Dragon09/odtu_chatbot huggingface dataset:
realtime biomarker detection systems for rapid medical decisionmaking in cancer and cardiac diseases

realcare is a cuttingedge research initiative focused on developing and validating nextgeneration pointofcare poc systems that detect essential biomarkers in human biofluids in realtime these systems are designed to be compact energyefficient and integrated with extended reality interfaces with a specific emphasis on cancer and cardiac diseases in demanding clinical settings realcares approach includes advanced biomarker detection technologies such as microfluidics and new generations of microneedles labelfree electrochemical biosensors using 2d materials optical sensors utilizing crispr biological amplifiers combined with fluorescent microscopy and scalable spr with energyefficient electronic readouts ai data processing and wireless communication units additionally realcare will design portable interoperable and adaptable poc systems that integrate the biomarker detection technology with vital sign monitoring including advanced data analytics and ai methods the initiative also focuses on developing intuitive extended reality interfaces such as augmented and virtual reality to visualize biomarker data in realtime and facilitate rapid medical decisionmaking in integrated incare environments and workflows rigorous clinical validation studies will be conducted in relevant clinical settings including the surgery room icu and patients home to ensure accuracy reliability usability and impact on patient outcomesrealcare places special attention on including a diverse patient population in their studies to validate the effectiveness of the developed systems data quality interoperability and medical data protection are key considerations in realcares strategy based on our unique poc technological platform and our strong multidisciplinary consortium partnership we propose promising labtomarket paths with the potential for significant societal impact
extending design thinking with emerging digital technologies

extendt2 uses emerging technologies et to enhance the pedagogical value sustainable digitization and potential for widedeployment of design thinking dt dt is a promising transformative pedagogical innovation based on engaged interdisciplinary learning and the growth of 21stcentury 21c skills for everyone through entrepreneurial cocreation like other such innovations however it has yet to pull its potential weight in terms of impact in educational transformation extendt2 will use designbased research to supportprovide evidence for pedagogical transformation via dt enhanced by et it will employ already institutionalized homegrown and openaccess digital expressive media of advanced technical readiness for students to engage in dt projects it will also uniquely integrate with these expressive media et ie enhanced authorable learning analytics augmented reality 3d printingscanning and virtual robotics to leverage digital implementation monitoring and assessment of dt projects by teachers in schools implementeddeveloped in different social contexts across 6 european countries extendt2 will explore the risks and potential of the pedagogical use of et and how they support 21c skills in turn increasing the scope transformative potential and applicability of dt with et in mainstream schooling extendt2 will invite and inspire teachers and other stakeholders to design and implement such projects by running original strategic teacher professional development providing courses and guidelines for them to design implement and evaluate dt projects in their classrooms the extendt2 consortium includes 8 research sites with complementary interdisciplinary academic expertise to support project development and at the same time with maintained active and sustainable connections with educational institutions and policymaking centers across 6 european countries
securing international ip rights for food tech innovation prolonging shelflife of plantbased products

die frischemnaufaktur dfm is a food tech startup from saxonyanhalt a structural week region in eastern germany the deep tech food startup was founded by dr jenny müller in 2017 our female founder is still fulltime operating ceo and leading the company to grow further dfm specializes in developing groundbreaking foodtechnology aiming to prolong the shelflife of plantbased ultrafresh products like eg freshcut fruits salads and drinks the very short shelflife of 14 days leads to a huge amount of foodwaste in private households and retail as they have to throw away perished productswith its innovation and overall vision of die frischemaufaktur tackles two societal challenges 1reducing and preventing unnecessary food waste and thus efficient use of resources and battling hunger2making healthy eating easy and convenientdfm develops production processes to create products that last far longer than competitive products the prolongation of shelflife can be up to factor 30 eg dfm developed a process to make freshcut pineapple chunks last up to 6 weeks for this process patents are filed the best performing product is fruit and herb infused wateradding fruit to water is the most natural way to give water a delicious taste without added sugars sweeteners or anything dfm has developed a patented process that solves the short shelf life and offers infused water with 3 months shelflife two patents for the production process of infused water in germany were already granted an international pct patent was filed still in q1 2022 dfm has to decide for which countries in the world a patent shall be pursued for each country significant costs of 310 teur arise covering those costs is extremely difficult for a startup still having a valid patent in the most important countries worldwide can offer a big chance tooa grant from women techeu would allow to file patents for china japan india brazil canada mexico etc
micromechanical pump for next generation insulin delivery systems

