Dragon09/odtu_chatbot huggingface dataset:
hyperspectral terahertz nearfield nanoscope exploiting miniaturized frequencycombs

star aims to increase the technology readiness level of the stateoftheart grapheneintegrated miniaturized frequency comb fc quantum cascade laser qcl operating at terahertz thz frequencies devised under the erc consolidator grant sprint and develop a detectorless sensingimaging demonstrator apt to the translation of this technology to industrial endusers the focus is on providing a compact lowcost hyperspectral nanoscale imaging system which creates amplitude and phaseresolved images employing the notinvasive broadband thzfrequency light of a metrological frequencycomb source without making use of an external detector this nanoscope ensures 40100 nm spatial resolution 100 times smaller than the thz freespace wavelength coherent detection and mapping of the thz optical response of materials over the continuous 25 thz bandwidth provided by a fully stabilized thz qcl fc with noiseequivalentpower 10pwhz and fast mspixel acquisition rates far exceeding the performances of commercial timedomain spectroscopy nearfield systemsspecific objectives are to manufacture a compact portable and userfriendly thz hyperspectral nanoscope validate its core technology with commercial endusers and at tradeshows and evaluate opportunities for thz fc selfdetection nanoscopy identifying novel enduser applications with a detailed market ipr and regulatory compliance study by the end of this programme i plan to identify a solid exploitation route by directly interacting with thz instrument producers and with targeted commercial enduserspushing forward a solid commercial exploitation route star prospects new directions and longterm impacts on many interdisciplinary fields crossing engineering biology medicine cultural heritage material science and quantum technology and in a frontier frequency domain where electronics and photonics find a fascinating convergence
improving scientific excellence and creativity in combating disinformation with artificial intelligence and language technologies

the aim of the disai project is to enhance the scientific excellence of kinit and the consortium partners in trustworthy ai and multimodal natural language processing and multilingual language technologies to combat disinformation disinformation spreading threatens european democratic values and tackling it is a european level priority as the amount of disinformation grows ai and in particular language technologies have a crucial role in detecting disinformation to meet the european goals it is increasingly important to develop tools and methods for disinformation combating also for low resource languageskinit the widening partner from slovakia has taken a leadership role in shaping the ri landscape of slovakia by boosting crosssectorial interdisciplinary and international collaboration the ambition of kinit is to strengthen ai to combat disinformation an area that especially in slovak digital space contributes to the development of ai technologies and tools for low resource languages and growing awareness of online disinformationto achieve scientific excellence of kinit the activities of the project aim to increase the research capacity and excellence of scientists at different career levels in multilingual and multimodal language technologies and trustworthy ai together with leading partners german research center for artificial intelligence centre for research and technology hellas and copenhagen university a joint research project on claim matching as well as networking and mobility activities will be organised importantly transfer of knowhow on innovation and creativity for facilitating industryacademia collaboration and boosting the skills of the research managers and administrative staff will be part of the capacity building programme
disentangling psychological interventions for mental disorders into a taxonomy of active ingredients

severe mental disorders like psychotic or borderline personality are associated with higher mortality both allcause and by suicide psychological interventions usually combined with other treatments are effective options though less so than for common mental disorders however mechanisms and predictors of treatment response key for improving effectiveness and for precision medicine are mostly unknown the greatest barrier is our approach to psychological interventions as brands or categories without knowledge of active ingredients and particularly of which ingredients are effective the proposal will bridge this gap by dismantling psychological interventions into components integrating these into a taxonomy and radically reevaluating treatment efficacy and personalization from a novel perspective components instead of brands and categories we will use recent network metaanalyses to assemble a large collection of psychological interventions for severe mental disorders psychotic bipolar substance use eating and borderline personality we will retrieve intervention protocols and extract components iteratively via multiple rounds of independent coding we will integrate components in a crossdisorder comprehensive taxonomy validated in delphi surveys and a consensus meeting we will reevaluate psychological interventions for severe disorders through component network metaanalysis to identify the most beneficial ingredients and combinations for symptoms functioning and attrition outcomes we will reassess treatment personalization through a componentbased lens using individual patient data for psychosis finally we will develop an open clinical decision support system where users can assemble and dismantle interventions visualizing efficacy gain or loss the proposal is a systematic and reproducible approach to advance a perspective shift from treatment brands to active ingredients potentially upending psychotherapy research
synbio for compartmentalized carotenoids storage in diatoms

