Dragon09/odtu_chatbot huggingface dataset:
a new european blueprint for circular bioplastics upcycling solutions

rebiocycle proves a portfolio of bioplastic sorting and recycling technologies within 3 complementary wasteprocessorcentric hub at demo scale and in the real operational environment the effective and efficient recycling of 3x types of bioplastics pla pha materbi to demonstrate higher impact of obtaining the same or superior grade recycled polymers and other higher value applications nl hub chemical technology upscaling to trl 6 using torwash technology to recycle pla pha polymers 500 kg each kpi at least 1 m3 solution of monomers from each of plapha free of solids the nctp group waste sorting site of heerenveen friesland nl and tec pbm corbion will be involved it hub chemical technology upscaling to trl 7 novamont technology will be used to recycle 600 kg of mixed composites including materbi also pha from the nl and es hub will be tested in the it hub to blend into further materbi bioplastic formulations iren group waste sorting site of borgaro torinese piedmont italy and novamonts new dedicated bioplastics recycling section within its terni it plant will be involved es hub enzymatic recycling technology brought to trl 6 producing 50 kg within reactors of 200 litre s csic supported by aimplas pretreatment microbial recycling technology by the ad shortcircuited technology of gpb and ucd via pure culture fermentation brought to trl 7 resulting outcomes 100kg rpha phbv phbhx and 20 kg rphbv mechanical technology upscaling to trl 7 with the kpi level to be achieved 250 kg bioplastic recycle tcd aimplas involved hub activities in sav waste sorting site of manises valencia spainrebiocycle will verify the industrial grade specifications by biopolymer brand owners and via demonstration of realworld products durable arapaha pla and multiuse packaging sulapac pha and materbi the lca analysis by archa and tailored de plan by partners eubp and magfi will facilitate ker uptake
twistoptics manipulating lightmatter interactions at the nanoscale with twisted van der waals materials

van der waals vdw materials are ideal platforms to host light at the nanoscale nanolight with unprecedented properties such as strong inplane anisotropy arbitrarily large momenta and high density of optical states opening the door to develop planar optical nanodevices compatible with current onchip technologies remarkably the inplane anisotropic propagation of nanolight can be steered by stacking two slabs of a vdw material rotated with respect to each other resulting for example in canalization along one specific direction inspired by this breakthrough in nanooptics which extends the exciting prospects of twistronics to the optics realm this erc project aims to develop the field of twistoptics where stacks of twisted layers of vdw materials enable unprecedented active control of light and lightmatter interactions at the nanoscale in a first stage we will carry out a study of the most fundamental optical phenomena in twistoptics reflection and refraction of nanolight in twisted vdw structures and develop a technological platform that will enable active manipulation of nanolight via strain fields in a second stage we will make use of this knowledge and technological capabilities to design and fabricate functional nanodevices to explore directional strong coupling between nanolight and molecular vibrations as well as intersubband transitions in 2d semiconductors in order to develop quantum twistoptics this proposal envisions the modification of material properties and dynamics at the nanoscale and the realization of efficient and compact sources of ir radiation and polaritons working at room temperature these fundamental scientific advances will be of enormous relevance for the development of new nanotechnologies that will have a broad impact in various fields such as molecular nanosensing quantum nanosciences or nanochemistry where active control of fundamental lightmatter processes at the nanoscale is of vital importance
next generation advanced rna inhibition therapy to treat cardiometabolic disease

rna therapeutics comprise a new rapidly expanding category of drugs including small interfering rnas sirna and messenger rnas mrna that have attracted tremendous interest recently due to their first inclass drug approvals and notable success of the mrna vaccines in the clinicobesity diabetes nonalcoholic fatty liver disease nafld and atherosclerotic cardiovascular disease ascvd in turn are highly prevalent devastating diseases of our times despite available medicines accounting for more than one in two deaths worldwide they frequently coexist in the same patient and constitute independent risk factors for each other yet unified approaches directed against common targets and shared mechanisms are lackinglivertarget aims at exploiting partners years of research in the field of cardiometabolic research the identification of ceramide pathways and inflammatory targets and the development of novel sirna technologies and lipid formulations to 1generate innovative sirna pools and synthetic mrnas to regulate ceramide and inflammatory targets in the liver 2formulate them in established humanapproved livertargeting lipid nanoparticles lnp 3determine their efficacy in vivo in preclinical mouse models of obesity diabetes nonalcoholic fatty liver disease nafld and atherosclerosis4complete the necessary safety and toxicology evaluation of the most promising lead candidates and prepare the preclinical evaluation dossier for the european medicines agency ema this will result in a set of novel rnalnp formulations directed against targets shared between ascvd diabetes and nafld with demonstrated efficacy and toxicology ready for further clinical development it will also open up new directions of research towards the development innovative rna therapeutics against liver targets for the treatment of cardiometabolic diseases ultimately benefiting the patient the society and the economy
unlocking the cloud edge iot demand potential in europe

