Dragon09/odtu_chatbot huggingface dataset:
life is science in a digital world

for the third and fourth edition of life is science the austrian centre of industrial biotechnology plans to extend its thematic focus on life sciences to the topic of digitization and has initiated a cooperation with st pölten university of applied sciences together an open event for the general public in the frame of the european researchers night is planned in austria life is science in a digital world lisdig visitors will gain insights into the everyday work of researchers in the disciplines of life sciences and digitization and their impacts on our daily life the event offers the participants to discover scientific contents along the following dedicated story lines health food climate environment culture community and digital transformation visiting laboratories and organizations putting hands on discussing with scientists contributing to open innovation and citizen science and watching demonstrations the participants will dive into recent scientific discoveries the researchers at school activities workshops in school classes will provide an increased flexibility for schools to attend the event independently from the main events in 2022 and 2023the envisaged activities aim to allow visitors to identify the connection between research and our daily life to drive participants motivation to be active at lisdig they will have the possibility to win some gifts hotel vouchers book vouchers experimental kits etc in this way some may discover their passion for science and their preference for a research career
in vivo metabolic determinants of t cell aging trajectories

t lymphocytes play a central role in the immune defense against intruders and support tissue homeostasis and function strikingly an aged or dysfunctional t cell immunity is sufficient to promote organ aging and multiple agerelated morbidities in this proposal we hypothesize that there is a bidirectional relationship between t cells and their in vivo microenvironment that could develop into a vicious cycle under conditions of aging and disease while a lot is known about the cellular mechanisms underlying t cell dysfunction with age a profound understanding of how aging of the microenvironment impacts t cell immunity is missing this work directly targets this gap to determine how the in vivo microenvironment in an aged mouse dictates t cells aging trajectories following on our preliminary findings we will study two major mechanisms 1 deficient metabolic support we propose novel mechanisms by which stromal cells in the t cell zone of secondary lymphoid organs provide t cells metabolic needs for activation and its failure in aged lymph nodes and 2 toxic signals specific to the aged spleen that inhibit t cell metabolism and activation finally we will investigate whether targeting these pathways would rejuvenate t cell immunity in vivo the proposed study will discover unknown mechanisms supporting t cells metabolism in situ and will provide a causative link between t cell aging phenotypes and aging of their microenvironment finding new ways to rejuvenate immunity holds the promise for comprehensive and simultaneous targeting of multiple agerelated pathologies
development of novel technology based on a hybrid of biophotoelectrochemical detritiation lightwater for tritium separation and simultaneously h2 generation

currently nuclear installations release approximately 44e16 bqyear of tritium the radioactive isotope of hydrogen to the environment worldwide as no technologies seem to be technically andor economically feasible for water detritiation aiming at the development of a novel and effective technology a hybrid of biophotoelectrochemical system for detritiation of lightwater bpecdw is presented for water reuse and simultaneously h2 generation as one of the most effective alternative energy sources in this multidisciplinary project solar activated nanomaterials based on modified tio2 and bivo4 and graphene oxide andor reduced graphene oxide will be synthesized and coupled with different bacteria to enhance the feasibility of hydrogen isotope h and t separation and catalyses h2 generation the bpecdw will be optimized by study of influence of key parameters on bpecdw performance to be accepted for the designing of the facility in the future the societal challenges in energy and water research are among the focus areas and recent priorities the economic impact of bpecdw relies on the utilities of solar irradiation and nonexpensive materials decreasing emissions of greenhouse gases ecofriendly and costeffective techniques there is a strong and clear twoway transfer of knowledge objective linked in bpecdw project with the transfer of a wide array of materials synthesis photoelectrocatalytic and pec water splitting expertise from applicant to the host institution while she will receive worldclass training in different research fields such as biotechnology microbiology and radiochemistry and develop her communication skills in an international environment which are excellent conditions for the development of her future career
unlocking the scientific excellence and innovation capacity of the university of aveiro in supramolecular multicomponent biomaterials for enabling advanced biomaterials for healthcare

