Dragon09/odtu_chatbot huggingface dataset:
a novel hardware software platform to revolutionise artificial intelligence at the edge

our solution is a hardware hw and software sw platform optimized for inference at the edge which as a market is projected to grow exponentially and to reach 1552 b in 2025 our solution will accelerate the latest generation of neural network models for computer vision natural language processing and generative ai to revolutionize the way we use ai at a fraction of the costs and power consumption of available solutions the hw will be available in various form factors for rapid adoption and is highly scalablefrom a single device running in an embedded system to multiple instances on cards in an edge datacenter our sw tools provide a consistent powerful and easytouse development environment for all of these instances while driving the adoption of ai through our nocode web composer we have a strong team led by the ceo who was the head of artificial intelligence at bitfury and has 20 years of managerial experience in tech corporations such as asus and advantech
singlemolecule visualization of transcription dynamics to understand regulatory mechanisms of cofactors

transcription is a multistep process involving many regulatory factors including cofactors such as mediator chromatin remodelers and chromatin modifiers cofactors are thought to enhance transcription efficiency but a detailed mechanistic understanding of cofactor action is still lacking inside single cells the transcriptional process is highly dynamic with regulatory factors transiently associating to dna and transcription occurring in stochastic bursts of high transcriptional activity interspersed by periods of inactivity how cofactors regulate these dynamics is so far largely unexplored in this proposal we aim to elucidate the molecular mechanisms of cofactor action by combining perturbation experiments with cuttingedge singlemolecule imaging techniques to measure the dna binding dynamics of regulatory factors input as well as the stochastic behavior of transcription output in living yeast cells first bursting properties will be quantified at endogenous genes upon single and double cofactor perturbations to identify ratelimiting steps that are regulated by cofactors and to determine cooperativity between cofactors second the dna binding dynamics of cofactors transcription factors and the preinitiation complex will be determined in wildtype and upon perturbations of cooperating cofactors allowing us to construct a kinetic model of transcription third building on our recently developed imaging technique we will develop a new technology to simultaneously visualize the dna binding of single cofactor molecules and transcriptional output at a single target locus to dissect the functional effect of cofactor dna binding events on transcription activation overall our results will provide unique insight into the composition of and transitions between transcription regulatory steps uncovering mechanisms how cofactors increase transcription efficiency
an aibased holistic dynamic framework for a safe drones operations in restricted and urban areas

with an increasing number and diversity of potential drone operations managing the airspace to accommodate these drones will become an increasingly sophisticated task especially in densely populated urban areas encompassing restricted zones with dynamic environmental and operational influences due to the associated higher probability of conflicts and ultimately collisions such areas require management of dedicated structured airspace operations and services to help mitigate these potential hazards several projects are currently working on defining conops for uspace services corus and corusxuam have defined a possible capabilities model such as airspace organization and services however a holistic framework is necessary to create an effective and efficient flow of information between the various capabilities in order to systematically organise the airspace usage such an automated air traffic management system will be essential for the introduction drone operations at scale ai4hydrop evaluates the various stakeholder needs delivering validated concepts defining a methodology for an airspace structure organisation and associated uspace services the framework considers the information from other services such as meteorological and separation provision which can then be used for flight planning approval process prioritization in addition essential elements such as surveillance and contingency planning can be addressed the framework incorporates various ai based tools and associated information flows necessary to addresses the complexity safety and scalability required for implementing such uspace services the proposed framework represents a digital step change in atm using ai as a means to overcome many critical barriers foreseen in the introduction of automated uspace services the findings could later be expanded to support general airspace management
role of membrane potential instabilities in irritable bowel dysease

