Dragon09/odtu_chatbot huggingface dataset:
synthetic and scalable data platform for medical empowered ai

aisym4med aims at developing a platform that will provide healthcare data engineers practitioners and researchers access to a trustworthy dataset system augmented with controlled data synthesis for experimentation and modeling purposes this platform will address data privacy and security by combining new anonymization techniques attributebased privacy measures and trustworthy tracking systems moreover data quality controlling measures such as unbiased data and respect to ethical norms contextaware search and humancentered design for validation purposes will also be implemented to guarantee the representativeness of the synthetic data generated indeed an augmentation module will be responsible for exploring and developing further the techniques of creating synthetic data also dynamically on demand for specific use cases furthermore this platform will exploit federated technologies for reproducing unindentifiable data from closed borders promoting the indirect assessment of a broader number of databases while respecting the privacy security and gdprcompliant guidelines the proposed framework will support the development of innovative unbiased aibased and distributed tools technologies and digital solutions for the benefit of researchers patients and providers of health services while maintaining a high level of data privacy and ethical usage aisym4med will help in the creation of more robust machine learning ml algorithms for realworld readiness while considering the most effective computation configuration furthermore a machinelearning metaengine will provide information on the quality of the generalized model by analyzing its limits and breaking points contributing to the creation of a more robust system by supplying ondemand real andor synthetic data this platform will be validated against local national and crossborder usecases for both data engineers ml developers and aid for clinicians operations
new routes for the solution nmr investigations of extra large biomolecular assemblies

the cell is a collection of dynamic molecular machines nmr spectroscopy is the method of choice to observe at atomic resolution complex conformational changes transient interactions and dynamics of proteins introduction of methyl specific labelling technology has enabled solution nmr studies of protein assemblies of several hundred kda however this strategy is mostly restricted to symmetrical and thermostable protein assemblies precluding applications to large medically relevant biological complexes the increases of linewidths and the high number of signal overlaps hamper the nmr spectra analysis of most heterooligomeric large assemblies studied at room temperature in this project we will develop two complementary concepts to significantly simplify both nmr spectra and corresponding site specific analysis we will build a multisite specific labelling method enabling observation of nmr signals only for the sites of interest in a large protein complex we will invent a combinatorial strategy to reduce the time required for sitespecific identification of each individual nmr signal from a few months to a few hours new 1hfrequencies edition schemes will be introduced to enhance significantly the nmr spectras resolution of very slow tumbling biological particles these groundbreaking nmr methods will be validated using therapeutic antibodies 150 kda ribosome 24 mda samples and will be used directly to capture the mechanisms of atpfueled human chaperonin 1 mda in complex with the aggregation prone form of huntingtin this project will provide new technological breakthroughs to push biological applications of nmr significantly beyond its current boundaries we anticipate that the simplification of the nmr analysis resulting from the new developed nmr routes will transform the solution nmr spectroscopy in a very competitive method to study large medically relevant biomolecular assemblies and molecular machines so far considered as untargetable
a europeanwide foundation to accelerate datadriven cancer research

cancer complex nature requires integration of advanced research data across national boundaries to enable progress indeed the horizon europe mission board for cancer has identified access to data knowledge and digital services accessible across the european research area through federated infrastructures as a key enabling condition for success the better we organise cancer data across europe the better and faster we can bring the fruits of new biological and technical innovations to the benefit of eu citizenspatientseosc4cancer will make cancer genomics imaging medical clinical environmental and socioeconomics data accessible using and enhancing existing federated and interoperable systems for securely identifying sharing processing and reusing fair cancer data across borders and it will offer them via communitydriven analysis environmentseosc4cancer provision of well curated datasets will be essential for advanced analytics and computational methods to be reproducible and robust including machine learning and artificial intelligence approaches eosc4cancer usecases will cover the patient journey from cancer prevention to diagnosis to treatment laying the foundation of data trajectories and workflows for future cancer mission projectseosc4cancer brings together a comprehensive consortium of cancer research centres research infrastructures leading research groups hospitals and supercomputing centres from 14 european countries to make the developments sustainable these will be offered as part of the research infrastructures partners services portfolio in connection with the eosc ecosystem and to serve the european cancer mission which will be possible via the engagement with large international coalitions eg icgcargo ga4gh 1mgb1mg cancer core europe european cancer information system european network of cancer registries innovative partnership for action against cancer joint action and patientssurvivors associations
a catalyst for european cloud services in the era of data spaces highperformance and edge computing

