Dragon09/odtu_chatbot huggingface dataset:
twinning towards research excellence in evidencebased planning and urban design

twin2expand will enhance research capacities in evidencebased urban design and planning ebdp as a field of critical importance in the ri of integrated approaches and technologies for effective spatial planning and sustainable urban governance the project facilitates a partnership among university of cyprus three leading institutions in the field university college london chalmers university of technology polytechnic university of turin and one pioneering sme practicing ebdp space syntax limited by addressing urban sustainability twin2expand will contribute to achieving targets of the cyprus smart specialisation strategy the eu green deal and the sustainable urban development goals the strategic objectives of the project are to enhance research excellence and promote interdisciplinary research and networking in the ebdp field and to make a broader impact on the scientific community and society twin2expand embraces the international networking ethos of the sdgs to achieve scientific excellence in the ri of the built environment fully embedding it within the quadruple helix by fostering collaboration with local authorities and other stakeholders it aims to achieve a scientific and integrative approach to urban planning and governance as the entry point into effective transitioning to sustainable development focusing on emerging concepts and challenges in the field the project proposes a generalised conceptual and working model of evidencebased urban design and planning by embedding open science practices within the projects activities twin2expand will make significant contributions to research excellence scientific advances and societal progress implementing three pathways to maximise substantive realworld impacti innovative capacitybuilding in research management and excellence in the ebdp fieldii cocreation of evidencebased urban design and planning knowledge andiii emphasis on translation of scientific knowledge to professional practice knowledge
understanding and preventing the impact of endocrine disruptors on the hypothalamuspituitary axis in sensitive populations

exposure to multiple endocrine disrupting chemicals edc is an environmental insult that interferes with the development and function of the endocrine system governed by the hypothalamuspituitary hp axis this interaction is specially concerning in developmental stages of life such as the perinatal period and puberty despite the current body of knowledge on edc actions on the endocrine system a comprehensive holistic understanding of the impact on the hp axis is still lacking hypiend aims to understand the effects of edc coexposure in the function and epigenetic programming of the hp axis to delineate interventional strategies for minimizing exposure and consequences on the neuroendocrine system during the perinatal and prepubertal stages to do that a computational toxicology methodological framework will be built leveraging public data and state of the art data analysis techniques to define edc coexposure patterns in target population the resulting patterns will be evaluated in a sequential tiered approach consisting in cellbased screenings danio rerio models of hp axes in vitro in silico and in vivo models of placenta and blood brain barrier diffusion and new models of organoidsbased organonchip recapitulating the hp axis edc effects on epigenetic programming will be evaluated in preclinical models of perinatal and early childhood whole genome dna methylation patterns in the different models will be explored as a source of noninvasive biomarkers of hp axis disruption by edc the knowledge generated in preclinical models will be applied in two multicentrecontrolled intervention studies intended to minimize exposure to edc in children in the perinatal and prepuberty stages hypiend outcomes will be novel approach methodologies based in in vitro and in silico models noninvasive biomarkers of hp disruption by edc and new intervention strategies to minimize edc exposure in sensitive population
start talking about research today

european researchers night events have been held at trinity college dublin every year since 2013 coordinated by the office of the dean of research at trinity and in collaboration with partners at the british council rcsi adapt and qualia analytics start 2022 and 2023 will expand the scope of its activities to spark deeper more impactful engagement with the publicbased on the idea start talking about research today start will be a hybrid event that will activate various sites around ireland to highlight the fact that research happens everywhere and takes many forms start will provide an opportunity for the general public and researchers to engage with each other in new ways through a combination of inperson and virtual activities demonstrations tours talks and more start will promote the idea that research is a living fundamental part of our society that impacts on and involves everyonestart will work to achieve a number of specific goals 1 create new dialogues between researchers and the general public that will lead to a deeper more profound and sustained engagement with each other 2 raise awareness of research and research careers as positive forces in our society 3 highlight the role of the european union in supporting research and discoverypublic engagement and communications workshops will be offered to all mscafunded researchers as well as other participants in the events on the night a series of activities and showcases will be held across a variety of locations to raise awareness in the months preceding european researchers night the start project group has a wealth of talent and experience in public engagement activities including previous ern events and the project team will draw on this expertise to ensure that start 202223 is grounded in best practice
magrid a languagefree and scientifically validated program to develop visualspatial cognitive and math abilities in 39 year old children including those with special education needs