prisma is a revolutionary thinfilm micropump realized with novel ceriabased oxides actuating materials in the frame of the fetopen biowings project which can be used as an innovative pumping system in wearable insulin delivery devices for the treatment of diabetes the integration of the prisma micropump in insulin patch pumps addresses the 3 most important pain points that still keep the vast majority of diabetic patients away from this lifesaving treatment1 size which is more than two orders of magnitude smaller than state of the art2 higher drug delivery accuracy within the 5 range ensures the highest therapeutic efficacy3 drastic reduction in energy consumptionbesides the shortterm vision to realise extremely compact and accurate patch pumps the long term goal is to allow the realisation of multidrug delivery systems making real the muchlauded multihormone treatmentthe main objective of this project is to validate the pump and its manufacturing process in a real operating environment proving to system integrators that all specifications are consistently met to pave the way for the postproject system integration and clinical validation this will pave the way to the launch of a startup company that will take care of the final steps of the development roadmap and will establish longterm cooperation agreements with prominent medical device manufacturers for the integration of prisma in nextgeneration single and multihormone smart patches
electrocatalytic activity and dissolution stability of high entropy alloys at the atomic scale

the covid19 pandemic and the international conflicts are now having a significant impact on energy systems around the world potentially slowing the expansion of clean energy applications european energy safety can only be ensured by accelerating the development of cheap and clean energy catalysts for the chemical reactions in energy conversion and storage such as fuel cells and watersplitting are critical to achieve largescale clean energy production however the scarcity of noble metals such as pt ir currently the stateoftheart catalysts limit their apllications co fe and ni oxides are proved to be earth abundant alternative catalysts corrosion of these transition metalbased electrocatalysts is inevitable particularly for the oxygen evolution reaction of water splitting transition metalbased high entropy alloys heas the homogeneous mixtures at the atomic level of at least 5 transition metals exhibit high electrocatalytic activity compared to binary oxides and also high corrosion resistance compared to stainless steels these unusual properties of heas arise from atomically ordered but elementally disordered structures which are poorly understood i will explore for the first time the surface disorder of heas at the atomic scale by synthesizing nanofilms of 5element alloys in ultrahigh vacuum uhv and using advanced surface analytical techniques mainly stm xps i will perform electrochemical measurements on synthesized model heas surfaces in a homemade movable reaction cell that can be connected to different uhv systems in order to correlate atomicscale structures with catalytic and anticorrosion properties i will merge my previous expertise in stm xps techniques and surface reactivity of ternary alloys into the hosts experience in thin film alloy synthesis and catalysis the overall objective of this project is to find the balance between the activity and the stability of heas for water splitting electrocatalysis
a mechanistic understanding of arctic river methane emissions

constraining the global methane ch4 budget is an urgent need to predict future climate rivers are an important source of ch4 to the atmosphere with surprisingly high rates of emissions in northern regions the high emissions from arctic rivers are driven by lateral inputs from surrounding land and are very sensitive to climate but challenging to assess given the severe impacts of ongoing climate change at high latitudes ch4 emissions from arctic rivers have a large potential to further increase but we are unable to quantify and predict future emissions due to a lack of processbased models that represent river ch4 emissions the limitation arises from our poor understanding of river arctic ch4 cycling with a clear lack of mechanistic studies that are foundational to advancing processbased models arimeth aims to address this issue by initially generating the mechanistic understanding of arctic riverine ch4 cycling subsequently the project will develop the modelling tools to predict current and future ch4 emissions to achieve this goal the project will conduct a comprehensive approach including a wholestream warming experiment highresolution measurements with stateoftheart ch4 sensors coupled with remote sensing data panarctic sampling campaigns to find the sources of ch4 using carbon radioisotopes and developing deeplearning mechanistic models for river ch4 emissions the outcomes of arimeth will offer groundbreaking insights into river ch4 cycling spanning from the river itself to the catchment and to panarctic scale finally arimeth will determine if ch4 emissions from arctic freshwaters are underestimated when lateral fluxes to rivers and emissions are not accounted for this is critical to predict future trajectories of global warming as well as discover unrecognised feedbacks between the terrestrialaquaticatmospheric compartments in the broad carbon cycle
mechanical metamaterial and tribology metatrib project structure dominatedcontrolled frictional behaviour

