Dragon09/odtu_chatbot huggingface dataset:
neuromorphicenhanced heterogeneouslyintegrated fmcw lidar

grant preparation general information screen provide an overall description of your project including context and overall objectives planned activities and main achievements and expected results and impacts on target groups change procedures capacities innovation etc this summary should give readers a clear idea of what your project is aboutuse the project summary from your proposalthe nehil project an eukorea partnership is set to transform the landscape of digital technologies through groundbreaking neuromorphic architectures and advanced heterogenous integration such as lidar systems this collaborative initiative aims to develop two innovative neuromorphic computing architectures that are crucial for tackling the complex demands of modern dataintensive applications the first system utilizes fefetbased computeinmemory cim accelerators which are designed to support hybrid models of snn and ann these accelerators enhance processing speeds and reduce power consumption making them ideal for realtime highresolution data processing challenges like those found in autonomous vehicle navigation the second system employs photonic integrated circuits based on reservoir computing rc principles significantly easing manufacturing while enhancing the processing of dynamic data streamsthe work involves integrating these neuromorphic systems with stateoftheart fmcw lidar technologies this integration aims to overcome traditional challenges such as high energy consumption and environmental sensitivity setting new standards for resolution accuracy and costefficiencyspecific targets for the nehil project include reducing power consumption in object recognition tasks by 50 and achieving a proofofconcept for ultralow latency lidar signal processing using the fefetbased cim and rc architectures with this approach we exploit the lidars highresolution capabilities in adverse weather conditions reducing power consumption packaging size and manufacturing cost compared to the state of the artthis collaboration extends its benefits beyond the automotive industry enhancing capabilities in diverse sectors such as telecom healthcare smart cities security predictive maintenance infrastructure management industrial automation
dna repair state machines

the doctoral network repstate aims to train a new generation of innovative scientists in biochemistry and biophysics to address central questions in biology concerning the mode of action of critical dna repair proteins that act as state machines repstate consists of a highly collaborative consortium consisting of 14 participants coming from academia industry and the creative sector representing the natural sciences as well as the social sciences participating laboratories in repstate are part of established research schools within renowned research organizations and universities this environment of excellence offers a multidisciplinary phd program to 13 young researchers through training in the fundamental chemical and physical principles that underlie biology and human health in addition training will focus on method development using technology and experience provided by the academic participants as well as by the two small technologydriven companies training incorporates a local program rotations within partner laboratories exposure to the nonacademic sector and annual meetings fellows will follow scientific workshops courses in transferable skills and career development and will disseminate and communicate their projects to a diverse audience in close collaboration with the creative sector the repstate fellows will form a new generation of mature and innovative european scientists with a thorough understanding of fundamental quantitative principles underlying biology with experience in technique development career perspectives in multiple sectors and an understanding of the importance of the role of fundamental science for society and human health
volufate volumetric programming of cells to control the fate and function of engineered tissues

engineering living tissues is expected to revolutionize pharmacological screenings fundamental biological studies crueltyfree meat production and engineered organ replacements historically the functional performance of the living cells within engineered tissues is controlled exclusively via chemical eg growth factors or cell binding peptides or mechanical eg stiffnessstress relaxation properties of the biomaterial all these approaches are united in their shared grand limitation the cells inability and insensitivity to any given signal this imposes strict design constrictions and associates with donor variation which has hindered clinical translation and commercial valorisationin recent years it has become known that cell volume dictates sensitivity and responsivity of cells to their microenvironmental cues indeed pathophysiological microenvironments induce alterations in cell volume which underpins the aetiology of numerous diseases although it is anticipated that controlling cellular volumes thus can program the behavior of engineered tissues especially when implanted in diseased sites currently no strategy to realize this in 3d tissues is availablethis proposed volufate project aims to leverage a cuttingedge singlecell microgel technology to overcome this grand challenge by providing the worlds first platform to program cell volume in a scalable widelyapplicable and translatable manner healing of cartilage defects is chosen as a model system
ocean and space pollution artistic practices and indigenous knowledges

