecovirimat targeting patients in europe wp3epoxi and globally in collaboration with who wp4unity particularly in mild and moderate cases a common primary outcome will be shared between the two rcts and epoxi will include additional objectives regarding pharmacological immunological and virological outcomes in six to ten eueea countries and fulfill in particular ema requirements for treatment authorisation a continuous systematic review and individual patient metaanalysis will summarize all randomized evidence of the interventions for monkeypox finally the project will make sure that acquired knowledge is integrated into public health policies and guidelines and that adequate messages are shared with the general public and highrisk populations with the help of patients representatives and associations wp1coordinate to accomplish these objectives mpxresponse will build on the expertise and networks of multiples partners including ecraid and euresponse and will reinforce and broaden europes capacity to respond rapidly to public health emergencies
diving into data diversity for fair and robust natural language processing

despite great progress in the field of natural language processing nlp the field is still struggling to ensure the robustness and fairness of models so far nlp has prioritized data size over data quality yet there is growing evidence suggesting that the diversity of data a key dimension of data quality is crucial for fair and robust nlp models many researchers are therefore trying to create more diverse datasets but there is no clear path for them to follow even the fundamental question how can we measure the diversity of a dataset is currently wide open it is both surprising and concerning that we still lack the tools and theoretical insights to understand improve and leverage data diversity in nlpdatadivers will 1 develop the first ever framework to measure data diversity in nlp datasets 2 investigate how data diversity impacts nlp model behavior and 3 develop novel approaches that harness data diversity for fairer and more robust nlp models i operationally define the diversity of a text collection as the variability of texts along specific dimensions eg semantic lexical and sociolinguistic sociolinguistic diversity in particular is an overlooked but crucial dimension which i am committed to addressingdatadivers will break new ground by taking a comprehensive view of data diversity which is urgently needed for robust and fair nlp its approach will be both theoretical and empirical it will combine insights from disciplines that have developed methodologies to quantify data diversity with rigorous empirical experimentation datadivers will take a unique view on data diversity measuring it at the dataset level and across contexts for individual features finally datadivers will use its framework to develop diversityinformed data collection and model training methods datadivers results will impact the full nlp development pipelinefrom data collection to evaluationand open up a new urgently needed area of research
systems biology artificial intelligence and advanced biotechnology approaches to improve soil bioremediation

the growing presence of hazardous compounds in the environment such as persistent organic pollutants compromises the health of ecosystems and humans worldwide the spontaneous ecological recovery of contaminated sites is possible due to the action of biological agents including plants and microorganisms the exploitation of the capability of the latter to transform toxic contaminants into harmless endproducts can lead to cheap and sustainable bioremediation alternatives however the significant knowledge gap on the molecular mechanisms and microbial species responsible for an efficient detoxification of specific pollutants in determined environmental conditions is a burden slowing down the development of efficient microbial assisted bioremediation technologies biorem is an integrated action conformed by experts in microbial systems biology artificial intelligence tools and environmental sciences that will work together to gain knowledge in the identification of responsible microbial metabolic routes within natural and synthetic consortia for the degradation of target contaminants the project through intersectorial and multidisciplinary training and collaboration will investigate the synergetic effect of different and combined bioremediation strategies such as bioaugmentation bioestimulation and microbialassisted phytoremediation stablishing links between effective pollutants removal and the responsible microbial pathways predictive models for tphs and pah remediation will be developed using highperfomance computing hpc and artificial intelligence to enhance the efficiency of bioremediation strategies by enabling the analysis of vast amounts of environmental data the integration of the project information key microbial players and environmental conditions into mathematical models will allow the establishment of tailored and efficient removal strategies based on the chemical composition and natural microbiome presence in polluted sites
sensorbased technological platform to investigate the effect of ageinduced changes of oral physiology on the bolus properties and on the subsequent phases of swallowing and digestion

the main goal of oral processing is preparing food for swallowing and digestion where mastication determines the effective surface area of food particles and food bolus properties ageing induces changes in oral physiology leading to substantial alterations in bolus properties bioaccessibility and bioavailability of nutrients the impact of agerelated alterations on swallowing and digestion can be intensified by health conditions that may cause dysphagia sensingtech is an interdisciplinary research project that integrating a full sensorbased technological platform aims to investigate the evolution of food properties in mouth and the dynamics of food oral processing and saliva addition on bolus formation to quantify its impact on both swallowing and the delivery of nutrients this work aims to provide clearcut boundaries of food characteristics that ensure a safe swallow the key limitation of working with vulnerable people to accurately measure mastication swallowing and digestion will be overcome by developing a quantitative in vitro approach that mimics the human feeding process monitoring the stage ii of transport for solid food intake not captured by any in vitro system yet this project will enable the fellow to acquire a strong competence in food oral processing swallowing and digestion learning new methodologies and applications to meet the challenges linked to population ageing and the management of dysphagia this research will address the horizon europe he efforts devoted to health where the unique combination of expertise will lead the candidate towards an independent scientist career of high quality and strong international visibility sensingtech will therefore be a milestone for the future research career of the applicant positioning both the fellow and the host in leading positions in food oral processing and the dysphagia research field
agroforestry at the forefront of farming sustainability in multifunctional landscapes in europe

