Dragon09/odtu_chatbot huggingface dataset:
extreme citizen science techniques and tools in the cloud

over the past decade the extreme citizen science group has developed a methodology to engage low literate participants in the coproduction of scientific knowledge in an inclusive and ethical methodology that ensures community involvement and shared benefits the methodology involved a set of technical tools that are named sapelli collector sapelli viewer sapelli designer and geokey prototypes of these tools were developed through the ercadg2015 ecsanvis project and have been shown to be effective and useful in over twenty case studies in twelve countries in the global south our research has thus demonstrated that any community with low technical literacy can play a part and collect data with smartphones in all the different landscapes of the planet from rainforest to drylands and croplands enabling this has the potential of engaging 1 billion people currently excluded from knowledge coproductionthe ecstatic project is taking the next step in scaling up the use of this novel sociotechnical approach to develop large scale communityled socialecological services the approach holds the potential of addressing a wide range of social and environmental issues from protecting resources that are critical for indigenous people to mitigating climate change risks and monitoring supply chains in remote locations through cocreated citizen science the aim of the project is to develop the next generation of sapelli technology so it is streamlined and integrated and therefore can be used more easily by third parties as well as identify the necessary pathway for the development of a knowledgebased social business with software as a service and support services at its core this way the technology can remain free and open source including guidelines and tutorials while securing the necessary funding to develop it further collaborations with nongovernmental organisations in cameroon and ethiopia will ensure the efficacy and relevance of the project
beyond representative volume elements for random heterogeneous materials

as a result of the production process many industrially relevant materials show a heterogeneity of their composition on a lower scale leading to an uncertainty in their material properties traditionally computational multiscale methods are built around the concept of representative volume element rve which seeks deterministic effective properties on cells which are sufficiently large however the concept of rve is both too crude and too restrictive for todays engineering requirements the rve concept is too crude because of its insensitivity to the material randomness which is crucial for assessing the reliability of structures the rve concept is too restrictive because representative volumes need to be truly gigantic for certain multiscale materials eg longfiber reinforced thermoplastics lfts precluding a computational treatment in reasonable timebeyondrve introduces and studies microstructureuncertainty quantifying volume elements qves which account for the dispersion of the effective properties on cells of finite size me and my team will build up a groundbreaking multiscale methodology taking into account the latest neuralnetwork technology and screening the spurious boundary layers which arise for digital volume images of microstructures methodologically beyondrve intends to provide a novel microscale solver which combines the efficiency of regulargrid methods and the accuracy of boundaryconforming meshes as well as fast and precise microstructuregeneration tools for a variety of heterogeneous and composite materialswithin beyondrve these complementary pieces of simulation technology will be developed in an integrated and interdisciplinary fashion upon completion a significant boost for the nonlinear mechanics of heterogeneous materials and lightweight design is expected providing multiscale methods with more expressive results in shorter time for larger classes of materials with higher complexity
accelerating scale up and commercialisation of 100 bacteria free eggs for use in production of vaccines

ovagen is aiming to transform the eggbased production of vaccines and other biopharmaceutical medicines by producing the worlds first germ free egg and bringing it into mass production the proposed programme of work will build on the groundwork initiated as part of the 30 month ovavax project ga 858390 and provides a logical expansion of this disruptive innovative technology to the challenges facing the world as it comes to grips with covid19 and future pandemics with the need for rapid scaleup of vaccine production ovagen is applying for eic accelerator funding to broaden the project scope of their existing h2020 sme instrument phase 2 to expand and accelerate the existing influenza project to include covid19 yellow fever newcastle disease and to include readiness for production and accelerated international scaleup of germ free egg production to increase global vaccine manufacturing capacity in readiness for future pandemics similar to covid19
cloud open source research mobility network

