Dragon09/odtu_chatbot huggingface dataset:
unveiling massive stellar clusters as cosmic ray accelerators

the origin of galactic cosmic rays is a persistent and fundamental open question in modern astrophysics gammaray observations have in the past five years suggested young massive stellar clusters as prominent cosmic ray accelerators but remain unable to provide smoking gun evidence for this scenario specifically the exact sites acceleration physics and power sources of cosmic ray production in such clusters are unknown and unquantified building on revolutionary developments in radio telescope capabilities to overcome these limitations i will explore novel meerkat and australian square kilometre array precursor observations to for the first time i directly locate the shock sites of cosmic ray acceleration in three massive clusters ii measure the microphysical properties of the acceleration process using stellar bow shocks as pristine isolated testbeds and iii obtain the most complete measurements of the power reservoir in massive star winds in these clusters this threestep approach will confirm young massive stellar clusters as cosmic ray accelerators reveal the exact acceleration scenario for the first time measure currently unconstrained but essential physical properties for cluster modelling large scale and local magnetic fields acceleration efficiencies cumulative stellar wind power and lay the foundation for synergies between planned future radio and gammaray telescopes i will openly distribute all analysed radio images and analysis tools developed in this action to facilitate open science and maximize their impact as a training tool for the astrophysical community i will furthermore develop an interactive highschool engagement module based on the analysed meerkat data performing this work at the uva i will simultaneously acquire the research management and supervision training that will complete my transition into a fully rounded research group leader
fostering research excellence of stu in digital twinning for sustainable and safe electric vehicles

the primary aim of the freetwinev project is to enhance stus research capacities in digital twinning for advanced battery management systems the vision of the project is to establish slovak university of technology stu as the focal point for cuttingedge battery research in the cee region achieved through a lasting strategic partnership in research involving stu university of twente linz centre of mechatronics and addsen focusing on internationalization freetwinev explores the opportunities stemming from the slovak research and innovation smart specialization strategy and the large automotive industry base of the country as the largest car producer per capita in the world the project has set very concrete key performance indicators to measure the progress and outcomes achieved they will result in increased rd and innovation capacities of actors in slovak and more precise state estimation and improved energy management of battery systems in various applications primarily electric vehicles but also in stationary battery energy storages freetwinev research contributes to the european green deal significantly with just extending battery life by 20 we could potentially save up to 40 million tons of co2year by leveraging advanced battery management systems batteries can be repurposed for various applications including stationary energy storage renewable energy integration and grid support the project promotes a circular economy by reusing valuable resources and minimizes the ecological impact associated with battery disposal through the series of twinning tools like mobility exchanges summer schools joint hard and softskills training upgrading the stus project office and designing and implementing strategic research and internationalization agendas stu will be able to fully absorb the best practices from the partners which will contribute to raising their scientific reputation and visibility in electric evehicles twinning proposal
voltagereconfigurable magnetic invisibility a new concept for data security based on engineered magnetoelectric materials

with the advent of big data information is facing new potentially more damaging security threats the current trend to enhance data protection is to use increasingly complex mathematical algorithms to encrypt information this approach requires exponentially growing amounts of data time and power resources reminds proposes a radically new concept to boost data security to act directly at material level ie in the way information is stored the project is built on the disruptive idea of using voltage to activatedeactivate magnetism via strain or ion migration effects and it tackles novel strategies to control the mutual interactions between ferromagnetic fm antiferromagnetic afm and ferroelectric fe materials while data written in ferromagnets can be read using conventional heads afm and fe materials are invisible to magnetic sensors due to their lack of magnetic stray fields methods to read sub200 nm afm or fe domains are complex and often destructive reminds will develop advanced engineering protocols to i transfer information from fm to afm or fe materials ii keep the data hidden in the afm or fe layers while the fm state is switched off and iii retrieve the information whenever deemed necessary neuromorphicinspired layouts will be used to selectively apply these protocols to specific memory units that will incorporate stochastic physical phenomena this will be the basis of new energyefficient proofofconcept data protection designs whose working principle will be tested at lab scale for potential applications in anticounterfeiting and antihacking technologies reminds is expected to revolutionize magnetoelectricity exploiting voltageprogrammable magnetism to an unprecedented extent and forging an entirely new paradigm in data security its outcomes will bring groundbreaking scientific contributions to the fields of magnetism spintronics piezotronics and flexible electronics and will have a huge socioeconomic impact
platform for helping small and medium farmers to incorporate digital technology for equal opportunities

