Dragon09/odtu_chatbot huggingface dataset:
encouraging a digital and green transition through revitalized and inclusive unionemployer negotiations

the egruien project aims to answer the question of how best to ensure a just green and digital transition through social dialogue institutions and practices to protect represent and include precarious and nonstandard workers and to protect affected workers currently in primary labour market jobs from falling into precarity europe is undergoing a period of rapid fundamental transition which is affecting production employment job design and skill requirements in many industries such as in the sector cases egruien investigates automotive energy ondemand transportationtaxi and care services this presents contradictory goals for economic and environmental reasons the transition must occur as quickly as possible yet this fuels processes of creative destruction that undermines the efficacy of social dialogue social dialogue however has often been a tool to guide transitions egruien will research how past social dialogues have managed similar transitions and how current social dialogues are faring through participatory action research with actual and potential social partners egruien will create a research basis to revitalize social dialogue to manage the green and digital transition this will providing us with researchbased tools for more inclusive and effective social dialogue egruien has nine workpackages management wp1 history local longitudinal historical case studies wp2 four sectoral studies autos energy care and ondemand transport wp36 eulevel coordination action research wp7 new social dialogue crosscountry analysis wp8 and dissemination wp9 the historical research provides a basis for the sectoral studies which provide a basis for eulevel participatory action research wp7 and crossnational analysis wp8 dissemination in is built into the research design through participatory research but also wp9 enables widespread dissemination among practitioners policy makers and academics
immigrantnative health disparities in ageing societies an intersectional approach

immigrants arrive to receiving countries in excellent health yet compared to natives their health deteriorates more rapidly why this is the case remains poorly understood due to the scarce availability of large longitudinal datasets useful to explain the dynamic of immigrants health over the lifecourse in the near future the immigrantnative health gap is likely to be further exacerbated by population ageing in order to formulate effective policies to reduce immigrantnative health gaps we need a deeper understanding of the causes of the unhealthy ageing of immigrantsmighealthgaps undertakes the most comprehensive analysis to date into the study of immigrantnative health disparities mighealthgaps has three main research objectives 1 to quantify the gaps in healthy ageing trajectories between immigrants and natives by age gender and socioeconomic status and their interactions 2 to determine the impacts of family composition and family ties in generating these gaps 3 to identify the critical events and circumstances in immigrant lives that put them on a different healthy ageing trajectory from nativesmighealthgaps addresses these objectives in a comparative and multidisciplinary framework combining longitudinal survey data with large sample sizes from several european countries and registry data from the nordic countries including the total population it applies cuttingedge statistical methods to assess the causality between the abovementioned mechanisms and the immigrantnative health gaps over age the workingage population including working age immigrants will soon enter ages at which the risk of developing health frailties will be higher addressing these key objectives is crucial to formulate effective policies to prevent immigrants health excessive deterioration and to make tangible improvements in the process of integrating immigrants into the receiving societies
the evolution of neural circuits for navigational decisions from synapses to behavior

of the 12 million animal species described on earth more than 80 are insects as for mammals each insect is equipped with a brain that has evolved to optimally control the species behavior in the context of its environment in more than 450 million years of evolution the neural circuits guiding behavioral decisions have diverged from an ancestral version to enable insects to conquer every terrestrial habitat on the planet and to equip many species with behavioral strategies that rival even mammals in complexity these circuits thus have to be rigid enough to maintain their ancestral core functions while also being sufficiently adaptable to enable the addition of novel functions the mechanisms of how this is achieved across vast evolutionary timescales are unknown while this is true for all animals insects with their numerically simpler brains and a comparably rigid neuroarchitecture offer the unique chance to unravel the evolution of decision making circuits at the level of identified neurons and synapses aided by recent technological breakthroughs and the establishment of rich groundtruth data in the fruit fly i will combine whole brain anatomy connectomics and computational modeling with electrophysiology and behavior to dissect the evolution of the central decision making center of insect brains the central complex across the entire insect phylogeny i aim to reveal how this region has evolved in the context of the entire brain how its intrinsic circuits have changed with increasing evolutionary distance circuit phylogeny and which changes in its circuitry are linked to specialized behavioral abilities circuit adaptation finally i will directly establish behavioral correlates of identified circuit features circuit function attaching relevance to connectomics data in a way that is achievable only by a wide comparative approach raising our understanding of structurefunction relations in animal nervous systems to a new level
developing bias auditing and mitigation tools for selfassessment of ai conformity with the eu ai act through statistical matching

