Dragon09/odtu_chatbot huggingface dataset:
development of circular optimised material solutions for wind turbine blades and support structures

circwind will develop and validate innovative technologies for current and future wind turbines wt to enhance reliability and lifetime performance operability and maintainability as well as to find costefficient pathways towards complete circularity in a context where a growing number of wt are reaching their eol circwinds most relevant results are a prototype fibrereinforced polymer frp material for blades with improved damagetolerance and fatigue life using a new multiscale modelling tool and simulation framework a circular low carbon concrete material for offshore floating wt based on a new geopolymer binder and circular lightweight aggregates clwa new virtual replicabased constitutive models and simulation tools for the frp material and geopolymer concrete coupled with monitoring technologies allowing to simulate and predict failure and lifetime and enabling future digital twinning for blade and substructure components integrated sustainability analysis addressing social economic and environmental aspects as well as improved circularitycircwind will develop its technologies to trl5 building prototypes and validating them in relevant environmental conditions representative components of tlp floater and blade have been chosen made of geopolymer concrete and frp materials respectively these innovations will allow future wt to include circular and costefficient materials installed in critical wt components at operating windfarms ensuring feasibility sustainability acceptability and high replicability besides new simulation tools virtual replicas dt to improve om costscircwind consortium has a good balance of academic and industrial partners which allows the projects developments to be welloriented towards real market needs that in addition to the strong dissemination and exploitation plan proposed will maximise future impacts clustering with relevant offshore wind stakeholders
exploring opportunities for developing a risk and resilience climate service based on big data and machine learning

despite the urgent need for adopting multihazard risk approaches and for the implementation of resilienceenhancing measures inthe eu and at the global scale several challenges for effective implementation of risk assessment and adaptation responses remainin particular the assessment of climate hazards risk and resilience is often based on static models which lose the appreciation of thetemporal and spatial dynamics and complex feedback responses within the system as a consequence the information providedoften fails to inform decisionmakers and other endusers with the correct data to be actioned through timely responses to emergingrisks barriers to development and implementation of novel approaches and models include the availability cost and reliability ofinput datasets the computational times and costs the lack of consideration of the combined effect of multiple hazards the spatialand temporal changes in the exposure of assets and services and the complex adaptive responses of government society and theenvironment to emerging risks expedite aims at exploring new pathways to reduce and remove these barriers by exploring testingand deploying machine learning and data science techniques and by developing and testing a climate service prototype tailored toendusers these may include institutional clients such as regions the private sector or individual consumers the research projectwhich will last 24 months will be mainly conducted at cmcccafoscari in venice italy under the supervision of prof andreacritto with targeted secondments for advanced training in machine learning and data science at malga university of genoa andfor climate service design and prototyping at gecosistema srl a specialised rd consulting lab a targeted dissemination andcommunication plan will allow expedite to share the research activities outcomes and outputs with researchers policymakers theprivate sector and the general public
molecular engineering of synthetic motile systems towards biological environments

the goal of this erc is to develop synthetic motile systems with cilialike and flagellalike movement based on supramolecular assemblies of controlled shape size and morphology with this strategy we are addressing the great challenge of developing synthetic systems with the ability to move sense adapt at the cellular tissue and systemic level the systems developed will then allow us to study the effect of propulsive movement on cellular uptake targeted transport external guidance and sensing and thus define the active delivery potential of these systems assembly from building blocks with preprogrammed functionality able to transfer complexity to their structure and behaviour is the core principle guiding nature and a tool that we have harnessed in our research besides their ability to move directionally these complex bioinspired systems are programmed to sense changes in the environment and consequently to adapt to the changes by regulating their speed shape and behaviour since they are by design catalytically active they can also change the chemical composition of their environment as well as dynamically regulate the chemical signaling pathways in their interaction with other species the study of the primary biomimetic complex emergent functions such as motility adaptivity regulated and feedback output and interactioncommunication in biological environments will be the goals of this erc program and will concentrate on 3 work packages built from 5 interconnecting projects organic inorganic catalysts and biocatalysts based on multiple enzymes will be incorporated within asymmetric soft selfassembled structures to generate smart autonomous systems able to harvest different sources of energy from the surrounding environment and generate a feedback response the final output of the program will be to develop an understanding of the directional movement of engineered synthetic motile systems studied from cellular levels to complex environments
nova institute for medical systems biology