cloudstars is an open source research mobility network in the field of cloud computing technology the proposal combines eleven academic institutions in nine european countries spain portugal uk germany netherlands italy austria poland switzerland two companies in europe sap in germany nearby computing in spain and three industrial laboratories from ibm usa switzerland and israel the major flow of secondments is scheduled between the academic institutions and ibm industrial labs but also including a significant number of secondments to sap and nearby computingcloudstars will create a global reference community in open source cloud computing the participants will combine theoretical skills andexperience in distributed systems research with industrial open source technologies and cuttingedge cloud and edge infrastructures this will increase the overall global impact of research contributions helping to arrive to millions of interested third parties through open source communitiesthe general goals of the project are1 increase the impact of european researchers with contributions to key open source projects and the involvement in open source communities2 rise the careers of european researchers through wellestablished networks both across eu and with global open source players3 increase the reproducibility of results in science and data analytics through standard cloud container technologiestechnical goals are1 development and benchmarking of next generation container technologies leveraging open source cloud native computing foundation cncf projects and gaiax protocols2 design novel cloud serverless middleware over container technologies including function as a service serverless containers and eventbased orchestration3 apply novel machine learning techniques for managing containerized cloud and edge systems involving the infrastructure and configuration of executions and services
exploring the pfas alternativesinduced immunotoxicity and impact on intercellular communication

per and polyfluoroalkyl substances pfass are emerging environmental contaminants which are highly persistent in the environment with multiple hazardous properties including immunomodulationimmunotoxic potency human exposure to pfass has been associated with various immunemediated diseases and outcomes recently the european chemicals agency echa called for a gradual ban of over 10000 pfas compounds in europe as concerns grow about the persistence and toxicity of pfas the market has shifted towards new pfas alternatives however little is known about the potential risks of these newer chemicals pfass have now widely been replaced in many consumer products with pfass with longer carbonchains like perfluoroundecanoic acid pfunda rising exposure levels of pfunda has been already observed and it was reported previously to have negative effect on the immune system in vitro and in vivoblood plasma transports mrna that modulate immune responses and also extracellular vesicles evs that play key role in intercellular communicationthat and can transport biologically relevant cargo including micrornas mirnas and may partly mediate the effects of pollutants on the immune system this project aims to determine how new pfas alternatives affect the immune system in long term exposure to fully understand the mechanisms and to address the multifaceted nature of chemical induced immunotoxicity the study focuses on changes of key mrna biomarkers related to the immune system and on the evmirna cargo of extracellular vesicles in long term pfunda exposure our goal is to develop a multibiomarker palette identifying key mrnas and evmirnas in zebrafish to screen novel chemicals for their immunotoxic potency that is high throughput quick and easily measured from blood
causal reasoning policy opportunities and the emergence of selfserving narratives

narratives the stories people formulate to make sense of the world contain at their core cause and effect relationships that people use to connect the events they observe these relationships are crucial for interpreting data forming expectations and evaluating policy proposals this project aims at improving our understanding of the role of economic narratives their interaction with policy proposals and how they can be manipulated by economic actors the ultimate goal of this project is to suggest strategies to follow when faced with contexts in which struggles over policies might generate polarized views of how the world worksthe project is divided into three areas and combines ideas and methods at the intersection between economics sociology psychology and computer science the first area of research involves behavioral experiments in which i will study how narratives react to the cost of policies available to agents in particular i will investigate whether agents tend to adopt narratives that are selfserving that is compatible with the policies they find least costly the second area of research focuses on the role that narratives played in shaping political preference in the second half of the xx century i will consider labor unions to study the factors behind the emergence in the united states of a narrative highlighting their mischiefs these results could highlight the magnitude and importance of the consequences generated by those that become prevailing narratives in a society the last area of research will involve a methodological study on how to measure narratives from text i will work to extend the available methods with the goal of explicitly capturing causal relationships this contribution could favor the emergence of new work in the field by other researchers who could easily analyze large corpora of text
actively learning experimental designs in terrestrial climate science

while landatmosphere exchanges of carbon water and energy are key to understanding changes in the earth system we still fundamentally lack a methodology to obtain representative estimates of these surface fluxes at the scale of a single grid cell of an earth system model typically 10100 km let alone for a wider region activate combines an observing system consisting of a swarm of drones carrying meteorological sensors and gas analyzers mobile and stationary flux towers as well as satellites and fuses their observations with different landatmosphere models using data assimilation methods activate will develop an adaptive bayesian experimental design framework to generate maximally informative observation strategies for expensive data collection and adaptively reposition drone swarms during a flight as new observations become available to optimally infer surface fluxes in the landscape we will demonstrate the framework i in idealized synthetic experiments ii at managed and industrial sites with known flux hotspots and iii in targeted highresolution simulations in poorly represented regions with expensive models that explicitly resolve subgridscale processes in earth system models we will apply the activate framework around existing observatories in vulnerable arctic regions where the lack of strong observational constraints from stateoftheart observing systems is particularly apparent and problematic activate will produce unprecedented observational datasets for new model developments in some of the most datasparse regions on earth uncertaintyaware parameter estimates for critically unconstrained processes and a pioneering active experimental design framework for terrestrial observing systems the broader vision of activate is to develop active learning capabilities for improved data assimilation in models to elevate our understanding of landatmosphere interactions across spatiotemporal scales
photonic integrated lidar and snapshot spectral imagers for scaling up multimodal perception in precision applications

