Dragon09/odtu_chatbot huggingface dataset:
continuous stratification for improved prevention treatment and rehabilitation of stroke patients using digital twins and ai

stateoftheart stratification today is based on machinelearning ml algorithms trained on large cohort data this has two main limitations a such mlmodels cannot use all the variety of different data that is generated about a patient b stratification is thus only done intermittently implying outdated and suboptimal care decisions to remedy this we herein present a new concept and technology continuous stratification using our new stratifai platform in continuous stratification all data generated about a patient is cumulatively stored in a personal data vault controlled by the patient these personal data continuously updates our worldunique digital twins the unique potential with our twins comes from the hybrid architecture combining mechanistic multiscale and multiorgan models with ml and bioinformatics this allows us to simulate patientspecific responses to changes in diet exercise and certain medications and see changes on both an intracellular organ and wholebody level ranging from seconds to years we also combine semantic harmonization with federated learning to securely retrain the various submodels when new data become available in one of the cohort databases in this project we will for the first time use this cuttingedge technology to connect a series of apps that together covers an entire patient journey using 6 new clinical studies involving 8 new partner hospitals we will both refine and validate the models and demonstrate how the same digital twin can follow a patient across different apps covering all phases of stroke from prevention to acute treatment and rehabilitation our scalable platform for continuous stratification forms the foundation for a new interconnected and patientcentric healthcare system
quantum technologies for axion dark matter search

the unresolved nature of the dark matter permeating our universe is one of the most pressing questions of modern science it is connected to our very understanding of reality at the most fundamental level the axion dm paradigm has recently emerged as one of the most compelling hypothesis to solve this question dark matter would be composed by very light and very feebly interacting axions thisparadigm is strongly motivated by theory and predicts a clear signal in terrestrial experiments called axion haloscopespioneering experiments have reached enough sensitivity to test some realistic axion models in limited mass ranges so far without a positive signal however there is still a large viable axion parameter space to be explored the methods used to date will be inefficient to perform such a challenging task here our darkquantum consortium proposes a new way of addressing this gap using quantum sensingtechnologies and hybrid quantum systemsspecifically we will combine quantum technologies and well established particle physics environments at cern or desy devoted to the detection of axions in the galactic halo building quantumenhanced setups in particle physics environments is extremely challenging and needs expertise from very different fields of physics our consortium brings together experts from quantum circuits verylow temperaturecryogenics quantum measurements and particle physics to build two quantumenhanced haloscopes with unprecedented sensitivity and mass scanning range the novel sensing strategies of the darkquantum project could lead to the experimental detection of axions for the first time such a fundamental discovery in connection with the longstanding dm problem would lead to a breakthrough in physics
development of an advanced airwayonachip model to investigate neuronal hypersensitivity in chronic cough

coughing is one of the most frequent reasons for physician appointments and chronic coughing affects one in every 10 people in europe it has severe consequences on the patients quality of life treatment options are limited because animal models do not accurately replicate the human disease the underlying mechanisms that trigger the onset of chronic coughing remain unclear and several promising drug candidates have failed in clinical testing human in vitro models could overcome these hurdles if all relevant cell types are integrated in the reveal project we will develop a comprehensive airway in vitro model to gain insight into the mechanisms underlying the onset and manifestation of neuronal hypersensitivity in chronic cough we will develop a novel airwayonachip that replicates the complex architecture of human airway tissue with innervation immunocompetence differentiated epithelium and perfusable vascularization using primary cells and ipscderived neurons the novel chip will facilitate highthroughput experiments disease models will be created using cells from chronic cough patients followed by the induction of inflammation we will investigate neuroimmune interactions that trigger neuronal hypersensitivity and use the chip for drug screening the reveal model will help to reduce the burden of chronic cough by offering a better understanding of neuronal hypersensitivity in the airways it will facilitate the development and testing of new drugs offer a tool for personalized medicine and provide a new approach methodology for risk assessment and toxicity testing this will support the 3r principles replacing and reducing animal testing in basic and applied research the anticipated outcome of this project will also have an impact on other highly prevalent chronic airway diseases by providing a platform technology to study conditions such as asthma and chronic obstructive pulmonary disease copd achieving a positive impact for many patients
working collaboratively on advances in projectorsfree flight simulators benefits for professional training of pilots by deployment of xr technologies

