Dragon09/odtu_chatbot huggingface dataset:
building chargemosaic nanofiltration membranes for removing micropollutants from surface and drinking water

our surface and drinking water sources are increasingly threatened by the presence of organic micropollutants omps omps are small molecules 1001000 da that originate from industrial agricultural and pharmaceutical residues and can cause longterm harm to humans and ecosystems while omps can be removed from water with existing membrane technologies eg reverse osmosis these methods have significant limitations they are energyintensive and lead to problematic brine waste streams due to their low water and salt permeabilityin this project i aim to solve these limitations by building chargemosaic membranes membranes with small nm2 oppositely charged patches that allow coupled passage of negative and positive ions this design aimed at reducing salt retention was conceived over 90 years ago but was never realized in a scalable manner due to its challenging design here i propose a simple and fully scalable approach to achieve such membranes using polyelectrolyte multilayers pems of oppositely charged polymers i will build these chargemosaic membranes using ultrathin ultradense layers in an asymmetric pem approach to achieve a very high 99 retention of omps and a high water permeabilitycombined with stateoftheart modelling this project will also provide new fundamental insights into membrane mass transport moreover the project will directly lead to membranes with unique separation properties allowing the design of completely new processes to effectively remove omps from waste water and drinking waterter
unravelling the epigenetic mechanisms underlying nutritional programming for sustainable aquaculture

aquaculture supplies half of the fish consumed by humans being the fastest growing food production sector worldwide reducing the use of fishery products in aquafeed by replacing them with more sustainable ingredients is a must to reach sustainability and meet future global food needs in this sense nutritional programming is a promising strategy with potential to increase production efficiency and fish health and minimize environmental impact epigenetics is thought to be responsible for the beneficial effects of early nutritional intervention but the mechanisms by which different types of nutritional interventions induce epigenetic modifications and which ones they induce is largely unknown epiaqua is an innovative and timely project that will unravel the multilayered epigenetic entanglement underlying nutritional programming and its transgenerational inheritance using nile tilapia oreochromis niloticus as a model paving the way for advances in the use of sustainable aquafeeds specific goals are 1 to elucidate causeeffect relationship of carbohydrate content and dietary fatty acids early intervention on the multilayered epigenome 2 to generate a better mechanistic understanding of the phenotypic changes induced by nutritional early intervention and 3 to demonstrate the presence of epigenetic marks transgenerationally inherited and characterize the mechanisms underlying it the new hypothesis that lncrnas play a key role in the transmission and longlasting effects of nutritionally mediated phenotypes is central to this proposal being one of its groundbreaking elements and having major translational impacts moreover epiaqua outcomes will provide novel mechanistic insights into the role of epigenetics in nutritional programming and identify novel epigenetic markers involved in tailoring metabolic pathways for better use of sustainable aquafeeds what in turn will drive changes in husbandry protocols and improve aquaculture sustainability
beyond covid

beyondcovid bycovid aims to provide comprehensive open data on sarscov2 and other infectious diseases across scientific medical public health and policy domains the project will have a strong emphasis on mobilising raw viral sequences helping to identify and monitor the spread of sarscov2 variants it will further accelerate access to and linking of data and metadata on sarscov2 and covid19 enable federated data analysis conform with data protection regulations and harmonisation and management of metadata and sample identifiers as well as longterm cataloguing to ensure interoperability of national and global effortsbycovid will align with the onehealth approach building on the latest technological advances exploiting and contributing to the european open science cloud capabilities for data access and federation as well as relevant standards and policies for managing sharing and reusing research data and work closely with the proposal funded through the siblingtopic from the emergency call horizoninfra2021emergency02 bycovid will integrate established national and european infrastructures including elixir bbmri ecrin phiri and cessda it will build on existing efforts such as the covid19 data platform and the versatile emerging infectious disease observatory project veo thereby maximising efficiency synergies with the european health data space will be developedbycovid is a truly interdisciplinary 55 partners from 19 countries project bringing together stakeholders from the biomedical field hospitals public health social sciences and humanities in an unprecedented and unique effort and will increase european readiness for future pandemics enhance genomic surveillance and rapidresponse capabilities the outputs of the project will allow scientists across multiple domains including smes and industry to access a range of data that will generate new knowledge on infectious disease
strategies to strengthen european linguistic capital in a globalised world