what is the role of contemporary indigenous artists and nonindigenous artists engaging with indigenous people knowledges in making ocean and space pollution visible how are indigenous knowledges knowhow histories and memories mobilised to address current environmental crisesstrongly grounded in anthropology and the arts ospapik is both pluri and interdisciplinary it offers innovative approaches to pollution indigenous knowledges and the arts through its systematic focus on materiality and on the relationship that people have with waste it intends to develop novel critical and ethnographicallyinformed analyses of the socioenvironmental life of waste by investigating how creative and artistic expressions allow the artists themselves scientists expedition project organisers and audiences to better understand how marine ecosystems and outer space are impacted by pollution it will also interrogate whether the study of arts provides means to better understand the different professional sectors and actors involved in depollutingthe whole project is designed to rigorously analyse conjointly 1 the motifs and patterns used by indigenous artists and nonindigenous artists collaborating with indigenous people and 2 the ways these artists use ocean and outer space waste and debris as artistic materialit focuses on the ocean and space where pollution can be invisible to the eyes and which are spaces that are often deemed sacred according to indigenous cosmogonies but have been perceived according to dominant western modern conceptions as uninhabitedthe project aims to study comparatively affective professional sensorial and historical relationships to marine nuclear and space debris and waste through an analysis of indigenous artistic practices and nonindigenous practices engaging with indigenous knowledges
imaging single glycoconjugates

glycox aims to develop single molecule analytical methods to address the challenge of elucidating glycoconjugate structures glycoconjugates are glycans aka carbohydrates that are attached to another biomolecules such as proteins or lipids glycoconjugates are essential to all living organisms carrying out key cellcell communication roles in immune system or in microbial infection glycoconjugates are found in all biological systems and yet when compared to proteins or nucleotides very little is known about their structures and how they lead to their biochemical properties or how they can be exploited in therapeutics efforts to reveal their structures by ensemble averaged approaches whether primary structures sequences or secondary structures conformations have been severely hampered by the high complexity and flexibility of glycansglycox addresses this challenge by direct imaging of single glycoconjugate molecules devoid of any ensemble averaging to this end glycoconjugate ions generated from electrospray ionization are soft landed on surface and imaged oneatatime by scanning probe microscopy in vacuo the project proposes the use of direct imaging 1 to identify the glycoforms of any glycoconjugates ie variants of a specific glyconjugate that possess different glycan primary structures 2 to sequence any glycan residues in any glycoconjugates and 3 to determine the conformations of any glycoconjugates the project plans to focus on glycoconjugates that are intractable by present analytical methods many of which are central in immune system in microbial infection and in emerging diagnostics drugs and vaccines these works have far reaching impacts shedding light into the language used by cells to communicate and by pathogens to infect creating new opportunities in glycanbased therapeutics as well as opening new frontiers in single molecule analytical chemistry of biomolecules
integrating longitudinal multimodal profiling of metastatic breast cancer patients for highdefinition oncology

precision oncology has revolutionized cancer therapeutics mostly by matching genomic alterations with molecularly targeted agents yet current predictive capacity is imperfect even in bestcase scenarios tumors driven by oncogene addiction against which a targeted agent exists to push the field forward we propose to exploit recent technological advances to analyze longitudinal profiles of cancer patients that encompass dimensions beyond the genetic profile physiological monitoring ehealth records patientreported outcomes medical imaging and multiomics the integration of this multidimensional data with personalized genomics will allow an unprecedented level of understanding of cancer processes identifying the features that drive patient disease trajectories eliciting truly precision interventionsthe goal of this project is to use this approach to improve the current predictive ability and break current efficacy plateaus in advanced breast cancers i will integrate longitudinal data of a cohort of 100 hormone receptorpositive metastatic breast cancer patients in first line of treatment with cdk46 inhibitors and hormone inhibitors monitored until disease progression or treatment failure this constitutes the largest highdefinition medicine study in advanced breast cancer patients to date i will use data across 10 different modalities to establish disease trajectories relate molecular features to clinical outcomes and build predictive models for prognosis this integrative project combines translational and clinical oncology engineering and data science to transition from the current genomicscentered precision oncology approach to highdefinition oncology a model in which deep longitudinal patient monitoring achieves a comprehensive personalized oncology
optimisation of a novel software tool for automation of the design verification process of semiconductor development

if a defect remains undetected in the development process of a chip it will be carried over to the physical production and will be present in every unit produced if discovered too late the manufacturer incurs in a loss that can reach billions even if it can be corrected market entry would be delayed resulting in additional losses in a reality where the eu semiconductor market is lagging behind lubis eda is developing a software that ensures that future chips are developed more reliably faster and with a mathematically proven 0 chance of errors by automating the design verification process of chip development lubis unique procedure enables exceptional costeffectiveness and faster timetomarket for semiconductor developers maximising their revenues and ensuring safe and reliable development within this project lubis will optimise its software and make it accessible to a broader audience enabling its market introduction through a licensingbased business model
sea level rise impacts on italian hospitality

