Dragon09/odtu_chatbot huggingface dataset:
connecting quantum hopfield networks

classical neural networks nns are architectures successfully employed in machine learning ml tasks such as pattern recognition analysis of big data and digitalization currently a full development of quantum technologies is considered the most promising improvement on classical ml motivated by this various contributions are focusing on the emerging field of quantum nns regarded as the backbones of quantum ml though strategic to tackle digitalization challenges of europe concerning eg secure information a unifying framework for quantum nns is still missingthis project aims at contributing to the general effort of defining the main features of quantum nns and further exploiting them for practical purposes more concretely it considers quantum generalizations of associative memorytype nns such as the prototypical example referred to as hopfield nn to start with associative memories can perform relatively easy tasks such as pattern retrieval however they are employed in more complex architectures too as it is the case of hopfield nns when embedded in boltzmann machines stateoftheart quantum associative memories exploit quantum spin nns and bosonic platforms describing them as markovian or memoryless open quantum systems importantly these setups are relevant for condensed matter and photonic implementations inserting these proposals in a more general theoretical frame can provide insights to answer timely questions such as storing nonclassical states accounting for nonmarkovian effects on the retrieval task characterizing the storage capacity the challenge of this proposal consists in unveiling the bridge between markovian quantum hopfieldtype nns and the formalism of quantum maps fulfilling such a gap further enables to use associative memories for designing nearterm quantum devices that are robust to detrimental effects of the environment which generically cause deterioration of eg coherence and entanglement
services for hydrogen innovation facilitation and testing

h2shift services for hydrogen innovation facilitation and testing aims to create the first open innovation test bed for innovative hydrogen production technologies open to startups and smes from europe and globally h2shift will be a single entry point offering open access to unrivalled resources innovative infrastructures unique expertise and capabilities arranged in a challenging acceleration programme the proposed innovation model combines hydrogen production testing services including 7 test lines grouped in 4 clusters advanced water electrolysis biohydrogen directsolar hydrogen production hydrogen production in offshore environmenttechnology upscaling services such as prototyping for industrial scalability and computational modellingnontechnical services among technoeconomic and environmental assessment legal and regulation compliance and business developmentthe initiative boosts the clean h2 ju sria on the path towards the upscaling of unmatched and competitive hydrogen production technologies distinctively trailblazing innovation in hightemperature and aem electrolysis biohydrogen directsolar and offshore h2 production to build a complete portfolio with existing oitb projects dedicated to ael and pem technologiesh2shift kickstarts a collaborative ecosystem throughout europe that links research academia and industry along with final investors working closely with startups and smes to advance groundbreaking solutions that will be demonstrated in industrial environment to advance their technology readiness and market uptake remarkably h2shiift scales up an open payperuse hub intended to circumvent expensive costs for earlystage innovators lowering investment risks for potential investors and contributing to attract private capital for innovation it contributes to make hydrogen a key part of a cleaner and more secure energy future and a catalyst for eu leadership in innovative hydrogen technologies
enzymatic chemistry acting on alkyl chains

as humankind sets out to move towards a sustainable future the production of organic commodity and speciality chemicals drugs and other small molecules of interest will gradually incorporate more biochemical processes some of these products may be obtained directly from engineered organisms while others may be generated ex vivo either through purely enzymatic processes or by interfacing biological chemistry with organic synthesis harnessing the efficiency selectivity and diversity of enzymatic reactions found in nature is key to reaching the goal of a fullyfledged biobased economysome enzymes can carry out demanding reactions that have little or no equivalent in synthetic chemistry in particular the ability of certain enzymes to selectively act on unactivated carbon centers has attracted much attention as they can be used to functionalize typically intractable positions with high precisiona particular group of bacteria cyanobacteria tend to incorporate saturated fatty acidderived moieties into their natural products in many such structures we find modifications and decorations that can only be explained by the action of regio and stereoselective enzymes many acting on unactivated carbon centers it is this richness of alkylchain modifying biocatalysts that we aim to reveal with this proposal we will use several unusual structural motifs from acyl moieties in cyanobacterial natural products as starting points for enzyme discovery these will include ch bond activating enzymes as well as those acting on cc bonds we will bring to light an arsenal of biocatalysts that can be used to selectively functionalize or modify a variety of alkyl chain positions that would otherwise be inaccessible to conventional chemical synthesisgreasedlightning blends discovery and hypothesisdriven research at the chemistrybiosynthesis interface drawing on the pis experience on the biochemistry of lipidic cyanobacterial metabolites
engineered control of cellular circuits

