Dragon09/odtu_chatbot huggingface dataset:
engaging citizens as agents of change for sustainable food system transition with a novel gamified educational citizen science platform

developing a fair healthy and environmentally friendly food system represents a key priority of the european green deal this is expressed in particular through the farm to fork strategy which recognises the need to empower consumers to make informed healthy and sustainable food choices and to reduce food loss and food waste foodmission aims therefore to use multiactor and inclusive transformation labs and blend citizen science learning and gamification approaches to understand citizens food practices for initiating behavioural changes and ultimately engage and motivate to accelerate the uptake of more sustainable food behaviour the project objectives are the following 1 setting up transformation labs that will support the project through all its phases from codesign to uptake 2 design of a comprehensive citizen science data framework collecting and processing citizengenerated data on their food practices and development of a technical data infrastructure and data visualisation tools to support data sharing and analysis 3 design of a citizen motivation and engagement framework for empowering individual and collective change 4 codevelopment of a gamified educational virtual platform prototype and its content and activities 5 piloting and evaluation of the gamified educational virtual platform in 6 european countries 6 promotion of foodmissions key exploitable results and their impact to engage citizens for fair inclusive healthy and sustainable food system in europe and uptake of the outputs beyond the project and consortium foodmission will further contribute to the food 2030 pathways for action the interdisciplinary consortium is composed of 10 members based in 8 european countries bringing together universities innovative companies and various stakeholder organisations representing consumers food retailers and food enterprises and covering diverse socioeconomic and demographic contexts
global cooperation on fair data policy and practice

codata and rda will work with a set of domain and crossdomain case studies to implement and test fair recommendations including those for core interoperability to develop a set of recommendations and a framework for fair assessment in each discipline or crossdisciplinary research areas involved codata and rda are uniquely positioned to lead and coordinate this activity as the two preeminent international interdisciplinary data organisations the case studies have been carefully chosen to provide maximum impact they are clustered in cognate groups in order to maximise scope while retaining a critical mass of activity and allowing learning and crossfertilisation of ideas among them drawn from codata and rda activities and partnerships the case studies include leading organisations in a range of disciplines and crossdisciplinary research areas such that the outputs will have global influence and impact the methodology is designed to maximise coordination while being sensitive to the status and requirements of each case studies discipline or crossdisciplinary research area each case study will perform a lightweight benchmarking and information gathering exercise through preparing a fair implementation profile appropriately adapted to their discipline this will lead into and help inform a fuller mapping of current best practices and emerging solutions and initiatives in their discipline taking into account good practices in their disciplines as well as the draft framework for core interoperability and pertinent rda recommendations each case study will develop pilot and possibly deploy interoperability standards and guidelines finally the reports and recommendations from each case study will be synthesized and used to develop discipline specific frameworks for fair assessment and benchmarks
neuropsychiatric impairments and neurotransmitterrelated functional alterations in alzheimers disease

depressed mood agitation false beliefs lack of motivation and other alterations in behaviour usually named with the umbrella term of neuropsychiatric symptoms nps are commonly observed in people with alzheimers disease ad nps are highly prevalent in people with ad 3585 and increase the risk of dementia by up to 10 times the onset of nps may even precede that of cognitive deficits and predict subsequent cognitive decline although not all patients experience nps and some experience only very mild symptoms clarifying ad aetiology is of primary importance to improve early diagnosis provide better care and mitigate the economic burden of dementia the neural changes associated with nps in ad are still unclear and consequently wide consensus on the best treatment strategies is lacking since the earliest accumulation of ad pathology is observed in the nuclei involved in the production of neurotransmitters the ninfaad project aims to investigate whether alterations in brain functioning influenced by abnormalities in different neurotransmitter pathways may be associated with nps in people either with or at risk for ad this aim will be pursued by applying an innovative interdisciplinary approach combining functional magnetic resonance with positron emission tomography imaging fluid ad biomarkers and cognitive data the ninfaad project will provide novel hypothesisbased insights on the cause of these symptoms that will lead to more efficient treatments and improvements in patients prognosis moreover the findings could be exploited to develop more informative biomarkers to be used in trials to test the mechanisms of action and effectiveness of novel interventions targeting behavioural problems in ad
towards onchip plasmonic amplifiers of thz radiation

