Dragon09/odtu_chatbot huggingface dataset:
co2nstruct modelling the role of circular economy construction value chains for a carbonneutral europe

circular economy integration into climate action and policy is limiting the eus advancement to achieve carbon neutrality as fast as possible widely applied times energyclimate mitigation models detail the use of technology and technological advances in its ghg abatement pathways because ce practices are technical co2nstruct deems times the ideal proxy model to shift climate mitigation models from linear to circular this project will delineate a circular climate mitigation framework to augment times models at a first stage but that can serve as an imprint for other climate mitigation models the focus will be on six pervasive carbonintensive construction materials steel cement brick glass wood and insulation to map six value chains with explicit feedback loops and quantified rebound effects key of ce practices social and environmental externalities will be accounted for including ghg air pollutants emissions water usage embodied energy energy poverty employment and inequalities once these and other ce measures are identified in the key industries of the six materials ce tools as lca and mfas can be coupled to the times model times will run several ce scenarios to quantify the role of ce for eu climate mitigation in the nearterm and future always ensuring carbon outcomes will be translated into useful and effective policy support information for sustainable climate mitigation minimising conflicts across sdgs both in eu and rest of the world although the framework is applied to the whole eu energy production and consumption system disaggregated per country co2nstruct will emphasize two economic case studies or clusters 1 offshore renewable energy production and 2 buildings co2nstruct anticipates that the framework can be used globally by climate mitigation modelers and policy makers ce integration into climate action will drive ecs goal to increase eu gdp by 05 by 2030
a research and innovation partnership for enhancing the surveillance and control of mosquito vectors of emerging arboviruses

over the past 10 years arboviral diseases such as dengue zika chikungunya and yellow fever have reemerged with increasing prevalence and severity although these arboviral diseases are more prevalent in tropical countries increasing numbers of autochthonous cases are being reported from european countries hence raising concerns about the potential for the establishment of these pathogens in temperate regions in the absence of effective vaccines and treatments preventing these diseases at the global scale continues to depend largely on controlling mosquito vector populations interrupting humanvector contact or both unfortunately the recent resurgence of aedes transmitted arboviral diseases worldwide highlights the limitations of current vector control to prevent epidemics and to reduce the incidence of diseases new affordable scalable and communitybased vector control measures are urgently needed to prevent the introduction spread and establishment of aedesborne diseases in europe and beyond the inovec project proposes to build a large paneuropean crosssectoral and multidisciplinary network to develop optimise and promote integrated approaches and innovative tools for the surveillance and control of mosquito vectors of emerging arboviruses inovec will gather 21 academic and nonacademic institutions specialized in vector biology social sciences and product development to stimulate basic and applied research strengthen capacities promote career development and facilitate knowledge and technology transfer to countries at increasing risk of arboviral diseases inovec has the commitment to coordinate and integrate sectors in order to maximise impact raise awareness of policy makers and stakeholders and participate in the improvement of innovation potential at the european and global level inovec will contribute to international efforts to improve global health and human wellbeing by reducing the burden of vector borne diseases
optimised wind supported vessels

the need to reduce energy consumption and emissions to bring global warming to a halt is unprecedented although there are energy saving strategies most innovations cannot simply be merged in conventional ship design as the solution for making ships carbon neutral will likely come from the use of several energy sources a clever energy management becomes a key element in a unified ship system derating of engines combined with sailing at slower speed seems to be a relatively easy way to reduce fuel consumption and ghg emissions and will most likely be used in the industry however this does come with reduced transport work per ship and reduced earnings in our view most other savings methods can deliver savings up to about 15 not the substantial savings that are required optiwise aims at two solutions that when combined go well beyond 30 when the innovations are delivered as proposed in this project wind propulsion with a rigorous holistic optimised ship design control and operation including a change in conventional propeller propulsion wind propulsion is showing its potential in research and market introductions the holistic ship design and operation pair well with that for common ships there is much to be gained especially with the increased freedom in the aft ship geometry with a shift to electric propulsion making best use of wind propulsion also requires a rethink of designs control and operations to meet the objectives of this call generic tool and methodology development are planned for optimization performance and energy management new developments will be applied to 3 demo cases consisting of a bulk carrier a tanker and a passenger vessel verification of the results will be done by testing a rotor sail rig model tests on two ships and bridge simulations with crew training by the end of this project it will be clear how much energy can be save with the latest sail propulsion systems for the three types of vessels investigated
synthetic bimodal photoredox catalysis unlocking new sustainable lightdriven reactivity

