Dragon09/odtu_chatbot huggingface dataset:
smart space exploration navigation

upcoming space exploration missions envisage precise and safe landing on planetary bodies as well as navigating orbiters landers space drones and robots such missions will be performed at various distances from earth reaching from the vicinity of earth and moon out to several astronomical units for targets like mars asteroids or the icy moons of jupiter and saturn a reliable execution of the operations mentioned above can only be achieved by implementing spacecraft autonomous operation and utilising the target body as a navigation reference this brings a novel requirement for the incorporation of a higherthanbefore grade of knowledge about the target based on apriori data and on measurements collected during the mission examples are globally georeferenced features originating from mapping missions or the 3d structure of the landing area measured by the spacecraft in the final phase of a landing this introduces the need for significantly improved onboard processing capabilities and smart algorithms for a wide range of space exploration missions with differentiated demands thus senav aims to enable breakthroughs in technologies and scientific instrumentation for space science and exploration missions including those described in the global exploration roadmap with strong focus on optical navigation for orbiters landers drones and robots with respect to fully autonomous navigation even for unknown environments in order to enable these missions senav will start at trl23 to develop and advance smart algorithms optimized software solutions and miniaturized hw modules all to be validated through analogous test in laboratory environment aiming to achieve trl4 for all hw and sw technologies consequent optimization of the payload data processing system accompanied by use of cots components as well as the miniaturization of highperformance hardware for integration into small space platforms will contribute to the desired technological breakthroughs
novel biodegradable recyclable biobased and safe plastic polymers with enhanced circular properties for food packaging and agricultural applications

plastic waste poses an important environmental problem in europe and worldwide especially from leakage to natural habitats of more than 29 mt of plastic postconsumer waste collected in the eu in 2020 the average recycling rate of packaging waste was less than 40 packaging is the largest enduse market of plastic demand 405 multilayer packaging eg paperplastic composites widely used in the food and beverage industry applies mostly polyethylene pe film as plastic coating in the agriculture sector plastics are used to enhance crop yield save water and agrochemicals but bear the risk of being lost during operation agricultural plastics market represents 32 of the plastic demand and the 50 increase in global food supplies expected by 2050 will lead to a substantially higher demand of plastics for mulch films today mainly made of perebiolution aims to design and synthetize novel fully biobased and biodegradable polyester blends based on 25furandicarboxylic acid fdca and other biobased monomers fit for specific productmarket applications selected in this project for their widespread use and negative impact on the environment 1 plastic coating for food packaging eg for frozenchilled food or ready meal trays and 2 mulch films for agricultural applicationswelldefined properties will be established by carefully tuning the polymer blends for each application in order to boost the sustainability performance nontoxic substances used reduced nonrenewable energy consumption recyclable and at the same time home compostable and biodegradable in soil and aquatic environments and improved functionality while ensuring product and processes safety rebiolution is committed to remove barriers to market penetration by providing a dropin biobased polymer blend replacement that fosters a seamless transition for the downstream valuechain avoiding additional investment in the processing industrial lines and extracosts for consumers
justice in surveillance systems

in an era of digital transformation welfare states are incorporating data tools ranging from basic eportals to sophisticated aidriven systems while potentially improving service delivery concerns are being raised about intrusive surveillance especially among marginalized populations jusst seeks to expand on the coproductionist framework to go beyond limited interpretations of data ethics its main objective is to provide a comprehensive analysis of sociotechnical systems examining the interplay between human actors technology culture and institutions the core focus lies in understanding how sociotechnical imaginaries interact with digital tool applications within welfare services and how they affect digitally monitored welfare recipients dmwr across different societal structures it will furthermore look into potential for good uses of data tools and digital technologies jusst utilizes a qualitative international comparative appproach to examine the impact of surveillance on welfare recipients comparing income support recipients with offenders under electronic monitoring jusst aspires innovative theorization by adopting an interdisciplinary approach integrating insights from science and technology studies sts social policy studies and sociology of punishment besides its theoretical significance this project seeks to provide policy recommendations for the good use of data tools within an inclusive social and economic framework that caters towards the needs of all stakeholders involved the collaboration between the researcher who has a background in criminology and sociology of punishment and the research centre for digitalisation of public services and citizenship cedic at oslomet university in norway will facilitate a valuable exchange of expertise relevant for theory building developing wellinformed policy recommendations and career enhancement
deep programmability and secure distributed intelligence for realtime endtoend 6g networks