nous will develop the architecture of a european cloud service that allows computational and data storage resources to be used from edge devices as well as supercomputers through the hpc network and quantum computers nous will be an infrastructureasaservice iaasplatformasaservice paas cloud provider harnessing edge computing and decentralisation paradigms to incorporate a wide array of devices and machines in its computational flow to provide leaps in europes capability to process vast amounts of datathe pipeline of the nous in the project will include three types of components i computational components that are responsible for executing computations ii edge components that are responsible for communicating with edge devices such as iot sensors actuators devices iii data storage components that are responsible for data storage and storage management components are researched individually expecting to yield breakthroughs and jointly to create the architecture and cloudlevel services such as syndication with other platforms and virtual labs the project has defined 4 usecases that will allow the testing of the developed technologies in realworld scenarios that industry leaders facethe nous architecture will be made open source to allow the capitalization by companies and organisations furthermore a set of workshops and collaboration activities is envisioned with data spaces support centre gaiax fiware and eosc powered by a strong consortium of 21 partners from 11 european countries
enabling multi messenger astronomy with a lowlatency lisa data pipeline

in recent years following the first detection of gravitational waves gws we have witnessed the birth of gw astronomy so far there have been more than 50 events recorded providing us with invaluable information about the nature of the merging binaries an exceptional case is the event gw170817 a neutron star merger which was observed with both gravitational and electromagnetic em waves from a single event alone by combining both ways of observation we were able to vastly improve our understanding of such cataclysmic events in the near future in particular in the early 2030s the esa laser interferometer space antenna lisa is going to be launched lisa is a spaceborne gravitationalwave observatory that in contrast to the present groundbased detectors is going to be signaldominated the lisa data will give us the unique opportunity to observe the merger of supermassive black hole binary systems which in combination with the em observations will enable us to push our knowledge boundaries in astronomy astrophysics and cosmology with emilia we aspire to enable multimessenger astronomy with lisa by developing a lowlatency data analysis pipeline based on machine learning techniques our proposed methodology will take into account the source confusion problem of lisa where monochromatic signals and noise artefacts are going to be classified as such and subtracted from the data we will then apply a fast semianalytical algorithm on the residual data in order to swiftly estimate the sky position and time of coalescence of chirping signals such a scheme will enable the synergy of lisa and optical observatories on earth and in space a prime example is that of the lisaathena missions synergy which would probe the existence of electromagnetic counterpart of massive black hole mergers and extreme mass ratio inspirals or phenomena like xray flares disk rebrightening and relativistic jet formations
coevolutionary consequences of biodiversity change

anthropogenic global change is reshaping planetary biodiversity patterns at an accelerating rate the diverse and nonlinear ways in which species respond to global change can lead to nonobvious alterations in the structure and intensity of species interactions however the extent to which coevolutionary dynamics are disrupted under biodiversity change remains largely unknown interspecific interactions are the key determinants of biodiversity and ecosystem functioning and their modifications can play a critical role in modulating global change effects on ecosystems in this proposal i focus on plantmicrobe associations to uncover how temporal change in plant communities affects interactions with mutualistic and pathogenic microbes both above and belowground by coupling analysis of plant biodiversity timeseries data with contemporary sampling of microbial communities experiments and molecular assays this work will demonstrate how both ecological and coevolutionary dynamics of species interactions are responding to ongoing environmental change specifically i will answer the following key questions 1 how has forest understory vegetation changed in response to changing climate and habitat use over 35 years 2 how does temporal plant community change affect plantassociated microbial communities 3 how have the intensity and efficacy of mutualistic and pathogenic hostmicrobe interactions changed 4 how is coevolutionary selection measured as local adaptation altered following biodiversity change 5 how do ecological and coevolutionary change underpinning species interactions scale up to ecosystem functioning in plantmicrobe communities the obtained results will reveal how vulnerable both pathogenic and essential mutualistic associations are to global anthropogenic change jointly the proposed research provides synthesis of the relative importance of ecological evolutionary and environmental dimensions of biodiversity change
what makes people targets a multiactor study of how ethnic discrimination is perceived tackled and avoided

