Dragon09/odtu_chatbot huggingface dataset:
tackling seismicity at etna using repeating sources relocations and ambient noise monitoring

our understanding of processes governing effusive and explosive eruptions has improved over the past decades but understanding the nature of eruptive activity using seismicity is poorly constrained volcanoes produce a wide range of unique seismic signals providing information on source depth fluid migration and subsurface processes and structures hence volcanic seismicity is a useful tool used by observatories to understand activity throughout eruptive and rest periods many volcanoes show a mixture of explosive and effusive activity proving difficult for hazard assessment and risk mitigation due to the differing impacts of eruptive style mt etna is one of the most active volcanoes in the world and produces a range of eruptive styles with eruptions varying in length from days to months records of eruptions at mt etna date back to 1500 bce with a noted increase in volcanic activity over the past 30 years this high eruptive rate longevity and variations in eruptive style provides an ideal location to understand links between eruptive processes and seismicity a substantial seismic network operated by ingv has been in place since 2000 providing a vast catalogue of seismicity the proposed project terra will work alongside ingv to tackle seismicity at etna using repeating sources relocations and ambient noise monitoring repeating earthquakes are spatially localised groups of events that are commonly recorded at volcanoes with each type of signal ambient noise monitoring will allow a continuous record of velocity changes through several eruptions this will complement results from relocated and categorised seismicity to further develop understanding of processes before eruptive episodes the objective of this proposal is to provide novel quantitative constrains on the relationships between seismicity and volcanic processes that govern eruptive styles at mt etna by looking at the temporal evolution of seismicity since 2000
spatiotemporal regulation of centriolar satellite homeostasis

membraneless compartmentalization has emerged as a powerful yet mysterious process for the spatiotemporal control of fundamental cellular processes how the identity of a membraneless organelle is established maintained and dynamically altered remains unclear in this project i will investigate the fascinating biology of the centriolar satellites hereafter cs a vertebratespecific membraneless organelle cs was first discovered as granules that cluster and move around centrosomes major microtubuleorganizing centers of animal cells recently my lab and others have placed cs in a new pathway for targeting proteins to centrosomes and cilia and identified an important role for cs in cell division cellular signalling and neurogenesis while cs functions shone light in these organelles little is known about their own biochemistry and how that affects their functionrecent studies including my own revealed unique and intriguing cs properties that likely underlie the rules underpinning their regulation and function the properties of cs granules are regulated in space time and tissue as we observe differential size and composition within the cell and in different cell types building on these discoveries i hypothesise that cs perform its different functions by acting as adaptive organelles that remodel its granule features in response to intrinsic and extrinsic cues with this project i propose to investigate the molecular basis of 1 cs scaffold assembly and disassembly 2 cs granule size composition architecture and dynamics and 3 cs heterogeneity within a cell and in different cell types this project will combine in vitro reconstitution imagingbased assays a new satellitegfp mouse and our expertise in proximity proteomics and biochemical purifications our results will have broad implications in unveiling how cells organize its cytoplasm in time and space appropriate to its differentiation status environment and organismal health
quantitative analysis of endosomal escape and intracellular delivery via bioorthogonal luminescent reaction

intracellular delivery of membraneimpermeable biomacromolecules is essential for a broad spectrum of life sciences ranging from fundamental biological studies to applied biomedical and pharmaceutical sciences despite the great efforts in developing new intracellular delivery nanocarriers in the recent 20 years simple highthroughput and accurate intracellular delivery quantification in live cells is still technically challenging in biolure i propose an unconventional approach to quantify intracellular delivery and endosomal escape by a bioorthogonal luminescent reaction in live cells instead of a bulky fluorophore i will label the molecule of interest moi to be delivered with a single amino acid tag which causes minimal changes in mois physicochemical properties and functions the tag will generate luciferase substrate inside live cells upon successful translocation into the cytoplasm by bioorthogonal reactions with chemoselectivity rapid kinetics biocompatibility and high efficiency the quantification strategy will initially be applied to the intracellular delivery of proteins via physical membrane disruption and validated by complementary methods it will then be expanded to nanocarriermediated endosomal escape with different mois including therapeutic sirnas the successful endosomal escape quantification will allow further nanoparticle screening for sirna deliveryi envision that biolure will lead to a paradigm shift in the intracellular delivery field facilitating the transformation from qualitative routine fluorescence imaging to highthroughput realtime quantification the high sensitivity and low background make it an appealing tool for biologists to study endosomal escape and for material scientists to develop potent nextgeneration nonviral intracellular nanocarriers eventually it will facilitate the design and screening of endosomal escape carriers and future nanomedicine formulations
federate learning and multiparty computation techniques for prostate cancer

