Dragon09/odtu_chatbot huggingface dataset:
in situ structure determination of actinbinding proteins through a novel cryoelectron microscopy workflow

cell motility is driven by a complex network of forcegenerating biological machinery the key component in this machinery is the dynamic network of filamentous actin factin and actin binding proteins abps which maintain and regulate the network however structural information for many abpactin complexes as well as their in situ spatial distribution remain elusive this is because abps cannot be easily studied in isolation often exhibiting structural stability only when embedded in a complex filamentous network found within cells this has hindered a complete understanding of actin network regulation in cell migration addressing this important question requires understanding exactly how abps select factin and conversely how factin geometry recruits specific abps cryoelectron tomography cryoet can reveal both cellular ultrastructure and molecular details but often is lower resolution than a single particle cryoem approach thus innovative methods remain key to drive advancement in understanding in situ structures in this fellowship i will combine my expertise of single particle cryoelectron microscopy with expertise of cryoet in the schur lab to develop a novel hybrid single particle cryoet approach in order to reveal highresolution structures and contextual information of abps bound to factin directly within cellular protrusions ista is the ideal research institute due to abundant access to highend electron microscopes necessary for methods development the outcome of this action are tools for high resolution in situ structure determination and a better understanding of cell migration a process deeply rooted in malignant metastasis results will be disseminated through key research conferences and highimpact openaccess publications communication activities will be achieved through 3d rendered visual scientific illustrations targeting social media platforms and instituteorganized public outreach events
crisisresilient price discovery in decarbonized power systems

can we turn the energy crisis into an opportunity that advances the clean energy transition yes we can and we pave the path leading to just and equitable decarbonization debates that followed extreme events in europe and the us pointed to a wind of change for the power market design and the price discovery process operators are put in the corner inheriting market schedules that they more and more amend using their judgement whereas they are also accountable for their outofmarket decisions the process is inherently suboptimal and costly extreme events may turn annual market revenues into daily energy costsi will explore innovative ideas in generalized linear programming and adaptive robust optimization with datadriven uncertainty sets to support network and reliability related operator decisions and novel machine learning developments to remove computational barriers while maintaining interpretability tackling major obstacles that derive from nonconvexities externalities and uncertainty to date open problems leveraging demand adaptability and combining optimization with economic theory i will break new ground by i defining efficient adaptive and robust prices that minimize the gap between market outcomes and operator decisions and ii designing innovative protection mechanisms that dynamically delineate the blurred boundaries between systems and markets encoding crisis resilience and shielding from catastrophic financial impactscrisp will break the barriers that have restricted power markets to halfmarkets for more than 30 years tapping adaptable demand and set the foundations for efficient scheduling and correct investment signals in innovation infrastructure resource adequacy and sustainability the theoretical and computational breakthroughs will benefit a wide class of problems scheduling routing and others and are also relevant to integrated grids and systems hampered similarly by climate change and extreme events
inorganic photochemical patterning

light activation finds a widely spread application to produce photochemically solid organic resins at low irradiation intensity from liquid organic precursors the main advantages of this process are that it can be activated locally by focusing a light beam remotely and switched onoff easily in a safe and convenient irradiation regime for these features lightactivated polymerization is used for patterning organic structures in fields of high technological economic and social impact such as stereolithography and tooth restoration recently we demonstrated that a similar result can be achieved by photochemical generation of an acid or a base in a suitably designed precursor solution and that this approach can be easily extended to inorganic materials such as insoluble carbonates and phosphates on the basis of these results our project inorganic photochemical patterning inpatt hence the photochemicallycontrolled production of a solid inorganic matrix instead of an organic resin will offer a solution to the market for the problem of patterning inorganic materials with light the ambitious objective of inpatt is to provide new liquid formulations suitable for applications in stereolithography patterning and tooth and art restoration
adaptive transport systems with holistic representation of supply and demand