this research project will collect and analyse evidence to inform transformation of language policy in europe increased mobility of people across territories has altered the linguistic makeup of europe while rapid developments in ai and other digital technology have revolutionised the way people communicate however eu language policy has been slow to respond to the pace of these changes our challenge in an increasingly diverse digital and multilingual europe is to reform language policy to shape a future for young people which is inclusive democratic and equitable we will address this challenge by providing policy makers with comprehensive evidence of the communicative practices and language ideologies of young people in europe we will examine how young this research project will collect and analyse evidence to inform transformation of language policy in europe increased mobility of people across territories has altered the linguistic makeup of europe while rapid developments in ai and other digital technology have revolutionised the way people communicate however eu language policy has been slow to respond to the pace of these changes our challenge in an increasingly diverse digital and multilingual europe is to reform language policy to shape a future for young people which is inclusive democratic and equitable we will address this challenge by providing policy makers with comprehensive evidence of the communicative practices and language ideologies of young people in europe we will examine how young people use language in multiple locations in europe focusing on their communication in digital creative and everyday contexts we will observe young peoples interactions in six cities in five countries and elicit their perspectives on language identities heritage belonging and investment this project will equip policy makers with the evidence necessary to introduce equitable inclusive language policy fit for the digital multilingual age
open source deep learning platform dedicated to embedded hardware and europe

the neurokit2e project aims at proposing a deep learning platform for embedded hardware around an established european value chain providing ai hardware and software this opensource platform will provide the necessary tools for europe to play on the same level with its american and chinese competitors and take the lead on a competitive aspect still underdeveloped but which will quickly prove to be essential embedded ai the neurokit2es offer targets to serve european industry needs as a priority enabling easy and fast neural network design optimization and implementation on constrained hardware targets this challenging development will be powered using n2d2 for neural network design deployment platform developed by cea coordinator of neurokit2e for the exploration and development of ai applications and embed specific hardware components from european players such as nanoxplore stmicro all members of the neurokit2e consortiumneurokit2e will provide essential outcomes such as the end of the dependence of eu stakeholders to american and chinese tools the valorisation of eu hardware technologies the benchmark of hardware and architectures before implementation to ensure the success of embedded ai in devices from energy consumption to sparse resources exploitation the capacity to overcome the heterogeneity of components through a single open sovereign platform while ensuring reliability safety transparency the neurokit2e framework will impact the ai landscape as the first one dedicated to embedded ai and will position eu stakeholders in this key marketthe neurokit2e consortium relies on 5 eu countries active in the hardware and software activities france netherlands austria germany and italy with a balance between private and public research 11 private companies 5 large industries thales ifag tttech auto ag stmicro dolphin 5 smes nanoxplore almende spiki deepsensing hts 4 rtos cea imecnl sal fbk
revolutionary energy storage cycle with carbon free aluminium

one of the main keys and possibly the main key for a climate neutral europe are technologies for the storage of renewable energies over longer time at an attractive cost and with an acceptable environmental impact renewable electricity and heat can be produced cheaply today and shortterm storage solutions for evening out mismatches between production and demand are available at low cost however technologies for storing renewables for longer timespans of months or seasons are scarce and costly and thus not widely used yet therefore the reveal project develops a gamechanging and unique solution to this challenge using the conversion of aluminium oxide into aluminium metal powertoal in an environmentally friendly way to store renewable energy and produce a renewable fuel in the form of aluminium this groundbreaking technical solution will enable to store large amounts of energy with an unmatched energy storage density of over 15 mwhm3 at an attractively low cost without losses and with lower environmental impact than todays solutions for example cost for converting electricity into a seasonally storable form will be less than 7 ctkwh and the easy transportable energy vector can be used for heat and electricity or hydrogen production wherever and whenever needed in scalable units from few kw to the mw range thus this breakthrough highdensity storage solution will enable to cover energy demands flexibly also in small units and offgrid situations and above all in seasons where the demand is much higher than local renewable production could possibly cover therefore with the emerging technology of carbon free reduction of aluminium oxide to aluminium in combination with the release of energy from an aluminium storage vector this project will provide one of the missing pieces of the puzzle for a climate neutral europe
powder metallurgy combined with cryogenic laser shock peening a novel surface plastic deformation process to achieve advanced nanotwinned aluminumgraphenecnt composites

