Dragon09/odtu_chatbot huggingface dataset:
exoplanets and belts of exocomets around nearby stars

the conditions for the origin of life on earthlike planets are developed during the last steps of planet formation when the planetary system is 10 to a few hundred million years old of crucial importance are basic feedstock volatile molecules for prebiotic chemistry which could be absent from terrestrial planets that may have formed dry the goal of ebeans is to study exoplanets and belts of exocomets around nearby stars to understand their potential to affect the presence of volatiles on terrestrial planets exocometary belts in the cold outer reaches of planetary systems represent the volatile ice reservoir outer neptunelike exoplanets can interact with them to send exocomets inwards enabling volatile delivery to temperate terrestrial planets meanwhile terrestrial planets continue to grow through giant impacts massive collisions that can strip off their atmospheres affecting their composition ebeans will study these processes to enable major steps forward on several fronts it will carry out a multiwavelength exploration of the composition of exocomets in the terrestrial planet formation epoch enhanced by the first model of the chemical evolution of exocometary gas and it will link the derived compositions to exocomet formation locations through population synthesis models applied to imaging survey data ebeans will also study the diversity of planetinduced structure in exocometary belts a signature of the planetexocomet interaction necessary to scatter exocomets inwards and will test an ambitious longterm plan to directly detect these neptune analogs through groundbased mmradio astrometry with future radio observatories finally the program will explore the composition and mass of impacting terrestrial planets through the gas and dust they release as postimpact debris
improved plasminogen activator based on cerium oxide nanoparticles for thrombolysis in ischemic stroke

ischemic stroke is the second cause of death worldwide recombinant tissue plasminogen activator rtpa is the only approved therapeutic agent however stroke patients often suffer from hemorrhages caused by oxidative stress leading to high immobility rates the project conducted at universit paris cit is at the crosssection of material science and nanomedicine it aims to develop a nanomedicine for clot targeting dissolution and antioxidant therapy to treat ischemic stroke against oxidative stress combining the robust antioxidant activity of the cerium oxide nanoparticles cenps with the clinicalproven rtpa as a delivery vector the novel nanomedicine will find its potential application for the care of stroke patients and beyond cenps will be optimized to achieve the maximum antioxidant activity it will be assembled with polymers and rtpa to preserve circulation time and delivery efficiency the nanoassembly will be evaluated against oxidative stress and clot dissolution efficiency the project combines the researchers experiences in developing advanced nanomaterials and the hosts expertise in translating nanomaterials from synthesis to preclinical studies the project targets treating noncommunicable diseases relevant to the health pillar of the horizon europe programme and the emphasis on developing advanced materials by european commission it shows a great impact in helping people suffering from the high risks of already approved medication the project will enable the researcher to acquire professional maturity related to nanomedicine development the dissemination of results producing multiple publications in peerreviewed journals talks at scientific meetings and outreach to the general public about the development of the novel antioxidantrelated stroke treatment is very probable with the completion of this project it also creates a potential platform for the scaling process of nanomedicine through collaboration with industrial partners
distributed learning based on 1bit gradient coding

in the framework of distributed learning to mitigate the negative impact of the stragglers on the training time the gradient coding gc technique has been adopted on the other hand to deal with high communication burden in distributed learning 1bit gradient vectors can be transmitted instead of realvalued ones however the existing distributed learning method based on 1bit data does not take stragglers into account in addition current gc techniques are only designed for the distributed learning scheme where realvalued encoded vectors are transmitted and it is difficult to apply them under the case where 1bit vectors are transmitted to overcome the above drawbacks and to reduce the communication overhead and the training time simultaneously this project aims to propose novel distributed learning methods based on gc with 1bit data first this project will propose a distributed learning method named 1bit gcdl which develops a 1bit gc strategy to encode the locally computed gradient vectors of the allocated subsets into 1bit data based on that the aggregation rule at the central server for the received 1bit data will be designed which guarantees that the central server computes an approximated version of the true gradient vector in the presence of a certain number of stragglers to second to further reduce the training time of 1bit gcdl this project will propose a lazily aggregated distributed learning method based on 1bit gc ie 1bit lagcdl by combining 1bit gcdl with the lazily aggregated strategy in 1bit lagcdl only a fraction of the workers participate in local training during each iteration and this project will provide the criterion for selecting the participating workers based on age of information the proposed methods will be compared with other stateoftheart methods in the context of distributed learning on both simulated and realistic datasets under practical scenarios
discovering and analyzing visual structures

