Dragon09/odtu_chatbot huggingface dataset:
nonlinear partial differential equations describing front propagation geometric variational problems and singularities

this project will focus on some issues regarding front propagation in reactiondiffusion systems geometrical problems with a variational structure and solutions of elliptic and parabolic problems exhibiting singularities these are important problems in the vast field of nonlinear partial differential equations which are motivated by physics and biology the first part of the project will be devoted to the study of reactiondiffusion systems an important type of solutions for these systems are fronts which in many situations play a distinctive role in the longtime dynamics however these issues are not well understood for some important classes of reactiondiffusion systems due to the nonapplicability of the more standard and widely used mathematical tools our purpose will be to fill this gap the second part will be devoted to several problems in geometry these problems are formulated within the framework of geometric measure theory gmt and can be understood through a pde approximation of allencahn or ginzburglandau type following this approach we will tackle several of these problems which remain unsolved and the outcome will be of interest to both the geometry and the pde communities the third part also intimately related to gmt will be centered on the classical topic of singularities of harmonic maps and ginzburglandau equations we will study the existence of new types of solutions with distinguished behavior the second and the third part of the project are intimately interconnected and their interactions have been explored for a long time however the project also aims at establishing new relations between the first and third part whose interactions have not been studied in depth so far the project is autonomous but it has been enriched by several collaborators the role of prof orlandi as supervisor is particularly adapted to the projects purposes and it will be crucial for its correct and effective development
hostvirus interactions in marine diatoms across environmental and ecophysiological gradients

diatoms shape the global carbon cycle contributing 20 of primary production on the planet and nearly half of the carbon sequestration in the ocean marine viruses transform ecological evolutionary and biogeochemical processes yet the impact of viral infection on diatoms remains a fundamental gap in our understanding of microbial dynamics in the ocean the landmark discovery of diatominfecting viruses together with advances in high throughput sequencing and imaging technologies now enable the exploration of diatom hostvirus interactions at unprecedented resolution we know very little about when where and how viruses impact diatom populations despite the potential for viral infection to radically alter diatom ecology and diatommediated biogeochemistry proposed work seeks to elucidate how virus infection of diatoms manifests along environmental and ecophysiological gradients in the ocean our team will pursue three complementary aims 1 characterize the impacts of environmental stress on virus production and virusmediated mortality in diatoms 2 determine the ecophysiological frameworks that drive diatom hostvirus dynamics 3 capture and contextualize diverse hostvirus interactions throughout a diatom bloom using a multitiered and interdisciplinary approach that draws upon molecular biology biogeochemistry and biological oceanography we will interrogate diatom hostvirus interactions across environmental gradients in model systems and natural communities amidst the urgency to decipher how ocean processes respond to global climate change interdive will provide invaluable ecological ecophysiological and molecular insight into how environmental conditions regulate diatom hostvirus interactions advancing our understanding of the microscale dynamics that underpin primary production and biogeochemical cycling in the global ocean
development of hybrid tipenhanced irraman microscopy for the study of molecular optomechanical upconversion

optical control of mechanical oscillators of widely different dimensions are all described by the same cavity optomechanics interaction between phonons and photons inside a cavity in the previous decades various research groups leveraged on this interaction to cool the mechanical oscillators to its groundstate and to produce and detect quantum states of lightthe applicant wants to take advantage of mechanical modes that are deeply in their ground state at room temperature namely vibrational modes of molecules with resonance frequencies in the ir to thz frequency range between 1100 thz to explore the novel molecular optomechanical frequency conversion process momc the key idea of the process consists in upconverting a weak ir signal into the visible domain via molecules with modes both raman and ir active placed onto metallic nanoantennas opening the whole toolbox of visible field manipulation and detection to electromagnetic fields in the ir range the goal of terramoon is to study the momc process with a hybrid nearfield microscope where the nearfield probe metallic atomic force microscopy afm tip takes over the role of one of the antennas in the nearfield microscopy approach the tipantenna configuration can be tuned insitu offering unprecedented versatility to the momc process and enabling to access fundamental insights that would be inaccessible to typically studied onchip devices momc could also lead to a new modality of nearfield microscopy where ir modes could be imaged with nanoscale spatial resolution and with exceptional sensitivity by making use of the frequency conversion process the molecular layers studied during the project will finally enable the first unambiguous measurements of vibrational strong coupling via a raman experiment as such terramoon promises to open novel enticing fundamental and technological research directions and to have a longstanding impact in the field
learning a universal similarity function

