Dragon09/odtu_chatbot huggingface dataset:
investigating the torc1 signaling pathway in the moss physcomitrella and its application for enhanced production of valuable pharmaceutical compounds

the target of rapamycin complex 1 torc1 signaling pathway involved in the coordination of cell growth and metabolism is highly conserved among eukaryotes including seed plants and algae studies have shown that its activity could be tuned to enhance plant growth yield and resistance to stress or accumulation of triacylglycerol in algae thus indicating that its power could be harnessed to improve diverse plant biotechnological applications in this project i aim to characterize the torc1 pathway for the first time in the moss physcomitrella physcomitrium patens a model organism of nonseed plants using protonema cells as a study system this is linked to another important goal to test whether the activity of torc1 can be modulated in order to improve mossbased biotechnological applications besides the identification of a functional torc1 in physcomitrella i will develop transgenic lines with hyperactive torc1 signaling phenotypically and metabolically analyzing them and in collaboration with mosspiration biotech test if these lines could produce more human recombinant complement proteins or the drug artemisinin used to treat patients with complement disorders or malaria respectively enhancing this yield will result in a stable sustainable and ecofriendly production platform it would also lead to a reduced price for instance of artemisininbased treatments thus allowing poor communities most affected by malaria to contain the disease should this project be successful it will open the door to improve the yield of diverse wellestablished products from physcomitrella valuable metabolites active pharmaceutical ingredients and biopharmaceutical proteins
realworld implementation deployment and validation of early detection tools and lifestyle enhancement

alzheimers disease ad the main cause of dementia is one of the major global health challenges of our time this disabling disorder affects 55 million people worldwide with costs above 13 trillion with 67 million people at risk for ad dementia prodromal and preclinical ad in europe alone it is a major unmet public health need with increasing burden for european economies healthcare and social care systems and a concern for the future yet prevention and early detection strategies have been lacking recent advances in diseasemodifying therapies and the huge potential benefits of preventive multidomain interventions based on modifiable lifestyle and vascular factors prevention potential 40 provide new opportunities new developments in bloodbased biomarkers bbms and digital cognitive tests enable broader costeffective testing the adriddle platform is envisioned to revolutionize how ad is detected and diagnosed prevented and treated across healthcare settings hcs adriddle centres around a toolbox platform concept providing a series of validated tools at each key step to enable hcs and practitioners to deploy enhanced ad management across diverse patient populations the adriddle toolbox platform will include a community outreach tools to increase awarenessactivation on ad prevention b combination of easily available clinically validated biomarkers digital cognitive tools and bbms for early detection of ad dementia risk c validated algorithms supporting clinical decisions to identify people who can benefit from specific preventive therapies pharma andor nonpharma using precision prevention approach the toolbox usability and efficacy with be tested in realworld settings we expect that the adriddle modular and flexible design can facilitate broad uptake from different healthcare systems and its tools can advance research to develop costeffective preventive therapies for ad with scalability for other dementias
eu public infrastructure for the european digital twin ocean

the europethe european green deal recognises seas oceans and environment are a source of natural and economic wealth that we must preserve the mission restore our ocean and waters aims at contributing to these goals with measurable targets the un decade of ocean science for sustainable development is promoting to unlocking science for better decision making data and information are key enablers to these missions and the development of an eu digital twin of the ocean edito is a key priority for europeeditoinfra is to build the eu public infrastructure backbone for the first european dto by upgrading combining and integrating key service components the copernicus marine service cms and the european marine observation and data network emodnet into a single digital framework that can be scaled up to an overarching knowledge system integrated with the destine initiative it will provide the foundation for the development of the eu dto initiative hosting the deployment of future dto projects like iliad of new generation of ocean models underlying models project and of the mission lighthouses projectsled by mercator ocean international moi as the entrusted entity leading the cms g7 fsoi secretary geo blue planet ocean prediction dcc of the un decade of ocean science and by flanders marine institute vliz as manager of emodnet central portal in an agreement between dg mare and the flanders government and representing the different emodnet implementing partners editoinfra will provide public access and use to the widest possible range of open ocean observation datasets data products hosting for new sources of data modelling capacities on cloud gpu or hpc and a coworking environment with the objective of making ocean knowledge available to government private sector citizens and scientific experts alike enabling them to become partners in knowledge generation so that they assemble their own twins for the pursuit of a healthy and productive ocean
the ithymus wielding the potential of gene therapy cell therapy and induced pluripotent stem cells for the regeneration of the thymus and the adaptive immune system

