Dragon09/odtu_chatbot huggingface dataset:
electricitydriven enzymatic cascades to transform co2 to c2 chemicals

the increasing level of carbon dioxide co2 in the atmosphere presents a critical factor for climate change and action must be taken urgently to minimise its impact using co2 as a carbon source in the chemical industry for its conversion into valuable chemicals is an advantageous strategy to reduce co2 emissions and provide a sustainable and cheap source of raw materials to help combat raw material scarcity interfacing co2 reducing enzymeenzymatic cascades with electrocatalysis present a particular approach to directly power product generation from co2 with renewable electricity this was achieved for a few enzymatic cascades however these proofofconcept demonstrations are far from practical use due to lack of efficient method to guide the rational design of these complex multienzymes cascades on electrodes resulting in high costs and low yields within this project transco2 my overarching aim is to apply quantitative analysis and rational assembly of enzymatic cascades to enable a breakthrough in bioelectrocatalytictechnology to transform carbon dioxide co2 directly into high value mevalonate c5 at high isolated yields using electricity as energy source specifically co2 is firstly converted to formate by the enzyme formate dehydrogenase fdh which is then further converted to mevalonate via 8 steps enzymatic conversions the whole system will function in an electrochemical cell to make use of electricity as power input i will build a kinetic model for this enzymatic cascade and implement it to guide the design and optimisation towards highest efficiency with minimal utilization of expensive cofactorsthe overall technology in transco2 will be a generally applicable breakthrough for efficient production of highvalue chemicals from co2 enabling the largescale use of co2 utilisation
on the edge aidriven autonomous inspection robots

energy robotics proposes an endtoend robot agnostic aidriven software platform that enables a diverse fleet of mobile robots to autonomously conduct routine inspections in industrial plants including remote and hazardous facilities the use of innovative ontheedge artificial intelligence technologies for robotic awareness of the surrounding environment semantic scene understanding deeply connected data analysis and novel sense react capabilities will change the paradigm of autonomous inspection robots airs enabling artificial common sense for execution of inspections in unstructured and frequently changing industrial environmentsedge air will unlock the full potential for our product in currently targeted industries oil gas energy and chemical and in new segments such as mining construction security surveillance and agriculture that present large demand for inspection in constantly changing environments and robots capable of supervised manipulation
the body positioning system a gps for somatosensory space

reaching to an object touching the body is so commonplace that we hardly give it a second thought however this simple behavior is actually an incredibly complicated problem the brain must solve on a daily basis somatosensory information is initially represented in neural maps whose relationship with the physical body is ambiguous despite this the brain can accurately pinpoint where the object is in threedimensional space and move the reaching hand towards it how remains a mystery though its solution is necessary for making concrete progress on societal issues such as designing prosthetics that can be embodied somatogps introduces the first neurocomputational framework aimed at solving this mysterymy novel approach leverages an analogy with computations used by manmade positioning technology in order to gain insight into potential solutions global positioning systems gps ingeniously turn localization into a problem of geometry pinpointing an object on earth by calculating its distance from multiple satellites i propose that the brain uses a somatosensory version of gps that i call the body positioning system bps i hypothesize that like the gps the brain reduces localization to its geometry by keeping track of the distances between each body part and their distances from a tactile object the brain could compute a reach to the object the main aim of somatogps is to characterize how the bps is implemented by neural computations from neural map to body movement i will develop novel behavioral and neuroimaging paradigms to measure localization in two and three dimensions model the underlying geometric computations and their neural implementation and manipulate the geometry of the body in order to perturb these neural computations this innovative proposal provides the first neurocomputational model of tactile localization representing a new stateoftheart in our understanding of somatosensory space
advances in empirical methods for time series and forecasting in unstable environments