thirty years ago dyakonov and shur opened a new field in solidstate physics and electronics plasmawave electronics they theoretically predicted that i in nanotransistors plasma waves may oscillate at thz frequencies far beyond the devices cutoff ghz frequencies ii thz radiation can be detected by plasma nonlinearities and iii the current flow can lead to the generation of thz radiation the detection part of the plasmonics promise was proven and nowadays thz plasmonic detector arrays are widely used in the case of emitters the task turned out to be considerably more complicated only recently prx 10 031004 2020 with my teams participation room temperature currentdriven amplification of incoming thz radiation has been demonstrated in an innovative double grating gate structures based on graphene one of the most promising materials for plasmonics these breakthrough results indicate that existing models of plasmonic systems should be reconsidered and that using new 2d materials or their heterojunctions with innovative geometries may lead towards onchip plasmonics amplifiers of thz radiation which is teraplasms main objective the experimental methodology will involve fabrication and thz spectroscopy studies of graphene and alternativetographene unique hgte and ganbased systems with a high mobility 2d electron gas this will allow finding the physical mechanisms responsible for the observed thz plasmonic amplification and select the optimum systems for thz devices in parallel theoretical research will develop physical models of thz plasmonic amplification studied in the experimental part of the project by conducting extensive technological spectroscopic and theoretical research teraplasm will aim to answer the old basic physics and electronics questions on the feasibility of onchip plasmonics amplifiers of thz radiation with important potential applications in wireless telecommunication biosensing security and others
ultrasensitive nanoplatform enabling onsite and continuous water pollutant detection based on analyte fingerprinting

thousands of chemical substances are currently produced by humans for various purposes with a substantial portion leaking into the environment the european commission has already defined the following two priorities protecting our biodiversity and ecosystems and reducing air water and soil pollution within the environment and oceans actions included in the recently approved european green deal programme watersense aims at developing a new concept and respective prototype for universal vibrational spectroscopybased analyte fingerprinting that is performed in continuous manner and enables sensitive monitoring of analytes to attain this main objective we will fabricate magnetoplasmonic nanoobjects that will carry the analytes to be detected these nanocarriers will flow through a micronanofluidic chip system where they will be trapped docked and subsequently optically probed by raman spectroscopy watersense will target the following novel approaches i molecular trapping controlled analyte pollutant molecule loading within the nanocarriers ii tracking and transport manipulation of a single nanoparticlecarrier in a nanosized fluidic chamber iii detection ultrasensitive analyte detection up to 6 orders of magnitude below the required concentration range iv analysis quantitative extremely fast and continuous pollution detection and realtime analysis based on molecular fingerprinting using machine learning algorithms trained on large datasets watersense technology will enable the realtime tracking of concentration changes of a set of important pollutants that represent a danger for humankind and environment revolutionising the field of environmental protection in the long run the watersense sensing concept can also be extended to sampling in the food industry reagent sampling in the pharmaceutical branch detection of biomarkers for molecular diagnostics and examination of fundamental processes in hydrology geology and biology
impact assessment for action competence

impact aims to better understand and provide recommendations on how to measure what learners actually learn in sustainability and climate change education scce central to achieving this goal is the development and validation of the impact assessment framework for users in policy and practicescce is still relatively new in the eu context there is still a lack of understanding of what effective scce looks like and how its impact can be measured as a result an evidence base to inform decisions for further development of programs and policies is still lacking existing evidence is scattered across scientific fields and societal actors often resulting in underutilised feedback loops between monitoring evaluation and implementation these gaps hinder effective policy making and achievement of scce learning outcomesat the core of the impact assessment framework are the concepts of action competence key observable learning outcome of scce and actionorientation key qualities of teaching driving learning in scce impact will design and validate the framework in a usercentred iterative approach through smallscale interventions followed by six largescale case studies selected to cover the lifelong learning scope of scce impact brings together an interdisciplinary consortium with partners from scce research policy and practice in each country a national stakeholder group 35 committed organisations actively codevelops and validates the impactassessment framework contributing to its validity and viability beyond the projects lifetimethe impact assessment framework will allow designers and implementers of scce policies curricula and practices to collect information on the impact they achieve and as such drive improved feedback loops between research policy and practice this ensures that scce materials tools interventions and curricula stay relevant and leads to evidencebased quality improvement of scce policies and practices
development of knowledge and technology to implement retrofilling in power transformers using biodegradable or recycled fluids and fostering circular economy

