Dragon09/odtu_chatbot huggingface dataset:
laser bioprinting device and in vivo applications

phosprints dlib platform technology is based on a compact and automated laser bioprinter and protocols for highspeed and highprecision invivo printing of tissues with autologous human body characteristics the bioprinter relies on the laser induced forward transfer lift technique to accomplish highly accurate and costeffective printing of tissues the bioprinter system is associated with protocols for cell isolation from autologous biopsies cell expansion invitro and cell printing invivo this is a truly new approach that allows for realtime tissue engineeringrepair in complex medical conditions dlib capabilities will enable the introduction of a laser bioprinting technology in surgery operations starting with enterocystoplastyaugmentation in cystectomy bladder cancer patients as the selected gotomarket application
help me grow artificial cognitive development via humanagent interactions supported by new interactive intrinsically motivated program synthesis methods

building machines that interact with their world discover interesting interactions and learn openended repertoires of skills is a longstanding goal in ai this project aims at tackling the limits of current ai systems by building on three families of methods bayesian program induction intrinsically motivated learning and humanmachine linguistic interactions it targets three objectives 1 building autonomous agents that learn to generate programs to solve problems with occasional human guidance 2 studying linguistic interactions between humans and machines via webbased experiments eg properties of human guidance its impact on learning human subjective evaluations and 3 scaling the approach to the generation of constructions in minecraft guided by real players the researcher will collaborate with scientific pioneers and experts in the key fields and methods supporting the project this includes supervisors joshua tenenbaum program synthesis mit and pierreyves oudeyer autonomous learning inria diverse collaborators and an advisory board composed of an entrepreneur and leading scientists in developmental psychology and humanrobot interactions the 3rd objective will be pursued via a secondment with thomas wolf cso at huggingface a worldleading company in the open source development of natural language processing methods and their transfer to the industry by enabling users to participate in the training of artificial agents the project aims to open research avenues for more interpretable performant and adaptive ai systems this will result in scientific eg interactive program synthesis approaches societal eg democratized ai training and economic impacts eg adaptive ai assistants the dissemination communication and exploitation plans support these objectives by targeting scientific ai cognitive science industrial video games smart homes and larger communities gamers software engineers large public
2d semiconductor ferroelectric based switchable optoelectronics

the world is foreseeing future electronics in demand of miniaturization quantum efficiency and low power consumption with the emergence of novel twodimensional 2d semiconductor materials 2d materials ultrathin size band gap engineering and structural designing demonstrates highperformance optoelectronic devices but lacks novel materials or manipulation mechanisms to achieve low dark current high absorptionemission efficiency and low cost of production ferroelectric materials can modulate the mobility carrier concentration and band alignment in these 2d materials resulting in nonvolatile control of photonic and optoelectronic properties in2se3 a ferroelectric semiconducting material by virtue of its peculiar crystal structure inheriting both inplane ip and outofplane polarization oop at room temperature is a game changer that manipulates the band bending and carrier transport can be nondestructive and controllable in the ferroelectricoptoelectronic hybrid systems the 2d semiconductor ferroelectric switchable optoelectronics 2dsfso propose the integration of cvdsynthesized largarea in2se3 and mos2doped mos2 heterostructure devices with multifunctional properties the peculiar oop of in2se3 can switch the band alignment in the hydrid system from type ii to type i exhibiting enhanced photodetection and luminescence within the same device features a switchable optoelectronic system the cornerstones of the proposal are a integrating large area 2d ferroelectric and semiconductor thinfilms by epitaxial growth b adoption of various spectroscopic and microscopic techniques to analyze the interface physics to understand the band switching mechanism resulting in multipurpose optoelectronic devices the largearea 2d ferroelectric platform can act as a universal platform to modulate the 2d semiconductor hybrids that can facilitate functional devices that are indispensable component for the nextgeneration internet of things system
threedimensional shockwaveboundary layer interactions hypersonic turbulent flows

