Dragon09/odtu_chatbot huggingface dataset:
innovative treatment for extrapulmonary benefits in copd effects and mechanisms of supramaximal highintensity training

given the substantial negative impact of extrapulmonary manifestations on vital clinical outcomes including mortality the need for new effective treatment modalities also beyond the lungs has been highlighted as an urgent challenge in the management of chronic obstructive pulmonary disease copd one of the most common and deadliest diseases of the 21st century the aim of copdhit is to pave the way for new understanding of the development and treatment of extrapulmonary manifestations in copd with a focus on brain health muscle quality and cardiac function to do this i will focus on the following research objectives ro ro1 determine the effect of supramaximal highintensity training hit on the brain muscle and heart ro2 determine how exercise training and inflammation impacts the trajectories of neurodegeneration ro3 develop a novel invitro model to determine signaling pathways following various loading intensitiesto reach these objectives i aim to conduct highquality multicenter randomized controlled and experimental trials further i will lead an international research alliance with access to stateoftheart research infrastructures and enable a unique interdisciplinary approach to fulfill my goals this includes using advanced measurement techniques for muscle brain and cardiorespiratory evaluations muscle biopsy analyses invivo invitro strategies and combining quantitative and qualitative methods taken together with copdhit i am in a strong position to perform an international novel project that will determine how to enable extrapulmonary benefits in copd in a hitherto unprecedented way
hybrid human artificial collective intelligence in openended decision making

hacid develops a novel hybrid collective intelligence for decision support to professionals facing complex openended problems promoting engagement fairness and trust a decision support system haciddss is proposed that is based on structured domain knowledge semiautomatically assembled in a domain knowledge graph dkg from available data sources such as scientific and gray literature given a specific case within the addressed domain a pool of experts is consulted to i extract supporting evidence and enrich it generating a case knowledge graph ckg as a subset of the dkg and ii provide one or more solutions to the problem exploiting the ckg the haciddss gathers the expert advice in a collective solution that aggregates the individual opinions and expands them with machinegenerated suggestions in this way hacid harnesses the wisdom of the crowd in openended problems relying on a traceable process based on supporting evidence for better explainability a set of evaluation methods is proposed to deal with domains where ground truth is not available demonstrating the suitability of the proposed approach in a wide range of application domains demonstrations are provided in two compelling case studies contributing to the un sustainable development goals crowdsourcing medical diagnostics and climate services for urban adaptation
learning isoform fingerprints to discover the molecular diversity of life

did you know that 80 of all proteomic data is not utilized proteins play a vital role in all biological processes and organisms we believe that different versions of a single gene product protein isoforms shape the molecular diversity of life however comprehensive evidence on proteinlevel is not available chromatographycoupled tandem mass spectrometry lcmsms is the defacto standard for measuring proteomes but it is not good at identifying isoforms because at least 80 of the recorded information is never used i argue that isoforms leave a deterministic multidimensional fingerprint origins representing their physicochemical properties in each proteomic measurement therefore the central aim of this project is to discover and quantify protein isoforms systematically by a novel msbased proteomics data analysis strategy by tapping into the wealth of data the proteomics community has already amassed i will train deep neural networks that allow the prediction of origins second i will implement an innovative data analysis strategy that utilizes origins to identify and quantify isoforms third i will demonstrate that origins can be used to substantially broaden our understanding of the molecular diversity of life by showcasing its application on four emerging and challenging questions in proteome research of varying biological and technical complexity this will allow me to address a fundamental open question in biology to which extent and prevalence isoforms are actually translated and what functional roles they might be associated with origins will improve the sensitivity biological resolution and accuracy at which proteins and their isoforms can be identified and quantified beyond this the concept of origins can be applied to and improve any proteomics experiments and thus holds the potential to revolutionize msbased proteomics as a technology and elevate the whole field of proteinbased research
strategic alliance for building european fusion energy partnership