the rise of chronic diseases is shaping health policy priorities worldwide as the population ages these conditions affect increasing portions of society and are more difficult to manage causing suffering in patients and their families for many years such increasing prevalence is a threat to the sustainability of healthcare systems thus an increasing focus has been put on disease prevention and awareness as well as on precision medicine this project will create a new centre of excellence nova institute for medical systems biology nimsb which will use the most advanced cell analytics and experimental in vitro systems combined with computational approaches to understand and fight chronic diseases the core of the project will be the integration of multiomics data from single cells from patient biopsies and derived organoids bioinformatics and artificial intelligence cell and molecular biology and relevant animal model studies to develop quantitative models that can inform on mechanisms of disease progression researchers and clinicians will collaborate to use this knowledge to implement novel precision medicine solutions aiming to intercept diseases before symptoms develop and also by improving diagnosis disease course prediction and response to treatment nimsb will contribute to clinical practice improvement not only with technology but also by training the next generation of researchers and medical doctors in precision interceptive medicine and digitaltransformation technologies nova medical school of nova university is in a unique position to coordinate the project due to its current drive for restructuring established reputation as a top medical school in portugal and research focus on chronic diseases the max delbrck center for molecular medicine is the best possible advanced partner as it is a world leader in this research topic and has recently created the berlin institute for medical systems biology which is a model for nimsb
uncovering the molecular mechanisms of oligodendrocyte plasticity in cognitive aging

myelin an oligodendrocyte membrane spirally wrapped around axons has only recently been appreciated to be a plastic structure which constantly remodels in response to experience myelin plasticity is based on proliferation and maturation of oligodendrocyte precursor cells opcs to form new myelinating oligodendrocytes oligodendrogenesis in conjunction with remodelling of myelin that is already established the cellular and molecular mechanisms governing myelin plasticity and how it contributes to agingrelated cognitive decline remain mostly unknown whereas cognitive aging is often attributed to neuronal vulnerability here i propose that early oligodendrocyte dysfunction is a key driver of cognitive decline i recently found that oligodendrocytes in the aging brain react to rejuvenating cues arising from young cerebrospinal fluid csf with substantial effects on their cellular function and memory consolidation mechanistically i identified the transcription factor serum response factor srf to be necessary in oligodendrocytes for developmental myelination iram et al biorxiv and showed that srf is downregulated with age and induced by young csf iram et al nature strikingly oligodendrocytes remain susceptible to microenvironmental cues even at late stages of aging positioning them as promising targets for therapeutic interventionscombining genetic optogenetic and transcriptomic tools with cuttingedge whole proteome metabolic labelling i will pursue three complementary objectives 1 uncover the transcriptional regulation of oligodendrocyte plasticity and aging 2 elucidate the molecular basis of failed oligodendrogenesis in aged mice 3 define mechanisms underlying decline in myelin plasticity with age by nascent proteome tagging completion of this work will have a profound impact on our understanding of how oligodendrocytes age and provide novel targets for brain rejuvenation through improving myelin health and integrity
proteinrna interaction stabilization using molecular glues

proteinrna interactions play a key role in cell biology and there are limited tools for specific modulation in this project we will look for molecules that act as glues by stabilizing the interaction between an rnabinding protein and a specific rna sequence which we call priglues the aims are to explore key concepts of how to develop screening methods to identify such priglues and to determine what type of chemical matter is suitable for this approach these novel molecular glues will be evaluated for their rna selectivity and the mode of interaction stabilization the methods we will develop to identify priglues can be applied to any proteinrna interaction and we will use them to modulate the process of mrna splicing to prove the concept the glues will be applied to stabilize mutant splicing factor rna pairs to recover lost affinity and correct diseasecausing splicing outcomes priglues will be applicable as novel tools for rna biology studies but can eventually also lead to therapeutics with an unexplored mode of action
veles excellence hub strengthening the southeast europe smart health regional excellence and boosting the innovation potential