this proposal presents a novel concept to integrate mechanical metamaterials and tribology fields to develop the next generation of adaptable tactile grippers the project seeks to combine unique structural properties of mechanical metamaterials and contact mechanics properties of soft polymers to develop a new generation of grippers with controllable and switchable frictional properties metatrib project will developed passive mechanical metamaterial mechanical metamaterials are artificial structures with mechanical properties defined by their structure rather than their composition passive mechanical metamaterial does not need additional external energy to answer to a stimulus by opposition to active mechanical metamaterial the adaptability of the material is preprogrammed in the internal structure during conception and manufacturing step this kind of smart material have the advantage to do not need additional actuator electronic and all the control informatics system associate to realised given tasks this is a great plus in many industries for a fast and efficient integration in the production line to reduce product weight and price this new class of materials may be made soft so mechanical metamaterials provide compliance that is critical for adaptability the metatrib project proposes to combine two areas of research the tribology which studies the interaction between contacting surfaces in relative motion and the metamaterial mechanics which aims to develop new structural materials with unique properties by experimenting and theoretically modelling i envision to link contact mechanics behaviour of mechanical metamaterials to their internal microstructure the simultaneous measurement of mechanical deformation and contact mechanics properties is the novelty of the metatrib project
liquid crystals in flow a new era in sensing and diagnostics

liquid crystals lcs are the delicate phases of matter that exhibit molecular order fluidic nature and birefringent optical properties lcs have been developed as materials suitable for energy and labelfree reporting of the chemical changes occurring at their interfaces such as the presence of biomolecular gaseous or nanomicroscopic species or the occurrence of the chemical or biochemical interactionsreactions involving these species lcwater interfaces were employed in most promising sensors as a medium to facilitate the interaction of the lcs with the species although promising the studies reported were limited to the stagnant lc systems limiting their use in continuous sensing and diagnostic applications this project is designed to open a new era in the sensing and diagnostic systems involving the use of lcs by introducing a microfluidic flow the system of interest differs significantly from their counterparts with the introduction of lcwater interfaces that facilitates the exchange of analytical species during flow however the design of such system is challenging and critical understanding is required to proceed towards the next generation lcflow platforms we aim to design highly sensitive dynamically tunable and labelfree lc based fluidic sensing platforms and therefore this proposal is structured to understand 1 the effect of the presence of the soft interfaces and the lc interfacial anchoring on the flow regimes and the lc director profiles 2 the role of the type scale shape and the symmetry of the chemical heterogeneity at the contacting surfaces on the lc flow and configurations 3 the dynamic influences of the changes occurring at the contact interfaces on the configuration and the optical appearance of the lc medium the proposal is positioned at the intersection of fundamental knowledge generation and application it is highly interdisciplinary in nature involving physics chemistry materials science and engineering
major transitions made easy in search of genetic preconditions that help the repeated evolution and loss of fungal multicellularity

in this project we aim to study the genetic mechanisms of convergent evolution by uncovering the mechanistic details of two highly replicated transitions in organismal complexity convergent evolution is widespread in nature even on macroevolutionary timescales to explain its pervasiveness recent studies have proposed the idea of predisposing precursor traits that if easily co or exapted for new functions can increase the likelihood of convergence however most of these hypotheses remain untested because of the lack of tractable model systems we identified two fungal case studies that offer optimal model systems to mechanistically test the hypothesis that precursor traits increase the likelihood of convergence i 811 repeated origins of complex multicellularity in mushrooms and ii 14 losses of multicellularity in yeastlike fungi we hypothesize that both of these occurred by the repeated exaptation of ancient morphogenetic programs and in the case of yeasts additionally by the emergence of mechanisms for bypassing multicellular growth our hypotheses imply that both complex multicellular and yeastlike lifestyles are only a few mutations away for any filamentous fungus because precursor traits shorten the mutational path for evolution although these are bold hypotheses we obtained promising preliminary results that support them we designed an experimental plan involving phylogenyaware comparative omics reverse genetics and evodevo which when combined with our preliminary results will provide a robust entry point for testing the role of predisposition in convergent evolution and will ultimately allow us to replay the tape of major fungal transitions in the laboratory we expect this project to contribute to uncovering the general principles of convergent evolution and to be one of the first to mechanistically test if certain precursor traits can promote convergence
control of instabilities in rotating flows conducting electricity dynamo seeds and subcritical transition to mhd turbulence in stellar objects

