Dragon09/odtu_chatbot huggingface dataset:
a unifying dynamical theory of distributed computation and generalisation in biological and artificial neural systems

understanding how the coordinated activity of neurons in multiple brain regions achieves robust behaviour is one of the most fundamental questions in neuroscience although recent singlecell technologies enable addressing this question by recording from large neural populations they are limited to surveying focal brain regions and superficial cortical layers without an analytical framework to jointly model isolated measurements we cannot hope to understand and quantitatively model how singleneuron dynamics give rise to distributed computations i hypothesise that global brain dynamics fall on distinct attractor states during a given stimulus or task attractors naturally give rise to invariant representations dynamical motifs independent of the sampled neurons identity inferring these invariances would allow reconstructing activity in extended regions from incomplete local recordings to reveal brainwide cognitive processes further composing invariances would provide insights into the neural correlates of generalisation with a broad impact on neuroscience and machine learning i propose a novel mathematical theory combining abstract combinatorial dynamical systems theory and modern machine learning to infer and compose invariant latent dynamics across measurements we will use this theory to unify largescale cellresolution recordings of the mouse and macaque cortex into a common model to make cellspecific predictions across several brain regions our results could fundamentally challenge our view on distributed cognitive computations by revealing momentbymoment singleneuron dynamics in spatially distributed neurons further my theory will help understand how the brain generalises knowledge across tasks by composing and repurposing invariances more broadly my theory will open new avenues for machine learning and neuroscience to interact through sharing and shaping the dynamical processes that underpin neural computations in vivo and in silico
nextgeneration drivervehicle interaction realtime multimodal takeover control system

in the midst of the automation revolution the genius project confronts a critical challenge ensuring the seamless transition from autonomous to manual control referred to as driver takeover control toc within conditionally automated vehicles cad as automation reshapes the transportation landscape prioritizing safety during toc is paramount genius introduces an innovative realtime multimodal interaction system tailored to optimize both the time and quality of toc leveraging biometric sensors to gauge driver readiness awareness and physiological status this adaptable system dynamically adjusts toc using interaction modalities while tailoring the experience to the unique characteristics of individual driversbeyond its immediate applications genius holds the potential to enhance toc in higher levels of vehicle automation through the integration of advanced machine learning techniques and comprehensive experiments within a sophisticated driving simulator genius seeks to redefine toc prediction in a wide range of realworld driving scenarios embracing an interdisciplinary approach the project collaborates with experts in psychology and the automotive industry ensuring a comprehensive and effective solution genius represents a significant leap forward in driver safety and experience in the age of automation contributing to a safer and more efficient future on our roads
hydrogen fuel cell electric nonroad mobile machinery for mining and construction an innovative efficient scalable silent and modular powertrain concept

in h2mac two machines namely an excavator and a shredder for the construction and mining sector will be newly designed to integrate a fc powertrain and the related subsystems the machines selected for the project will demonstrate a modular solution scalable as the excavator will be powered by a fc consisting of one module of 120 kw and the shredder will upscale the concept using two modules to enlarge the power to 240 kw the operation of the machines is also complementary as the excavator has a load profile derived of its movement during operation while the shredder is a more static machine when operating at the proposal stage a preliminary assessment of the duty cycles have been performed to select the perfect showcase for the project activities as well as carefully assess the size of the systems which will be developed during the project this actions already done will pave the way to a successful project and minimise the project risks related to the planning of project resourcesthat together with the simultaneous demonstration of the machines during 1000 hours in a single real environment will allow the partners to develop solutions capable of operation in different sectors and operative patterns and help broadening the project impacts and commercial exploitation the consortium is composed of different technological partners component manufacturers machinery manufacturers and associations that will help communication dissemination and exploitation through standardisation
cyberkinetic attacks using artificial intelligence

