Dragon09/odtu_chatbot huggingface dataset:
reworlding repositioning participatory design to tackle socioenvironmental challenges

socioenvironmental issues are experienced differently by different actors communities and organisations leading to societal polarisation and inhibiting urgently needed actions around these issues as participatory design pd researchers we observe a need for design approaches that can bring diverse actors together to tackle these challenges in participatory ways with particular care for those who remain silent both as human and nonhuman actors eg plants rivers or insects reworlding doctoral network aims to investigate and outline such a careful and situated pd approach that can better understand and create synergies between the different worlds in which people live and work and the nonhuman worlds they are entangled with this is achieved through an interdisciplinary methodology based on collective learning and participatory action research embedded in intersectoral collaborations with nonacademic partners who address socioenvironmental issues from diverse perspectives in doing so the network identifies and articulates reworlding design capabilities that can support nextgeneration researchers in tackling the connections of social and environmental challenges design capabilities link research and training in reworlding the research program explores the capabilities needed to address socioenvironmental issues and their translation to specific skills and training needs based on research insights the training program iterates the proposed courses and enhances identified capabilities by exposing the 10 recruited researchers to nonacademic socioenvironmental practices the program includes retracing lecture series reconnecting methods training reimagining summer schools reinstitutioning webinars and reworlding assemblies through articulated pathways to impact we connect the project activities with stakeholders on different scales and relevant programs at european and international levels such as sdgs and european green deal
quantum generative adversarial networks with photonic integrated circuits qugantic

the rapidly growing global adaptation of digital technologies has brought an exponential increase in data and computing power consumption and conventional supercomputers are now reaching their limit in terms of power and energy efficiency quantum computers have garnered attention as a way to overcome the struggles of classical computers technological progress is happening fast but the socalled quantum advantage results reported have no meaningful realworld tasks yet and severe scaling problems remain an alternative strategy of encoding information in highdimensional spaces using qudits rather than qubits is extremely promising for enhancing computational capacity accuracy speed and noise robustness however this approach is still in its infancy qugantic proposes a sciencetowardstechnology breakthrough in scalable data loading and learning with quantum processors based on a novel concept of hybrid integration on a single photonic integrated chip pic our innovative target is the first quantum computer using qudits generated by quantum frequency combs with the potential to execute operations in a reduced number of steps and provide the first scalable pic quantum computer learning distributions of data and generating artificial samples is a formidable task for classical computers and we will use our novel qudit pic platform to demonstrate that socalled quantum generative adversarial networks can solve this task far better than classical systems our goal will make an unprecedented impact on economy science and society as it will predict the behavior of globally critical areas such as energy distribution weather phenomena risk assessments and epidemic spreads by processing vast data sets with a drastic reduction of computational overheads our processors have a credible path to market and qugantic has the right hardware and software partners to realize this enormous potential
decoding dark matter with stellar streams from beyond the milky way

one of the key questions driving astrophysics research today is the nature of dark matter which comprises 80 of the matter in the universe stellar streams are sensitive to the distribution of dark matter and to the population of dark matter subhalos in galaxies both of which depend on the mass and interactions of the dark matter particle my proposed work will use the wealth of incoming stellar stream data materializing over the next five years from the nancy grace roman space telescope the vera c rubin observatory and the euclid space telescope to measure dark matter halo masses shapes and concentrations as well as subhalo populations of external galaxies i will lead a fundamental shift in the approach to stellar stream studies through statistical modeltodata comparisons between theoretical predictions from various dark matter candidates cold warm wavelike selfinteracting and the actual stream data to achieve this goal i will develop novel numerical techniques which model and fit multiple streams at once in multiple external galaxies run stateoftheart nbody simulations of disrupting globular clusters in dwarf galaxies to place theoretical constraints on the expected substructure and carry out statistical comparisons between dark matter models and properties derived from the stellar stream data i will rule out dark matter candidates that are inconsistent with the new stellar stream data and by the end of the 60month grant period i will have the worldleading constraints on dark matter from stellar streams this work provides an innovative method for mapping the otherwise invisible dark matter and will constrain statistical properties of dark matter related to its nature and possible extensions of the standard model of particle physics
shared anchors for floating wind turbines