solar light is an inexhaustible abundant and free reactant that can promote the construction and transformation of molecules the chemistry community is particularly interested in photocatalysis which uses light energy to promote a chemical transformation photocatalysts pcs play a key role in transformative lightdriven processes by donating or receiving electrons to or from the target substrate the selection and structural refinement of pcs can channel reactivity to diverse mechanistic pathways but often proceeds via trial and error here i will use structureproperty relationships to 1 define novel bimodal organic pcs able to catalyse thermodynamically demanding and opposite photoredox events exploiting their electronically excited state 2 explore the pcs reactivity by means of their radical ions going beyond conventional photoredox approaches 3 capitalise on the new reactivity and bimodal way of action of the pcs to implement novel selective transformations of biological targets under physiological conditions these project core concepts will be accomplished by the rational evaluation and optimisation of the pcs physicochemical and structural properties as well as the careful analysis of the mechanistic features subtending the lightdriven chemical events overall synphocat will deliver new conceptual and experimental tools for the sustainable lightdriven construction and functionalisation of biorelevant molecules opening the way to a new dimension of sustainable lightdriven chemistry
plasma reconfigurable metasurface technologies

pulse pursues the ambitious goal of defining a new technological horizon for implementing reconfigurable electromagnetic devices by unifying the research domains of metasurfaces with the plasma physics the advantages retuned by plasma when combined with metasurfaces are multiple first plasma allows overcoming the main limitations of conventional reconfigurability strategies and achieving unprecedented tunability rate at high frequencies additionally plasma enables conceptually new scenarios in which the individual properties of the metaatoms and even their shapesize can be timemodulated the project thus is aimed to fully merging two different research fields for establishing a radically new technology plasma metadevices offering unprecedented possibilities to address this vision several sciencetotechnology breakthroughs are proposed including tunable lenses for antennas nonreciprocal devices in waveguide technology and fourdimensional 4d devices in which the variation of the shape over the time becomes an additional degree of freedom to achieve new effects at the fundamental level pulses technological goals are beyond the stateoftheart and outside any scientific and technological roadmap of the involved scientific communities in addition it is expected that pulse will also have a dramatic economic and society impact the unprecedented functionalities of the plasmabased metadevices in fact can address the increasingly stringent requirements of the nextgeneration telecommunication systems to achieve pulses ambitious scopes the consortium has been built for success in terms of industry and academic excellence we have brought together a consortium with a true european dimension with eigth beneficiaries from italy spain finland greece and belgium our expertise is interdisciplinary complementary and characterized by appropriateness of equipment in all the involved scientific and technological domains
automated miniaturized and accelerated drug discovery amadeus

the mantra automation miniaturization acceleration is successfully applied in many research areas and technologies but not in synthetic chemistry which is largely believed to be not automatable however with the potential to accelerate discoveries while flattening costs increase safety streamline data generation enhance reproducibility and lower the environmental footprint automation and miniaturization are two promising approaches to synthesis and are worthwhile to invest in i will engineer and validate a comprehensive technology platform amadeus automated miniaturized and accelerated drug discovery which is able to synthesize in a fully autonomous manner thousands of small molecules per day in nano or picolitre volumes based on hundreds of chemistries efficiently screened and optimized for properties using artificial intelligence the amadeus process will be achieved by interfacing four different modules a synthetic part based on acoustic droplet ejection technology coupled with a uplc ms qc and purification module and a flexible mounted screening unit a machine learning module will retrieve and process all relevant synthesis qc and screening realtime data and automatically guide the iterative optimization cycleamadeus will be showcased with several medicinal chemistry catalysis and organic chemistry projects with my project i want to challenge the early drug discovery process which for over 50 years in pharma companies around the world has almost uniformly been pursued and comprises two blocks 1 a high throughput screen relying on millions of curated and stored compounds and 2 the subsequent hittolead optimization phase often called the design make test cycle amadeus will contribute to the accelerated discovery of drugs for unmet medical needs and ultimately reduce drug costs for patients amadeus is a highly sustainable synthesis platformamadeus will help democratize drug discovery
efficient quantum algorithms for industry