the interconnection between information technologies and operational technologies is underway with many impacts on the related cybersecurity of various application domains for a long time we have known that attacks or malfunctions in the cyber world can have critical impacts on the physical world especially in critical infrastructures conversely intentional perturbations of physical systems through eg attacks on sensor measurements can have disastrous consequences on digital control mechanisms and thus on physical processes in this interconnected cyberphysical world the advent of artificial intelligence ai opens the door to various new kinds of attacks and also offers numerous defence capabilities in the kinaitics project we aim at exploring the new attack opportunities offered by the introduction of aibased control and perceptive systems as well as those offered by combination of behavioural understanding of physical systems and cyberattacks on the defence side we aim at offering an innovative spectrum of tools and methodologies to combine behavioural monitoring and classical cybersecurity tools to protects against these new threats importantly we also target innovative methodologies which incorporate human factors and their uncertainties in the tools this last point raises crucial challenges on trustworthy approaches explanations provided and how to deal with uncertainties in response decisions the project will also thoroughly assess the regulation of big data uses and provide guidelines for eu policy actions and cybersecurity experts responsible development thanks to the implication of researchers specialised in legal and ethical aspects of ict innovation our research will strive to counter ai attacks the seven tools produced during the course of the project as well as the cyberdefence platform will significantly improve systems robustness resilience and response and will help europe save 34 billion yearly by 2030
unlocking operational excellence in water desalination plants by nanoscale fouling sensor technology

global water stress currently impacts 40 of the worlds population and is even worsening due to climate change to counteract the devastating consequences membrane desalination is exponentially booming with over 22000 plants already operational in 2022 although membrane desalination has lower energy requirements as compared to thermal processes membrane fouling significantly jeopardizes the efficiency of these plants worldwide it results in higher energy consumption and requires frequent at times aggressive cleaning cycles the latter in turn increase process downtimes and expenditure on cleaning agents while drastically reducing membrane lifetime the consequence is significant economic losses for operators a detrimental environmental impact and an increased final price of the drinking water produced currently there exist only corrective measures which are entirely insufficient as they are based on indirect measurements in stark contrast our sensor system excalibur patent granted in the eu is the first and only system detecting fouling and cleaning at nano levels directly on a membrane in realtime and noninvasively this enables a truly predictive process monitoring excalibur surpasses existing sensitivity limits by three orders of magnitude and its proprietary aibased software provides unique and hitherto unattainable operational flexibility with a strong impact on running costs membrane lifespan is prolonged up to 20 process downtimes are reduced up to 60 by optimizing the use of chemical agents excalibur also enhances the sustainability of membrane processes it boosts both energy savings 10 as well as economic efficiency decrease cleaning cost by 25 according to our projections and b2b business model we anticipate installing our solution in over 666 desalination plants producing an estimated 25 million m3day of water until 2030 ensuring energyefficient plant productivity and minimizing their environmental impact
computational design fabrication and engineering methods for unconstrained highly resource efficient pointsupported timber slabs in multistorey buildings

the project aims to develop novel design engineering and fabrication methods for pointsupported timber slab structures in multistorey buildings it aims to provide the fundamental technologies for a sustainable alternative building system that could broadly replace pointsupported reinforced concrete slabs especialy in urban building projects the project aims to develop a universally applicable suppliable usable and affordable alternative building system and make timber construction broadly available it is based on a building system concept in which complex arrangement of wood lamellas provide the potential for high structural performance questions of design computation structural engineering simulation methods and mechanical testing of this system will be addressed in the project provided the complexity of the material makeup and potentially long computing times surrogate modelling methods will be developed based on disciplinary modelling methods these allow fast computation of various design options an aibased intelligent decision support system will integrate all surrogate models and provide informative design feedback of the universal timber slab system throughout all design stages the building system will be applicable to multidirectional longspan slabs and enable computationally derived geometric adaptivity to typical building project boundary conditions such as site program and design intent the possibility for free and sparse column layouts allows for higher design flexibility and the design of mixeduse urban platforms with a great potential for longterm reusability the system leverages computational design and construction to build bespoke highly material efficient and digitally scaleable building structures from wood hence it provides high potential to sustainably and broadly disrupt predominant energy and carbon intensive reinforced concrete slabs in building construction
past future millet foodways

