Dragon09/odtu_chatbot huggingface dataset:
attitudes towards intimate partner violence against women from neural networks to daily life experience

one in three women worldwide has been subjected to either physical andor sexual intimate partner violence in their lifetime by understanding what the roots of intimate partner violence against women ipvaw are and how it manifests as a pattern of behaviour we might be able to prevent and counteract this violence attitudes toward ipvaw significantly shape interpersonal behaviours and societal reactions acting as a factor that contributes to the risk of committing violence yet despite first research it remains unclear how these attitudes are instantiated on a neuronal level and how they shape our daily emotional experience and behaviour the overall goal of the research program neuroipvaw is to provide an explanatory theory of the neural underpinnings mediating attitudes towards ipvaw and a predictive quantitative model capturing this theory towards this goal neuroipvaw will introduce an innovative neuroscientific approach first neuroipvaw will reveal the neural foundations underlying ipvaw attitudes in relation to emotional processing in the mature brain second it will unravel the link between the neural foundation and dailylife experience for maximal efficiency and power in unified theory formation and model building neuroipvaw will employ an integrated interdisciplinary research strategy that combines a largescale noninvasive brain imaging to capture neural underpinnings of ipvaw attitudes b experience sampling assessing dailylife experience in an ecologically valid setting c advanced computational modelling using representational similarity analysis to build a predictive quantitative model of dailylife emotional experience and behaviour through this orchestrated effort neuroipvaw will provide the empirical pieces of evidence for a new theory and model of the neural basis mediating ipvaw attitudes thereby enhancing ipvaw prevention efforts challenging our societal norms and contributing to the progression of gender equality
global assessment of plant photosynthesis optimization for climate change versus enhanced plant productivity

millions of years of evolution have produced extraordinary adaptations and solutions for plants to face the naturally excessive solar energy which commonly cannot be fully utilized by the light harvesting pigments of leaves to find a balance between the harvesting of and the protection against the solar radiation conditions all plants employ flexible thermal or nonphotochemical energy dissipation mechanisms yet inherent capacities for these flexible dissipation mechanisms differ between plant species and can change along seasonal conditions but also shortterm physiological strain of the plants the optimized balance between the photochemical and nonphotochemical energy pathways of absorbed radiation is a very dynamic concept which remains physically poorly understood deriving these energy components and assessing them in a global context would greatly advance our knowledge on the basic energy functioning of vegetation making room for possible improvements in food production or understand required capacities to cope with climatic changes with the ambition to quantify actual photosynthesis from space for agricultural management units esa will launch in 2024 the fluorescence explorer flex as 8th earth explorer mission equipped with a novel sensor payload dedicated to the retrieval of solarinduced fluorescence and the reflectance at a highspectral resolution this proposal named photoflux will take a novel approach to spectrally disentangle the photochemical and nonphotochemical components of harvested light building on a quantitative understanding of the energy partitioning within the light reactions not only will this strategy serve a bottomup conceptual understanding of the photosynthetic light harvesting at global scale it will also bring the possibilities to quantitatively assess productivity under the climatic constraints and the need to dissipate the excess energy to keep photosynthesis at optimal rates
correcting for self the impact of head motion on visual processing and behaviour

an organisms survival depends on accurately perceiving and interpreting the environment a significant part of our visual stimulations is however generated by our own actions rather than external events for example the retina can experience similar visual stimulus driven by headmovement or by a moving object therefore selfmotion related information is fundamental to contextualize visual stimuli in other words what the eye sees may not be what our brain perceives depending on our actions in mammals the vestibular system reports both the motion and orientation of the head very little is known about the pathways connecting the vestibular system to visual cortical areas and how this signal is integrated with external visual stimuli to ultimately impact behaviour the goal of this project is to unravel the neuronal circuits underlying visual processing during selfmotion in mice thereby providing new insights in sensory processing to this aim i will address the following questions 1 what is the longrange and local connectivity of neurons modulated by head rotation in v1 2 what are the circuit mechanisms and neuronal computations involved in the integration of selfmotion related signals with visual inputs in v1 3 how do head motion inputs to v1 influence visuallyguided actions during behaviour achieving these goals relies on a multidisciplinary experimental strategy based on cuttingedge approaches to monitor and control circuit activity with high spatiotemporal resolution in a celltype specific manner neuroanatomical tracing and computational modelling this experimental strategy combined with my research background in visual and vestibular systems provides a unique opportunity to understand unexplored aspects of sensory processing at both the cellular and systems levels altogether this project will reveal a novel framework to understand how sensory processing operates during selfmotion to guide behaviour
next generation polymyxin antibiotics optimization and validation

