Dragon09/odtu_chatbot huggingface dataset:
crowdcontrol identifying the mechanism underlying intracellular density homeostasis

the cytoplasm is filled with an extremely high concentration of macromolecules that is close to the maximal physical limit such a tight packing of macromolecules gives rise to a crowding effect that influences chemical reactions and protein dynamics changes in crowding levels are therefore predicted to have profound consequences on cell function it is therefore not surprising that the overall intracellular concentration of macromolecules is very constant within a cell type but it varies during important physiological transitions such as cell division differentiation and senescence how crowding is regulated is poorly understood but feedback coupling between intracellular density and cell growth has been observed in multiple systems the crowdcontrol project will combine two unbiased screening approaches with targeted genetic manipulations and quantitative live cell imaging to identify the molecular mechanism underlying intracellular density homeostasis specifically we will i identify proteins that can sense intracellular density changes by performing structure sensitive mass spectrometry in cells with different levels of macromolecular crowding ii perform a crisprknockout screen to identify mutations that affect density homeostasis and iii use quantitative live cell microscopy to investigate whether proteins identified in i and ii affect feedback coupling between intracellular density and cell growth a better understanding of intracellular density regulation will allow the development of precise tools to alter crowding and identification of crowding sensitive proteins will give insight into what processes may respond to density changes the results of this project will therefore be key to understanding how cells finely tune their intracellular density levels but in addition they will also lay the basis for understanding how density changes affect cell function during the cell cycle senescence and differentiation
ecoevolutionary dynamics in plantsoil interactions during land use transition consequences for soil functioning and resilience to drought

european grasslands have been shaped by millennia of lowintensity management and are unique cultural and biodiversity hotspots providing critical ecosystem services however the area of traditionallymanaged grassland has declined dramatically during the last century with landuse intensification on productive soil and abandonment of unfertile land both causing species loss and deterioration of ecosystem services recent evidence suggests that landuse change also leads to genetic and phenotypic changes in plant populations how populationlevel processes mediate the impact of land use on ecosystem functions and affect adaptive potential to future perturbations is entirely unknown filling this knowledge gap is urgent as grasslands face additional pressure from climate change particularly an increasing frequency of droughts i hypothesise that land use intensification and abandonment lead to evolutionary shifts in plant function away from resource conservation towards fast resource acquisition and low stress tolerance combined with the disruption of coevolved mutualistic plantmicrobial interactions this has cascading effects on essential ecosystem services provided by soils and their resilience to droughtinduced perturbation the hypothesis will be tested using laboratory tests of the mechanisms underlying ecoevolutionary dynamics in plantsoil interactions during landuse change and communitylevel experiments to uncover the consequences of adaptation for soil functioning and resilience to drought i will use the worlds longestrunning fertilization experiment and grassland networks in three european regions representing different histories and contrasting management regimes the project will provide a stepchange in our understanding of the selective pressures imposed on plantsoil systems by human land use and will inform future policies for sustainable land management and maintenance of adaptive potential in the face of climate change
families and inequality in a flexible world of work

families often lead timeintensive lives having to balance the demands arising from the workplace and the family with the recent shift towards flexible working enabling employees to decide partly where and when to work the spatial and temporal segregation of employment and family has been substantially reconfigured greater flexibility is one of the most important labour market transformations of our timeflin creates new knowledge on how contemporary families combine employment and family in the context of flexible working taking a crossnational couplelevel perspective flin will study the implications of flexible working for 1 family time 2 gender equality in unpaid work 3 childbearing and partnership dissolution it will also 4 monitor inequality in flexible working and 5 address the role of contextual factors the project design is longitudinal with a focus on the new normal of flexible working after the covid19 pandemic flin will generate a novel empirical and theoretical understanding of the workfamily interface and its consequences enabling policy developmentbecause flexible working is mainly a privilege of higher status employees its recent rise has the potential to exacerbate the socioeconomic divide if flexible working has predominantly positive consequences eg more childcare time higherstatus families could disproportionally reap the benefits of this new development theoretical frameworks and past research are inconclusive as to whether flexible working leads to a better workfamily balance or more difficulties in managing the workfamily border considering that flexible working is an emerging social challenge for equality clarification is urgently neededthe project combines a detailed country analysis austria france germany italy norway and poland with a comparison across the eu it is based on highquality representative data time use surveys register data and the eu labour force surveys
deploying circular bioeconomies at regional level with a territorial approach