a quantum revolution is unfolding and european scientists are on the lead now it is time to take decisive action and transform our scientific potential into a competitive advantage achieving this goal will be critical to ensuring europes technological sovereignty in the coming decades equality brings together scientists innovators and prominent industrial players with the mission of developing cuttingedge quantum algorithms to solve strategic industrial problems the consortium will develop a set of algorithmic primitives which could be used as modules for various industryspecific workflows these primitives include differential equation solvers material simulation algorithms quantum optimisers etc to focus our efforts we target eight paradigmatic industrial problems these problems are likely to yield to early quantum advantage and pertain to the aerospace and energy storage industries they include airfoil aerodynamics battery and fuel cell design space mission optimisation etc our goal is to develop quantum algorithms for real industrial problems using real quantum hardware this requires grappling with the limitations of presentday quantum hardware thus we will devote a large portion of our efforts to developing strategies for optimal hardware exploitation these lowlevel implementations will account for the effects of noise and topology and will optimise algorithms to run on limited hardware equality will build synergies with quantum flagship projects and europes thriving ecosystem of quantum startups use cases will be tested on quantum hardware from three of europes leading vendors and two hpc centres the applications targeted have the potential of creating billions of euros for endusers and technology providers over the coming decades with equality we aim at playing a role in unlocking this value and placing europe at the centre of this development the project gathers 9 partners and has a budget of 6m over 3 years
cofactors at the core of tau prion behaviour

tau is an intrinsically disordered protein that regulates microtubule activity in neurons aggregation of tau into amyloid fibrils is diagnostic of several diseases termed tauopathies that include alzheimers disease distinct amyloid aggregate structures socalled strains are involved in different tauopathies these assemblies can spread and recapitulate pathological phenotypes when injected in cells and animals this is the hallmark that tau aggregates follow a prion behaviour to date the factors guiding the formation or propagation of specific strains are unknown showcasing this crucial gap in knowledge is the fact that none of the brainextracted tau amyloid structures has been reproduced in vitro this project intends to establish a paradigm shift for the very definition of tau strain i propose the novel hypothesis that the coaggregation of tau with other biomolecules such as lipids or polyanions socalled cofactors is a defining property of tau prion strains to demonstrate this hypothesis i will test that the taucofactor interactions i dictate the structure of tau aggregates ii enable structure replication through seeding and iii dictate the neuropathology developed in cells and mice after inoculation of tau seeds my approach is to study the pathological properties and the conformational evolution of tau aggregates in the presence of biologicallyrelevant cofactors possessing different physicochemical properties by mapping the interactions between tau and cofactors my goal is also to establish the canonical rules governing tau structural differentiation this proposal combines multiple methods including epr and nmr spectroscopy afmbased nanospectroscopy biochemistry cell biology and animal histology the proposed paradigm shift would have a very high impact in the field of tauopathies for example by enabling accurate structurebased drug discovery revealing new drug targets and pinpointing key deleterious metabolic pathways
digital forest twins for aibased wildfire assessment

wildfires have a devastating impact on the environment infrastructure animals and human lives the complex physical dynamics paired with their unpredictable development makes wildfires a dangerous natural phenomenon that is difficult to counteract recently digital twins have emerged as a concept that combines geometric modeling image synthesis and physical simulation with broad applications in predicting real world processes this proposal aims to develop digital twins for wildfires 3d models of ecosystems coupled with physical simulations and to build aibased tools for wildfire assessment a wildfire twin with realistic physical simulations will have groundbreaking implications for firefighting services who will be able to use my framework as part of their decision making resulting in an improved ability to combat wildfires keep human lives safe and protect the environment in contrast to existing wildfire simulations a novel digital twin will provide realtime simulations of wildfires and complex 3d representations of ecosystems by relying on stateoftheart computer graphics technology a digital twin will support generating photorealistic images and videos of wildfires synthetically generated data with high visual fidelity will profoundly accelerate the development and adoption of aibased solutions for managing wildfires as it addresses the bottleneck of capturing and curating expensive realworld training datasets a digital twin that supports fast and accurate simulations of wildfires will have major impact on the analytical investigation conducted by the scientific community interested in understanding wildfires by accelerating the evaluation of hypotheses additionally i plan to use the digital twin as a robotgym a virtual training environment for autonomous agents a risk of this proposal is that a digital twin may not attain the required degree of realism in which case it is still possible to identify options for higher quality
singularity the first quantum software toolbox for finance