smart health is eu strategic value chain that contributes to growth jobs and competitiveness health data is the main enabler for the value chain but it also depends on cutting edge technologies ai cloud computing iot to integrate the dispersed knowledge and support innovative healthcare solutions and services ec sets the creation of a european health data space as a main priority to promote better exchange and access to health dataon a regional level the ris3 strategies of the involved widening countries bulgaria romania greece and cyprus emphasize the need for based on big data ai and iot digitalized healthcare to enable personalized medicine informed decisions and improved disease prediction ris3 strategies also outline the need for more funding for ri policy coherence and development of territorially join innovation strategies a cross country coordinated approach is needed to align the separate endeavours towards an excellent southeast europe smart health innovation ecosystem enabled by a regional smart health data spaceveles raises the level of innovation excellence in the southeast eu through creating a sustainable placebased innovation ecosystem enabled by regional smart health data space including novel transformational framework ri and investment strategy and action plan for research development and adoption of innovative and secure digital solutions that underpin the delivery of sustainable healthcare services the regional smart health data space will be demonstrated through the design of 4 interrelated pilots on cancer treatment greece personalisedprecision medicine of alzheimer bulgaria cerebral tumours romania and dementia cyprus the aim of veles is to foster health data sharing regional and national strategies to secure improved clinical practice to preserve patients privacy and to empower citizens smart healthcare through access to innovative cyber secure and data driven digital health services
measuring irregular migration and related policies

targeted policy responses for irregular migration require better knowledge about the characteristics of the irregular migrant population and dynamics of irregular migration as well as about the effects of policy measures yet quantitative data relating to irregular migration are scarce often outdated and contested the inadequecy of current data makes it challenging for stakeholders to develop and monitor policies how do legal frameworks in different countries define migrant irregularity what are the characteristics of irregular migrants in terms of age gender nationality or other socioeconomic variables how can the effects of policy measures such as regularisation be assessed mirrem adresses the challenge of insufficent knowledge about irregular migration and regularisation in europe by actively involving relevant stakeholders in every stage of this project as cocreators of its results and as stakeholders to its mission in a rigorous comparative and multilevel study we will assess the policies data needs and estimates that define migrant irregularity in 11 eu member states the uk canada the usa and five transit countries using several coordinated pilots we will develop new and innovative methods for measuring irregular migration and regularisation scenarios and we will explore if and how these instruments can be transferred or scaled up to other socioeconomic or institutional conditionsbased on these insights we will develop two public databases a a database with estimates on irregular migrant stocks and b a database on irregular migration flows that will also include data on regularisations together with the expert groups we will synthesize our findings into a handbook on data on irregular migration and a handbook on regularisation that will support evidencedbased and targeted policymaking concerning irregular migration finally we will develop training resources for policymakers practitioners journalists and earlycareer researchers
accelerating relational databases with real memristive processinginmemory

in the contemporary digital era relational databases play a pivotal role in business applications facilitating the management and analysis of intricate data sets in diverse sectors including healthcare finance and social media platforms these databases comprise relations represented as sets of records and attributes allowing for detailed data scrutiny and insightful business decisionmaking however the prevalent model of data analysis is beleaguered by lengthy execution times and considerable energy consumption due to the separation of data processing and storage necessitating hefty computational investmentsaddressing this we propose an innovative approach leveraging processinginmemory pim techniques specifically bulkbitwise pim to hasten analytical processing in relational databases grounded in emergent nonvolatile memristive memory technologies this method capitalizes on memory cell arrays for concurrent data processing and result storage markedly diminishing data movement and consequently time and energy expenditure our endeavor is to craft the memristive memory processing unit mmpu originally developed during the pis erc stg realpimsystem project adept at accelerating relational database analysis promising to deliver a computing system that is tenfold faster and a hundred times more energyefficient at a fraction of the current cost revolutionizing data analysis and offering substantial savings in both time and financial resources
cobenefits and synergies between biodiversity conservation poverty alleviation and climate change mitigation from a socialecological systems perspective