europes regional authorities have a crucial role to play as agents of just inclusive and resilient economic development for their territories robin sets out to empower them to fulfil this role with support to coshape their governance structures and models in ways that accelerate the deployment of their circular bioeconomy targets while also promoting social innovation and accounting for different territorial contexts to this end we establish and demonstrate the potential of innovative circular bioeconomy governance structures and models in 5 european regions within ireland germany spain slovakia and greece our journey begins by settingup multiactor regional constellations engaging key quadruple helix stakeholders to cocreate and work alongside novel governance structures wellembedded within existing organisational structures of our regions and mandated to coordinate and execute circular bioeconomy strategies with and for the entire actor ecosystem and to coordinate effectively with the ccricso along the way we provide them with tailored support for enhanced and more inclusive stakeholder engagement as well as a practical toolbox to improve the design operation and monitoring of their governance models in parallel a monitoring and evaluation framework will gauge the performance and impact of our support actions and tools providing quantifiable evidence of their economic social and environmental impact we will use this evidence to engage over 10 additional european regional authorities to test our tools and make a concrete case for their transferability while also offering mutual learning and capacity building opportunities in the process we coordinate our actions with the ccricso and complementary european initiatives to facilitate the dissemination of our results ensuring their longterm sustainability as viable solutions for supporting eu regions in adopting governance models that facilitate the transition to a circular bioeconomy
higher observational type theory

recent advancements have enabled proof asistants to formally verify worldclass mathematics the liquid tensor experiment the four colour theorem and the odd order theorem were formalised computer checked arguments are important for mathematicians who want to be certain their reasoning is sound and for computer scientists to prevent bugs in safety critical software examples are formally verified parts of googles chrome web browser and verified implementations of the c and ml programming languagesat the core of these formalisations lies type theory upon which proof assistants are built type theory is both a functional programming language and a foundation of mathematics recently models of type theory built on higher dimensional spaces emerged where elements of a type are points in the space and elements of an equality type are paths in the space based one these type theory was extended to homotopy type theory hott featuring the principle that isomorphic types are equal this moves formalisation close to actual mathematical practice where isomorphic structures are being treated as the samewhile hott is successful among academics it hasnt been widely adopted this is because type theories implementing hott rely on an explicit syntax for higher dimensional geometry which is conceptually difficult and hard to use in practice this creates a substantial barrier for formalisation which is treated as a lowlevel bureaucractic processour project will develop a radically new type theory where homotopical content is emergent rather than builtin the idea is to define the equality type via computation this makes hott explainable and conceptually simple it also improves pragmatic aspects with more computation proofs become less tedious our theory will contribute to a new era in formalisation of mathematics and verification of software where developing proofs in abstract reusable ways becomes standard accelerating progress in both areas
innovative modelling and assessment capabilities through maas for manufacturing ecosystem resiliency

dmaast aims to enhance the manufacturing ecosystems resiliency and capability of selfadaptation in response to external events it is achieved through a smart manufacturing platform comprising 4 layers the data layer establishes a foundation for mapping manufacturing ecosystem information using ontologies and decentralized knowledge graphs ensuring a trusted crossorganization realtime data integration next a layer with a twolevel cognitive digital twin is created with the lowlevel dt modelling two use cases manufacturing services production line and the highlevel dt modelling the main stages of usecases sectors value chains the resulting dts will use human expertiseknowledge datadriven algorithms and physical modelling to provide a reliable and robust dt of the manufacturing ecosystem the next layer employs the data and modelling layers information to present a multiobjective distributed decision support system algorithm combining multiobjective techniques and the latest trends in federated deep learning this makes dts actionable models and provides the necessary information to make optimal production decisions the fourth layer focuses on presenting the information in a userfriendly manner with timely scoreboards additionally a dedicated module will assess the productions circularity and sustainability and considering products traceability through the eudpp therefore the sustainability and remanufacturing opportunities of the production process will be improved the project ensures scalability providing information for replicating and trying new manufacturing processes thanks to the manufacturing services digital warehouse while assessing risks and opportunities for improvement dmaast innovations enable the manufacturing ecosystem to adopt the manufacturing as a service concept by smoothly evolving all the technologies from a trl3 to a consolidated trl6 in 2 use cases in key sectors aerospace and electronics
safetyfans safety and sustainability by design a framework for advanced nanomaterials synthesis