the interdisciplinary wrightbros next project is designed as an extension both in terms of the scope and the consortium composition of the collaborative factory of the flight simulators branch of rise which was funded under h2020 programme and successfully completed as a wrightbros project based on its results the new concept of research on projectorsfree flight simulators is proposed as an answer to challenges which occur when novel extended reality xr technologies are applied to professional training of pilots the goal of the new project is to develop innovative projectorsfree flight simulators by using various xr technologies and compare the influence on human perception of various xr technologies used in these projectorsfree flight simulators vs classical setup with projectorgenerated scenerythe wide range of visualization setups developed in a collaboration between the coordinator silesian university of technology sut poland flight simulators manufacturer virtual reality media vrm slovakia and software developer lg nexera nxr austria will be then tested by pilots during experimental sessions in virtual flight laboratory at sut in such sessions the pilots will wear mobile eeg device capturing data about the influence of a given display system used in the flight simulator on a cognitive load and other brain activities the assessment of the cognitive load as a measure of the mental effort required to complete a task will be made by sut scientists in an interdisciplinary collaboration with the researchers from psychology department of university of zadar uoz croatia the eeg signals will be also analyzed by secondees from dnipro university of technology dut ukraine hosted by sut specialists experienced in signal processing and machine learning the results will be used to predict realtime performance fatigue and stress levels of pilots testing particular xr visualization system used in the flight simulator
building blocks of human sociality a comparative assessment of joint action in humans and their closest ape relatives

many social animals collaborate but only humans supposedly engage in joint action cooperative interactions that involve normative mutually obligating joint commitments jcs this enabled the evolution of hypercooperation observed in human societies including complex collaborations like governments and has likely played a pivotal role in human evolution given the significance there has been a longstanding interest in the ontogenetic and evolutionary origins of joint action capacities like jc the classical approach employed experiments with human children and nonhuman great apes showing that while humans engage in joint actions apes interactions rely on egoistic motives however such tasks are highly anthropocentric involving engagement with human confederates in humancentric tasks conversely drawing on a more ecologically valid approach my research demonstrates that when apes interact with conspecifics naturally they appear to exhibit specific joint action capacities like jc yet firm conclusions cannot be drawn unless the following empirical issues are solved i behaviours do not permit insights into internal mechanisms ii comparative joint action research is still in its infancy lacking a holistic picture of affective and behavioural processes supporting coordination and iii previous ape studies are deficient of critical experimental controls building on and expanding my unique expertise in this domain this project overcomes these challenges by pioneering a comparative investigation of spontaneous joint action coordination in human children and bonobos using cuttingedge tracking and thermal imaging techniques as well as timely controls the project explores pivotal joint action signatures like communicative repair bodily synchrony and jcrelated emotions this offers a powerful assessment of the hypothesis that humans and apes share basic joint action capacities highlighting the evolutionary building blocks of human sociality
twinning for excellence in smart and resilient urban development advanced data analytics approach

the project aims to strengthen significantly the research capacity and scientific excellence at the faculty of economics university of ni feun by enhancing networking activities with poliedra polytechnic university of milan poliedra and oslo metropolitan university oslomet in the field of smart and resilient urban and regional development using stateoftheart data analytics and optimization tools in a datarich environment this is to be achieved through the following objectives enhancing the scientific capacity of feun by establishing a laboratory of land economy and urban analytics leua at feun where the researchers from poliedra and oslomet will perform training activities transfer knowledge and best practices conduct workshops and seminars aimed to include earlystage researchers and feun staff raising the research profile of feun staff through strengthening research experience and collaborative research and joint papers with researchers from leading european universities creating a longterm scientific strategy of feun for stepping up and stimulating scientific excellence in the field of smart and resilient urban development analysis using contemporary quantitative tools of data analytics enhancing career prospects for earlystage researchers through shortterm exchanges workshops seminars and summer schools with renowned researchers in the fieldstrengthening administrative and project management skills of staff at feun by establishing project management unit to deal exclusively with the preparation of project proposals administration and financial management of projectsthe project addresses the specific challenge of enhancing networking activities between a research institution from the widening country and two internationally leading european counterparts by strengthening the research management and administrative skills of the coordination institution from the wb country the project will help raise its research profile
cclaw the revolutionary nonintrusive mechanical fastener that facilitates life extension of existing infrastructures

