Dragon09/odtu_chatbot huggingface dataset:
regional innovation valleys for circular economy

in line with the new european innovation agendas flagship on accelerating and strengthening innovation in european innovation ecosystems across the eu and addressing the innovation divide the rivcircular project proposes the collaboration of six european regions in southern madrid central haut de france northern innlandet and brandenburg and eastern kosice and kiev europe in the field of the circular economy the rivcircular project will focus its actions on five key priorities of great interest to the participating regions of the circular economy these areconstruction and demolition waste cdw circularitywaste resource and energy recaptureelectric vehicle ev batteries recyclingcircular economy in the textile industryimproving the digitization of the circular economythe rivcircular consortium will develop two types of activitiescompetitive selection and funding joint open calls implemented via financial support to third parties fstp of six interregional innovation calls in the circular economy area including deep tech linked to key priorities mentioned above a consistent set of core collaborative activities to improve the connections and cooperation between the participants regions with a different innovative profileocommunity of madrid and brandenburg are strong innovatoroinnlandet and hauts de france are moderated innovatorokosice and kiev are emerging innovatorcollaborative activities will be developed in the following areasnetworking and coordination structures and tools to facilitate innovation developmentsupport for local innovation hubs networkingcapacity and skills buildingjoint procurement initiativesintegration of social innovators and civil societyidentifying marketaccess barriers and enablers
prototypes of magnetic imaging systems for europe

promise is a consortium that focuses on the application of nitrogen vacancy nv in diamond quantum technology for imaging the aim is to guide the development and use of this mature and promising quantum technology which is known for its ease of operationpromise leads the nv based quantum imaging sensors to the next level of development building widefield magnetometer prototypes to measure relevant samples into operational environments trl7 to foster its market uptake the promise widefield nv magnetometer excels in imaging compared to other technologies by generating magnetic field maps without scanning this results in a faster acquisition time orders of magnitude faster than scanning protocols a wide field of view and increased sensitivity this speed up in the acquisition is the key to open up its use in a wide range of new applicationsthe consortium is committed to leveraging the developed nvbased prototypes for a consolidated market uptake by involving relevant partners along the whole valuechain a unified compact affordable and lowconsumption benchtop prototype will be designed and developed without impacting performance and functionalities machine learning software is being developed to streamline both data acquisition and data analysis to facilitate for nonquantum expert use of the device and paving the way to automate inspection process promise also includes expertise that will contribute to standardising designs and methods required for the industryduring the project four use cases will validate the prototypes impacting the semiconductor industry material science aerospace and biotechnology the industry in general will benefit from a tool that will enable improvements in their devices materials and production processes as well as provide a deeper understanding of mechanisms at the atomic level it will also monitor events and dynamics to enable more accurate predictions and address pressing challenges in various domains
materials for smarter autonomous sensors

masauto is a research and training program for 10 early stage researchers esrs focusing on developing a new generation ofmaterials that will overcome the current bottlenecks in the capability and capacity of autonomous sensors the design of materials forremote sensing applications such as realtime information on climate changes or for intelligent transportation systems stillrepresents an enormous challenge the ongoing exponential growth of the internet of things iot ecosystem which could reach atrillion devices in the near future poses a serious challenge in terms of powering and interconnecting the underlying devices the fullpotential of the iot will only be achievable if devices i have a reliable and sustainable autonomous power supply and ii are capableof processing information with reduced power requirements a promising approach to address the first challenge is the use of anenergy harvestersupercapacitor combination while for the second challenge a promising strategy is the use of nonvolatile randomaccess memories its therefore crucial to develop materials for energy harvesting and storage as well as low loss electronicsthrough masauto we will create a highly trained cohort of scientists and technologists enabling rapid and broadcommercialization and implementation of technology in public and private research centers and in industrial institutions the esrswill acquire a solid multidisciplinary scientific training from basic science to industrial applications which will enable them togenerate new scientific knowledge of the highest impact masauto will also deliver practical training on transferable skills in order toincrease employability prospects and to provide the researchers with access to highly skilled employment opportunities in the privateand public sectors the overarching aim of the network is to position europe as a leader in autonomous sensors for smart healthcareautomotives industry and agriculture
habitability of exoearths in various atmospheric oxidative conditions