the environment we live in is both complex and time varying examples of recent instabilities include the recent financial crises as well as the more recent covid19 pandemic and the war in ukraine which have substantially altered our world currently however the way researchers implement forecasts as well as the way they estimate the effects of economic policies is based on methods that either impose restrictive assumptions on the nature of instabilities or quickly become computationally demanding in the presence of instabilitiesthis project proposes to develop a local projectionbased estimator for timevarying parameter models and their impulse response functions in unstable environments which we refer to as the timevarying parameter local projection estimator or tvplp in short the proposed estimator is expected to provide a feasible approach to conveniently and flexibly estimate economic models in unstable environments as well as more broadly forecasting and assessing the effects of economic policies the proposed estimator can be generalized to include instrumental variables as well as be applied in vector autoregressive models with external instruments while being robust to the presence of instabilities the proposed methodology is expected to have widespread applicability given the increasing interest in using convenient local projection estimators and the substantial evidence of instabilities in macroeconomic modelsin contrast to conventional timevarying parameter var models the proposed timevarying parameter local projection estimator is robust to the presence of noninvertibility due to omitted variables and misspecification and its estimation is less computationally challengingthe advantages of the methodology will be illustrated in terms of forecasting ability as well as the evaluation of the effects of economic policy in particular fiscal policy
structured interactive perception and learning for holistic robotic embodied intelligence

robot learning has made remarkable strides thanks to highcapacity neural models and extensive datasets however there are persisting research questions concerning largescale robot learning models are massive architectures and data needed for achieving robotic embodied intelligence to solve tasks intuitive to humans and how can we make substantial progress toward robust and adaptive robot learning systems to operate in the dynamic real world i posit that these open problems stem from overlooking the underlying principles and structure that govern the intricate robotenvironment interaction and evolutionsiren addresses these pressing issues by proposing a unique systemic view of robot learning through the holistic representation of robot and environment as an integrated system to achieve this we will unveil key properties of the actionperception cycle for developing embodied intelligence by studying the intertwined flow of information and energy within the components of the holistic system for that we propose a framework that pioneers informationdriven and physicsaware objectives that encompass the learning from embodied multisensorial streams of a modular graph representation of the robotenvironment system and its dynamics backed by the versatility of graph neural networks allowing for modular uncertainty estimation to promote robustness eventually we will yield resilient dynamics for training uncertaintyaware composable skills to adapt to new tasks sirens breakthroughs will enable robots like humanoid mobile manipulators to merge in unstructured humanlike settings and perform challenging tasks that require smooth and efficient perceptionaction coordination balancing generalization and robustness in the face of inevitable realworld uncertainties our paradigm shift opens avenues for future groundbreaking research rooted in sirens impacts toward continuous robot learning systems that are integrated and evolve with their environment
literary games poetics and the earlymodern novel

literary games were a widespread practice in seventeenthcentury france and prominent novelists wrote fictions about a salon company playing the game of the novel jeu du roman while literary games were clearly defined the novel was a genre that had yet to establish its standards in order to enhance our understanding of a decisive period for the novel 16001700 this project proposes to study how authors model their own practice creatively through play jeux is the first comprehensive systematic investigation of literary games and their impact on the development of the standards for the most prominent literary genre today the novel jeux thereby takes a groundbreaking perspective on the novel in the making the main objectives are to 1 analyse systematically the impact of earlymodern literary games on the narrative standards for fictional worlds formal coherence and narrators in the novel 2 identify how literary games contribute to the selftheorising of a new genre 3 reevaluate the role of play and games in writing literary history using an innovative combination of literary theory game studies narratology and anthropological fieldwork jeux goes beyond traditional metaphors of literature as a kind of gameplay and investigates an actual literary game from theoretical historical and empirical perspectives to assess play as practice jeux will invite creativewriting students to play earlymodern games and thereby pioneer a new methodological approach to explore cultural practices as a potential site for creativity innovation and community also in the contemporary worldjeux will sharpen current understanding of decisive developments in the form poetics and history of the novel it will enhance our grasp of the dynamics between games and narratives and contribute to the rediscovery of the cultural heritage of literary games through the investigation of the neglected corpus of evidence jeux will tell a new history of the novel
platform optimisation to enable nanomaterial safety assessment for rapid commercialisation

