Dragon09/odtu_chatbot huggingface dataset:
tunable nanoengineered transition metal dichalcogenides for quantum nanophotonics

in optical quantum computing qubits are encoded on single indistinguishable photons emitted by singlephoton sources spss the computation is carried out by interfering single photons and by measuring the output using singlephoton detectors a scalable optical quantum computer requires many individual spss emitting indistinguishable single photons however different spss emit light at slightly different wavelengths due to fabrication imperfections this issue can be resolved by implementing an active control for each sps to ensure generation of completely identical photons despite recent progress active control of individual spss still remains one of the biggest challenges in future quantum technologies moreover the vision of constructing an onchip platform by integrating spss waveguides and detectors into a single planar chip is challenging due to the complicated integration of the conventional material platformsthe tunetmd project aims at developing a tunable onchip integrated optical circuit using fully nanoengineered mono and multilayer transition metal dichalcogenides tmds and performing hongoumandel experiments onchip i hypothesize that unique optical and physical properties of multilayer tmds such as high refractive index low loss at telecom range active tuning capability and easy integration between different types of tmds combined with optimized nanopatterning techniques make nanoengineered tmds the ideal semiconductor platform to build tunable onchip fully integrated quantum optical circuits i will exploit my expertise in nanophotonics and 2d materials to fabricate novel tmd photonic devices eg sps waveguide beamsplitter and detector then i will integrate them on a chip to construct fully integrated quantum optical circuits finally to demonstrate the groundbreaking nature of the proposed platform i will perform a hongoumandel experiment with two tunable sources
engaging the value of living labs to innovate care and regulatory environments

charting a course for a more resilient and patientcentric healthcare future depends on continuous development and delivery of innovation to the market evolve2care focuses on healthtech experimentation practice frameworks standardizing and enhancing the symbiotic relationship between living labs and innovators in the context of the transitional care sector challenges ranging from an aging population to complexity of medical conditions and regulatory frameworks bring a growing recognition of the importance of experimentation practices by subjecting innovations to realworld scenarios experimentation uncovers complexities ethical considerations interoperability challenges and unforeseen barriers that controlled environments may not reveal by harnessing the power of living labs realworld environments involving users and stakeholders evolve2care will provide innovators with access to services for testingvalidating research and products evolve2care focuses on three use cases hospital discharge management homecare monitoring solutions aging population care transitions engaging stakeholders from across the value chain to examine complexities barriers and enablers that regulatory frameworks pose to the development and commercialization of healthcare innovations recognizing the crossdisciplinary nature of healthcare we will engage with eit kics and their beneficiaries we will provide a scalable collaborative experimentation space the accelup marketplace to aggregate living labs innovators researchers regulators investors and other pertinent stakeholders trainings workshops and reports will increase knowledge and disseminate findings to our stakeholders the project partners encompass vast expertise and networks covering the developmentcommercialization of innovation in transitional care the project advisory board consists of clevel experts in healthcarepharma living labs startups eit programs and regulatory issues
reconfigurable intelligent surfaceenabled millimetre wave communication for beyond 5g cellular networks

the 5g mobile communication era has just started and we are already experiencing the dominance of various new applications with enhanced broadband connectivity requirements these requirements will become even more critical with the integration of cellular networks in different sectors of society conventional sub6 ghzbased cellular networks represent a shortterm solution where available spectral opportunities are limited and will unquestionably dry up soon to this end risemm aims to set the ground for the thz spectrumbased cellular networks combining the researchers experience on reconfigurable intelligent surfaces risenabled networks and the expertise on mmwave communication and its practical implementation of imdea networks in risemm we will develop channel models for risemm communication in indoor and outdoor deployment settings moreover the project aims to develop an algorithm for joint communication and sensing jcas through risemm using machine learning techniques risemm aims to validate the proposed channel models and the algorithm using systemlevel simulations sls and softwaredefined radios sdrbased mmwave experimentation platforms it will also implement the proposed channel models using a large testbed with tens of 60 ghz offtheshelf devices which will provide a more realistic performance analysis for largescale deployments to complement the sls and sdrbased results the practical deployment of risemm will also help formulate the optimal ris placement policy which is a critical factor for risenabled network planningrisemm is a unique scientific advance because it capitalises on communication theory machine learning and practical experimentation to propose new networking models to design and characterise risemm communication for beyond 5g6g cellular networks in addition the specifically developed jcas algorithm can be the basis of novel developments for passive object detection and identification
information processing in passive elastic structures

