Dragon09/odtu_chatbot huggingface dataset:
hybrid extended reality

hybrid extended reality heat is born to pave the way for the nextgeneration distributed experiences by addressing major challenges to make those experiences that up to now could only be in our imagination being realistically immersed holoported within real captured omnidirectional and navigable hyperrealistic 3d spaces feeling their atmosphere and sharing these experiences with others regardless of their location the aim of this proposal is to integrate immersive media technologies such as point cloudholographic imaging multisensorial media social vr in a multiuser feedbackenabled communication system to provide the construction of compelling contextaware and embodied experiences for innovative hybrid xr applications where remote users can experience a real captured environment through immersive vr while in presence users can visualise and interact with the holograms of remote users integrated in the real environment through holographic renderingthe system will aim at facilitating the exploitation of agile multisensory 3d data acquisition techniques enhancing performance while reducing technology costs it will create a scalable communication pipeline embodying either encapsulation of different media from classical audiovideo to multisensorial to holographic video or a combination of them providing means for efficient and scalable encoding processing storage realtime streaming and rendering in such a way the system will allow users to provideexploit the features according to the acquisitionrendering system availablethe project will provide well designed and fully tested scenarios in realworld environments for enhanced xr experiences a blended learning a modern theatre act a music festival and an opera show all pilot actions will ensure that gdpr and ethics are addressed for endusers privacy and ethics by design methodology
trafficking mechanisms and physiological factors mediating a direct gut microbiotabrain neuron interaction

the gutbrain axis has emerged as a complex regulator of systemwide physiology playing essential roles to maintain homeostasis including contributions to brain development and activity affecting host metabolism and behavior the gut bacterial composition constantly fluctuates allowing for the regular release of diverse microbederived compounds into the bloodstream although it is known that many gutbacterial metabolites affect distant organs such as the brain their direct interaction with brain neurons is rarely demonstrated the impact of microbial metabolites on brain mechanisms are generally thought to be indirect due to interaction with for example the immune system or the vagus nerve however my previous work has shown that microbederived muropeptides reach the brain and decrease the spontaneous activity of brain neurons that express the nod2 receptor remarkably this direct interaction affected appetite and thermoregulation in a sex and agedependent fashion nevertheless to further understand these direct interactions some questions still need to be addressed how does this compound reach the brain which factors may lead to this sex and agedependent neuronal activation are there other neuroactive bacterial compounds directly affecting brain neurons therefore using interdisciplinary approaches i propose to 1 unravel gutbrain trafficking mechanisms 2 define physiological factors eg hormones that shape this microbeneuron interaction and 3 describe new bacterial compounds that affect hypothalamic circuits and their downstream effects this proposal will expose novel aspects of hostmicrobe interactions leading to a more complete and integrated understanding of bacterial influence on hosts essential functions it may also lead to new therapeutic approaches for neurological disorders that exhibit specific sex prevalence and where the microbiota is a factor in disease susceptibility such as alzheimers and parkinsons diseases
researchers in action for inclusion in science and education

researchers in action for inclusion in science and education raise aims to reach members of society that continue to be left out or feel detached from science it is built around an original concept of cocreation that will harmoniously blend the european researchers nights erns activities with the researchers at school ras activities making the ern feel like a continuum of the ras programmes towards this end raise is structured around two science outreach and education ras programmes named cientista regressa escola and cincia di noz manera that will target close to 2500 underserved andor underprivileged school students and two editions of the ern that will be held at the outstanding champalimaud centre for the unknown ccu and livestreamed reaching an additional 3000 people in portugal and through portuguese as well as other relevant languages working at the national level our original approach will result in erns programmes that are immersive experiences cocreated by the researchers and the public rather than designed and delivered by the researchers for the public thanks to the evidencebased methodologies that will be applied and our culturally responsive coproduction approach sustained collaborations and partnerships between european or europebased researchers and school students teachers artists and members of the public at large will be created contributing to a more inclusive and diverse landscape in science and education and a more scientifically literate society in portugal importantly raises activities will be developed around the motto raise for wellbeing raise for social impact and they will be connected to all the five eu missions through the ras programmes and specifically to the mission on cancer at the erns
engineering the origin of human shape defining patterns and axes in the early stage of 3d pluripotency

