Dragon09/odtu_chatbot huggingface dataset:
implementation of a novel in vitro methodology to assess pulmonary toxicological response mechanisms to high aspect ratio and complex materials

the main goal of this work is to assess the use of a novel in vitro methodology for lung toxicity testing of high aspect ratio nanomaterials harn the candidate has substantial experience in exposure science and risk assessment but her expertise regarding particle toxicity is currently relatively limited the purpose of this application is to build a strong background in particle pulmonary toxicity which will complement her expertise and consolidate her as a multidisciplinary researcher increasing her future career opportunities currently to assess health risk due to exposure to different materials the european regulation mainly relays on in vivo animal data however testing the multitude of new materials in vivo is challenging due to high costs and ethical issues in vitro tests are available but still show limitations when compared to in vivo harn are particularly serious for human health and one has been classified as carcinogenic this is due to their size small diameters that makes them respirable needlelike shape and biopersistency in particular this type of materials show specific issues for in vitro testing such as difficulty on preparing homogeneous and temporal stable dispersions or the agglomeration of fibres in the suspension preventing single fibre exposures as opposed to what may occur in the lung therefore new in vitro methods are needed in order to reduce in vivo testing and to overcome some of the mentioned limitations the proposed work aims to fill this gap by testing a novel in vitro methodology that allows very high control of the particles morphology and dose administrated to lung cells at a thin liquid layer by aeroslosation and deposition into dishes prior cell exposure the results from this research will contribute to the current state of the art on fibre lung toxicity mechanisms help on the implementation of a novel in vitro methodology for lung toxicity and work towards the reduction of in vivo testing
studying viral proteinprimed dna replication to develop new gene editing technologies

there are over 6000 human genetic diseases affecting hundreds of millions of people the vast majority are caused by small mutations in dna sequences which are potentially correctable so the development of new gene editing tools will have major benefits for treating human genetic diseases to tackle this challenge we will harness the natural protein diversity of viruses to create new gene editing technologieswe will study an unusual class of viruses that use a unique mechanism to replicate themselves known as proteinprimed dna replication which creates the rare feature of a proteindna covalent bond these viruses are very understudied yet they hold great potential for new biotechnology applications we will study the proteinprimed dna replication machinery of these viruses and then exploit this mechanism to develop a novel technology for synthetic biology creating new ways to amplify and deliver dna into living cells for gene editingour research represents a major breakthrough on two accountsfirstly to discover and characterise large numbers of proteinprimed dna replication proteins from previously unstudied viruses to establish a highly efficient selfreplicating system able to synthesise and amplify large amounts of proteinlinked dna product and to study the molecular details of these viral replication proteins for the first timesecondly to develop proteinlinked dna as a new platform technology for gene editing our strategy to engineer viral proteins will create proteinlinked dna molecules that are for the first time i actively nucleartargeted and ii selfreplicating to address key limitations in the gene editing field and pioneer a new method for highly efficient homologydirected repairoverall our proposal combines fundamental biological study and applied biotechnology research to transform our understanding of these viral proteins and engineer them for groundbreaking advances in gene editing and dna delivery
solar powered atmospheric plasma system for the treatment of contaminated wastewater

atmospheric plasma ap is envisioned as a revolutionary green technology for wastewater treatment as compared to conventional biological and advanced oxidation processes due to its robust performance in degrading recalcitrant emerging contaminants and micropollutants ap powered by dc ac or pulsed power sources in the air or in contact with water produces a multitude of reactive species able to attack and ultimately mineralize the contaminants dissolved in water salient features of this novel technology include operation at ntp flexibility rapid startup in situ generation of reactive species eg h2o2 o3 oh no no2 without chemical addition which makes it a futuristic green technology however an inherent disadvantage is its high energy cost which hinders its large scale application only a few examples of treatment of real water samples are indeed reported previous research on ap application for emerging contaminant removal also lacks in designing and selecting a plasma discharge capable of treating surfactant and nonsurfactant types of emerging contaminants efficiently therefore the objectives of this proposal include the development and testing of a standalone solarpowered dual discharge plasma reactor solarplas for sustainable wastewater treatment targeting efficient removal of emerging contaminants of surfactant and nonsurfactant nature the dual discharge will consist of 1 plasma in contact with liquid at the gasliquid interface for destroying surfactant type of emerging contaminants while 2 plasma discharge at the bottom of the reactor diffused through the air bubbling will effectively degrade nonsurfactant type of emerging contaminants from hospital wastewater and landfill leachate the main outcome of the project will be in the form of an efficient solarpowered ap reactor solarplas for wastewater treatment with defined energy efficiency for the treatment of various types of wastewater matrices municipal industrial etc
semantic v2x communications a paradigm shift towards scalable v2x networks