each year 250 babies are born without a thymus these babies have a life expectancy of 23 years the only cure is transplantation of thymus tissue but this has a 30 mortality rate and costs almost 25m we developed ithymus a revolutionary cure based on the patients own cells leveraging innovative gene therapy to generate thymus organoids that can be implanted minimally invasively in the patient fig 1 we have already shown this works in functional proof of concept in vivo with this eic accelerator we will finalise development to enter the clinic for a phase iii trial to enter the eu market with a pharma partner by 2028 after rapid market entry with odd for complete digeorge syndrome we will leverage this clinical success and our first revenues to develop ithymus for unmet needs of hundreds of thousands of other patients starting with aml patients who have lost thymus function after highdose chemotherapy for stem cell transplantation
biobased hydrogels by click chemistry for cartilage tissue engineering

cartilage injury afflicts over a million patients annually in europe and it is a serious problem due to europes ageing population hydrogels are promising materials for cartilage tissue regeneration in case they are designed accordingly the use of synthetic materials suffer from biocompatibility and toxicity problems while natural materials can have drawbacks such as low mechanical strength limited types insufficient integration with host tissues and easy contamination with bacteria due to high biocompatibility clickbiogel aims to fill this gap through fabrication of biobased hydrogels for cartilage tissue regeneration using a ternary material system composed of collagen hyaluronic acid and kcarrageenan to advantage from their synergetic effects and the click chemistry concept particularly thiolene and dielsalder reactions for the selective and high yield chemical crosslinking of the hydrogels under mild reaction conditions chitin nanofibrils will be dispersed in the hydrogel precursor for enhancing the mechanical properties as well as antibacterial and bioadhesive characteristics while rgd peptide will be attached on the hydrogels for celladhesiveness the production of the hydrogels will mainly be in three categories as photocrosslinked hydrogels 3d printed hydrogels and lightfree injectable hydrogels which will allow the tunability according to the needs in vitro cell viability cytotoxicity and chondrogenesis performance of the hydrogels will be evaluated with the support of my supervisor prof sangermano his infrastructure at department of applied science and technology as well as the interdepartmental biomedical research centre and the multidisciplinary additive manufacturing research centre at politecnico di torino the fellowship will train me on hydrogel synthesis photocuring 3dprinting and biological analysis and act as a pilot for my own erc starting grant to be an independent researcher
the impact of sa signaling in cwi impairment and downstream factors

the plant cell wall cw is a crucial defense layer surrounding plants cells cw composition and structure are directly associated with environmental stresses and biomass production cell wall integrity cwi maintenance is a crucial key player responsible for monitoring and maintaining plant cw composition and structure under biotic and abiotic stresses thus the new knowledge and understanding of the cwi machinery have enormous potential to increase crop production and develop new highly adaptive crop species the cwi maintenance mechanism involves receptorlike kinases and ion channels in the plasma membrane which perceive signals arising from cwi impairment and modulate downstream signaling cascades leading to changes in cytoskeleton organization phytohormone production aba sa ja and ethylene gene expression and cell wall compositionstructure i will use my expertise in signaling transduction pathways and combine them with the knowledge and skill used host lab on cwi signaling pathways to determine the mechanism regulating sa responses and downstream factors of plant cells in cwi impairments therefore my project aims to discover transcriptional regulators mediating the response to impairment of primary cell wall integrity and characterize signal transduction elements controlling sa induction and modulating sacontrolled responses i will share the results with the scientific community and the public using social networks attending international conferences and publish research outcomes in a highimpact scientific journal in an openaccess format this project will form the foundation of my future career as a researcher and the project results can be used to increase crop production and develop new highly adaptive crop species
knowledge hub to leverage existing initiatives and projects to foster the adoption of circular economy in cities and regions in europe

ccri knowledge hub aims at increasing the impact of the existing circular cities and regions initiative ccri by enlarging the network of involved stakeholders bringing together the knowledge and critical mass already developed around circular economy implementation and building upon the ce stakeholder platform the goal is to promote and make the circular economy concept a reality in eu cities and regions in particular in those in the early stage of circular economy transition to reach its objective ccri knowledge hub will leverage existing initiatives and projects to foster the adoption of circular economy in eu cities and regions ccri knowledge hubs formula is based on three principles a easy access to systematized workable knowledge b tailored mentoring according to users needs and c effective awarenessraising to make the circular economy more desirable that build upon four main dimensions i public engagement ii innovation and technology iii business models and financial support and iv impact evaluation ccri knowledge hub gathers a multidisciplinary expert consortium of 11 partners from 6 eu countries research and technological centres universities research organizations international networks and associations regional authorities as well as specialized companies and smes that bring in complementary skills and competences to achieve the projects objectives
governance innovations for a transition to sustainable and equitable water use in europe

