Dragon09/odtu_chatbot huggingface dataset:
the inscribed city urban structures and interaction in rome

rome as the firstever megacity reaching c1 million inhabitants in the early empire 1st cent bce remains an enigma regarding the way it organised itself and maintained that size for over three centuries having long outgrown the 4thcent bce city walls the urbanistic structures that developed outside of these and especially outside the later aurelian wall have never been studied systematically and holistically inrome aims to fill this fundamental gap it will describe for the first time how different parts of the population ethnicities status groups genders and their activities map onto the citys surroundings via military stations association seats sanctuaries production sites mines agriculture retail baths guesthouses tombs and villas translating topographical relations into social ones it aims significantly to enhance our understanding of the citys social fabricmethodologically inrome breaks new ground by unlocking the enormous potential of inscriptions for our understanding of romes urban development and social fabric through virtual recontextualisation and statistical analysis the authoritative epigraphic database roma will be extended to include all latin and greek inscriptions with known or probable provenance totalling c50000 they will be linked to romes most sophisticated digital archaeological cadastre sitar via a newly created map layer of 17th20thcent properties the main historic reference to location these new resources will allow the exploration of topographical patterns of activities on an unprecedented scale revolutionising access to a vast pool of historic information and restoring romes people back into their landscapeoutputs include six books and two international conferences with proceedings the georeferenced inscriptions and historic property map will be lasting resources beyond this project and will radically transform a wide range of research from multiple disciplines
study of membrane lipid composition and alphasynuclein spreading

neurodegenerative pathologies nds including parkinsons disease represent a huge burden worldwide from a health economical and societal point of view however the physiopathology of these diseases is not well understood making the discovery of a cure extremely hard a common feature of nds is the accumulation of misfolded proteins such as alphasynuclein asyn in different types of proteinaceous aggregates the formation of which follows a prionlike spreading mechanism in this context the host lab has extensively studied the capability of neuronal and nonneuronal cells to transfer asyn through tunneling nano tubes tnts however the causes and mechanisms of a asyn misfolding and accumulation are still poorly understood asyn is a lipidbinding protein that associates with the head of phospholipids and it is involved in the regulation of vesicles trafficking given the ability of asyn to directly bind membranes studying the lipid composition of asyninteracting membranes appears to be pivotal to understand its function and the consequences of its misfolding on the cell homeostasis and metabolism in this regard a peculiar class of glycerophospholipids called nacylethanolamines napes which are enriched in the neuronal membranes after injurious stimuli have been shown to regulate the binding and stabilization of proteins that interact with the inner leaflet the present proposal aims to investigate the role of napes in asyn anchorage to membrane and how the perturbation of membrane lipid composition is affecting asyn spreading in vitro and in vivo the combination of pharmacological biochemical and molecular biology techniques applied in various neurodegenerative models and my strong knowledge in nape biology and metabolism together with the expertise of the host lab in cuttingedge imaging techniques applied to membrane trafficking and asyn spreading are crucial and will assure the successful development of this project
reliable ai and data optimisation

raido is a powerful framework solution designed to develop trustworthy and green artificial intelligence ai trustworthy ai focuses on ensuring the reliability safety and unbiased optimization and deployment of ai systems particularly in critical applications such as healthcare farming energy and robotics on the other hand green ai involves the development and deployment of energyefficient and environmentally sustainable ai technologies leading to reduced environmental impact and improved resource managementraido provides an array of automated data curation and enrichment methods including digital twins and diffusion models to create highquality representative unbiased and compliant training data it also offers various data and computeefficient models and tools to create energyefficient green ai such as few and zeroshot learning dataset and model search data and model distillation and continual learningto ensure the transparency explainability and reliability of the optimized ai models and data handling processes raido uses various xai methods decentralized blockchain feedbackbased reinforcement learning novel kpis and visualization techniques additionally the innovative ai orchestrator optimizes related tasks and processes reducing the overall energy consumption and environmental footprint of the models during both development and deploymentraido emphasizes the development of dynamic interfaces that support the appropriate ai paradigms central distributed dynamic hybrid and enable seamless adaptation to the needs of the use situation furthermore raido will be evaluated through four reallife demonstrators in key application domains such as smart grids computer visionbased smart farming healthcare and robotics showcasing notable societal and market impact
multimodal integration of olfactory and acoustic cues in mouse courtship communication