we synthesized a nanoform of novel functions but is it safe is it sustainablethe supervisors team in isteccnr host synthesizes in their laboratory facilities new nanoforms nf with enhanced functionality their lab is a globally reputable center that over the years have established infrastructure and knowledge in developing novel nanoformulations everchanging interactive nf have a fate hard to track and policy makers with precaution limited nf use however valuable functionalities led to european initiatives to adopt the safety and sustainability by design ssbd concept that ensures safety intervening at the design stage avoiding later use uncertainties but beyond concept roadmaps are yet to be drawn and practices to be triedthe questions above are now addressed to the researcher who during her phd predicted the toxicity of nf based on their physicochemical characteristics using machine learning ml the team will realize a central aspect of the ssbd concept the design development and validation of a framework that predicts safety sustainability and functionality at the synthesis stage of nf based on previous knowledge using ml this framework allows insilico testing impact on ssbd of changes in nf features without conducting the actual resourceconsuming experiments the endeavor is rooted on information digitization built on exploiting the hosts industry and academia network and using its laboratory infrastructure to deploy real cases the project unlocks nf applicability potential proposes a pragmatic methodology on ssbd implementation and increases public confidence towards nanotechnology and ml multidisciplinarity and the hosts extroversion will distinguish the researcher in the growing market of scientific integrators as employees and consultants the acquired experience is also valuable to policy institutions aligning with the eu green deal position on ssbd and the merging of disciplines in a dataconnected world
novel lioperated potentiometric electrochemical gas sensors

this action aims to deliver innovative lithium lioperated gas sensor devices the lowpower ie lowtemperature lowcost fastresponse miniaturized gas sensor will monitor gas pollutants based on fast ionconducting libased chemistries originally developed for nextgeneration energy storage systems it remains surprising that despite their high conductivity and stability ligarnet li7la3zr2o12 llzo solid electrolytes were mostly first integrated as largescale ceramics in solidstate batteries with their integration in sensors to replace classic oxygen conductors lagging behind the fast ionconduction characteristics of libased materials unlock the possibilities of costeffective lowpower multisensing arrays with a fast response new sensingelectrode chemistries and an expanded scope of gases the applicant will develop and implement a cheap and scalable ceramic processing concept of a fully libased sprayed sensing device operating at low temperature to assure a transition of research to society this project will contribute to the major driving force behind eus mission finding a lowcarbon energy solution to minimize pollution effect on global health and the environment by providing tools for toxic gas sensing which will a consume less energy and b enable distributed sensing where sensing and power supply start to synergize new opportunities for multifunctional devices based on similar chemistry eg ligarnet to store energy or detect gasses are emerging simply by the choice of electrodes and electrochemistry the synthesis chemical requirements processing and electrochemical characteristics upon gas sensing vital for future sensornose technology and hardware in mobile commercial applications remain unclear and are south to be pioneered through this action
identifying fingerprints of fragility in complex ecosystems

ecosystems are deteriorating at unprecedented rate climate change is threatening their functioning and the vital services they provide to human societies imposing an urgent need to understand how they are coping with and reacting to global change the complexity of ecosystems however makes predicting their fragility a difficult endeavor fragileprints identifying fingerprints of fragility in complex ecosystems focuses on a critical scenario in ecosystem degradation large and abrupt transitions following gradual environmental changes observed across ecosystems worldwide despite important progresses key knowledge gaps remain in our understanding of the mechanisms underpinning these transitions making them notoriously difficult to predict current research relates them to the presence of multiple stable states mss with small perturbations able to induce large shifts from healthy speciesrich communities towards deteriorated ecosystem states understanding of mss however is based on simple models that largely ignore the role of species diversity and interaction complexity highlighting an extremely relevant gap in our capacity to uncover potential abrupt transitions in speciesrich ecosystems to address this gap fragileprints will investigate the emergence of mss in complex ecosystems by combining a novel bottomup and topdown interdisciplinary approach increasing complexity in fewspecies mss models and adding structure to random highdimensional complex networks the combination of the two each applying mathematical models and numerical simulations confronted with experiments and wholeecosystem data will allow the identification of fingerprints of ecosystem fragility conditions common across ecosystems related to the presence of mss and potential abrupt transitions these results will be applied to generate a predictive tool with utility in prioritizing areas for conservation mapping ecosystem fragility or restoring degraded ecosystems
multitumour based prediction and manipulation of immune response