phito platform for helping small and medium farmers to incorporate digital technology for equal opportunities introduces a groundbreaking digital tool specifically for small and medium farmers smfs that are currently unable to benefit from the digital innovation increasingly adopted by larger producers the platform connects data and people through a lowbarrier app with two main purposes 1 offering free datadriven farm advice on soil water and crops tailored to smfs global element and 2 improving synergic collaboration between farmers consumers and service providers while strengthening the local agriculture knowledge and innovation systems akis local element phito distinguishes itself from previous initiatives as a key example of frugal innovation by downscaling the complexity of digital farming and making smart use of existing open geodatabases through public domain data harvesting and embedding this in the various local food systems and networks through cocreation together with smfs and numerous local farmer representatives phito will help to bridge the digital divide by providing better access to information and local networking helping smfs to improve their decisionmaking processes and consequently their economic and environmental performances
hyperforce correlations in ionic soft matter

developing a comprehensive microscopic understanding of electrolytes is relevant for a wide range of physical chemical and biological problems including battery technology adsorption of pollutants in soils and the topical area of iontronics where ions are used for signalling characteristic electrolytic behaviour arises from the response of both ions and solvent molecules to the presence of external electrical fields fundamental physical description can be based on analysing the equilibrium and dynamical fluctuations that occur in a given system relevant fluctuating observables include the particle concentration the charge and the electrical current all of which directly relate to experimentally accessible observables the concept of forces despite being fundamental for physical model building has received far less attention in statistical mechanics here we intend to introduce a systematic correlation framework based on the forces and hyperforces which correlate forces with further physical observables in ionic systems hyperion combines analytical theory with simulation work and it comprises three main tasks i we will first develop and validate the static and dynamic force and hyperforce correlations in bulk thereby investigating how these relate to number and charge fluctuations ii we will study the influence of external confinement on the electrical fluctuations measured in finite observation volumes as is relevant for transport through channels and nanopores iii we will consider the nonequilibrium correlations that occur during transport induced either by shear flow or by an external electric field with the aim to rationalize the emerging electrophoretic phenomena and the nonequilibrium ion kinetics as understanding the electrolyte sheds light on the kinetics of individual ions hyperion aims to provide a new point of view for ionic structure and the associated nonequilibrium transport in complex environments
sensory endovascular robot

we have developed a smart sensory teleoperated robotic system for endovascular procedures sentante it allows an endovascular procedure to be performed without exposure to harmful xrays using a robotic system doctors may perform the full endovascular procedure from a different room in the future even a different hospital intuitive controls and universal compatibility with marketed endovascular instruments make sentante ideal for fast implementation into the routine clinical workflow with almost no additional training patients will benefit from better treatment availability particularly in urgent cases with no need for patient transportation from a local hospital hospitals will benefit from cheaper 247 service the ability to retain experienced doctors attract more patients ai implementation and partial automatization of some of the procedures are planned for the future
chipbased roomtemperature terahertz frequency comb spectrometers

although visual perception of humans is limited to a fraction of wavelengths spanning the electromagnetic spectrum technological advances enable us to see in other spectral regions by providing suitable sources and detectors of particular interest for many applications is the ability to probe objects in the terahertz thz range which bridges the microwave and infrared domains thz radiation offers unique opportunities for imaging or sensing due to its high transmission by opticallyopaque materials like paper textiles ceramics or plastics while for gas sensing it enables identification of structurallycomplex molecules unfortunately access to this region is difficult due to limitations of conventional electronics and photonics and often involves cryogenic operation even the most mature systems operating at room temperature despite years of advances still struggle to provide chipscale miniaturization of the source and detector and movingpartsfree acquisition of a broadband thz spectrum here to fill this niche and address the critical demand for broadband chipbased thz spectroscopy without any moving parts we propose to leverage midinfrared 35 um semiconductor laser frequency combs based on interband cascade lasers icl we postulate that nonlinear frequency conversion due to the recently discovered second order susceptibility of the icl medium can be used to obtain microwatt to submilliwatt level of thz power at a batterycompatible bias a complementary midinfrared photomixer technology envisioned in this proposal will additionally enable coherent detection of broadband thz comb radiation at room temperature although the project is inherently risky due to uncertainties in the ultrafast dynamics of semiconductor structures losses in the terahertz range and fabrication complexity it is timely and strongly demanded by the community it will unlock new opportunities across many disciplines ranging from chemistry to 6g telecommunications
understanding respiratory tract infections through minimallyinvasive daily nasal sampling in children