unlock ceis ambition is to unlock the potential for accelerating the deployment of the cloudtoedgeiot cei computing continuum in europe by focusing on the demandside drivers and challenges to identify technologydriven innovation and business opportunities driving demand value chains the project represents the cei demand constituency provide insights and guidance to the horizon europe rd projects in this domain and contribute to a proactive dialogue with the supply stakeholders to encourage the development of an open european cei ecosystem it focuses on emerging value chains where investment is needed to foster the deployment of the cloudtoedgeiot continuum through the forthcoming cei large scale pilots this will ultimately foster european autonomy in the digital economy the workplan is designed to provide early results to feed into the development of the he work programme in 202324 based on the ongoing dialogue with the stakeholder ecosystem the project pays specific attention to data governance issues leveraging the relationship with industrydriven initiatives such as gaiax and ccam connected cooperative automated mobility partnership unlock carries out a systematic assessment of the state of the open european cei ecosystem and develop future market scenarios and related market pathways for the development of the open european cei ecosystem it will engage with industry stakeholders representing the most relevant industry value chains in europe for cei potential demand and develops a productive and effective interface between the demand constituency and the supply side including the coordination of he projects resulting from cl42021data0105 cl42022data0102 and cl42022data0103 and cluster 3 cybersecurity projects it finally designs and implement a coordinated communication and dissemination strategy running throughout the lifetime of the project to create awareness about the whole of the european demandside landscape
targeting the circadian clock in personalized disease prevention

virtually every cell of our body follows the 24hr circadian rhythm of a hypothalamic master pacemaker that evolved in the natural lightdark cycle decoding this circadian clock culminated in the nobel prize in physiology or medicine 2017 for the discovery of molecular mechanisms controlling the circadian rhythm it is now recognized that a strong unperturbed circadian clock is a hallmark of healthy aging the introduction of electric light however presents unique challenges today 20 of the global work force engages in alternate working hours associated with light in unnatural times increases in the risk of major chronic disease and mortality have been associated with night work further nightactivity is widespread also outside of work implicating potential risk for many this project targets the urgency of alleviating adverse health consequences of a perturbed clock it does so by aiming to decipher individual risk and related mechanisms 1 using a cuttingedge multipolygenic score approach 2 employing transgenerational deeply phenotyped cohort approaches and 3 carrying out interventions using genetic risk stratification this epidemiological project builds on pioneering work of the applicant who conducted the first prospective study to demonstrate significant health effects of chronic clock dysregulation leading who to classify night work as a probable carcinogen using transdisciplinary approaches she implemented field and genetic studies and developed circadian biomarkers establishing the field circadian epidemiology tying the transformative body of her work together she proposes to take the next groundbreaking leap to 1 identify the nightactive individual who develops disease 2 profile mechanisms involved and 3 optimize effectiveness of interventions to improve sleep and shift work disorder facilitating immediate implementation of riskbased prevention strategies aimed at promoting healthy aging in spite of clock perturbations
photoionic light modulators for electrochromic devices

the fast increase of telecommunications and technology continuously push towards low energy and complex functionalities new functionalities necessarily imply silicon technology to be extended to other materials and systems with optical and electrical properties beyond those of si alone optical modulators are one of the principal components constituting photonic circuits directly determine the energy costs and systematic performances of optical devices among modulators electrochromic devices ecd regulate light intensity by applying a low voltage despite inorganic oxide materials present low energy consumption limitations arise to fabricate fast switching tunable light ec devices a possible solution to overcome these limitations are mixed ionicelectronic conductors miectheir optical properties change is based on electrochemically driven reversible redox processes regulated by an electric field phides aims at developing a novel solid state nv electrochromic devices based on the implementation of rareearths and strain engineering of functional oxide thin films to tune the change of color contrast and increase switching times photoionic materials have the potential to deliver robust fast and energy efficient nv electrochromic devices however photoionic control is still at an early stage of the rd process and many aspects still needs to be improved to deliver a competitive device in essence phides will provide i an electrochromic guided device based on the electrochemical insertion of oxygen ions ii a large and analogically tunable electrochromic response of the cell ii a fast electrochromic switching capabilities through the implementation of nanoionics concept for boosting ionic motion iii an improved understanding of the oxygenion intercalation mechanisms in oxide perovskite thin films and iv device scalability and miniaturization
flying atm for environment climate