the tradeoff between stacking fault energy and capability of twining has been a roadblock in aluminum al composites due to low dislocation storage and weak strain hardening ability the recent extra strengthening and work hardening in gradient twinned architectures had provided an alternative approach to increase balance between nucleated twins high density of dislocation and stacking faults however there is still a huge challenge to achieve large scale strengthening bulk al which generally nucleate sporadically and under extreme conditions we aim to develop a practical but innovative technique with combining stress concentration and high strain rate deformation at low temperature via powder metallurgy pm combined with cryogenic laser shock peening process clsp to fabricate advanced large scale high strength twinned algraphenecnt composites with uniform and controlled alignment including nucleated twins and stacking faults the results are interpreted by both molecular dynamics simulation and experiments during the cryogenic process the pinning effect of cnts hinders the escape of dislocations from pileups resulting in high stresses in front of graphenecnt and controlling plasticity via both high strain rate and high pressure as local stresses in front of both graphene and cnt exceed the critical stress for twin nucleation highdensity deformation twins can be formed pm combined with clsp enables us to tailor specific deformation nanotwins architecture in bulk al composite otherwise cannot be achieved by present methods parameters of shock pressure strain rate and loading temperature for optimal thermomechanical properties and even shock loading direction effect on alignment of graphene and cnts for better strengthening effect and twinning nucleation in al are discussed in details we expect to demonstrate the feasibility of tailoring nanotwinned architecture in advanced al composites via clsp process which could be put into mass production
multifunctional structures with quasisolidstate liion battery cells and sensors for the next generation climate neutral aircraft

matisse responds to the fourth bullet of the horizoncl52021d50105 topic expected outcome delivering improved aircraft technologies in the area of multifunctional structures capable of storing electrical energy for hybrid electric aircraft applications this consists in integrating liion cells into aeronautical composite structures sharing the loadbearing function with the structure and achieving an aircraft structural element capable of functioning as a battery module to do so matisse will advance liion battery cell technology in a nonconventional formulation suitable for bearing structural loads nmc811 cathode sic anode and bicontinuous polymerionic quasisolidstate electrolyte bce ie nmc811bcesic achieving 170270 whkg at cell level enable the functional integration of liion cells into solid laminate and sandwich composite structures make the structural battery smart by equipping it with oncell and instructure sensors connected to a chipbased cmu cell monitoring unit and plc power line communicationmatisse delivers a multifunctional structure demonstrator capable of power delivery power management and safety monitoring this consists of a fullscale wing tip 142 m 069 m for use in place of the current wingtip assembly installed on pipistrel velis electro embedding a module of 40 battery cells at 72 vdc this will undergo a comprehensive testing and characterisation campaign qualifying the technology at trl 4 at the end of the project 2025 matisse will also encompass aspects related to flight certification lifecycle sustainability and virtual scaleup paving the way towards the application of structural batteries as an improved performance key enabling technology for next generation commuter and regional hybrid electric aircraft applications
tracking gluten immunoreactive peptides from the grain to the gut and beyond

wheat is one of the pillars for nutrition security worldwide but the prevalence of wheatrelated disorders wrd is increasing taken together coeliac disease noncoeliac gluten sensitivity and wheat food allergy may affect up to 10 of european individuals the causes for this increase are still unknown but involve the intricate interaction of proteolytically resistant gluten immunoreactive peptides gip from wheat rye and barley the human immune system and yet unknown adjuvants total gip can be detected by immunoassays in human plasma urine and faeces biosamples after gluten consumption but the precise molecular structures have not been clarified so far because specific analytical methods are missingthe project glutenomics aims to elucidate the molecular structures of gip in human biosamples and analyse factors determining their identities and quantities i aim to achieve this using a combination of different approaches to overcome the analytical challenges by i creating a comprehensive database of gip and elucidating factors affecting gluten protein digestibility ii developing and validating proteomics methods to detect gip in human biosamples and iii establishing relations between the gip profile of raw materials foods and human biosamples my central hypothesis is that gluten structure and content determine its digestibility which in turn leads to different gip profiles in biosamples from healthy individuals and wrd patients the unique toolbox of methods that i will put in place will provide a fundamentally new understanding of how protein structures govern digestibility and how the resulting peptides pass through the human digestive system my ambition is to use the findings to tailor grainbased foods towards better tolerability to prevent the initial onset of wrd beyond grains glutenomics opens significant innovative potential to promote human health through systematically structured isolated or designed dietary proteins
simple and robust laser source with eu supply chain and cavity and injectionfree optical parametric oscillator for spaceborne lidar