despite progressive antidiscrimination legislation and the popularity of diversity policies touted as the key to a culturally diverse workplace discrimination of ethnic minorities in the labor market is remarkably persistent and pervasive targets integrates literature from sociology social psychology organization and sociolegal studies into a novel multiactor and dynamic theoretical framework to examine what makes people targets of ethnic discrimination both conceptually and empirically the key contribution of our approach is that we define and operationalize discrimination claims as inherently relational we test the core proposition that relational claimsmaking is the key mechanism through which discrimination is perceived legitimated or contested by multiple actors we develop and test this theory at two levels of analysis at the macro level we map how structures and practices such as antidiscrimination laws and diversity management policies can confer or deny legitimacy to discrimination claims in the workplace and courtroom these structures may create an illusion of fairness that reproduce durable inequalities in the distribution of organizational resources such as access to jobs and career opportunities we then zoom in on the microfoundations of the claimsmaking process focusing on its relational and dynamic nature respectively first using an innovative research design we pioneer the use of linked multiactor factorial survey experiments to capture the discrimination attributions made by multiple actors targets perpetrators allies and bystanders simultaneously second we collect realtime longitudinal data on the job search strategies that ethnic minorities adopt to avoid becoming targets our dynamic approach improves on existing accounts that all too often treat them as passive labor market agents and contributes to theory development on how supplyside behavior can counteract labor market inequalities
brain remodeling during sexual differentiation and water to air transition in a hemimetabolous insect

the evolution of the brain deeply transformed the animal kingdom leading to extraordinary animal diversity brain evolution and plasticity were necessary for many major evolutionary changes eg terrestrialization of tetrapods evolution of sociality as well as developmental changes within an organisms life span eg metamorphosis in this project i propose to study the brain remodeling in the mayfly cloeon dipterum whose biology has the advantage of offering us multiple perspectives and insights on brain plasticity i evolutionary perspective mayflies are part of the insect lineage in which wings originated this project will shed light on brain processes controlling wings and flightii developmental perspective mayflies are hemimetabolous insects that present a gradual metamorphosis that nonetheless accompanies a major lifestyle transition from an aquatic juvenile form to an aerial winged adultiii sexual dimorphism the species c dipterum displays significant sexual dimorphism as males have an extra pair of eyes turbanate eyes whose sensory signals need to be processed by the brainusing a combination of single cell transcriptomics scrnaseq in situ hybridisations and drug treatments this project will yield a gene expression atlas of the brain of c dipterum separately for both male and female individuals across multiple points of its life cycle two nymphal stages and two adult stages this atlas will give us information on the brain processes necessary for the water to land evolutionary transition those associated with flight and the acquisition of wings and those underlying the appearance of a new sensory organ the turbanate eyes in males with the data conveniently navigable along annotated chromosomes this study will also establish c dipterum as a model for studying hemimetabolous insect brains and provide a reference for future studies
at the crossroads of history industry and technology olive oil production in the eastern mediterranean in the late nineteenth century 18391914

the last twenty years have witnessed an increase in the production of olive oil the last twenty years have witnessed an increase in the production of olive oil in the mediterranean as a consequence of the campaigns of the international olive oil council the proposed research aims at bringing forth an original contribution to this dynamic field by adopting a comparative perspective that concentrates on the history of olive oil production in several most important olive and olive oil producing regions of the eastern mediterranean the analysis will focus on the factories and mills built in the late nineteenth century in the islands of crete and mytilini in greece and the areas of ayvalık edremit and izmir in turkey the historical examination of these factories aims to go beyond the worldsystems theory that focuses on the industrial decline in this region with the advent of european industrial products instead this research proposes to evaluate the modalities and limits of incorporation into the world economy by concentrating on the production of olive oil in terms of adaptability complementarity and rivalry within the economic structure of the period the interdisciplinary approach at the crossroads of history economy and technology will open the way for a more accurate evaluation of the role of industrial and technological developments in the economic life of these regions and their influence on the social life the comparative dimension integrating different olive oil producing regions of the eastern mediterranean will make possible an evaluation of the positions of these regions within the world economic system and the ottoman central governments policies to control the economy of these regions thus by focusing on the olive oil production in eastern mediterranean the proposed study aims to bring an original contribution by highlighting the growing role of the inner dynamics of the eastern mediterranean in economic transformation
nextgeneration membrane technologies for sustainable exploitation of seawater brine resources transition towards a circular blue industry