cobiopovcli addresses the question of how to conserve biodiversity alleviate poverty and mitigate climate change simultaneously which are interrelated challenges that threaten human and environmental wellbeing the importance of this topic is highlighted by the current context of the global covid19 pandemic and the russiaukraine war which have exacerbated these problems and their impacts on human and environmental wellbeing the main gaps in this topic are 1 lack of comprehensive data especially on the dynamics of socioecological systems 2 lack of integrated knowledge and 3 lack of holistic approaches that consider cobenefits and synergies cobiopovcli aims to overcome the limitations and gaps in the current stateoftheart by developing an integrated spatial planning approach that can achieve winwin synergies between biodiversity conservation poverty alleviation and climate change mitigation from a socialecological systems perspective cobiopovcli will use literature models remote sensing data and other data sources to construct and apply the spatial planning approach based on case studies spatial analysis and scenario simulation cobiopovcli will generate new knowledge data and solutions that are conceptually novel scientifically rigorous and policyrelevant it will enhance our understanding of the multiple values of biodiversity and its contributions to human wellbeing under changing climatic conditions it will provide evidencebased recommendations and best practices for promoting more integrated and sustainable approaches that benefit both people and the planet cobiopovcli will also enhance europes scientific and technical capacity and excellence in the field of cobenefits and synergies between biodiversity conservation poverty alleviation and climate change mitigation as well as contribute to europes global leadership and influence in addressing these interlinked challenges
satellitebased change detection and predictive monitoring of infrastructure grids based on high resolution data

liveeo will offer a holistic monitoring service for infrastructure networks based on satellite data and machine learning algorithms to identify external threats to the grid and predict future impacts by adding time series analytics to our services the service will enable rapid change detection eg storm monitoring to quickly assess the location and extent of damage and slow change detection to facilitate the prediction of potential risks we will make use of optical and radar data to offer services in real time regardless of weather the solution requires the development of aibased change detection algorithms that evaluate data at different points in time ie timeseries and are able to detect patterns and abnormalities in the data with high precision to do this automatically the development of an automated process chain able to transform data into actionable insights for our customers is part of the solution insights will be made available via mobile and web apps
selective alkylation of complex molecules in flow

developing new pharmaceuticallyactive molecules for the treatment of diseases that compromise the health and wellbeing of society is an essential but tedious process with rising costs partially due to the arduous chemical synthesis of complex drug candidates recently innovations in organic chemistry have streamlined the access to vast libraries of drugs by applying novel methodologies such as latestage functionalization of ch bonds however one of the major challenges of editing biologicallyactive chemical structures is the development of processes that are compatible with diverse functional groups and functionalize one single position la carte in an efficient and predictable mannerselectflow presents a multidisciplinary project that lies in the intersection of synthetic photoredox catalysis with microfluidic technologies with the objective of delivering a selective sustainable and predictable methodology for the modification of biologicallyactive molecules using light alkanes as raw materials this will require the accomplishment of three specific objectives 1 development of a chemo and regioselective synthetic methodology for the edition of nitrogencontaining aromatic heterocycles 2 translation of the developed photocatalytic system into a microflowbased setup to enable the use of gaseous reagents in a milder and scalable fashion 3 understanding the mechanistic intricacies of the developed methodology in order to predict unexplored similar transformations overall this proposal directly tackles one of the most important challenges for the pharmaceutical industry the rapid and costeffective production of innovative drugs by delivering a sustainable valorisation of greenhouse gases such as methane it is expected that this innovative approach will be of high scientific technological and societal impact ultimately reinforcing the already european competitiveness in the production of lifesaving drugs
regulation of early colorectal cancer tumorigenesis by nutrient signalling of intestinal stem cells and their tissue environment

colorectal cancer crc is the second most common cancer and nutrition influences its prevalence crc originates from intestinal stem cells iscs and is initiated by specific genetic alterations which influence cell growth proliferation and fate how nutrient signalling within the mutated iscs and the surrounding tissue environment influences the early steps of crc tumorigenesis and whether genetically distinct tumour types react differently to nutrition remains poorly understood the host laboratory has recently discovered a mechanism that couples nutrientdependent control of isc size to cell fate regulation as distinct tumorigenic genotypes display different fate profiles i hypothesise that nutrientdependent control of isc size differentially modulates phenotypes of crcassociated gene variants to test this i will utilise the drosophila midgut model as well as the fully defined drosophila diet to systematically uncover the nutrient vulnerabilities of several iscderived tumorigenic genotypes as my preliminary data implicates the role of nutrient signalling in the tissue environment i will develop a new dual gene expression tool enabling simultaneous genetically control of the tumour and the neighbouring tissue i will combine transcriptomics metabolomics and organwide imaging with quantitative image analysis to mechanistically address how changes in nutrient signalling and metabolism of oncogenic and surrounding wildtype cells influence tumour initiation to test the conservation of the main findings in drosophila i will utilise the crc models of mouse intestinal organoids collectively this project will address how nutrient regulation of iscs and their tissue environment will affect the initial events of crc tumorigenesis