vehicletoeverything v2x communications are key for the transition towards a connected and automated mobility cam that is essential to accomplish the eu green deal vision of a safer more efficient and sustainable transportation like any existing communication system current v2x communications focus on the reliable and timely transmission of signals without considering the relevance of the transmitted information such relevanceagnostic approach can lead to the transmission of unnecessary data that will challenge the scalability of v2x networks especially in light of the increasing amount of v2x data that will be produced and consumed with the massdeployment of connected and autonomous vehicles cavs in the semanticv2x project we take inspiration from the human language to redesign v2x communications by proposing a paradigm shift that makes the semantics of the information the foundation of the v2x communication process we will capitalize on the semantic processing capabilities natively available in cavs to develop a novel set of analytical and numerical semantic models that determine the relevance of the information for the intended receivers considering the target applications and leveraging a knowledgedriven representation of the communication context semanticv2x will leverage the semantic models to develop a novel semantic and goaloriented v2x communication paradigm where cavs curate the transmitted information based on its relevance for the intended receivers the impact of semantic v2x communications on the scalability of v2x networks as well as on connected and autonomous driving will be assessed using a unique and advanced cam simulator systemlevel v2x simulations and novel semantic kpis we estimate that semantic v2x communications can triple the capacity of v2x networks effectively addressing the massive connectivity demands of cam and contributing to the realization of its economic and societal benefits
ngi international collaboration transatlantic fellowship programme

ngi enrichers aims to be the european gateway for internet innovators to both the us and canada an agile and flexible fellowship programme will provide financial support to internet innovators from european and horizon europe associated countries to travel to the us or to canada and collaborate with their counterparts on ngi next generation internetrelated topics such as on trust and data sovereignty internet architecture renovation and decentralised technologies and solutions three open calls will be organised and 70 to 90 eu internet researchers and innovators will be selected for 3 to 6 months fellowships travel and monthly allowance and be hosted by world class us and canadian universities research centers or cuttingedge internet private sector organisations to jointly develop innovative solutions and services in line with eu values and policy priorities a community platform will support knowledge sharing and help establish longterm collaborations on ngi technologies services and standards fellows will participate in hybrid bootcamps receive ondemand business technical and collaboration support services and mentorship in order to increase the impact of their collaborations and participate in a pitch and award ceremony a pilot action with canada will also be set up to provide additional or reciprocal fellowships to expand or reinforce initiated ngi collaborations ngi enrichers therefore offers a unique and 360 approach offering optimal preparations ideal onsite conditions and longterm effects with sustainable collaboration partnerships and will specifically allow to 1 enhance euus and eucanada cooperation in the development of ngi technologies services and standards 2 reinforce and expand ngi transatlantic ecosystem of top researchers hightech startups smes and internetrelated communities collaborating on the evolution of the internet according to a humancentric approach 3 help sharing the eu vision and values with us and canadian counterparts and thus 4 contribute to the eu internet policy objectives
cellfree synthetic biology for combinatorial biosensor design

recent advances in the field of synthetic biology offer an unprecedented opportunity for nextgeneration biosensors characterized by programmability lowcost and by a sensitivity and specificity unmet by conventional sensors leveraging the rich toolset of synthetic biology we can now not only build better biosensors but also analytical tools that can sense and discern complex analyte profiles such as a panel of biomarkers indicative of a certain disease status these cellfree biosensors developed within the synsenso research program will be transformative for many domains of research and innovation ranging from invitro diagnostics to health environmental and bioprocess monitoring our ambition is to provide a game change in biosensing by combining cellfree synthetic biology with molecular sensor design the synsenso european doctoral network focuses on the construction of novel programmable ligandresponsive elements and the construction of cellfree computing circuits that can integrate molecular signals from those elements together the two components will make up the next generation of combinatorial biosensors that can sense signals and compute a response to them synsenso aims for a modular approach where different responsive elements can be composed with different computing circuits enabling fast construction of suitable sensors for new application domains synsenso brings together academic and industry leaders from the fields of synthetic biology molecular sensor design and dna nanotechnology our industry partners will provide a unique ecosystem for ten doctoral candidates of this network together with the external advisory board including experts from medical diagnostics they will work on concrete case studies for clinically relevant analytes the synsenso training program will empower them to perform worldclass research and become academic or industry leaders in this new emerging field at the intersection of synthetic biology and biosensors
smart electronic olfaction for body odor diagnostics

