Dragon09/odtu_chatbot huggingface dataset:
towards an emerging field of social neuroscience in human groups

group interaction is part of our evolutionary history and continues to be central to modern society whereas some groups function harmoniously and productively others do not understanding group processes affecting these outcomes is vital because group discourse and actions affect individuals wellbeing and societal functioning examining the interactive biobehavioral processes that emerge between group members during shared tasks the processes that influence actions emotions and cognitions will enhance our understanding of group functioning and dynamics yet a comprehensive understanding of the biobehavioral processes underlying successful group functioning remains elusive to fill this gap groups focuses on the multimodal neural physiological and behavioral synchrony patterns emerging between group members interpersonal synchrony is a ubiquitous and spontaneous process a key mechanism in social interactions that pulls us to clap in unison with the crowd or to join others in protesting for a just cause contextual factors and individual differences modulate multimodal synchrony by prompting us to connect with or separate from the group multimodal synchrony in turn enhances or reduces relational cohesion trust rapport identification and goaloriented performance efficacy creativity outcomes the projects objectives are to examine 1 whether and how multimodal synchrony affects group outcomes on the individual dyadic and group level 2 how individuals traits demographic psychological physiological impact multimodal synchrony and its outcomes in groups 3 how competitive versus cooperative interpersonal contexts impact multimodal synchrony and its effects on groups realizing these objectives will advance the science of human groups by going beyond existing insights on the functioning of animal collectives and human dyads and may thereby contribute to a more inclusive and productive society
entanglement restoral with fast photonic circuits

the world is currently on the verge of a new technological revolution rooted on the possibility of harnessing unique properties of quantum mechanics such as entanglement to implement novel paradigms for computation semiconductor quantum dots are excellent candidates to become the sources at the heart of future photonic quantum technologies due to their capability of emitting single and even entangled photons however the presence of a fine structure splitting fss between the excitonic levels significantly degrades the quality of the entangled emission from quantum dots and causes the latter to emit random entangled states instead of always the same bells one this pervasive problem has proved to be a major hindrance and prompted significant efforts to devise mitigation strategiesall the approaches implemented so far assume that in order to prevent the degradation of entangled photon emission its prime cause the fine structure splitting of the source should be removed several approaches have yielded excellent results in this sense but at the cost of unwanted sideeffects or increases in fabrication complexity and introduction of additional challenges for photonic integrationi propose to implement a complete paradigm shift in the search for a solution to this problem and show that entanglement restoral can be achieved after the emission of the photons from the source as the latter emits a statistical mixture of entangled states when an fss is present and entanglement is not destroyed on a fundamental level entanglement restoral can in principle be achieved by applying a sequence of logic gates that transforms any component of the ensemble to the same bell statei propose to implement this approach and show its superiority for integrated quantum photonics by developing the worlds first fast photonic circuit in a lithium niobate platform designed to manipulate polarizationentangled photons and fully integrate a quantum dot on the photonic chip
refinery integration scaleup and certification for aviation and marine biofuels production

among solutions to reach an eu net zero emissions economy by 2050 advanced biofuels have the potential to save several gigatons of co2 emission per year however their development is hampered by a complex feedstock to be processed the massive investments needed for each new refinery unit the lack of certification for market adoption and above all social acceptance of the biofuel production itselfrefolution will tackle these limitations by delivering a costeffective production reduction of capex by 50 and opex by 45 of advanced biofuels for the aviation and marine sectors via a process that can be implemented in existing european refineries refolution will demonstrate the transformation of biooils produced from fast pyrolysis fp into advanced biofuels through intermediate process steps stabilisation fractionation combined with downstream coprocessing technologies at different levels of severities temperature hydrogen consumption carbon yield for targeting different applications fluid catalytic cracking fcc coprocessing for aviation trl7 and marine sectors and hydrotreating for marine trl6refolution is gathering 14 leading eu entities covering the full biofuel value chain to deploy riskmitigation pathways for successful implementation into existing refineries the project will deliver a comprehensive toolbox of models standards social assessment and exploitation pathways for interfacing with current refinery models and available documentation for further replication in other existing refineries from a dozen in 2030 several hundred pyrolysis units delivering biofeedstocks to the 90 refineries in 2050
a prototype system for obtaining and managing training data for multilingual learning

