Dragon09/odtu_chatbot huggingface dataset:
infrared valley control of moir quantum materials

a key ingredient governing the behaviour of electron dynamics in condensed matter systems is the valley degree of freedom this fellowship aims at inducing topological or valleypolarised electronic phases in moir systems and explore their tunability moir quantum materials present a high degree of tunability as the ratio between interaction strength and electronic bandwidth can be optimised resulting in flat bands and correlated electronic states control of such phases with circularly polarised light would allow to understand the valleypolarisation topological protection and the mechanisms underlying the emergence of flatband superconductivity and correlated insulators the project will use an interdisciplinary methodology combining electronic transport techniques with infrared farfield irradiation and near field imaging to create manipulate and explore novel phases with nontrivial topology valley polarisation in moir materials the researcher will conduct transport measurement with circularly polarised light to selectively induce intervalley scattering in 1d channels and explore superconducting interferences in this regime the project will also quantify the influence of circularly polarised light cpl on the superconducting phases and correlated insulators in flat band moir systems in order to comprehend the interplay of strongly correlated electronic states with cpl and understand their origin the fellowship will control and explore novel phases with nontrivial topology in moir materials providing new understanding of valleypolarised phases this objective is a steppingstone towards the creation of new optoelectronic devices such as photonic diodes optical transistors and logic circuits and could lead to new concepts as topological nanophotonics for optical information processing
conventional dendritic cells ecology diversity and function

effective t cell responses are critical for the efficacy of vaccination and cancer immunotherapy therefore the manipulation of conventional dendritic cells cdcs offers great potential for improved therapies as these cells play a key role in the activation and regulation of t cell function however cdcs are a diverse group of cells whose function is incompletely understood previous attempts at targeting cdcs therapeutically have been underwhelming perhaps as a result of not targeting the right cell subset specifically the goal of this proposal therefore is to reveal the functional properties of the different cdc lineages during type 1 and type 2 immunity and to understand how the ecology of cdc subsets is regulated to meet the functional demands of tissues undergoing different types of inflammation i propose that studying the cdc subsets that enhance cytotoxic t cell responses against viruses in type 1 immunity and those that enhance parasite clearance and tissue repair in type 2 immunity against nematodes will help to identify those cdc subsets that need to be either triggered or inhibited to improve tumour control therefore we will use welldefined models of type 1 and type 2 immunity to reveal the diversity of these cells during inflammation furthermore we will generate new mouse models to target cdcs subsets specifically to study their functional properties and to reveal how these functional properties are instructed in this regard we will address how subset specification is regulated distally by a novel interorgan communication axis lungbone marrow that could tune the host immune system to everevolving challenges finally as a proof of concept we will use transplantable and orthotopic cancer models to unravel beneficial and detrimental cdc subsets in the immune response against cancer cdcfun will open new avenues for the design of better vaccines and immunotherapies that harness the functional properties of specific subsets of cdcs
using dj vu to better understand spontaneous retrieval in human memory

the project focuses on a new theoretical view that i recently published together with my host supervisor according to our continuum hypothesis two spontaneous phenomena dj vu and involuntary autobiographical memories although studied separately are actually a result of the same underlying processes this novel theoretical view may transform the current understanding of memory retrieval processes and is in urgent need for systematic empirical investigation to develop a databased theoretical framework for a broad range of spontaneous cognitions the project creates a crosstalk between currently separate areas of research in which i an autobiographical memory specialist in experimental psychology join forces with my host supervisor an expert in dj vu metacognition and neuropsychology to advance theoretical models of autobiographical memory retrieval to this end within the project i will undertake advanced training in dj vu methods metacognition singlecase study methods in neuropsychology and transdisciplinary training on the brain and cognition this will be then used in planned empirical studies aimed at 1 testing the novel theoretical approach with empirical evidence and 2 further advancing theory of autobiographical memory dj vu and spontaneous cognitions while the project is expected to significantly contribute to the research area it will also significantly advance my professional research career by providing me with new skills knowledge experience in new for me area of research and to let me build up a longlasting network of collaborators
humancentred machine learning lighter clearer safer

