Dragon09/odtu_chatbot huggingface dataset:
innovative medical software design for orthotic therapy

custommade orthotic devices such as orthoses shoes insoles and prosthesis shafts are a central feature of orthotic therapy it is estimated that 12 of the whole population are at some time in need of such an orthotic device and about 1 of the global healthcare budget is spent on orthotic therapyusually an orthotic technician still produces these by hand and fits them by feel visual inspection and verbal feedback from the patient if available sendance offers a complete solution to manufacturers of custommade orthotic devices that enables them to digitize their products the three components of this solution aresendancegrid a thin conformable and permeable sensor matrix called sendancegrid can be seamlessly integrated in the surface of the orthosis this groundbreaking solution in the field of stretchable electronics enables for the first time a quantitative analysis of the fit of custommade orthotic devices sendancecloud sendance provides an integrated software solution called sendancecloud for managing and visuaizing the data gathered by the sendancegrids the data collection in the sendancecloud is the basis for bigdataanalysis that can help to optimize orthotic therapy sendanceservices the sendanceservices provide assistance to patients orthotic technicians and orthopedists with warnings and recommendations based on the data in the sendancecloud in the framework of the women techeu the cto dr yana vereshchaga with assistance of the coo dr daniela wirthl will head a project to make a valid project plan for the sendancecloud and sendanceservice products create mockup demonstrators draft a roadmap for medical product regulations set up a first implementation of a quality management system according to iso13485additonally they will improve their business project management and leadership skills in order to support their move from university science into leading positions in a dynamic startup environment
accelerated deployment of integrated ccus chains based on solvent capture technology

rapid upscaling and deployment of more costefficient and sustainable carbon capture solutions is needed to reduce the emissions of co2intensive industries solventbased carbon capture is an important technology that can be readily adopted to many emission sources such technology can achieve high capture rates and deliver co2 at high purity with a relatively low energy demand in aurora the open and nonproprietary cesar1 solvent technology will be optimised and qualified for commercial deployment the technology will be demonstrated at trl78 for three co2 intensive industries refining cement and materials recycling for which there are few other options to achieve climate neutrality the partners will demonstrate negligible environmental impact emissions being a potential issue for solvent technology capture rates at 98 and capture costs reduced by at least 47 compared to a benchmark process with the mea solvent this will be achieved due to the following innovations 1 holistic optimisation of solvent composition process design emission monitoring and control and solvent management 2 validated models for use in commercial process simulators 3 enhanced waste heat integration with carbon capture for reduced external heat demand and operational costs 4 improved and integrated advanced control system for reduced opex and optimised performances these innovations will be integrated in four optimised capture processes and various aspects will be demonstrated in pilots of various size and complexity the partners will ensure transferability of results to other co2 intensive industries thanks to the large variations in co2 source and developed clusters addressed in the project and a strong stakeholder participation the project will also do full ccus chain assessments for its endusers it is noteworthy that the endusers are situated in two different regions of europe offering different conditions for the implementation of ccus value chains
quantifying cell dynamics in myelopoiesis during immune responses

although changes in immune blood cell number is commonly used as a sign of infection or inflammation in the clinics the cell dynamics parameters controlling cell numbers during an immune response division differentiation and death are not well understood as myeloid cells are short lived changes in myeloid cell numbers comes from cell production by myelopoiesis given the importance of cell dynamics in immune response we propose to unravel the cell dynamics of myelopoiesis during inflammation however few methods allow to measure in vivo the cell dynamics parameters methods to study division in vivo can trace up 10 divisions apart for the telomere measures that have no maximum but is restricted to cell types without telomerase activity unlike our cells of interest as we estimate a minimum of 14 divisions from hematopoietic stem cells to myeloid cells a new method to follow over 10 divisions is required this proposal will overcome this methodological barrier by developing the divcounter a new method to count division in vivo in mice our innovation is 1 to implement a quantitative counter of division combining wet and dry lab 2 compatible with single cell transcriptomics to measure cell differentiation status with the required granularity 3 creating a new mouse model using the divcounter we will quantify for the first time the number of divisions in homeostatic myelopoiesis we will also infer division differentiation and death rate uncovering the understudied role of death in myelopoiesis we will also unravel how division and death change during emergency myelopoiesis and when and how myelopoiesis returns to homeostasis after inflammatory stimulations this knowledge will shed light on which of the cell dynamics parameters to intervene to change myeloid cell numbers opening therapeutic perspective for the design of vaccines and immunotherapies the divcounter will serve other fields in which cell dynamics is key cancer development
framework for safe open collaborative and inclusive digitisation and management of cultural heritage