quantum computers are reaching a scale where they can start delivering value the quantum software market is estimated to grow at a cagr of 42 over the next five years to reach 142 billion by 2027 mckinsey highlighted finance as the earliest highimpact application of quantum computing we have been pioneers in this space we authored one of the seminal papers in the field then we developed a quantum software toolkit for finance and results from beta testing with leading financial institutions brought us to the limelight now thought leaders like mckinsey the economist bcg and forbes point at multiverse as a leading firm in quantum finance quantum computing is a strategic technology for europe anglosaxon firms dominate both quantum and finance yet multiverse is leading this race however we must act decisively to keep this position with the eic support we will keep the lead and materialise the promise of quantum for financial applications
3dprinted bones and tendoninspired hierarchical electrospun scaffolds strategies to enhance the enthesis regeneration via stem cells

3ntheses will bring together innovative additive manufacturing am and electrospinning es biofabrication strategies to produce a new generation of multilayer hierarchical multimaterial scaffolds mlhmms able to faithfully mimic the multiscale morphology and the mechanical performances of the enthesis tissue mlhmms will be designed to drive the stem cells fate starting from the morphological study of an animal model several imaging techniques will be used to acquire and measure all the morphological features of the tendon the fibrocartilage and the bone tissue the bone images will be used to produce boneinspired am mineralized scaffolds that will be directly printed on es hierarchical nanofibrous tendoninspired partially mineralized scaffolds reproducing the whole enthesis the mechanical performances of the mlhmms will be compared with the natural tissue using mechanical tests matched with imaging strain analysis the optimized mlhmms will be seeded with stem cells in comparative static and dynamic cultures in bioreactor following their proliferation differentiation in tenocyte fibrochondrocytes osteocytes and the production of different biological markers using imaging and biological characterizations finally the cellularized constructs will be mechanically compared with the natural tissue using biomechanical tests the applicant dr alberto sensini is a research fellow in biofabrication and biomechanics he will apply the tendoninspired es hierarchical scaffold developed during his phd and his imagingbiomechanical skills to enhance the biomimicry of these constructs moreover thanks to the supervision mentoring and training activities provided by the host organization maastricht university on bone am stem cells cultures and biological characterizations he will complete his interdisciplinary biofabrication expert profile
nary spintronicsbased edge computing coprocessor for artificial intelligence

the rise of technologies such as the internet of things iot autonomous vehicles smart cameras etc is generating lots of big data the volume of data in 2022 was 97zb and is doubling every 23 years this is leading to unprecedented growth in energy consumption and costs needed for data processing sending raw data for remote processing on centralized nodes is limited in terms of speed and bandwidth and even nextgen tech like 5g or 6g will be insufficient to cope with this growth processing data at the edge where its generated requires increasing power efficiency by several orders of magnitude however the use of generalpurpose digital processors based on von neumann architecture is limited with optimization possibilities nearing natural limits a new class of chips neuromorphic hardware is needed to execute ai algorithms like deep learning at high speed low energy consumption endurance and scalability multispinais vision is to improve neuromorphic computing by increasing the energy efficiency and processing speed by at least three orders of magnitude over digital computing and 10x compared to the most advanced neuromorphic devices to reach an unparalleled 2000 tera operations per second per watt topsw to achieve this multispinai will develop an ai coprocessor based on a crossbar of multilevel magnetic tunnel junctions m2tj cells nary state cells the use of multilevel m2tjs reduces the number of cells simplifies circuity and reduces the number of digitaltoanalog conversions dac at the input of the crossbar and analogtodigital conversions at the crossbar output the combined effect is realising much higher energy efficiency and faster ai inference at the edge this breakthrough will help provide a significant impact by enabling transformative applications like autonomous vehicles robots and medical devices and help strengthen strategic autonomy for the eu chips industry and reduce co2 emissions from ai inference