it is difficult to build high quality machine translation systems for lessresourced languages such as the minority languages of europe stateoftheart machine translation is trained on large parallel corpora texts and their translations but such corpora are not available for lessresourced languages we will provide a system for the rapid and inexpensive creation of new parallel corpora our poc project will both produce an opensource prototype utilizing findings from the pis erc stg and determine ipr and future funding the key innovation of the prototype will be that it can be used by the lessresourced language community themselves current systems require extensive background in natural language processing allowing the community to create and curate parallel data has clear social benefits the creation of high quality machine translation systems for lessresourced languages will allow for more content creation in these languages playing a strong role in the preservation of these languages curated parallel data will also be useful in activities such as education and cultural heritage research government funding is available for digital language preservation for many of the 7000 languages spoken on earth companies with online translation systems such as google and deepllinguee are not addressing this market as the roi is too low it makes more sense to empower local communities to create such parallel data we will carefully evaluate our prototype to ensure that it meets their needs along with the creation of the prototype we will determine how best to structure the ipr to support future development consulting which we have already carried out for the sorbian community and a certification scheme for users of our system are two possibilities we will consider along with commercial machine translation and multilingual classification problems such as hate speech detection
why do transcription factors bind what they bind when they bind

transcription factor binding is orchestrated by a complex interplay between dna sequence chromatin composition protein interactions and transcription factor concentration these regulatory features determine the binding kinetics how long it takes for a certain amount of transcription factor to associate and subsequently dissociate from specific binding sites these kinetics are in turn determined by the thermodynamic properties of each interactionit is currently not possible to measure the biochemical kinetics of transcription factor binding across the chromatinized genome inside the nucleus of a cell to understand why a transcription factor binds to a specific chromatindnasequence context in a specific cellular state at a specific time we need to measure how chromatin and dna influence the biochemical parameters that underpin transcription factor binding this gap in knowledge limits our functional understanding of why a binding event occurs and it hampers accurate predictions of transcription factor bindinghere i will establish a novel proteomics and genomics toolkit to decipher the regulation of transcription factor binding kinetics to the chromatinized genome i will resolve interactome and genomewide binding kinetics of three lungcancerassociated transcription factors by delineating association and dissociation rates and changes in disorder and binding energy of all binding events across the genome i aim to obtain a quantitative understanding of how the proteome composition epigenetic landscape and genetic code dictate transcription factor binding finally i will build predictive binding models to engineer cellstatespecific transcription factor binding profilestogether this will transform our knowledge about transcription factor binding into a functional understanding where instead of observing we understand why each binding event occurs when it occurs and how we can steer these events
bridging the sex gap in traumatic brain injury biomechanics

traumatic brain injury tbi is a multianatomicalscale mechanical injury affecting 30 million women globally each year brainsex will focus on the sex specific biomechanics of tbi in the elderly population motivated by the highest reported incidence of tbi in people over 75 years old furthermore in the elderly population women account for more tbis than men however women remain underrepresented in tbi research finite element brain models febms have played a major role in improving our understanding of tbi however current febms have been developed using maleonly data and cannot accurately model female tbi due to the distinct sex specific neuroanatomies i will embark on frontier research to test the hypothesis that tbi biomechanics are sex specific due to the multiscale sex specific neuroanatomy causing damage to brain tissue cerebral vasculature and neurons under lower impact forces in women compared to men to realize this ambitious goal my team and i will develop groundbreaking sex specific febms incorporating the multiscale sex specific neuroanatomy and constitutive damage properties of brain tissue and cerebral vasculature providing more accurate predictions of tbi from high energy head impacts we will develop novel experimental technologies to characterise the constitutive damage properties of brain and cerebrovascular tissue aim 1 and neurons aim 2 under conditions required to model brain deformation during tbi this data will be used to develop the first ever microstructureinformed constitutive damage model for brain tissue aim 2 this model combined with the febms will revolutionise tbi biomechanics aim 3 brainsex will open new research horizons for biomechanics research focussing on the important role sex plays in tissue biomechanics brainsex will deliver a breakthrough in our understanding of tbi biomechanics by delineating the sex dependent mechanical behaviour of brain tissue and cerebral vasculature during head impacts
how deforestation is changing the climate and atmospheric chemistry over amazonia