in the nova erc poc project we present a novel class of semisynthetic polymyxins as an innovative solution to address the inherent toxicity of the polymyxins family of antibiotics we here disclose the first candidate compounds of this novel family of antibiotics with potential for use as frontline treatment for multidrugresistant gramnegative bacterial infectionsdue to antimicrobial resistance amr a resurgence in the use of polymyxin antibiotics has occurred over the last decade despite the well characterised and doselimiting nephrotoxicity associated with these compounds though designated as lastresort antibiotics due to these side effects the ongoing rise of amr is forcing clinicians to rely on unsafe antibiotics such as the polymyxins increased polymyxin use results in risks for patients and pressure on healthcare systemsour novel semisynthetic polymyxins have bestinclass potential given their significantly improved safety profile and offer a superior alternative to current lastresort antigramnegative antibiotics succinctly the next generation polymyxins we have developed offer key advantages over current lastresort antibiotics i reduced nephrotoxic side effects ii effectiveness against multiresistant strains with negligible resistance induction and iii ability to be produced at low cost moreover our robust semisynthetic approach will allow us to generate additional analogues in the futurein nova we will explore the technical and commercial potential of our next generation polymyxins specifically we will validate the first candidate compounds and perform preliminary preclinical toxicity studies in vivo in parallel we will evaluate the commercial feasibility of the next generation polymyxins this entails analysing the market and existing and emerging competitors as well as the ip position and strategy by the end of the project we will consolidate the project outcomes in an investorready business plan
spatiotemporal control of singlet oxygen release from supramolecular hydrogels to improve cancer therapy

this research aims to develop novel supramolecular hydrogels and study their application as singlet oxygen 1o2 carriers in medicine 1o2 generated invivo through photochemistry has been used to treat a variety of ailments including bacterial infections acne and several types of cancer though promising this approach suffers from drawbacks such as diminished effectiveness in hypoxic conditions both native and induced and lack of control over the total concentration and dosage of active 1o2 recently endoperoxides epo have been identified as a potential solution for those as they are selfcontained sources of 1o2 produced exsitu however they still do not allow for precise spatiotemporal control of 1o2 release which is desirable to maximize for effectiveness of the treatment grafting epos on solid supports has been explored as a solution but the stateoftheart materials rely on complicated supports with low epo loadings and thermal release mechanisms herein we propose a new strategy for spatiotemporal control of 1o2 through the unprecedented use of hydrogels as epo carriers hydrogels offer an easy to control and stable but not persistent matrix in which the main component is water the otho oxotriphenylhexanoate hydrogels enjoy unparalleled modularity due to their highly robust and selective multicomponent onepot synthesis thus we will synthesize a range of othos containing epo units and perform detailed studies by rheology solidstate nmr smallangle xray and neutron scattering and electron microscopy to understand the properties and behavior of the resulting hydrogels the biocompatibility and cytotoxic profile of the materials will be investigated against yeast cells expressing human disease markers this will pave the way for a new breed of supramolecular pharmacology materials for 1o2 therapy against cancer
circularity and remanufacturingenabling digital twins

the credit project will address current challenges in circular remanufacturing by adopting a humancentred innovation approach focusing on the digitalisation of assets a creating multilayered digital twins b and developing an opensourcebased distributed ict platform c allowing seamless data management and complex dt implementation additionally a range of remanufacturingenabling digital services d including aibased decision support systems dltbased traceability and quality control predictive maintenance and general support tools for remanufacturing operations such as augmented reality will be integrated alongside these technologies and tools a comprehensive upskilling and education methodology e will be developed to ensure the appropriate level of maturity at the factory site five diverse business cases in the white goods telecommunications aerospace and automotive sectors have been designed based on their relevance and potential for broad impact these use cases will be cocreated with stakeholders in line with the social innovation methodology to ensure that the specific objectives and technologies are aligned with end users needs by providing an operational environment these use cases will serve as the foundation for achieving the final trl7 and demonstrating the platforms adaptability and potential for deployment in various industrial sectors this will be consolidated through a scaled replicability study the projects farreaching impact will touch a wide set of target groups leading to a more sustainable efficient and socially responsible future for the manufacturing industry credit will generate economic benefits such as increased efficiency reduced production costs and enhanced competitiveness while addressing environmental concerns by reducing waste lowering carbon emissions and minimizing raw material consumption in line with the eus green manufacturing and sustainability targets
beyond the current improving european flowing waters in an era of global change