protein signaling in cells is precisely coordinated in space and time molecular chemogenetics optogenetics and biosensors have generated a scientific revolution enabling the spatiotemporal codes of protein signaling in single cells however it is a great challenge to study protein dynamics in a physiological multicellular environment due to the extensive variability in protein signaling within individual cells as well as the sparsity of driver cells responsible for a specific physiological process to build causal relationships between proteins and multicellular behavior we will develop broadly applicable technologies by engineering proteins enabling the control of target proteins with light exclusively in the relevant driver cell subpopulations these approaches can be used in any biological field in which protein signaling is critical for multicellular behavior but here we will focus on three different stages of a challenging neurobiology process upon sensory experience for example by learning a new task only the subsets of neurons within a corresponding brain region switch to the active state it is largely unknown how proteins that are activated in these sparsely activated neuronal circuits operate in space and time our technologies will enlighten the spatiotemporal dynamics of proteins in active neuron subpopulations responding to certain learning tasks in mice understanding such learning neuronal circuit responses at the molecular level will pave the way to develop new therapeutic approaches for brain disorders including epilepsy depression and autism spectrum disorders
testing program analyzers ad absurdum

program analyzers act as guards for ensuring reliability of moderndaysoftware but who guards the guards themselves due to their highcomplexity and sophisticated algorithms analyzers are likely tocontain critical bugs which we define as those leading to wrongresults eg returning correct for incorrect software such bugsmay have detrimental consequences especially in safetycriticalsettings it is therefore imperative to be able to detect themverifying the absence of critical bugs in a program analyzer isprohibitively expensive contrary to verification automated testgeneration can be used to effectively find such bugs existing testingapproaches however are still in their infancy for this applicationdomainto address this issue mirandatesting will develop the firstprincipled methodology for testing a wide range of programanalyzers at its core our methodology exposes more information aboutwhy an analyzer computes a particular result it then uses thisinformation to interrogate the analyzer aiming to force it into acontradiction thus revealing a critical bug the project has thefollowing goals1 design a general framework for testing program analyzers using the mirandatesting methodology2 develop interrogation strategies pertaining to eleven prevalent classes of program analyzers3 demonstrate the effectiveness of concrete instantiations of the general framework and interrogation strategies for several popular program analyzers from each class4 focus on disseminating our methodology and infrastructureif successful mirandatesting will enable systematic testing of entireprogramanalyzer classes as a result analyzers will exhibit fewercritical bugs potentially preventing catastrophic outcomes insafetycritical domains
cryosphere science concluding in new observations and productive exploitation

the cryoscope project unites a consortium with diverse expertise in inland icerelated fields comprising toplevel global research organizations and companieswe address challenges related to evolving land ice snow and permafrost excelling in comprehensive in situ and remote sensing observations of the atmosphere aerosols cryosphere and hydrology proficient in advanced modeling techniques including global earth system models esms glacier dynamics hydrological processes atmospheric drivers and land surface modeling we leverage cuttingedge artificial intelligence data analysis tools moreover our consortium has a successful track record in engaging stakeholders societies and endusers in impactful dialogues contributing to the development of effective adaptation and mitigation strategiescryoscope aims to demonstrate excellence across the entire value chain byproviding advanced observations of the cah system in globally significant cold spots including the indian himalayas the alps iceland northern scandinavia and svalbardintegrating observationconstrained modeling spanning from detailed process models to earth system models esms enhancing our understanding of physical and chemical processes of the cah systemgenerating new knowledge on cryosphereecosystem changes in targeted regions and globally enabling predictions of the impacts of climate change and related drivers across seasonal to longterm time scalesdeveloping societally impactful services and solutions to bolster resilience against the changes occurring at various time scalesthe overarching scientific objective of cryoscope is to understand and quantify physical and chemical processes of the cah system in diverse landscapes and found the intricate interplay among different processes this encompasses examining how these interactions are represented within regional processbased models and global esms and predicting their susceptibility to climate change impacts
artificial intelligence for better opportunities and scientific progress towards trustworthy and humancentric digital environment