among the thousands of extrasolar planets discovered earthlike objects focus our attention to seek new habitable worlds eleven earthsized planets have already been discovered in the habitable zone hz of their hoststar including three in the trappist1 planetary system deciphering their atmospheres is the challenge of the next decade in exoplanetary science stressing out urgent needs in fundamental data for these objectsmy aim is to investigate how the atmospheric organic reservoir forms and evolves in the frame of humid exoplanetary atmospheres in habitable zone i will also quantify the impact of theses processes on the climate and on the potential for prebiotic chemistry on these planets i propose to consider the role of organic aerosols as prebiosignature those are nanoparticles chemically produced in the atmosphere i will address the capacity of exoearths atmospheres to produce organic aerosols in various oxidative conditions and their further physical and chemical interactions with atmospheric water to tackle these questions i will combine experiments and models to discover the reactivity that occurs in atmospheres within an extensive range of oxidation conditions i will experimentally determine the physical properties of the aerosols and then model their radiative impact and their propensity to generate clouds in the atmosphere i will also experimentally identify the prebiotic molecules composing the aerosols that dissolve into clouds this transfer from the dry organic reservoir towards liquid water is indeed critical for the emergence of lifethe ercadg oxyplanets project will contribute to interpret and suggest observations for the future nasajwst and esaariel space missions furthermore it will reinforce our knowledge of the habitability of earthlike exoworlds potentially reappraising the conditions for life to appear on the earlyearth
new explainable models that allow the user to interact with them to benefit digital heritage image restoration

digital heritage are computerbased materials of enduring value that should be kept for future generations for example photographs and videos as an asset of our times historical photographs and videos can greatly benefit from digital restoration techniques from colorization or color enhancement to the removal of scratches or other artefacts in this project we focus on two cases for digital heritage restoration colorization and color image enhancement of old photographs and videos historically image enhancement methods were rooted in tailormade priors using wellunderstood physics andor statistical models now deep learning approaches leverage large amounts of data to train generative models that can hallucinate on the generated images however the useful versatility of deep learning approaches faces two main problems a deep models are black boxes whose inner behaviors are difficult to interpret which is an important drawback when assessing their reliability studying failure cases and improving their robustness this hinders their direct adoption in the digital heritage restoration process thus explainability is a highly desirable characteristic for image enhancement models b image enhancement problems are illconditioned especially for digital heritage photos eg there are many plausible colorizations of a grayscale image yet users rarely have a say in the process of enhancement with deep models which is typically decided by the model based on statistical decisions thus physically plausible or realistic solutions should be favored as well as allowing the end user to explore and guide the algorithm towards the intended solution in this project we propose to confront the illposed nature of image enhancement problems by a comprehensive involvement of the user in the loop shifting the important decisionmaking from the model to the user this will lead to results that are user oriented and achieve higher quality
increasing the uptake of ai technology in retail

technological advancements and changes in consumer behaviours after covid19 require retailers to accelerate their digital transformation to deliver differentiated consumer experiences and interactions nevertheless the adoption rate of key digital technologies such as ai by msmes remains significantly low in the eu desi 2022 positioning the union far from the digital decade target of 75 european companies adopting ai technologies by 2030 in most of the countries represented in the consortium the ai adoption rate does not even reach the eu average the european wholesale and retail trade sector is the 3rd to last in the eu regarding the adoption rate of ai technologies a lack of a skilled workforce to adopt the integration of ai in retail hinders not only market growth in the eu and represents a significant risk for european smes of falling behind their global competitors and missing out on significant opportunities for growth and efficiency and for making companies greener in this context the inair project proposal aims to reduce the ai skills gap of european msmes in retail to let them exploit the potential of ai for greening their businesses support their competitiveness in the global market and ultimately contribute to reaching the digital decade target of 75 european companies adopting ai technologies by 2030 to achieve its aim over 30 months the consortium willidentify ai skills needs and gaps for msmes in retail in cy de it pl and rodevise test and implement a scalable hybrid ai skills development program to reupskill at least 150 owners and employees of msmes working in retaildevelop teaching and training resources to support vet providers in integrating the project resources and tools into their workkey results ai skill needs gaps analysis in retail ai core curriculum skills assessment tool and open educational resources for workers and owners of micro small and mediumsized retailers elearning environment
ether selfevolving terrestrialnonterrestrial hybrid networks