the flute project will advance and scale up datadriven healthcare by developing novel methods for privacypreserving crossborder utilization of data hubs advanced research will be performed to push the performance envelope of secure multiparty computation in federated learning including the associated ai models and secure execution environments the technical innovations will be integrated in a privacyenforcing platform that will provide innovators with a provenly secure environment for federated healthcare ai solution development testing and deployment including the integration of real world health data from the data hubs and the generation and utilization of synthetic data to maximize the impact adoption and replicability of the results the project will contribute to the global hl7 fhir standard development and create novel guidelines for gdprcompliant crossborder federated learning in healthcare to demonstrate the practical use and impact of the results the project will integrate the flute platform with health data hubs located in three different countries use their data to develop a novel federated ai toolset for diagnosis of clinically significant prostate cancer and perform a multinational clinical validation of its efficacy which will help to improve predictions of aggressive prostate cancer while avoiding unnecessary biopsies thus improving the welfare of patients and significantly reducing the associated costs team the 11strong consortium will include three clinical data partners from three different countries three technology smes three technology research partners a legalethics partner and a standards organizationcollaboration in accordance with the priorities set by the european commission the project will target collaboration crossfertilization and synergies with related national and international european projects
correspondence through millions bodies a largescale functional and implicit datadriven method for 3d humans matching

interest in virtual humans is growing fast in public opinion and in several scientific and economic fields from entertainment to medicine from social sciences to ergonomics the market of virtual avatars has a value estimated around usd 10 billion and is expected to reach more than usd 520 billion in 2030 to investigate learn from and represent fairly the wide variety of human experiences tools to establish analogies or namely correspondence between them are required computer vision and graphics studied the problem intensely but so far no method has affirmed itself as a robust and flexible standard this ambitious action aims to fill this gap starting from three observations 1 few methods rely on implicit representations despite their flexibility and resilience 2 especially wellstudied theoretical methods capable of strong regularizations have never been applied to these representations 3 no method takes full advantage of largescale datasets this action will combine these aspects following a roadmap with three major scientific objectivesa collecting dataset of 10 million bodies with different properties encoded as implicit representation equipped with a groundtruth correspondenceb developing a novel datadriven framework based on functional maps theory for implicit representationsc deploying a largescale neural network for 3d human correspondence beneficiary of the previous bullets usable in realworld scenariosthis msca will produce substantial scientific economic and social impacts in this strategic field thanks to the interdisciplinary union of mathematical tools for functional analysis the latest advances in deep learning and domain knowledge of human bodies this action will carry an intense outreach to a broad audience informing on bodies digitalization process and the importance of fair representation of the human experience in this fastchanging technology
reinventing multiterminal coding for intelligent machines

advancements in sensors and deep learning have elevated the perception capacity of machines bringing midlevel autonomy within reach however the abundance of highdimensional data including video and dynamic point cloud streams strains current storage and communication technologies to their limits and curtails the ability of machines to collaboratively perceive the environment a critical factor for achieving safety and the ambitious goal of highlevel autonomy stateoftheart cooperative perception methods are based purely on a datadriven approach requiring massive training data and computational resources and lacking interpretability explainability and a solid theoretical foundationthis proposal puts forth a groundbreaking multiterminal coding paradigm for intelligent machines enabling data compression and communication systems that break the current limits of the predictive coding archetype it builds a unique concept that unifies traditional distributed source coding and signal processing domain knowledge with modern deep learning first it leverages machine learning to solve longstanding problems in multiterminal coding theory and devise code constructions achieving the fundamental limits thereby establishing a theoretical framework that defines the amount of information required to be sent per agent to solve the cooperative perception task second it leverages domain knowledge to drive the design of interpretable and data and parameterefficient machine learning models for cooperative perception third it reinforces this interplay by pioneering explanations that enforce and assess the interpretability of the designed models ionian will have a profound impact on the way intelligent machines including ground and aerial vehicles and mobile robots compress and communicate multisensory data to collaboratively perceive the environment for autonomous safe navigation ultimately leading to trustworthy operation and acceptance of such systems
nonanimal platform for nanoparticlebased delivery across the bloodbrain barrier interface with vehicle evolution