advanced nanomaterials adnms will lead a new industrial revolution and accelerate the transition to greener technologies and better health care however lack of practical and reliable protocols to evaluate adnms potential hazards and risks has hindered innovation so far potential will generate a methodological framework comprising a set of harmonised protocols for characterisation testing grouping and readacross of adnms that meet regulatory requirements for risk assessment by improvinga advanced imaging protocols to quantify and characterize the intrinsic and extrinsic properties of adnms in complex matrices using conventional analytical methods b protocols to trace the evolution of adnms properties throughout their lifecycle and methodologies for accelerated testing c in vitro multicellular models in vivo invertebrate models and ecotoxicological models for assessing the environmental and health hazard of adnmsgrouping and readacross approaches will build up on results from existing horizon initiatives gracious sunshine and harmless and will generate novel algorithms for similarity assessment grouping hypotheses and integrated approaches to testing and assessments iatasthe protocols generated in the project will be validated through peerreviewed publications and disseminated in open access furthermore we will engage with the relevant standardisation bodies and organisations oecd iso cen to ensure that our approach can be translated into industry standardsthe consortium comprises 11 european partners and 1 international partner china among which 4 hightech smes specialised in adnms and a hightech incubator accelerator potential contributes to the horizon europe workprogram by helping establish appropriate methods for costefficient assessment and prediction of the health and environmental effects of adnms as well as supporting the inclusion of new methods to support safeandsustainablebydesign
mechanism and significance of de novo gene methylation during reproduction in marchantia

dna methylation plays fundamental roles in gene regulation and cell identity in plants and animals however these two kingdoms exhibit distinct methylation patterns and reprogramming of methylation during development occurs in different ways i have exciting evidence from the emerging model plant system marchantia polymorpha of de novo dna methylation at thousands of genes in the embryo that is analogous to gene methylation established in the oocyte of mammals a subset of these genes are also methylated in the marchantia male sex organ prior to fertilisation and are enriched for roles in hormone signalling epigenetics and developmental transitions indicating parental imprinting events important for embryo development i propose to conduct a targeted dissection of this phenomenon i will be hosted first by prof ecker salk institute us who is a world leader in single cell epigenomics i will carry out highthroughput single cell methylomics and transcriptomics in combination with other cuttingedge molecular techniques to precisely determine the developmental processes undergoing gene methylation reprogramming as well as the underlying epigenetic players involved in the return phase i will be hosted by prof solano centro nacional de biotecnologa spain who is an expert in motif analysis and marchantia hormone biology with his expertise i will investigate the methylation targeting mechanism and will utilise methylation loss lines to confirm the role of gene methylation in transcriptional regulation as well as development with a focus on ethylene signalling this proposal represents a stateoftheart class of study of dna methylation through which i will broaden my scientific knowledge develop complementary skills such as lab management and science outreach and extend my professional network internationally the experiences gained during this fellowship will be essential to achieve my goal of leading a research group at the forefront of epigenetics
nextgeneration surgical robotics to set a new standard of care in orthopaedic surgery

driven by a growing and aging population demand for orthopaedic surgery is rapidly increasing orthopaedic surgical techniques however have not changed in decades and 95 of procedures are performed without technological assistance this means that the length and outcome of a procedure is entirely dependent on the experience of the surgeon surgical procedures are cumbersome and costly with conventional instrumentation providing no means to collect data from the operating room or to optimise procedures or facilitate patientspecific surgical planning ganymed is retooling orthopaedics with the next generation of surgical robotics our product is the first compact ergonomic intuitive and costeffective device supporting surgeons to perform more precise and safer jointreplacement procedures the robot introduces computer visiondriven intelligence and perception into the or enabling contactless localisation of the patients anatomy and paving the way for a datadriven or
visualising hibernia in ireland c1770 c1930

changing political relations between ireland northern ireland and the united kingdom and the attendant prospect of a united ireland have given rise to lively debate within political and public spheres on the capacity of irelands national symbols to represent pluralist notions of irish identity concurrently the uks decision to leave the european union has led to shifts in how irish and northern irish citizens identify with the eu responding to such developments visualising hibernia aims to investigate how visual representations of hibernia the female personification of ireland historically transcended political sectarian cultural and religious boundaries in ireland and thereby reveal the historic diversity of irish identities as well as their complex relations with britain and europe focusing on the period from c1770 to c1930 visualising hibernia will produce the first dedicated study of this highly significant but neglected figure in irish cultural history and angloirish political relationsas an inherently classical figure hibernia has typically been perceived as the nonnative embodiment of ireland adopted by the countrys eighteenthcentury protestant ascendancy ruling elite or as fodder for nineteenthcentury british political cartoonists visualising hibernia complicates such perceptions by foregrounding how groups across the irish political spectrum employed the personification in the period c1770c1930 ranging from a protestant minority seeking selfgovernance under the british crown to catholic and radical republicans or angloirish cultural nationalists it will be conducted under the supervision of prof lynda mulvin an expert on classical antiquity and its reception at ucd a leading institute for research on irish political and cultural history it will result in a minimum of three peerreviewed articles an online multimedia exhibition and communication activities including a podcast series
ai for vision zero in road safety