transport systems are complex with various entities across different decisionmaking levels there is currently no comprehensive way to model these entities and their interactions which prevents utilizing the full potential of the system for efficient and sustainable transportation we need to model the perspective of both the supply eg services infrastructure and the demand side eg preferences of users only then a holistic modelling framework can be developed where the decisions at different levels learn from one another and are adapted continuously in a robust way while accommodating the different preferencesi propose a holistic adaptive modelling framework that considers the interaction between different levels both on the supply and demand sides in order to adapt the decisions towards increased efficiency and sustainability this necessitates a paradigm change in modelling as it is challenging to maintain robustness across different timescales at the network level even though integrated models for multiple decisionmaking levels strategic tactical operational are a trend they only allow a reactive expost assessment but are not dynamically coupled not selflearning i plan to achieve this by developing modelbased adaptive optimization and learning methods with my expertise on optimization and behavioural modelling for example based on the performance of the routing decisions at the operational level in terms of delays the decisions on fleet sizing andor capacity of facilities will be adapted similarly based on a continuous learning of the preferences of users transport decisions will be adapted adaptor will lead to new models and algorithms for transportation researchers and beyond with selflearning capabilities this capability will enable service providers to adapt and maintain their business users to receive better services and society to reach sustainable transport solutions addressing one of eus grand challenges
dc for european union

climate neutrality requires the costeffective and reliable integration of large amounts of renewable energy sources in the power system leading to the need of wheeling large amounts of power over long distances hvdc and dc technologies are the most suitable choice to flexibly integrate remote energy sources in a reliable and costeffective manner to boost the development of dc technologies the set plan implementation working group on hvdc and dc technologies dc iwg has been established with the goal of delineating a roadmap for the growth and deployment of hvdc and dc technologies over the coming years through identifying the research and innovation priorities and enhancing the cooperation collaboration and coordination between the set plan countries the current organisational support to the dc iwg is based on voluntary work from the members dc4eu coordination and support action is designed to facilitate the work of the dc iwg and achieve its outcomes and to ensure the information exchange with the set plan to accomplish this dc4eu will provide organizational and administrative support to the dc iwg as well as coordinate and communicate with relevant parties stakeholders and initiatives moreover dc4eu aims to disseminate and exploit the outcomes of the dc iwg for wider adoption of the iwg outcomes additionally the project seeks to initiate societal engagement to raise the awareness about the significance of dc technologies by doing so dc4eu will results in 1 updating the implementation plan for hvdc and dc technologies to meet the future requirementsneeds 2 enhancing coordination between dc iwg members and between the dc iwg and the set plan office 3 learning from first movers which refers to the ability of gaining insights and knowledge from early adopters of dc technologies 4 coordinating national and european research activities and 5 communicating research and innovation needs of dc technologies to a wide audience
purposeful intrinsically motivated lifelong learning autonomous robots

pillarrobots aims at developing a new generation of robots endowed with a higher level of autonomy that are able to determine their own goals and establish their own strategies creatively building on the experience acquired during their lifetime to fulfil the desires of their human designersusers in reallife application usecases brought to trl5 to this end the project will operationalize the concept of purpose drawn from the cognitive sciences to increase the autonomy and domain independence of robots during autonomous learning and at the same time to lead them to acquire knowledge and skills that are actually relevant for operating in target real applications in particular the project will develop algorithms for the acquisition of purpose by the robot ways to bias the perceptual motivational and decision systems of the robots cognitive architectures towards purposes and strategies for learning representations skills and models that allow the execution of purposerelated deliberative and reactive decision processes given the aim of reaching trl5 pillarrobots will implement and validate demonstrators of purposeful lifelong openended autonomy using the resulting purposeful intrinsically motivated cognitive architecture within three different application fields characterized by different types and levels of variability agrifood edutainment and unstructured industrialretail pillarrobots will perform a complete evaluation of the possibilities and impacts of purposeful lifelong openended autonomy in these realms from an operational perspective but also from a marketoriented with significant productivity gains and societal socioeconomic ethical and regulatory perspective engagement of industry and sme players is also expected in order to prepare the ground for further largescale demonstration
smr aircraft architecture and technology integration project

the smr aircraft architecture and technology project smr acap shall be the central place to assess and integrate all technologies at aircraft level from across the projects in the smr pillar establishing the link to projects with relevant technologies in the other clean aviation pillars and transverse projects associated with novel certification methods is part of the work plan of the project the setup of the acap project is tailored to steer and manage the definition of the targeted smr aircraft configurations with all key performance features required for the smr architecture in order to accelerate the maturation of the smr aircraft technologies acap will provide a digital collaborative framework with tools means and skills enabling to continuously link all rt activities within the smr pillar strongly linked to other clean aviation pillars to deliver solutions meeting the clean aviation high level goals reduce the greenhouse gases by 30 compared to a 2020 state of the art technology
construction of a flexible and adaptable enzymatic biotechnological platform for sustainable industrial production of biobased fatty amines from side stream materials