civil engineering contributes to 15 of co2 emissions this is where cold pad brings a gamechanger with reliable and durable composite bonding fastening solutions after revolutionizing structural adhesive bonding techniques for the marine sector we now ambition to democratize our nonintrusive solutions for harsh industrial environments civil engineering and the hydrogen value chain our composite bonding fastening solutions facilitate structural works from the construction phase through life extension of large industrial structures either made of steel or concrete and with neither business interruption nor risk of explosion it is a true alternative to welding or drilling our unique selling points allow to solve the difficult equation of making the life extensions of mature industrial infrastructures both environmentally and economically viable which resonates with the green deal objective of building and renovating in an energy and resource efficient way
m4mining multiscale multisensor mapping and dynamic monitoring for sustainable extraction and safe closure in mining environments

the m4mining project aims to provide an integrated remote sensing approach for mapping and monitoring active and inactive mining sites hyper and multispectral imaging combined with 3d surface measurement will be utilised for material identification from the detailed mine face to the site scale using unmanned aerial vehicles uavs and satellite sensors central to the proposed work is a synergistic unification of uav and satellitebased processing algorithms workflows and decisionmaking tools at timescales required to impact active operations and environmental and risk management of tailings and waste sitesa novel uav system will combine hyperspectral lidar navigation onboard computing systems and telemetry to acquire highresolution oblique datasets from mine faces and tailings key innovations will be dynamic processing of spectral and lidar data communicating initial results to onsite users allowing interactive presentation and decisionmaking while the uav is in flight in addition high quality results be rapidly available for integration with sitescale satellite workflows and enhanced classification algorithms this combined approach offers a stepchange in active mine operations and tailings management paving the way for novel products and services new applications include improved sorting of material during extraction material quality assessment remining of secondary raw materials as well as monitoring environmental impact m4mining will contribute to reduced energy consumption through faster response times for mine operators and will impact digitalisation of mining the main result will be technology validation in operational environments three sites in eu and key eu raw materials import markets will be used in cyprus greece and australiathe project consortium is established from internationally leading commercial hardware and software providers research groups in technology and applications in mining and public stakeholders
multifunctional and sustainable nanoarchitectured networks for highperformance filtering of air pollutants

while 84 of the european population is exposed to dust concentrations above the who guideline limits several epidemiological studies have established a strong link between exposure to indoor air pollution and adverse health effects commercial highefficiency particulate air hepa filters are inefficient in capturing particulate matter pm and toxic gases simultaneously their structural materials are also nondegradable and end up in landfills as society demands a better future and with an economic incentive developing innovatively sustainable and efficient air filters is gaining ground in research and policy the proposed suscofilter project aims to develop brandnew sustainable air filters from spent coffee grounds scg that possess unique multifunctional features such as simultaneous pm and so2 removal capability high efficiency and low pressure drop effective removal of pollutants from the air can be achieved by introducing an advanced class of active hybrid porous materials eg metalorganic frameworks mofs to electrospun polymeric fibers however to develop a noninterfering twocomponent mof system two different surfaces should exist for each mof component attachment proposed in suscofilter microparticles of chemically modified scg will provide the extra surface and the air filters will be produced by concurrent electrospinning and electrospraying methods set targets for capture efficiency of suscofilter are pm10 99 pm25 95 and so290 and pressure drop100 pa this interdisciplinary project has the capacity to advance basic science and technology in the field of green air filters and prompt the design of innovative scgbased membranes for applications in water treatment catalysts gas separationstorage and energy conversion suscofilter intends to convert a burdensome biowaste into a valuable resource material and strengthen the european circular economy and its sustainability
copernicus emergency applications for resilience addressing businesses needs and policy making