ether aims to provide a holistic approach for integrated terrestrialnonterrestrial networks targeting at 100 network coverage 9999999 service continuity and 9999999 reliability with 3 times higher energy efficiency and 95 total cost of ownership reduction compared to current terrestrial only deployments to achieve these goals ether develops solutions for a unified radio access network ran and for the energyefficient aienabled resource management across the terrestrial aerial and space domains while creating the business plans driving future investments in the area to that end ether introduces and combines a series of key technologies under a unique 3d multilayered architectural proposition that brings together i a ue antenna design and implementation for direct handheld access in the integrated network ii a robust unified waveform iii energyefficient seamless horizontal and vertical handover policies iv a zerotouch management and network orchestrator to selfadapt to rapidly evolving traffic conditions without human intervention v a flexible payload system to enable programmability in the aerial and space layers vi joint communication compute and storage resource allocation solutions targeting at endtoend network performance optimization leveraging efficient and novel predictive analytics schemes and vii energyefficient semanticsaware information handling techniques combined with edge computing and caching for reduced latency across the distributed 3d compute and storage continuum
the role of microbial dormancy as an ecological and biogeochemical regulator on earth

dramatic shifts in earths climate and geography have profoundly influenced biological innovation and biogeochemical cycles despite widespread and extreme environmental change including global glaciations lasting millions of years microbial life has thrived accruing distinct phylogenies morphologies physiologies and functions over geological time microorganisms use dormancy as a survival strategy to persist throughout unfavorable changes in their environment dormant organisms withdraw from the present environment and become part of a seedbank investing instead in contributing to the diversity and function of future ecosystems this leads to the rousing proposition that a shift in the activedormant fraction of a microbial population may profoundly affect ecological functioning and elemental cycling despite this intriguing connection we lack fundamental knowledge on the prevalence triggers and timescales of dormancy and how these factors affect ecosystems and elemental budgets i will address this by elucidating the role of microbial dormancy as an ecological and biogeochemical regulator on earth the cryosphere provides a unique testing ground to meet my goals here microbes contend with dramatic variations in environmental extremes on timescales ranging from days to thousands of years through an innovative datadriven approach involving experiments and modelling i will 1 quantify the prevalence of dormancy among taxonomically and functionally diverse microbial communities 2 identify the triggers and timescales of dormancy 3 link dormancy to the emergence survival and evolution of microbial populations and 4 elucidate the role of dormancy as a regulator of biogeochemical cycles understanding the interplay between microbial dormancy ecological processes and biogeochemical cycles holds the key to understanding the coevolution of life and our planet and how life excels throughout glacialinterglacial cycles and other global changes
sexual adaptation across evolution the neural basis of female sexual motivation

what are the molecular mechanisms that determine intra and interspecies behavioral variation we propose to address this key outstanding question in evolutionary neuroscience by exploring a striking example of adaptive evolution of female sexual behavior comparing two closely related nematode species that use different mating strategies we discovered that while androdioecious hermaphroditemale c elegans hermaphrodites are indifferent to males dioecious femalemale c afra females exhibit a pronounced sex drive actively engaging in and initiating mating importantly we found that under induced reproductive pressure the passive hermaphrodites switch to femalelike behavior suggesting the existence of a suppressed neuronal circuit in this proposal we will employ an evolutionary comparative approach to deconstruct the neural basis of female sexual motivation by addressing three objectives 1 explore and quantify the extent and molecular basis of female sexual motivation in c afra 2 characterize the neuronal underpinnings of sexual attraction by mapping gene expression connectivity and network dynamics in females and 3 investigate how mating pressure promotes sexual adaptation in c elegans hermaphrodites by monitoring the evolving changes in genetics epigenetics and the neuromodulatory network in transition states from passive to active sexual behaviorsour suggested program challenges longheld assumptions about the role of female sexual motivation which despite its complexity remains understudied compared to male mating behaviors our unique approach utilizing the power of c elegans alongside tool building for investigating c afra will not only unveil the molecular mechanisms governing the emergence of novel female sexual behaviors but also create a blueprint for understanding their evolution
petroambiguity oil environment and national identity in the bruneian imaginary

