Dragon09/odtu_chatbot huggingface dataset:
climate tipping points uncertaintyaware quantification of earth system tipping potential from observations and models and assessment of associated climatic ecological and socioeconomic impacts

the likelihood of largescale earth system tipping events under ongoing anthropogenic forcing remains uncertain in view of the possible irreversibility associated with such events and the potentially catastrophic global consequences on climate ecosystems and society the precautionary principle demands thorough investigation of the underlying mechanisms compound or cascading impacts and associated risks climtip will substantially advance the process understanding of possible earth system tipping elements tes it will provide the methodological framework for characterising and constraining potential tes from paleoclimate observational and model data for identifying unknown tipping potential from observations and models and for quantifying resilience and changes thereof in climate and ecosystems including earlywarning of forthcoming transitions earth system models esms are the primary tool for projecting the risk of largescale tipping events and climtip will substantially improve their representation of suggested tes this will enable the identification of safe operating spaces for a stable earth system by characterising key earth system tes in terms of their critical thresholds and rates hysteresis and overshoot potential via empirical data and esms taking into account the associated uncertainties as a unique climate service climtip will provide global highresolution biascorrected climate fields for largescale tipping events based on storylines of tipping in comprehensive esms the associated impacts on climate ecosystems biodiversity agriculture society and economy will be assessed globally and put in relation with the paris agreement and the eu biodiversity strategy 2030 climtip will deliver a comprehensive and precise knowledge basis for tippingaware risk assessment and adaptation and mitigation strategies results will be disseminated to the scientific community general public and targeted audiences including ipbes and ipcc
mapping metabolic responses to understand coexistence and community functioning

the metabolism of organisms affects the productivity of populations and communities however the relationship between organismal metabolism and species interactions has been scarcely explored hence predicting the rates at which entire communities flux energy and resources remains difficult my work shows that the metabolism of organisms measured in isolation does not reflect their performance in communities because species interactions alter how organisms uptake and expend resources understanding how such interactions affect metabolism is essential to estimate productivity and how it will change with biodiversity loss and global warming i propose to use marine phytoplankton as a model laboratory system to determine how metabolic responses to competitors affect coexistence and community functioning my goal is to connect metabolic theory that studies physical constraints on the metabolism of organisms in isolation with community ecology that centres on species interactions and emergent community properties based on my preliminary data i will map metabolic responses between species that compete for similar resources and test whether these responses stabilise coexistence i will leverage developments in transcriptomics of nonmodel organisms to identify the metabolic pathways that underpin metabolic responses from this basis i will extend my analysis on larger temporal and biological scales i will determine how warming modifies metabolic responses and community productivity and finally how metabolism evolves in communities altogether this project will demonstrate how metabolic adjustments influence the diversity and functioning of communities i will use a system that is ecologically important because phytoplankton support 50 of global oxygen production these results will have broad implications for our understanding of biological systems because the metabolic impact of species interactions shapes the physiology and evolution of all organisms
breaking frontiers of internal model principle and adaptive control through hybrid techniques for nextgeneration mechatronics

this project will develop innovative control strategies for the mechatronic technologies of the next decade bolstering the design of sustainable industrial energy and transportation systems motivated by the vast development gap between several emerging technologies such as smart materials and additively manufactured systems and the algorithms for their safe and highperformance operation we aim to design control techniques to handle unconventional dynamics with impacts discrete events and hysteresis phenomena including large disturbances and modeling uncertainties specifically we propose to embrace the formalism of hybrid dynamical systems to achieve a quantum leap of internal model and adaptive control leading to an impact for nextgeneration mechatronics this aim represents an ideal evolution for the activities of the candidate fellow dr alessandro bosso in a perspective of knowledge consolidation and career development in the academic world to this end under the supervision of prof andrea tilli and the cosupervision of prof lorenzo marconi at the university of bologna the project foresees an intense training and research program where the fellow will be mentored by leading experts in hybrid and mechatronic systems during the outgoing phase dr bosso will be hosted for 16 months at the ccdc of uc santa barbara a worldleading center in control research and related multi disciplinary topics that formed many successful scientists in the field there the fellow will be supervised by prof andrew r teel a prominent researcher among the founders of hybrid systems theory then a secondment period of 8 months is planned at the laboratories laas and laplace of the cnrs in toulouse france where prof luca zaccarian will guide the fellow in theoretical and applied research finally the return phase will be dedicated to developing breakthrough laboratory prototypes and disseminating the results to the scientific and industrial communities
nextgen technologies for enhanced metro operations