crop diversification critically mitigates agricultural risk for humanity identifying the environmental and cultural factors influencing the adoption and abandonment of staple foods through time is essential to an informed discussion about presentday food security and adaptation to a changing global climate past studies on ancient agriculture have identified the routes and timing of primary crop dispersals but we possess a remarkably narrow understanding on how and why new foods were integrated and later abandoned by societies and why certain crops remained restricted to distinct geographical regionsthe milways project is perfectly poised to fill this alarming gap in knowledge though a multifaceted investigation of a specific crop broomcorn millet panicum miliaceum which due to its unique biochemical properties is traceable across space and time making use of multidisciplinary cutting edge research methodologies milways will bridge a large geographic territory and track the earliest millet dispersals across easterncentral europe from the mid 2nd mill bce onwards all the way to past millet cultivation limit milways will utilize the high carbon isotope values of millet resulting from its c4photosynthetic pathway in conjunction with the distinct miliacin biomarker in order to identify its consumption with respect to shifting climates human mobility demographic categories of sex age and changes of plant use across historical times along with transforming the approaches on how we study past agriculture milways will a identify the interplay of cultural versus climatic factors in past staple food adoption and abandonment b develop novel methodologies to the study of past diets and climates that are highly transferable to the study of other crops c better understand millet environmental adaptation in northern latitudes d create models of past and future crop exploitation strategies
federated system of systems approach for flexible and interoperable energy communities

building on results of recently or soon to be concluded eu projects fedecom aims to enable integrated local energy systems through sector coupling and crossenergy vector integration increasing res penetration via optimal utilisation of energy dispatch storage and conversion assets fedecom pursues the idea of electricity becoming the leading energy carrier with power grids as the backbone for the decarbonisation of all energy sectors and aggregators as the cornerstone enabler of the potential exploitation fedecom adopts and maximizes the potential synergies of two complementary deployment strategies i direct electrification eg via demand electrification and ii indirect electrification with powertox technology fedecom will deliver a scalable and adaptable cloudbased platform composed of analytical modelling and optimization services for planning supervision and control of integrated local energy systems power gas heating and cooling industry electric and hydrogen mobility optimized operations of the integrated systems will be demonstrated as part of hybrid resstorage infrastructures while enabling a holistic cooperative demand response dr strategy across federation of energy communities with a concept of federated energy communities fedecom unlocks the flexibility potential enable energy exchange and provide coordinated actions across near and remote sites while maximizing the positive impact on grid transmission level fedecoms integrated package will be verified on three real largescale pilots each composed of multiple federated demo sites communities spanish virtual green h2 federation swiss residential hydropower federation and benelux crosscountry emobility federation after fedecom local energy communities and service providers will be fully trained and upskilled via dissemination and engagement activities to take full ownership of fedecom solution and its business ecosystem
control of myotube growth for the generation of synthetic muscular microactuators

millions of years of natural evolution have refined cellular tissues into exceptionally sophisticated materials not only they present the widest spectrum of mechanical properties but they also selforganize generate forces at different scales react to external stimuli and selfheal exploiting the unique features of tissues to build biohybrid actuators is thus the new paradigm in soft robotics muscular myo tissues composed of myotubes are highly contractile and have become the main choice for the design of biohybrid actuators typically millimetric hydrogel objects embedding muscle cells importantly due to a combination of factors including a lack of control on myotube growth poor integration of the myotubes with their environment or slow nutrient perfusion artificial muscular tissues have so far displayed significantly low efficiencies compared with natural muscle furthermore current biohybrid actuators hinder both the characterization of myotubes architecture and the mapping of forces at the myotube scale to overcome these limitations we propose a new approach to prepare biohybrid actuators based on the control of myotube growth at the microscale first we propose a platform to grow myotubes with controlled size and shape and to characterize their contractile behavior by using this platform i will be able to investigate the interplay between myotube architecture and force generation second we propose a set of finetuned artificial scaffolds which will guide myotube growth and selfintegration leading to active composites able to generate specific mechanical tasks finally to tame the selfcontractility of the active composites optogeneticallymodified myotubes will be incorporated allowing external actuation with light this proposal presents a novel experimental toolbox for controlling the shape of myotubes and mapping their forces at the micron scale both key for designing efficient muscular microactuators
protease profiling and triggered drug delivery for personalized cancer therapy

