Dragon09/odtu_chatbot huggingface dataset:
advanced space cloud for european net zero emissions and data sovereignty

this proposal introduces a pioneering new onorbit services system concept which would rapidly industrialize the european space ecosystem making europe a world leader in robotized and sustainable modular infrastructures as well as reusable launchers with additional competitive benefits for a sustainable european digital industry and sovereign cloud autonomyeuropean space technology has now reached a level of maturity that makes possible a revolutionary yet feasible endeavour the installation of internet data centres in orbit in order to reduce the exponential impact of digital technology on energy consumption and on climate warming the installation of large modular space infrastructures with robotic assembly megawatt level spacebased solar power high throughput optical communications low cost and reusable launchers is now within the european space industrys capabilitythe goal of the proposed study is to demonstrate that placing future data centre capacity in orbit using solar energy outside the earths atmosphere will substantially lower the carbon footprint of digitalization space data centres could therefore become an active contributor to the ec green deal objective of carbon neutrality by 2050 which would justify the investment required to develop and install such a large space infrastructure system it would also strengthen europes digital sovereignty and autonomy for a sustainable and prosperous digital futuregiven the ambition and huge potential impact of this project which would become a major european flagship program a broad systemlevel feasibility and business study is necessary for that purpose the ascend consortium has brought together major players in the fields of environment analysis carbone 4 vito data centres architecture hardware and software orange cloudferro hpe space systems development thales alenia space airbus dlr and access to space arianegroup
voice communication sciences

with aidriven advances the rapidly developing field of voice technology vt has transformed european life through voice assistants texttospeech systems and cochlear implants however severe challenges remain in processing paralinguistic information such as identity emotional state or health in voices the voice communication sciences vocs project is an ambitious initiative to address these challenges and advance europes position at the forefront of vt vocs aims to train a new generation of scientists with interdisciplinary expertise in voice communication sciences the project gathers a consortium of 21 academic and nonacademic partners across 12 countries collaborating to provide a worldclass trainingbyresearch program the primary goal is to equip 17 doctoral candidates dcs with integrated knowledge spanning cognitive neuroscience acoustics phonetics and computing science via a unique combination of handson research training in labs with crosssectorial workshops in fundamental technological and clinical domains relevant to voice communication the projects innovative aspects lie in its comprehensive approach to voice processing bridging disciplines from neuroscience to engineering the vocs research program is structured around three scientific objectives 1 advancing basic knowledge of natural voice processing exploring paralinguistic information in voices 2 building on these insights to design more natural and flexible synthetic voices 3 transferring this knowledge into useroriented applications in health and forensics including the improvement of voice perception for hearingimpaired individuals advancements in forensic speaker comparison methods and the development of tools to combat deepfake speech vocs aims to contribute not only to scientific knowledge but also to the exponential growth of the vt industry by creating a network of skilled experts shaping the future of vt in europe
emulation of wireless communication among chiplets inside a computing system

domain specialisation eg ai coupled with skyrocketing manufacturing costs of chips led to a paradigm shift towards chipletbased computing however the current networkonpackage nop is not suited for the increasing chiplet cpus ai accelerators etc count and diverse communication needs as a result communication has become the main bottleneck to computing advanceswireless transmission can enable onehop communication with low latency parallelism the wireless links can be reconfigured dynamically for demandspecific services finally the native broadcast capability of wireless transmission will provide natural support for scalability however wireless communication is limited by the bandwidth hence the erc starting grant winc explored via simulation combining wireless communication with the high bandwidth of wired connections proving potential for 5 speedupsin ewic we aim for the first time to emulate and demonstrate wireless communication among chiplets inside a computing system the goal is to experimentally validate our simulation results which have shown high speedups in multichiplet systems successful results will generate interest in the industry for further research and application in various domains such speeding up computation in pharma for new drug design ewic will thus help fully realise the trillioneuro potential of advanced computing alongside immense social benefits and establishing eu leadership in this fieldthe ewic project will thus assess the commercialization potential of our technology engaging with key stakeholders such as chipmakers and endusers exploitation options including licensing startup creation or joint ventures will be explored based on prototyping results and market entry considerations our ipr strategy will involve a thorough analysis to identify and protect the novel results of the project we will additionally carry out a freedom to operate fto analysis to ensure exploitability
realtime multispectral imaging for accurate detection of cancerous tissue in endoscopic surgery