beyond will train the next generation of water professionals who will deliver scientific and technological innovation acrossdisciplines institutions and countries needed to solve european water quality problems in an era of global change in the last decade someimprovement in understanding of water pollution has been achieved but there are still significant knowledge gaps especially in thecontext of climate change and emerging contaminants coupled with a lack of systems approach and operational tools required bywater management to address water quality pressures we need to better target heterogeneity in the landwater continuumaccounting for recipientspecific sensitivity to pollution pressures and the spatial and temporal variation in sources pathways andimpacts on stream ecology and ecosystem services now and under future climatic conditions beyond will equip researchers withcritical technical and communication skills needed to provide evidencebased management of landscapes and river networks undercurrent and future conditions they will gain expertise in interdisciplinary catchment science novel highresolution water qualitysensors and models gain access to cuttingedge water quality instrumentation in experimental catchments in europe and throughsecondments to smes and skills in citizen science beyond researchers will become leaders in innovation and knowledge exchangeneeded to achieve water quality improvements through effective interactions with public and private stakeholders duringsecondments and short visits
accelerate sustainable enabling of oxygen evolution reaction catalyst for water electrolysis

large scale synthesis of efficient durable and environmentally friendly electrocatalysts is key for commercialization of proton exchange membrane water electrolysis pemwe which is a vital route for renewable h2 production stateoftheart pemwe is limited by the high price of the electrocatalysts which are composed of ir pt and ru 40 of fabrication costs of pemwe against this background the project able oer aims to develop characterize and electrochemically evaluate lowcost and upscale supported electrocatalysts from commercial and recycled precursors using microwave continuous flow synthesis mwcfs the specific objectives of able oer are to provide proofofconcepts on i synthesis of active and robust supportedoer catalyst which reduces ir loading by 80 at equivalent activity ii incorporation of abundant nano ceramics as support material and secondary pgms for oer catalyst to reduce material cost by 70 iii an upscalable continuous oer catalyst synthesis process which lowers the production cost by 50 the novel catalyst structure and the associated synthesis process will accelerate technological advancement and societal adoption of the pemwe technology my experience in inorganic materials and electrochemistry combined with the expertise of the host group in electrocatalysis for water splitting and recycling will synergistically contribute to achieving the ambitious aims of this project which will be implemented at the university of southern denmark i will learn new techniques in upscale production of catalysts mature my skills as an independent researcher and increase my network to nurture international collaborations the results of this project have the potential to greatly reduce the cost of h2 generated from renewable sources and thus transform the european and global energy sector
a perturbative approach to model retinal processing of natural scenes

a major goal of sensory neuroscience is to understand how sensory neurons process natural scenes models built from the responses of sensory neurons to simple stimuli do not generalize to predict how complex natural scene are processed even as early as in the retina this issue is not solved deep network models have been proposed to predict the responses of visual neurons to natural stimuli however they are still far from being a realistic model of the visual system first the sensitivity to perturbations of the stimulus can thus be very different for a deep network model and for our visual system second it is not clear how the model components can be related to actual mechanisms in the brain our purpose is to understand how the retina processes natural scenes we will follow an interdisciplinary approach where we will build realistic deep network models of retinal processing and test them in experiments we will develop deep network models that can predict ganglion cell responses to natural stimuli and map the components of these models to specific cell types in the retinal network our project is original because it will use two novel methods that will be key to achieve our goal the first one is a novel approach to characterize retinal function where we will probe the selectivity of the retina to perturbations of natural stimuli the second one is a novel tool based on 2photon holographic stimulation to decompose the retinal circuit they are tailored to address the specific issues of deep networks each ganglion cell has a receptive field center the region of visual space whose stimulation evokes the strongest responses our project is divided in three parts we will first understand how natural images are integrated inside the receptive field center we will then ask how stimulation outside the receptive field center affects ganglion cell processing of natural images finally we will focus on motion processing during natural scene stimulation
virtual reality emotion training tool

the erc starting grant project copan 804582 is an innovative interdisciplinary crossboundary project in the project we study the function underlying neurophysiological mechanisms development and evolution of emotional expressions which has shown us that emotions play a pivotal role in daily life in humans and great apes alike we also show that emotional expressions in real life are more complex than the acted expressions used in emotion research or applications i here propose to build on the fundamental knowledge and develop a virtual reality training tool targeting the broader public and clinical populations
coherent spintronic networks for neuromorphic computing