hypersonic vehicles with velocities exceeding five times the speed of sound are pivotal for space exploration reusable launch technologies and rapid civil transportation a major challenge in advancing these technologies is the complex phenomenon of threedimensional shock wave boundary layer interaction sbli sbli occurs when rapid shock waves from vehicle control surfaces intersect with the surrounding turbulent air layer understanding this phenomenon is crucial due to its impact on control drag heat transfer noise and structural integrity this research aims to unravel the physics of sbli in hypersonic conditions using direct numerical simulations dns dns allows us to capture the realgas effects and complex vehicle geometries in order to explore threedimensional effects and complex shock patterns successful completion of this research will provide insights into flow distortion unsteadiness phenomena and shockinduced gas effects bridging the knowledge gaps and improving existing computational models for hypersonic applications this research therefore carries significant implications for shaping the future of aerospace technology and exploration given the strong implications for aerodynamics especially in the emerging hypersonic vehicles shedding light on unique hypersonic effects and knowledge transferability from supersonic regimes
solving the dynamic range problem of hearing deciphering and harnessing cochlear mechanisms of sound intensity coding

our sense of hearing processes stimuli that differ in sound pressure by more than six orders of magnitude yet while the presynaptic inner hair cells ihcs cover this wide dynamic range each postsynaptic spiral ganglion neuron sgn encodes only a fraction and the intensity information is then reconstructed by the brain this socalled dynamic range problem of hearing is known for decades but how sound intensity information is decomposed into different neural pathways remains elusivein vivo recordings report major functional sgn diversity and ensembles of such diverse neurons collectively encode intensity for a given sound frequency recently a major heterogeneity of afferent sgn synapses with ihcs as well as different molecular sgn profiles have been discovered how these relate to the diverse sound coding properties of sgns remains to be elucidateddynahear sets out to close this gap by testing the hypothesis that an interplay of synaptic heterogeneity molecularly distinct subtypes of sgns and efferent modulation serves the neural decomposition of sound intensity information this is enabled by innovative approaches to cochlear structure and function some of which we have recently established while others will be developed in dynahear we will combine electrophysiology optogenetics molecular labelling and tracing multiscale and multimodal imaging with computational modeling we will elucidate the molecular underpinnings of afferent synaptic heterogeneity decipher mechanisms establishing such heterogeneity and relate them to functional sgn diversitydynahear promises to fundamentally advance our understanding of sound intensity coding and contribute to solving the dynamic range problem of sound encoding moreover the proposed work will help to better understand synaptic hearing impairment assist current hearing rehabilitation and pave the way for innovative therapeutic approaches such as gene therapy and optogenetic restoration of hearing
strategic infrastructure for improved animal tracking in european seas

in order to protect and manage marine species and habitats there is an immediate need for the creation of robust evidencebased methods and integrated platforms therefore there is a need to undertake marine research projects that are developed and implemented collaboratively strategically and at a sufficient scale animal tracking is the study of animal movements across various spatiotemporal scales local regional continental global minutes to decades although animal tracking is not a new field of research only recently have these electronic technologies necessary to follow marine animal movements across larger and longer scales have only recently become widely available strategic infrastructure for improved animal tracking in european seas straits will leverage ongoing acoustic tracking projects across the four corners of europe ie north channel danish straits straits of gibraltar and the bosporusdardanelles by expanding efforts to connect initiatives on speciesbased biodiversity management while developing data management plans and networking channels to deliver data to national and international governing bodies coordinating aquatic animal tracking and environmental observation efforts at a scale that will be usable to make progress on international marine management and planning is a major step towards an operational european tracking network etn that contributes to major european biodiversity initiatives conservation and policy
multihazard lowcarbon resilient technologies and multiscale digital services for a futureproof sustainable usercentred built environment

the built environment is illprepared for more frequent and increasingly intense climaterelated extreme events these cause severe socioeconomic losses and adversely affects public health recent scientific and technological advances in the construction industry provide timely solutions for improving the resilience of buildings for specific hazards but these are often not cost effective or ecofriendly there is a lack of frameworks for assessing the climate resilience making it challenging to develop optimal solutions for multihazard scenariosmulticare will address this challenge by developing innovative multicriteria decisionsupport frameworks and providing plug play lowcarbon resilient technologies for improving the multihazard resilience of our built environment in a costeffective reliable and sustainable manner a suite of multidisciplinary digital services and tools will be developed for multihazard resilience assessment design operation and management across multiple scales material component building neighbourhooddistrict this will enable stakeholders to make more informed decisions to select materialssolutions and build resilient supply chains even in case of cultural heritage buildings we will demonstrate our results in largescale pilots 3 buildings 4 neighbourhoodscities in different countries with diverse conditions a usercentred inclusive and participatory approach will be consistently implemented at all stages of the project for citizens engagement and for extending the durability of multicare impact to achieve the project goals multicare combines 21 partners covering the whole technical value chain required for solutions in resilient and sustainable buildings the consortium includes experience in social sciences user engagement and training the consortium will support clustering activities with other projects aimed at sharing knowledge experience and raising public awareness of climate resilience
highefficiency highpower laser beaming inspace systems based on sic