olfaction provides a wealth of information about our environment partner selection and disease detection are just two examples of the versatility of our olfactory system despite its important role the digitization of the olfactory sense is still in its infancy compared to vision and hearing in particular storing olfactory profiles their ondemand synthesis and transmission are critical barriers to broader use of the specific and unique information provided by olfaction experienced physicians for example rely on their sense of smell as an additional diagnostic tool body odor profiles change over the course of metabolic and inflammatory processes making body odors particularly useful for disease diagnostic and health monitoring thus neurodegenerative or inflammatory diseases can be detected at an early stage with the help of the sense of smell based on the stringent combination of an innovative biomimetic sensor technology a psychological understanding of odor perception and the application of machine learning techniques smellodi will develop a sciencetotechnology breakthrough that will ultimately enable the detection and ondemand synthesis of odors our interdisciplinary team combines expertise in nano and sensor technology clinical olfaction and psychological perception chemistry and material science smellodi will develop technologies for remote medical diagnostics and for assisting individuals with olfactory disorders by visualizing information about their body odor our proofofprinciple odor display will demonstrate for the first time the digitization transmission and synthesis of body odors over time and space the market prospects for intelligent electronic odor recognition are enormous ranging from massmarket devices to highly specialized diagnostic equipment our project will prepare the ground for the necessary innovations to make the technology available to address the societal and economic challenges of the future
gut hormone stimulating capsules for the treatment of gastrointestinal metabolic disorders

hormocaps will help us demonstrate the viability as a commercial product of a dualaction drug delivery system which synergizes its own biological effect and that of the encapsulated bioactive molecule for the oral delivery of peptides this would represent an alternative to current oral incretinbased treatments for gastrointestinal metabolic disorders in hormocaps we will i demonstrate the translational feasibility of our strategy ii evaluate the capacity of the formulation to simultaneously stimulate the secretion of hormones that are present at different concentrations at distinct regions of the gastrointestinal mucosa and iii consolidate our results towards a licensing plan to guide the commercialization of our formulation
digital based biowaste derived metapanels towards a revolutionary building identity

buildings wield substantial influence on the environment accounting for a hefty 30 of global energy usage and a consequential 19 of greenhouse gas emissions to combat this looming crisis the netzero energy building nzeb concept emerges as a transformative paradigm shift in the world of constructionin the midst of this environmental renaissance a digital revolution sweeps across manufacturing presenting a tantalizing prospect of reducing embodied co2 and enhancing thermal control yet a considerable chasm separates these cuttingedge digital technologies from structures crafted from sustainable materials the intricacies of computational and algorithmic design struggle to encapsulate the rich tapestry of nature multiscale marvels the very essence of this green metamorphosis bridging this gap could boost digital fabrication to a mass production system but issues include the complexity of multiscale modeling reliability uncertainties technical limitations in 3d printing and poor solution versatilitypantarei project addresses all these challenges by implementing a revolutionary adaptive intelligent computational irreversible thermodynamics paradigm to design and assess novel biowastederived metastructures for the reduction of embodied co2 in buildings pantarei overarching aim is to extend the capabilities of current computational tools for material design by developing adaptive solutions based on the intertwining of virtual physics of failure and nonequilibrium thermodynamics principles for the biowaste multiscale metastructure design and tailored realization through the entire structure lifecycle with a humancentered perspectivethis could be materialised only with the aid of a multidisciplinary stakeholder coalition which involves renowned universities and companies leaders in computationaldigital design of multiscale metastructures and sustainable manufacturing
spatiotemporal analytical modelling for paleobiology