pneumonia is the number one infectious cause of death in children worldwide many of the viruses and bacteria that cause pneumonia regularly infect or colonize the upper respiratory tract urt without causing disease this drives community transmission but is also an important source of immunity the processes and key host immune and microbiota factors that determine the infection kinetics transmission and development of immunity during such infections need elucidation i have recently optimized minimallyinvasive nasal sampling analysis methods using synthetic absorptive matrix sam strips that now allow me to address these knowledge gaps through the daily collection of such welltolerated nasal samples in children i will study nonpathological naturallyacquired urt infections but also controlled infections in an ethical and safe manner using the live attenuated influenza vaccine in addition i will perform high frequency nasal sampling in groups of schoolchildren to precisely measure transmission events over time and even infer exposure incoming bacteria viruses and the resident urt microbiome as well as mucosal host innate and adaptive immune responses will be quantified in parallel throughout infections using existing and new highthroughput assays including an antigen array and microfluidic qpcr for 32 pathogens multiomics integrative timeseries analyses and mathematical modelling will be used to identify parameters that are central and predictive for pathogen acquisition replication and clearance as well as for transmission and immune boosting key novel markers and concepts will be validated using stateoftheart in vitro mucosal modelsthe comprehensive and detailed understanding of urt infections obtained in this project can lead to better diagnostics mucosal targeted therapies and vaccines and provide a basis for the improved predictions of pathogen spread and public health effects of interventions at the population level
a scalable and practical privacypreserving framework

the deluge of big data accompanied by developments in software and hardware technologies leveraging them has created new opportunities for research and industry europe the main challenges though faced by researchers and service providers working with personal data are stemming from the fact that these data need to be processed in a privacypreserving way as they contain sensitive information although several technologies have been developed to facilitate the processing of data while preserving privacy they have not made significant inroads into real use cases due to several reasons encrypt will develop a scalable practical adaptable privacypreserving framework allowing researchers and developers to process data stored in federated crossborder data spaces in a gdprcompliant way within this framework a recommendation engine for citizens and endusers will be developed providing them with personalised suggestions on privacy preserving technologies depending on the sensitivity of data and the accepted tradeoff between the degree of security and the overall system performance the encrypt framework will be designed taking into consideration the needs and preferences of relevant actors and will be validated in a comprehensive 3phase validation campaign comprising i inlab validation tests ii use cases provided by consortium partners in three sectors namely the health sector the cybersecurity sector and the finance sector that include crossborder processing of data and iii external use cases including privacy preserving computations on federated medical datasets encrypt will be realised by a multidisciplinary consortium of 14 partners comprising six companies including three smes one startup and two enterprises and eight research institutesuniversities and covering the value chain for privacypreserving computation technologies
mercury in the solar wind adaptive kinetic model for space weather at solar systems innermost planet

we develop a new type of a global plasma simulation model with adaptive charged particle kinetic physics for the mercurysolar wind interaction mercurys solar wind interaction or space weather is unique in the solar system due to spatially small and temporally fast magnetospheric scales airless solid body with a large conducting core a tenuous surfaceoriginating exosphere and the closest distance to the sun of the planets these features mean that mercury is an ideal compactsized magnetospheric solar wind interaction laboratory for spacecraft and model studies compared to earths much larger magnetosphere since mercurys plasma environment is populated by a unique composition of exospheric heavy ions mixed with the solar wind the magnetosphere is much smaller than at earth and under stronger solar wind conditions studying mercury reveals new information on space weather processes in general the main scientific objectives of the bepicolombo bc twoorbiter mission enroute to mercury include the investigation of the structure and dynamics of the hermean magnetosphere and exosphere the new model to be developed in this project is based on highperformance computing and an adaptive algorithm for charged particle kinetic effects this enables efficiently resolving hermean space weather processes and the coupled complex solar windmagnetosphereexosphere system at detail beyond current global models the new model is applied in the interpretation of observations by bc with the focus on the role of charged particle effects in the physics of basic space weather processes
direct current power flows in megawattscale energy grids