carotenoids prized for their antioxidant properties are essential precursors for crucial human vitamins and in plants and algae they play roles in light absorption and photoprotection against excessive lightinduced damage to photosynthesis however it is very challenging to achieve carotenoid market required yields carotenoids complex chemical synthesis in fact limits the possibility to obtain them artificially while in plants ie the main natural producers excessive carotenoids in chloroplasts can disrupt thylakoid membranes making biotechnological manipulation aimed to increase carotenoid yield particularly hardto address this problem a sustainable approach is crucial and microalgae offer a promising solution as natural scalable carotenoid producers a novel strategy involves repurposing cellular factories to overcome chloroplast limitations for carotenoid biosynthesis and accumulation diatoms like phaeodactylum tricornutum are ideal candidates due to their multiple cellular compartments including the periplastidial compartment ppc suitable for carotenoid storage and access to precursors synthesized through various cellular pathwaysmoreover diatoms excel as synthetic biology platforms with efficient genetic tools modular dna assembly and genome editing capabilitiesthe sorted project aims to advance understanding through a multifaceted approach firstly we will investigate prenyltransferases ptss in p tricornutums cytosol to unveil their role in carotenoid precursor synthesis objective 1 subsequently rational redesign will enable the extraplastidial relocation of the carotenoid biosynthetic pathway objective 2 furthermore we will assess the physiological implications of genetic modifications on performance objective 3 through sorted we anticipate gaining innovative insights into diatom carotenoid production revolutionizing both biotechnology and our fundamental understanding of cellular dynamics
inorbit services to satellites operators

infinite orbits is shaping the new market for space infrastructures by providing services to repair maintain or protect spacecraft in orbit the immediate commercial application of such services is to maintain and extend the lifetime of satellites particularly geostationary ones given their valueendurance is a life extension service satellite to perform rendezvous and docking operations for endoflife geostationary telecommunications satellites a baseline study has been completed for the identified cases and a firm order for the preliminary design project is expected before the end of 2021 the first minimum viable product of our service orbitguard without docking capacity is expected to achieve commercial flight in orbit by december 2022 the demonstrator of our full servicer for life extension is expected in early 2025 in the endurance project
a datadriven remanufacturing process for sheet metal and thermoplastic composites

the compass project is driven by the needs to on the one hand increase the efficiency of recycling and remanufacturing processes for sheet metal parts and on the other hand by the need to find a solution for large quantities of thermoplastic fibrereinforced components at their end of life in both cases the proposed approach is to take a shortcut by remanufacturing the components at the level of sheet metal and composite panels instead of converting them to secondary raw material this will be achieved through thermoforming processes that allow the reshaping of parts and components to give them a second and third life these remanufacturing processes will be supported by a set of digital tools that build upon a digital component passport the tools will enable efficient dismantling processes to extract sheets or panels eg from an aircraft and will help to collect relevant information about the components during their lifetime the main use cases are from the aerospace and automotive sector and include key actors along the value chain by using digital information about defects rework or repair done during the lifetime of the components the quality of the resulting remanufactured output parts will be optimized a remanufacturing process planning software will also optimize the match between input components and targeted output partsthe compass project will initiate more than 6m of private investments in technology development and implementation of remanufacturing process in the use cases investigated in the project the overall goal is to enable the remanufacturing of about 30 of sheet metal parts and thermoplastic composite panels
earthworm peristalsis in realtime human mri to study the interwoven frequency microstructural properties

earthworm will develop a new paradigm of adaptive and focused comprehensive magnetic resonance imaging mri techniques to study peristaltic motion and the underlying microstructure throughout the human bodyperistaltic motion is responsible for multiple key functions in the human body such as food transport through the gastrointestinal system the rapid and directed sperm transport and embryo implantation and retrograde menstruation for the preservation of body iron alterations are linked to the pathophysiology of diseases such as adenomyosis crohns disease endometriosis and parkinsons disease among many others which together affect 10 of eu citizens the underlying process requires a complex cascade of events which can be disrupted by a range of factors from interrupted neuronal activity to altered biochemistry to changes in the interwoven layers of muscle fibres and connective tissue resulting in hyper and hypomotility of the involved organs similarly changes in motility are associated with resulting microstructural damagedespite the undisputed importance current imaging techniques focus on suppressing or altering peristalsis through unphysiological preparations to make ongoing human life comply with the needs of the assessment techniques the confluence of novel lower field mri scanners realtime endtoend ai methods external mrcompatible sensors and efficient multicontrast techniques allows me to develop a new paradigm to study the link between the microstructure and motility patterns in the abdomen and pelvis replacing rigid predefined examinations by a continuous running mr acquisition adapting to the ongoing life provides novel eloquent information paving the way for enhanced diagnosis and bespoke datadriven nonlinear continuum dynamic modelling approaches to reveal signatures of disease and to interconnect previously disjoint observations two embedded clinical pilot studies will facilitate immediate translation
satelliteenabled interoperable system ensuring govsatcom services reliability optimal traffic management security and longterm availability for eu and national public authorities