irritable bowel syndrome ibs is one of the most prevalent gastrointestinal disorders with a prevalence of 410 worldwide characterized by recurrent abdominal pain pain is tightly related with noxious stimulus detection carried out by peripheral sensory neurons psns however how those neurons generate ongoing activity encoding constant or slow stimuli is still uncertain and the current textbook model for sensory transduction and encoding fails to explain it during the last years many authors have proposed membrane potential instabilities mpis a voltage dependent phenomenon that consists in subthreshold membrane potential fluctuations as the mechanism underlying ongoing activity and demonstrated its upregulation in pathologies coursing with neuropathic and bone cancer pain both in animal models and patients nevertheless the role of mpis in visceral pain remains completely unexplored in this project we aim to characterize the role of mpis and excitability changes in the development of ibs pain as well as its underlying mechanisms furthermore we will develop a new model to study the subcellular distribution of mpis and action potential encoding in this pathology using voltage optical recordings finally to assure the translatability of our results we will study sensory neurons from ibs patients and the possibility to treat them through mpis pharmacological disruption opening new treatment approaches in the longterm riibs action will lead to increased insight in sensory information encoding the pathophysiology of ibs and ultimately to improved clinical management of visceral pain this is the adequate moment to carry this action as the host institution counts with topnotch facilities to make it feasible the host supervisors have recently generated a novel animal model reproducing ibs and have access to clinical patients and voltage optical recordings have been living an exponential refinement in the last years
a highly efficient crisprcas9 gene editing method for difficult to transform arthropods

during the erc consolidator grant polyadapt an efficient gene editing system was discovered which allows to genetically transform the spider mite tetranychus urticae a main crop pest this species belongs to the chelicerates the second largest group of arthropods including mites ticks and spiders that are notoriously difficult to transform our invention not only accomplished for the first time gene knockout in mites but also allows precise gene editing via knockin with high efficiency the method results in a 20fold increase of transformation efficiency in the poc crispart we will demonstrate the efficacy of the invention on a wide range of difficult to transform arthropods and aim to better understand the mode of action of the observed synergy we will further investigate the optimal validation trajectory of the invention considering a gene editing service and investigate commercial and financial feasibility of the optimal path
customizable aibased inline process monitoring platform for achieving zerodefect manufacturing in the pv industry

third generation photovoltaic pv technologies offer high performance and customizability for ubiquitous integration bipv vipv agrivoltaics iot and are well suited to industry 40 manufacturing however their highcomplexity and finelytuned production processes make them prone to the appearance of critical defects with just small deviations from standard process conditions leading to significant production waste in this context platformzero provides a new paradigm for the third generation pv industry through the development of a selflearning modular and customizable inline process monitoring platform that provides insitu holistic production assessment and control employing nondestructive inspection methods and industry 40 artificial intelligence aibased tools to allow an early detection correction andor prevention of precritical production faults in order to achieve this ambitious objective the platformzero consortium joins together partners with a strong background in advanced characterization of complex materials and process monitoring methodologies and partners who are leaders at the european level in the developmentproduction of third generation pv devices and related products providing a balanced contribution of academy and industry with a high degree of multidisciplinarity platformzero will demonstrate its innovative holistic process monitoring technology through the development installation and validation at trl7 of 4 functional demonstrators in different pv and pvrelated manufacturing lines rolltoroll cigs solar foil sheettosheet high efficiency cigs and perovskite and line flow smart coatings pv and pvrelated manufacturing lines the platformzero technology will contribute in increasing the overall quality and reduce the cost of hightech pv devices increasing the competitiveness of eus pv industry and allowing pv to become a key energy source for europes transition towards climateneutral energy generation
a novel and empowered targeted gene addition approach at a relevant microglia locus for the treatment of inherited neurometabolic diseases

hematopoietic stem cell hsc gene therapy based on selfinactivating integrating vectors has proven unprecedented therapeutic potential in inherited neurometabolic diseases nmds however phenotypic effects are delayed after treatment likely due to the slow replacement of resident microglia by transplantderived cells that hampers the broad application of this approach moreover unregulated gene expression driven by the inuse promoters could in the long term cause unwanted effects finally recent events suggest that the treated patients might be at risk of developing side effects related to vector integration therefore novel strategies anticipating therapeutic benefit and reducing these potential safety concerns are desirable to address the still unmet medical need of nmd patientsour longterm goal is to develop a novel broadly effective and safe treatment platform for nmds based on a newly empowered hsc targeted gene addition approach at a newly identified microglia locus our central hypothesis is that correcting the gene defect by targeted addition at this locus in hscs of patients affected by nmds could generate in a timely manner a microglialike progeny endowed with unprecedented therapeutic potential indeed based on our recent findings gene editing and targeted integration at this locus are expected to uniquely favor the timely engraftment and efficient rapid myeloidmicroglia differentiation of transplanted edited hscs in the recipients brain and to induce robust and regulated expression of the integrated transcript in transplantderived microglialike cells based on this hypothesis we aim at developing a targeted gene addition approach at the newly selected microglia locus for correcting the underlying genetic defect in hscs and obtaining proof of concept of its therapeutic potential in nmds animal models thus the proposed work could generate the basis for a novel treatment platform for these devastating conditions
metabolic adaptation in injuries of the peripheral nervous system