the bloodbrain barrier bbb is a major obstacle in treating diseases of the central nervous system cns such as parkinsons alzheimers schizophrenia and brain cancer affecting 180 million europeans with less than 5 of current candidate drugs effectively reaching the brain nap4dive strives to revolutionize the traditionally expensive and inefficient drug development for these diseases by establishing advanced nonanimal alternatives for testing and predicting nanoparticle npbased drug delivery across the human bbb this approach aligns with eu and global initiatives to reduce animal testing and advance humanbased biomedical research models the project will develop two complementary nonanimal tools a highthroughput bbbonchip and an in silico model based on machinelearning np design simulator a digital repository of optimized nanoparticle designs np design library will be created to gather publicly available and newly obtained np characterisation data specialised for bbb delivery the design simulator screens thousands of np designs to recommend the most promising ones which will be tested in vitro on the microfluidic bbbonchip with realtime measurement of barrier integrity the accuracy and physiological relevance of both tools will be validated by the pharmaceutical partner through comparison with clinical and preclinical data nap4dive tools will reduce animal use in cns drug development by up to 95 while saving 30 of costs by identifying nanoparticles for crossbbb drug delivery and offering avenues for new effective treatment options nap4dive addresses one of the most pressing healthcare challenges of the century a comprehensive hta will demonstrate market readiness and costeffectiveness of the tools an ethical assessment will analyse harm reduction and engagement with regulators and policy makers will promote nonanimal alternatives in preclinical testing on a larger scale
humanguided collaborative multiobjective design of explainable fair and privacypreserving ai for digital health

artificial intelligence ai is one of the most significant pillars for the digital transformation of modern healthcare systems which will leverage the growing volume of realworld data collected through wearables and sensors and consider multitude of complex interactions between diseases and individualpopulation while aienabled digital health services and products are rapidly expanding in volume and variety most of the ai innovations remain in the form of proofofconcept there is a continuous debate regarding whether ai is worthy of trust the eu ai hleg has defined that trustworthy ai systems should be lawful ethical and robust to translate it into actionable practices provision of explainability fairness and privacy is crucial a considerable volume of research has been conducted in the areas of explainable ai fair ai and privacypreserving ai however the current research efforts to tackle the three challenges are fragmented and have culminated in a variety of solutions with heterogeneous noninteroperable or even conflicting capabilities the ambitious vision of harmonicai is to build a humanmachine collaborative multiobjective design framework to foster coherently explainable fair and privacypreserving ai for digital health harmonicai draws together proven experts in ai health care iot data science privacy cyber security software engineering hci and industrial design with an underlying common aim to develop concrete technical and operational guidelines for ai practitioners to design humancentered domainspecific requirementoriented trustworthy ai solutions accelerating the scalable deployment of aipowered digital health services and offering assurance to the public that ai in digital health is being developed and used in an ethical and trustworthy manner
towards h2ydrogen integrated economies in northern italy

th2icino towards h2ydrogen integrated economies in northern italy supports the deployment of micro hydrogen economies for the eu by developing and demonstrating a full ecosystem integrated by 6 replicable use cases linked to the steps of the hydrogen value chain the results will validate a master planning tool mpt which replicability will be then tested the demonstration of the hydrogen valley will work on the four pillars of the hydrogen value chain i hydrogen production ii hydrogen storage iii hydrogen distribution and iv hydrogen consumption and will send the initial status of th2icino in order to enable replication and expansion a first stage will include modelling simulation and scenarization from electrolysis plant to enduser in order to evaluate different scenarios and optimize them taking into consideration the technological constraints once the optimal cases are defined an implementation phase will bring to reallife the innovative concept of the ecosystem tangible results to feed the mpt
connecting healthtech innovation ecosystems for usercentred and businessdriven entrepreneurial education propelling nextgeneration digital health solutions