cancer is the leading cause of death in the eu with 27m diagnoses and 13m deaths in 2020 effective removal of cancerous tissue through endoscopic surgery is challenging because of limited visual and absent tactile information along the limitations of current imaging technologies which make it difficult for surgeons to differentiate between different types of tissue for this market thericon is developing an rmsi realtime multispectral imaging platform providing surgeons with multiparametric images that help with effective removal of cancerous tissue and reduction of cancer recurrence in patients the company has developed a prototype for its first product named rmsi 2 and completed initial validation for bladder cancer applications thericon is asking for a 25m eic grant and 55m equity funding to complete clinical application pilots safety tests and ce certification for this product getting it ready for market launch in 2024
whitelabel shop for digital intelligent assistance and humanai collaboration in manufacturing

wasabi aims at providing smes with the tools and knowledge to improve workers capacities and performance providing advanced user interfaces for continuous augmented hybriddecisionmaking such interfaces assist employees in interacting with complex software effectively reducing its skill floor in consequence humans will find using software easier and be more open to applying it effectively at work wasabis advanced interfaces will cover for instance situation analysis intervention identification action planning and execution and impact monitoring and mitigation one of the key technologies in wasabis solution portfolio is the digital intelligent assistant dia an anthropomorphic taskoriented ai with a conversational interface a network of dihs that will help boosting impact by guiding smes in this new path will be created and integrated within other existing dih networks our customized federated whitelabel shop will include such dias and skillpackages to help organizations reach their sustainability goals bluecollar and whitecollar workers will be capable of using it for handsfree or eyesfree computerinteraction aibased advice and guidance and augmented analytics
civil engineering and geomatics innovative research on heritage

engineer proposal aims to enhance the department of civil engineering and geomatics of the cyprus university of technology cut research and innovation potentials through coordination and support actions provided by the twinning call build upon its unique character as the single university department of the country where civil and geomatics engineers come together the twinning project will fulfil and extend interdepartmental research activities in cultural heritage chsmart specialisation strategy of cyprus s3cy was designed to pave the wave for future sustainable development of the country capitalising on its unique characteristics and research ecosystem s3cys final report puts ch at the heart of the countrys future development as a horizontal pillar whereas other disciplines such as tourism the main economic revenue stream of the country and ict can interact the proposal visions to fill research gaps push and extend knowledge into new innovative fields dealing with the monitoring digitisation visualization and preservation of ch assisting towards their protection promotion and safeguardingfor this vision cut has aligned forces with three leading institutions of europe namely the polytechnic university of milan polimi the university college of london ucl and the university of aveiro uaveiro the leading teams will work closely with the local team through targeting training research activities mobility actions networking and insitu pilot applications at the same time the leading institutions will advance research management administrative skills and promote industrial and knowledge transfer thus reforming the departments ri system the participation of the eratosthenes centre of excellence ecoe will multiply the potential impact of the project creating strong links with partners of the quadruple helix of the smart specialization and will support commercialization and marketed aspects
accelerating energyefficient atmospheric carbon capture technologies

the ipcc and the eu recognize the importance of co2 removal from the atmosphere to achieve their climateneutrality objectives and limit global warming to 15c airinmotion provides an efficient and sustainable technology that captures co2 from air it operates independently of location as standalone units or integrated in industrial processes utilising lowgrade heat it uses stateoftheart adsorbents that are abundant cheap and nontoxic and which are regenerated during continuous capture and release cycles the technology is modular whereby larger capture plants are composed of multiple synchronised units that use central auxiliary components industrial integration facilitates co2 capture at scale and results in highquality co2 that can be used as a feedstock for the production of valuable products in a circular carbon economyairinmotion offers an opportunity to addresses industries whose indirect emissions in the supply chain cannot be removed at source achieving significant emission reductions through remediation where this was not previously possible or has not been addressed by regulation or policy requirements its characteristics enable airinmotion to be globally adoptable supporting europe and the wider global societies to meet their carbon emission targetsthis project will focus on three objectives 1 the demonstration of the effectiveness of the airinmotion technology at scale through the construction of industrial prototypes reaching trl6 2 the validation of the technology through the deployment of demonstrators in selected industries including airports the food industry and it data centres further deployment will demonstrate a fully circular system using lowgrade heat to provide researchgrade co2 which is insitu used as refrigerant 3 the development of commercialization and business strategies for a new spinout company which will progress the economic technological and societal impacts of the technology in the future
modular and expandable multilocus transcranial magnetic stimulation