the vision behind actai is to utilize statistical matching for mitigating and auditing bias in artificial intelligence ai models ai has been rapidly growing in various industries from financial services to healthcare education and job recruitment however as ai algorithms have become increasingly sophisticated and pervasive in decisionmaking processes concerns have arisen about their fairness and compliance with regulations in particular the eu ai act requires that ai providers in highrisk applications such as employment credit or healthcare to identify and thereby address discrimination by their algorithms against certain demographics of people however ensuring compliance with the act can be challenging particularly for ai startups that may not have the resources or expertise to fully understand and implement the acts requirements addressing existing disconnects between ai fairness toolkits capabilities and current practitioner needs the actai tool can be easily integrated into any ai workflow in a plug and play fashion to continuously monitor and improve its fairness a key aspect of actai is the ability to operate with different types of data tabular images and text in a variety of contexts binary and multiclass classification and regression it is also able to match datasets in different domains including outofdistribution data even if these datasets have different numbers of variables or features to ensure usability of actai it will integrate feedback from relevant stakeholders from two immediate target markets financial service and healthcare
ua euratom ncp support of ukrainian research entities integration into nuclear research funded by the euratom research and training programme 20212025

uaineuratom21 is 24 months project is addressed to support activities of the ukrainian national contact point to euratom ua euratom ncp and aimed to contribute to better integration of ukrainian research entities researchers into european nuclear research networksuaineuratom21 project has the following specific objectivesstrengthening the integration of ukrainian stakeholders in paneuropean initiatives and research relevant to all research areas covered by the euratom research and training programme 20212025enhancing of ua euratom ncp competenceeuratom programme awareness raising among ukrainian stakeholdersthe uaineuratom21 project audience is divided into several target groupsdirect target groups ua research community eu research community ua coordination and support bodies eu coordination and support bodiesindirect target group the general publicthere are four work packages that are planned for project implementationwp1 strengthening of networking activities between ua and eu researcherswp2 ua euratom ncp competence reinforcementwp3 dissemination exploitation and communicationwp4 project managementall activities of the uaineuratom21 project are implemented by the national science center kharkov institute of physics and technology that has been officially appointed by the ukrainian authorities as ua euratom ncp since 2017
evolutionary principles of nuclear dynamics and remodelling

every eukaryote has a nucleus a double lipid membranebound compartment that encapsulates the genome but almost every nucleus is different in shape size molecular composition spatial organisation and dynamics through the cell cycle given its fundamental and universal functional roles in protecting the dna and regulating the exchange of information and control machinery between genome and cytoplasm one might ask the question why are there so many ways to build and remodel a nucleus bringing together comparative genomics phylogenetics quantitative cell biology and experimental evolution in multiple microbial model systems drawn from across the eukaryotic tree we set out to elucidate the genomic biophysical and evolutionary factors that determine nuclear dynamics and remodelling karyodynamics within the context of cellular architecture and function a comparative perspective driven by phylogenetics will enable us to separate universal principles of karyodynamics from species and nichespecific adaptations and dissect the reasons for the evolutionary and developmental plasticity that we observe experimentally in turn we can use these principles to infer predict and validate phenotypes in novel and emerging model systems finally a more comprehensive understanding of the mechanisms responsible for karyodynamic phenotypic diversity would allow us to reconstruct evolutionary trajectories all the way back to the origins of the nuclear compartment a landmark event in the evolution of eukaryotes from an archaealbacterial symbiosis over 2 billion years ago
ultralowpower logicinmemory devices based on ferroelectric twodimensional electron gases

microelectronics components are at the core of our modern economies the corresponding global market is exponentially growing at an annual pace of 1015 and should reach the trillion by 2030 the technoeconomic framework that has been driving this industry is based on boolean logic von neumann architectures with separated computing and memory units and cmos transistors it is pictured by the famous moores law describing the continuous shrinking of transistor size for years dennards scaling law of the power consumption provided a path to shrinking such transistors while keeping the power density constant however as technological nodes become today as small tens of atoms we are hitting fundamental limits leading to heating and preventing this downscaling simultaneously the power consumption of information and communication technologies ict represents nearly 5 of the worlds energy consumption to mitigate these civilizational issues new devices and architectures for ict must be invented the consensus reached by the microelectronics community is that to reduce power consumption i memory and logic units must be brought together and ii the inherent nonvolatile properties of ferroic materials are a valuable asset to avoid the static power consumption uplift proposes to develop the poc of a nonvolatile spinbased ultralow power aj logicinmemory component coined feso which harnesses the ferroelectric control of spincharge interconversion discovered within the erc fresco we will pattern devices down to the 100 nm scale and aim for 100 mv output voltages 1 ns operation speed and endurance 109 cycles uplift will benefit from a welldefined path towards the commercial exploitation including a decadelong collaboration between the pi and two researchers from spintec in grenoble with whom the pi is launching a startup company that will exploit the patent portfolio filed within fresco this poc project will serve both as a support and a propeller for the startup to be created in q1 2024
novel aibased system for orthopedic surgery to help surgeons fully automate the preoperative planning of knee osteotomy