over the past decades the mobile communications has evolved over the different generations to the current 5g and transformed into a fundamental infrastructure that supports digital demands from all industry sectors however 5g systems are expected to fall short on meeting the anticipated stringent performance requirements for the new generation of real time missioncritical applications in view of that desire6g will design and develop novel zerotouch control management and orchestration platform with native integration of ai to support extreme urllc application requirements desire6g will rearchitect mobile networks through a its intentbased control and endtoend orchestration that targets to achieve near real time autonomic networking and b a cloudnative unified programmable data plane layer supporting multitenancy the latter will be supported by a generic hardware abstraction layer designed for heterogeneous systems flexible composition of modular microservices for slice specific implementations and flexible function placement depending on hw requirements will enable granular use case instantiation and service level assurance with minimum resource consumption and maximum energy efficiency the desire6g data control management and orchestration plane is supported by a pervasive monitoring system extending from the network to the user equipment or iot terminal desire6g will employ distributed ledger technology to support a dynamic federation for services across of multiple administrative domains and b infrastructureagnostic software security finally desire6g will enable communication and energy efficient distributed ai at the network edge while considering applicationlevel requirements and resource constraints the proposed innovations will be validated employing a vrarmr and a digital twin application at two distinct experimental sites
reconstruction and computational modelling for inherited metabolic diseases

our overall objectives are to accelerate the diagnosis and enable personalised management of inherited metabolic diseases imds established academic technology for statistical genomic analysis deep learningbased prediction of protein structure and wholebody metabolic network modelling shall be applied to generate personalised computational models given patientderived genomic transcriptomic proteomic and metabolomic data to train diagnostic models a comprehensive clinical team will recruit 1945 diagnosed patients with a wide variety of imds then validate the clinical utility of personalised computational models on a set of 685 undiagnosed patients an enhanced human metabolic network reconstruction especially for lipid metabolism reaction kinetics and inherited metabolic disease pathways will increase the predictive capacity of cellular and wholebody metabolic network models as an exemplar for other imds personalised computational modelling will be used to identify compensatory and aggravating mechanisms that associate with clinical severity in gaucher disease the predictive capacity of personalised models will be validated by comparison with additional empirical investigations of protein structure and function as well as metabolomics tracerbased metabolomics and proteomics of patientderived in vitro disease models to maximise the potential for impact personalised modelling software will be developed to be generally applicable to a broad variety of imds and implemented in a way that is both accessible to clinicians and admissible to regulatory authorities sustainability will be promoted by development of a roadmap for a european foundation to aid personalised diagnosis and management of imds informed by broad stakeholder consultation this is a unique opportunity to realise the potential of personalised computational modelling for a broad set of rare diseases which is a field where european collaboration is an essential for progress
optical nanofilm spectral filter for next generation hybrid solar cpvt system

efficient exploitation of solar energy is regarded as an effective solution to the problems induced by fossil fuel combustion in theproposed work a novel nanofilm spectral splitter nsf will be deployed in a hybrid cpvt collector acting highly efficient solarenergy conversion system contributing european green deal and un sustainable development goals this collector will benefit froma stepchange improvement in electrical efficiency via the optical filtering of spectral wavelengths that are inefficiently utilised by thepv cells in the form of heat enabling the delivery of hightemperature heat and enhancing the life of the pv cells this research aimsto break entirely from conventional design principles and develop pv mirror assisted solar thermal power systems improving theirannual efficiency by 1520 a novel concept of integrating nsf and pv cells for developing efficient pv mirrors will be breakthroughresearch in the field of hybrid solar thermal power generation the optifilt project is highly interdisciplinary and covers diversedisciplines such as material science nanofilm physics pv energy engineering solar collector development mechanical andchemical engineering thermal power generation the host supervisor is a worldleading researcher who will provide expert trainingand support for design and development of the innovative hybrid pvt concept the researcher a leading indian researcher will bringhis knowledge on the novel application of nanotechnology in solar spectral beam splitting to the host also design of concentratingcollectors will support optifilt through planned short visits and secondment the highquality twoway transfer of knowledgerequired for this project will ensure that research goals are achieved whilst also presenting a great opportunity to accelerate theacademic career of the researcher the completion of optifilt will lead to significant economic and societal impacts within the euand global
europes rail flagship project 1 mobility management multimodal environment and digital enablers