power transformers play a crucial role in electric power transmission and distribution systems being both expensive and strategically important their prolonged efficient operation is essential to prevent longterm power outages with tens of thousands of transformers worldwide approaching the end of their typical 3040 year lifespan the question of recycling becomes significant remarkably around 95 of a power transformers materials could potentially be recycled recognizing the importance of a circular economy the european commission adopted a circular economy plan in 2020 aiming to shift from a linear take make dispose model to a circular one where waste becomes a new resource while the initial focus was on energy efficiency in transformers the impact of materials is not negligible the upcoming revision of the ecodesign regulation for transformers in 2023 will introduce new requirements on material efficiencythe proposed project will develop research on transformer retrofilling with alternative or recycled insulating liquids this technique is based on the replacement of the mineral oil of a transformer in service with a biodegradable and lessflammable fluid the procedure would lead to safer and more environmentally friendly transformers and could allow the application of higher loads deferring the replacement of equipment in service however the technique has not been sufficiently studied it is needed to evaluate the impact of retrofilling on the operation of the transformer and to assess its economic and technical feasibility projects researchers have applied the circular economy concept to power transformers in various ways during project definitiona evaluating the efficient use of materials throughout a transformers life cycle renewable or rerefined oils instead of conventional oils
making sense of the senses causal inference in a complex dynamic multisensory world

to interact effectively with the complex dynamic and multisensory world eg traffic the brain needs to transform the barrage of signals into a coherent percept this requires it to solve the causal inference or binding problem deciding which signals come from common sources and integrating those accordingly doing so exactly ie optimally is wildly computationally intractable for all but the simplest laboratory scenes it is unknown how the brain computes approximate solutions for realistic scenes in the face of resource constraints this ambitious interdisciplinary project combines statistical computational behavioural and neuroimaging 37tfmri megeeg tms methods to determine how and how well the brain solves the causal inference problem in progressively richer multisensory environments the key hypothesis is that observers compute approximate solutions by sequentially selecting subsets of signals for perceptual integration via attentional and active sensing mechanisms guided by the perceptual tasks they are executing their prior expectations about the worlds causal structure and bottomup salience maps i will build parallel normativeapproximate bayesian and transformer network models of these processes and combine those with behaviour and neuroimaging to unravel the neurocomputational mechanismsthe project will develop a novel computational and neuromechanistic account of causal inference in more realistic multisensory scenes addressing fundamental questions about binding inference and probabilistic computations by bringing lab research closer to the real world it will radically alter our perspectives shifting from nearoptimal passive perception in simple scenes to active information gathering in the service of approximate solutions in more realistic scenes it has the potential to inspire new ai algorithms and drive transformative insights into the perceptual difficulties older and clinical populations face in the realworld
paradigm shift in stroke accurate diagnosis and evaluation of all treatment options in any hospital at any time

methinks aims at revolutionising stroke diagnosis by empowering any hospital in the world to evaluate at any time all treatments options today this is only possible using advanced medical imaging which is available in around 50 of the hospitals methinks will do it with standard medical imaging which is available 247 in any hospital also in rural areas and less developed countries it leads to a reduction of timetotreatment of up to 60 minutes in stroke time is brain ie every minute counts and means that the patient can talk walk have cognitive capabilities and live it will also open a huge market opportunity since our technology can run in all small mid and major hospitals around the worldbypassing advanced medical imaging is a paradigm shift that requires a large and expensive clinical trial that is why we are considered as a highrisk company by vcs needing the support of the eic accelerator with the eic support we have the team to make that shift real
motivic stable homotopy theory a new foundation and a bridge to padic and complex geometry