artificial intelligence and robotics brings an immense potential across many sectors for improved standards of living safer mobility better healthcare new jobs or the personalization of public services however it presents huge challenges especially regarding trust and performance reliability that prevents the wide uptake of these technologies there is an urgent need to establish a participatory methodology that can bring together industry academia and society to make noteworthy scientific advancements in key ai domains and to guarantee the widespread adoption of these advancements to enhance europes competitiveness open innovation competitions have been proven to be successful in promoting innovation attracting new talent and securing capital in various fields however the main problems with the european open innovation landscape include a high fragmentation initiatives and organizations operating independently b isolated initiatives lack of collaboration between stakeholders c lack of sustainable funding models for open innovation challenge for the longterm viability of these initiatives and the results uptake c lack of a sound impact measurement methodology challenge to demonstrate the value of these initiatives to stakeholdersthe goal of the aiboost project is to establish a prominent open challenge prize program that will serve as a benchmark for the european artificial intelligence ai community aimed at achieving these impacts i1 enabling scientific breakthrough in major ai areas by attracting the best research teams to join forces i2 contributing to the effort of unlocking ai robotics and data innovations uptake across several sectors and applications through collaboration and cocreation i3 boosting ai talent uptake by eu industry engaging in the competitions students and new rising starts i4 increasing private investment in ai research providing attractive and sound approaches
quantum measurement and control of nonclassical mechanical states

mechanical systems are an essential platform for future quantum science and technologies such as quantum interfaces sensors and transducers and for studies of macroscopic quantum physics the ability to measure and control macroscopic nonclassical states is an outstanding challenge the aim of the proposed research is to obtain the motional nonclassical states of a macroscopic mechanical oscillator using quantum measurement and control techniques the first nonclassical state here is a singlephonon fock state which will be generated by controlling the phonons at a single quantum level this singlephonon state will be heralded by single photon detection verified using photon counting statistics and further reconstructed using state tomography which can completely reveal the nonclassicality of the state the second nonclassical state is a squeezed state where either the position or momentum is localized with better precision than the zeropoint motion achieving the measurementbased preparation of squeezed states requires the usage of quantum measurement techniques in my case continuous position measurements with a speed faster than the rate at which noise couples into the position from the momentumthe experimental demonstrations of the two nonclassical states will be performed on millimetresized macroscopic membranes with exceptionally high coherence and even at temperatures much higher than previous experiments of nonclassical nanomechanical oscillators this will greatly relax the requirements of quantum experiments with macroscopic mechanical systems and potentially enables new quantum technology at room temperature the project will pave the way towards advanced quantum state engineering by quantum measurement and control of mechanical motion building new highperformance quantum devices and developing and testing potentially transformational new ideas for quantum gravitational decoherence tests and ultraprecise sensing
formation of highvalue dense plant biocondensates

we need to turn our production systems upside down instead of using fossil fuels and release carbon dioxide we need to shift to biobased production with carbon dioxide as the sole carbon source in nature this is already done at a scale feeding the worlds human population the process used in nature is photosynthesis this environmentally benign production system needs to be expanded to include the synthesis of highvalue compounds that are not currently produced in photosynthetic systems or produced in low amounts when produced in high amounts these different types of highvalue natural products need to be stored without being autotoxic to the production host this is where storage in dense biocondensates becomes a key success parameter biocondensate formation in plants is a black box but proposed mechanisms point to phase partitioning induced by proteins with intrinsically disordered domains or by natural deep eutectic solvents nades nades are compounds like sugars amino acids organic acids and choline that when mixed in specific stoichiometric ratios have a lower melting point than the individual components certain plants manage to accumulate natural products in very high amounts without autotoxicity or cell homeostasis problems this is the case in my two proposed experimental systems vanilla planifolia which accumulates vanillin glucoside at 22kgl levels in the plastids of the maturing pods and sorghum bicolor that produce the defence compound dhurrin in amounts reaching 30 of the dry mass in etiolated seedlings in order to identify the players involved in biocondensate formation i will combine methods of cellular and organelle isolation with imaging and stateoftheart analytic chemistry metabolomics and transcriptomics studying how plants orchestrate the formation of dense biocondensates to store highvalue compounds in high amounts would be key to make green bioproduction systems feasible
engineering nextgeneration fusion proteins to dress the cell membrane with functionally enhanced receptors