peek health sas overall mission is to develop innovative technological solutions for preoperative planning of orthopedic surgeries increasing the quality of healthcare services decreasing the overall cost of care and providing added value to surgeons patients and partners based on a successful manual version with significant market traction peekmed peek health introduces the innovative aibased peekmedauto the first system that fully automates preoperative planning for osteotomies around the knee correcting bowlegs or knock knees a surgery allowing patients to postpone knee replacement for several years or avoid it altogether the need for this innovation became apparent by the reported difficulty of planning osteotomies by surgeons due to its complexity and limitations of tools available through significant and disruptive impact peekmedauto will establish peek healths position in the market generating 40m in revenue by 2026 and a cumulative profit of 40m
resist materials for transition to green processing in semiconductor industry

alternative to mainstream silicon cmos technologies semiconductor manufacturing process technologies able to sustain in the mid and longterms the fast pace evolution of device performance miniaturisation and cost while reducing environmental footprint resin green proposes the development of new resist material platforms that can be processed under conditions offering clear advantages regarding reduction of environmental footprint in particular new resist chemistries targeting to materials than can be processed deposited and developed by using environmentally friendly solvents such as water very dilute aqueous base solutions or green organic solvents in this context we will develop new resist materials in order to eliminate the use of organic solvents and aqueous alkaline solutions that are currently used in the lithographic process at semiconductor manufacturing industry the lithographical process steps that demand the major amounts of solvents are the spin coating solution of the photoresist as well as the development process we target to replace the standard organic solvents which are used in spin coating and the highly alkaline tmah solutions used in development with water the use of greener organic solvents and very dilute basic developers will only be considered if necessary for meeting high performance requirementsour target is to investigate biosource materials and new photoresist platforms suitable for exposure at 193 nm 248 nm or euv and achieve significant breakthroughs by designing a complete process using renewable resources and neither organic solvent nor hazardous chemicals in addition ebeam lithography will be considered especially for evaluating the high resolution potential of the proposed resist materials
smart farm and agrienvironmental big data space

overirrigation and excessive use of synthetic fertilizers and pesticides increase yield cost contaminate the aquifer and destroy the biodiversity while suboptimal livestock production increases ghg emissions contributing to the global warming the solution on the triangle a global food needs b competitivenessfarmers fair income and c sustainable farmingprotection of the environment lies in knowledge modern farms create a huge amount of data based on iot sensors and drones while vast eo data become available via copernicus hubs agridataspace aims to establish itself as the game changer in smart farming and agrienvironmental monitoring and strengthen the smartfarming capacities competitiveness and fair income by introducing an innovative intelligent and multitechnology fully distributed platform of platforms to achieve technological maturity and massive acceptance agridataspace adopts and adapts a multidimensional approach that combines state of the art big data and dataspaces technologies bdvaidsagaiax with agricultural knowledge new business models and agrienvironment policies leverages on existing platforms and edge computing and introduces novel concepts methods tools pilots and engagement campaigns to go beyond todays state of the art perform breakthrough research and create sustainable innovation in upscaling realtime sensor data already evident within the project lifetime agridataspace will be validated via 24 use cases in 23 pilots in 9 countries representing more than 181000ha with 25 types of crops that span from southwest to northeast europe outdoor and greenhouse crops organic and nonorganic production and more than 2000 animals of 5 types more than 4200 farmers will provide insights and more than 89000 will be directly informed more than 1600 sensors will be utilized and more than 4500 additional sensors will be installed to measure realtime data including more than 2500 rfid tags
targeting epilepsy ictogenesis process through pannexin1 modulation