retina aims at developing two new photonicbased sensory systems encompassing hardware and software solutions to meet the high added value and customised needs of the healthcare automotive and agriculture sectors the project will define a holistic framework for photonic technologies development where specific efforts on nextgeneration hardware solutions focused on a novel picbased lidar solution and costefficient cmos ingaas and qds snapshot spectral imagers are coupled with the creation of a digital infrastructure for agile and efficient machine learningbased perception algorithms development retina will demonstrate how direct collaboration among photonic solutions developers and manufacturers data elaboration and ai experts as well as leading sectorial companies of strategic sectors can steer the agile development of customised sensory systems and their deployment and validation in operational environments the project will show the potential for adaptability scalability and transferability of these photonicbased solutions by addressing a range of industrial needs in an efficient and costeffective manner namely i tumorous cells identification and blood perfusion monitoring in surgical applications iiadvanced adas vehicle collision detection systems for autonomous driving and iii precision viticulture solutions for hydric status management and prediction of pathogens infections
enabling politically sensitive climate change impact assessments for the 21st century

what are key climatedriven social risks and how might societal development moderate these risks the ssprcp scenario framework has been developed by the ipcc community to study longterm interactions between climate and society and constitutes the cornerstone of current assessments of climate change impacts the rcps represent alternative warming scenarios hazards whereas the ssps describe alternative development scenarios that define exposure and vulnerability to these hazards despite their widespread use the quantitative ssp scenarios suffer from two major shortcomings i they ignore political dimensions of vulnerability implicitly assuming that governance does not matter for climatedriven risk ii they use economic models that ignore growth disruption risks resulting in future growth projections for lowincome countries that vastly exceed past growth even in the most pessimistic scenarios the joint result of these shortcomings is a quantified scenario framework that severely underestimates future vulnerability to climate changepolimpact aspires to remedy this problem using cuttingedge methods including dynamic statistical simulations machine learning and expert elicitation the project will develop a new portfolio of empirically grounded and rigorously validated governance conflict and economic development scenario projections consistent with the ssps that for the first time enables accounting for political sources of vulnerability in climate change impact assessments the scientific merit of the novel scenario products will be demonstrated by comparing impact estimates for poverty and hunger relying on the existing ssp framework with updated results using the extended politically sensitive projections if successful polimpact will initiate a stepchange in climate change impact modeling radically improving the quality and realworld relevance of climate change impact assessments for key social risks over the 21st century
what does your blood remember the memory of hematopoietic stem cells

human organism produces over a million new blood cells each second the hematopoietic system dynamically reacts to environmental stress and forms adaptive immunity to memorize and effectively fight the encounter pathogens however based on our recent studies and preliminary results we propose that the adaptive capabilities and memory of the hematopoietic system reach far beyond the classical adaptive antigenspecific immunity we hypothesize that hematopoietic stress induces clonal expansion of lineagebiased hematopoietic stem cells hscs with epigenetic memory that faster and more effectively respond to secondary stimulation with a given stress factor we propose that lineagebiased hscs accumulating during aging provide a broad adaptive memory of the hematopoietic system that is not restricted to immune cells but includes all blood cell lineagesthe aim of our proposal is to understand how the hscstored memory is created maintained and recalled and to clarify the underlying mechanisms first we will selectively stimulate granulopoiesis erythropoiesis and thrombopoiesis to define the specificity and physiological role of hematopoietic memory provided by hscs both in vitro and in vivo second we will use singlecell level fate mapping and sequencing to investigate clonal and epigenetic mechanisms driving the hscsbased memory in mice third we will test if aging pool of human hscs consists of lineagebiased hscs that store memory of the previously encountered stimuli the humanized mice models will determine the clonal expansion of human hscs upon primary and secondary stimulation with stress factorsaltogether the expected outcome of the project is to understand how and why hematopoietic system adjusts to the environmental challenges upon aging the proposed novel concept of the hematopoietic system adaptivity may help to design strategies to train patients hematopoiesis and improve the transplantations of hscs
building an aitool to facilitate the integration accessibility and usability of heterogeneous cultural heritage data on medieval manuscripts