fatty amines possess cationic and surfaceactive properties finding applications in cosmetics coatings detergents and more with a projected market growth to 554 billion by 2027the traditional nitrile route for their synthesis is flawed by drawbacks like high energy needs toxic catalysts harsh conditions and low selectivity resulting in complex amine mixtures biotechnological alternatives deploying enzymes offer a sustainable alternative characterized by mild conditions and high selectivity but their industrial implementation is hampered by cost and complexity challenges currently theres a lack of a holistic approach that considers upstream midstream and downstream factors when designing biotechnological processesflexizyme aims to pioneer an interdisciplinary systematic biotechnological platform for fatty amine production from fat and proteinrich residues encompassing all process stages integrating cuttingedge technologies will address limitations hindering enzyme use in cosmetics detergents and agriculture scaling up and validation across these sectors is a pivotal project aspectkey project elements include a chemoenzymatic approach enzyme engineeringimprovement machine learning tools applied to experimental and in silico data reactor design and monitoring these findings will culminate in a biotechnological platform for fatty amine production encouraging widespread adoption of biotechnological industrial applicationsguided by technoeconomic assessment and life cycle assessment flexizyme ensures productivity yield robustness and flexibility a multiactor approach and interdisciplinary collaboration aligned with industrial needs will streamline the implementation of the biotechnological platforms outputs in industrythis flexible versatile biotechnological platform marks an innovative departure from existing fatty amine production processes addressing current limitations enhancing environmental performance
commercialization pinova a welfare technology startup

our innovation addresses the societal challenge and market opportunity the ageing of the european population represents our innovation makes it possible to continue live safely at home for an extended period despite agerelated functional and mental impairment un sustainable development goal 3using a nonintrusive system of sensors algorithms and artificial intelligence we identify incidents in elderlys homes with activity outoftheordinary their loved ones automatically get alerted by a digital generated phone call explaining the incident our innovation is user friendly
designing a european brain health landscape

the coordination and support action csa brainhealth will lay the ground for an envisaged european partnership ep on brain health twenty participants from 11 member and associated states and third countries will jointly pursue the work plan the overall objective of the csa is to sizeably contribute to maintenance and restoration of brain health for citizens in europe and worldwide specifically the project aims to design a collaboration framework for the ep as an umbrella for existing initiatives and stakeholder communities in this area the csa will create a common understanding of achievements gaps and future developments in european research into brain health and derive from them priorities and opportunities in a strategic research and innovation agenda sria intense consultation with representatives of member and associated states is expected to lead to adoption of the sria and development of an implementation plan that will allow for strategic alignment of regional and national research programmes and commitments to the ep research infrastructures and platforms will be analysed regarding their service opportunities and solutions will be developed to facilitate data and material sharing in the area of brain health for highest possible impact the csa will reach out to the most relevant globally acting initiatives and their brain research strategies and policies synergies will be identified to shape the international landscape and establish new while maintaining existing collaboration finally the csa activities will be embedded in thoroughly planned dissemination and communication activities and an efficient management structure
uncovering the cell of origin of group 4 medulloblastoma

medulloblastoma mb is the most common malignant paediatric brain tumour affecting mostly infants and children and to a lesser extent adults it originates from neuronal stem or progenitor cell populations on the cerebellum or brainstem during development andor childhood comprising around 60 of childhood intracranial embryonal tumours the main risk factors associated with this condition are heritable factors including germline mutations in genes that regulate developmental signaling pathways in the cerebellum mb are classified in 4 subgroups wnt sonic hedgeghog shh group 3 and group 4 according to their gene expression cell of origin methylation patterns and clinical features group 4 mb is the most common subgroup of mb affecting approximately 40 of the patients with this condition the cellular origins of group 4 mb are still under debate however recent papers using single cell rna sequencing showed that group 4 mbs are characterized by the expression of transcription factors such as eomesodermineomes and limhomeobox protein 2lhx2 genes expressed by granule upper rhombic lip progenitors more specifically unipolar brush cellsubcs that are born during cerebellar morphogenesis therefore one can hypothesize that group 4 mb originates from ubcs progenitors the main goals of the origin4mb project are to uncover the cell of origin of group 4 mb and to develop the first preclinical model of group 4 mb revealing unprecendented insights in mb biology to this end we will use lineage tracing techniques lentiviral in utero infection in vivo imaging and postmortem analysis we will also validate if the generated mouse model is able to recapitulate the human disease this validation will determine if this model could be used to develop new treatments for group 4 mb opening the door to new therapeutic avenues for those pedeatric patients ultimately improving their quality of life
doctorate in sport ethics and integrity