how an organism takes shape is a longstanding challenhow an organism takes shape is a longstanding challenge in modern biology and medicine understanding how during the 3d embryo development different molecular players such as genetic programs morphogens and forces work together to build the shape of the body is still far to be understood especially for humans in recent years some progress has been made to understand the inaccessible state of human development through models of human embryos derived from pluripotent stem cells although they brought very exciting findings this approach failed in reconstructing the dynamic of the proper axes formation and 3d spatially ordered structure of tissues orisha will provide a groundbreaking technology to control over time and space the early stage of human shaping by modulating in an in vitro model the biochemical and biophysical properties of the microenvironment i will develop a hydrogelmicrofluidic system to accurately and dynamically deliver liquid instructive signals coupled with 3d shapecontrolled organoid technology to guide the geometry during morphogenesis and recapitulate the very early and inaccessible stages of human embryo development with this technological approach i will instruct gradients of signalling molecules by imposing morphogens into the targeted tissues with unprecedented temporal and spatial resolution to demonstrate the unique potential of this approach i will focus my interest on the development and morphogenesis of the neural tube that is the primordium of the central nervous system thanks to my cuttingedge approach for the first time i will have the opportunity to investigate the correlation between the spatiotemporal dynamics and the 3d tissue patterning and selforganization during human embryonic development the proposed project has the potential to become the new goldstandard for in vitro human developmental modelling completely overcoming the need of human embryos
paracrine signalling in alpha cells and the integration of mechanisms that control glucagon secretion

diabetes is a common disease affecting millions of patients worldvide the disease is characterised by hyperglycaemia caused by reduced insulin signalling and release recent findings suggest that the hormone glucagon also plays a critical role glucagon is a counteregulatory hormone released form alpha cells in pancreatic islets to increase hepatic glucose production diabetic and obese patients suffer from hyperglucagonaemia which leads to inappropriate hepatic glucose production glucagon secretion is regulated by intrinsic and paracrine mechanisms the intrinsic regulation rely on the effect of glucose on metabolism and the paracrine on secretion of hormones from neighbouring beta and delta cells paracrine signalling form insulin and somatostatin inhibits glucagon secretion through activation of protein kinase b and inhibition of protein kinase a leading to lower electrical and exocytotic activity both kinases regulate transcription and metabolism in other tissues i suggest that paracrine signalling also affect alpha cell metabolism to regulate glucagon secretion my recent work show that alpha cells rely on fatty acids for atp production and that the mechanism by which glucose inhibits glucagon secretion requires glucose to lower fatty acid oxidation in this project i will 1 investigate whether insulin and somatostatin signalling regulate metabolism and atp production in alpha cells 2 identify the underlying kinase signalling and 3 explore the role of hyperglucagonaemia in diabetes to understand the effect of insulin and somatostatin on alpha cell function and glucagon secretion i will use dynamic measurements of kinase signalling atp levels membrane potential and calcium in mouse and human islets combining this with genetically modified animal models we will have the unique opportunity to study if dysfunction of both paracrine and intrinsic regulation of glucagon secretion is required for the development of hyperglucagonaemia in diabetes
interoperable solutions to streamline ped evolution and crosssectoral integration

the pinnacle of community driven urban energy transition are positive energy districts ped they improve energy efficiency integrate local renewables and excess heat more effectively and enable interaction with the energy and nonenergy sectors like mobility ict and industrya crucial and often neglected complication is that peds are in constant evolution this is due to everevolving changes in their environment social context legislation energy market increased electric vehicles etc as such there is a strong analogy with the theory of evolution although the dna between peds varies the implementation and evolution of different peds is not a process of chance the environment determines the probability of success in the urban energy transitionthe pedvolution project paves the way for crosssectoral integration of everevolving peds this over a duration of three years consisting of three consecutive phases analyse codevelop and demonstrate european pioneers in ped conceptualisation implementation and tool development will codevelop and implement seven interoperable solutions accommodating the constant evolution of peds 1 ped design and planning toolset 2 ped readiness assessment 3 dynamic decision support guideline for ped development 4 ped energy manager 5 data exchange integration and interoperability platform 6 ped business models 7 social innovation toolthese pedvolution solutions will evaluate and improve the ped readiness level according to the four genes of the ped genotype social technology interoperability and market these are influenced by their interaction within the ped and its environment ped phenotypeat least six reallife peds across europe will provide a demonstration and validation environment for the solutions paving the way for replication upscaling and mainstreaming
intensification of methane upgrading into ethylene via additive manufacturing of nanosecond pulsed plasma reactor