in the evolution of urban transport nexus seeks to establish an innovation benchmark addressing crucial challenges and guiding european metros toward transformative futures the collaborative effort unfolds through three interconnected workstreams each contributing to overall progress ws1s core is the mission to redefine metro adaptability to demand fluctuations meticulous analysis and feasibility studies elevate adaptability showcased through simulation tools the focus remains on usercentered optimization aligned with evolving passenger needs ws2 focuses on train control systems of tomorrow a comprehensive feasibility study paves the way for fully automated systems sustainability safety and seamless integration characterize the exploration addressing challenges in infrastructure and system complexities ws3 delves into the innovative realms of ai and data science in metro transport in collaboration with ws1 and ws2 this workstream explores promising ai applications rigorous evaluation ensures these digital innovations resonate practically in metro system implementationstogether these workstreams harmonize in a holistic approach envisioning a future where technology enhances operations responsibly and sustainably nexus accentuates societal needs weaving a narrative where metros become living adaptable entities stakeholder involvement including metro operators and passenger representatives deepens the projects impact their participation resonates the results of nexus not only locally but also on the international level through optimization analysis energy and service efficiency nexus aspires to pioneer innovative solutions for the urban and metro transport of the future where the journey is as significant as the destination
leveraging precision in numerical optimization for robotic motions

automated vehicles and complex robot workers are expected to be used massively soon with positive impacts on security health at work and productivity to handle realworld situations they need to compute their command as fast as possible but the advanced safe control algorithms remain a computational bottleneck to find the solution to a set of motion specifications and constraints for a robot a widely used approach is to formulate and solve an optimization problem the formulation is necessarily imprecise due to modeling sensing and estimation errors and the solution will not be executed perfectly by the robot yet the optimization solvers used in robotics are designed to converge to an exact solution with high precision wasting timein this project i make a change of paradigm by leveraging approximations and investigate how the absence of need for high precision can be used to develop faster solvers i study what approximations or errors are acceptable for the problem formulation and the solution paying attention to the numeric properties of the problem i use this knowledge to develop a solver tailored for approximate computations with an emphasize on cheap but imprecise inner iterations and early termination it will also handle gracefully infeasible situations due to errors making it safer to operate in real conditionsto make the study and test and benchmark the solver i focus on two families of control problems model predictive control and instantaneous linearized control applied to a wide variety of systems from buses to rockets to humanoid robotsthis solver will have important impacts make it possible to achieve realtime control for the most complex system allow to keep realtime when it was already possible while enriching the problems reduce the computing power and energy consumption required for a given robot understanding and handling imprecisions would also allow to build less precise and thus cheaper robots
focusing on deep sleepwake brain regions in the context of alzheimers disease pathogenesis a multimodal highresolution neuroimaging approach

the increased prevalence of alzheimers disease ad in our ageing society constitutes an urgent farreaching public health concern in the worldwide effort to identify leverage points to prevent or delay the onset of ad sleep has recently emerged as a potent modifiable factor to slow down the hallmark pathophysiological processes of the disease namely amyloidbeta and tau protein accumulation together with neurodegeneration crucially the brain regions that regulate sleep and wakefulness are the first to be affected by ad pathology in the preclinical stages of the disease but their role in the link between sleepwake disruption and ad pathogenesis has so far been critically overlooked due to the inherent difficulty to image them in vivo in humans in this project i will take an innovative approach by using stateoftheart multimodal neuroimaging methods to investigate the contribution of these brain regions to sleepwake quality in the earliest stages of the disease and ultimately to adrelated trajectories the underlying hypothesis is that worse structural and functional integrity of key sleepwake nuclei will be associated with poorer sleepwake phenotypes in the context of ad pathology and will in turn hasten clinical symptomatology the unmatched scientific expertise and resources provided by the team of prof johnson at massachusetts general hospital will constitute an outstanding multidisciplinary environment to further develop my knowledge in advanced neuroimaging techniques and statistical modeling approaches and to bolster my multifaceted international research network the wide range of scientific and management skills acquired throughout this fellowship combined with the international exposure and the resulting close collaborations between european and american research groups will be key for my future career in europe as an independent researcher contributing to the global endeavour to improve the earliest detection and prevention of ad
innovative approaches for marine and freshwater based ingredients to develop sustainable foods and value chains