siroco simple and robust laser source with eu supply chain and cavity and injectionfree optical parametric oscillator for spaceborne lidar aims to reach eu independence for highpower lasers in the eyesafe region a solution based on wavelength conversion from a 1m laser will be matured ensuring eu supply chain independence for power laser emission in the 153m range such breakthrough laser will build the foundation of next greenhouse gases ghg spaceborne sensors by integrated path differential absorption lidar ipda by which ghg of interest can be probed in the 16m or 2m eyesafe regions to meet the stringent spectral spatial beam and power properties required efficient and versatile wavelength converters such as optical parametric oscillators opos pumped by mature 1m power lasers are key enabling technologies this is also the approach in the european methane remote sensing lidar mission merlinsiroco will mature innovative critical optical space technologies to trl6 including a hybrid fiberbulk 1m laser combined with a new backward wave opo bwopo concept this will lead to a simplification shock compared to the state of the art as no optical cavity is required higher robustness and easier integration nor any opo seed source higher compactness and simplicity in wavelength control it will increase eu competitiveness by faster integrated less risky more sensitive future space ipdasiroco will develop nonlinear crystals to ensure an eu supply chain which are key components for various applications general laser physics ipda emitters quantum applications their exploitation path towards future space lidar and quantum communications will be delivered through two public technical roadmapssiroco is a 4year 3meuros valued action gathering renown research academic organisations and smes and supported by an advisory board with experts from the european space research atmosphere science and quantum communities
a dualfrequency distributed mimo approach for future 6g applications

tthe 6gtandem project will demonstrate ultrahighcapacity coverage offload of lower frequency bands and new services such as subcm resolution sensing and positioning in high traffic areas by adding subthz carriers to lower frequency bands in a seamless tightly coordinated fashion the two frequency bands will form a network collaborating and supporting each other in a tandem configuration enabling an introduction of high capacity energy efficient subthz enabled services while mitigating known drawbacks of the subthz frequency bands such as susceptibility to lineofsight blockage coverage and cost deployment will be addressed through the introduction of a thin and light dielectric waveguide to distribute a subthz rf signal through a daisy chain of integrated lowpower antenna units referred to as a radio stripe we will demonstrate the use of lower sub10 ghz frequency bands to support the subthz band with resilience and coverage and the implementation of a distributed mimo system to extend the coverage of the subthz band as well as offering capacities in the order of tbps system throughput we will demonstrate the possibility to implement local fronthaul solutions for added sub10ghz access points using the high bandwidth of subthz radio stripeskey elements for 6gtandem a system defining an aligned tandem dualfrequency distributed mimo architecture mediumaware waveforms transmission schemes and communication strategies for energyefficient operation and development of crosslayer solutions to offer required service levels on the novel dualfrequency infrastructure novel radio stripe hardware including transceivers at 130ghz175ghz packaging integration and plastic waveguide for a lowcost easydeployable subthz infrastructure conception of a combined lowfrequency and subthz distributed mimo system supporting joint highresolution sensing highaccuracy positioning and highresilience and reliability communication
intelligent power management integrated circuits for a greener more efficient internet of things

the internet of things iot offers great potential to monitor and manage complex systems yet remains hindered by excessive use size and replacement of batteries in iot nodes decreasing power use is essential to fulfil the iot promise for smart sustainable and green societies we have developed a unique intelligent powermanagement integrated circuit ipmic using siliconproven subthreshold technology that can autonomously manage any sensor microcontroller wireless chip or peripheral to reduce energy consumption by 5099 this grants novel capabilities to all designers of batterypowered devices to optimize for increased performance and reduced product sizecost while eliminating replacement costoperational barriers for new applications in critical parts of the value chain and environmental impacts of disposal with eic support nanopower will address the iot battery bottleneck and become a europebased worldleading ultralowpower specialist