on the framework of the energy transition in europe new technologies are under research development and implementation one of the targets of the european commission is by 2030 to achieve a 32 of energy capacity based on renewable sources offshore wind energy is one of the renewable energy sources contemplated in the european strategic energy technology plan set plan as part of the actions for research and innovation new potential areas with more intense and stable wind conditions and minimized visual impact on the coastline have been identified deep waters of 60 m depth this motivates the idea of implementing floating wind turbines as an alternative to reach deep water locations with a great potential as a step further in the offshore wind industry one of the main challenges for this technology is the cost associated with the construction of the platforms for the wind turbines and the mooring systems to anchor the turbines in deep water one of the solutions to optimize offshore floating wind farms costs is sharing the anchors connected to the mooring systems that secure the wind turbines when subjected to the ocean environmental laods the research proposed here shared anchors for floating wind turbines sharewind aims to provide design guidelines and evaluate the loading capacity of shared anchors installed in clayey seabed profiles as most of the research on this topic has been adressed in sands as part of sharewind the applicant will i develop physical models of shared anchors to be tested at theuniveiffel france geotechnical centrifuge ii perform numerical simulations and parametric studies to provide design guidelines and failure envelopes of anchors subjected to multidirectional cyclic loading the results of sharewind will be integrated in design frameworks to predict the loading capacity and displacements of shared anchors with impacts in their longterm performance and in the optimization of costs of floating wind farms
fostering european lakes restoration by nutrient removal recovery and reuse integrated catchment and inlake scale approach

eutrophication is a major problem causing poor ecological status of european lakes with its severe impacts being enhanced by climate change however at the same time eutrophication could be the potential solution to the depletion of global phosphate p reserves threatening global food security a vast amount of p and other nutrients are lost from the catchment and transported into lakes making most lakes a nutrientrich reserve as observed by the frequent occurrence of massive devastating algal blooms in many lakes ferro bridges the nutrient enrichment problem to the depletion of p problem to create a sustainable solution to both challenges by circular management we will develop a nextgeneration lake restoration approach by combining targeted restoration techniques with nutrient recovery and recycling to achieve multibenefits improved ecological status of lakes support a circular economy climate adaptation support food production promote biodiversity and boost ecosystem services provision the multiple environmental and socioeconomic cobenefits extend beyond the scale of intervention supporting wider sustainability and accounting for social and economic ambitionsferro supports the natural recovery of lakes after many years of nutrient enrichment through four transdisciplinary pillars 1 classification and prioritization of lakes for restoration integrated insitu and remote sensingbased techniques 2 implementation of sustainable catchmentoriented solutions biotechnology to prevent nutrient losses in agriculture and nutrient recovery at lake inflows and reuse in agriculture 3 implementation of sustainable inlake restoration solutions nutrient recovery from lakes and reuse in agriculture and 4 knowledge transfer ferro marks a major shift in how lake restoration will be done for ages
international doctoral training in mathematical sciences in france

mathematical sciences play a key role in todays economy but also in shaping the solutions to the many societal and scientific questions we will face in the world of tomorrow france has a long tradition of excellence in mathematical research and education covering a wide variety of topics throughout the french territory with incredible successes a significant proportion of french mathematicians are located in the greater paris region which also attracts most international students despite the excellence of mathematical institutes everywhere in the country the programme mathphdinfrance carried by fsmp fondation sciences mathmatiques de paris covering most laboratories in downtown paris and partners from greater paris and everywhere in france will propose an innovative concept of doctoral training where each student is cosupervised between the greater paris region and another region in france the 60month project is split over 2 calls offering a total of 48 phd fellowships of 3yearsmathphdinfrance will strengthen the international visibility of french mathematical research while proposing an enriched collaborative experience to the students stimulated by the double environment of cosupervision it will attract the most promising doctoral students and train them to become a new generation of international mathematicians creating a network of young innovating doctors it will lead the laureates to successful careers and teach them how to communicate with society and become math ambassadorsmathphdinfrance offers exceptional working and mentoring conditions by a stateoftheart academic training but also by developing new mechanisms and providing transferable skills and publicprivate collaborations for introducing doctoral students to the widely increasing number of new emerging careers overall the project will build and shape the french mathematical community and ensure its integration into europe and the rest of the world
optimized resource integration and global architecture for mobile infrastructure for 6g

