Dragon09/odtu_chatbot huggingface dataset:
continuums of game nets swarm intelligence as information processing cognets

cognets aims to revolutionize the intelligent infrastructure management by introducing a scalable and interoperable distributed middleware framework for autonomous iottocloud computing sustainable during and after the project via fiware foundation technical manager and supported by a strong industrial academic eujapan ecosystem led by avl leader of catenax initiative between eujapan in data sovereignty for the automotive manufacturing supplychainthe idea is to leverage the it intelligence to the point where devices can selfrealize their heterogeneity and selfdecide how to form dynamic iottocloud swarm continuums for responding to common ai tasks and significant items of cognitive computing in automated secure and energy efficient fashionat is core our middleware will integrate new decentralized federated multicontext broker architecture enriched with gameintelligent agents collaborative federated learning and endtoend security mechanisms including riscv hardware security ai acceleration to effectualize dynamic data and resource management across devices at different domains thereby using opensource programing models and apis to produce new orchestration optimization etc routines with no vendor lockingcognets will also achieve energyco2 neutrality and bydesign security awareness by leveraging all its middleware processes over unified computingenergysecurity optimization thereby introducing a new logic to systemically improve computing in joint and equal terms to energy and security performances that are necessary for sustaining new services and business modelsvalidations will be taken over 3x vertical and 1x crossvertical demos to support emerging manufacturing mobility and health sectors and to examine how cognets can safeguard for economic business and societal resilience and how it can expand europes digital sovereignty strategic autonomy and industrial supremacy in the next wave of technology evolution
targeting a sciencebased approach to red coral restoration in a climate change scenario

restore deals with the need to restore corallium rubrum the mediterranean red coral a species of great ecological and commercial value that is of priority for conservation under european legislations because in sharp decline due to overharvesting and climate change effects restore will pave the path to innovative naturebased restoration approaches harnessing ecological processes thereby underpinning red coral recruitment success to foster its longterm and largescale recovery and support its resilience to climate changes overcoming the limitations of the existing restoration methods eg coral transplantation restore will provide advanced knowledge on positive species interactions ie between coral larvae coralline algae and their associated microbiome which are recognized as potential enable factors to enhance coral larvae recruitment biofilms of selected isolated bacteria strains will then be produced and tested to be used in coral restoration techniques in both control and natural conditions the effects of global warming on these positive species interactions and as a consequence on coral recruitment success will be experimentally assessed to provide threshold values to be integrated in mathematical modelling approaches that will be applied to predict climate refugee areas for red coral recruits and to spatially guide future restoration projects in the view of diverse climate change scenarios a marked multidisciplinarity ie infield and experimental ecology dnabased techniques and bioinformatics mathematical modelling will boost restore effectiveness through the application of cuttingedge techniques restore will deliver relevant outcomes to support restoration actions under the eu biodiversity strategy and the green deal and will provide an innovative approach potentially transferable and applicable to all mediterranean corals thus answering to the call for actions to support the urgent need of restoring the marine ecosystems
arilfused heptamethine cyanine dyes synthesis photophysics and photochemistry

an unparalleled advantage of light as a control stimulus such as tunability high spatial and temporal precision and orthogonality towards biochemical systems is relatively well established however the application of light for phototherapy in living organisms is limited by the intrinsic properties of biological tissues allowing for significant penetration depth only in the 650 900 nm range this restriction calls for a careful design of the chromophore intended for phototherapy heptamethine cyanine dyes are wellsuited to meet the wavelength requirements essential for modern bioimaging techniques and chemistry the biocompatibility photochemical and photophysical parameters of these dyes can be adjusted by varying substituents at different positions along the heptamethine chain the coeuscy7 project aims to synthesize cyanine dyes with aryl groups fused in the various positions of the heptamethine chain and novel types of chain substitution a notable feature of these novel dyes is the z configuration of the cc bond imposed by the aromatic ring the objective is to investigate these cyanine dyes in terms of their photophysical and photochemical properties focusing on absorption characteristics chemical stability and photostability novel cyanine dyes are expected to exhibit bathochromic shifts in their absorption and emission spectra and to modulate other photophysical properties such as quantum yields of accompanied chemical processes intersystem crossing efficiency and affinity for or production of singlet oxygen these novel cyanine dyes would be a valuable addition to the current repertoire expanding the scope of their photophysical photochemical and biological applications moreover the coeuscy7 project will contribute to an advanced mechanistic understanding of the zincke reaction used for their synthesis and will provide deeper insights into their structure and photophysicalphotochemical properties
water resources system safe operating space in a changing climate and society