the rapid development and adoption of artificial intelligence ai and machine learning ml technologies have brought significant opportunities and challenges while ai has the potential to revolutionise industries and improve lives there are growing concerns related to privacy security fairness transparency and the environmental footprint the olympics motto faster higher stronger also applies to recent impressive ai advancements but now is the time to update it to lighter clearer safer we propose achilles to build an efficient compliant and trustworthy ai ecosystem at its core is an iterative development cycle inspired by clinical trials encompassing four modules it begins with humancentric methodologies followed by datacentric operations modelcentric strategies and deploymentcentric optimisations it returns to humancentric approaches focusing on explainability and model monitoring this iterative cycle aims to enhance ai systems performance robustness and efficiency while ensuring they comply with the legal requirements and highest ethical standardsanother innovation is the development of an mldriven integrated development environment ide the achilles ide will facilitate seamless integration between the iterative cycles modules enabling users to develop efficient compliant and trustworthy ai solutions more effectively and responsibly the project aims to significantly impact european ai development aligning with the regions guidelines and values through innovative techniques and methodologies based on the collaboration of a multidisciplinary team of 16 partners from 10 countries achilles will foster a strong ai ecosystem that respects privacy security and ethical principles across various sectors by validating the results in real use cases including healthcare id verification content creation and pharmaceuticals achilles will showcase its practical applicability and potential for widespread adoption
euroflash exploring the origins of fast radio bursts using a network of european radio telescopes

fast radio bursts frbs present astronomers with a compelling mystery what is creating these brilliant but ephemeral flashes that travel billions of lightyears before reaching earth whatever is producing the frbs it requires an extreme energy density and the conditions for laserlike coherent radio emission to be generated while recent discoveries show that magnetars are a leading contender the heterogeneous properties of the known frb sample strongly suggest that there are multiple frb source types if so then we have multiple mysterious frb origins to uncoverdue to the great interest in solving this puzzle enormous progress has been made in recent years there are now hundreds of known frb sources dozens of which repeat and some of which have been localised to their exact galactic neighbourhoods the frb sample continues to grow at a rapid pace of several new sources per day thanks to new widefield radio telescopes studying these sources with dedicated followup is challenging because they emit sporadically and are only visible for milliseconds or less at the same time by casting an even wider net we are likely to discover new types of frblike signals with euroflash i will create a coordinated network of european radio telescopes operating over a broad range of radio frequencies providing high sensitivity and observing cadence and achieving the bestpossible localisations i will use this network to perform a worldleading systematic study of repeating frbs to understand their progenitors and their relation to the apparently oneoff frb sources i will also make a novel exploration of the parameter space of shortduration radio transients by exploiting the large fieldofview of lofar20 and commensal observations to find new sources in doing so i aim to discover new types of astrophysical phenomena that probe the extremes of the universe
an integrated approach to restore tolerance in autoimmune disease

the tolerate training network aims at training dcs to acquire the skills to develop different innovative strategies to treat autoimmune diseases to identify the most promising strategies or a combination of strategies to setup clinical trials and to develop a roadmap to bring a novel therapeutic agent to the market this all will be done in a highly interdisciplinary and intersectoral environment interdisciplinarity allows to introduce innovative tolerogenic therapies developed for cancer chimer antigen receptor cart cell therapies into the world of autoimmune disease and to apply nanotechnology and proteinengineered tolerogenic vaccines to reestablish immune tolerance in autoimmune disease both the presence of academia and industry provides a platform for indepth preclinical studies and a realistic possibility for future commercialization of the novel therapies clinicians in the consortium with expertise in settingup and running clinical trials for novel drugs assure that developed novel therapies in tolerate will find their way to the clinic in the future developing novel therapies for autoimmune diseases goes close together with a thorough knowledge on the longterm consequences of living with an autoimmune disease since many autoimmune diseases are rare diseases setting up international uniform databases and biobanks is crucial to understand the longterm pathophysiology of the disease and to guarantee optimal use of novel therapies tolerate will train 8 dcs who will hence has the expertise and skills to work in and setup interdisciplinary and intersectoral projects the groundbreaking training programme will provide the dcs with a unique clinical training additional training in ethical regulatory and legal aspects together with a training in innovation management of therapeutics and diagnostics for autoimmune diseases will prepare the dcs for the european job market
computational studies of new dzyaloshinskymoriya interactions