the mscadn programme exbrinernextgeneration membrane technologies for sustainable exploitation of seawater brine resources transition towards a circular blue industry is designed to train a new generation of doctoral candidates in membrane engineering by means of a synergic crossfertilization of complementary competences centered on the development of innovative membrane technologies at waterenergyresources nexus for a sustainable valorization of desalination wastes the doctoral programme is implemented through an intersectoral and multidisciplinary network composed by 8 universities 3 research centers and 4 industrial companies two of them are smes from 8 european countries all with recognized excellence in the field of membrane technology based on more than 10 years of joint experience in erasmus mundus joint doctoratemaster in membrane engineering the consortium shares a common infrastructural platform with worldwide recognized excellence for implementing highly competitive and jointly supervised training and research activities those activities oriented towards societal needs of strategic relevance for the european union cover a large spectrum of marketrelevant applications such as sustainable desalination for water supply exploring alternative mineral sources for a secure supply of critical raw materials lowcarbon power technologies based on salinity gradient energy
synthetic life from the bottom up

life is a mystery with questions about how it emerged and if it exists elsewhere synthetic life can bring us closer to answers to these millenniaold questions it is also extremely powerful to evolve new materials and catalysts similar to directed evolution with bacteria it begs the question can we synthesize lifesynlife aims to synthesize life from manmade molecules following nasas definitionlife is a selfsustaining system capable of darwinian evolutionchemically fueled droplets will be the selfsustaining compartments these selfdividing droplets compete for fuel ie food to thrive and will decay without fuel we will develop selfreplicating molecules that can mutate and partition inside of these droplets so the droplets obtain an identity for example a population of droplets with replicator a differs from a population with replicator b moreover these replicators affect the droplets phenotype for example by helping division or by offering longevity to date the combination of selfsustaining droplets and replicators has never been achievedfinally populations of droplets compete with each other in fuelingstarvation experiments it is expected that from time to time a droplet mutates into a bettersuited one and passes this information on to the next generation if we reach this ambitious goal we have produced a synthetic system capable of darwinian evolutionthe results will mark a massive step forwards in our understanding of life it also sheds new light on the molecular mechanisms that may have played a role in the origin of life it will have implications for the biophysics community too as our findings help understand how additives to droplets affect their properties just like in membraneless organelles but most excitingly synlife will change how we think of material design by introducing darwinian evolution as a manufacturing tool
navigating the next normal innovative approaches to enhancing youths educationemployment transitions in postcovid19 europe nextup

nextup aims to explore and forecast the longterm impacts of the covid19 crisis on the transition of youth from schooleducation to workemployment ytstw focusing on cocreating evidenceinformed futureoriented policies and programmes alongside innovative stakeholder engagement the project emphasises inclusivity particularly supporting disadvantaged groups for equitable job access to achieve the ambitious goal our interdisciplinary and multiprofile consortium with prominent academic and ngo partners from nine eu countries enhanced with international advisory board applies interdisciplinary approaches our conceptual lens integrates the quadruple helix model for social innovation with concepts of agency between employability and employerability intersectionality and policy learning to enhance theoretical understanding it focuses on the nexus between youth employment policies stakeholder perceptions and youth agency in educational and career choices methodologically we innovatively combine the living lab approach machine learning psychometric surveys systematic literature review longitudinal and focus group interviews statistical methods agentbased modelling and policy design triangulating insights from various methods nextup fosters a social innovation model to facilitate effective interactions among diverse stakeholders including policymakers educators employers and youth organisations to cocreate and implement effective strategies for ytstw informed policies and sustained social innovations through nextup are expected to lead to responsive and resilient educational and employment systems in europe innovative educational programmes and enhanced support for young people entering the workforce this will significantly impact the formation of social innovation ecosystems to address youth employment challenges in the postpandemic era and promote social and economic inclusion across europe