govaqua identifies assesses develops and validates innovative governance instruments and approaches to support and accelerate a transition towards sustainable and equitable water use in europe such a transition is urgently required to reconcile water uses and environmental needs and to reach the aims of the eu wfd the green deal and the un sdgs by adopting an inter and transdisciplinary methodology that combines case studies with living labs the highly skilled govaqua team will systematically analyse and compare existing water governance systems across europe focusing on water use and its impacts in agriculture industries energy production water utilities and the role of citizens govaqua conceptualises for the first time sustainability transition in water governance and creates associated criteria and indicators for its assessment in order to respond to systemic development needs for the transition the project covers niche governance innovations in 1 legislation and regulation 2 multistakeholder participation and collaboration 3 economics and finance and 4 digital solutions for information sharing good practices related to them are systematically reviewed analysed and compared and further codeveloped assessed and validated with key stakeholders in realworld action situations of six living labs in river basins subbasins or catchments in france finland spain the uk and romania and transnationally between finland and sweden govaqua delivers new knowledge participatory tools and good practice guidelines laying out pathways towards sustainable and equitable water future the project results will be disseminated in a strategic and targeted manner to eu and member state policy makers and officials european river basin management community water and water using sectors ngos and water governance expert organisations and communicated to empower citizens in the consortium partner countries and beyond
deep brain stimulation based on the wireless magnetically localised and ultrasonically actuated microrobot

the application of deep brain stimulation dbs is a significant neurosurgical breakthrough that allows targeted circuitedbased neuromodulation which can directly measure pathological brain activity and deliver adjustable stimulation for the management of neurological and psychiatric disorders correlated with dysfunctional circuitry traditional dbs systems as the standard of care in parkinsons disease essential tremor and dystonia are developed based on the cardiac field including an intracranial electrode an extension wire and a pulse generator with advances in engineering and imaging technologies in the past two decades however these devices are typically centimetrescale which increases the risk of haemorrhage infection and damage during the treatments instead the small and remotely powered systems may result in less invasive neuromodulation therefore the proposed research aims to develop a novel microrobot that can implement deep brain stimulation by using the piezoelectric effect induced by ultrasound stimulation in the cerebral spinal fluid the proposed biocompatible robot can achieve less invasive neuromodulation and precise positioning by using the wireless external magnetic field
bacterial methionine oxidation repair and aging

identifying the causal molecular processes of aging is a longstanding quest in biology oxidative stress is a conserved hallmark of senescence among living organisms but the underlying mechanisms linking oxidative damage and aging have proved difficult to unravel multiple reports pinpoint methionine oxidation as an important antioxidant system influencing the lifespan of cells here i propose to develop an approach including singleparticle tracking and microfludicbased singlecell imaging to visualise methionine oxidation repair in live e coli bacteria such method is currently lacking in the field and its development although challenging could deepen our understanding of how systemlevel failures emerge out of molecular damage
identification and characterization of long noncoding rnas as drivers of stemness in hematopoietic stem cells and leukemia

hematopoietic stem cells hscs are a unique population defined by their selfrenewal capacity and the potential to give rise to all blood lineages a complete understanding of the specific mechanisms controlling hsc selfrenewal and multipotency is still lacking this knowledge is fundamental to improve ex vivo hsc expansion with therapeutic purposes and to unveil the mechanisms that promote aberrant cellular growth in leukemia long noncoding rnas lncrnas are emerging as novel players of normal development and physiology and their dysregulation has been associated with multiple cancer types recent data suggests that lncrnas may also act as molecular determinants of the balance between selfrenewal and differentiation in hscs however because of traditional limitations in rnaprofiling strategies current lncrna catalogs are still incomplete representing likely only a fraction of the whole lncrna repertoire expressed in cells in this proposal i aim to identify novel lncrnas specifically involved in the regulation of hsc identity to ultimately understand their function in normal hematopoiesis and leukemia for this i will construct a comprehensive hscspecific lncrna catalog through deep totalrna sequencing of mouse hscs and their closest cell descendants i will then infer lncrna functions through robust computational analyses and validate selected candidates invitro finally i will investigate the role of hscspecific lncrnas in vivo using a tcell acute lymphoblastic leukemia mouse model this work will extend our knowledge on lncrnas on the molecular mechanisms of hsc identity and on how their dysregulation leads to leukemia by performing this project i will gain firsthand experience in normal and malignant hematopoiesis while reinforcing my expertise in lncrna biology i also expect to reach the highest levels of professional maturity and scientific independence which will allow me to establish a highprofile research group in the near future
membraneassisted ethylene synthesis over nanostructured tandem catalysts