multimedia content is indispensable in our society necessitating effective content management a critical aspect of this is assessing the similarity between two multimedia items like images videos and documents lusts mission is to pioneer a universal similarity function capable of precisely measuring similarity across a broad spectrum of multimedia domains and tasks diverging from traditional problemspecific approaches prevalent in current literature lust adopts a novel strategy lust plans to break down multimedia items into their constituent parts including image regions video frames and text sentences subsequently a foundational model will be trained on input data comprising part similarities across various multimedia items this strategic choice yields a universal input space with multiple advantages firstly it promotes seamless collaboration across different domains and tasks facilitating joint training and mutual enhancement among tasks which will be further enriched through multitask learning techniques secondly it streamlines the integration of synthetic data during training a key ingredient for largescale training of a foundational model the model architecture is grounded in transformerbased deep learning modules and will be fortified by pioneering positional encodings rooted in kernel methods these positional encodings empower us to effectively manage the differing part topologies encountered across diverse domains a formidable challenge in itself the work program commences by focusing on a single domain and task but is thoughtfully designed for extensibility the ultimate goal is creating a foundational model capable of accommodating all modalities visual audio text and supporting a broad range of similarity types including unimodal crossmodal and multimodal scenarios lusts commitment to universality will be thoroughly validated through comprehensive benchmarking spanning numerous tasks and domains
saving cardiac arrest patients with hypothermic lung conservative liquid ventilation

orixha offers a major clinical breakthrough in critical care with its unique lung conservative liquid ventilation hence luncolive technology it powers the vent2cool medical device to induce ultrarapid protective cooling of heart and brain of resuscitated cardiac arrest patients vent2cool will increase their survival rate by tackling the reperfusion injury of post cardiac arrest syndrome luncolive project will enable clinical validation of vent2cool as a new gold standard for postresuscitation care orixha will industrialize and miniaturize the technology to increase usability as well as reduce costs and environmental impact in particular through recycling of the liquid2breathe breathable liquid its success will enable orixha to market the first vent2cool devices in the eu by 2026 and reach profitability by 2028 it will also strengthen orixhas ability to develop future applications for respiratory support and prehospital emergency care
physicsinformed ai platform for modeling of industrial cyberphysical systems

simularge aims to reduce the manufacturing waste within europe and beyond industrial waste makes up at least 50 of global waste and much of that waste is the result of poorquality products from manufacturing processes simularge will help workers reduce waste and lower the cost of quality as bad quality creates wastesimularge patentpending deeptech solution wo2021118478 combines physicsinformed ai platform for modeling of industrial cyberphysical systems it will optimize the production operations minimize the use of raw materials optimize the quality of products and will help detecting intime defective raw materials and products the combination of these processes will contribute to reduce carbon footprint besides by optimizing the energy usage and eliminating defected parts based reuse a huge contribution will be made towards zero emissionsimularge does not require any knowledge about a specific programming language as it is a nocode platform it includes mechanics ai and analytics for the developer gui the app gui shows the different functionalities with warning and alerts such as optimum pressure temperature etc then the set of parameters will apply to the machine that is part of the production and manufacturing processaccording to gmi3 the digital twin market size exceeded 42bn in 2020 and it is expected to grow at over 35 cagr between 2021 and 2027 we aim to target the smart manufacturing market as we believe that our solution will be a perfect match and this programme will accelerate our business reach simularge platform aims to reach 1m arr within 2 years and 56m arr within 5 years
selective ethylene oxidation on novel curved model catalysts

heterogeneous catalysis has made a wide range of highly functionalized materials available to us and therefore is an important contributor to economy and society ethylene epoxidation is a keystone process of the chemical industry because it produces one of the building block chemicals ethylene oxide from which a range of highvalue chemicals can be manufactured however product formation competes with complete combustion to co2 and the process is nowadays the largest co2 emitter of the european industry the reaction mechanisms that lead to either eo or co2 formation as well as the role of the catalytic surface are still not determined the project will implement a new approach to study the mechanism of ethylene oxidation under realistic reaction conditions while making use of surfacesensitive and atomically accurate techniques we will employ curved single crystals with tuneable surface structures as model catalysts to unveil sitespecific reaction pathways for ethylene oxidation under both uhv and reaction conditions we will explore the formation of different intermediate species and determine the selectivity of the ethylene oxidation reaction this approach significantly exceeds the current stateoftheart setting a new paradigm for the understanding of catalytic systems the impact on academic research and industrial applications will be substantial
market uptake measures of floating offshore wind technology systems fowts