water scarcity water quality degradation and the loss of freshwater biodiversity are critical environmental challenges worldwide which have primarily been driven by a significant increase in water withdrawals during the last century in the coming decades climate and societal changes are projected to further exacerbate these challenges in many regions around the world as such defining a safe operating space sos for water resources in a changing climate and society is urgently needed to ensure a sufficient and reliable supply of water of a quality acceptable for human activity and natural ecosystems however defining the sos for the entire water resources system at spatial scales relevant to decisionmaking and its projections into the future requires going beyond stateoftheart water system modelling toward a holistic and participatory assessment framework that includes data gathering integrated modelling and working with relevant stakeholders soswater aims to create the foundation for this framework it will cocreate future scenarios and management pathways with stakeholders in five case studies in europe and abroad it will advance water system models and link them with impact models of ecosystem services and biodiversity to create a novel integrated water modelling system this integrated water modelling system will be benchmarked against a wide range of stateoftheart earth observations and will be used to calculate selected indicators covering all dimensions of water resources systems to ultimately design a multidimensional sos of policies and water management pathways evaluated across a broad set of scenarios the results of soswater will help improving the understanding of water resources availability and streamline water planning and management at local to regional levels and beyond such that the allocation of water among societies economies and ecosystems will be economically efficient socially fair and resilient to shocks
artificial intelligence for synthetic functional genomics of blood

our abilities to predict and engineer complex biological systems are in their infancy in the context of gene regulation we cannot design artificial promoters with specificity to arbitrary cell states and we cannot arbitrarily trans and dedifferentiate somatic cells although such abilities would be of high biotechnological and biomedical value to achieve these ambitious goals we require quantitative predictive models of gene regulatory elements gres and gene regulatory networks grns respectively here i propose that the combination of deep learning and singlecell genetic screens is ideally suited to obtain such models and in particular the amounts of highly informative data required for their training working with an ex vivo model of hematopoietic stem cell differentiation we will first screen the activity of hundreds of thousands of synthetic gres throughout the hematopoietic differentiation landscape thereby we will obtain models of cell type specific gre activity that can predict new synthetic gres with activity in any cell state of interest second we will screen hundreds of thousands of combinatorial grn perturbations and their effect on cell state thereby we will derive models of grns that can predict combinatorial perturbation strategies to achieve arbitrary de or transdifferentiation events in sum work on this project will yield a quantitative model of gene regulation in hematopoiesis at various scales of complexity while introducing a novel aiguided concept for biological engineering
optimising forest operations for sustainable forest management and highvalue applications

forestry is a potential pathway to strengthening european competitiveness reducing dependence on nonrenewable unsustainable resources enhancing the circular bioeconomy and understanding the bioeconomys ecological boundaries europes forests and their value chains however face diverse challenges including increasing global wood demand biodiversity loss and increasing biotic and abiotic threats to forest health and economic revenue caused by climate change optiforvalues ultimate goal is to foster transition to more sustainable and resilient forestbased value chains by using a unique interconnected modelling framework involving strong participative engagement and novel scientific approaches including early warning indicators of biotic and abiotic risks adaptive forest management strategies remote sensing and artificial intelligence for agile forest operations and integrated valuechain optimisation and life cycle assessments the expected outcomes include increased value addition competitiveness sustainability and resilience of european forestbased value chains particularly in regions already or forecast to be impacted by climate change over the coming decades optiforvalue will accelerate this transition by enhancing the sustainability resilience and profitability of regional value chains in central european mediterranean and boreal via case studies in austria spain sweden finland significant longterm impacts are expected to be achieved including a 10 reduction in wood damage with a subsequent increase in wood harvesting 240 m annually 3 value addition from better quality control 350 m annually 5 increase in the forestry workforce in areas affected by climate change and 510 reduction in fossil fuel consumption and greenhouse gas emissions the consortiums research institutes universities and companies are well equipped to advance the state of the art validate solutions through case studies and upscale results
repurposing a human drug to treat alzheimers disease