radical changes in the earths biome as a consequence of climate change will fundamentally affect human society and its relation to the natural world how can we best model species dynamics to make predictions for the future what are the main drivers underlying these dynamics and how are these changing as we enter the anthropocene a great compass for biotic changes we will see in coming decades is the study of changes the earth has experienced before from alterations in the distribution of terrestrial and marine mammals to the dynamic changes in the range and connectivity of forests there is now a wealth of historic and prehistoric records documenting these processes including pollen and fossil records ancient genomes and sedimentary dna here i propose a research programme called spatiotemporal analytical modelling for paleobiology stamp to link these disparate types of paleobiological records with the methodological tools of spatiotemporal process analysis i will focus on three empirical research areas 1 reconstruction of megafauna species ranges across the late pleistocene and holocene 2 reconstruction of boreal paleoforest dynamics 3 study of the historical resilience and mobility of arctic marine mammals these empirical projects will be supported by two computational approaches to inference one based on descriptive spatiotemporal modelling and another based on dynamic simulationbased inference stamp will produce a new conceptual paradigm for thinking about paleobiological data and create a statistical methodology that will be widely applicable to palaeontologists geneticists paleobotanists and ecologists worldwide ultimately it will empower the next generation of paleoscientists with powerful tools to use the living past as a spatial roadmap into the future
intelligent design of adenovirus vectors iads

advanced therapies and in particular gene therapies hold great potential for treating diseases for which few options exist efficient gene transfer is inherently and intransigently linked to vector efficacy partially due to the lack of suitable delivery systems for particular applications the success of too many gene therapies is limited over the last two decades immense progress has been made in the development of viral vectors importantly this progress has also identified vector characteristics and biological factors that decrease efficacy while limited efficacy is relevant for all vector platforms it is more pressing in the case of adenoviruses because they have so much potential in some cases host responses and imperfect targeting have stunted adenovirus vector development for therapies that require longterm transgene expressionour multifaceted consortium proposes an innovative approach to overcome these limitations and to construct a pathway for developing improved vectors for clinical gene transfer by synergising french dutch british spanish and swedish expertise in structural biology receptor engagement neurobiology cardiobiology and bioprocessing we will create in silico designed intelligent adenovirus vectors iads our disruptive concept abandons the classical approach of developing vectors from naturally occurring adenoviruses instead a proprietorial adenovirus type will be serially stripped of unwanted elements to create a bank of iads which will then be engineered for heart and brainspecific targeting our consortium blends academic ingenuity and smepharma manufacturing that will allow seamless clinical translation with the support of the eic programme our groundbreaking approach should revolutionise gene transfer and generate solutions in areas of unmet medical need via a platform that exploits the full potential of viral vectors
exploring the process of urbanisation in the roman provinces of germania through the study of food plant commerce

the arrival of the romans in large parts of current europe had a major impact on society with the creation of a new transport network and the development of cities being two of the most significant and lasting changes however so far little work has been done to quantify and understand their connection how this developed and its lasting consequences through the study of importedintroduced food plants into the provinces of germania in the roman period plantnetgem aims to contribute to a better understanding of foodways and the role of transport and commerce in the development of the population nuclei in this area it will apply a novel interdisciplinary approach combining archaeobotany computational archaeology and data science through practical training by the supervisory team that pioneered part of the proposed methodology the project will start by creating a geodatabase where archaeobotanical and archaeological information from the study area will be stored these will provide the analytical basis to identify which food plants arrived and when who had access to these and the reasons why network science will be applied to reconstruct settlement connectivity in relation to a their access to the introduced food plants and b their position within and access to the roman transport network agentbased modelling and statistical analyses will be applied to further allow testing hypotheses concerning settlement position and hierarchy in relation to commerce to ultimately evaluate the role of the ancient transport network in the distribution and importance of urban centres and analyse to which degree these patterns have endured in time up to the modern period plantnetgem builds upon the candidates solid expertise and involves training on big data management network analysis agent based modelling and associated geostatistical analysis to equip her with innovative skills that will add a new dimension to her analytical potential and boost her career
bringing sheet music into the digital era via artificial intelligence

since the ancient greeks musical text has been preserved as written or sheet music in the last 100 years preservation of audio recordings has evolved from nondigital vinyl discs cassettes to digital mediums cds mp3 streaming with new technological possibilities as consequence sheet music remained static it is mostly available on paper or as paperscanfiles enote sets out to evolve sheet music from paper and pdfscans to native digital content in order to be able to apply modernday technologies such as artificial intelligence and big data for solving key issues of modernday musiciansenote is developing an application for tablets and smartphones which for the first time in history will give musicians access to a comprehensive library of nativedigital sheet music including artificial intelligence functionalities this allows for groundbreaking features solving core problems of static sheet music itself and the limited possibilities of interaction that come with it