the current electric energy distribution gridbased mainly on alternating current achas servedus for over a century transporting energy generated at large power stations over long distances to adistributed network of consumers it is starting to show its shortcomings due to a rise in localgeneration with renewable energy sources and the essentially direct current dc nature of manymodern electric loadsmodern grids need to deal with twoway energy flows local intermittent generation fromrenewables and local energy storage in stationary batteries medium voltage distribution microgridsusing dc instead of ac hold the promise to address the shortcomings of the ac main gridthere are several initiatives in low voltage secondary distribution grids and dcpower is expandingtheir concepts into the medium voltage range we propose the d 3 bus a bipolar dc bus operating at15 kv compared to standard 3phase 400v ac distribution the d 3 bus can reduce distributionenergy losses by over 90 reduce downtime equipment cost and space requirements whileincreasing sustainabilitydcpower demonstrates tests and validates the d 3 bus concept in two operational pilots onepowering an industrialscale hydrogen electrolyser stack at 2 mw power and one powering a newdata centre with up to 500 kw installed it power both pilots include sizeable solar pv arrays 200kw while the data centre also includes a directly coupled dc ups solutionin order to realise these pilots dcpower develops several dcdc converters an ac activefrontend as well as system protection components and a powerenergy management systemthe d 3 bus is intended as a first steppingstone towards standardization of mvdc distributionmicrogrids it is such industrywide standards that will enable and accelerate the adaptation of theelectricity distribution system towards the energy demands of the future and net zero
intensified processes for co2 conversion to sustainable synthetic fuels

developing intensified catalytic processes for co2 conversion may drive their implementation at co2producing sites counteracting current practices of emitting co2 and waste gases converting co2 to synthetic fuels is a winwin scenario as they are used as sustainable aviation fuel a leading technology to convert co2 to synthetic fuels proceeds indirectly via reverse water gas shift rwgs and fischertropsch synthesis fts co2 is first reduced to co via rwgs and then converted to hydrocarbons via fts based on current chemical engineering practices four unit operations two reactors and two intermediate separations are required the ambition of the intensifiedco2 technology is to intensify the current practice through the reduction of unit operations without compromising on selectivity towards synthetic fuels the objectives are to eliminate two separation units for co2 and h2o and to consolidate two reactors into a single bifunctional rwgs and fts reactor as such the intensifiedco2 technology will be the first demonstration of metallic cobalt catalysts converting co2 to synthetic fuels in a single reactor metallic cobalt catalysts are industrial fts catalysts but produce mainly methane from co2 attempts thus far on tuning cobalt phases to attain synthetic fuels are unsuccessful signalling the need for a radical strategy as proposed in intensifiedco2 my innovative approach involves coaxing a metallic cobalt fts catalyst to disregard the presence of co2 and h2o within the reactor ensuring its catalytic performance mirrors that of synthesis gas a mixture of co and h2 conditions ideally undesired species stay in the reactors mass transfer zone while desired species interact in the catalysts adsorptionreactiondesorption zone this concept of customising the catalysts environment in the reactor stands in stark contrast to the common approaches of tailoring catalyst material and active sites signifying a paradigm shift in catalysis research
foundation modelbased biomarker platform for radiology and clinical trials

the foundra project is based on 2 challenges 1 due to aging and population growth there is an increase in pathologies that require radiology from diagnosis to followup 2 the ambition to make personalized medicine the standard of the future requires all kinds of biomarkersraidium is an agile young and ambitious french company born from the mission of the cofounders to accelerate the application of precision medicine and relieve radiologists from their enormous workloadraidium delivers the first scalable interactive ai platform for radiology supporting radiologists in their work enabling a broader group of clinicians to benefit from radiology insights and making clinical trials faster and more costeffective the innovation is a multimodal foundation model fm that uses selfsupervised learning based on unlabeled data creating scalable biomarkers unlike current offerings where biomarkergenerating ai can only target one segment due to the time and costconsuming effort of supervised learning based on manually labeled data the humancentric platform offers an intelligent interactive and intuitive humanmachine interface that can be trained by the radiologist leveraging their experience while performing automatic segmentation annotation and analytical tasks providing reports and decision supportradiums beachhead market is to be an aienabled contract research organization for pharmaceutical companies providing strategic aigenerated biomarkers radiums ultimate market is to provide an ai radiology platform as a software as a service saas to radiologists and clinical researchers in hospitals and pharmawith the support from eic we will train our fm integrate it into our platform and accelerate the creation of aibased biomarkers this initiative aims to revolutionize and bring about significant advances in the fields of precision medicine in respect to medical practice and clinical trials