this project is centered on the field of algebraic geometry and involves homotopy theory and analytic geometry the overall goal is to unveil the underlying principles of a large variety of cohomology theories in algebraic and analytic geometry and develop robust foundations that facilitate the study of those cohomology theories from the vantage point of homotopy theory this will be achieved through innovations of motivic stable homotopy theory beyond the current technical limitations of a1homotopy invariance in addition its interdisciplinary perspective will be advanced especially in relation to padic geometry and complex geometry the research proposal consists of 5 main objectives which are organically related to each other the first objective is to establish a six functor formalism which would be the most important challenge in nona1invariant motivic stable homotopy theory the second objective is to investigate the kernel of the a1localization and aims to describe it in terms of padic or rational hodge realization following the principle of trace methods of algebraic ktheory in particular in the padic context this will lead to the padic rigidity which will conclusively connect motivic homotopy theory with padic geometry the third objective is to find out the potential of unstable motivic homotopy theory and develop calculation techniques the forth objective is to establish a general and universal construction of motivic filtration of localizing invariants such as algebraic ktheory and topological cyclic homology the last objective is to explore the analogue in complex geometry which is an interesting unexplored subject that will pave the way for further developments of motivic homotopy theory for a broader range of analytic geometry
twinning for excellence in tubitak on the fatigue simulation of additive manufactured parts

additive manufacturing is one of the most promising technologies under the umbrella of advanced manufacturing identified by the european commission as one of the key enabling technology ket which can help achieve eus twin transition towards a green and digital economy the global market for additive manufacturing is expected to reach 402 billion by 2027 and the market for fatigueresistant additive manufacturing parts is expected to grow at a compound annual growth rate cagr of 124 from 2022 to 2027the fatigue life of am parts presents nonnegligible discreteness challenging the fatigue performance evaluation tubitak has advanced infrastructure with significant amount of experience in fatigue tests on different grades of super alloys particularly ni based super alloys but has several weaknesses in the areas addressed in the fatsam project mainly lack of simulations expertise both in the simulation of the am process and in the posterior simulation of the fatigue behaviour of these partsleading scientific institutions cimnecerca spain and ltu sweden have joined forces to bring expertise in these simulation fields and enhance the research management of tubitak by means of a diverse range of initiatives the partnership encompasses skills acquisition and networking through shortterm stays of tubitak senior researchers at cimnecerca and ltu externships of young researchers at cimnecerca and ltu the organization of workshops short courses joint participation in conferences and in scientific publications and training on project management and administration for both researchers and supporting staff
business case development for hightemperature thermal battery integration in the industrial sector

the thermocase project is dedicated to crafting a robust business case for the thermal battery technology developed within the eufunded thermobat project with a primary focus on applications in hightemperature industrial heat its fundamental objective lies in validating the commercial potential of this technology through meticulous engagement with prospective endusers comprehensive cost assessments and an indepth exploration of market dynamics employing a customercentric approach thermocase ensures that the technology seamlessly aligns with market requirements preferences and behaviors furthermore the project aims to assess scalability and replicability potentially catalyzing a transformation in the industrial energy landscape the expected impact is substantial encompassing decarbonization greater energy efficiency and the emergence of a sustainable market for hightemperature heat solutions in essence thermocase serves as a bridge between groundbreaking innovation and practical market implementation offering not only cleaner and more costeffective industrial heating but also significant progress towards advancing europes environmental and sustainability objectives
microglia engineering and replacement to treat brain disease

microglia are highly versatile brain resident cells that offer tremendous therapeutic opportunities they are instrumental for maintaining healthy brain physiology and act as the primary modulators of neuroinflammation and disease microglial dysfunction has been convincingly linked to a myriad of neurological disorders making these cells a prime target for therapeutic intervention remarkably microglia are embryoderived cells that selfmaintain for life with negligible replacement by the bone marrow this astonishing selfrenewal capacity offers a unique opportunity for cell therapy the ability to replace dysfunctional microglia with healthy or genetically enhanced counterparts may transform the way we treat brain disease but how can we replace a cell that is so adept at selfrenewal in a tissue that is shielded from the periphery currently there are no translatable approaches for the specific replacement of microglia furthermore bone marrow progenitors are unable to adopt the embryonic microglial phenotype by building on our unpublished observations and developing innovative technologies i aim to lay the foundation for microglial replacement therapy we intend to develop an original and translatable strategy for the specific and nearcomplete replacement of embryonic microglia with adoptively transferred progenitors next by combining ipsc differentiation with genetic barcoding singlecell analysis and in vivo screening we aim to identify progenitors that efficiently traffic to the brain and engraft as bona fide microglia moreover we will investigate how we can transform microglia into local protein production factories as a potential basis to treat neurodegenerative diseases finally we will set up in vivo pooled crispr screens to identify the gene networks that can modulate and positively enhance microglial disease responses replacemi has the potential to result in a new and eagerly awaited breakthrough in treating brain disease