rising costs resource pressures and an increase in chronic diseases together with the challenges posed by an ageing population have exerted significant pressure on europe to improve its healthcare and put forward healthrelated technological advances while much has been done inside healthcare institutions hospitals and clinics to stimulate innovation far less has been done outside the traditional healthcare frameworks to foster the development of innovative health solutions in this context less conventional players like educational establishments and training providers have proven to play an increasingly important role in developing an entrepreneurial spirit and driving innovation nevertheless the typical science education curriculum including the medical curriculum does not integrate any instruction on innovation or entrepreneurship which leaves a gap hence there is a strong need for education offers that can equip future health innovators with particular mind and skillsets and with the capacity to shape tomorrows healthcare to respond to the unmet need several health care innovation and entrepreneurship education and training offers with novel reallife approaches involving ecosystem members have emerged in the past years both in eg in denmark and outside europe in order to close the innovation gap across europe it is critical to foster the best practices and innovation resource flows between ecosystems at different development levels healtheconnect will strengthen the cooperation between two innovation ecosystems the healthtech innovation ecosystem of the lisbon region pt and the one of hovedstaden dk to support the rise and growth of nextgeneration healthtech companies through a codesigned usercentered and entrepreneurialdriven healthtech innovation and entrepreneurship educational offer launched in lisbon capitalising on best practises and platforms to sustain collaboration and resource flows between ecosystem members
altered brainperiphery crosstalk as a key pathomechanism for highrisk phenotypes in humans

diabetes is a leading cause for morbidity and mortality worldwide in our fight against the diabetes pandemic my team and i recently identified subgroups of humans that are predictive for future lifethreatening complications even before diabetes onset classification into these new risk groups is currently purely based on extensive phenotyping yet the underlying mechanisms are unclear of note phenotypes of very highrisk persons are highly reminiscent of those from subjects with altered peripherybrain communication i will combine groundbreaking experimental research in humans with latest data analysis approaches to delineate the causal relationship between altered brainperiphery communication and very highrisk phenotypesthe 1st aim will reveal disturbances in the brainperiphery communication in highrisk persons i will identify differences in the transduction of neuronal signals to the target organs discover regulators from the brain to the periphery and elucidate the regulation of underlying pathways the 2nd aim will clarify signalling from the periphery to the brain i will unravel the dynamic interaction between insulin and gutderived hormones on the brain identify signalling patterns that inform the brain about food intake and determine disturbances thereof in highrisk persons and i will noninvasively characterize postprandial molecular responses in neurons the 3rd aim develops a novel noninvasive approach to identify highrisk persons by their altered brainperiphery communication it will apply the abovegenerated knowledge to develop an algorithmbased integration of health data ultimately my project will innovatively define the impact of altered brainperiphery crosstalk in the development of clinically relevant highrisk groups it will set ground for novel approaches that optimize prevention and treatment of major complications and thereby improve future health way beyond what is achieved by current approaches
biopharmaceuticals purification by continuous membraneassisted crystallization achieving lower cost and intensified processes

with the growing global demand for biological medicines to address new therapeutic areas the biopure project will deliver a step change in monoclonal antibodies mabs purification through the implementation of radically new and disruptive technology to recover mabsproducts in the solidstate directly from cellfree culture fluids biopure promises to lower manufacturing and purchase of equipment costs with a smaller footprint it simplifies logistic chains and enhances environmental sustainability by avoiding extensive use of chemicals compared to the standard chromatographybased platforms it opens the doors to new possibilities and biomedicines so far too challenging economically or technologically as end result the citizens will have access to a more affordable and diverse selection of new generation biomedicines the proposed membranebased technology has already been proved at the laboratory scale trl4 as a cheaper and easily scalable alternative to protein a chromatography for mab purification the next step is to demonstrate the generalized efficiency of the technology and scale it up to trl6 through the design of a fully automatized prototype that will be operated continuously and capable of compliance with quality and regulations for biopharmaceutical productions in addition to technological development the new biopure technology will be validated with real market players leading to verifying the planned business model the ipr management plan and the associated financial planning included in the gotomarket strategy by achieving the main objectives of biopure it is expected that the adoption of membraneassisted method for mabproducts purification will provide a breakthrough advancement in terms of productivity efficiency via continuous manufacturing and cost reduction via process intensification