origami aims at spearheading the nextgeneration of mobile network architecture overcoming eight factual barriers to ensure a successful 6g future with three critical architectural innovations global servicebased architecture gsba zerotrust exposure layer ztl and compute continuum layer ccl origami strives to create global single standards promote green transition boost affordability and accessibility and inspire groundbreaking applications and fresh business models to assess origamis effectiveness the project will carry out eight realworld demonstrations across six experimental sites and two largescale international datasets from two major operators and validate our findings against twelve ambitious kpi targets the gsba proposed by origami will streamline communication and interoperability across network planes paving the way for truly global standards the aiaided ccl will democratize access to extremely heterogeneous computing resources and will boost resource sharing with reliability guarantees encouraging green transition sustainability and greater accessibility in turn the ztl will enable thirdparty players to securely program their virtual networks in zerotrust arenas driving innovative highvalue applications and creative business models origamis emphasis on dependable explainable and unbiased aiml will ensure a reliable system that avoids corner case errors setting the stage for a more connected efficient and sustainable telecommunications future
twinning for intensified enzymatic processes for production of prebioticcontaining functional food and bioactive cosmetics

the general objective of the project is to advance the research and innovation capacity of the faculty of technology and metallurgy ftm in the area of prebiotics technology by collaboration with leading institutions with complementary expertise able to implement substantial improvement of the research staff profile project management and administration skills the consortium includes maastricht university and radboud university medical center contributing with the expertise in analysis of human microbiota which provides determination of the activity of prospective gut and skin prebiotics and spanish national research council contributing with the expertise in protein engineering which enables improvement of catalytic properties of enzymes applied in production of prebiotics in addition to transferring knowledge within these two areas expertise specific objectives are also to strengthen management capacities of the ftm to unleash potential of young scientists and to form network of scientific community and potential industrial partners joint research is designed to result with joint scientific publication which will increase research profile and attractiveness of the ftm and provide wider scientific impact by dissemination in accordance with open science concept additionally wider economic technological and societal impact will be facilitated through establishment of the center of scientific excellence for prebiotics and two innovative prebiotic technologies developed to technology readiness level 6 still motives behind formation of the consortium goes beyond goals of this project because longterm sustainable cooperation between four institutions is envisioned all members of the consortium foresee increased demand for innovative prebiotic technologies for which the consortium with such a high level of interdisciplinarity is needed
comparative haplotypomics of parthenogenetic plectus nematodes

sexual reproduction is a costly but seemingly necessary trait in animals however species in diverse branches of the animal kingdom have secondarily reverted to asexual reproduction in the roundworms phylum nematoda this reversal appears particularly frequent as parthenogenetic species have emerged in numerous genera species in the genus plectus are obligately parthenogenetic and are distributed in nonextreme and extreme environments across the globe mechanisms leading to the loss of sex for example hybridisation have received some attention but are still poorly understood in particular on the genomic level this is in part due to the lack of sequencing and analysis tools for complex genomes of minute organismschoppe will generate chromosomelevel collapsed and phased genome assemblies using latest assembly strategies for several species of plectus and its closest sexual relative anaplectus from diverse habitats choppe will develop new computational methods for generating fully phased assemblies of diverse nonmodel species collapsed assemblies and haplotype assemblies of several plectus and anaplectus species generated in the project will allow to decipher the genomic basis of their adaption in the context of parthenogenesis and extreme environments the project will further investigate the reversal to sexuality of plectus through crossing with heat induced males and establish this genus as a new model for the study of parthenogenesis
emission controll system for wastewater treatment