motional will enable the improved planning and operational management of services and offers and is therefore of paramount importance to meet the european ambitious target to make rail the preferred mode of transport in the future it will enable the future european railway system to be interoperable resilient able to adapt capacity and able to integrate all involved services including last mile operations exploiting the opportunities provided by digitalization the motional developments for the future european traffic management are key to achieve the foreseen single european rail area today rail traffic is managed on nationalregional level supported by legacy systems with a poor level of digitalization and weak integration with systems of other actors participating in the overall traffic planning and management process through the development of functional requirements associated specifications and operational or technological solutions and by taking advantage of the potential of digitalization motional will pave the way towards the implementation of the future european rail traffic management system to make rail the backbone of a multimodal transport system for passengers and freight the planned activities to achieve the objectives of destination 1 are carried out in two major workstreams workstream 1 has the three major focus areas planning and operation activities dealing with the future interactively linked timetable planning and operational traffic management systems and integration activities dealing with railway services to offer doortodoor mobility workstream 2 will deliver a set of digital enablers for all europes rail destinations ietransversal to support the development of destinationspecific digitalization solutions as digitalization is a fundamental transformational process encompassing the rail system as a whole
digitalized ports racialized labor shifting infrastructures for work in container shipping

container shipping has implications for everyone who has ever shopped in a store or online shipping is the backbone of the global economy 90 of the worlds goods travel by ship the industry has a global reach and a highly diverse workforce it is also structured by workers nationalities resulting in inequalities inequalities occur within ships where some european workers systematically receive higher wages and between regions where labor conditions varyshipping is currently undergoing rapid change as it digitalizes its workflows it is unknown if digitalization will help or hinder worker equality or for which groups technology can increase workers skills and make travel safer and more efficient yet the benefits may only extend to some while others face difficulties becoming skilled or lose their jobs altogether because pay and working conditions are structured by nationality the digitalization of shipping will likely also affect labors racialization or how practices and ideas about race are constructed and employed and related inequalitiesthe aim of digiports is to understand how and to what extent digitalization is reconfiguring the racialization of shipping labor this project innovatively combines critical logistics and algorithm studies it provides a groundbreaking study of how the ontheground implementation of digital infrastructures is reconfiguring four processes of racialization the displacement classification potential for criminalization and related precarity of workdigiports is the first ethnographic study of the digitalization of shipping it will provide an integrated analysis of how digitalization is reshaping labor and racial inequalities develop a fourpart framework for studying racialization as sets of institutionalized practices that extend across space and time and lay the groundwork for a new interdisciplinary field digital logistics studies
science multiverse meet the heroes of the research cosmos

what if students teachers citizens and science current and future enthusiasts will be invited to embark on an exploratory journey of discovery to our cosmos navigating through a multiverse of possibilities and questioning how our world would be without scientific progress guided by a group of superheroes each a fusion of renowned researchers from our common history participants will be engaged in diverse interactive activities combining education and entertainment and organised thematically by each universe this travelling tour around the cosmos will offer them a time visit to outbreaking research achievements and a what if debate what if multiverses were possible what if that specific finding did not exist what would be our life today if at some moment in our history researchers had chosen different careers science multiverse is an immersive steam voyage of encounters and celebration that opens research and science to all showcases researchers work and attracts the target audience and especially those less inclined to science and research activities uncovering daily life heroes the proposed preevent main event and postevent edutainment activities will bring participants and researchers closer to each other in settings of science education communication and experimentation around societal challenge and sustainable development goals using various formats including handson stations talks workshops storytelling plays and much more the night main event will be preceded by several teasers in schools and communities and followed by exploitation actions for sustained use of the educational resources produced podcasts stickers book with research bios tutorials for teachers and diy research centres interface units collabs universities schools public authorities and other key players such as msca fellows will collaborate to make this journey possible and will celebrate together this super european researchers night
correspondences in enumerative geometry hilbert schemes k3 surfaces and modular forms