the ability to select a suitable mating partner is one of the primary mechanisms under which evolution occurs animals have evolved speciesspecific communication strategies that influence mate choice during courtship males display a combination of multisensory sexual cues to attract females despite extensive work has been done in understanding the role of different sexual cues in female attraction the neuronal mechanisms that regulate multisensory integration of courtship displays are completely unexplored male mice attract females by releasing sexual chemosignals contained in their urine and scent and emitting ultrasound vocalizations usvs in inbred mice females display an innate preference for usvs emitted by novel unfamiliar individuals this preference emerges only if they are primed with male odours indicating multisensory integration to be fundamental for mate selection how the brain integrates multimodal information for usvs preference is completely unknown i will capitalize on recent advances in optical imaging and neuroanatomy including stateofthe art high throughput techniques such as lightsheet wholebrain imaging and multisite functional recordings combined with natural instinctive behaviours and in vivo electrophysiology to i identify key brain areas involved in olfactory and acoustic integration for usvs preference during mate choice ii investigate how olfaction modulates usvs sensory processing in primary auditory areas the proposed project will identify the neuronal basis of multisensory integration of courtship cues during mate choice it will provide extensive training in neuroanatomy behavioural assays and advanced optical approaches to study naturalistic behaviours and multimodal communication in rodents the success of this proposal will have a major impact on my career development enabling me to become an independent researcher and ultimately establish my own research group in the neuroethology field
spinnaker on the edge

ai driven systems are improving our lives tremendously but they face a performance wall they have to rely on hardware with communication bottlenecks that limit ai applications and waste a lot of energy in 2013 europe launched the billioneuro human brain project to deepen our understanding of neuroscience and neuromorphic computing spinncloud systems is a deeptech spinoff leveraging cuttingedge research backed by thousands of publications from the human brain project to provide highlyparallel and realtime computing solutions that can power third generation of aidriven systems our unprecedented spinncloud platform presents a unique combination of neuromorphic deep learning and symbolic layers which yield realtime lowlatency energyefficient and cognitive ai systems up to now our technology has been limited to largescale systems on the cloud our project will enable us to develop spinnode edge system so that ai applications can run on the cloud to edge continuum in real time this will not only increase the visibility of spinnaker2 technology it will also set up a new path for commercializing our core technology with eic transition support we will translate cutting edge science originating from the human brain project into solid industrial applications our mission is to be the european pioneer driving the third wave of ai realtime autonomous and sustainable
from inspiral to kilonova

recent years have seen the blossoming of multimessenger astrophysics where gravitational waves photons and neutrinos provide complementary views on cosmic explosions involving some of the universes most enigmatic objects namely neutron stars and black holes the first observation of a neutron star merger via both gravitational waves and days later an electromagnetic flash called kilonova enabled huge scientific leaps forward and was therefore celebrated as 2017 breakthrough of the year multimessenger astrophysics has an enormous potential to solve many longstanding puzzles such as the origin of the heaviest elements or the nature of the densest matter in the universe provided that we understand how the different messengers are physically connected the gravitational wave and electromagnetic emission stages however involve vastly different length and time scales and completely different physical processes therefore currently strong assumptions need to be made how both stages are actually physically connected on the verge of this transformational era of physics i propose to calculate for the first time the evolution from the inspiral milliseconds before the merger to the time after the kilonova months later within a common simulation framework this will become possible via the novel computational methodology that i have recently developed the worldwide first lagrangian hydrodynamics code that also consistently solves einsteins equations compared to conventional numerical relativity codes my new development has major advantages in evolving the merger ejecta which finally cause the kilonova this project will provide for the first time detailed physical structures of neutron star merger remnants and the first onetoone mapping between the physics of the merger and the gravitational wave neutrino and electromagnetic signals this will present a major breakthrough for both the nuclear astrophysics and the multimessenger communities
knowledge technologies for democracy