the cultural heritage ch sector including institutions such as galleries libraries museums and archives glams is facing an increasing pressure to digitise their collections in order to make them more accessible to the publicreevaluate project aims to address the challenges faced by the cultural heritage ch sector in digitising their collections by developing a framework for safe open collaborative and inclusive digitisation of ch the framework will provide a structured approach for managing digitisation efforts in a responsible and sustainable way with a focus on addressing potential risks and barriers related to issues such as intellectual property rights cultural sensitivity and appropriate use of digital technologies the framework is designed to be participatory inclusive and cocreative which means that it involves the active participation of stakeholders such as cultural heritage institutions experts and diverse communities this approach helps to ensure that the framework is tailored to the specific needs and contexts of the cultural heritage sector in europe and that it is widely accepted and adopted by relevant stakeholdersreevaluate will validate the results in 3 different reallife use cases demonstrating the frameworks ability to manage the challenges associated with digitization of ch artefacts and their reuse within 1 the fashion and gaming industries 2 the advertising industry and 3 the tourism industryto achieve this the project relies on a consortium of 16 partners from 7 countries bringing together key actors of the european ch and digitisation sectors ch technical and business stakeholders multiple key communities from gaming fashion advertising and tourism sectors key experts in legal and ssh aspects to guarantee legal and societal compliance and facilitators on ch community building and standardisation activities to accelerate the transfer to the market
deciphering the regulatory logic of the ubiquitin system

as the primary route through which eukaryotic cells achieve selective protein degradation the ubiquitinproteasome system ups plays a key role in virtually all critical cellular processes a major unresolved question concerns how the ubiquitin system attains such high selectivity towards its myriad of substrates the main specificity determinants are the e3 ubiquitin ligases which recognise cognate degron motifs found in substrate proteins however for the majority of the 600 e3 ligases encoded in the human genome we still have little or no knowledge as to their substrates and our understanding of degron motifs remains limited this knowledge gap prevents us from appreciating how key cellular processes are regulated and impedes the development of small molecules capable of either inhibiting or hijacking e3 ligases for therapeutic benefit to complement the biochemical and proteomic techniques that have served as the primary route to discovery in the field we seek to exploit functional genetic approaches to understand how e3 ligases recognise their substrates leveraging an expression screening platform that enables proteomewide stability profiling our specific goals are to 1 identify physiological substrates regulated via degrons lying at their extreme ctermini 2 define novel mechanisms through which conditional protein degradation is achieved via phosphodegrons and 3 characterise the spectrum of degradative pathways responsible for the instability of hundreds of the most shortlived cellular proteins for each goal we will first provide global insight by systematically interrogating the proteome for relevant substrates for the most interesting candidates we will then seek detailed mechanistic understanding to illuminate new biology successful completion of this work will transform our understanding of how specificity is achieved within the ups and greatly facilitate its future therapeutic manipulation
debunking eurocentric literary history poetry across borders in medieval sicily

medieval sicily occupies a crucial position in literary history incorporating the three monotheistic traditions of islam christianity and judaism it has a repertoire of texts in arabic hebrew greek latin and romance in the 13th century sicily was the protagonist in a pivotal event in world literature the rise of the italian lyric this early italian poetry was to influence dante and petrarch as well as humanists and scholars throughout europe until at least the 18th century no study to date has been capable of addressing the poetry of medieval sicily as a whole literary studies on sicily have been compartmentalised according to disciplinary boundaries a compartmentalisation which has hampered our understanding of the foundational role that sicilys multicultural past played in literary historythe proposed project aims to address the complexities of medieval sicilian literature by studying the totality of the court poetry produced in sicily in arabic hebrew greek latin and italian between the 10th and the 13th cc the project thus promises to shed light on what amounts to a black hole in literary history it will document over four centuries of cultural interactions and allow us to fully assess the role of sicilys many cultures in the rise of the italian lyricour team will collect all of the available evidence in an electronic corpus to be published online under a creative commons licence and then study it using the latest it tools working across linguistic boundaries our team will approach this poetic corpus as a whole in order to reveal how the multiple linguistic traditions of medieval sicily interacted with each other shaping a unique semiotic community whose expressions were to contribute to the formation of western culture
comorbidity mechanisms utilized in healthcare