the doctoral training network in sport ethics and integrity daisi is an interdisciplinary network comprised of 5 prestigious universities ku leuven belgium lead johannes gutenberg university mainz germany beneficiary norwegian school of sport sciences norway beneficiary swansea university wales beneficiary and university of lausanne switzerland associated partner and 8 leading international sport federations sport organisations and nongovernmental organisations international olympic committee ioc international federation of football associations fifa union of european football associations uefa united nations office on drugs and crime unodc world anti doping agency wada international biathlon union ibu and athletics inegrity unit aiu our research domains include cheating doping matchfixing data protection sexual harassment and abuse credibility reputation and damagelimitation we examine the problems identify published and novel solutions deliver multidisciplinary research and work with stakeholders to improve policy and guidelines to prevent future harms to sportspersons and organisations the network provides extensive training and interdisciplinary doctoral education to 13 selected doctoral researchers recruited impartially from around the world every thesis contributes to a coherent programme of research which takes a threedimensional approach at the individual competition and organisational levels each of which has its own ethical legal and social challenges our researchers will graduate from the programme with a joint doctorate from at least two leading universities as well as having gained realworld experience and skills that make them immensely attractive to employers
breath research interactions and development via guidance and exchanges

greece is still suffering repercussions from the financial crisis of recent years with an overall economic downturn notably in research and innovation ri the ensuing lag has cleaved a widening gap in the scientific arena between greece and leading european countries limited funding resources and corresponding low prospects for young researchers has intensified this impeding situation the breath research interactions and development via guidance and exchanges bridge twinning project represents an opportunity to reverse this scenario and increase the excellence capacity of the foundation for research technologyhellas forth in greece by sharing infrastructure skills and methodologies and via a dedicated training programme with the fondazione istituto italiano di technologia in italy and the fraunhofer institute for process engineering and packaging ivv in germanybridge is a threeyear ri venture that seeks to develop and implement advanced tools and complementary mechanisms to establish forth as a leading performer in cuttingedge ri through training and networking activities with the leading partners this will be achieved via a common vision that focusses on the development of novel perovskitebased nanomaterials and their directed engineering to detect selected volatile compounds that are of relevance to continuing standardization endeavours in breath researchthrough a planned series of training and mobility initiatives bridge will lead to closer links between the partners and will thereby enhance the excellence capacity of forth moreover this initiative will support the postdoctoral researchers to improve their research and management skills and to explore new avenues to share ideas solve scientific and technological challenges and increase the impact of their discoveries and innovations the comprehensive dissemination and exploitation strategy will promote the ri capacity visibility and profiles of forth and its academic staff
integrated refined multiscale approach for innovative lightweight structures

the project aims to develop a new integrated approach for designing and optimising innovative lightweight structures in recent years material engineering has introduced a new class of material with mechanical properties not found in nature metamaterials their exceptional properties are valuable in designing even more performant and sustainable lightweight structures the complex design achieved by metamaterials is obtained by additive manufacturing am techniques the effective mechanical properties are computed using multiscale homogenization approaches topology optimization at a multiscale level brings a great variety of functionalized metamaterialhowever the multiscale approach has been fully developed only for solid models at a heavy computational cost the am process has its own manufacturability constraints that limit the optimization process the defects and material limits need to be addressed to guarantee the component functionality and safety the irma project aims to provide a new approach for a fully integrated design of innovative lightweight structuresthe specific objectives are1 to formulate a refined approach for the multiscale structural behaviour of innovative lightweight structures2 to implement an integrated numerical solution to address microstructural defects and limits of the metamaterials in lightweight structures3 to develop a new numerical optimization method that considers macro and micro model constraints to improve the design of lightweight structures using metamaterialsthe project is thoroughly designed to maximize training and transfer of knowledge to the host group project management risks communication and dissemination activities including industrial partners are carefully designed my supervisors experience the full integration in his group camms and the cimnecerca resources are the perfect ingredients for developing the irma project