alzheimers disease is a major cause of disability among older adults and represents substantial financial and human costs to patients families and societies worldwide currently there is no cure for alzheimers disease thus novel effective treatments need to be developed that target the root causes of alzheimers disease in particular the pathogenic accumulation of the protein tau during our erc project we achieved a breakthrough by demonstrating that an approved human drug efficiently inhibits pathogenic tau accumulation in several preclinical assays the identified fdaemaapproved small molecule is orally bioavailable safe in humans and reaches the brain at high concentrations it is the aim of this proof of concept project to provide further preclinical validation of the drug and to pursue the needed steps towards ipr protection and commercialization because no diseasemodifying therapy currently exists for ad bringing the novel repurposed drug closer to the market promises an outstanding high gain
memristive selforganizing dendrite networks for braininspired computing

artificial intelligence needs a hardware revolution to sustain the evergrowing demand of computing power in our society where the huge energy consumption and environmental impact of computation with current technologies is unsustainable in the race toward future computing bioinspired technologies have been shown as promising hardware solutions for computing beyond the turing model and the classical von neumann architectures going beyond transistorcentred hardware solutions the research community is exploring new device concepts and architectures that leverage physical phenomena for computing in materia with physical laws to emulate the effectiveness of information processing capabilities of our brain while arrays of memristive devices realised with a topdown approach represent emerging solutions for the hardware realisation of artificial neural networks these systems do not emulate the topology and emergent behaviour of biological neuronal circuits where the principle of selfassembly and selforganisation regulates both structure and functions providing adaptability efficiency and robustness tackling main challenges of neuromorphic computing the membrain project aim to develop a radically new concept of physically grounded computing nanoarchitecture based on selforganising memristive nanonetworks of dendrites able to efficiently process information and to store knowledge on the same physical substrate at the matter level through physical laws overcoming the concept of nanotechnology as a simple advancement of microtechnology the ambition is to compute like nature thermodynamically to push computation near fundamental limits of efficiency by establishing a hardwaresoftware codesign framework at the crossroads of material science machine learning and neuroscience the aim is to retarget the original goal of neuromorphic computing of creating generalpurpose truly intelligent systems that endow dynamic learning and multitasking capability
collecting plasmonic nearinfrared photons through a schottky junction

harvesting infrared light specifically wavelengths above 1000 nm is of paramount importance for enhancing photovoltaic and photoelectric efficiencies as well as for applications in imaging and communication in recent years significant strides have been made in the realm of infrared optoelectronics leveraging colloidal quantum dots 0d materials as a costeffective alternative to conventional semiconductor technologies like ingaas insb hgcdte and others nevertheless prevailing infrared technologies often rely on toxic compounds such as lead cadmium and mercury chalcogenide giving rise to significant environmental concerns recently heavy metalfree doped metal oxide nanocrystals ncs exemplified by sndoped in2o3 ito have garnered recognition in the fields of nanoelectronics and energy storage owing to their alluring optical and electronic properties the integration of plasmonic nanomaterials into semiconductor matrices holds great promise in diverse areas including solar energy harvesting photocatalysis and photodetection however their application in the infrared spectrum alongside semiconductors remains relatively underexplored to address this gap we introduce the infralight project which introduces a pioneering approach the establishment of a dedicated schottky junction between semiconducting fluorographene and heavy metalfree doped metal oxide nanocrystals eg snin2o3 to efficiently capture infrared light this junction will facilitate efficient charge transfer when exposed to infrared excitation our subsequent objective is to demonstrate a proofofconcept photodetector device operating at a selfbias voltage 0 v this device will exhibit an enhanced nearinfrared nir photoresponse achieved through the photoinduced extraction of plasmon hot electrons from ir hotspot plasmons within the framework of infralight we will delve into device development and investigate the interaction of ir plasmons with 2d semiconductors
aqua research infrastructure services for the health and protection of our unique oceans seas and freshwater ecosystems