supralife addresses current hurdles of uavr in the supramolecular biomaterials chemistry field regarding its scientific knowhow and partnerships with worldleading institutions uavr seeks to improve the multifunctionality of biopolymers often with limited bioactivity stimuliresponsiveness and mechanical properties and increase their performance in biomedical applications biopolymers integration with selfassembling motifs would enable the development of innovative supramolecular architectures with bioinstructive and adaptive behaviour for enhanced cellular response drug delivery and diagnosis supralife aims to surpass uavrs limited knowledge and expertise on noncovalent synthesis by launching an international scientific and training network to accelerate the pace on developing complex and innovative supramolecular multifunctional biomaterials to interface with living systems the consortium encompasses uavr and two internationallyleading institutions tue and ubx that will critically enhance uavrs scientific excellence innovation capacity and reputation in supramolecular chemistry and translational selfassembling biomaterials uavrs capability to train highlyqualified researchers and staff will significantly increase giving rise to a nextgeneration of specialised professionals with scientific and translational competences supralife proposes the organisation of joint events networking activities shortterm onsite trainings and staff exchanges expert visits and an exploratory research project for stepping up and stimulating uavr scientific excellence and innovation capacity outputs include increasing the trackrecord and quality level of publications ip innovative biomedical products and regionaltonational economic development supralife will empower the establishment of a groundbreaking and longlasting collaborative consortium for steadily and sustainably pursuing new joint research projects and innovative research lines at uavr
idealist transnational ncp project

the idealist project will give all ncps with responsibility for the digital destinations in horizon europe cluster 4 3 4 and 6 access to the knowledge tools and experiences they need to ensure top quality services to their clients in turn these services can result in inventive catalytic european projects over 30 ncp teams will pursue this ideal working together and operating across national boundaries resulting in stronger services exceeding the capacity of a single organisation in a purely national contextidealist has clear objectives to meet this goal o1 access to a rich knowledge base on the digital landscape of opportunitieso2 offerings that improve and expand their working tools and serviceso3 interaction among proposers ncps the commission and strategic partnerships on a personal level that enhances expertise and participationthe objectives translate to four sets of activities1manage share and maintain idealists knowledge base during and beyond the adjustment to horizon europe according to the fair principles and in cooperation with bridge2horizoneurope 2strengthen the sense of community and teamwork among digital ncps and other cluster 4 ncps 3offer services specifically designed for digital ncps and try their application in the other areas of cluster 4 4offer proposeroriented services focusing on the digital parts of cluster 4 and try their application in the other areas of cluster 4 activities will be monitored using an agile methodology via an activity execution dashboard aed allowing the project to deliver activities and tasks identify deviations and propose corrective actions measure progress towards success and quantify impact to achieve the highlevel objectives idealist will enrich the designated activities of ncps with transnational activities going beyond national mandates contributing to enhanced natural cooperation leveraging the services and creating economies of scale
compositional approximation schemes

neural networks have firmly established themselves as powerful tools in many scientific domains eg for protein folding recovering images of black holes or solving schrödinger equations although empirically highly successful neural network based methods very often lack the mathematical foundation to be able to guarantee the accuracy of the solution they produce while this lack of reliability constitutes a major issue for many applications i believe that for scientific machine learning in particular there is a promising path towards overcoming these issues as there usually exists knowledge of the ground truth one would like to learn eg that it must satisfy some partial differential equation the goal of this project is understanding from an approximation theory perspective when and why such knowledge may be exploited a defining property of neural networks is that they consist of a composition of simple building blocks from the view of approximation theory this is a major paradigm shift as it classically focuses on superpositional approximation ie based on taking linear combinations of simple building blocks this project aims to understand on a fundamental structural level how compositional approximation differs from classical superpositional approximation specifically it will first prove the existence of cases in which compositional approximation provides a fundamental advantage over superpositional approximation and subsequently develop ways to characterize these cases on one hand this will significantly deepen the comprehension of this paradigmshift in approximation theory on the other hand it will establish a foundation for the development of provably accurate neural networks based machine learning algorithms
population trajectories and cultural dynamics of late neanderthals in far western eurasia

in recent years knowledge of the processes involved in the disappearance of the neanderthals and the successful expansion of our species across eurasia has substantially increased still the spatiotemporal variability of the presumed mechanisms behind neanderthals demise climate change fragile demography interspecies competition makes it very challenging to evaluate the replacement at a continental scale the iberian peninsula due to its culdesac position and the role of its southern regions as one of the last refugia for the neanderthals represents an ideal natural setting for testing models of cultural and demographic trajectories leading to the final disappearance of those populations finisterra seeks to expand this framework by implementing an integrative interdisciplinary multiscale approach to the archaeological and paleoenvironmental records associated with late neanderthals in southwestern iberia supported by an unprecedented combination of geoarchaeological chronological and paleoecological evidence finisterra will specifically 1 provide a detailed characterization of late neanderthal adaptive systems presenting highresolution data on the timeline of events leading to their final disappearance 2 investigate the presence of the socalled early warning signals of neanderthals collapse through the use of cuttingedge quantitative analyses of cultural and demographic trajectories 3 explore alternative hypotheses of a gradual or sudden loss of neanderthals resilience by considering the impacts of climate change and the spread of modern humans into western eurasia the results of this project will have crucial implications for our understanding of the factors contributing to the demise of our sister species which ultimately were key components for our own success and uniqueness
unravelling the crosstalk between stellate cells and kupffer cells and its role in maintaining stellate cell quiescence