the go4fusion project will lay the groundwork for a strong collaborative european fusion energy community preparing for the future establishment of a publicprivate partnership ppp this ppp will facilitate funding for industrial and rd activities key objectives include consolidating the european fusion stakeholder network efsn creating an industryled association representing european fusion industries and research organizations and developing a strategic research and innovation agenda sria to shape short medium and longterm rd in fusion additionally go4fusion will explore the creation of a trade association to support the growth of the european fusion industry through advocacy networking and education the project will also address intellectual property management and technology transfer ensuring european innovations in the fusion sector are protected and effectively exploited the future ppp must ensure the successful takeoff of fusion technology and support the accelerated advancement of research and innovation in this sector this project will help enhance the visibility of fusion technology in europe targeting policymakers citizens industry and researchers the consortium will include major actors from the current fusion community led by enea the italian agency for new technologies energy and sustainable economic development innovation major research institutes from france germany italy and spain will complement the consortium alongside key industrial players this consortium is wellsuited to building the fusion community in europe and possesses the necessary knowledge and network to engage the entire fusion value chain driving the establishment of the future partnership and fostering europes strategic autonomy and competitiveness for the future commercial deployment of fusion energy
advanced systems and solutions for better practices against hazards in the aviation system

albatros overarching ambition is to maintain a high level of safety in aviation in view of extreme weather conditions expected changes brought about by the evolution of aviation systems especially new fuel and energy systems including hydrogen which will be integrated in the coming years to both future aircraft and airport infrastructures albatros activities target the increased resilience against safety issues both on the ground and in flight to ensure the survival of passengers and crew as well as their evacuation and rescue in case of emergencies albatros objectives are to develop a concept for realtime sharing of safety intelligence to support decision making on safety issues emergencies and crises develop safety risk models and analyse safety data for prediction and prevention of emerging and future hazards in aviation linked to data4safety develop survivability measures to mitigate safety issues and risks assess and improve human performance and develop best practices for decision making in the handling of crises and emergency situations validate and demonstrate concepts technologies and decision support tools exercises at airports simulations and laboratory tests conducted in close collaboration with eaccc gadss and acieurope disseminate communicate and exploit project key results and outcomes including through emergency response training exercisesalbatros will work on maturing technologies and solutions up to trl6 which will be compatible with eaccc and gadss requirements initially scenarios requirements concepts of use and relevant technologies will be agreed upon before development activities are performed on safety modelling and data analysis survivability as well as decision support tools and best practices the results of these developments will then be integrated and validated through 15 demonstrations in relevant environments across europe airports flight simulators or crisis centres
environmental exploitation of political economics

we need a theory to explain why society has so far failed to address climate change and other environmental problems after all it has been able to deal with other challenges ranging from wars to trade barriers and most recently covid19 in this project we seek to shed light on two important questionsi what political economics forces explain the failure to deal with environmental problems ii how can environmental agreements and contracts exploit domestic political forcesthe first positive part seeks to develop dynamic political economics models that can be combined with models of climate change and other environmental problems the goal is to learn more about what political economics forces or constraints are best able to explain the observed inefficiencies in environmental policies this knowledge is necessary before we can analyse which policies are best subject to the relevant constraintsthe second normative part is more groundbreaking because it investigates how international environmental policies can exploit the political forces that are important at the domestic levelintuitively when desirable policies are hindered by political forces such as present bias and time inconsistency an incumbent may value a treaty that offers precommitments or credibility this value implies that the incumbent can be persuaded to contribute more to emission cuts for example if the agreement is designed so that it helps the incumbent overcome domestic political constraints by drawing on contract theory and organizational economics we will investigate how international policies can exploit timeinconsistent incumbents demands for commitment how statusquo biases offer credibility and how inattention permits persuasionthe project will contribute methodologically to political economics and contract theory the lessons for policymakers may be invaluable
communityled creation of living spaces in shifting landscapes for climateresilient land use management and supporting the new european bauhaus