the peripheral nervous system constitutes a prime example of a tissue with a strong regenerative potential full recovery upon nerve trauma however is rare and usually fails in peripheral neuropathies common yet largely untreatable neurological disorders nerve repair strictly depends on the orchestration of both nerve de and regeneration by peripheral nerve glial cells which need to overcome a substantial metabolic challenge in injury nervadapt is based on the fundamental premise that schwann cells in the course of evolution developed an exceptional metabolic adaptability to ensure repair capitalizing on acute nerve injury as a prototypic model system to explore conserved repair mechanisms we aim to unveil glial metabolic adaptation to increased energetic demands and distinct substrate availabilities a central goal of nervadapt is to elucidate how glial homeostasis is integrated in a finetuned cellular network that extends to interactions with neighbouring tissue compartments employing elaborated genetic mouse models 3d electron microscopy and leadingedge spatial and single cell to organ level profiling approaches nervadapt will pioneer to generate a comprehensive multilevel framework of the nerve injury response chronic metabolic stressors such as in diabetes and obesity in turn may lead to a constant glial overstimulation and compromise glial metabolic homeostasis metabolically induced neuropathies indeed underscore the specific vulnerability of the peripheral nervous system to a systemic metabolic burden within nervadapt we follow the hypothesis that a persistently perturbed metabolic homeostasis causes molecular and cellular glial metabolic inflexibility ultimately driving metabolic neuropathy together nervadapt seeks to identify key checkpoints of glial metabolic maladaptation under energy demand and metabolic load revealing a new dimension of metabolic adjustment at the nerve organ level
information economics with fundamental uncertainty robustness commitment and strategic incentives

many pivotal decisions hinge on navigating fundamental uncertainty where a comprehensive description of the relevant contingencies and exact odds remains elusive this project explores how such uncertainty influences learning innovation and strategic information sharing while previous research has made significant strides in exploring information incentives it predominantly revolves around scenarios with welldefined risks neglecting the intricate realworld challenges of rapidly evolving complex environments my approach leverages decisiontheoretic advances to construct novel theoretical frameworks of active learning and strategic disclosure shedding light on the implications of fundamental uncertainty on the decisionmakers desire for robustness demand for commitment and strategic incentivesthe project entails the study of active experimentation modeled as a canonical multiarm bandit problem in situations where the experimenters knowledge about the underlying distribution of payoffs is limited i propose a new theoretical approach centered on regret minimization and continual reoptimization this work will generate new insights into the experimenters dynamic tradeoff between exploitation and exploration in the face of shifting worstcase scenarios as well as the feasibility of exante optimal experimentation rulesshifting the focus to strategic interactions i will investigate how uncertainty over the underlying process of information endowments impacts informationsharing incentives my work will center on a canonical senderreceiver structure with verifiable information i will examine the role of the receivers sophistication in the predictions of such models in particular the inevitability of information unraveling this will challenge some widely accepted insights of this literature
quantisation of moduli spaces hitchin connections and isomonodromic deformations

our goal is to construct generalisations of the hitchin and wesszuminowitten wzw and knizhnikzamolodchikov kz connections both in geometric and deformation quantisation and of their associated monodromy representationsthe hitchin connection achieved the quantisation of compact chernsimons theory and resulted in the construction of a topological quantum field theory a different projectively flat connection provides a viable mathematical definition of correlation functions in the wzw model for conformal field theory the resulting projectively flat vector bundles are isomorphic and their monodromies have farreaching applications in lowdimensional topologygeometry quantum invariants of knots3manifolds and representation theory of mapping classquantumbraid groupsour guiding viewpoint is that the connections of hitchinwzw can be derived from the quantisation of moduli spaces of connections on riemann surfaces we will extend this further focusing on meromorphic connections with highorder poles ie wild singularities generalising the above bundles and their applicationsthe motivation for this project is twofold first there is now a complete understanding of the poissonsymplectic nature of isomonodromic deformations of wild singularitites which are naturally amenable to quantisation the quantum theory is much less developed than the classical one and this naturally motivates us to close the gap using the latter as a guidesecond recent work related the genuszero wzw connectionthat is the kz connectionto a new version of the hitchin connection and this was then used for the quantisation of moduli spaces of parabolic bundles we want to pursue extensions of this identification in particular we will use the new flat connections constructed on the deformation quantisation side as candidates for wild hitchin connections in the geometric quantisation of wild character varieties a complete novelty
dissecting dust in the distant universe a panchromatic study with jwst and alma