the magnetic phases that can be formed in chiral magnets has been of increasing interest due to the unique and exciting physics and potential applications these materials have the chiral magnetism in these materials is created by the competition of energy terms in the hamiltonian namely exchange and the dzyaloshinskymoriya interaction dmi this dmi is created from the asymmetric environment of interacting magnetic spins and is thus connected with noncentrosymmetric crystallographic point groups as these noncentrosymmetric point groups have different symmetries the form of the dmi equation changes from one to the next however only a small number of dmi point groups have been studied so far this project will investigate the physics of the yet unexplored dmi terms computationally these terms will be integrated into micromagnetic calculators and will be made opensource to enable the magnetism community to use it for research outside of this project the multidimensional parameter space of these new dmi terms will be systematically investigated for new magnetic structures using machine learning techniques novel magnetic structures discovered will have their stability equilibrium and nonequilibrium dynamics studied to gain new physics insights this will lead to exciting new physical phenomena being discovered which may have the potential for applications in spintronics
excellent laser technologies for the sustainable prosperity of europe

central bohemian region czech republic and lithuania represent european regions where researchers in the photonics resp laser technologies sectors are internationally recognised and the business has a high added value the interaction between science and business is intense and promotes development so there is great potential to create new companies there are opportunities to create a new generation of industry based on laser technologies and there is an increasing potential to create more integrated solutions the inclusion of laser technologies in the priorities of smart specialization of both regions shows that this sector has a huge potential for further development and improvement on the other hand the main challenge in this area is the creation of the photonics and laser technology sector where operating companies would produce products with higher added value and exceptional functionality thus the excellence hubs initiative represents a unique opportunity for a teaming up of two laserbased innovation ecosystems creating a realplacebased innovation culture in the czech republic and lithuania through activities such as the creation of a joint ri strategy the realization of joint research projects setting up action and investment plans as well as mutual learning and skills development the linkages between academia business government and society will be strengthened and sustainable ri ecosystem in the cuttingedge domain of lasers and their applications will be created excellence hub laserpro is centered around key academic institutions hilase laser centre in the central bohemian region and the centre for physical sciences and technology in lithuania complementary stakeholders include innovation centers research clusters and industry associations ukrainian partners are also involved through a mentoring scheme to enhance collaboration and innovation opportunities
towards a new theory of optimal dynamic graph algorithms

dynamic graph algorithms are of increasing critical importance they are crucial for coping with dynamic networks which model the everchanging physical world and have been instrumental in achieving numerous major breakthroughs in static graph algorithmsthe holy grail in the field of dynamic graph algorithms has been to design algorithms with polylogarithmic in the input size update time however recent exciting developments in which the pi has played a central role aim to push the update time toward an absolute constantindependent of the input size which is qualitatively very different than a polylog boundthis goal is of fundamental importance not just from a theoretical perspective but also from a practical viewpoint due to the rapidly growing size of modern networksan algorithm is intrinsically optimal if its update time matches the ratio of the problems static time complexity to the input size the main question underlying this research iswhich graph problems admit intrinsically optimal update timeonly few intrinsically optimal graph algorithms are known the unique goal of this project is to establish a systematic study of intrinsically optimal algorithms we will also study provably optimal algorithms aiming to advance our understanding of the thin line that separates these two distinct optimality notions to achieve this goal we must go far beyond the current stateoftheart and in particular confront some of the most central problems in the field meeting the projects main goal even partially will be groundbreaking results of this project will facilitate the use of dynamic algorithms in realworld application domains and will also be illuminating to other fields such as distributed computing and finegrained complexity consequently we believe this research has the potential of revolutionizing the field of dynamic graph algorithms and impacting related fields thus enriching the general landscape of computer science
from fiber to wall physical approach of hygrothermal transfers in biobased construction materials

biobased construction materials are airfiber systems such as wood hemp cellulose flax etc possibly coated with a mineral paste they represent a promising solution for carbon emission reduction due to their low production cost and their partial or full recyclability moreover they bring more comfort to the occupants thanks to their moisturebuffering capacity and they require less energy for heating or cooling these qualities are obtained through exchanges between water vapor and bound water ie water absorbed in the solid structure combined with heat transfers consequently understanding and predicting water and heat hygrothermal transfers in such materials is essential to selecting them appropriately adjusting their conditions of use and designing innovative materials however the current analysis of their performance is generally based on limited evaluations at a global scale or via macroscopic models lacking physical informationmy idea is instead to open the black box and start from the fiber scale to explicitly describe the internal physical processes at this scale including sorption dynamics bound water diffusion fiber configuration etc and then to progressively complete and extend this approach to fullscale materials this can be used to build for the first time a generic description understanding and modelling of hygrothermal phenomena in biobased construction materials this physical description will be supported and enriched by several experimental innovations notably internal measurements of the spatial distribution of moisture content and temperature in time will be obtained from noninvasive timeresolved magnetic resonance imaging mri which can be used to validate the models and determine diffusion properties in an unequivocal way finally i will develop an opensource software predicting hygrothermal characteristics and performance based on material characteristics and history of ambient conditions
breathing life into the new european research area and the era policy agenda through engaging awarenessraising initiatives