ai and big data are fundamentally interwoven into our societies culture and indeed into our expectations and conceptions of democratic governance and exchange they can also however contribute to an environment for citizens that is distinctly antidemocratic kt4d will harness the benefits of an understanding of these as knowledge technologies to foster more inclusive civic participation in democracy to achieve this we will develop and validate tools guidelines and a digital democracy lab demonstrators platform these results will be validated across three user needs scenarios 1 building capacity for citizens and citizenfacing civil society organisations csos 2 creating regulatory tools and services for policy and csos and 3 improving awareness of how to design ethically and mindfully for democracy principles in academic and industrial software development our work is underpinned by the understanding that to fully address the social and fundamental rights costs of ai and big data we need more than just technological fixes we need more than just technological fixes we need to address the underlying cultural influences and barriers most importantly we understand the threats to democracy of ai and big data not only through the nature of what they do but via the cultural disruptions they create with power dynamics they shift their tendency toward opacity and the speed at which they change kt4ds ambitious and disruptive results will drive transformation in how democracy and civic participation are facilitated in the face of rapidly changing knowledge technologies enabling actors across society to capitalise on the many benefits these technologies can bring in terms of community empowerment social integration individual agency and trust in both institutions and technological instruments while confidently mitigating potential ethical legal and cultural risks
portable quantum sensors for neurosurgery

modern medical diagnostics heavily rely on optical measurements especially for realtime analysis of deep tissue crucial for tasks like postcancer surgery monitoring where cancer recurrence is a risk due to leftover malignant cells current imageguided surgery techniques face limitations in resolution and realtime imaging posing challenges for completely excising tumors while preserving healthy tissue fluorescence lifetime imaging microscopy offers superior depth resolution by measuring the time a fluorophore spends in the excited state before emitting a photon this technique minimizes errors from environmental factors and photon scattering in tissue but suffers from limited penetration depth superconducting nanowire singlephoton detectors snspds present a solution due to their high performance in longer wavelengths enabling greater penetration depth however current snspds require substantial cooling and are bulky making them unsuitable for clinical settings the aim is to develop a portable quantum sensor based on snspds integrated into a timeresolved fluorescence imaging microscope for use in operating rooms the prototype will feature a compact cryogenic system for cooling optimized detectors for efficiency and speed and software for image analysis made of eu components the system aims for medicalgrade quality enabling realtime analysis of tumor and healthy tissues during surgery ultimately improving patient outcomes
integrated and circular technologies for sustainable city region food systems in africa

current african city region food systems fail to deliver food and nutrition security fns health and environmental sustainability incitisfood develops scientifically underpinned circular agrifood technologies and practices suitable for african cities the context specific sociotechnological use cases of incitisfood address the prevalent deficiency of animal sourced foods vegetables and fruits hydroponics aquaponics and insect farming hold great promise because they require limited land water energy wealth and reduce waste hydroponics and aquaponics infer soilless circular vegetable and fish farming enterprises using an interdisciplinary approach inclusive and scalable business models are developed for these enterprises contributing to thriving and collaborative communities this circular food system thinking improves fns delivers safe affordable nutritious and healthy food reduces waste and the environmental footprint in african cities incitisfood follows a multiactor approach for codesign and cocreation of circular agrifood innovations and business models involving 8 city living labs in 6 countries from 3 african regions east kenya west ghana nigeria sierra leone central cameroon gabon the project aims for its innovations and businesses to attain a technological societal and business readiness level of trl7 srl7 and brl5 respectively incitisfood agrifood innovations and business models will be widely adopted because their research and innovation maturity are proven by a largescale demonstration as part of the cascade fund 1000000 international ecosystem building is promoted by the digital incitisfood platform on smartagrihubseu to support african innovation actors in strengthening resilience inclusiveness and fns incitisfood guides policy transformation by adhering to the eu taxonomy regulation and milan urban food policy pact the consortium is constituted with the euafrica dialogue in mind
eualmpo eu active labor market policies observatory

the eualmpo introduces the establishment of the eu almp observatory an innovative entity aimed at reshaping the approach toward almps within the european union the primary goal of this observatory is to address and rectify the prevalent deficiencies in the formulation execution and evaluation of almps among eu member states it seeks to create a comprehensive framework to guide policymakers in the development implementation and scrutiny of almps ensuring more effective and equitable labor market interventions the observatory plans to leverage a centralized information technology platform augmented with sophisticated ai tools these technological advancements will provide indispensable support to policymakers researchers and labor market professionals in designing almps that are both innovative and inclusive the ai tools integration is particularly significant as it promises to enhance the analytical capabilities of the observatory enabling a deeper and more nuanced understanding of the complexities associated with almps this is anticipated to lead to the formulation of more targeted and effective labor market strategies moreover the eu almpo is envisioned to serve as a critical resource for labor market policy combining advanced methodologies comprehensive data sets cuttingedge technology and expert insights this will empower stakeholders across the eu to develop more effective labor market policies but also more responsive to the dynamic needs of the workforce furthermore the observatory aims to facilitate the improvement of labor market integration and skill enhancement among workers focusing on vulnerable groups it addresses the current challenges faced by the labor market anticipates future trends and requirements and meets the diverse needs of labor market stakeholders the eu almp observatory aspires to become an indispensable tool in the realm of labor market policy towards a more inclusive and resilient european labor market
contributions to the inservice education of primary school teachers from their engagement in mathematics landscapes of investigation