the goal of this project is to shift the dominant paradigm of learningbased computer vision instead of systems attempting to replace human interpretation by providing predictions we will develop approaches to assist experts in identifying and analyzing patterns indeed while the success of deep learning on visual data is undeniable applications are often limited to the supervised learning scenario where the algorithm tries to infer a label for a new image based on the annotations made by experts in a reference dataset in contrast we will take as input images without any annotation automatically identify consistent patterns and model their variation and evolution so that an expert can more easily analyze themi will introduce and develop the concept of visual structures their key features will be their interpretability in terms of correspondences deformations or properties of the observed images and their ability to incorporate prior knowledge about the data and expert feedback i propose two complementary approaches to formally define and identify visual structures one based on analyzing correspondences the other on learning interpretable image modelswe will develop visual structures in two domains in which breakthrough progress will open up new scientific discoveries historical documents and earth imagery for example from temporal series of multispectral earth images we will identify types of moving objects areas with different types of vegetation or constructions and model the evolution of their characteristics which may correspond to changes in their activity or life cycle ultimately experts will still be needed to select relevant visual structures and perform analysis but discover will revolutionize their work trivializing tedious annotation tasks and even allowing them to work on issues they would have been hardpressed to identify in the raw data
shades of bullying studying heterogeneity and adjustment in different environments

shades holds great potential for scientific breakthroughs in unravelling the complexities of school bullying by advancing the understanding of heterogeneous youth who bully their peers and persistent bullying genetic underpinnings behind them and lifecourse of different types of bullies this will help develop targeted interventions to tackle bullying more efficiently and thus prevent longlasting suffering of victimized youth and mitigate consequences for bulliesin order to move the field forward there is an urgent need to shift from studying average effects of bullying or bullies as a homogenous group towards inspecting subtypes among youth tormenting their peers shades addresses gaps in the literature through four objectives first it will build a comprehensive understanding of characteristics motives and social cognitions of heterogeneous bullies wp1 second by systematically assessing persistent bullying it will draw a nuanced picture of factors influencing continuance and discontinuance of bullying wp2 third it will reveal the underlying polygenic factors contributing to heterogeneity among perpetrators and persistent bullying wp3 fourth it will construct a holistic view of how different types of bullies adapt to various areas of life eg work relationships as they transition into adulthood and how genetic factors influence the adjustment wp4 shades will 1 develop two novel instruments a mobile test of implicit attitudes and motives and an eyetracking experiment of social cognitions 2 collect new data self and peerreports experimental data and 3 combine existing data into a globally unique longitudinal dataset survey in childhood adolescence and adulthood genetic data register data from the same individuals this enables drawing a comprehensive picture of different types of bullies and persistent bullying at the genetic level in the shortterm through middle school and in the long term up to adulthood
deformation theory of infinitetype hyperbolic manifolds

hyperbolic geometry and its connection to 3dimensional geometry have been a key topic in contemporary mathematics leading for instance to the resolution of the poincae conjecture 2006 and to the fields medals awarded to thurston 1982 mcmullen 1998 perelman 2006 declined and mirzakhani 2014 the project will enter the unexplored territory that opens when removing this fundamental hypothesis specifically the pi plans to attack the very challenging problem of understanding the space of hyperbolic metrics on 3manifolds that have a nonfinitely generated fundamental group the project lies at the intersection between the study of the topology and geometry of hyperbolic 3manifolds and is wellsuited to the complementary expertise of the pi and his supervisor professor schlenker the pi being an expert of the topology of infinitetype 3manifolds and the supervisor being an expert in hyperbolic geometry an essential aspect of this research program is understanding the interplay between the topology and the geometry of infinitetype hyperbolic manifolds with the goal to borrow insights from each side to address issues in the other one of the first objectives is to understand by looking at topological properties how much of the rich theory of the finitetype setting extends to the case where the fundamental group is not finitely generated the second objective is more geometric and plans to study infinitetype 3manifolds by seeing them as geometric limits of finitetype hyperbolic 3manifolds and looking at which geometric or topological aspects survive in the limit the second part of the project will involve under the direction of professor krasnov is to investigate the adscft correspondence an important conjectural relationship linking quantum gravity formulated as mtheory in m and conformal field theories cft in the boundary of m using tools from hyperbolic geometry eg renormalised volume
particle resolving fluidsediment interaction

