Dragon09/odtu_chatbot huggingface dataset:
smart material system to enhance the service life of reinforced concrete structures

sustainable development is one of the main challenges that humanity has to face to progress the construction industry strongly influences the achievement of this goal as it heavily impacts on resource and energy consumption waste production greenhouse gas emission the extension of the service life of structures will be one of the measures necessary for this sector to support sustainable development since it can save resources decrease the carbon footprint and reduce waste production reinforced concrete structures rcs represent the vast majority of the built environment so research efforts should be focused especially on this type of structures one of the most promising approaches to prolong the servicelife of rcs is the development and implementation of smart structures being structures able to sense some external stimuli process the information and respond autonomously in real time by using smart materials technologies research on this topic is advancing but it is still a challenge to achieve efficient systemsthe final goal of smash is precisely to develop an efficient smart material system to be implemented in rcs in order to enhance their service life on the way to sustainable development the key enabling technologies to develop this system will be capsulebased selfhealing and voltammetric sensors combined together to produce a synergic effectwith the support of my supervisor prof paola antonaci and her extensive knowledge in the development and characterization methods for innovative building materials the fellowship will train me in the frontier fields of selfhealing and advanced repair technologies complementing my expertise on sensor systems ultimately smash will provide a crucial contribution to relevant research on the reduction of the environmental impact of the construction sector and on the advancement of smart materials to achieve smart structures in order to reach sdg 11 sustainable cities and communities
matterwave interferometers

the field of matterwave interferometry is emerging as a highlypromising interdisciplinary field at the interface between fundamental science and quantum technologiesphotonicssemiconductor european industry the primary goals of mawi are to use the exquisite control of ultracold quantum matter to implement guided matterwave interferometers and to train young researchers in the emerging fields of matterwave interferometry and quantum sensors based on interferometric schemes the remit of mawi is in the area of novel quantum sensing devices with potential sensitivity enhancement of several orders of magnitude with respect to existing devices achieving this goal requires training the next generation of quantum interferometry researchers to a broad range of topics from fundamental to applied science including both experimental developments and modelling with strong connections to industry and emerging technological trends our training network focuses on the combination of optimal preparation of initial ultracold atomic sources and potentials to control and guide the atoms their combination to build integrated guided atom interferometers for precision measurements eg of rotations and accelerations and technological advances towards their miniaturisation the end goal of a fullyintegrated cold atom quantum device could become a major commercial tool in the coming decade complementing or potentially even hybridising with parallel developments in the photonics and semiconductor industries supported by our stateoftheart facilities our complementary expertise and skills the participation of wellknown european companies and a broad range of established external partners we are poised to make lasting contributions to the scientific and technological developments of integrated matterwave architectures and to the training of the next generation of research leaders who will propel quantum technologies even beyond our current expectations
gen 4b solid state liion battery by additive manufacturing

am4bat will develop innovative component materials and assemble an anodefree allsolidstate battery assb manufactured by a costcompetitive and sustainable vat photopolymerization 3d printing the objective is to reach a highperformance battery the energy density of 400 whkg and 1000 whl for electric vehicles applications this will be achieved by developing materials including i single crystal nmc811 with superior energy ii lnmo cofree and higher voltage for power am4bat variant iii dopped llzo with different size from 05 to 5m and 50100 nm for higher loading in the hse and iv novel acrylic nanocellulose sustainable photocurable polymer the materials will be optimized for their processing by additive manufacturing am4bat will then validate the technology via 3ah pouch cells reaching trl5 and will carry out an evaluation of manufacturability a full sustainability assessment and a recycling study to support customers uptake identified stakeholder groups as well as other research initiatives will be actively involved to ensure dissemination of am4bat results and broader users acceptance with its ambitious concept based on cuttingedge 3d printed assb and a strong consortium involving the whole value chain from material providers to an oem am4bat aims to overcome the remaining technological obstacles of the gen 4b technology as specified in the work programme and accomplish the urgent shorterterm needs of the battery industry to make gen 4b batteries a viable technology beyond 2025 on longer term the am4bat outcomes will contribute to the creation of a sustainable european battery manufacturing value chain helping the eu to succeed in the electric mobility rollout and accelerate the energy transition
uncovering the proteomic radial organization within the eukaryotic nucleus