we aim to develop and validate a versatile and affordable transcranial magnetic stimulation tms system that can perform adaptive and automated brain stimulation tms is performed routinely in thousands of hospitals worldwide for diagnostics eg to measure corticospinal excitability for presurgical planning to locate eloquent brain areas that should not be harmed and for treating severe depression and neuropathic pain unfortunately only about 50 of patients benefit from the treatment the treatments are also very timeconsumingcurrent tms protocols are userdependent nonpersonalized and stimulate only one brain target at a time furthermore target searches can take up to 10 minutes when only one cortical node is stimulated networks are difficult to modulate therefore we need stimulus sequences that activate precise cortical nodes in specific networks involved in different disorders such as depression addiction or neuropathic pain this can be done with socalled multilocus tms mtms which we have developed in the ongoing erc synergy project connecttobrain but the barrier to users purchasing mtms is often the high costin this project we will introduce a minimum viable prototype an affordable 3channel entry system for mtms that enables efficient clinical protocols provides operator independence and saves time in patient care with the potential to improve the clinical outcome we aim to demonstrate the viability and value of this 3channel device which can later be expanded to a larger one simply by adding electronic modules and new coil sets we intend to demonstrate the speeding up of motor cortex hotspot search by a factor of 510 and to show experimentally that the new multilocus technology will markedly improve the efficacy of inducing plastic changes in the target network
postauthoritarian norms and the ideological legacy of dictatorships

why have once successful leftwing parties in poland nearly died out by 2015 grzymalabusse 2019 why has portugal been one of the last countries in western europe to see a radical right party in the national parliament why are rightwing individuals more likely to protest in eastern europe than leftwing individuals kostelka and rovny 2019 postnorm proposes a theory postulating that these seemingly unrelated patterns are the product of a single process the rejection of the ideological brand of the past authoritarian regime through novel survey experiments postnorm will examine how in new democracies the ideological associations with the old regime serve as a focal point for norms that govern what are appropriate political positions for voters and parties in democracies following leftrightwing dictatorship voters and political elites avoid associating themselves with the leftright respectively postnorm further derives a set of testable expectations about how this bias shapes both the demand and the supply side of party competition the bias colors citizens ideological preferences perceptions about parties stances in these issues national identity political discussions the supply of new parties posttransition party names and programmatic stances and party elite discourse postnorm will deliver a parsimonious new theory that will help make sense of heterogeneity in political competition across new democracies
fast automated droplet tracking tool for microfluidics

microfluidics technology targets droplet manipulation by confining fluids to manufacture materials for many industrial applications and life sciences data analysis obtained by microfluidic experiments remains a bottleneck to this day due to the lack of a reliable interface converting raw observations to informative data fast enough and at low operating costs many computer vision tools exist which permit to infer useful physical information from video data but they typically target specific physical systems and lack broad applicability moreover the existing tools need intensive development and finetuning before they can be useful in a specific scenario thus such a lack of computer vision tools with broad applicability hinders the penetration of this technology for extensive microfluidics applicationsthis poc aims to develop a standalone easytouse software droptrack that can detect and track individual droplets from experimental videos two cuttingedge deeplearning algorithms yolo for droplet detection and deepsort for droplet tracking will be at the softwares core droptrack will provide trajectories of the individual droplets and measure physical quantities of interest such as the droplet numbers flow rates packing fraction etc by analyzing videos from experiments our preliminary work indicates that droptrack is capable of analyzing images much faster than the image capture rate of a typical digital camera thereby opening entirely new prospects for realtime feedback control in experiments the realization of droptrack will lead to dramatic time and resources savings in video data analysis of deformable moving objects in microfluidics beyond this poc the successful demonstration of this technology in microfluidics is expected to attract significant attention as a handy data analysis tool in other relevant fields such as multiorganism biological systems from cell aggregates to animal congregation
hydrogen embrittlement mitigation through layered diffusion patterns in metals