valorization of a greenhouse gas such as methane ch4 into valueadded ethylene c2h4 can be paramount to combat climate change and foster economic prosperity nonthermal plasma reactors running solely on renewable electricity can enable modular decentralized transformation of ch4 from natural gas or biogas in a sustainable fashionthe disch4rg3d project will develop a catalytic nanosecond pulsed discharge npd plasma reactor for singlepass upgrading of ch4 into c2h4 with energy requirement competitive with the stateoftheart industrial benchmark ie 600 kjmolc2h4 the reactor configuration entails a platetoplate plasma discharge for ch4 activation followed by a catalytic step where acetylene c2h2 hydrogenation into c2h4 enhances the process throughputthe energy input to the plasma discharge will be optimized with the help of an artificial neural network which will relate the operating parameters to the energy performance of the reactor the catalytic reaction following the plasma dischargeactivation will be performed by a bimetallic hydrogenation catalyst deposited on a 3dprinted periodic open cell structure pocs which also serves as ground electrode heat integration between the plasma zone and the catalytic region allows operation without external heating thus increasing the energy efficiency of the system the catalyst composition can be tuned separately to intensify the c2h2 conversion into c2h4 whilst computeraided design of the pocs can target optimal heat exchange the same integration approach will be used for the direct conversion of a biogas stream of ch4 and co2 into syngas to showcase the versatility of the system that can represent a blueprint for modular catalytic plasma reactorsultimately technoeconomic analysis tea and life cylce assessment lca will be conducted to compare the proposed process with the fossil fuelbased industrial benchamk hence to appraise its industrial feasibility
interpretable artificial intelligence across scales for nextgeneration cancer prognostics

computation pathology has the potential to revolutionize cancer care and research specifically through improving assessment of patient prognosis and treatment selection by applying advanced machine learning methods to digitized tissue sections ie wholeslide images wsis this will allow us to replace the current stateoftheart of humandeveloped cancer grading systems however the field is currently hindered by significant knowledge gaps we do not know how to effectively leverage both global and local information in wsis how to identify pancancer prognostic features and how to make machine learning models explainable and interpretable in this project i will address these key knowledge gaps by building on the novel stochastic streaming gradient descent developed in my group specifically i will integrate innovative multitask and crosstask learning algorithms with ssgd furthermore i will leverage the latest advances in selfsupervision selfattention and natural language processing to endow deep neural networks with unprecedented transparency and explainability last the project will validate our developed methodology in the largest dataset of oncological wsis in the world and for the first time identify links between morphological prognostic features and genetic features by publicly releasing all developed tools and data the proposed project will have a scientific multiplier effect for the fields of oncology computational pathology and machine learning specifically the derived cancerspecific and pancancer biomarkers can be leveraged in clinical care and cancer research the enhanced ssgd method for other tasks in computational pathology and our novel multitask and explainability algorithms can impact other research areas in machine learning such as remote sensing and selfdriving cars
de novo synthesis of a chloroplast genome in nicotiana tabacum

despite significant progress in chloroplast biotechnology the de novo synthesis of a chloroplast genome hasremained elusive the development of strategies to design assemble and transform artificial chloroplast genomeswould signify a stepchange in the field of plant synthetic biology only recently genome scale dna synthesisand sequencing has become routine providing an ideal foundation to revisit the challenge of chloroplast genomesynthesis i will join ralph bock a world leader in chloroplast biotechnology and combine the expertise of hislaboratory with my background in synthetic biology to generate the first nicotiana tabacum plant with an artificialchloroplast genome i will base my strategy on creating and testing multiple different genome designs with varieddegrees of structural and genetic code alterations in respect to the parental genome to identify viable designs iwill develop methods to assess those designs in parallel permitting the rapid identification and fixing ofproblematic regions in the synthetic genome i will proceed to assemble the verified chloroplast genomes in ahierarchical parallelized manner from large pieces of synthetic dna finally i will characterize the phenotype ofthe resulting plants focusing on understanding the changes in transcription translation and metabolism themethods developed in this work will provide insights into the design principles of organellar genomes and providea platform to reinvent and remodel the genetic code of chloroplasts this work will thereby establish strategies toreengineering complex cellular processes such as photosynthesis or to design entirely new functions such as thegenetic isolation of synthetic dna in plants
soil condition and capability mapping for sustainable forest management