modeling magnetic field generation by dynamo instability in stellar objects is a longstanding challenge with farreaching implications for stellar evolution theory underlying motivations are exemplified by the need to understand stellar spindown and accretion rates in protostellar discs which are known to be dynamically impacted by magnetic fields the interest sparked by recurring discrepancies between predictive evolution models and rapidlyprogressing observations drives the current research into the characterization of dynamo mechanisms in stellar objectsthis important challenge cannot be solved analytically due to the strong nonlinearities of the magnetohydrodynamics mhd equations solving it therefore requires the development of innovative numerical approaches in many astrophysical flows infinitesimal magnetic seeds cannot be amplified by the flow whereas finiteamplitude magnetic seeds with a favourable spatial structure can drive through the lorentz force nonlinear feedback the very flow motions on which they subsequently feed by subcritical dynamo instability this situation is particularly relevant for radiative stellar layers or for the innermost regions of protostellar discs where the history of perturbations can thus define the magnetic fate of the object yet classical stability methods fail to systematically characterize subcritical dynamo solutions and identify their critical dynamo seeds the circe project will tackle this theoretical obstacle by developing the recent mathematical tools of nonlinear stability analysis based on adjointbased optimal control for mhd flows the aim of circe is to identify the leastenergy perturbations that can trigger subcritical dynamos and transition to mhd turbulence in models of a radiative zones and b protostellar discs and to predict how the resulting transitions determine rotational dynamics and accretion rates
cognitive sparse mimo automotive radar with embedded communications enabling safer driving in greener environment

automotive radar provides a 360degree surround sensing capability under all weather conditions and makes driving safer with or without a hand on the steering wheel thus presenting itself as viable and affordable solution to eus ambitious vision zero goal in road safety future automotive radar devices need to adhere to cost and size restrictions while still addressing the required performance requirements such as high resolution 5dimensional point cloud sensing increased susceptibility to mutual interferences and embedded v2x communication in automotive sensing in a lowpower lowcost and compact design in response to that this fellowship aims to investigate cognitive sparse mimo automotive radar sensing with embedded communication which can counteract the dilemmas between performance and overhead in turn enabling a safer driving in a greener environment so far no existing automotive radar has attempted to add cognizance of mimo array configuration and transmit waveforms for performance improvement the proposed work goes against the common regime of conventional automotive radar where both a fixed mimo array and transmit waveforms are assumed regardless of a dynamic road scene and embarks upon a novel sparse automotive sensing paradigm with cognition where array reconfigurability and waveform optimization are incorporated into the perceptionaction cycle by antenna selection via radio frequency switches successful achievements of this fellowship will lead to a timely and useful contribution to automotive radar and relevant communities including 1 novel techniques of joint automotive sensing and full duplex communication 2 systematical simulations and experimental data 3 an initial prototype implemented on a digital software defined radar platform in the long term the successful achievement of this project will reduce deaths and injuries on european roads once upon commercialization
uncovering the defensome genetic toolkit of marine embryos in the context of climate change

intensification of the frequency and severity of harmful algae blooms habs has recently increased due to climate change and global warming affecting environment human health as well as local economies based on fishing andor recreational activities some diatom species representing half of the primary production of the oceans synthesize biotoxic compounds derived from secondary metabolites known as oxylipins which are highly produced during habs upon cell damage several studies have reported that polyunsaturated aldehydes puas among the most studied oxylipins have negative effects on many marine organisms reporting impairment of growth reproduction cell homeostasis and detoxification however the genetic mechanisms that regulate these physiological responses are still unknown it has been proposed that some organisms could have a set of conserved genes that will be activated upon puas exposure the so call defensome but few members had been described the larvacean oikopleura dioica is one of the many organisms affected by puas in addition of being among the most abundant components of the mesozooplankton o dioica is an evolutionaryknockout for many signalling pathways being a perfect candidate to study biological adaptations by gene lossusing o dioica as animal model we aim to identify conserved defensome genes shared among marine animals and to study the developmental pathways affected by biotoxins to achieve this goal we will combine transcriptomics rnaseq chromatin accessibility atacseq and gene interference approaches rnai dnai cas9crispr the results of this project will be key for understanding the genetic adaptive response of marine embryos to the biotoxic impact of habs on marine environments worldwide moreover the discovery of a conserved set of defensome genes across different groups of marine animals could provide a useful set of panmarkers of environmental stress for be applied in many different species