enumerative geometry is concerned with counting geometric objects on spaces defined by polynomial equations the subject which has roots going back to the ancient greeks was revolutionized by string theory in the 90s and has since become a fundamental link between algebraic geometry representation theory number theory and physics with k3mod i propose to establish a wide range of new correspondences in enumerative geometry these link together different enumerative theories and open new perspectives to attack longstanding problems concerning the quantum cohomology of the hilbert scheme of points on surfaces modular properties of invariants of k3 surfaces string partition functions of calabiyau threefolds with links to conway moonshine and a major case of the crepant resolution conjecturethe geometry of the hilbert scheme of points on a surface will play a central role i aim to prove a correspondence between its gromovwitten theory and the donaldsonthomas theory of certain threefold families correspondences for moduli spaces of higgs bundles and the orbifold theory of the symmetric product of surfaces will be considered as well this provides methods to prove that gromovwitten invariants of hilbert schemes of points on k3 surfaces are fourier coefficients of quasijacobi forms possibly leading to a complete solution of their enumerative geometry after elliptic curves k3 surfaces form the simplest calabiyau geometry for which a complete understanding of the gromovwitten theory is in reach for elliptic threefolds i will study the relationship of their donaldsonthomas invariants with quasijacobi forms using both degeneration techniques and wallcrossing formulae the research goals of this proposal will lead to exciting new connections between geometry modular forms and representation theory the results will provide a clear understanding of the interplay between hilbert schemes k3 surfaces and modularity in enumerative geometry
intelligent suite for local and network demand and capacity balancing

the project encompasses the industrial research aimed to timely and efficiently create and use airspace capacity in combination with targeted effective demand andor capacity measures as such it will focus on advanced levels of dynamic airspace configuration leveraging different virtualization models digital inap applications as well as networkwide monitoring all with high levels of automation the project addresses the ri need for ondemand air traffic services reflective of traffic demand and the continuity of atm service despite disruption the project exploits the latest advancements in artificial intelligence and machine learning to supply a variety of supporting toolsets to atm stakeholders that enable rapid exploration of options for the deployment of capacityondemand solutions whenever and wherever required the benefits include increased enroute capacity and improved costefficiency of ats provision without compromising the current safety levels
unraveling the supramolecular architecture of molecular machineries in adaptive immunity

to combat daily threats of pathogens and abnormal cells the human organism features a sophisticated defense mechanism called the adaptive immune system in broad terms this intricate mechanism is triggered by specific peptide epitopes presented on molecules of the major histocompatibility complex class i mhc i which are scanned by cytotoxic t cells intracellular transport loading and cellsurface recognition of antigenic peptides on mhc i are orchestrated by machineries the peptideloading complex plc and the t cell receptor tcr complex the plc is composed of multiple subunits including the antigen translocation unit tap the mhc i heterodimer and several chaperones ensuring that only stable peptidemhc i molecules are released to the cell surface for decoding by tcr complexes ligand binding and the supramolecular organization of tcr complexes are translated into phosphorylation of conserved tyrosinecontaining cytosolic sequence motifs that initiate downstream signaling cascades based on their incredible efficiency and selectivity we hypothesize that the biogenesis of mhc i is highly processive and coupled via allosteric networking and that antigen processing and recognition machineries are compartmentalized by a defined supramolecular organization however despite their fundamental importance these architectural details of the plc and the tcr as well as the dynamic networking that is included in the quality control of the endoplasmic reticulum er and receptor signaling processes remain enigmatic due to their inherent dynamics low abundance and complexitythis ambitious proposal will contribute to a longawaited holistic understanding of the machineries that shape the vertebrate adaptive immunity the expected findings from this project will be groundbreaking in understanding the hidden processes of epitope selection and reception in human disease