marinewind is a 36 months coordination and support action that will identify bottlenecks and potential opportunities to strengthen floating offshore winds technology fowt role in delivering innovative solutions to system integration and will consider how best to integrate such a system by exploring the market policy and regulations issues social financial and technoeconomic optimal solutions and provision for storage and flexibility recommendations the marinewind methodology is based on the analysis of the marinewind labs that are social environmental technological and financial pilot studies based upon a multifaceted data collection and analysis on barriers and enablers related to a policy measures wp1 b societal engagement and environmental impact wp2 c financial solutions technoeconomic implications and commercialization of fowt wp3 the marinewind labs are located in five countries portugal and uk actual applications of fowt and greece spain and italy planned applications of fowt these labs will support the transfer of knowledge from the established experiences to the potential fowt sites where plans for installation of fowt are still at various stages of planning or implementation the marinewind labs will involve the quintuple helix stakeholders industry academia public authorities civil society and green innovation the threefold analysis will be conveyed into the marinewind web based geographical information system webgis which will provide specifically tailored information on fowt to the various stakeholders on the basis of their category geographical location and their goals and policy recommendations on how to have more informed res policy and how to increase societal acceptance wp4 the replicability plan will support the transfer of knowledge dissemination communication and exploitation activities wp5 will assure widespread outreach of the projects results and outcomes and to reach its impacts
upscaling the natural sponge functions of freshwater ecosystems to deliver multibenefit green deal solutions

the project spongeboost upscaling the natural sponge functions of freshwater ecosystems to deliver multibenefit green deal solutions gathered a consortium of 10 partners from 7 european countries with interdisciplinary backgrounds in research policy and management to collect and recommend the best solutions for effectively increasing or restoring the natural water retention function of the landscape by compiling available knowledge and best practice tools combined with adapting and testing new innovative approaches a roadmap will be developed to engage regions and communities in active implementing of transformative measures to improve resilience to extreme events by synthesising knowledge for policymaking handson restoration and adaptive landuse planning as well as showcasing successful examples of sponge restoration and the multifunctional benefits stakeholders from the local to the european scale will be engaged and supported in implementing costeffective and innovative solutions for restoring the sponge function of soils in wetlands and groundwater surface water systems the active participation in development and testing ensures that innovative solutions are moved closer to the market thus spongeboost will contribute to achieving the ambitious targets of the eu climate change adaptation mission and its implementation plan to maximize climate adaptation disaster risk reduction biodiversity and other societal benefits from naturebased solution spongeboost consortium members are involved in various restoration projects and work closely with relevant actors promoting networking and knowledge exchange and creating synergies at regional level and across all regions of europe they contribute to spongeboosts overarching goal of making a lasting positive impact on sponge restoration for climate change adaptation
uncovering the structure dynamics and impacts of humid heatwaves across africa under present and future climate

heatwaves the occurrence of extremely high temperature over a prolonged period have been identified to cause death reduce educational performance weaken worker productivity increase the risk of wildfire and affect crop productivity the occurrence of heatwaves has been increasing both in frequency intensity and duration in the recent past climate and a robust increase in heatwave frequency intensity and duration is projected in future climate scenarios when accompanied by moist air heatwaves can be even more lethal during such humid heatwave hhw events the physiological mechanism that allows the human body to cool down through transpiration is impaired previous regional research on heat stress focused mainly on europe south asia and the persian gulf even though global studies also identify subsaharan africa as a hotspot for heatwave extremes consequently very little is known about humid heatwave occurrence and impacts in africa due to the lack of dense meteorological networks and a consistent reporting framework this project aims to uncover the structure dynamics and impacts of hhw across africa under present and future climate and to translate this knowledge into actionable information for disaster management agencies to achieve this objective i will join the bclimate research group under the department of hydrology and hydraulic engineering at the vub the host supervisor and the bclimate research team have a worldleading reputation in climate extremes building on the tools of european unions copernicus climate change service the research outcomes will contribute to the forecasting of deadly heat stress across africa and develop an early warning system to reduce hhw vulnerability during my secondment at the un office for disaster risk reduction undrr in brussels i will develop an early warning system ews to reduce ontheground hhw vulnerability
xreverb efficient generation and perceptual evaluation of reverberant spatial audio for extended reality