ivory ai for vision zero in road safety is an industrial doctorates network aiming to develop a new framework for optimal integration of artificial intelligence ai in road safety research and train a new generation of leading researchers in the field it addresses the un sustainable development goals target 36 and the ec vision zero strategy of halving traffic fatalities by 2030 and eliminating them by 2050ivory addresses the lack of common understanding of the challenges and opportunities of ai for road safety by means of 4 research goals it aims to develop i responsible fair and impactful ai for road safety ii new ways of road user support and humanvehicleenvironment interaction iii new scalable and equitable ai technologies for proactive infrastructure safety management iv a sustainable knowledge sharing network on ai for road safety ivory outputs will not only provide more robust user support through ai in vehicle automation but will also allow to responsibly and proactively manage the persistent problems of existing conventional lowautomation transport systems so that new opportunities for global road safety impact can emerge moreover ivory takes a designforvalues approach for ai in road safety operationalising the ethical principles of justice and explainability and providing efficient ai solutions also for disadvantaged groups eg vulnerable road users lowtomiddleincome countries ivory consists of 4 academic and 6 nonacademic beneficiaries and 12 associated partners joining from engineering data science and ethics of technology disciplines from 11 countries 13 young researchers will receive highlevel doctoral education industrial exposure local training and 85 ects of networkwide training on key advanced core and transferable skillsivory will create an online learning networking platform for ai in road safety to be available after the end of the project for future researchers in this field
food systems in transition participatory open citizen research for sustainable nutrition

the global food system responsible for up to 37 of ghg emissions requires urgent transformation due to challenges from urbanisation and unsustainable diets additionally climate change and biodiversity loss exacerbate the vulnerability of european food systems as seen in recent climaterelated disasters like wildfires and droughts compounded by disruptions such as the covid19 pandemic despite food abundance in europe food insecurity threatens millions of european citizens necessitating a comprehensive approach encompassing knowledge technologies behaviours and policies that promote healthier and more sustainable food systems given citizen science cs as a potent tool for achieving these goals spoon takes the innovative approach to food insecurity by employing cs to empower citizens in creating a more inclusive and sustainable food environment spoons four main aims are to deepen scientific knowledge about food environments increase capacity of policymakers in datadriven decisionmaking foster crosssector collaboration increase agency of citizens to change their food consumption behaviour and local food environments and foster more confidence in citizens in sharing personal food data spoon bridges the intentionaction gap towards healthier and more sustainable diets by placing citizens at the forefront of transforming the food system through cs integration spoons conceptual framework centres around six cs labs in europe coordinated by local partners and utilising a multiactor approach citizens engage as both researchers and subjects testing and validating innovative digital tools to collect analyse and interpret data on their food consumption behaviors and local food environments to then codesign and run smallscale behaviour change interventions together with other stakeholders spoon prioritises gdpr compliance and fair principles in its data management
antartic living heritage

the project will shed light on the potential antarctic living heritage building tools to map the cultural diversity of the continent antarctica is the only continent on earth with no native human population territorial demarcations or urbanization the human presence is historically recent beginning approximately two centuries ago since 1960 the occupation of antarctica by people has been officially regulated by the antarctic treaty to occur only temporarily by seasonal rotation based on scientific proposals and to generate a very low impact on the environment due to the treaty logistical cooperation between countries and the coexistence of teams from different nationalities became a notable fact at the antarctic scientific stations these aspects contribute to the development of a unique set of cultural expressions on the continent which have never been systematically studied before and consequently are apart from protocols for safeguarding global intangible heritage to begin to overcome this separation this project pursues the construction of research guidelines oriented to the case of antarctica and a cultural map using arches an open software platform belonging to the getty foundation based on geographic information systemgis arches is a software for managing cultural heritage which in addition to the geolocation of cultural elements allows different types of data processing the guides for this research will be built based on anthropological methodology and ethnographic data collection and will take into account global cultural and heritage policies recommended by organizations such as unesco the map will be an open tool prepared to be shared completed and improved by future initiatives thus the project will initiate an important inventory to identify and safeguard the antarctic living heritage provide resources for society to better understand how people live in antarctica and how cultural expressions have been generated there