at the core of galaxy evolution is the evolution of the baryonic components that modify the observable properties of galaxies a crucial component of the baryonic matter is the interstellar medium ism that consists of gas and solidphase metals called dust interstellar dust determines how galaxies look like from uv to ir how the ism behaves and the very process of star formation that creates the stellar component that defines a galaxy despite our wealth of knowledge about dust in local galaxies very little is known about the properties of dust grains where it resides inside galaxies and how it is formed beyond the nearby universe ie at high redshifts the fundamental importance of advancing our knowledge about dust at high redshifts is further underlined by the vital need to correct for its attenuation effects in the observed restframe uvoptical emission of highredshift galaxies this situation will fundamentally change in the next few years owing to the unprecedented capabilities of the james webb space telescope jwst this erc program capitalizes on the massive technological advance of jwst to take a holistic approach physically and observationally and conduct a panchromatic study of dust emission and absorption properties at two key cosmic epochs1 z13 dubbed as cosmic noon the peak epoch of cosmic star formation activity and 2 z510 the early universe and the epoch of reionization owing to my leading role in multiple deep extragalactic jwst surveys my erc group will take full advantage of the very first data from this revolutionary observatory this will be done in synergy with alma and other powerful groundbased observatories such as vlt and keck to observe the attenuation and emission properties of dust from restframe uv to submm wavelengths at cosmic noon and beyond this ambitious research program will bring novel key insight into the physical processes that enable star formation and galaxy evolution throughout cosmic time
presidency event belgium ri policies for better health wellbeing and prosperity policy for research and innovation for better health

europe is confronted with a multitude of health challenges for which strong research and innovation efforts may bring solutions the strategies and policies governing ri however need to be harmonized across different levels eu national regional and transcend geographical boundaries to defragment european research effortsthe need for european crossborder alignment of ri efforts became particularly obvious during the covid pandemic although there is an immense potential throughout europe to become the preferred global hub to conduct clinical studies and trials europe largely failed to secure this potential besides the imminent urgency to provide a response in case of a pandemic aligning ri strategies and policies isalso crucial to develop healthcare of the future which will be personalised and preventive building on the convergence of cuttingedge technologies such as bio nano digital technologies and engineering and integration of several types of data including genomic data health data and realworld data the transformative potential of such convergence however is frequently hindered by the challenge of translating scientific knowledge into practical innovations and effectively incorporating these innovations into healthcare systems as well as the lack of standardisation and harmonisation the european partnerships and access to highend research infrastructures play a pivotal role in addressing the fragmentation of european ri efforts and realising the ultimate goals and ambitions of establishing europe as a lead region in the world providing ribased answers to complex health challenges
ultimate fracture toughness through thickness engineering

the design of critical structural metallic components in the aeronautic biomedical nuclear or pipeline fields is often dictated by a failsafe criterion established in the context of fracture mechanics the design must prevent any preexisting crack to propagate under nominal but also sometimes accidental loads in this context the primary material property is the fracture toughness quantifying the resistance to crack initiation in ductile metals the fracture toughness depends on plate thickness with a peak value attained at an intermediate thickness in the range of a fraction of a millimetre up to ten millimetres or more although this thickness dependence is known since the 60s the literature is very silent regarding the peak fracture toughness value about what sets its magnitude and about the corresponding optimum thickness hence there is no definitive rational about how to use or account for such an optimum fracture toughness in structural design the vision of hapi is that the fracture resistance of critical metallic structural components can be significantly enhanced by selecting andor controlling the plate thickness for thinwalled applications and the constituent plate thickness for thick laminates in particular metal laminates with optimum thickness of the constituents selected for their high strain hardening capacity will lead to unattained levels of cracking resistance this will require generating a range of new experimental fracture data performing complex 3d finite element simulations relying on a rich micromechanical model with new enhancements extending the materials selection approach exploring the processingassembling of novel ultratough metal laminates up to a radically new concept of laminate pressure vessel major gains are expected on the weight of structures potentially up to a factor five if fracture toughness is the dominating design factor and this without changing the chemistry or inventing new microstructures