the escalating frequency and severity of extreme weather events induced by climate change pose significant threats to global societies economies and ecosystems europe and more specifically the mediterranean area has witnessed a surge in natural disasters resulting in substantial human casualties and economic losses despite advancements in disaster risk management inadequate investment in early warning and detection systems have led to prolonged costly and frequent emergency responses straining resourcesunicorn focuses on the development of copernicus emergency applications using earth observation technologies and data to address the increasing frequency and intensity of extreme events fires floods and geohazards volcanoes and their impact on society the economy and the environmentunicorn develops tools and applications for early warning forecasting and hazard monitoring that enable a resilient society betterinformed emergency services and effective shortterm recovery it proposes innovative solutions for local authorities policy makers citizens and industries which will increase their preparedness for extreme events and geohazards unicorns approach involves creating stateoftheart scalable and transferable services tailored to user needs pushing technological boundaries for precise timely and actionable results from data and knowledge unicorn is based on four use cases from different european regions hazards target stakeholders and technologies through an end user validation method to build a resilient european landscapeunicorn aims to enhance resilience and inclusivity by improving forecasting for natural hazards and boosting emergency management at various levels leveraging copernicus emergency services it empowers local authorities citizens industries and services to mitigate climate change and geohazard impacts for increased competitiveness and sustainability
caucasus and central asia research on social innovation development assistance innovation and societal transformation

development assistance to the caucasus and central asian regions has grown significantly not only do these regions attract internationalattention for some of the largest world reservoirs of natural resources but they are also considered fertile markets for their proximity and links to europe what possibly distinguishes the eus approach from others ie china india us is its interest not only in technical innovation and local market shares but also the regions social and human development this is a major tendency with the ec that has been addressed already as early as 2014 when development strategies started emphasising the importance of taking into account social impacts in its overall development approach in spite of this declarative intentions by local governments but even by eu agencies to introduce social innovation in development and assistance have not been followed through by clear and precise instructions on how to do this this is visible both at the international and local levels and may be due to 1 the fact that although a framework for eucaucasuscentral asia relations has significantly advanced production of specialists and intelligence regarding the regions has not followed accordingly 2 only a limited amount of intelligence on the region is availableas a response carsi is a training and research programme bringing together 16 leading institutions across two continents with a major focus on the caucasus and central asia to train fellows through secondment and eventually produce new empirical evidence on the region by processing firsthand data and thus identifying the gap between declarative approaches and reality with regards to social innovation carsi teams will define new relationships between global social innovation approaches and social theory while working to translate research findings into policy recommendations
plastic reprocessing for organics and synthetics using plasma for energy redundancy resources

our lives are materialistically and perhaps literally wrapped in plastic since its use in 1940s and expected consumption would increasingly be 720 million tons by 2040 in 2018 the european commission eu and the eu strategy for plastics in the circular economy established the main goals for plastic design manufacture use reuse and endoflife management by 2030 nearly 10 municipal solid waste is plastic out of which nearly 20 is being landfilled causing geological and environmental instability in spite of numerous methods for recycling of plastic waste only primary recycling reextrusion and secondary recycling mechanical are wellestablished the most challenges are in the large scale implementation of tertiary recycling chemical recovery and quaternary recycling energy recovery of plastic waste further converting plastic waste into building block molecules fuels and energy remains a substantial challenge for these reason depolymerization of plastic via arc plasma gasification and pyrolysis has been the attractive choice for researchers and technology developers armenise et al shows the highest cluster of research on pyrolysis of plastic has happened worldwide in last 2 decades design of a pyrolysis reactor and the fixing up of the process parameters have been the key bottleneck for the success of the efficient pyrolysis of plastics fluidized spouted bed reactors are the top most choices for the plastic pyrolysis process a plasma reactor has shown significant improvement in the process intensification the for the better heat treatment resulting highly desirable organic products such as h2 co ch4 c2h4 c2h2 and other smaller hydrocarbons as the renewable energy source a new plasma assisted spouted bed pyrolysis reactor psbpr will be designed and tested for cost effective deployment in industrial use
liacflash a life changing ioert technology for oncology care

radiation therapy is along with surgery the most effective therapeutic approach for the treatment of solid tumours unfortunately biological effects of radiation dose to healthy organs at risk often surrounding targeted tumour mass represent a major doselimiting constraint in radiation therapy this implies that tumours cannot be always successfully treated as delivered dose might not be enough for an effective treatment decreasing survival of these cancer patients liacflash is an ioert system for cancer treatment built on a breakthrough scientific discovery the flash effect which enables delivery of high radiation dose with significantly reduced associated radiocytotoxicity while achieving efficient tumour killing widening the therapeutic window