i have a masters in computer science and a phd in child psychology i developed magrid a languagefree evidencebased pedagogical learning program that develops and significantly improves visualspatial cognitive math abilities for 39yearold children including those with special education needs sen by as much as 70 from my personal experience i observed my brother who has dyslexia struggle to learn how to read and the impact it had on hisnonlanguage studies such as math similarly i observed luxembourgs children of immigrant population and children withneurodiversity falling behind in math learning which has a lifelong impact while at the university of luxembourg i was able to usemy expertise in technology and psychology to develop magridmagrid is the result of more than 5 years of rd bringing together the knowledge of experts with 20 years of experience in earlychildhood development psychology neuroscience and computer science to create a languagefree and scientifically validatedpedagogical math program magrid is validated in six scientific studies in over 30 schools in germany france luxembourg withover 1000 children demonstrating significant improvements in math learning and performance for all children including specialeducation needs sen utilizing stateoftheart early math development research over 2500 digital lessons build visualspatialcognitive and math abilities over 2years magrid has now been implemented in all public schools in luxembourg and is nowexpanding to schools in portugal as a result of our work we have been fortunate to win the 2022 mit solve award wsa in le the eib social innovation tournament 2021 award and more our mission is to create equal learning opportunities for all children through magrids learning solution we would invest financial support in exploring how ai in magrid can be used to diagnose specific learning disabilities and intervention needs
citizen assemblies in europe window dressing or transformative instruments

to improve and even to save contemporary democracies under huge pressure and attack a remedy has been attracting a large amount of attention the strengthening of ordinary citizens opportunities to deliberate on and directly participate in politics in this regard many citizens assemblies cas have been implemented by public authorities especially since the 2010s convened through random selection these assemblies are diversified groups of citizens that deliberate on a public problem and make policy recommendations existing research provides detailed descriptions of the internal dynamics of cas and shows that most citizens are able to deliberate on complex issues nevertheless they fail to identify and explain their more external impacts in the context of the growing appeal for such mechanisms citizenimpact asks the fundamental question are cas mere window dressing or do they lead to transformations in the functioning of the political system it radically changes the dominant perspective on cas by taking stock of several decades of research on policy studies governance and institutional dynamics it offers a systematic account of whether how and why cas matter in contemporary european countries by elaborating a new multidimensional conceptualisation of their impact direct impact on policies indirect impact on civil society and discursive impact on the public sphere to address these three dimensions the research design combines different methods to compare macro national trends frame analysis of the media survey with civil society organisations and to disentangle complex processes process tracing interviews hence citizenimpact provides a new horizon to tackle both in the scientific community and the broader society the role and contribution of such participatory and deliberative procedures in contemporary representative democracies
ecofriendly and bioinspired proteinbased synthesis of magnetic nanomaterials for advanced cancer theranostics

the key goals of protenanomag are a the training of a talented researcher dr lourdes marcano in the fastgrowing field of science technology and industrial applications of nanomedicine where the host and partner institutions have critical knowledge and expertise and b the design development and optimisation of ecofriendly synthesis routes using bioinspired simplified engineered proteins as templates for the preparation of magnetic nanoparticles for effective diagnosis and therapeutic intervention in cancer treatment the interdisciplinary training program includes protein engineering preparation of magnetic nanomaterials characterization including sophisticated synchrotronrelated techniques invitro studies magnetic resonance imaging and implementation for hyperthermia applications the fellow is a talented researcher who has gained much expertise in biological synthesis mediated by magnetotactic bacteria natural systems which are inspiration to protenanomag and structural and magnetic characterization of singledomain magnetic nanoparticles during her undergraduate and postgraduate career to further boost her career she needs to gain expertise in alternative routes for the preparation of magnetic nanomaterials design and characterization of recombinant simplified protein systems and stateoftheart techniques such as spaceresolved xray fluorescence and absorption spectroscopies fields in which the cic biomagune and the two secondment cohosts the esrf and the universitt bayreuth have a worldrecognised expertise additionally through the sixmonth placement at resonant circuits ltd the fellow will gain additional highlevel training in magnetic hyperthermia for the medicalindustrial application of the prepared magnetic nanoparticles this multidisciplinary project will also increase her supervision experience project and intellectual property management expertise and research funding and proposal writing skills
cognitive variability emerging from gut microbiota diversity in an insect society