flying alternative trajectories for the benefit of climatef4eclims primary aim is to advance accfs by integrating weather forecasts and climate science to address uncertainties tied to co2 contrails ozone methane and water vapor climate effects this involves evolving accfs to version 20 broadening their geographical scope currently limited to the north atlantic considering diverse weather and seasonal patterns and incorporating various climate metrics these advancements will feed into a climate service for the aviation community additionally f4eclim will explore aviations potential to reduce its climate impact through the development of robust flight planning algorithms these algorithms will identify ecoefficient aircraft trajectories assessing the associated climate impact reduction and costs backtesting procedures will be employed to scrutinize trajectories and climate models providing insights into model specifications the project will culminate in recommendations and the introduction of key performance indicators kpis to guide stakeholders in implementing ecoefficient trajectories reducing uncertainties and advancing understanding of the nonco2 impact of aviation for a greener future
communitybased engagement and interventions to stem the spread of antimicrobial resistance in the aquatic environments catalysed by climate change and plastic pollution interactions

interconnections between ecological and societal systems facilitate compounding impacts of climate change environmental plastic pollution and proliferation of antimicrobial resistance amr on the health of people animals and ecosystems on a planetary scale current knowledge on interactions between these three crises in the earths natural systems and their impact on health is highly restricted tulip will apply a transdisciplinary socioecological systems thinking approach robust environmental science methods epidemiology modelling sampling design and stateoftheart molecular tools to generate scientific evidence on plasticamr interactions it will describe spatiotemporal dynamics and patterns of plasticassociated amr under a changing climate and the compounding health and ecological impacts it will employ the methodology of intervention and social sciences to explore social driving factors and current policies and design and evaluate communitybased interventions and naturebased solutions tulip will convert created evidence to modellingbased decisionsupporting tools that approximate cobenefits to human and ecosystem health indicators and environmental policy recommendations highlighting triplewin solutions and foster the sciencepolicy translation using an integrated knowledge translation framework aiming to ignite a lasting societal change toward healthpromoting environments tulip will engage communities citizen scientists policymakers and experts from multiple sectors in research codesign coimplementation communication and dissemination processes tulip will focus on aquatic environments as they create a milieu for interactions transport pathways and exposure interface and showcase its approach in the philippines and italy and translate to a paneuropean scale
elasticity capillarity and imbibition in textiles

fibrous media are ubiquitous in natural and engineered systems due to their versatility flexibility and functionality nonwovens ie entangled fibrous networks and especially natural fibre based materials such as paper or flax mats are heavily used for a variety of applications and could be largely developed as a sustainable alternative for plastics the first limitation of their widespread use is their response to humidity wetting or drying which is unavoidable in many applications and is a key step of their manufacturing processes the elcapitex project aims at characterizing and modelling the specific behaviour and properties of wet nonwoven textiles consolidation imbibition mechanical response deformation and of their manufacturing processes in order to characterize the complex interplay between the various physical mechanisms that gives rise to the global properties of textiles hydrodynamics capillarity elasticity swelling we will combine different approaches coming from three recent active research areas of fluidstructure interactions the transport of suspensions of elastic objects elastocapillarity ie the deformation induced by the capillary forces associated with liquidair interfaces and poroelasticity we will work with a hierarchy of experimental model systems of increasing complexity in particular by fabricating model nonwoven sheets from gel fibre suspensions we will further build theoretical models based on recent statistical approaches used to describe the mechanical properties of dry textiles understanding these physical mechanisms is mandatory to develop innovative processes and materials reconciling fundamental porescale mechanisms with network behaviour will allow for the design of tailored fibrous media with specific properties
prediction of alzheimers disease using an ai driven screening platform