hydrogen embrittlement he of metallic materials is one of the main challenges for the adoption of green h2 as a clean fuel degradation of pipelines and vessels is nowadays avoided by conservative design and material selection but novel mitigation strategies for hydrogen embrittlement will foster costeffective technologiesi envisage an additive manufacturing strategy to tune hydrogen diffusion as an effective and novel method to mitigate or even supress he the success of this framework requires the reconsideration of modelling and experimental techniques to characterise hydrogen transport and embrittlement in metals my background on computational mechanics hydrogen diffusion simulation and laser powder bed fusion lpbf will guide the approach whereas the methodology will be enriched by innovative phase tailoring strategies and advanced computational and optimisation procedures tailoring hydrogen diffusion in steels will be accomplished by exploiting the enormous difference in diffusivity between fcc and bcc iron phases duplex stainless steels dss that combine austenite fcc and ferrite bcc phases are thus considered as a first option to tune diffusion paths additionally localized nitrogen evaporation to directly control fcc or bcc formation during microlpbf of high nitrogen steels hns will be achieved by local variation of laser parameters the main goal is to protect critical regions and therefore to supress hydrogenassisted cracking to produce shielding effects around stress concentrators bccfcc helmets will be optimised by coupled modelling frameworks including hydrogen transport and fracture trapping and multiphase diffusion will be assessed by novel modelling procedures from thermal desorption and permeation experimental results finally the effectiveness of the optimised tailored helmets will be evaluated by insitu testing in gaseous h2 paving the way for resistant components to transport and store highpressure hydrogen
upcycling and recycling of wastes towards greener and resilient road pavements

every day about 4 millions of kilometres of asphalt pavements along the european road network allow the transportation of more than 70 of total passengers and goods the continuous maintenance and expansion of the road infrastructures are key factors for the socioeconomic growth and welfare of the european countries nonetheless existing pavements represent a source of valuable materials ie recycled aggregates and bitumen that adequately exploited would allow the maintenance and new construction of roads in a circular economy perspective the general yet necessary impetus of applying the green transition of industrial sectors also pervades the paving industry thus it is urgent to make this sector less dependent on nonrenewable resources as well as less energydemanding to face environmental concerns uptorepave proposes the development of innovative road binders formulated with biobased wastes that can be used with reclaimed asphalt pavement for the production of highly recycled lowenergy paving materials the developed materials will contribute to the gradual transition of the sector towards its complete restructuring in a carbon neutral vision sustainable paving materials produced at low temperatures low ghgs will be targeted while fully exploit advantages and compensate drawbacks given by the use of each selected material their combination and their interaction with the recycled aggregates the fellow will be supervised by renowned experts from the university of texas at austin delft university of technology and university of bologna working on innovative pavements and sustainable materials the multidisciplinary project will let the fellow acquire cuttingedge expertise and skills including soft ones improving her background on the chemomechanical analysis of road materials the envisaged challenge of producing greener materials for a cleaner industry will be spread beyond the project duration in the academic and industrial fields
switchingcellarraybased power electronics conversion for future electric vehicles

in power electronics the traditional design approach of power converters involves a range of power semiconductor devices with different ratings optimized to operate at different conditions where different suitable ancillary circuitry and power circuit topologies are also required this dispersion in power devices and circuits leads to significant engineering efforts the inability to take full advantage from scale economies to reduce costs and the inability to concentrate efforts to improve performance in the electric vehicle ev market this is translated to a lack of standardization on the ev power conversion system designs across the different models and types of vehicles available meaning that nowadays ev oems invest billions of euros to develop their own solutionsscape aims at achieving three main objectives i propose a standardisable modular and scalable approach based on multilevel technology for the design of the ev power conversion systems ii develop highlycompact and integrated buildingblock implementation iii propose intelligent modulation and control strategies online diagnosis and digital twin for predictive maintenance with machine learning reaching these objectives will enable reducing the cost of the ev power electronics thanks to scale economies improving its performance features reliability efficiency power density etc and enabling advanced functionalitiesthis will allow satisfying the users needs increase the acceptance and affordability of zeroemission vehicles reduce greenhouse gasses emission and enable a fullmarket penetration of the ev having this approach adopted by eu automotive manufacturers will allow creating a costefficient production chain in the eu based on economies of scale and advanced integration technologies as a competitive advantage against other manufacturers