the overall vision of impress is to develop series of innovative actions to address key sustainability challenges associated with marine and freshwater sector from sea to shelf these challenges include i valorisation of processing waste streams ii utilisation and promotion of underutilised low trophic species lts impress will tackle these broad challenges by meeting the following six specific objectives that collectively deliver cobenefits for environment health society and the blue economy impress will promote and influence consumer perceptions towards lts by highlighting their positive nutrition health environmental footprints and enhance professional skills and competences impress will develop innovative approaches to valorise side streams and processing waste for creation of ecofriendly zero waste value chains develop and deliver diverse range of products to address nutrition health wellness and consumer choices enabling and evaluating innovative processing approaches including beyond stateoftheart technologies across the value chain creating novel value for food feed ingredients biopolymers and bioactives production finally codesign novel circular value propositions to accelerate the operationalisation of transition pathways ahead of future challenges eg farm to fork 2030 goals empower stakeholders to transition from current practices to a more innovative production and processing of lts using dynamic toolsdemonstrations and multiactor knowledge exchange the key innovative actions of impress includes i promotion and introduction of new lts from fresh and marine waters ii develop robust valorisation routes for side streams and waste iii employ energyefficient processing and fractionation techniques iv deliver new products value chains and services finally impress will demonstrate circular and sustainably interlinked value chains to maximize the value creation with a zerowaste approach
a european cyber resilience framework with artificial intelligence assisted orchestration automation for business continuity incident response information exchange

phoenix aims to design develop and deliver a cyber resilience framework providing artificial intelligence ai assisted orchestration automation response capabilities for business continuity and recovery incident response and information exchange tailored to the needs of operators of essential services oes and of the eu member state ms national authorities entrusted with cybersecurity through the deployment phoenix cyber resilience centres phoenix crcs oes will gain i enhanced situational awareness with aiassisted prediction prevention detection response capabilities and business risk impact assessmentbased prioritisation ii proactive and reactive resilience automation orchestration and response roar mechanisms providing business continuity recover and cyber physical incident response iii increased preparedness through relevant serious games and realistic resilience cyber range rcr assessment training iv timely and actionable information exchange between oes national authorities and eu actors leveraging interoperable and standardised alerting and reporting mechanisms and processes
eliminating voc from battery manufacturing through dry or wet processing

the project novoc addresses the topic environmentally sustainable processing techniques applied to large scale electrode and cell component manufacturing for li ion batteries the activities of novoc are tailored to the challenges addressed by the call topic1lower carbon footprint cell manufacturing in europe2new sustainable electrode and cell manufacturing techniques with low energy consumption and no volatile organic compounds vocs emissions3electrode coating production techniques eliminate organic solvents reduce the capital costs associated to the solvent recovery system4dry manufacturing techniques with next generation materials5industrializing closed loops and process design to return lowvalue chemicals from manufacturing processes to highvalue productsin novoc we aim to design and demonstrate two competitive cell manufacturing technologies aqueous and dry cell manufacturing technologies for automotive batteries intended for production in europethe innovations proposed in novoc centre on improvements of cell manufacturing process by integrating two novel electrode manufacturing processes into the currently available cell assembly process and demonstrate manufacturability of automotive cells in two formats pouch and cylindrical with no toxic organic solvent at the fraction of the cell manufacturing cost that is currently available todaynext generation cell manufacturing processes developed in europe for electric vehicles batteries
dispatchable concentrated solartox energy solution for high penetration of renewable energy