petroambiguity oil environment and national identity in the bruneian imaginary will uncover diverse new narratives of the anthropocene beyond the global north in close collaboration with my supervisor prof sissel furuseth head of the critical petroaesthetics research group cp into which i will be integrated i will investigate the stories of oil in brunei whose oilbased economy has allowed for the preservation of its rainforest and a generous citizen welfare system its story is distinct to those that currently dominate the energy humanities characterized by economic instability environmental injustice and political violence through vital training and interactions with my supervisor and cp researchers i will develop a synthesized approach informed by material ecocriticism scale reading and intersectionality to analyse contemporary cultural forms in the bruneian petroculture i will introduce petroambiguity as a groundbreaking concept that resists universalizing oil encounters by articulating the intraactions between individual sociocultural national and global perceptions of oil by moving beyond the global north this project addresses inequities within local and global energyclimate discourses an urgent and crucial undertaking for a just energy transition for all this project will engage in highimpact dissemination activities to enhance understanding of sociocultural factors behind climate inaction petroambiguity will be bolstered by feedback from renowned energyclimate experts on my advisory board prof stephanie lemenager university of oregon prof adeline johnsputra xian jiaotongliverpool university and prof indra verland norwegian institute of international affairs the oslo school of environmental humanities based at the university of oslo will create the perfect environment as host for cuttingedge research groups on energy and environment to which petroambiguity will add an essential noneuropean angle
ai adviser for agronomy and food safety

according to the fao up to 40 of food crops worldwide are lost annually due to pests and plant diseases resulting in 13 bn tonsyear of food wasted at the same time eu and countryspecific regulations limit the amount of chemicals that farmers can use to fight crop diseases farmers lack the time and knowledge to make sure to comply with all rules and chose the best course of action thanks to eica agrivi will develop a brand new software an aidriven digital advisory tool that will be built on our proprietary algorithms agricultural and cpp knowledge base and will guide farmers through the whole process when to spray based on ai pest risk detection which products to use which rules must be respected when is safe to harvest a multidimensional impact is expected improved productivity and food safety less post harvest food waste decreased usage of pesticides improved soil health and biodiversity
crete aegean h2 valley

the cretanaegean hydrogen valley is covering a defined geographical area in which hydrogen will serve energy storage and energy aggregation activities via reuse of energy stored to the grid through fuel cells as well as green h2 road transport in the future green marine h2 fuel applications as well fuel for industry via its use in adjacent traditional power plant the craveh2 is a substantial financial investment and covers all necessary steps in the hydrogen value chain from production securing dedicated renewable electricity production from the 582 mw aegean project to subsequent high pressure storage distribution to hydrogen filling station and potential other offtakers the cretanaegean hydrogen valleys has started and has the full support of the regional authorities partners that pursue a hydrogen economy craveh2 is necessary for piloting hydrogen market in crete and greece but also located in very pivotal location where leading partner eunice interconnects their 580 mw aegean wind energy project and their new greek egypt electricity transmission interconnection allowing for cheap african pv power to be introduced into the greek electricity and hydrogen market the location of the main hydrogen production and the above connections is the port of atherinolakkos which could allow future deployment of use of hydrogen as maritime fuel the main assets scope of crave h2 are the integration of alkaline electrolyser 3 mwel 500 tonsyear h2 from denorah2 compression and storage together with hrs 1 ton pem fuel cell 04 mwel from ballard employ hydrogen buses by local company reuse of water produced from the fc including all installation works and required acdc rectifier and dcac converters from eunice lca lcc and study of other h2 uses in power plant industry and maritime applications
fair competition in app markets

app marketssuch as apples app store or google playhave significant economic importance and drive digital innovation in 2021 the app store alone facilitated transactions worth over eur 511 bn which equals the gdp of swedenhowever app market operators have also attracted severe scrutiny from regulators due to their integrated gatekeeper structure they operate a marketplace while also competing within them with their own apps this gives app market operators an incentive for selfpreferencing they promote their own apps over thirdparty apps consequently distorting competition and harming app innovationuncertainty remains regarding how selfpreferencing can effectively be counteracted with public policy interventions although legislators have advanced bills to restrict selfpreferencing including the digital markets act existing theoretical models are scant make mixed predictions and lack empirical validation this uncertainty is problematic because app markets represent a complex node of the digital economy where regulatory interferenceif not done rightcan likewise harm innovationthis project will empirically evaluate which publicpolicy interventions against selfpreferencing are effective in restoring app developers innovation incentives it will i explain the effects conditions and mechanisms through which the interventions function and compare ii permit a validation of existing theory and iii aid stakeholders and government agencies in developing appropriate strategiesto achieve this objective this project will i conduct four indepth quasiexperimental studies ii which exploit plausibly exogenous policychanges against selfpreferencing iii leverage unique timeseries productlevel data from mobile app markets and iv integrate the findings into a holistic understanding using measurement and analyses protocols an extensive communication plan ensures the transfer of scientific expertise into public knowledge