alzheimers disease ad and related disorders leading to dementia are associated with staggering costs and suffering recently there has been some progress in the search for effective therapeutic interventions and it is clear that any treatment is likely to be most effective if administered at the earliest stage of disease but the health care system is not ready for this new scenario there is an urgent need therefore to establish scalable costefficient diagnostic markers tools and procedures that can identify people at increased risk at point of care for stratification into personalized interventions to prevent or delay dementia predictom will develop an opensource interoperable and customisable biomarker screening platform utilizing an existing online resource to save time and money to generate an evidence base for general population screening for ad and related disorders we will bring diagnostics closer to the patient by examining the feasibility of using samples which can be obtained at home eg fingerprick blood saliva for genetics and epigenetics and stool for microbiom for diagnostic biomarker analysis we will also evaluate innovative technologies for disease risk identification including digital technologies and novel mri eeg eye tracking and bloodbased biomarkers the platform will use artificial intelligence models to analyse data from all biomarkers to identify users at high risk of developing dementia and to direct them to personalized intervention to prevent further cognitive decline and development of dementia we will seek to facilitate a change in current healthcare practice for early diagnosis of ad through development of new clinical practice guidelines based on evidence generated in the project by improving the ease of identification of those with early signs of dementia we expect to have a significant impact on personal and financial burden of dementia in europe and across the world
evaluation of feynman integrals for scattering observables relevant for gravitational physics

this work focuses on the evaluation of integrals encountered in postminkowskian perturbative expansion of gravitational observables using the modern scattering amplitude techniques in particular we encounter integrals having a very complicated analytic structure in the form of integrals containing elliptic curves these integrals are one of the main bottlenecks in the present computations the aim is to utilise studies from collider physics to evaluate these integrals
cardiogenomics meets artificial intelligence a step forward in arrhythmogenic cardiomyopathy diagnosis and treatment

arrhythmogenic cardiomyopathy acm is a genetic disease characterized by progressive cardiomyocyte loss and fibrofatty replacement which in turn lead to the occurrence of ventricular arrhythmias and sudden cardiac death scd particularly in the young and athletes at present acm is uncurable with an incidence of 15000 it can be considered a major cvd disease the subform involving only the right ventricle is the most common the majority of its causative mutations are identified in just three desmosomal genes pkp2 dsp and dsg2 however many of the identified variants in these disease genes are still of uncertain clinical significance vus and thus of limited clinical utility the overall aim of the project is to combine largescale data from genomics proteomics and instrumental analysis obtained from patients with data from structural and functional analyses of in vitro 3d microtissue and in vivo murine models to establish the genotypecardiac phenotype relationship potentially leading to a better understanding of the role and impact of known genes and epigenetic factors ie mirnas on susceptibility clinical progression and treatment of acmthe projects outcomes will pave the way towards novel therapies for acm
digital design and robotic fabrication of biofoams for adaptive monomaterial architecture

the overall objective of the archibiofoam project is to create monomaterial yet multifunctional systems for architecture through the additive fabrication of shapechanging loadbearing biofoams our approach integrates biobased materials science computational metamaterial design and robotic additive manufacturing to enable the structuring of the novel biofoam material at multiple hierarchical scales the objectives are i to create 3dprintable biofoams with programmable properties at the microscale ii to develop a computational design algorithm for optimal biofoambased metamaterial structures and iii to develop the fabrication processes for producing components with tailored stiffness and autonomously actuating parts at an architectural scale the objectives will be achieved by manipulating the microstructure of bubble films in the biofoam to directionally expand or contract to external stimuli such as temperature and humidity the mesoscale geometry of the biofoam will be automatically generated by a multiobjective optimization algorithm to achieve the targeted shape changes the computationally designed biofoam structures will have both loadbearing and shapechanging capabilities constructed at the meter scale by our new robotic additive fabrication processes our biobased monomaterial systems will meet multiple performance criteria and eliminate the need for multimaterial layered construction by leveraging the properties and geometry of materials at multiple hierarchical scales we will engage with the aec sector to facilitate the uptake of our new digital design and fabrication process to enable a reduction of embodied co2 emissions through the use of alternative materials this novel computational fabrication approach will align with global efforts to address the current climate challenge aiming to enable biobased materials that can outperform high embodied energy construction materials while being recyclable and compostable at their endoflife