epilepsy affecting about 1 of the population comprises a group of neurological disorders characterized by the periodic occurrence of seizures which disrupt normal brain function despite treatment with current antiepileptic drugs one third of epileptic patients are pharmacoresistant and most patients suffer from side effects making it crucial to develop novel therapies current drugs indeed target channels and receptors involved in normal brain function not specific to the diseaseour academic work has recently identified a novel and innovative target for epilepsy our project thus aims at bringing to the market a new generation of antiepileptic drugs specifically targeting the disease
climatesmart reforestation through the lens of remote sensing and microclimate sensors

to address the escalating threat of climate change there is an urgent need to develop smart strategies that bolster climate resilience within the context of climate change mitigation and adaptation policies reforestation plans stand out as one of the most crucial naturalbased solutions however the multifaceted role of forests as both warming and cooling agents presents a complicated challenge that remains a topic of ongoing debate by employing cuttingedge machine learning algorithms advanced remote sensing technologies and comprehensive groundbased empirical assessments this proposal titled ecoclimate navigator aims to uncover how smart reforestation plans can contribute to mitigating local climate change this project aims not only to enrich existing policy discussions around the topic of reforestation but also to add detailed and novel knowledge beyond what is already known on the role of forests in climate regulations at a global scale in addition to the expected outstanding outputs of this project the marie sklodowskacurie action program will set the experienced researcher ei sara alibakhshi on the right track to build her academic career and eventually become one of the future leaders in the field this program provides the ei with an excellent opportunity to conduct novel research along with new collaborations within the hosting organization and its partners which is in line with the objectives of the horizon europe framework programme
boosting photosynthesis to deliver novel crops for the circular bioeconomy

there is a need for a groundbreaking technology to boost crop yield both grains and biomass and its processing into materials of economic interests novel crops with enhanced photosynthesis and assimilation of greenhouse gasses such as carbon dioxide co2 and ozone o3 and tailored straw suitable for industrial manufacturing will be the foundation of this radical change we are an alliance of european plant breeding companies straw processing companies and academic plant scientists aiming to use the major advances in photosynthetic knowledge to improve barley yield and to exploit the variability of barley straw quality and composition we will capitalize on very promising strategies to improve the photosynthetic properties and ozone assimilation of barley i tuning leaf chlorophyll content and modifying canopy architecture ii increasing the kinetics of photosynthetic responses to changes in irradiance iii introducing photorespiration bypasses iv modulating stomatal opening thus increasing the rate of co2 fixation and o3 assimilation beside the higher yield the resulting barley straw will be tailored to i increase straw protein content to make it suitable as an alternative feed production source ii control celluloselignin contents and lignin properties to develop construction panels and straw reinforced polymer composites to do so we aim to exploit barley natural and inducedgenetic variability as well as gene editing and transgenic engineering based on precedent we expect that improving our targeted traits will result in increases in above ground total biomass production by 1520 without modification of the harvest index and there will be added benefits in sustainability via better resourceuse efficiency of water and nitrogen a public dialogue will be established to ensure stakeholder engagement and explore the acceptability of a range of technologies as potential routes to crop improvement and climate change mitigation
telecommunications and computer vision convergence tools for research infrastructures

telecommunications and computer vision have evolved as separate scientific areas this is envisioned to change with the advent of wireless communications with radios characterised by lineofsight ranges which could benefit from visual data to predict the wireless channel dynamics computer vision applications will also become more robust if helped by radiobased imaging this new joint research field relies on wireless communications computer vision sensing and machine learning and it has a high innovation potential because of the large domain of innovative applications it enables and the relevant knowhow available in europe however the full potential of this new area can only be evaluated if adequate research infrastructures ri and tools are availablethe main objective of the converge project is the development of an innovative toolset aligned with the motto viewtocommunicate and communicatetoview this toolset is a worldfirst and consists of visionaided large intelligent surfaces visionaided fixed and mobile base stations a visionradio simulator and 3d environment modeler and machine learning algorithms for multimodal data including radio signals video streams rf sensing and traffic traces this toolset will be deployed into 7 ris mostly aligned with the esfri slicesri and improve their competitiveness converge will also provide the scientific community with open datasets of experimental and simulated data obtained with the toolset in the ris meet scientific and industrial requirements by addressing relevant 6g verticals enhance the competitiveness of the involved companies extend the european influence to worldwide recognised ris enable the creation of new ris contribute to the development of new environmentfriendly tools and help european union to address its societal challenges