highpower laser transmission hplt is one of the most promising wireless power transfer technologies due to its ability to efficiently transmit energy in space opening the path to new potential applications the hplt uses monochromatic light to transfer energy to a remote system via a laser power converter lpc today gaas lpcs possess record efficiencies with values around 69 at intensities around 11 wcm2 however they are limited by a strong decrease in the efficiency with light intensity due to the unavoidable series resistance losses caused by their low energy gap egap repowersic aims to develop a novel highefficiency laser converter for intensities around 1kwcm2 which will create a breakthrough in hplt the project tackles current hplt limitations using two strategies i introducing new materials with higher energy gaps and ii developing novel lpc architectures repowersic is based on silicon carbide sic poly types with egap 23 ev 50 higher than for gaas and on innovative device architectures with rs104 ohm cm2 10 times larger than gaas this revolutionary technology seeks to i obtain a power converter with an efficiency 80 ii increase the power density transferred more than 1 order of magnitude when compared to the current technology and iii the development of a green material manufacturing technology for ecofriendlier and cheaper devices repowersic project offers a paradigm shift transferring power in the order of kilowatts or higher thanks to its scalability the larger power density will allow to reduce the lpc surface and the battery size or even remove it completely this highriskhighgain technology offers new disruptive solutions to power remote systems being of great interest for satellites landers rovers and inspace energy transmission for innovative applications it also creates a new technology avenue in sic materials and opens new domains of application
metal organic frameworks for hydrogen production by photocatalytic overall water splitting

the decarbonation of several sectors energy transport carbon intensive industries like steel or ammonia is depending on the availability of low carbon hydrogen however current hydrogen production processes are mostly carbonated and existing decarbonated processes suffer from several disadvantages high costs issues for coupling with intermittent electricity etc the mof2h2 project positions itself as a game changer to produce hydrogen from water through a more sustainable process photocatalytic overall water splitting using nonnoble materialsbuilt upon a breakthrough discovery made by espci and upv recently patented mof2h2 aims to develop a worldrecord efficiency for sundriven clean hydrogen production reaching 5 solartohydrogen efficiency using metal organic framework mof as photocatalysts to this end mof2h2 will gather 10 partners and affiliated entities for 36 months including some of the best researchers in the world in their fields for demonstrating three labscale photocatalysis prototypes with finetuned materials dedicated to hydrogen production hence reaching trl4 after having a clear vision of overall specifications through wp1 a firstgeneration mof will be synthetised and optimised through metal nanoparticles codeposition in wp2 also guided by modelling and advanced characterisation from wp3 to reach even higher efficiencies a refined mof will be produced in wp4 following metalligand substitution the mof synthesis will be optimised and upscaled under sustainable and economically viable conditions in wp5 and followed by mofs integration in a labscale demonstrator for showing the reliability of their operation at labscale and their longterm performance a complete sustainability and an economic potential assessment will be conducted in wp6 through a tailored dissemination and communication strategy elaborated in wp7 the project is expected to have a high impact on both the academic and industrial sectors
unerstanding and predicting the resilience of marine ecosystems

the impacts of climate change are now more pervasive than ever before in human history marine ecosystems have been particularly impacted by climate change with several of them being at the brink of collapse as a response the international efforts to reduce carbon emissions have never been so ambitious however even in the most optimistic co2 emission scenarios the planet will continue to warm and experience the effects of climate change over the coming decades for this reason several international conservation targets have been set to maintain the resilience of marine ecosystems to climate change despite these calls resilience research has been hampered by a lack of coherent ways to quantify it and the limited availability of empirical dataromance overcomes these limitations by taking an interdisciplinary approach to understand and predict the resilience of threatened mediterranean marine ecosystems to current and future climate change more specifically in romance i will 1 study the resilience of marine communities to past marine heatwaves 2 develop a deep algorithm to detect early warning signals of collapse and 3 use cuttingedge to predict the resilience of marine communities to different climate change disturbances the results arising from romance will provide relevant information for the application of eu directives especially related to climate change adaptation and coastal resilience as well as a great leap for the applicants career with valuable training and highlevel publications expected
prompt gamma time imaging a new medicalimaging modality for adaptive particle therapy