my research objective is to understand from the perspective of critical mathematics education how inservice primary school teachers using a methodology of landscapes of investigation are involved in the study and development of teaching activities in order to achieve the general objective of this study specifically we propose objective one o1 to verify in the european context the current scenario of research in mathematics education aimed at training primary school teachers to work with investigative activities objective two o2 to analyse how primary school teachers learn from a practice of continuing education to produce activities based on landscapes of investigation and develop them with their students objective three o3 to identify continuing education dynamics that favour primary teacher learning related to the creation of a landscape of investigation in mathematics classes and objective four o4 to analyse changes in the teaching conception of primary school teachers related to mathematics based on their involvement in continuing education practices and creation of landscapes of investigation we use a case study methodology with a qualitative approach to reach o1 we will conduct a detailed review of the current literature in the european context in mathematics education aimed at training primary school teachers to achieve o2 o3 and o4 we will analyse teacher engagement in a continuing education practice aimed at portuguese primary teachers in this practice developed in 50 hours we will explore the creation and development of pedagogical activities based on the landscape of investigation in mathematics classes the data will be obtained through the formative practice the method of data collection will be participant observation using video and audio recording notes in the researchers field notebook and semistructured interviews we will use category content analysis to analyse the data
development of advanced next generation solidstate batteries for electromobility applications

to date the battery market is dominated by lithiumion liion chemistries as the energy density has more than doubled and their costs have dropped by a factor of at least 10 however conventional liion batteries lib are reaching their performance limits in terms of energy density and facing safety issues is required the development and production of new battery generations such as solidstate batteries ssbs to create a new industry value chain in europe towards their commercialization consequently highenergydensity eumade ssbs will ensure the supply of among others the automotive sector to do so the development and deployment of new manufacturing technologies enabling the largescale production of ssbs is crucial indeed among the overarching themes to develop and produce sustainable batteries in the future the battery 2030 roadmap4 considers manufacturability as a crosscutting key area innovative and scalable manufacturing techniques to produce ssbs will accelerate cost reduction energy savings and enhanced safety advagen will develop a new lithium metal lim battery cell technology based on a safe reliable and high performing hybrid solidstate electrolyte llzolps based gaining a competitive advantage over the worldwide mainly asian competition this will sustainably strengthen the eu as a technological and manufacturing leader in batteries as specified in the ertrac electrification roadmap and setplan action point7 advagen consortium contains key eu actors in the battery sector from industrial materials producers scht cpt abee battery manufacturer abee to rd centers ike cea irec tub cice polito inegi ul fev and the automotive industry tme covering the complete knowledge and value chain by developing highperformance affordable and safe batteries advagen aims to reestablish european competitiveness in battery cell production
embedding catalysts in liquid wall flow devices

flow reactors offer benefits over batch reactions such as precise control over conditions and high turnover numbers of catalysts through immobilization in packed beds however the small dimensions of the flow reactor lead to increased friction between solvent and reactor wall which causes loss in efficiency in addition flow systems are vulnerable to reagents that may foul or clog the system the host group recently developed microfluidic tubes with ferrofluid walls the walls are kept in place by a quadrupolar arrangement of magnets while their liquid nature diminishes the friction at the interface and prevents particles from clogging the system by temporarily expanding the microtube when necessary in this project i intend to improve on this system by embedding wellestablished catalysts immobilized on magnetite nanoparticles into the ferrofluid this will allow us to achieve the high turnover numbers that are common for flow reactors containing immobilized catalysts while benefiting from the lowfriction and anticlogging properties of the liquid wall tubes in addition i will perform mechanistic analysis of the newly developed flow reactions in liquid wall tubes this will aid the broader scientific community to further expand the utility of this new technology as such the project promises important improvements in the field of flow chemistry the highly interdisciplinary nature of the project allows me to fully apply my expertise in the field of catalysis while benefiting from knowledge transfer in microfluidics in which the host research group has an expertise