current energetic infrastructures are inefficient and hardly capable of integrating a large share of intermittent renewable energy sources carbonneutral and high efficiency energy production adapted to local demands would be a breakthrough solarx integrates 3 high concentration solar technologies and ai based smart resource management to produce either directly with high efficiencies or through storage stages for maximizing revenues mainly electricity heat for storage andor ship and green h2 or syngas in a carbon neutral way three key technological elements will be developed a smart solar resource management algorithm which aims to meet local instantaneous energy demands a high efficiency cpv receiver and a carbon negative bienergy h2 receiversolarxs main goal is to demonstrate the technical economic and social relevance at the laboratory scale of the synergetic efficient production of heat electricity and h2 from solar resource in a single facility considering energy demands and market prices for a wide range of locations and application scenarios solarx global assessment will demonstrate its role as a gamechanging res within the framework of future implementation in a carbonnegative energy system solarx will also provide powertox for larger integration of intermittent energy sources into the electric grid the high efficiency concentration technologies allow to reduce the environmental impacts with respect to current technologies as lca study will demonstrate also social acceptance and socioeconomic impacts will be assessed on the base of among others previous high concentration experiences the regulatory frameworks will be considered within the roadmap towards the technology commercialization and policy recommendations will be publishedthe share of solarx in the ship electricity and renewable h2 global market by 2050 is expected to be 25 25 and 13 respectively while reducing by 15 gtco2year the emissions
tracking nanomaterial performance towards digital twins of quantum dots under loading

quantum dots qds exemplify the successful transfer of innovative nanomaterials from a labscale invention to a technology that offers better and more powerefficient electronic devices or makes buildings generate renewable energy such implementations however keep qds under permanent loading such as constant illumination elevated temperature or exposure to environmental agents efforts to make qds resilient against loadinginduced ageing and loss of performance are timeconsuming and costly track the twin addresses this problem through a research and training program aimed at creating and using qd digital twins qddts focused on the case of qds under illumination this goal creates an exceptionally rich environment to form a new cohort of earlystage researchers esrs in nanomaterials trained as experts in the latest methods of synthesis structure analysis and timeresolved spectroscopy from infrared to xray and computational materials science esrs will learn to join forces to reach the common goal of demonstrating loadingresilient qds synthesized according to best qd structures as predicted by the qddts to facilitate such a collaborative endeavor all esrs will be trained to use and codevelop a common data platform and they will be permanently exposed to the diversity of environments needed to implement together a qddt thanks to the deep collaboration between wordleading academic beneficiaries and startup companies in nanomaterials and computational chemistry scientific training is complemented by extensive transferrable skills training moreover the timeliness of the research and training topic digital twins in materials science enables the consortium to implement a proactive outreach strategy which extends from a personal outreach activities of the esrs to qd technology broadcasting to reach a broader field of industrial actors and policy makers and ensure the network has lasting impact on nanomaterials research and innovation
digital payments multidimensional taxes

digitalization is revolutionizing our economies the volume of digital payments has increased exponentially fueled by electronic commerce and financial transactions giant internet platforms are now dominant players at the global level and manage to avoid most taxes new payment service providers are undermining the traditional business model of banks we lack a conceptual framework for guiding the regulatory and taxation reforms that are needed to adapt to this digital revolution i will contribute to provide such a framework by examining 3 questions1 digital payments regulation andor public provisioni will study how the banking regulatory model focused essentially on prudential and monetary issues needs to be adapted to take care of antitrust and privacy issues i will also examine if the public provision of digital payments can eliminate the risk of domination of the payments industry by a few private platforms2 should we tax digital paymentscurrent taxes on digital services and financial transactions are by and large evaded by businesses an alternative is to introduce a small tax on all digital payments it could generate a sizable revenue would be easy to implement difficult to avoid but would also generate distortions i will incorporate payments into a general equilibrium model and carry out a cost benefit analysis of this tax for the 21st century3 multidimensional taxation in a digitalized economytraditional sectors are deeply impacted by the digitalization of the economy thus it would be appropriate to consider a global reform of the tax system however an important theoretical hurdle is to find a way to solve general screening problems with multiple instruments and multiple dimensions of heterogeneity which nobody has done so far based on a recent breakthrough in numerical methods i will provide such a general solution and apply it to multidimensional taxation in a digitalized economy