climate change leads to increased frequency and magnitude of flash flood events in rivers and of storm surges in coastal areas flash floods are associated with larger discharges and water levels whereas storm surges are characterized by higher wave heights and water levels these events have significant consequences for both rivers and coastlines triggering a morphodynamic response resulting erosion and soil mechanical failures can result in severe damage to civil infrastructure and buildings there is a knowledge gap that connects the hydraulic hydrodynamic and geotechnical aspects of environmental loading due to current wave action as well as sediment and soil response respectively with the increased likelihood of extreme weather events there is an urgent need to study coastal morphology and mitigation approaches from a multidisciplinary physicsbased perspectiverepresenting the interconnected processes of current waves sediment transport and soil deformation constitutes an interdisciplinary challenge in the current project particle based sediment transport models are created that take a significant step towards a realistic representation of these processes the missing link between the individual modules will be developed bridging the confinements of the disciplines of hydraulic coastal and geotechnical engineering with heavy use of advanced computational fluid and solid mechanics the multiscale nature of extreme hydrodynamic events and their interaction with sediment and soil particle physics will be solved through a holistic multiscale numerical framework the proposed research lays the foundation for taking a significant step in sediment transport research that is required for dealing with current and future challenges arising from climate change innovative solutions to extreme weather event impact in the coastal estuarine and riverine environments can be rapidly proposed and verified using the current numerical modeling strategy
fake news risk mitigator

online social networks news media and web platforms are the way contemporary societies operate for communication information exchange business cocreation learning and knowledge acquisition however the veracity of information circulating in the digital world is often in dispute indeed disinformation and fake news dfn increasingly affect and distort public opinion national governments and supranational institutions recognize the spread of dfn as a pernicious social problem indeed the diffusion online of dfn may have severe consequences first the spread of dfn might infuse uncertainty and fear intensify the crisis situations weaken the european societies aggravating their divisions in turn the increase in divisions and fear leads to episodes of physical violence offline and other hate crimes as such dfn have the power to polarise public debates and put the health security and environment of eu citizens at risk finally the use of fake accounts the involvement of aigenerated fake content and the use of bots that can spread dfn at scale pose additional problems fermi will exploit a holistic and crossdisciplinary methodology towards a framework that will thoroughly analyse dfn and their sources in combination with all the socioeconomic factors that may affect both the spreading of such incidents and their effects on multiple dimensions of society comprising a set of innovative technological developments fermi will facilitate eu police authorities to detect and monitor the way that dfn spread both in terms of locations and within different segments of the society and to put in place relevant security countermeasures it will produce and diffuse tailormade training material designed for i european police authorities ii other professionals and stakeholders iii eu citizens for combating the spread and limiting the impact of dfn and increasing digital trust
tailoring extended reality to industrys needs

why is gutenberg considered as the inventor of printing because he popularised a process tailored at contemporary needs taking advantage of a technical background and enabling a dramatic empowerment of knowledge sharingxr2industry will be the gutenberg of xr its priorities are data privacy empowerment industrial relevance opennessto this extent lynx hardware platform carrier gathered key partners alongside with upv project coordinator to address these issues towards an open platformi a research group upv specialised in technological solutions acceptance impact on workers delivering key insights in building the right platform ii a group of lawyers lml delivering key insights in ensuring gdpr compliance and related best practices along with iii companies excelling in developing compliant and relevant content while mastering the technology alt ssq iv an expert partner in large scale delivery of vrxr solutions tkp ensuring no hurdle impairs a full industrial empowerment while industrial expectations and needs are brought by v end users gfp as partners and further through xr2industrys advisory board in addition fba and fbc will provide a critical support in operating cascade fundings these laters will empower stakeholders in technology structuration on xr platform bring complementary insights on standardisation and empower industrial users on the humancentric framework bringing xr to industry will be possible only when the full value chain is considered knowledge holders technology providers and integrators distributors endusers as in xr2industry moreover openness is key to enable empowerment while not precluding partners and thirdparties exploitationxr2industry will gather 9 partners support 12 third parties and through advisory board and clustering activities will leverage impact all over europe the foreseen direct turnover is estimated at several hundreds m with even larger indirect impacts on endusers
from next generation sequencing microorganisms towards ecofriendly biotech based products