the amazon rainforest renowned as the worlds largest plays a pivotal role in biodiversity water cycles atmospheric chemistry and global climate however this vital ecosystem is progressively succumbing to vulnerabilities triggered by climate change and deforestation main drivers of deforestation are the expansion of pasture and agriculture over the past decade these activities have surged underscoring the pressing need for a scientific comprehension of the impacts of deforestation across amazonia to tackle this challenge decca is adopting a multifaceted approach first through rigorous laboratory investigations decca is scrutinizing the impacts of deforestation types on soil microbial community distribution along with emissions of greenhouse gases ghgs carbon dioxidemethanenitrous oxide and reactive nitrogen nr nitrous acidnitrogen oxidesammonia by analyzing soil samples from different land use categoriesranging from pristine forests to areas converted to livestock and agricultural usedecca aims to quantify ghgs and nr fluxes this initiative encompasses an exploration of the influencing factors that drive ghgs and nr emissions ultimately enabling the establishment of emission parameters second combined with a chemistrytransport model decca quantifies the impact of deforestation on atmospheric chemistry and composition this extends to understanding the formation of critical elements like ozone aerosols and cloud condensation nuclei third a processbased biogeochemistry model is employed to estimate total ghg emissions for understanding ghg budgets and their climate implications moreover decca incorporates predictions of land use evolution up to 2050 enabling supplementary model simulations for future deforestation scenarios thus decca leads an interdisciplinary endeavor enhancing our grasp of deforestation impacts across molecular ecosystemwide and atmospheric scales
monitoring of stroke patients with 3d ultrasound localization microscopy

the erc cog resolvestroke has led to the development of a new imaging device based on superresolution ultrasound which can assess ischemic and hemorrhagic stroke through the observation of the smallest blood vessels which are invisible to other medical imaging modalities this strokescanner is currently being demonstrated in a large models before being applied to human studies at the end of the project its remarkable results have led to the creation of a startup resolve stroke which conceives a portable and 3d superresolution ultrasound scanner to improve access to neuroimaging for stroke patientsin particular there is a dire need to monitor the cerebral blood flows at the patients bedside after the acute phase delayed cerebral ischemia arises in a third of all patients suffering from subarachnoid hemorrhage about 800 000 cases worldwide per year transcranial doppler is used to explore large vessel circulation but is blind to fine vascular alterationswe believe that ultrasound super resolution could bring a new diagnostic tool to help patients and physicians with a resolution and sensitivity comparable to ct angiography on a device smaller than a carryon luggagethe goal of the erc poc strokemonitor is to establish the performance and usefulness of this approach to monitor delayed cerebral ischemia the demonstration will be performed both in models and in human patients a model of subarachnoid hemorrhage will be imaged over several days to determine the dynamic of the microcirculation alterations a clinicallyvalidated strokescanner will then be tested on sah patients at chu de caen to identify biomarkers of delayed cerebral ischemia in hemorrhagic stroke patients through this erc poc strokemonitor we will extend the applicability of the strokescanner in neurovascular units in hospitals to help patients followup and generate stronger proof of ultrasound superresolution for neuroimaging
advancing neuroscience by imaging brain cortical fibers

mri provides the unique opportunity to investigate the relation between brain structure and function noninvasively which is key to understand the functioning of the brain and unravel disease processes an important technique is diffusion mri dmri which allows to reconstruct the structural connections through which brain structures communicate conversely no technique can reconstruct the internal wiring of brain structures such as the cortex in living humans where cognitive functions are processed hindering scientific and societal progress to achieve this three challenges must be overcome a spatial gap of an order of magnitude between dmri and the cortical circuitry insufficient contrast provided by dmri in the cortex and a lack of appropriate models to characterize cortical circuitsi aim to bridge the gap between structure and function by mapping the fibers of the brain cortex noninvasively for the first time which are expected to be affected by neurodegenerative processes and to be closely related to cognitive decline to achieve this goal i will pioneer a synergistic approach combining my expertise dmri acquisition and modelling with unique acquisition hardware designed at our institution first i will establish a novel multidimensional acquisition combining dmri with mr relaxometry together with a signal model tailored to characterize axonal fibers in the cortex next i will leverage stateoftheart hardware and superresolution approaches to push the boundaries of invivo mri by an order of magnitude to the mesoscale this will unveil cortical fibers in living humans for the first time and allow us to explore their properties in patients with alzheimers disease their changes during ageing and their relationship with cognitive function altogether we will provide a new asset to understand cognitive dysfunction in neurodegeneration and generate novel fundamental insights for systems neuroscience
clinical evaluation of antimalarials tritherapy with atovaquoneproguanil for treatment of uncomplicated malaria in african children