data on our cultural heritage hold enormous potential for europes economic growth for the construction of a more inclusive narrative of its past and for the future collective identity of its citizens the biggest obstacle to unlocking that potential is the current lack of integration and interoperability among the countless datasets describing the holdings of european heritage institutions manuscriptai will help remove that obstacle for the data on europes medieval written heritage manuscripts premodern handwritten books are a pivotal category of our heritage yet they are currently underrepresented in large research infrastructures and their catalog data locked in digital silos manuscriptai will employ machine learning algorithms to construct a model capable of facilitating the automatic integration of distinct data sources describing medieval manuscripts under a predefined set of machineunderstandable vocabulary terms the model will be made accessible through a human engagement interface and tested during a pilot in a realworld setting the project will fill two important desiderata 1 a userfriendly aitool to allow heritage professionals to convert their metadata on manuscripts to linked open data and 2 a dedicated ontology for the description of medieval manuscripts to complete cidoccrm extensions for the cultural heritage domain the project building on the achievements of the erc2018stg passim is supported by a strong consortium of domain experts heritage professionals and institutes and international research infrastructures manuscriptai will advance the eus agenda for digital heritage the tool will help democratise datafication making linked open data accessible to small heritage institutions and actively involving them in its development this integration tool for data on medieval manuscripts will be a huge step forward for the digital preservation and usability of europes unique handwritten heritage
timing festivals with archaeology and skyscape at greek temples

feast action will investigate the timing for the main celebration at greek temples the project attempts to overcome a gap in the current knowledge on the archaeology of greek sanctuaries specifically for the magna graecia by applying an interdisciplinary approach to classical archaeology that is skyscape archaeology for most of magna graecia temples there are no indication about when in the year the main celebration would have taken place there the epigraphical historical and archaeological evidence is very lacunose for the topic of festivals and calendars therefore the method here proposed interlinks archaeology with astronomy researching about the way ancient sanctuaries were built by analysing the actual orientation that the founders gave to the monument during its foundation in relation to the sky temples will be surveyed according to standard topographical methods with specific attention to the superimposition of strata and the diachrony of the phases of attendance this research will focus on a chronological horizon that goes from the 8th to the 3rd century bc a broad spectrum which allows to discern any continuity and discontinuity in the topography of the sacred in line with europe priorities for an inclusive green and sustainable development feast action fit in the modern challenge of recovering the deepintimate connection between people and the planetthe sky while tackling most pressing global challenges of identity crisis of peoplenations focusing on the festivals as moments of community memory and identity building and on heritage sites as places of belonging coherently with the new european bauhaus eu mission the fellowship at the laboratory of archaeometry at uop would open up dr cristofaro career by establishing the applicant as one of the few experts in the world in skyscape archaeology of the classical world as well as will enhance lauops international excellence in archaeometry by adding a new field of expertise
deciphering nuclear mechanics in diabetes a multiscale perspective

dilemma will orient fundamental research to fill a gap in diabetes mellitus dm biology by addressing a relevant biomedical problem in a crossdisciplinary manner with great societal and economic impact i will use a unique combination of advanced nanoscopy with protein biochemistry and cell biology clinical studies identified stiffening in vascular muscle and connecting tissues as particular mechanical fingerprints for dm in diabetic patients advanced glycation end products are clinical biomarkers of dm that correlate with increased heart failure risk but the mechanism of action bridging the mechanical alterations at molecular and tissue levels remains elusive current techniques used to inspect biochemical regulation of proteins fall short at describing the interplay between their dynamics under force and biological function an indepth multiscale characterization of the mechanical landscape in dm is a promising approach to identify new mechanical biomarkers able to advance therapeutic and diagnostic strategies dilemma will study the fundamental link between tissue stiffening and protein glycation modifications in dm at multiple scales relevant for mechanobiology i will explore the hypothesis that in diabetic patients lamin proteins are modified by glycation which disrupts nuclear mechanical homeostasis dilemma will have a strong impact in dm biology by providing new tools to understand how protein glycation and nuclear mechanics set the mechanical properties of cells and tissues in pathophysiological conditions i will receive training and education to acquire or strengthen my technical scientific and soft skills this action will impact my career representing a jump that will advance my future goal of becoming an independent young leader and establishing a unique research line at national level dilemma could improve future clinical practice and reduce economic burden on the health system