biotechnology develops and applies microorganisms for the production of bioproducts with industrial interest nextgenerationsequencing ngs plays an increasingly important role in improving and accelerating microbial strain development for existing and novel bioproducts via screening gene and pathway discovery metabolic engineering and additional optimization and understanding of largescale manufacturing ngs technologies have become main stream due to an important reduction in costs and an increase in sequence quality however data analysis still requires substantial bioinformatics expertise and adaptation to specific purposes due to the large datasets data management and infrastructure supporting an ngs research facility these challenges are particularly relevant in the research centers of the widening countries such as the case of the centre of biotechnology of sfax cbs in tunisia in line with eu orientations and twinning requirements ngs4ecoprod aims to i improve creativity excellence capacity and resources ii raise the reputation research profile and attractiveness and iii strength research management capacities and administrative skills in the cbs through addressing the existing gaps in the field of ngs ngs4ecoprod project will allow cbs to exploit its ngs platform to develop original biotechnology products extremozymes sporeless biopesticides antioxidantergothioneine and bioplastics useful as ecofriendly alternative to chemicals ones this will be achieved thanks to the tight collaboration and networking activities staff exchanges workshops conferences training young researchers and summer school activities between the cbs and two leading well renowned research eu partners in the field of ngs namely the university claude bernard lyon 1 in france and the georg august university of göttingen in germany the ngs4ecoprod will ultimately adopt an integrated communication and dissemination strategy with openness on the socioeconomic sectors
electronic mesoscale modeling of organic mixed conductors

the promise of organic materials as biological sensors electrodes and memristive devices creates outstanding opportunities for medical diagnosis and treatment energy storage as well as neuromorphic computing at the core of these applications are organic polymers that efficiently support both ionic and electronic transport and therefore are called organic mixed ionicelectronic conductors these materials enabling feature is their ability to convert ionic currents into electronic signals and vice versa however our understanding of these materials is incomplete and the molecular mechanisms underpinning their properties remain elusive in mixconductors i will describe and characterize mixed ionicelectronic conductors using machine learningenhanced multiscale simulations to unravel molecular mechanisms and identify material design guidelines i propose to use specific machine learning surrogate models to develop a new multiscale method with dramatically increased computational efficiency unlocking the possibility of bottomup simulations able to predict devicescale properties the proposed multiscale method will be used to characterize in silico the growing library of organic mixed conductors allowing me to uncover their common andor unique strengths and discover material design guidelines finally together with experimental collaborators i will be in the position to unravel the molecular mechanisms underpinning some of mixed conductors unique properties enabling me to formulate applicationtargeted material design guidelines in summary mixconductors will provide detailed and unprecedented understanding of the molecular mechanisms behind the functioning of emerging organic mixed ionicelectronic conductors thereby informing the rational design of improved materials with ramifications for the development of devices that improve health and wellbeing and enable a future with clean and affordable energy
scaling the largest vpp made of evs

deftpower will develop bring to market and scale across europe an innovative plugandplay virtual power plant of electric vehicles to its customers deftpower offers a saas platform as a white label charging app for normal and smart charging connecting ev drivers to charge points and energy markets in europe the platform can influence the charging cycle enabling demand response and peakshaving which will make grid management for dsos and tsos more cost efficient through developing the platform with a machinelearning based forecasting model deftpower can extract and trade flexibility from evs grid operators can access this flexibility and use it to maintain a stable and reliable grid ev owners can monetize their vehicles by providing them for grid balancing being rewarded through deftpowers service by ensuring that evs are not only a cleaner mode of transportation but also a key player in providing flexibility to the grid deftpower is helping to accelerate the transition to a more sustainable future by reducing the costs of evs avoiding costly grid investments and shifting the demand of electricity to moments in the day where electricity is cleaner the latter will also improve the roi on green energy investments such as wind and solar power generation