landshift is a groundbreaking initiative aimed at addressing the urgent challenges of climate change biodiversity loss and unsustainable land management practices with a focus on the eus landuse sector landshift seeks to develop innovative solutions that not only mitigate biogenic emissions but also enhance ecosystem resilience and promote sustainable resource management landshift aims to support the eus ambitious climate goals by maximizing net removals from lulucf while minimizing biogenic emissions from agriculture by strategically utilizing living earths integrating fao lccs with optimized eo data and data cubes as centralized data hubs the project aims to implement tailored strategies for local and regional contexts fostering stakeholder engagement and collaboration central to landshifts approach is the integration of nbs aligned with the principles of the new european bauhaus these solutions leverage natural processes and ecosystems to enhance carbon sequestration improve biodiversity and strengthen ecosystem services by harnessing the power of nbs landshift aims to create synergies between climate mitigation biodiversity conservation and sustainable land management furthermore landshift recognizes the importance of datadriven decisionmaking and monitoring to track progress and inform policy development the project will establish robust mrv systems to ensure the effectiveness of implemented strategies and measure their impact on biogenic emissions biodiversity and ecosystem health in addition to technical solutions landshift places a strong emphasis on policy influence and capacity building through targeted outreach and engagement activities the project aims to raise awareness build capacity and foster collaboration among stakeholders at all levels by empowering policymakers land managers and local communities landshift seeks to create an enabling environment for sustainable land use sector and management practices
just times temporalities and uncertainties for marginalised groups in cities

this project will advance knowledge on how cities contribute to the production of time of marginalized groups cities are key nodes in the production of social inequalities of time as places where national and global processes locate and where many precarious groups reside and their uncertainties are strongly reflected this project analyses time of filipino domestic workers in hong kong and critically examines the role of the city in the production of time for this marginalized group the study will reveal the spatiotemporal causes of urban marginalized migrants and its broader implications for research on time in urban sociology the objectives are o1 to analyse the temporalities at play in the lives of the migrant domestic workers in hong kong o2 to analyse the lived experiences of time in the migration trajectories of filipino domestic workers in hong kong and retired migrant domestic workers in metro manila and o3 to draw implications and develop a conceptual framework for the study of time of marginalized groups in urban sociology and publish this in highimpact journals these objectives will be achieved using qualitative research among policymakers ngos and other agencies as well as filipino domestic workers in hong kong and retired domestic workers in metro manilathe project establishes a valuable exchange of knowledge and skills between the researcher and the institute for housing and urban research ibf at uppsala university the supervisor prof miguel a martnez is a leading scholar in urban sociology and has worked on topics including migrant workers citizenship and the production of urban space while the researcher brings considerable complementary knowledge of the social theory of time in cities and everyday life ibf provides an excellent multidisciplinary research environment where the researcher will be able to gain skills and experience relevant to her career goal to obtain a position at a firstrate university in the eu
behavioural replication of human drivers for ccam

europe must seize the opportunities presented by connected cooperative and automated mobility ccam for its deployment powerful tools enabling the design and analysis of ccam components digitally and with a common language between tiers an oems are neededthe lack of a validated and scientifically based driver behavioural model dbm to cover the aspects of human driving performance is one of the main shortcomings of ccam development it allows to understand and test the interaction of ccam with other cars in a safer and predictable way from a human perspective dbm is the cornerstone for the development of ccam components it will guarantee its digital validation and if incorporated in the ecus software will generate a more humanlike response of autonomous vehicles at any level and increase its acceptance the main objective of bertha is to develop a scalable and probabilistic dbm based mostly on bayesian belief network bbn the dbm will be implemented on an opensource hub repository to validate technological and practical feasibility of the solution with industry and become a unique approach for the model worldwide scalability the resulting dbm will be translated into a simulating platform carla using diverse demos which allows building new driving models in the platformbertha will also include a methodology which due to the hub will share the model to the scientific community to ease its growththe project includes a set of interrelated demonstrators to show this dbm approach as a reference to design humanlike easily predictable and acceptable behaviour of automated driving functions in mixed traffic scenariosbertha is expected to go from a trl 2 a trl 4 the requested eu contribution is 7981801 the consortium 14 entities from 6 countries including south korea deem this project as vitally relevant to the ccam industry due to its impact for safer and more humanlike cavs and its market and societal adoption
formation clustering and atmospheric impact of clusterable organic compounds