in the recent years satellite communication gained significant momentum in ensuring global connectivity and reliable communication for defence security humanitarian and emergency response the eu govsatcom initiative paves the way towards a new satcom solution for a broad range of eu and national entities to improve the govsatcom capabilities and provide end to end security and interoperability between satcom services and with the terrestrial communications networks the sigma project proposes the development and demonstration of a technical solution incorporating pooled and shared capacities from different satellite systems the proposed sigma technical solution aims to integrate satcomonthemove operating in xband military kaband and civil kaband with 5g user equipment to the terrestrial networks the integration and routing of the traffic will be managed by a traffic management software and a softwaredefined wide area network router endtoend security is provided by an encryption module that incorporates advanced encryption standard algorithm demonstrations of the new solution in a real user environment will be conducted in 3 use cases specified by national agencies end users in 3 different eu countries specificallyin luxembourg with corps grandducal dincendie simulating emergency response to flooding situationin germany with university of bundeswehr munich and the german armed forces responding to search rescue operations in isolated areasin france with service dpartamental dincendie et de secours responding to a terrestrial network outage during a culturalsporting eventthe consortium which includes 5 companies and a research centre from 4 different countries will also allocate considerable effort into the dissemination exploitation and communication activities to pave the way for taking the results of sigma to the market in the shorter possible term
aicentric server on chip for increasing complexity and scale of ai inference applications enabling the scale of reallife ai applications

ai holds immense promise across a wide range of applications however putting ai to work at scale remains a challenge the main problem with implementing scalable ai deployment is that the current ai inference architecture is unsuitable for performing hyperscale computations due to complexity of deployment and total cost of ownership new ai computing architecture is needed to enable the deployment of ai applications to realize its complete potential neureality has developed nr1 an innovative serveronachip solution in an ai centric architecture and nr1 sdk to facilitate the deployment of ai at scale the unique architecture allows aioptimized simplified and democratized infrastructure with cost power and performance optimization of access to ai computing resources thereby enabling the deployment of ai inference during the eic project neureality will finalise the development of nr1 and validate the optimized chip in operational settings for further commercialisation
seamless shared urban mobility

the objective of sum is to transform current mobility networks towards innovative and novel shared mobility systems nsm integrated with public transport pt in more than 15 european cities by 2026 reaching 30 by 2030 intermodality interconnectivity sustainability safety and resilience are at the core of this innovation the outcomes of the project offer affordable and reliable solutions considering the needs of all stakeholders such as end users private companies public urban authorities sum project will develop five pillars consisting of technological cocreation and policy tools to tackle the identified nsm barriers for a typical carfocused family these five pillars can increase the modal share of nsm via targeted pushpull measures and policy recommendations sum will introduce a federation of solutions including prediction scheduling integrated nsmpt ticketing and realtime nsm management this created ecosystem will reduce the total doortodoor travel times using integrated nsmpt this can change the behavior of 34 of travelers using cars and 17 of travelers sceptic about using nsm the partners in this diverse consortium have access to innovative tools and expertise making them uniquely positioned to tackle the barriers in 9 living labs and 30 organizations across europe
towards the leading constant in stacky manins conjecture

abstract manins conjecture is a famous conjecture in arithmetic geometry predicting asymptotically the number of rational points of bounded height on fano varieties in a breaking recent advance the researcher and yasuda have dardayasudaextended it to stacks which explains malles conjecture on the number of galois extensions with fixed galois group of bounded discriminant the leading constant in the asymptotic formula however remains unknown a reason for this is that we still have very little verified examples of stacky manins conjecture in this proposal we identify a class of stacks for which the conjecture seems to be approachable namely the class of smooth complete intersections in weighted projective stacks which enjoys rich geometric properties we then plan to analyze the obtained constant compare it with existing examples to guess the shape in the general case
deconstructing the protective immunity of yellow fever virus 17d to inform flavivirus vaccine design