the covid pandemic can be seen as an experiment done with the entirety of humankind as almost everybody has been or will get infected with sarscov2 it will therefore have the best coverage over the widest variation possible and is therefore ideally suited to study the effects of infections with sarscov2 on large quantities of heterogeneous individuals in our project we will focus on neurodegenerative diseases ndds namely alzheimer and parkinsonism as the ncds under investigation commute is a project characterized by the intelligent combination of two fundamentally different approaches a hypothesesfree datadriven approach is building on available big data and the application of cutting edge aiml technologies to answer the question whether infection by sarscov2 causes effects that result in a higher risk for the development of ndds at populationlevel complementary to that a hypothesisdriven knowledgebased approach leverages the substantial knowledge in the scientific community working on ndds on the putative comorbidity mechanisms linking covid and neurodegeneration both approaches are informing and supporting each other through an intensive crosstalk between computational and experimental biology methodsunderstanding comorbidity between covid and ndds at causal level is the first goal of the commute project the second goal is the translation of the actionable insights into personalized health applications on the aiml side the targeted outcome for translation into practice is a set of qualified biomarkers and predictive features that will be used for an aipowered modelgenerated recommender system that will allow for individualized risk assessment and personalized recommendations on the side of the biomedical assay systems commute will use cellbased assays based on clear pathophysiology mechanism understanding for drugrepurposing screenings in collaboration with remedi4all the largest of the eu drug repurposing platforms
superconductorbased readiness enhanced magnetoplasmadynamic electric propulsion

highpower electric propulsion technology is needed to enable the sustainable realisation of emerging market applications such as onorbitservicing inspace cloud computing debris removal and cislunar infrastructure however relevant technologies in terms of costeffectiveness sustainability and performance are not yet available the commercialisation of new markets requires more scalable and flexible propulsion solutionsappliedfield magnetoplasmadynamic afmpd thrusters are a robust efficient and scalable electric propulsion technology especially suited for highpower operations thanks to their high thrust levels and power densities these benefits have motivated their widespread research since the 1960s the main development limitations have been the thruster lifetime and flight readiness imposed by the use of conventional copper magnets for generating the applied field these problems can be overcome with the use of hightemperature superconductors hts which can provide the required magnetic field for afmpd operation in a compact and lightweight systemunder the leadership of nss a startup commercialising hts applications in space supreme aims at increasing the flight proficiency of afmpd by demonstrating the integration of hts coils and all necessary supporting subsystems in a relevant environment and the corresponding increase in thruster performance and lifetime supreme also aims to validate the commercialisation potential of the technology by generating a welldefined business model for achieving sustainable revenues and upscaling of productionthe consortium is completed by 2 ris an innovative sme and an oem on the academic side both ustutt and ut are institutes working at the forefront of disruptive rd in the key areas of ep space cryogenics and hts systems peak represent a key part of the supply chain for propellant tanks and airbus will contribute as both a supplier and potential first adopter of the technology
marine coastal biodiversity longterm observations

marcobolo mbo aims to structure and strengthen european coastal and marine biodiversity observation capabilities linking them to global efforts to understand and restore ocean health hence ensuring that outputs respond to explicit stakeholder needs from policy planning and industry to this end mbo will establish and engage with a community of practice cop to determine enduser needs with the aim of optimising marine data flows knowledge uptake and improving governance based on biodiversity observationsby exploiting synergies with concurrent projects mbo will develop and demonstrate new autonomous technology for biodiversity mapping and monitoring and data streams from remote sensing edna robotics optical and acoustic observations protocols for ednabased biodiversity observations are established and validated across applications taxa and ecosystems the sequence of the analytical and technical processes for the different use cases will be incorporated into operational essential ocean variables eovs and essential biodiversity variables ebvs and included into online reusable workflows contributing to the free and open access of eu and global biodiversity information facilities and to support major eu biodiversity directives and global initiativesthe project partnership will leverage its international activities mbon goos obis and participation in un ocean decade programmes marine life 2030 obon odis ocean practices for the decade to align the mbo work programme to global cop ensuring european participation and leadership in global biodiversity monitoring and global science mbo results will be designed to build upon existing capability and infrastructures and to be relevant to existing frameworks so that outputs can be easily integrated into national regional eu and adjacent sea basins and global observation systems with no delay ensuring the reusability of the investments europe is already making in data generation
magnets in resilient supply chains