there has been no evaluation of the economic and environmental impacts of coastal sealevel rise on the hotel industry utilising artificial intelligence ai to analyse the whole transmission channel the sealimiths project will contribute to the expanding but still limited body of information on climate change and tourism losses despite the importance of sand beaches to the hotel sector in the vast majority of italian beaches tragically few policymakers incorporate quantifiable risk assessments of sand beach loss due to climate change this study investigates the impacts and economic consequences of sea level rise on sandy beaches and beach hospitality losses owing to beach erosion and flooding in two economically important italian coastal areas veneto and emiliaromagna combining sandy beaches with a proposed rich dataset based on machine learning and artificial intelligence usergenerated data is matched to the land coverland use map to separate the hospitality sectors accommodation food and drink sports and leisure in order to assess economic losses in the hospitality industry from 2050 to 2100 using representative concentration pathways rcp 45 and rcp 85 taking into consideration no adaptation measures the predicted cumulative damage costs per hospitality industry are analysed and contrasted to the investment cost of adopting alternative adaption solutions using an italyspecific computable general equilibrium model the estimated direct costs will be used in a macroeconomic assessment as input to determine how changes in hospitality activities effect regional value added the fact that this proposal pertains to several disciplines of study is what gives it its creative interdisciplinarity the combination of economic and environmental research together with the developing and increasing methods of machine learning will produce an outstanding piece of work and significantly advance the authors scientific career
advancing the physical intelligence and performance of robots towards humanlike bimanual objects manipulation

the manibot research aims at bimanual mobile robots able to perform a wide variety of manipulation tasks with highly diverse objects possibly partly or fully unknown beforehand in a humanlike manner and performance to achieve this we advance and fuse all necessary technologies from multimodal perception cognition and control to novel cognitive mechatronics we develop new environment understanding and objectpose recognition methods empowered through adaptive contextaware fusion of vision proximity and tactile sensing and emphasizing on adequate efficiency for fast and effective manipulation even of objects without precise model including deformable ones and in diverse challenging environments with human presence we also develop a novel suite of manipulation primitives including nonprehensile manipulations which along with bimanual manipulation will allow the transfer of diverse objects with various sizes weights shapes materials and rigidities from a mobile robot with performance close to that of humans even upon significant spatial constraints the above are fused through a novel approach for robot cognitive functions based on multilevel robot cycles that allow learning composing and swiftly adapting robot behaviors for complex manipulations covering key topics of sequential manipulation of multiple objects to achieve complex goals we push the limits of physical intelligence of bimanual mobile robots by coupling our methods with novel cognitive mechatronics fusing advanced tactile and proximity sensors with a bimanual mobile manipulator optimized for energy efficiency and increased autonomy including hri capabilities for trustworthy and efficient operation our outcomes will be evaluated in four use cases in three pilot sites trl5 in challenging environments where the handling of abundance of different objects is needed in retailsupermarkets and transportairports for shelves restocking and baggage handling operations
quantitative reconstruction of past seawater oxygen concentrations

because of their sheer size and tight coupling to the atmosphere the oceans are a pivotal climate regulator their interaction with climate is associated with both physical processes such as ocean circulation which redistribute heat freshwater and carbon around the globe and biogeochemical processes which ultimately control the strength of the biological carbon pump and by inference the storage of remineralized carbon in the ocean interior seawater oxygen concentrations are intimately linked to both type of processes and are thus a crucial parameter for assessing the state of the oceans today but also in the past despite the crucial role these processes play on climate and climate variability they remain surprisingly poorly understood while paleoceanography offers a unique opportunity to observe the state and behaviour of the oceans under different boundary conditions no reliable and widely applicable method for the quantitative reconstruction of past bottom water oxygen concentrations bwo has yet been established thus the objective of oxyquant is to develop and calibrate an innovative proxy toolkit to reliably reconstruct past bwo to this end three fundamentally independent approaches for which promising preliminary observations exist will be calibrated using a range of sediments retrieved from contrasted marine environments while the first approach associated with the sedimentary concentrations of redoxsensitive trace metals has already attracted much interest over the past decades the other two methods namely the organic matter associated iodine and the stable isotope composition of authigenic cerium 142ce archived in fossilised fish debris are novel and have yet to be comprehensively tested combined with their application in two case studies on glacial interglacial time scales oxyquant will provide the paleoceanographic community with the means to finally fill the gap of quantitative reconstructions of past bwo
securebydesign iot operation with supply chain control