smart devices constantly monitor the environment and analyse the resulting stream of information waiting for wakeup events ranging from a skipped heartbeat in a pacemaker to a verbal command in an intelligent speaker in electronic devices such constant workload requires reliable power and leads to significant battery drainage the aim of infopass is to answer the need for zero standby power alwayson sensing and processing by inventing novel components based on architected elastic microstructures we will focus on passive speech recognition vibrating structures that respond with large amplitudes only when excited by a particular spoken word the components will be based on artificial neural networks of mechanical resonators benefiting from their ultralow power dissipation and bypassing the inefficient transduction between acoustic and electric signals the goal of passive speech recognition is challenging due to the required device complexity conventional micromechanical systems consist of a few resonators while neural networks require thousands of nodes pushing the limits of design and fabrication technologies by orders of magnitude the proposed work builds on my invention of a twostep structure design method advanced responses are engineered by first encoding the desired response in an effective massspring model which is then translated into a structural geometry compared to fullwave simulations massspring models speedup the optimisation process by more than a thousandfold allowing us to train the structures on realistic speech corpuses the invention of devices that passively perform complex information processing tasks will lead to mobile devices with longer battery life alwayson internetofthings devices that consume no standby power and batteryless health monitoring sensors potentially impacting billions of devices
dynamic electron imaging with phase retrieval

quantifying the multiscale functionality of lighttriggered hierarchicallystructured assemblies represents a challenge in materials science underpinning the design of efficient nextgeneration optoelectronics photovoltaics and energy storage nanodevices critical to this challenge is the availability of new metrology and inspection tools which allow to probe the outofequilibrium dynamics of these materials while interacting with light pulses with quantitative contrast to all its componentsdecipher proposes to combine phase retrieval image reconstruction methods with the advances in pulsed electron source technology to build a breakthrough microscope capable of directly visualizing the nanoscale dynamics of functionalized materials with fsps temporal resolution and nm spatial resolution the proposal has three main objectives i construct a nextgeneration ultrafast electron diffraction imaging system ii implement cuttingedge phase retrieval methods to enable fullfield quantitative imaging across length scales with sensitivity to heavy and light elements iii leverage these new methods to directly visualize lightactivated functioning np supracrystals with unique sensitivity to their quantitative chemicalelemental composition and simultaneously to their 2d3d topography this approach will enable the study of nanoscale dynamical behavior with unprecedented detail and provide vital feedback toward the design of energyefficient highperformance devices
coherent and crosscompliant ocean governance for delivering the eu green deal for european seas

the threeyear crossgov project aims to enhance knowledge on how coherence and crosscompliance of marine related policies and legislation affect the ability to realise the goals of the eu green deal for the protection of marine ecosystems and biodiversity and to cocreate proposals and roadmaps towards this end a core strength of crossgov is the close collaboration with the policymaking community that will be engaged in cocreation of knowledge and recommendations for solutions the background for the project is the complex multilevel and multisector governance system created by global and regional international frameworks the eu and the european coastal states this policy landscape has not managed to halt the degradation of european seas and will be challenged further by the eu green deals call for transformative changes based on scenarios and methodological guidance for studies of coherence crosscompliance and scientific advice the project will analyse how policies and legislation at various levels support or impede progress towards the green deal in the marine domain the practical results of attempts to implement the various requirements will be studied in three regional cases the north sea the baltic and the mediterranean and in five national cases finland norway netherlands france italy the insights gained will be discussed with crossgovs stakeholder forum to cocreate recommendations for better integrated policies towards implementing the green deal in the marine context the innovative webbased and fitfor purpose roadmaps and methodological guidelines will enable policymakers to effectively foster environmentally sustainable law and governance that is fitforpurpose for delivering the societal transformation called for
multilevel inflammatory regulation in cardiometabolic disease