proteases are involved in all hallmarks of cancer and are key regulators of tumor progression the difficulties to monitor protease activity in vivo with sufficient sensitivity and selectivity make development of protease targeting cancer drugs and implementation of protease activity as a diagnostic and prognostic biomarker very challenging the aim of protect is to develop a novel comprehensive protease activity profiling platform for cancerassociated extracellular proteases that can address the main limitations of current strategies for in vivo protease activity monitoring with the ambition to enable a dramatic increase in sensitivity and multiplexing capabilities we will design liposomal activitybased sensors labs that can amplify proteolytic cleavage by triggering release of liposome encapsulated synthetic biomarkers we will further leverage the possibilities to extract tumor specific protease profiles for development of personalized proteasetriggered liposomal drug delivery vehicles proves for precision medicine sophisticated proteaseresponsive membrane active peptides promaps will be developed to couple protease activity to biomarker and drug release methods to correlate biomarker release patterns to protease activity profiles in 3d breast cancer models will be explored the protect platform can then rapidly be repurposed for precision drug delivery the proves concept will combine the excellent properties of liposomes for drug delivery and the optimal combination of promaps based on the protease activity profile retrieved from the labs for optimized proteasetriggered liposomal drug release combined the labs and proves concepts represent a unique and comprehensive platform for diagnostics and personalized cancer therapy the proposed work goes far beyond statoftheart and will address a significant and real bottleneck that hampers drug development and exploitation of proteases as diagnostics and prognostic cancer biomarkers
bridging gaps in cardiac health management

the grace integrated solution aims to transform the healthcare ecosystem by providing essential knowledge and innovative publicprivate partnership for 1 reorganizing healthcare services 2 with embedded innovative technologies and tools helping identifying and overcoming barriers and gaps that are now hindering cvd management ensuring a seamless continuum of care and optimized care pathways our vision is that introducing effective health technology and interventions is economically societally and environmentally sustainable if and only accompanied by a substantial healthcare service reorganization accordingly grace will focus on an endtoend clinical pathway cvd considering an holistic view of the patient and optimizing healthcare services leveraging on advanced technological solutions grace intervention will be multifold aiming at 1 guiding strategic policies 2 drive market innovation and 3 foster effective healthcare delivery practices in cvd generating value for patients healthcare workers and system grace will enable early and personalized interventions fostering coordination of multidiscipline healthcare teams triggering more intense and personspecific management using innovative technologies ai and digital solutions for early detection of red flags promoting patient empowerment while comprehensively containing cvd risk factors and burden a multidisciplinary consortium of experienced and competitive partners will implement this vision and implement the proposed solution in a novel multidiscipline manner
delivery of small rnas by functional hydrogel nanoparticles to improve osmotic stress tolerance in plants

rna interference is a potent technology largely employed to trigger gene silencing and control specific biological processes thedelivery of small rna is one of the most intriguing challenges in rnai technology smart nanomaterials for safe and effective rnadelivery have been successfully exploited in animals while a limited number of applications have been proposed in plants so far thepresent project aims to develop and to validate smart hydrogel for small rna sirna and mirna delivery able to knock down theexpression of selected genes and ultimately promote osmotic stress tolerance in plants to achieve these objectives naturalhydrogels such as dextran polyethylene glycol chitosan and alginate will be synthesised and functionalised with small rnas inorder to obtain nanomaterials with unique properties hydrogels will be applied to plant leaves and roots both in vitro and in vivo asproof of concept dafne will target control genes such as phytoene desaturase pds and green fluorescent protein gfp in themodel species arabidopis thaliana whose knockdown phenotypes are wellknown and easily detected subsequently functionalhydrogels will deliver stressrelated mirnas in order to develop drought tolerant plants in a thaliana and in a representative foodcrop solanum tuberosummerging distinct expertise dafne will offer the candidate researcher multidisciplinary training in the field of plant biology andgenetics as well as in molecular and cell biology which will expand her skills currently based on chemical engineering