no drug can be effective without an appropriate delivery system this is why the development of formulations for effective and safe drug delivery currently raises major interests in all clinical applications while the use of therapeutic proteins has substantially increased in the last four decades there is an entire class of proteins that has not yet been explored as drugs the transmembrane receptors in fact the delivery of receptors for clinical applications remains very challenging and has only been achieved via genetic engineering of cells referred as gene therapy to date most gene therapies remain extremely expensive and therefore poorly accessible to patientsdresscode proposes to innovate cuttingedge protein engineering technologies to deliver and enhance receptors at the cell membrane using recombinant proteins only by doing so we aim to create a paradigm shift from genetic engineering to protein engineering of the cell membrane with the ambition of developing costeffective proteinbased therapiesin dresscode we will first engineer independently the extracellular intracellular and transmembrane parts of a receptor before combining our technologies to reconstruct functional receptors with enhanced bioactivity particularly we will generate fusion proteins that 1 target the cell surface with superavidity to enhance receptor sensing 2 penetrate the cell membrane and target its inner side to enhance receptor signaling and 3 insert across the cell membrane to reconstitute the receptor transmembrane domain using phlow inserting peptidesdresscode will demonstrate proofoftechnologies in two highimpact clinical applications focusing on the engineering of vegfr2 for therapeutic angiogenesis and of the car for t cellbased cancer immunotherapy its success will lead to the development of novel therapeutic proteins and inspire the future use of receptors as drugs while providing valuable tools for biological research
understanding and targeting pathogenic igg4 responses

the predominant autoantibody subclass is an important determinant in the pathophysiology of autoimmune diseases aid autoantibodies can be proinflammatory such as igg1 causing disease by complementmediated or immune cellmediated tissue damage in 2015 i was the first to describe a second group of aid where igg4 autoantibodies which are largely unable to activate the immune system cause disease till date at least 29 different diseases classify as igg4predominated aid igg4aid why certain aid are predominated by igg4 autoantibodies is not known but this is confirmed to be critical for precipitation mechanism and treatment of the disease in fact selective permissive determinants for class switching to igg4 in general are not known recently i realized that in contrast to igg1 autoantigens igg4 autoantigens are single pass transmembrane proteins which are continuously shed from the cell i therefore hypothesize that a key element of the aetiology of igg4aid is igg4aid antigen shedding resulting in chronic systemic antigen stimulation in the absence of danger signals like bacterial antigens viral antigens or cellular damage the goal of this project is therefore to unravel the antigenic and environmental cues that initiate and drive igg4 autoreactive responses following this innovative paradigm and to find strategies to specifically reduce pathogenic igg4 responsesi will study this hypothesis using the archetypical igg4aid musk myasthenia gravis as a model the combination of stateoftheart antibody technologies including human lymphoid organoids and aibased antigenantibody modelling with my igg4 autoimmunity expertise and our set of patientderived monoclonal antibodies puts me in an unique position to address the goal of this project i furthermore aim to provide a first proof of concept for specifically targeting igg4 b cells in vitro to pave the way for new therapeutic strategies for igg4aid and other igg4associated diseases
heparanase inhibition as a multifunctional targeting approach in cancer

cancer is a leading cause of mortality within the aging european population therapeutic targeting is hampered by the complexity of the disease which includes not only molecular changes within the tumor cell itself but also within its microenvironment tumor angiogenesis tumorstroma interactions interactions with immune cells with the extracellular matrix and cancer stem cell nichesallow for malignant cell survival and promote metastasis the leading cause for cancerassociated mortality proteins substituted with the heparinrelated carbohydrate heparan sulfate hs are dysregulated in malignant diseases and are known to modulate all of the aforementioned processes of tumor progression several functions of hspgs in tumor progression are modulated by the enzymeheparanase hpse which is barely expressed in adults but upregulated during tumor progression inflammation and angiogenesis thus constituting an excellent drug target indeed hpse the sole hs degrading endoglycosidase regulates multiple biological activities that enhance tumor growth metastasis angiogenesis and inflammation hpse accomplishes this by degrading hs and thereby regulating the bioavailability of heparinbinding proteins priming the tumor microenvironment and mediating tumorhost crosstalk we predict that therapeutic targeting of hpse to be superior to conventional approaches as it does not only have the potential to synchronously targeting tumor progression and metastasis at multiple levels metastasis angiogenesis inflammation immunity but it is also be expected to have a favourable side effects profile hepinib will combine leading experts of hpserelated cancer research with nonacademic partners providing a panel of innovative technologies with the aims of providing a deeper understanding of hpse function in tumor progression of developing novel hpse inhibitors and delivery systems and of transsectoral and interdisciplinary training of young scientists