memcat targets to deliver a proofofconcept for the direct conversion of co2 to ethylene by realizing tandem catalysts which through nanostructuring will allow for consecutive co2tomethanol and methanoltoethylene conversions to occur in the same operational window a fundamental understanding of the parameters governing the reactions will be gained through detailed operando studies of the tandem catalysts which in combination with theoretical calculations will lead to the underpinning of the reaction mechanism and allow the rational improvement of the nanostructured catalysts to achieve an industryrelevant level of performance building on the consortiums knowhow the catalysts will be deployed in a membrane reactor featuring a combination of tailored nanocomposite membranes giving access to ethylene in a selective manner and high yield for the first time the memcat sciencetotechnology breakthrough will be achieved through a synergy of synthesis catalysis and theory to obtain novel nanostructured tandem catalysts and the development of nanocomposite membranes for a prototype catalytic membrane reactor replacing current multistep conversion pathways with existing catalysts the longterm vision of memcat is to give access to green epolymers by providing carbonnegative plastic precursors using anthropogenic co2 and green h2 the project will contribute to establishing the eu as the world leader in the use of co2 as feedstock for chemical production
extreme and sustainable graph processing for urgent societal challenges in europe

graphmassivizer researches and develops a highperformance scalable and sustainable platform for information processing and reasoning based on the massive graph representation of extreme data it delivers a toolkit of five opensource software tools and fair graph datasets covering the sustainable lifecycle of processing extreme data as massive graphs the tools focus on holistic usability from extreme data ingestion and massive graph creation automated intelligence through analytics and reasoning performance modelling and environmental sustainability tradeoffs supported by credible datadriven evidence across the computing continuum the automated operation based on the emerging serverless computing paradigm supports experienced and novice stakeholders from a broad group of large and small organisations to capitalise on extreme data through massive graph programming and processinggraph massivizer validates its innovation on four complementary use cases considering their extreme data properties and coverage of the three sustainability pillars economy society and environment sustainable green finance global environment protection foresight green ai for the sustainable automotive industry and data centre digital twin for exascale computing graph massivizer promises 70 more efficient analytics than aligraph and 30 improved energy awareness for etl storage operations than amazon redshift furthermore it aims to demonstrate a possible twofold improvement in data centre energy efficiency and over 25 lower ghg emissions for basic graph operations graphmassivizer gathers an interdisciplinary group of twelve partners from eight countries covering four academic universities two applied research centres one hpc centre two smes and two large enterprises it leverages the worldleading roles of european researchers in graph processing and serverless computing and uses leadershipclass european infrastructure in the computing continuum
geoanalytical transformations for answering questions with data

geographic information systems gis and corresponding data sources are of major importance for answering the questions posed by data scientists from various domains of application the recent trend of adopting artificial intelligence aibased methods in geography and geoscience has spurred hopes that geographic information can be successfully reused across disciplines without requiring the technical skills of gis in this context geographic questionanswering geoqa methods are particularly promising because they enable users without a technical background to answer their questions about geographic space using natural language however most geographic questions data scientists may want to answer require some form of geoanalytical transformation of maps answer maps need to be regenerated from data rather than retrieved from storage in contrast stored maps are frequently lacking outdated biased or of insufficient quality for example instead of retrieving statistical facts about noise intensity in a city we might want to know about the coverage of noisy areas in this city yet while the latter map might not be readily available it could be generated from available sources stateoftheart factoidbased geoqa methods are insufficient for this purpose because they directly match questions to facts skipping over the problem of how unknown answers may be generated from these sources in this project we will develop an entirely novel paradigm for databased questionanswering called transformative geoqa including a theory of geoanalytical transformations the latter not only allows us to interpret questions in terms of the procedures for answering them but also to describe geodata as a source or purpose of a transformation in geotransqdata we lay the methodical and theoretical foundations for a groundbreaking data ecosystem that enables the quantification of geographic phenomena by generating maps using natural language