liver diseases are a global cause of mortality accounting for two million deaths a year of which half are attributed to liver fibrosis activated stellate cells are the major source of excessive extracellularmatrix deposition that drives fibrosis the signals that convert quiescent stellate cells into pathogenic myofibroblasts remain largely unknown spatial analysis from the guilliams lab has recently revealed that each quiescent stellate cell is paired with a kupffer cell kc in the steadystate liver this is because stellate cells play a central role in the maintenance of the kc pool indeed upon kc depletion stellate cells are the main cells promoting the recruitment of monocytes and their differentiation into kcs through the production of instructive signals interestingly in fibrotic livers of mice and humans the progressive activation of stellate cells is coupled with the gradual disappearance of kcs and profibrotic stellate cells are no longer paired with kcs i hypothesize that the kcstellate cell relationship is mutually beneficial and essential for liver homeostasis and that just as the stellate cell is the primary cell of the kc niche kcs play a key role in preventing stellate cell activation i have recently identified a mouse model in which the knockdown of a receptor for one of the main stellate cellderived instructive factors leads to an almost complete absence of kcs in the liver this yields a liver where most stellate cells are not paired with a kc interestingly these mice spontaneously develop fibrosis strengthening my hypothesis that kcs are crucial to maintain stellate cells quiescence in this project i will use scrnaseq and spatial transcriptomics to study stellate cells paired or unpaired with a kc to define and study gene targets involved in the kcstellate cell crosstalk in the hope to unravel the kcderived signals that maintain stellate cells in a quiescent state as this may lead to novel antifibrotic strategies
characterizing dynamics and drivers of resilience across scales in patagonian rangelands

increasing aridity due to climate change is a major factor that has dramatically altered the structure of patagonian drylands which has resulted in changes in ecosystem structure and functioning eg a loss of vegetation biodiversity and soil erosion such changes ultimately lead to a loss of resilience the systems ability to resist and recover from external disturbances while retaining the same function and structure although our ability to monitor resilience at large scales has been accelerated by remote sensing data and techniques greater insights into the role of certain biotic and abiotic variables eg species richness or soil carbon on resilience at the local scale would create new opportunities to support sustainable management to increase resilience across patagonia in this project i will bridge these scales by linking remote sensing time series data and a unique database maras of continuous field observations across patagonian rangelands managed by argentinian partners specifically i will 1 characterize changes in resilience in response to increasing aridity based on remote sensing between 2000 2025 2 collect and analyze ground observations and 3 investigate drivers of resilience dynamics across patagonian rangelands integrating the remote sensingbased resilience and field data to achieve this i will use stateoftheart methods in ecology and data science eg time series analysis and machine learning to deliver a better understanding of which environmental variables impact resilience in what way i will carry out the research at the complutense university of madrid spain at the department of biodiversity ecology and evolution under the guidance of dr miguel berdugo and i will undertake a secondment with the soil conservation research group at the national university of lujn argentina under the supervision of prof dr juan jos gaitn
decoding the combinatorial epigenetic information of the mammalian genome with engineered dna duplex readers

in mammalian genomes epigenetic modifications of the nucleobase cytosine occur in both strands of the dna duplex in the sequence cpg and they are central regulators of gene expression as well as important cancer biomarkers however current analytical techniques cannot reveal the combination in that these modifications occur in the two strands of a dna duplex the resulting inability to create genomic maps of these cpg duplex modifcations represents a major roadblock for future developments in epigenetics research and cancer diagnosis we have engineered the first affinity enrichment probes for selectively analysing novel cpg duplex modifications and integrated them into userfriendly and costeffective kits for genomic mapping in this project we will develop and commercialize two kits for mapping of the most important novel cpg duplex modification consisting of 5methylcytosine and 5hydroxymethylcytosine for the epigenetics research and the liquid biopsy markets this will provide decisive new impulses for epigenetics research as well as for cancer biomarker discovery and liquid biopsy both large and rapidly growing markets
directed evolution of metastable electrocatalyst interfaces for energy conversion