recent evidence gathered in the bienko lab indicates that in addition to dna many nuclear proteins including several transcription factors implicated in cell fate determination are nonrandomly radially distributed in the nucleus of mammalian cells this fascinating observation led me to hypothesize that there exist a broad set of nuclear proteins that are arranged along radial gradients in the nucleus acting as readers of the radial genome architecture within this msca postdoctoral fellowship i aim at tackling this exciting hypothesis by addressing the following fundamental questions i how are nuclear proteins radially arranged in the nucleus of cells undergoing differentiation towards opposing lineages ii what drives and maintains different radial patterns of proteins in the nucleus iii is the radial arrangement of proteins in the nucleus functionally relevant to address these central questions i will first develop an innovative tool to map the spatial arrangement of nuclear proteins radially i will then apply the newly developed method to chart the radial nuclear proteome in human induced pluripotent stem cells ipscs undergoing differentiation towards different lineages finally i will explore the functional implications of the radial organization of nuclear proteins by attempting to rewire nuclear radiality and assessing the effects on gene expression and cell identity this clearly interdisciplinary project aims at finding an explanation in the spatial organization of the genome and the nuclear proteome to a key question arising from cell and developmental biology how lineagespecific gene expression programs are set up with this ambitious proposal i will dive into the exciting field of 3d genome organization while addressing a completely new hypothesis and potentially making groundbreaking discoveries
advanced technologies for scanning and detection of illicit material for postal services and express courier flows iflows toolkit

preventing and fighting illicit material and dangerous substances postal and courier services flows in eu areas is of top priority however ensuring efficiency speed and continuity in screening and detection tasks remains yet a challenge currently custom police and courier authorities involve a range of screening systems in place but there is still much to do in terms of detection efficacy and creation of intelligence towards risk and threat identification on top of that criminals or smugglers exploit the multitude of flows and easily spot security gaps that allow parcels or letters to be transported within or across eu with relative ease to overcome these constraints iflows proposes a unique approach to assist customs police and postalcourier services in preventing and detecting such crimes by improving operational readiness enhancing situation awareness reducing detection time providing operational efficiency and achieving superior mission performance iflows will design develop integrate test and validate a novel multitier synergistic toolkit in enhancing intelligence extraction screening and detection operations of illicit material and hazardous substances within courier and postal flows moving across and within eu borders iflows works upon these 3 building blocks to deliver a a tailored to such operations c4i that boosts preparedness and cooperation between police customs and courierpostal services b enhanced intelligence in terms of threats risks and suspicious flows and c novel detection technologies ie thz scanning system and uwb scanner featuring enhanced detection capabilities over a large span of illicit material and substances which coupled with advanced imagebased feature extraction in combination to legacy systems eg xray and raman optimise the detection process without interrupting the postalcourier flows
multihazard and risk informed system for enhanced local and regional disaster risk management

this project will develop a decisionsupport system dss for disaster risk management by considering multiple interacting natural hazards and cascading impacts using a novel resilientinformed and serviceoriented approach that accounts for forecasted modifications in the hazard eg climate change vulnerabilityresilience eg aging structures and populations and exposure eg population decreaseincrease the primary deliverable from mediate will be a decision support framework in the form of serviceorientated web tool and accompanying disaster risk management framework providing end users local authorities businesses etc with the ability to build accurate scenarios to model the potential impact of their mitigation and adaptation risk management actions the scenarios which can be customised to reflect local conditions and needs eg demographics deprivation natural resources etc will be based on a combination of the historical record and future climate change projections to forecast the location and intensity of climate related disaster events and to predict their impacts including cascading impacts on the vulnerability of the local physical economic and social systems the scenarios will allow end users to evaluate the potential impact of different risk management strategies to reduce vulnerability and enhance community resilience the project will consist of analysis of relevant data and codevelopment with testbed decisionmakers of a dss to enable more reliable resilience assessments accounting for risk mitigation and adaptive capabilities to be made therefore reducing losses human financial environmental etc from future climaterelated and geophysical disasters the project will involve a multidisciplinary team of geophysical and meteorological scientists risk engineers social scientists information technologists and endusers working together to ensure that the system is userled and supported by appropriate technology
genealogies of human capital