particle therapy pt is potentially the most conformal and selective form of radiotherapy but its clinical outcome is still limited mainly because of the numerous sources of uncertainties affecting both treatment planning and delivery the objective technical complexity of predicting and verifying the ion path in the patient has led to conservative treatments that in order to increase safety sacrifice efficacy having the full control of the dose gradient within the patient in real time would allow to fully exploit the ballistic advantage of pt the healthytissue sparing effect can be enormous further encouraging the use of pt for paediatric malignancies alternatively the target dose could be increased to achieve better tumour control and dose escalation procedures could be envisaged to treat radioresistant tumours with the aim of increasing both safety and efficacy i propose a new medicalimaging modality to monitor pt treatments in realtime it exploits the signal of secondary prompt gammarays emitted from nuclear interactions in the patients to recover information on ion range tissue density and dose i refer to this technique as prompt gamma time imaging pgti an original reconstruction algorithm and a dedicated detector will be developed to prove the clinical advantages of pgti and bring this technique at the doorsteps of its clinical application i will develop models to correlate the images provided by pgti to realtime dose distributions in order to enable the use of this technique for adaptive dosimetry pgti will be also explored as a potential approach to proton tomography for the first time it would be possible to control the uncertainties affecting both treatment planning and treatment delivery with a unique device pgti may be the missing step towards the birth of imageguided particle therapy
targeted nanoformulations for treatment of mrsa a multicomponent platform for nanoformulated treatment of resistant microbial infections

many bacteria that cause infectious diseases develop resistance to not only the primary antibiotic treatments available in the clinic but also to drugs of last resort which often require long treatment periods and come with significant side effects at the same time many promising lead compounds with high activity and wide therapeutic windows have failed to progress to clinical trials due to poor solubility protein absorption or other difficulties in formulation eg low drugability leadtotreat proposes a new solution to these challenges by introduction of a platform for future infection treatment enabling targeted delivery of novel lead compounds with low drugability as well as synergistic combinations of antibiotics and potentiators in a nanoformulation a novel dual targeting approach with both direct targeting toward the pathogenic bacteria as well as to areas of inflammation will be employed this platform technology will be demonstrated by converting a highly active but insoluble and protein binding novel compound into targeted nanoformulations for treatment of methicillinresistant staphylococcus aureus mrsa infections with proven in vivo and in vitro safety furthermore leadtotreat aims to identify novel synergistic combinations of antibiotics and potentiators and convert these into highly active targeted nanoformulations for treatment of mrsa infections leadtotreat will have significant impact on the future treatment of microbial infections by demonstrating a pathway to codelivery of synergistic combination of existing antibiotics as well a path way to revitalize the huge library of abandoned lowdrugability lead compounds from an innovation perspective it is expected to also develop broadly applicable targeting tools for mrsa and roadmap for other indications the project will be managed by sintef norway involving narodowy instytut lekow national medicine institute nmi poland and nanotag biotechnologies gmbh ntb germany
autosteer taxi at airport

astair autosteer taxi at airport aims at designing a support tool for fully automated ground operations supervision increasing the level of automation has the potential to increase airport ground traffic capacity while mitigating the impact on human workload and the environment for example ai will be able to initiate timely actions such as giving clearances to vehicles on the airport aprons and taxiways according to optimal routes and to control fleet of autonomous tugs to increase ground capacity even more humancentered designed tools are needed to supervise predict and take over the automation to take full advantage of its potential astair aims at defining automation capable of performing complex tasks involved in the management of surface engineoff and conventional taxiing while maximizing human engagement the key to optimize the overall performance of the collaboration between humans and ai is to adapt intelligent systems to operators modus operandi this will ensure logical consistency across manual and automated control in astair we will propose interactive tools and adaptative ai algorithms that take advantage of operators expertise for controlling and engaging with the automation at diverse levels