only few patients respond to tumor treatment as desired treatment heavily relies on host tumor interactions including exploiting the host immune response against the tumor the underlying mechanisms of host tumor interaction are largely unknown guidance on specific intervention is missing to improve outcome better understanding of tumorhost interaction is needed large numbers of molecular snapshots will provide increased phenotyping coverage and better represent tumorhost evolution over time in an innovative approach multir aims at investigating not a single tumor entity but at compiling data from melanoma lung and bladder cancer most drugs target specific molecular features irrespective of the tumor origin to identify with high power the critical elements in the tumorhost interaction responsible for therapy response in a multidisciplinary approach involving leading clinicians immunologists experts in omics digital technologies social sciences and patient representatives from 10 eu countries and beyond and an extensive outreach plan to ensure rapid transfer of multir output to society multir combines existing multilayer epidemiological genetic clinical pathologic imaging molecular data from major studies on these tumors using aibased approaches to unveil functional modules regulating tumorhost interactions followed by validation of findings in models and synthetic patients harmonization with major eu initiatives will maximize use of european resources impact on all scientific technological and societal levels is expected including increased understanding of tumorhost interactions generation of a unique resource of harmonized data on three major cancer types available to the community in compliance to the legal and ethics framework boost of drug discovery and an aibased predictor for treatment response multir outreach plan includes policymakers and regulators to support prompt assessment and uptake into the health systemsthis action is part of the cancer mission cluster of projects on understanding tumourhost interactions
sustainable trade regimes with europe and africa through mapping innovation newtechnology and growthmindset

with a burgeoning population across africa characterized by a significant youth demographic the challenge of youth unemployment persists exacerbated by limited opportunities in the formal sector the informal economy absorbs the majority of new entrants offering precarious and lowquality jobs in response the streaming project aims to develop strategies for fair healthy and environmentally sustainable food systems across the continent by fostering connections between basic research and practical implementation streaming seeks to promote innovation and entrepreneurship among various target groups including women researchers students and farmers through networking platforms innovation hubs startup scouting and training programs the project aims to bridge academiaindustry gaps and promote the adoption of sustainable practices and technologies in african food trade systems additionally with a focus on policy analysis and recommendation streaming aims to inform trade policies in africa and europe with an emphasis on removing nontariff barriers to trade and enhancing resilience against external challenges such as climate change by integrating stakeholder perspectives empirical research and innovative solutions streaming strives to contribute to the establishment of fair healthy and environmentally friendly food systems continentwide
nonequilibrium thermodynamics of the origin of life

it has long been suggested that the laws of thermodynamics may specify thresholds for the origin of life in terms of minimal free energy fluxes needed to perform basic lifelike functions such as selfmaintenance and selfreplication such thresholds have yet to be derived however in large part because conventional thermodynamics is restricted to systems that are in equilibrium macroscopic in scale and that do not exchange information with their environments on the other hand protobiological systems minimal systems that lay at the beginning of life were likely farfromequilibrium nanoscale and exchanged information eg via simple mechanisms of adaptive response such as chemotaxisrecent times however have witnessed a revolution in nonequilibrium thermodynamics which has produced farreaching results concerning systems that are farfromequilibrium nanoscale and may exchange information these results are currently finding various applications in the study of biophysics of modern organisms while the tools of nonequilibrium thermodynamics are wellsuited for analyzing protobiological systems they have yet to be applied in origin of life research instead most existing models of protobiological systems are highly abstracted and ignore underlying thermodynamics in addition existing research in the field has paid very little attention to the role of information exchanges in early lifethis project will address these gaps by using techniques from modern nonequilibrium thermodynamics to study the origin of life specifically it will investigate thermodynamic tradeoffs involved in three essential protobiological functions selfmaintenance selfreplication and darwinian evolution including in systems that exchange information with their environment this project will shed light on fundamental thermodynamic thresholds which will have important implications for our theoretical understanding of the origin of life