the primary mission of the project is to foster innovation knowledge exchange and provide novel solutions to empower farmers in europe and associated countries to deliver to multiple objectives food production carbon capture and biodiversity agroforestry is an auspicious land use type allowing farmers to continue producing food while significantly improving the environmental sustainability of their operations integration of trees into agricultural business contributes to a host of ecosystem services lowering the environmental and social impact of food production past research has attempted to foster the renaissance of agroforestry in europe resulting in a sizeable knowledge base and modelling capability the most critical barriers to agroforestry adoption in europe relate to lack of knowledge impact of tree planting on farm business and unclear policy support positioned between agriculture and forestry we will employ a cocreation and multiactor approach as our fundamental research method to place agroforestry systems in the right balance of farm productivity socioeconomic viability and sustainability we will maximise the use of existing knowledge and data utilise agroforestry living labs built upon foundations laid by previous projects and establish a stakeholder and actor engagement platform to enable knowledge transfer training and innovation this project will prioritise enhancing knowledge exchange and transfer enabling the integration of carbon and biodiversity finance in farm business models and by proposing targeted policy interventions as solutions to overcoming barriers to agroforestry expansion
small4good sustainable multifunctional management by small forest owners in support of bioeconomy biodiversity and climate

the strategic objective of small4good is to enable and activate smallforest owners to safeguard biodiversity and enhance the provision of ecosystem services from europes forests through multifunctional and locally adapted management models that are financially supported by pes and implemented with support by of digital and aibased solutions snall4good will develop multifunctional management and business models for owners of small forest financially enabled by schemes for pes with focus on biodiversity and carbon farming the management models are supported by digital and ai solutions to improve the capacity and engagement of smallforests owners to ensure the longterm impact the models must be aligned with the motivations of the individual owners and the local ecosystem and socioeconomic conditions hence small4good focuses on understanding the motivations of smallforest owners and pursues the development of business and management models through a multiactor living lab approach in four regions across europe this follows a cocreation approach that promotes rapid acceptability prototyping and implementation to outline realistic locally adapted pathways towards multifunctionality that are aligned with the ambitions outlined in the eu forest strategy the lessons learned will be used to enable smallforest owners across europe to enter the pathway towards sustainable and multifunctional management as a basis for a fair and inclusive transition towards the bioeconomy small4good is aligned with the work programme by providing outcomes contributing to the policy goals of the european green deal including increasing the multifunctional role and resilience needs under climate change and contribution to halting and reversing biodiversity loss this is achieved through better understanding of the motivations of smallforest owners local smallscale management models based on implementation of carbon farming and pes
multifunctional platform technology for magnetically actuated controlled drug release from biodegradable scaffolds

the extremely popular engineering field of drugeluting biodegradable scaffolds for regenerative medicine cancer treatment and cardiovascular therapies has largely failed to ensure therapy at the right place at the right time and with the right dose control of actuated drug release is the grand challenge to solve previous attempts struggled because at this time no technology is able to cope with the influence of scaffold alterations with degradationmad control will establish a multifunctional platform for biodegradable cardiovascular scaffolds and i make modelbased predictions of degradation states from realtime imaging ii reveal which actuation is best for targeted drug release in the actual degradation state and iii uncover how to generate this actuationthe platform comprises magnetic nanoparticles in hybrid scaffold materials tailored for a double function sensors for magnetic particle imaging and actuators for drug release with magnetic fluid hyperthermia the imaging results are matched with degradation states based on prediction models to be created and magnetic fluid hyperthermia is induced in a multimodal device to be developed control is achieved by coupling material data streams acquired through automated and comprehensive insitu measurements of the hybrid materials properties with modelling and control algorithmsthus the multifunctional platform promises a theranostic breakthrough ondemand release of a precise amount of drugs that can be deliberately chosen targeting efficacy is finally measured in vivo after extensive invitro testingthe outcome of this project will be truly transformative opening new possibilities for research and development of biodegradable implants as well as of magnetic transport and release systems for active agents and it is never limited to cardiovascular applications
alternative water resources and deliberation process to renew water supply strategic planing

award recognises the urgency of action due to water scarcity and climate change impacts as well as the need to engage simultaneously the society the science and the policy into the development of knowledge and strategic water planning therefore award will provide evidencebased solutions to consider awrs into water supply strategic plans based on sociopolitical engagement the 4 demo cases of award are already implementing awrs storm water rainwater and aquifer recharge in bucharest in romania as well as in milano in italy water reuse in cyprus storm water and rainwater in an industrial park in santiago di compostel in spain through the project activities demo cases will consider scaling up their actions taking in account a broader range of awrs together with conventional water resources for planning future water supply systems at local or regional level using award instruments local water fora digital platform for decision making training and guidance they will address similar issues in a harmonised and coordinated way societal awareness to support the decision process on awrs supply solutions will lead to the recommendations for further use of awrs encompassing the 4 dimensions of social innovation technological capacity development governance policy economics assessment the award awrs catalogue will gather the project results and additional solutions which will be benchmarked the digital platform provided by award will support the exploration of resilient scenarios that will be promoted beyond the scope of the project thanks to dedicated networking activitiesaward general objective is to provide evidencebased knowledge and lessons learnt on how to effectively integrate affordable acceptable and reliable awrs solutions into water supply strategic planning and implementation considering the effect of global changes