susceptibility to artemisininbased combination therapies acts currently remains high among the african plasmodium falciparum population but resistant mutant has been detected recently to mitigate the risk of resistance leading to a dramatic increase in malaria related mortality more efficient acts need to be urgently explored for quick deployment in africa artemetherlumefantrine al is widely used and shows high efficacy and favourable safety in africa but needs to be protected to increase its useful lifespan atovaquoneproguanil ap is highly efficacious safe and resistant parasites are not circulating in any endemic area ap targets multiple parasite stages liver and blood in human host and mosquito through an independent mode of action limiting the risk of crossresistance with current actsthe aim of the project is to assess the efficacy of a tripletherapy associating artemetherlumefantrine al and atovaquoneproguanil ap for the treatment of uncomplicated p falciparum malaria in african children in a noninferiority comparatorcontrolled triala phase iii clinical trial will be conducted to compare safety and cure rate of a 3day treatment course with alap versus al in 1664 consenting 6 to 70 months children with uncomplicated malaria from benin gabon ghana and mali the main outcome will be cure rate at day42 excluding reinfections antimalarial pharmacokinetic parameters and posttreatment prophylactic efficacy will be estimated for the two treatments and compared substudies will look at transmissionblocking efficacy through membranefeeding assays and gametocyte dynamics drug resistance selectionby proofing that alap has safety and cure rate similar to al this project will lead to important public healthlevel benefits by provision of a first candidate regimen to be deployed when act resistance spreads throughout africa and by decreasing human to mosquito transmission
quantifying and controlling the mechanisms responsible for mineral behaviour dissolution adsorption and crystal growth

ability to quantify the mechanisms of organic molecule control on mineral behaviour would provide predictive ability a key for solving the serious earth science challenges society faces this has been difficult because molecular scale processes are often beyond resolution limits but even tiny amounts of an organic compound can dramatically alter mineral properties my overall objective is to gain previously inaccessible insight into the controls on dissolution and growth in the silicate system with new custom built instruments that see at scales ranging from atomic to macroscopic my hypothesis is that by learning from nature we can develop a universal conceptual framework for organic molecule activity and from that tailor them to do as we wish i chose silicates because basalt mineralises co2 converting it effectively to carbonate phases as the iceland carbfix method shows but partly weathered old cold basalt is less reactive my specific objective is to tailor organic molecules to enhance basalt dissolution and carbonate mineral growth while inhibiting alsilicates especially clay and zeolites which steal cations and block pores driad will1 develop mechanistic insight for controlling mineralfluid interaction
ultrahigh speed memories for unprecedented cloudcomputing performance

static randomaccess memories sram are bottlenecks in iot devices they consume significant power when the device is idle in high performance applications such as telecommunication infrastructure data centres and stationary devices they limit the processor performance xenergics mission is to design sram that revolutionise systemonchip power efficiency for iot devices we design sram that reduce energy consumption by 7090 when the device is idle for high performance applications our sram have the potential to reach 23x higher speed and to reduce energy consumption by 30 compared to competing sram to capitalise on a 280b annual market opportunity we provide our customers with ip on sram design tailored to their requirements and profit from royalties on their sales our ultralow energy memories are gaining strong traction from leading semiconductor companies now we seek an investment from the eic accelerator to make our ultrahighspeed memories marketready
effective substation technologies for advanced virtualization

the estelar project is dedicated to modernizing power grids to accommodate renewable energy sources and enhance energy efficiency focusing specifically on the virtualization of substations to improve the grids sustainability and resilience by redefining the operation and concept of substationskey components within the power grid infrastructureestelar aims to facilitate the energy transition towards carbon neutralityestelar is based on three innovative pillars advanced communication strategies a robust computational framework and the transformative digital substation of the future architecture the first pillar focuses on enhancing substation communication systems to facilitate seamless and realtime integration of physical and virtual components the second pillar aims to boost the processing and data handling capabilities of substations across both cloud and edge computing platforms for future computational demands the third pillar is centered on developing a modular and scalable substation architecture that incorporates advanced monitoring protection and control through digital twinningto ensure the efficacy and readiness of these technologies estelar will conduct rigorous validations in two virtualization testing laboratories located in spain and the netherlands these facilities will allow for realistic controlled testing environments to refine and perfect the technologies prior to widespread implementationthe project unites nine partners from four eu countries combining expertise from research centers technology providers and distribution system operators to comprehensively approach substation virtualization estelar facilitates renewable energy integration bolsters grid resilience and supports wider electrification this positions it as a key player in accelerating the eus transition to a climateneutral economy