neuromorphic computing uses networks of artificial neurons highly interconnected by artificial synapses to perform vast data processing tasks with unmatched efficiency as needed for instance for pattern recognition or autonomous driving tasks the synaptic connections play a paramount role to create better hardware realizations of these networks however it is very complex to realize large interconnectivity by electronic circuitry cospin overcomes this connectivity constraint by using the eigenexcitations of the magnetic system the spin waves to connect stateoftheart artificial neurons based on spintronic autooscillators cospins main goal is to create and experimentally validate innovative physical building blocks for a novel nanoscaled allspintronic network structure which incorporates all necessary properties for neuromorphic computing including high nonlinearity interconnectivity and reprogrammability by design cospin works at the boundary between oscillatorbased computing and wavebased computing it uses interference frequencymultiplexing and timemodulation techniques as well as spinwave amplification to significantly increase the connectivity between neurons reprogramming of the network is implemented by a direct physical link to magnetic memory solutions as well as by reconfiguring spinwave circuits by using coherent wave interference and nonlinear wave interaction cospin paves the way for novel coupling phenomena for complex artificial neural networks far beyond the stateoftheart of current hardware realizations using cuttingedge micromagnetic simulations enhanced by inverse design methods the artificial networks will be designed and tested prior to their nanofabrication experimental investigations will be mainly carried out using microfocus brillouin light scattering this allows for local investigation of the individual neurons and synapses and significantly simplifies the interpretation of the network dynamics
tracing the flux of cosmic dust arriving to earth during the phanerozoic

for the last 45 billion years extraterrestrial et materials have continuously bombarded the earth today the solar system debris that reaches the earths surface is dominated by particles less than 2 mm in size termed micrometeorites mms until recently the established misconception was that these mms did not survive geological timescales limiting reconstructions of the dust flux through time that are currently based on finding rare relict mineral phases or applying geochemical tools eg ir contents 3he isotope ratios following a successful proofofconcept study on a late devonian section flux proposes first to extract fossil mms from selected stratigraphic intervals across the phanerozoic to document their characteristics and origin and second to use them as a novel highresolution proxy to better understand the dynamical interactions between the solar system and earth as such fossil mms may serve as an alternative new source of information on solar system processes complementary to classic meteorites by combining expertise in meteoritics geochemistry and chemostratigraphy flux addresses the following questions 1 how did the flux of cosmic dust evolve during the phanerozoic 2 can stratigraphic intervals marked by a dramatic increase in the mass of cosmic dust accreting to the earth be identified 3 do increased et flux events reflect asteroid familyforming events in the asteroid belt between mars and jupiter and are they influenced by changes in the shape of earths orbit 4 can oxidized ironrich mms be used to reconstruct the gross primary productivity or atmospheric co2 levels of the deep past 5 did et flux fluctuations affect the global earth environment for example through ocean fertilization ultimately flux will better position the earth in the context of a dynamic solar system and constrain the causes and consequences of the variations in the flux of cosmic dust to earth
society and culture climate change and environmental challenges health artificial intelligence doc

schadoc stemmed of regional actors will to attract promising earlystage researchers esr to the southeast region of france by offering them an interdisciplinary intersectoral and international training program of excellence schadoc is an essential buildingblock in the larger transformation strategy of amus graduate education it aims to recruit 40 esrs for 36month thesis projects two calls for candidates will be launched during the first 2 years of the program which will be spread over five years applicants will be selected through a rigorous transparent open and meritbased selection process involving various independent national and international experts the selection process offers the possibility to grant bottomup thesis projects proposed by the esr as well as topdown projects proposed to the supervisors esrs will follow a training program both on research skills and on nonresearch oriented transferable skills they will perform secondments both with a socioeconomic and cultural partner and with an international partner civis alliance will be an asset to implement this international dimension of schadoc this ambitious doctoral training program will improve the employability of the esrs its success will be measured by the excellence of the research projects it will generate in strategic domains for the region the partnerships it will develop with the nonacademic sector and the attraction of a large number of international talented researchers at the aixmarseille site the scientific scope of schadoc covers four thematic crosscutting and interdisciplinary research axes which are in line with the priorities of the sud region societies and culture climate change and environmental challenges health and wellbeing artificial intelligence and its applications