the conservation and improvement of forest soil resources is essential for achieving the un sustainable development goals and the eu green deal policymakers and land managers need detailed information quantitative and spatially explicit on the effects of management strategies on soil condition and capability for supplying ecosystem services the rise of digital soil mapping dsm and integrative modelling approaches have brought powerful tools for generating datadriven knowledge that can guide the decisionmaking process selvans will implement an innovative dsm framework for assessing the effects of contemporary forest management on soil change expressed as biogeochemical processes and microbial functions the hypothesis is that the response of indicators of soil condition to management practices will differ by soil class depending on the biophysical environment inherent soil properties and the legacy of land use history furthermore selvans will investigate the links between anthropedogenesis and soil microbial functional diversity and its effects on carbon and nutrient cycling soil classes and the degree of anthropogenic pressures on soil will be generated using datamining algorithms environmental covariates time series of satellite imagery national forestry inventory data and legacy soil data soil condition will be characterized with a comprehensive set of physical chemical and biological soil properties eg soil organic carbon nutrients soil microbial diversity and functioning originating from completed and ongoing projects evaluating the functioning of forest soils selvans outputs will identify thresholds for decline in soil condition and risk of soil degradation with an impact for forest management and conservation of soil resources finally the capability of soils for delivering ecosystem services will be quantified applying the integrative modelling framework aries
digital twin for europe

the current international situation makes the process of energy transition more critical for europe than ever before it is a key requirement to increase the penetration of renewables while aiming at making the infrastructure more resilient and costeffective in this context digital twins dt build a key asset to facilitate all aspects of business and operational coordination for system operators and market parties it is of fundamental importance to now start a process of agreement at european level so not to develop isolated instances but a federated ecosystem of dt solutions each operator should be able to make its own implementation decisions while preserving and supporting interoperability and exchange with the remaining ecosystem exactly this is the vision of the twineu consortium enabling new technologies to foster an advanced concept of dt while determining the conditions for interoperability data and model exchanges through standard interfaces and open apis to external actors the envisioned dt will build the kernel of european data exchange supported by interfaces to the energy data space under development advanced modeling supported by ai tools and able to exploit high performance computing infrastructure will deliver an unprecedented capability to observe test and activate a paneuropean digital replica of the european energy infrastructurein this process reaching consensus is crucial the consortium therefore gathers an unprecedented number of actors committed to achieving this common goal the concepts developed by twineu span over 15 different european countries with a continuous coverage of the continental map demos will encompass key players at every level from transmission to distribution and market operators while also testing the coordinated crossarea data exchange the consortium also includes relevant industry players research institutions and associations with a clear record in developing innovative solutions for europe
screen embedded reading glasses a revolutionary optical technology that eliminates the need for reading glasses while using digital devices

our groundbreaking solution allows people who suffer of vision impairment to view sharply the screen of any device smartphone car display etc without using their glasses this among other uses can allow drivers to put their maximum focus on the road visionglass is flexible thin less than 05mm transparent foil applied to the display surface comprised of multi layers of tiny invisible microoptical elements that are used for imaging this solution will benefit millions of people suffering from presbyopia and it is possible thanks to our innovative optical technology image projection mla visionglass is a ipmla film consists of arrays mutually aligned in a very specific pattern between the positive and negative lenses to form multimla layers of microoptical elements that create an image at infinity at the users eye it is a revolution in the market of reading glasses
sustainable energy applications for green and lowimpact operation of smallscale fishing boats in the baltic and north sea basins

the project seaglow sustainable energy applications for green and lowimpact operation of smallscale fishing boats in the baltic and north sea basins will demonstrate the impact and potential of 5 different technological applications to reduce fossil fuel consumption and ghg emissions on small fishing boats in the north and baltic sea basins the project will focus on comparison of available technologies through the industrial partners of the project as well as work towards developing and improving the applied technologies through the data collection from the applied cases with the goal of decreasing the environmental impact of the vessels seaglow will collect sensor data from the case vessels to measure the impact of the applied application over time as well as look into potential combinations of the technologies which include hybrid electric drivetrains methanol powered engines durable polymerbased surface coatings preventing fouling reducing drag and improving engine performance to use of lowcost permanent sensors to influence sailing behaviour the technologies will be tested on vessels from 85 115 tons in full operational conditions on 4 vessels in denmark estonia norway and sweden