atmospheric aerosol particles have a critical impact on earths radiative balance and human health oxygenated organic molecules play an important role in the formation and growth of aerosol particles to contribute to initial steps of particle formation a compound must either condense from the gas to the particle phase or undergo clusterphase protontransfer or other chemical reaction i define a clusterable organic compound coc to be an oxygenated organic molecule which can participate stable cluster formation under atmospheric conditions due to the limited knowledge of the formation structures and properties of cocs the exact mechanisms for the formation of aerosol particles remain puzzling my vision to bridge this longlasting knowledge gap is to implement a unique computational approach to tackle bottlenecks in studies of complex reaction mechanisms to combine a versatile suite of quantum chemical methods to accurately investigate cluster formation and properties and to combine the best qualities of mass spectrometry and matrix isolated vibrational spectroscopy to solve structures directly from the reaction chamber the scientific objectives are to 1 solve the role of dimerizationinitiated autoxidation mechanism in coc formation 2 develop an instrumentation capable to reveal molecular structures and properties of cocs 3 determine the formation mechanisms and rates of coc containing particles and 4 estimate the atmospheric impact of newly formed coc containing particles this project will establish the molecularlevel foundation for future atmospheric research by solving how cocs form what is their contribution to particle formation and properties and what is their impact for our climate this research results highly accurate reaction kinetics and cluster thermodynamics parameters for atmospheric models which are crucial to constrain the large uncertainty in climate predictions caused by small aerosol particles
poor prognosis colorectal cancers display selfsustained growth by nichemimicry

colorectal cancer crc is a heterogeneous disease with widely variable clinical outcomes i previously contributed to a unifying molecular classification of crc the consensus molecular subtypes cmss the mesenchymal subtype cms4 representing 25 of all crc patients is characterised by early metastatic dissemination and poor response to therapy this is often attributed to activated and rich stroma and therefore much attention in the field goes to dissecting the interaction of the mesenchyme with the cancer cells in these tumours however in this research program i will investigate a radically different hypothesis mesenchymal crcs display selfsustained growth by nichemimicry nimicry i define nimicry as the adoption of niche features by cancer cells thereby rendering the cancers independent of microenvironmental signals for their expansion this hypothesis is directly based on preliminary experiments from my laboratory which demonstrated that mesenchymal crcs are not dependent on external growth factors for expansion in vitro and display autocrine and paracrine loops that drive selfsustained growth the abundant stroma in mesenchymal crcs is secondary to the growth factors and cytokines produced by the tumour cellsto study this concept i will employ primary human crc models in combination with molecular and functional characterisation to delineate the selfsupporting signalling loops in a patient specific fashion these studies are paralleled by the investigation of clonal dynamics within established human crcs by means of a novel genetic lineage tracing strategy in combination with quantitative analysis dedicated analyses will resolve the impact of nimicry on metastasis formation therapy resistance and tumour evolutionthese studies into nimicry as a critical concept in tumour biology will importantly advance our understanding of the signals that drive crc growth and progression and will pave the way to new treatment strategies
habitat tracking for the conservation of huntable bird species

fortytwo huntable bird species are declining in numbers and we crucially miss information on their habitat needs in order to organize habitat management and restoration to secure restoration their status in habitrack we propose to deploy multiplesensor tracking tags on migratory species to tackle fine scale habitat needs of mature individuals for a variety of unsecured huntable migratory bird species in order to provide appropriate recommendations for ongoing habitat management policies and adaptive management initiatives the project will consider breeding habitats first studying links between population trends and habitat use across the european range and the projected impacts of ongoing climate change on demography then modelling the response curves of individual use of landscape elements within a home range to identify potential optimal values we will also consider integrated migratory connectivity to further link habitat needs on nonbreeding grounds wintering grounds and stopover site networks to population trends tackling potential carryover effects on breeding performance we will finally investigate the ways remote tracking data can bring new information on breeding status and performance and on cryptic mortality to allow the future remote monitoring of demographic parameters proofs of concept will be developed early in the project from species with already available large tracking data sets a first obvious candidate is the eurasian curlew developments in the project will make use of already available data then focus on filling knowledge gaps in relation to the amount and quality of habitat the efficiency of the pathways to impact will be achieved by the mobilization of various organizations and stakeholders in a steering committee ensuring the dissemination and appropriation of the scientific outcomes and management recommendations