the goal of inspiring era is to leverage and accelerate the valorisation of results from the era policy agenda 20222024 through a serviceoriented hub that connects and supports member state associated countries and stakeholders with regard to their joint implementation of the era actions in close collaboration with the european commission the project aims to create and support a culture of mutual learning to build and strengthen a viable community of practice for era that thrives through from insights and to maximize the broad uptake of valorisation of results stemming from the era policy agenda actions through the elaboration of recommendation and guidance for policymakers
revolutionizing diabetes management by combining in silico models and ai control for vagus neuroprostheses

diabetes is a major world health problem approaching epidemic proportions and causing long term health damages due to inappropriate blood glucose regulation pharmacological therapies are limited by numerous side effects as renal insufficiency or heart failure and dose management issues their efficacy is also hindered by often problematic patients compliance this results in an unmet need for automatized closedloop glucose metabolism regulation adaptable to variable patients conditions vagus nerve vn is a major component of the autonomous nervous system innervating internal organs and its electrical stimulation showed preliminary results in modulating glucose metabolism however underlying mechanisms remain unknown posing a highrisk to its feasibility and could lead to indiscriminate stimulation causing multiple side effects compromising breathing or heart rate fine glucose regulation cannot be achieved without better understanding of nerveimplant interaction and circuits stimulated by vns i aim to fill present scientific gaps by developing the first vns neuroprosthesis for personalized closedloopregulation of glucose levels in diabetics this results in a significant challenge defining stimulation policies able to selectively block or activate specific neural pathways while counteracting metabolic shifts and implantnerve alterations to that aim i will exploit modelsdriven interface design and aibased stimulation policies animal experiments will investigate the physiological responses to optimal policies maximising glucose regulation while minimizing adverse events inspecting both cervical and abdominal vns optimal vns will be validated in human trials achieving device assessment in patients diabetmanager will shed light on the underlying mechanisms of vnsmediated glucose metabolism control while providing versatile vn insilico model unprecedent aiarchitecture for its adaptive stimulation and disruptive health treatment
twinning to boost the scientific and innovation capacity of the universiteti i tiranes to develop sustainable nanosensors for water pollution detection

susnanos overall aim is to boost the scientific excellence and innovation capacity in sustainable nanosensors for water pollution detection of universiteti i tiranes ut and its highquality twinning partners fundaci institut catal de nanocincia i nanotecnologia univerzita palackho v olomouci and intelligentsia consultants srl to achieve this aim susnano will implement a research and innovation strategy over 3 years based upon 5 objectives implemented via 5 corresponding wpsobjective 1 conduct exploratory research on sustainable nanosensors to detect water pollution in albaniathe goal is to develop innovative sustainable nanosensors to detect heavy metals pesticides and antiobiotics the validated sensors will be used in field tests to provide an environmental assessment of rivers and lakes in albaniaobjective 2 transfer knowledge between experienced researchers ers of ut and the twinning partnersthe goal is to organise short term staff exchanges trainings and seminars for uts ers and the twinning partners ers to complement the preparatory research undertaken in objective 1objective 3 enhance career prospects of earlystage researchers esrs of ut and the twinning partnersthe goal is to enhance the career prospects of uts esrs and the twinning partners esrs by organising short and mediumterm exchanges training workshopsseminars summer schools joint phd programmeobjective 4 improve uts management and administrative capacity for european rd programmesthe goal is to improve the skills of uts directorate of scientific research projects and foreign relations in proposal preparation project management and innovation management for european rd funding programmesobjective 5 raise the research profile of ut and the twinning partnersthe goal is to raise the research profile and scientific reputation of ut and the twinning partners through a comprehensive range of dissemination exploitation communication outreach activities