the benefit of targeting inflammatory pathways in cardiometabolic disease on top of traditional healthcare and medication is evident from recent clinical studies however generalized blocking of inflammation also impacts on patients defense against infections and other immuneassociated pathologies such as cancer clearly more precise interventions that target diseasespecific cellular subsets and mechanisms are eagerly awaited miracles focus on innovation is to pave the way to precision medicine by deploying and valorizing current technological breakthroughs for a detailed definition and targeting of cardiometabolic diseaseassociated and causative cellular subsets miracle is inspired by latest advances in single cell biology multiomics analysis and newest insights in macrophage biology these advances revealed heterogeneous and dynamic accumulation of immune cell populations in tissues that associate with disease initiation development and particularly clinical outcome a notion that has immense implications on our view of chronic inflammatory diseases and their treatment unique knowhow is ready to be transferred to highly talented fellows in miracle twelve young scientists will receive tailored training that enables them to study local and environmental factors that drive cardiometabolic inflammation as well as develop strategies to suppress them via the integrated use of cuttingedge single cell spatial mapping computational and disease modeling approaches moreover they will be able to develop and polish skills in translational science by working with biotech and pharma experts and clinicians pledging clinically actionable outcomes the combination of highlevel science with topnotch infrastructures resources and solid data places miracle at the forefront to move single cell biology towards cardiometabolic precision medicine and foster the scientists of tomorrow
the delta of language

mental life fluctuates changing from moment to moment as the incessant and turbulent flow of thought rages in 3 of the worlds population the fragile equilibrium that we all hope to maintain gives way to dynamical changes resulting in psychotic episodes which after remission tend to recur over time a capacity to predict them at a clinically relevant temporal resolution similar to our capacity to forecast a thunderstorm would be a major advance in public health with the important difference that unlike thunderstorms psychosis can be prevented we test a previously untested and untestable hypothesis that meaning encoded in spontaneous speech translated into digitalized quantitative features computationally analyzed with natural language processing nlp tools can serve as a key personalized and interpretable predictor of phase transitions from remission to psychotic relapse addressing this hypothesis requires conceptual and methodological breakthroughs in our understanding of language and what signals its variability can carry for a pathophysiological process we pursue these with a synergetic combination of linguistic neuroimaging psychiatric and ehealth insights using a hypothesisdriven approach we will i define generalizable language metrics relating to symptom variability crosssectionally ii identify individuallyspecific neural signatures of psychosis and remission related to changes in these linguistic metrics using a densesampling approach iii test the metrics retrospectively as predictors of relapse in an independent longitudinal cohort and iv take the paradigm from the lab to the patients home in a prospective clinical study testing whether we can predict state change before it is catastrophic at the temporal resolutions clinically required deltalang lang thereby identifies the delta of language a linguistic change that enables the prediction of clinically significant change before it occurs
controlled subradiance in atomic arrays

in the corsair project i propose to study and control subradiance namely the suppression of collective spontaneous emission in subwavelength arrays of twolevel atoms using a new atomic physics platform understanding and controlling how an ensemble of quantum emitters collectively emits or absorbs light is vital in several areas of science and technology however the description of this problem is a challenge since it amounts to a dissipative quantum manybody problem this is why i propose to develop a new experimental research direction towards the following specific objectives i the building of an experimental platform able to create ordered 1d and 2d arrays of atoms with subwavelength spacing and highfidelity detection of excitations in the arrays ii the selective excitation of subradiant excitations ie where collective spontaneous emission is strongly suppressed i will develop an addressing scheme to populate a subradiant state with high fidelity and perform experiments demonstrating tailored light storage and retrieval and metrological enhancement by subradiance iii the understanding of how atomic correlations can be dissipatively engineered via subradiance i will strive to observe the fermionic correlations that are predicted to emerge from collective decay in arrays and i will map the phase diagram of a driven twolevel atomic array these objectives will be reached by developing dedicated new tools i will use dysprosium an atomic species with properties that allow novel cooling and trapping schemes that i propose to use in the rich spectrum of dy i will isolate a twolevel system with a narrow linewidth i will further develop a novel addressing tool that allows to drive an array with an alternating phase profile which directly excites a subradiant excitation i will rely on a broad transition to perform time and positionresolved highfidelity measurements of excitations and correlations in the twolevel arrays
space4earth