it is our aim to transform the research field of electrocatalysis from the established initial assynthesized state approach to a datacentric understanding of the metastable active interface of electrocatalysts constantly evolving under reaction conditions we want to overcome the limitations of elemental or binary alloy catalysts by exploring and exploiting high entropy materials hem as a discovery platform for sustainable materials with the aim to identify in the extremely large multidimensional search space new electrocatalysts that are both stable and activeto understand and control the active interface of hem electrocatalysts we combine the core expertises of the pis theoretical modelling and simulations highthroughput synthesis and characterization nanoparticle synthesis electrochemical operando techniques as well as machine learning our synergistic approach will significantly advance these individual competences by key conceptual innovations i evolutionary screening of microlibraries to efficiently identify stable materials covering the complete hem composition space ii accelerated atomicscale characterization of hem surfaces by combining combinatorial hem synthesis with atom probe tomography iii highthroughput operando experiments with thin film material libraries iv developing inverse activitystructure relationships and theoretical descriptors for metastability v implementing active learning approaches based on materials informatics and using a semantic data lakewe will establish a theory of metastability as a core concept for the understanding of electrocatalysis for the most important energy conversion reactions oxygen reduction and evolution and co2 reduction instead of passively accepting the degradation of catalysts during operation we will direct the evolution through the highly multidimensional space towards longlasting active hem interfaces
latestage clinical development of chikungunya vaccines in endemic countries chikv and controlled human infection models for sarscov2 and other beta coronaviruses chim

a framework partnership agreement fpa between the coalition for epidemic preparedness innovations cepi and the european union eu was signed in april 2019 to finance and coordinate the development of new medical countermeasures to prevent and contain infectious disease epidemics which are of particular concern to low and middleincome countries as part of the fpa a call for proposals cfp was launched jointly with the eu and supported the preclinical development of rift valley fever virus vaccines and the latestage development of chikungunya virus vaccines chikv while previous funding has led to the development of prelicensure chik vaccines in this current application we like to further advance our chik vaccine programme and support chik vaccines that are near or have achieved regulatory licensure by supporting their clinical development into phase iv clinical trials to increase our understanding of the longterm safety durability of protection and effectiveness against virologically confirmed disease furthermore we would like to expand the use indication by supporting clinical trials in vulnerable populations including children immunosuppressed and pregnant women as part of this grant application we also like to launch a cfp on controlled human infection models chim the overall objective of the chim proposal is to support research projects that increase knowledge in vaccineinduced mucosal immunity and advance the development of transmissionblocking vaccines against coronaviruses and other potential respiratory viral threats the expected outcome of this cfp is to create a global network of experts conducting chim at a high level of consistency and reliability this current grant application seeks to leverage 70m from horizon europe which will be supplemented with 30m from cepi making a pool of 100m awards will have a 3648month duration and will be administered by the cepi secretariat
understanding and fighting inequity in education breaking the cycle between socioeconomic disadvantage low confidence and resignation

equity in education is a central and longstanding concern of countries around the world despite significant amounts of public resources invested over several decades towards disadvantaged children the relationship between education outcomes and personal circumstances remains persistently strong in most countries the objectives of my project emancipate is to make progress in our understanding of why there is such persistent social inequity in education i will explore a new channel perceptions and beliefs resulting from social stereotypes and leading to low confidence lack of hope and discouragement i argue that how students perceive their capacity and the likelihood that they will succeed is an important driver of their motivation and effort which might be just as important for academic performance as external factors such as class size or teacher salaries selfperceptions and anticipations may thus be one way social disadvantage perpetuates itself the key questions that i will address are whether socioeconomic status creates low confidence lack of hope and resignation whether this affects downstream educational attainment labour market outcomes and individual welfare and how this negative feedback loop can be broken emancipate will advance this research in three steps first i will use international assessment tools on nationally representative samples of adolescents to test the accuracy of their selfperceptions and anticipations and the existence and scope of the resignation mindset second i will use two interventions aimed at reducing the resignation mindset to examine its longterm impacts on educational attainment labour market outcomes and individual welfare third i will develop and test two interventions targeting the main actors of the education system the teachers and the parents to foster students selfconfidence hope and motivation and ultimately reduce the achievement gap between disadvantaged and advantaged students