the animal gut microbiota is diverse hosting multiple bacterial species whose presence and abundance differ between individuals over the past decade evidence that the gut microbiota influences its host cognitive functions has accumulated but mostly relied on correlative studies in humans and laboratory research involving microbiotafree rodents it is therefore unclear whether interindividual variation in gut microbiota composition supports cognitive variability in natural populations of nonhuman animals this project will leverage the honey bee model to bring ecological perspectives on the study of the microbiotagutbrain axis while elucidating the neurobiological mechanisms by which gut microbiota diversity drives cognitive variability honey bees offer a unique opportunity to finely manipulate gut microbiota composition using reconstituted gut bacterial communities their social life fosters cognitive variability among individuals and provides an ideal system for assessing the ecological relevance of the microbiotagutbrain axis in a realworld context the keystone of our naturalistic approach will be the implementation of mini hives allowing honey bees with reconstituted gut bacterial communities to forage in their natural environment we will search for bacterial species and their metabolic products affecting the neural processes supporting cognitive functions and foraging efficiency we will investigate the impact of gut microbiota composition and its associated cognitive variability on bees foraging behaviour and the fitness of the hive this multidisciplinary project will provide groundbreaking insights into the fields of cognitive ecology neuroscience gut microbiology hostmicrobe symbiosis and honey bee health through this holistic approach i aim to provide fresh perspectives on the interplay between gut bacteria cognitive abilities and ecological adaptation
emotai emotion driver state monitoring system based on ai

according to the european union eu statistics in europe alone road crashes kills around 500 persons every week more than 25000 people die every year and more than 135000 are seriously injured with a monetary cost of around 280 billion eur to halt this uncovered pandemic the eu has declared its ambitious longterm goal call vision zero to reduce the number of casualties and accidents to zero by the year 2050 to advance towards this goal a general safety regulation gsr has been recently mandated to install driver assisting devices by 2030 focusing on the major factors causing crashes driver distraction fatigue and drowsiness to comply with these regulations automobile companies are eager to install advanced driver assistance technologies in vehicles for driver assistance and alerting current solutions however are limited to some specific aspects eg sleeping phoning looking off without having a holistic understanding of the whole situation of the driver and with a big rate of false alarms that generate more distraction and annoyance to the driver that ultimately prefers to switch it off to avoid having continuous false alarms without any benefit to tackle this important challenge in this fellowship we propose to develop emotai emotion driver state monitoring system based on ai a noninvasive tool that aims to address driver state monitoring and alertness challenges to maximize driver attention and safety we will be doing this by integrating novel aibased technology using deep neural networks with noninvasive sensors and cameras with the novel theories in cognitive psychology in driving that aim to combine the information from 4 main pillars the attention level the activation level the performance level and the external factors our unique innovative solution aims to provide for the first time a comprehensive holistic understanding of the drivers behavior and emotional status to provide timely alerts to prevent accidents
fostering excellent research training and innovation in biomedical data science

the instituto de medicina molecular joo lobo antunes imm is a leading european institute in basic biomedical research now establishing a pioneering centre of excellence in humancentred clinical and translational research in portugal research at imm increasingly requires analysing large volumes of molecular phenotypic and clinical data but its development is constrained by the national scarcity of experts in biomedical data science biomics is therefore set on imms strong datadriven research and innovation ri model and investment on the digital transformation of biomedical and clinical research biomics aims at 1 leveraging imms excellence in biomedical data science by implementing joint research projects with the partner institutions strengthening existing interactions and promoting new ones through staff exchanges expert visits and joint lab retreats 2 training a new generation of critically thinking and ethically aware researchers who are able to test scientific hypotheses on biomedical data and soundly interpret their results through integration in international mentoring networks facilitating conference and thematic course attendance and organising onsite training 3 enhancing international awareness and attract talent to imm in data science through mobility of researchers targeted dissemination and communication activities and onsite organisation of workshops and an international conference 4 strengthening imms entrepreneurial and innovation capacity adapting it to the digital transformation of biomedical and clinical research through professional technology transfer activities and synergies with the information technology industry biomics will sustainably leverage imms timely ri model by supporting the associated digital transformation making imm internationally competitive in biomedical data science moreover biomics will provide the partners with a platform for exploring the translational potential of their research
democratic governance environmental and climate challenges and societal transformation deliberation inclusiveness and citizen empowerment for sustainable food systems