aquarius will provide a highly comprehensive suite of integrated research infrastructures appropriate to addressing significant challenges for the longterm sustainability of our unique oceans seas and freshwater ecosystems for the first time diverse research infrastructures will be combined to facilitate the work of researchers and key stakeholders focused on challenges and opportunities for both marine and freshwater systems an impressive range of 57 research infrastructure services will be made available to include research vessels mobile marine observation platforms aircraft drones satellite sensors fixed freshwater and marine observatories and test sites experimental facilities and sophisticated data infrastructures aquarius will support the development phase of the eu mission to restore our ocean and waters by 2030 the sustainable blue economy partnership the european green deal and international climate initiatives it will also be an essential component in achieving the european digital twin of the ocean and the un decade for ocean sciences the needs of researchers will be met through a robust and transparent system of transnational access funding calls facilitated by centralised userfriendly access portal the call programme will be informed through stakeholder engagement and brokerage events projects to be selected for access must convincingly integrate multiple infrastructures and contribute to the core policy objectives of mission ocean that is to protect and restore marine and freshwater ecosystems and biodiversity to prevent and eliminate pollution of our oceans seas and waters and to ensure a sustainable carbonneutral and circular blue economy a thematic and geographic focus will be the hallmark of the proposed transnational calls aligning with the lighthouse regions that is the baltic and the north sea basins black sea atlanticarctic and mediterranean sea along with their associated rivers
unravelling the dynamics of manybody open systems collective dynamics of quantum trajectories

with the flourishing of quantum information processing the study of open quantum system dynamics has become of paramount importance for the ultimate success of quantum technologies the phenomenology becomes increasingly rich when decoherence and dissipation arise in quantum systems with many degrees of freedom leading to a flurry of different phases of matter rave is devoted to the study of collective phenomena in synthetic manybody open quantum systems through investigation of the dynamics of quantum trajectories following the dynamics at the level of its trajectories will capture features that are washed out by looking at averaged observables ie in the density matrix rave will show that there are collective phenomena visible only in the dynamics of single trajectories and propose experimental schemes to observe them this will lead to a new classification of phases in quantum manybody open systems and help clarify the relations between entanglement correlations and nonequilibrium thermodynamics in those cases where the steadystate phase breaks timetranslational invariance rave will contribute to unify apparently different concepts such as synchronisation and timecrystals the statistics associated with the behaviour of quantum jumps in manybody systems is also important for characterizing the quality and performance of quantum information processing protocols to address the key questions posed by the project rave will develop a promising new methodology based on replicas and use it to design open system quantum simulators able to provide information at the level of single trajectories rave is a highly interdisciplinary programme which will have significant impact in the fields of condensed matter statistical physics quantum information and stochastic thermodynamics
molecular editing by nitrogen insertion

ninsert constitutes a program to embark on selective and mild nitrogen insertions both within and beyond carbonyl chemistry reagent development catalyst design and synergistic effects will be evaluated to provide a platform for latestage skeletal editing an area that has been recently brought to the forefront of organic chemistry with a primary emphasis on heterocyclic motifs commonly encountered in natural products and drug candidates ninsert offers a powerful tool to streamline future syntheses of nitrogen containing compounds notably approximately 59 of all smallmolecule drugs feature nitrogen heterocycles underscoring the profound impact this program will have on pharmaceutical research adjusting physicochemical properties by latestage nitrogen insertion will enable medicinal chemists to tailor the overall compound profile on its way to candidatenomination and ultimately clinical studies furthermore asymmetric methods as elucidated in this proposal will give rise to molecular complexity within the 3d chemical space guided by the principles of strainrelease and molecular recognition we will utilize our expertise on asymmetric ring expansion and atom insertion reactions to deliver highly selective methods applicable to both academic and industrial research despite the pioneering work of beckmann and schmidt over a century ago nitrogen insertions have remained significantly constrained over the years largely due to their substrate limitations harsh reaction conditions and unselective outcomes the progression to selective and widely applicable nitrogen insertions has been long overdue and marks a major driving force behind the development of ninsert