magellan will for the first time in europe create a direct collaboration between material scientists designers manufacturers recyclers and endusers to engineer and demonstrate at trl7 a disruptive sustainable and costeffective rareearthelement ree permanent magnet pm value chain solution for high volume electric vehicle traction motors evtm including1 engineering and demonstration at trl7 of an integrated highly advanced recycling and manufacturing process for improved resource efficiency shortloop recycling based on magnettoalloy neodymium substitution and functionally shaped pm manufacturing via powder injection moulding2 development of a new evtm rotor design benefitting from advanced shaped pm to improve assembly enhance motor performances and facilitate dismantling of endoflife motors resulting in improved cost effectiveness and reduced material loss during recycling3 optimisation of magnet recovery and recycling to avoid downcycling by minimising dispersion and dilution of heavy ree implementation of characterisation and decision protocols to orient recovered magnets to the most suitable recycling route supporting standardised magnet labellingmagellan will demonstrate the trl of highly recyclable pm prototypes in an evtm within a representative operating environment sustainability and business benefits will be demonstrated through lifecycle analysis the future industrialisation of the magellan solution is estimated to reach a production of up to 2000ty ie 1012 of the expected european evtm market in 2040 and 4 of the expected european pm market in 2040 including all enduser sectors thus significantly contributing to improving responsible supply of raw materials to europe it will potentially generate hundreds of new jobs in europe in pm manufacturing recycling and ree industry and contribute to a reduction of pm co2 emissions of up to 50 when compared with standard magnet manufacturing processes
ai exposure therapist for anxiety disorders

anxietyrelated disorders such as phobias ptsd social anxiety panic disorder are highly prevalent and pose a great burden on society firstline treatment for such disorders is exposure therapy et which entails safely exposing patients to the source of their anxiety although current et protocols are generally effective many patients do not respond to the therapy or experience residual symptoms and relapses how to optimize many aspects of et protocols such as intensity and timing of the exposures remains uncertain moreover the current research approach of studying the effect of at most few variables using betweengroup trials has produced mixed results despite large efforts finding optimized et protocols is a highdimensional search problem with complexly interacting variables to efficiently search this highdimensional space this action will develop a new paradigm for improving et by utilizing modern artificial intelligence ai and biosignal analysis methods in particular the new bioadaptive et paradigm will make use of latest advances in reinforcement learning algorithms and psychophysiological models reinforcement learning will allow intelligently optimizing the exposure procedure by sequentially learning from each trial and each participant and psychophysiological models will allow to estimate the participants anxiety level better than through overt behavior or physiological signals alone although aimed at anxiety disorders the proposed bioadaptive et paradigm has the potential to serve as a blueprint for optimizing behavioral therapies in general this action will allow the fellow to gain valuable knowledge of latest ai techniques which will put him at the forefront of the emerging discipline of computational psychiatry furthermore the proposed agenda will lay the foundation for innovative translational research that will ultimately benefit patients in the eu and beyond
building ecosystems of personcentered integrated care through cocreation

the significant increase of the older 65 european population with complex care needs calls for a better integration and coordination between health care and social services existing socioeconomic and gendered inequalities in ltc might worsen in the future due to demographic ageing and austerity measures in ltc provision so far personcentered integrated care pcic as one solution to tackle these challenges has mostly been developed in a topdown logic and community engagement and participatory codesign have hardly been explored to develop pcic solutions the aim of build is to develop a framework and toolbox that assists policy makers in implementing participatory codesign and community engagement as methods to develop socially inclusive and sustainable pcic solutions for older adults with complex care needs that can be evaluated by the social return on investment build will increase the understanding of pcic by mapping and analyzing existing ecosystems of ic across europe and identifying their corresponding regulatory frameworks and current challenges build will then go beyond these challenges by conducting a longitudinal crossnational study that investigates care integration on a practical level developing scientific evidence on how social inequalities shape the access to and the outcomes of diverse forms of care and their integration while also highlighting the needs and required skills for pcic from the patients and caregivers perspective throughout the project build will involve communities older adults with complex care needs informal caregivers stakeholders and policy makers on different regulatory levels in the participatory codesign of pcic solutions and develop policy recommendations based on the experiences gathered ultimately build will develop a codesign framework and toolbox as the main outcome of the project that supports the implementation of pcic through codesign and community engagement