demetra will demonstrate means to alleviate tensions between democratic governance and climate and sustainability transitions through an analysis of new deliberative participatory processes dpps such as citizens assemblies and egovernance these bottomup processes can be highly inclusive allowing to afford a genuine political voice to all segments of society accordingly gender and intersectional aspects eg socioeconomic background ethnicity will be focused on throughout the project in particular with regard to citizen participation demetra analyzes the micro meso and macrolevel opportunities for dpps across europe supporting the transition towards a more sustainable future focuses in particular the transformation towards a more sustainable food system as a crucial case study systematically compares dpps setup processes and outcomes to identify best practices that contribute to citizens democratic engagement and the coconstruction of sustainable societies identifies dpps that maximize inclusiveness and empowerment across social groups particularly those at the margins of society and identifies widely applicable solutions to engage in the transformation toward sustainable food systems demetra builds on a multidimensional approach that combines macro institutional meso organizational and microlevel individual explanatory factors a crossnational comparative design that includes european countries with different dpps experience and different food systems estonia france germany italy sweden switzerland and uk and an integrated methodological approach based on multiple sources and methods including population surveys organizational survey semistructured interviews participant observation and public policy analysis in view of the climate imperative and related environmental challenges demetra seeks to provide tools for a democratic governance of sustainability transformation
dissecting renal metabolic reprogramming heterogeneity to target kidney fibrosis

chronic kidney disease ckd affects 10 of the population and fibrosis driven by excessive accumulation of extracellular matrix ecm is the hallmark of ckd myofibroblasts are the key ecm producing cells and are activated by crosstalk with injured proximal tubule anchronic kidney disease ckd affects 10 of the population and fibrosis driven by excessive accumulation of extracellular matrix ecm is the hallmark of ckd myofibroblasts are the key ecm producing cells and are activated by crosstalk with injured proximal tubule and immune cells although a derangement in fatty acid oxidation fao of tubular epithelium is crucial in the pathophysiology of ckd the metabolic rewiring of kidney myofibroblasts remains elusive our preliminary observations suggest that cell typespecific metabolic shifts could define new cellular subpopulations with a differential role in the fibrogenic response to understand this the following objectives have been defined 1 to decipher the role of fao in myofibroblasts during kidney fibrosis 2to dissect metabolic changes as important drivers of kidney fibrosis and ckd 3 to validate key metabolic pathways in complex ex vivo models of kidney fibrosis to address these aims i will map the genetic and metabolic spatiotemporal features of kidney fibrosis by a combination of cuttingedge multiomics technologies at large scale spatial single cell atac sequencing for transcriptomics and space m for metabolomics this will be complemented by advanced computational analyses and modeling using ckd human biopsies and mouse renal samples from available genetic models for myofibroblast tracing and fao enhancement innovative in vitro systems cell coculture and kidney organoid systems will be used to identify and target cell typespecific metabolic reprogramming strategies based on the modulation of these metabolic shifts will provide a firm basis for novel metabolismoriented therapeutic approaches against renal fibrosis and ckd
lifeinspired soft matter

to fulfil the quest for increasingly functional materials biology has already offered inspiration towards advances in materials science so far bioinspired materials include eg liquid and dirtrepelling surfaces structural colours biomimetic composites strong fibers tissue templating and underwater adhesives on the other hand stimulusresponsive shape memory and reconfigurable materials have been presented with switchable functional properties they are typically in global or local energy equilibrium and their properties do not evolve or learn to allow new responsesthe next challenge is to explore whether some of the characteristics considered typical for life could inspire new behaviours of artificial soft matter towards lifeinspired materialsherein i suggest three approaches 1 voltage controlled dynamic outofequilibrium dissipative mechanical properties and temperaturebased switching between dynamic and static properties 2 light and voltagedriven selfregulation with feedback loops for adaptation homeostasis and oscillations 3 optical spiking for dynamic structural coloursthe impact of this project arises from demonstrators and paradigm changing concepts for materials memory biological learninginspired processes and dynamic feedback control the underlying embodied intelligence and adaptibility pave ways to new materials concepts in the long run materials with such properties are foreseen eg in humandevice interfacing artificial skin prostheses technical aids wearables soft robots and medical applications