extended reality xr refers to the technology which creates a 3d immersive environment where a user can perceive and interact with virtual objects by means of a head mounted display even though xr is still an active research area its european market has already reached an estimated worth of 34 million employing up to 480000 people it is expected that a mature xr infrastructure will raise the standards for remote working by enabling functional virtual workspaces which could stimulate the european economy by offering equal opportunities to workers regardless of geography and reduce greenhouse gas emissions due to less commuting which is in line with european goals a key part of xr is spatial audio or sound signals which the user perceives as if they come from specific locations in a 3d space realistic spatial audio can be computationally expensive particularly when simulating reverberation ie the interaction of a sound source and the environment this project investigates how humans perceive spatial reverberation to build more efficient rendering methods which enable highquality spatial audio on xr to that end a novel reverberation encoding technique is proposed based on a variable order ambisonics framework and a model for sound localisation in reverberation will be developed which is expected to be a significant advancement in the field of auditory perception the project will take place at a leading multidisciplinary group specialised on realtime spatial audio processing and who can offer excellent international collaboration opportunities the researcher will bring skills on evaluation of spatial reverberation and intersectoral experience from having worked at a world leading research group within the industry which will facilitate the transfer of knowledge the proposed work will expand the researchers experience competencies and professional networks potentiating the development of his career as an independent researcher
universal prevention of maternal perinatal mental disorders and its implementation as normalized routine practice

maternal mental disorders are the most common complications during pregnancy and within the first year after childbirth defined as the perinatal period and are the leading cause of maternal suicide affected mothers cannot function properly causing a devastating impact on the entire family effective primary prevention interventions are urgently needed however the current scientific evidence is insufficient to implementing primary preventive programs at the population leveli aim to establish the effectiveness of universal preventive interventions for maternal perinatal mental disorders and to support their implementation as normalized routine practice in global healthcare services integrating classical and emerging methodological frameworks family systems selfdetermination theory and normalization process theory as well as the perspective of patient and public involvement in research i will a develop a personalized mobilehealth preventive intervention for mothers and their partners which integrates evidencebased psychological components and personalized health recommendations b test preventive intervention effectiveness for reducing the incidence of maternal depression and anxiety disorder reducing fatherpartner symptoms of depression and anxiety and promoting child health and development c apply a causal methodology to pinpoint the underlying mechanisms for the effectiveness of the preventive intervention and d understand the implementation process and identify the factors that can promote or inhibit implementationwith the multidisciplinary team that i lead and a largescale hybrid effectivenessimplementation trail in realworld maternal health services this research programme promises to be the first in its field the resulting robust scientific evidence and novel explanatory model will create a new research paradigm a toolkit for implementation research will enhance translation as normalized routine practice
enabling flexibility provision by all actors and sectors through markets and digital technologies

the european commissions policy framework ie clean energy package fit 55 seeks to decarbonise the energy system encouraging the electrification of heat and transport as well as the connection of more clean but intermittent generation electricity markets and smart grid digitalization should proceed very fast to enable the fulfillment of these targets incentivizing energy consumers and maximizing the use of assets from different energy consumption sectors ie electricity water heating cooling mobility in order to fully exploit the flexibility services enflate project will build upon existing solutions on data drivel energy services and nonenergy services and replicate them in different geographies climate and consumer needs it will propose applicable consumercentered flexibility platforms and test them in bulgaria greece spain sweden and switzerland engaging local consumers tsos dsos market operators regulatory authorities service providers manufacturers academia it will provide smart grid innovative technologies peertopeer market platforms for consumers smart building and local community cross vector flexibility services integration of consumer centered flexibility with pan european spot markets efficient business models will be developed and tested combing energy services with health and mobility services the developed enflate project will be interoperable with existing data platforms in horizon 2020 like onenet coordinet smartnet and interrface leveraging the benefits of data exchange and adaptive middleware architectures enflate will evaluate the impact of the proposed multivector flexibility services to local regional and pan european level