globeeye provides a new unique and complete perspective on global economic environmental and social developmentsleveraging frontier technologies in space data and artificial intelligence it delivers valuable insights for decisionmakers in financebusiness and government it contributes to overcoming out times major challenges and arguably humanitys greatest threats ofclimate change biodiversity loss and natural capital depletionin particular globeeye is focused on developing next generation sustainability esg metrics thanks to stateofthe art deep learningmodels it combines satellite data with a vast range of remote sensing groundbased alternative and observational data to generateunprecedented information sets and predictions the result is independent verifiable and actionable sustainability esg indicatorsesg indicators have vast possible applications both in the private and in the public sector but are most crucial for green finance byproviding reliable data globeeye enables and supports the transition towards green finance and sustainable investment decisionsrisk management and related regulatory effortsour space4earth proposal highlights how the women tech eu programme can globeeye step up to the next stage of growth andhow it comes at the perfect time for our development stage the programme provides the needed funding coaching and contacts totake the business planning and management steps to prepare the startup for the next phase of funding and growth
modelling and interdisciplinary science for the ecological transition building the worlds of tomorrow

humanity is facing critical challenges due to climate change and the absolute need for rapid ecological and energy transitions is not disputed to address these challenges new knowledge to produce cleaner energy build and adapt our environment in a sustainable manner and evaluate the consequences of extreme meteorological events on populations and constructions is needed the societal impact of these transitions cannot be overlooked or studied separately from these technological issuesthe objectives of the miscea programme are twofold first to contribute to these transitions through research and innovation in multiple fields and using interdisciplinary approaches second to train future scientific leaders and decisionmakers in an interdisciplinary manner to achieve excellence in the implementation of these ecological and energy transitions to achieve these goals the programme will build on the excellence of the research conducted in the 12 laboratories overseen by the beneficiary ecole nationale des ponts et chausses the institution will also rely on its strong interactions with the private sector to provide the 18 phd fellows with a fruitful environment to develop their employability skills a solid participation of industrial partners as associated partners in this research training program as well as the related activities are at the heart of the development of miscea programme and is intended to intensify during the projectthe implementation of the programme will be based on the best practices in terms of open and fair recruitment with a strong focus on diversity and excellence in the recruited cohorts the programme will also strive to foster group cohesion among the miscea phd fellows the membership of ecole nationale des ponts et chausses of the european university alliance eelisa will be an asset for the implementation of the programme in terms of information dissemination recruitment and secondment opportunities
novel aibased shopping platform for 100 product supply transparency and smart redirection from ecommerce platforms to local retail to create a resilient european retail sector

large online platforms bring increasing difficulties for retailers to attract end users to local offerings between 2016 2018 122677 retail businesses were closed in the eu city centres start to extinct local retail loses market shares to stop these trends help retailers in regaining a wide reach we built the first selflearning ai platform for retailers the core technology is a browser plugin for webbrowsers when an end user searches for a product on a shopping platform eg amazon and opens a product site alocalos search algorithm identifies the displayed product and suggests local retailers who provide the searched article within less than 1s the end user gets the recommendation for the trader together with the local shops name distance to the shop address contact data the plugin shows the availability of the searched product end users are directed to the retailers web shop to order online guaranteed delivery next day or buy it locally
harnessing mechanisms for plant carbon delivery to symbiotic soil fungi for sustainable food production

the arbuscular mycorrhizal am symbiosis between plants and symbiotic soil fungi confers key nutritional benefits to plants am fungi increase plant productivity by up to 30 by improving mineral nutrient uptake from the soil in exchange for these nutrients plants transfer more than one gigaton of photosynthetically fixed carbon each year to the am fungal network in the soil this carbon transfer has a major impact not just on plant and fungal physiology but also on the global carbon cycle my previous work identified a molecular pathway in plant roots that is activated during fungal colonization of root cells and transfers fixed carbon to am fungi in the form of lipids this finding represents a breakthrough in the field of am symbiosis as we were able to describe for the first time how and in which form carbon is delivered to am fungi my discovery unlocks an opportunity i propose to engineer the model crop rice to maximise carbon delivery to the fungal mycelium by exploiting the mechanisms underpinning carbon allocation to am fungi this approach could lead to enhanced nutrient uptake by promoting the symbiotic association thereby reducing the need for synthetic fertilizer moreover it also has the potential to increase carbon sequestration and soil fertility however it is currently unknown how plant carbon metabolism is altered at a whole plant level to increase carbon flux to the fungal mycelium and how plants control the amount of carbon allocated to am fungi to achieve this ambitious aim i will exploit the recent technological advances in genetics carbon tracing and single cell transcriptomics to map the carbon allocation pathway from leaves to roots and to am fungi at single cell resolution aim 1 and identify the genetic and transcriptional regulators of this pathway aim 2 these insights along with established knowledge will be used to maximise carbon delivery from crop plants to the fungal mycelium in the soil aim 3