while endemic to the tropics flaviviruses like zika dengue west nile or yellow fever virus are reemerging pathogens of global health concern climate change and urbanization have largely contributed to the dissemination of their mosquito vector and europe has in recent years been regularly confronted with autochthonous cases few vaccines are licensed to prevent flavivirus disease but the yellow fever 17d yf17d vaccine has a unique track record of efficiency and safety intriguingly despite its success how yf17d induces immunity remains poorly understood the yellow4flavi consortium aims to fill the gaps in our understanding of the mechanism of action of this vaccine by linking the structure of the viral particle to the resulting host immune response in order to learn about optimal vaccine design for flaviviruses in general since social acceptance of vaccines is critical for their success we will also develop optimal communication methods this will provide us with the tools to tailor vaccine design not only to achieve optimal immune protection but also to facilitate actual implementationwe are molecular and structural virologists cell biologists immunologists computational scientists clinicians and social scientists assembled in a tight collaborative network to pursue our goal of obtaining a blueprint for determinants of longlasting immunity for flavivirus vaccine candidates we will use cuttingedge technologies like cryoem super resolution microscopy spatial transcriptomics highdimensional spectral flow cytometry singlecell rna sequencing advanced cell engineering small animal models and clinical studies in a unique manner the consortium thereby follows a thread of events from the early response at the site of vaccine injection to the population perception of vaccination harnessing an enhanced understanding of one of the most successful vaccines of mankind for the development of novel lines of defense against new and old threats
increasing the efficiency sustainability and lifecycles of battery systems through advanced modulelevel power electronics

the eu has targeted renewable energy shares of 32 and a 50 reduction in ghg emissions by 2030 which has to lead to an exponential growth in the demand for battery energy storage systems bess without suitable reuse technologies for old batteries 95 of all endoflife battery systems will be disposed of and the eu will accumulate 250k tonnes of waste by 2025stabl has developed and patented smart battery a disruptive innovation that allows the modulelevel control of bess through novel inverter hardware and smart algorithms this approach enables the lifecycle extension of batteries by up to 15 years as well as efficiency increases deep battery analytics remote operation and performance predictions while cost savings reach 90with a 12bn business opportunity in the inverter markets this project is critical to accelerating stabls development work and we expect to significantly contribute to the eus green deal targets and sustainable energy infrastructure
pyrimidine de novo synthesis in tumor endothelium an overlooked target

it sounds simple a cell cannot divide without nucleotides indeed the disruption of pyrimidine de novo synthesis pdns efficiently blocks proliferation of cancer cells yet still today pdnsdirected anticancer treatment has not entered clinics due to the lack of efficacy why cancer cells gain pyrimidines via pdns or from salvage pathways and pdns inhibition in cancer cells can likely be bypassed by pyrimidines produced in the tumor environment or gained from the systemic circulation can we target this microenvironmental interaction to improve treatment efficacy a crucial component of tumor environment are blood vessels tumors stimulate their growth angiogenesis to gain oxygen and nutrients metabolism of endothelial cells ecs the inner vessel lining is rewired in tumors and tumor ecs upregulate pdns however whether and how elevated pdns in ecs supports tumorigenesis is unknown i hypothesize that pdns in ecs affects tumor environment either directly by providing pyrimidines to cancer cells or indirectly by stimulating angiogenesis making systemic resources more accessible to cancer cells the central goals of this project are i to identify the metabolic communication of ecs with other cell types in tumors ii asses if endothelial pdns promotes angiogenesis and iii to seek novel metabolic targets in ecs whose inhibition improves efficacy of pdns inhibitors in vivo to reach these goals i will use an inducible mouse model to selectively disable pdns in the endothelium with this unique tool available at my host institute i will integrate a stateoftheart multiomics and my expertise in metabolism to disentangle the network of metabolic communication using a powerful combination of spatially resolved single cell transcriptomics metabolomics and functional genomics my innovative approach will open a way for understanding the ec contribution to metabolic balance in tumors with a potential to identify new metabolic anticancer strategies