wastewater treatment plants are major contributors of greenhouse gasses emission and responsible for 12 of emissions worldwide vario emission control is the first system that enables online monitoring of greenhouse gases nitrous oxide and methane and chemical pollutants in wastewater treatments plants the vario solution measures relevant substances automatically and adjusts the wastewater plants aeration system via ai models the technology combines sensorics mass spectrometry and data driven models ai for adjusting wastewater treatment process parameters it does this in multiple aeration basins with one analyzer via its multiplexing capabilities to save costs for operators by using vario the benefits for wastewater treatment plants are 20 costs saving for energy and chemical consumption as well as a tremendous reduction of emissions by up to 50 for society these savings are equivalent to millions of vehicles off the street or a 25 reduction in airline travel
visualizacin de biopotenciales para equipos cardiolgicos

vrcardio is a unique medical tool for visualization and diagnosis of arrhythmia the arrhythmia is an alteration of the heart rhythm it occurs when the electrical impulses that coordinate the beats do not work properly vrcardio allows a reliable and validated estimation of electrocardiogram cardiac and transmembrane action potentials that allow detecting with absolute precision the origin and mechanism of heart disease instead of using only electrocardiograms captured by catheters as they do with current cardiac navigation systems cns vr cardio enables a revolutionary bioelectrical navigation of the cardiac system in a precise and safe way in the entire volume of the cardiac cavity allowing the cardiac ablation process to be infinitely faster because the electrophysiologist is constantly watching the development of the impulse electric throughout the heart due to its 360 visualization in augmented reality ar and or virtual reality vr
graph signal processing models for neurovascular decoupling

blood oxygenation level dependent bold signal is a widespread functional magnetic resonance imaging fmri technique to noninvasively study brain activity and it relies on the mechanism of neurovascular coupling nc ie changes in cerebral blood flow driven by neuronal activity however there are various confounding factors for nc such as homoeostatic physiological changes or nc uncoupling driven by certain pathologies currently there is no method to disentangle the information associated with neuronal activity from the vascular response this is an important issue in both physiological imaging and brain activity investigation as the two signal sources act as competing confounding factors furthermore although vessels are the main blood distribution system they are mostly ignored when taking into account bold analysesin this project i will first create a graph model of cerebral vessels to assess cerebrovascular connectivity i will then use graph signal processing a novel signal processing technique based on graphs to embed bold signal fluctuations into the vascular and the more traditional tractographybased graphs to disentangle the propagation of neuronal activity and blood flow in these two pathways this technique will allow disentangling the components of nc noninvasively offering new insight on brain activity and neurovascular coupling and allowing further studies on pathological nc uncoupling such as presurgical imaging for tumouri will apply this model at the macro wholebrain and meso greymatter layers scale connecting the properties of nc in functional imaging between them the application will be validated in high 3 tesla and ultrahigh 7 tesla mri fields to address its feasibility for both research and clinical application finally bold will be compared with nonbold functional techniques such as arterial spin labelling and vascular space occupancy to shed light into the imaging of nc and brain activity
eu decarbonisation in times of crises exploring social innovations and enhancing an equitable twin transition

decrises addresses the complex challenges of the european union eus twin transition that is reshaping society the economy and infrastructure at every level of governance through four case studies from the eu and european economic area our primary goal is to pinpoint the gaps in the existing multilevel governance mlg framework guiding the twin transition and propose solutions that pave the way for an equitable transition while the eu committed to achieving carbon neutrality by 2050 recent global crises such as the covid19 pandemic and geopolitical tensions have added complexity to the twin transition this underscores the importance of crossborder collaboration and coordinated strategies at various levels of governance decrises focuses on five objectives to conceptualise a bottomup mlg framework to foster citizen participation and stimulate social innovation and collaboration for an inclusive twin transition to develop a robust mlg implementation strategy to translate the vision of a just twin transition across all levels of governance within the eu to develop an understanding of communityled social innovations as drivers of twin transition and their role in mlg processes to identify strategies to enhance regional and intraregional collaboration and resilience to facilitate and establish channels of collaboration and knowledge exchange between a diverse set of actors and explore ways to enhance policy instruments at various levels of governancetransitioning to a green future requires significant changes to institutions historically tied to fossil fuels and limited levels of digitalisation we focus on a shift from topdown decisionmaking to a more inclusive democratic approach involving various levels of governance including governments businesses and civil society our project provides comprehensive policy recommendations for improvement of mlg to strengthen democratic governance in the eu and ensure a just twin transition