doss elaborates a securebydesign methodology and implements related technology for complex iot architectures based on supply chain monitoring component testing and architecture modelling the project establishes a supply trust chain with integrating key stages of the iot supply chain into a digital communication loop to facilitate security related information exchange the technology includes security verification of all hardware and software components of the modelled architecture a new device security passport will be defined for 3rd party hardware and its components 3rd party software opensource applications as well as inhouse developments will be tested and assessed the centrepiece of the proposed solution is a flexibly configurable digital cybersecurity twin able to simulate diverse iot architectures it will employ ai for modelling complex attack scenarios discovering attack surfaces and elaborating the necessary protective measures the digital twin will provide input for a configurable automated architecture security validator module which will assess and provide precertification for the modelled iot architecture in respect of relevant selectable security standards and kpis to also ensure adequate coverage for the back end of the supply chain the operation of the architecture will also be protected by secure device onboarding diverse security and monitoring technologies and a feedback loop to the digital twin and actors of the supply chain sharing security relevant information the procedures and technology will be validated in three iot domains automotive energy and smart homethis new securebydesign approach for complex iot operations will be an early implementation of the concept and requirements of the proposed european cyber resilience act and will provide an operational reference model based on our learnings and experiences we will make policy recommendations and will contribute to standardisation
searchable multidimensional data lakes supporting cognitive film production distribution for the promotion of the european cultural heritage

the scene project has been majorly designed to offer the means for a modern globally competitive european filmmaking industry by building upon two solid pillars ie semantically cognitive ai technologies and the in tangible european cultural assets always with respect to the european values policies regarding the human and its environment scene will develop a wide set of cuttingedge technologies services that are able to cover the whole pipeline of the filmmaking industry from farm to fork ie from the very early stages of the film planning until their playback at the audience screen specifically scene aims to innovate by enriching the existing data lakes with highqualitative editable 3d digital models of european cultural sites and by enhancing their accessibility with the integration of multidimensional knowledge graphs carrying location culturalaware information scene will further facilitate the filmmaking filmediting side during the production the postproduction phase with efficient simulation novel assessment mechanisms similarly it will enable a smart privacypreserving interaction channels between industrial stakeholders the audience that will allow not only for proactive sensing of the audiences preferences in the preproduction phase but also for the early identification of the most matching advertisement distribution channels during the distribution phase as well as the insightful matching recommendation between films individuals the integration of the aforementioned technologies under the unique scene platform demonstrates significant capacity to render an excellent proofofconcept prototype to guide inspire and mark significant breakthrough in the film making industry during the post covid era on scientific commercial business policy level
enhanced manufacturing of broadly potent equine polyclonal fab with a rational immunization strategy against coronaviruses

efabric will develop a new hyperimmunization strategy for generating high titers equine immunoglobulins having a broad neutralizing specificity against viral targets belonging to same subfamily phylogenic tree the viral subfamily selected to demonstrate the unique benefits of this innovative way to induce highly antiviral active antibodies is the sarbecovirus subfamily the equine antibodies will be processed as purified fab2 fragments a wellknown pharmaceutical product with a strong historical safety record in human patients the fab2 antibody fragments generated by efabric are expected to display a unique and very wide neutralizing activity spectrum this new property will be the synergistic outcome of the immunization with a nanoparticle codisplaying 8 different sarbecovirus rbd subunits designated as mosaic antigen and the natural immunogenetic diversity present in individual horses in each individual horse the mosaic antigen immunization will drive the generation and maturation of antibodies highly focused on conserved epitope structures shared by the different sarbecovirus rbd subunits and associated with viral neutralization as each horses own immunogenetics will mature the mosaic antigenspecific antibodies in a different way several equine individual antibody specificities will be pooled in order to expand the overall broad viral neutralizing activity of the final pharmaceutical product the combined multiplicity of individual antibody response diversities and the highly focused antibody responses induced by the mosaic antigen will be the basis of a broadly potent immunotherapy pharmaceutical fab2based product able to significantly reduce the clinical and societal impact of any emergence of a new human sarbecovirus outbreak the scientific and technical learnings of this new and powerful immunization strategy will be applicable to other viral families from which human infectious threats may arise