genealogies of human capital genhumcap explores the rise of human capital theories between the collapse of the labor theory of value and the world banks recent human capital plan specifically it charts how human life although formally absent from market exchange was rendered tractable to neoclassical practices of valuation and calculated investment then how diverse experts used these methods to reconfigure healthcare development aid and population control programs in the name of maximized future wellbeing using methods from sociology the history of science and the digital humanities the project will gather new data from archives expert interviews and new textmining techniques analyzing the results in light of contemporary french sociological studies of the social sciences it will do so in close dialogue with leading sociologists at the cessp in paris under the supervision of professor gisle sapiro to disseminate its findings the project will result in a conference two academic articles and a book manuscript and in publicfacing summaries in newspapers and eusponsored dissemination projects through innovative interdisciplinary methods genhuc will provide the first substantial investigation into human capital advancing multiple fields by reframing a series of sociological debates on neoliberalism biopolitics and biocapital and creating new connections between the history of science sociology and economics in the process it will cement the base for a competitive research career in european academia
engineering light induced phase change for emerging nanoscale processes

lightinduced phase change lpc is the unifying theme underpinning many apparently nonrelated processes in i additive manufacturing am for metals where laser induced vaporisation and the formation of keyhole porosity is a major limiting factor for 3d printing ii nanomedicine nm where laser induced nanobubble dynamics and associated shockwave effect is powerful for malicious cell destruction and iii solar energy en where direct steam vapor production from bulk and surface fluid is a promising technology for power and clean water solutions in addition to the challenging multiscale nature of phase change lpc add further complexities by introducing the multiphysics nature due to strong lightabsorber interactions we will tackle the fundamental challenge of the formation and control of lpc and develop a physicsbased platform supported by multiscale experimentation and multiscale simulation as the tool to design and engineer lpc as innovative mechanism for in situ process steering and control five work programs are designed focusing on two complementary paradigms i fundamental studies for enhancing lpc mechanism understanding via developing physicsinformed multiscale modelling validated by dedicated nanoscale experiments and ii application studies for engineering lpc for designed functions towards en nm and am respectively many breakthroughs beyond stateofart work are expected such as i the establishment of a unique multiphysics and multiscale lpc simulation platform ii the revelation of lpc mechanisms by sub 100 nm experiments with localized temperature and nanobubble dynamics measurement and iii the reverse engineering of lpc to maximize solar vapor production inhibit keyhole pore formation and control nanobubble shockwave effects the project will not only advance lpc understanding in the domain of thermodynamics and heat transfer but also transfer the developed expertise into emerging applications
training and innovation in reliable and efficient chip design for edge ai

artificial intelligence is increasingly being brought to the source of data thus establishing the edge ai concept edge ai is gaining momentum across various industries and services by public authorities and enables new applications requiring high performance ultralow latency with high bandwidth efficient power use and intelligence beyond regular computing its strategic importance is emphasised through the eu chips act monetary investments in the eu semiconductor supply chain highlighting the urgent need for a qualified workforce the advancements in edge ai applications face critical research and engineering challenges related to limited computing and energy resources of the edge devices limitations of the existing ai algorithms and their insufficient fit also the related rapid technological advancements market dynamics interdisciplinarity and regulatory uncertainty set a unique challenge for the valorisation and management of edgeai innovations the general research objective of tiramisu is a practical methodology for reliable and energyefficient edge ai hardware backbone design and innovation managementthe action will provide strong interdisciplinary training for future european engineers and researchers driving the innovation for reliable and energyefficient edge ai chips the consortium is strategically designed to foster crossdisciplinary synergies by seamlessly integrating innovation management research with the technical aspects of edge ai design the nonacademic sector is represented by a european flagship rd hub for nanoelectronics imec a global leader in industrial electronics and the largest semiconductor manufacturer in germany infineon a trusted automotive solutions provider punch the worldwide leader in eda tools development cadence the academic excellence is established by the top ict and technology innovation engineering universities and europes largest applicationoriented research organisation fraunhofer
ecosystemic resilience against platformization

digital platforms can massively erode the social environment in which they operate for instance shortterm rental platforms strs such as airbnb dislodge vulnerable locals from their homes escalate gentrification and further fuel overtourism urban ecosystems develop organized responses to such disruptions ranging from local social movements to international city alliances which take action to address extensive platformization while the knowledge of the systemic effects of the platformization of society is increasing we still know little about the emergent resilient responses and the further effects they set in gear this project titled ecosystem resilience against platformization erap fills the gap by exploring and theorizing the efforts to counter the negative effects caused by strs erap employs case study methodology to zoom in on four eu cities where the negative effects of strs are particularly visible but the responses are vastly different the fieldwork focuses especially on giving voice to and learning from underprivileged groups eg tenants at risk of losing housing and housing movements complementing that is a longitudinal study tracking the efforts to establish euwide str regulations leveraging the novel interdisciplinary field of digital ecology erap will trace patterns of ecosystemic intensifications eg the loss of affordable housing and the emergent organised resilient responses the analytical emphasis will be on the configurations of social actors mobilised in those processes their tactics the use of digital technology and interconnections eg alliances with the goal of explaining the systemic dynamics of digital resilience erap will contribute to the growing field of digital ecology and inform eus policy on nextgeneration sustainable digitalisation emphasising that the future of digitalization is negotiated among a broad range of stakeholders and across levels from local to transnational
elucidating the genomic architecture of genetic load

how can we accurately measure and predict genetic load in svload i aim to understand how an often overlooked but high impact class of genomic variation contributes to genetic load structural variants svs have been shown to have significant implications for individual and population fitness and impact more genomic content overall than traditional wholegenomic markers ie single nucleotide polymorphisms snps however wholegenome svs are underrepresented in population studies as they have historically been difficult to characterise and genotype at the populationscale as a result the dynamics of sv diversity in the face of fundamental evolutionary processes eg selection recombination and population size is relatively unresolved and hinders the study of genetic load across disciplines to address this gap i will implement insilico approaches to forecast and experimentally test how svs respond to different demographic parameters in a nonmodel species coelopa frigida during my phd and first postdoc i honed the sequencing and bioinformatic skills necessary to study genomewide svs at the populationscale i will bring this expertise to the host lab of dr mrot and dr glmin at the universit de rennes ur france experts in the field of evolutionary biology and ecology training with the host lab and a secondment with aprof bataillon at aarhus university au denmark will broaden my modelling and experimental skills through these collaborations i will learn new multidisciplinary approaches in modelling statistical genomics and experimentation this project will not only complement my existing skills but enable me to gain a competitive advantage in establishing my european career in the exciting and dynamic field of evolutionary biology finally this project will aid in advancing our understanding of genetic load which remains a fundamental challenge for biologists in the agriculture conservation and evolution research sectors
explainable trustworthy brainlike ai for data intensive applications

in parallel to the current developments in the socalled narrow artificial intelligence ai realm there is an urgent demand for more universal general ai approaches that can operate across a wider spectrum of application domains with varying data characteristics it is expected that the emerging sustainable ai methods can be efficiently deployed in the edgecloud continuum on different hardware platforms and computing infrastructure depending on the realworld task scenarios and constraints including the limited energy budget in response to this growing demand and emerging trends we propose to adopt a brainlike approach to ai system design due to its promising potential for functional flexibility hardware friendliness as well as energy efficiency among others to this end extrabrain is aimed at developing a new generation of ai solutions based on brainlike neural networks that enable us to overcome key limitations of the current stateoftheart methods exemplified by deep learning such as limited crosstask generalisation and extrapolation to novel domains bounded reliability excessive dependence on costly annotated data as well as extensive training and validation processes with heavy demand for compute resources at high energy cost to name a few the core brainlike neural network design in our approach derives from the accumulated computational neuroscience insights into the brains working principles of information processing key learning schemes and neuroanatomical structures that underlie the brains perceptualcognitive phenomena and its functional flexibility furthermore these novel models are supported by data optimisation pipelines which improve data quality security and reduce the costs of assembling suitable training data and an explainability framework to empower the human user the proposed extrabrain framework will be examined in a diverse set of use cases with different hardware demands in the edgecloud continuum