Dragon09/odtu_chatbot huggingface dataset:
scalable quantum algorithms in highly noisy environments

quantum computers bring the promise of solving efficiently problems that would take a considerable amount of time on the best classical computers this is called the quantum speedup however an experimental proof of a quantum speedup on a problem useful for society remains to be shown one of the main issues preventing it to occur is the noise the hardware is too noisy which makes the algorithms outputs unreliable these algorithms are usually designed under the assumption that the qubits are perfect and the errors are corrected or mitigated afterwards however mitigation techniques are typically not scalable they stop working if the algorithm is too large quantum error correction is scalable but very challenging to implement as it requires very high quality qubits this project aims to design quantum algorithms that by construction would efficiently work in highly noisy regimes because of a noiseaware design without the need for error correction or error mitigation techniques our first objective will be to see if it is possible to carefully design quantum algorithms by looking at how errors propagate in the circuits for which the consequences of the noise will be that the experimentalist has only to rerun the algorithm a polynomial number of times naturally preserving any exponential speedup our second objective will be to study the possibility to design algorithms operating on mixedstates that do not introduce any entanglement but nonetheless provide an exponential speedup because such algorithms would work with mixedstates without entanglement they could also lead to interesting noiseresilience properties for both of our objectives we will aim to find useful applications for our algorithms beyond the mere proof of concepts overall our project could lead to a new class of quantum algorithms noiseresilient from their very design and would provide fundamental insights on the necessary ingredients allowing a speedup to occur
circular economy innovations for resilient competitive and sustainable battery technologies

the circubatt project aims to redefine the european battery sector by setting new benchmarks through the integration of artificial intelligence data analytics and sustainable practices by tackling critical bottlenecks and employing cuttingedge technologies circubatt seeks to boost the competitiveness of the european industry while aligning with the eus environmental and economic objectives its holistic approach promises a more efficient reliable and sustainable battery value chain prepared to address europes future energy demands and the global challenge of climate changethe project combines advanced material sciences innovative business models and leading digital technologies to deploy a range of solutions tested across various realworld scenarios these solutions will span the entire battery lifecyclefrom design and manufacturing to endoflife recyclingshowcasing adaptability efficiency and sustainability in practical applications this initiative aims to reduce europes reliance on critical raw materials diminish environmental impacts and strengthen the continents position in the global battery marketcircubatt will explore innovative business models such as batteryasaservice baas and develop crossindustry tools like battery sustainability analysis and artificial intelligencedriven data analytics additionally it will advance the design of battery cells and packs that support effective aging analysis and facilitate dismantling for secondlife use or recycling pilot studies within the project will validate the feasibility of these innovationsultimately the project will deliver new products business models and tools poised to make significant contributions to the circularity resilience and sustainability of the european battery value chain
strengthening research and innovation excellence in autonomous aerial systems

built on lessons learned and experience gained upon successful implementation of twinning project aerotwin this proposal is conceived as an effort to stream aerotwin positive effects on a network of higher education institutions heis from croatia and bosnia and herzegovina in order to enlarge capacity for research and innovation and to prepare and establish a long lasting and integrated cooperation between those institutions and their partners in the local ecosystem the essential support to reach this objective and prepare the network to facilitate future synergies with the european universities initiative will come from three internationallyleading heis from spain czech republic and the netherlands additionally increase of innovation capabilities of widening heis will be achieved through close cooperation with fadacatec and technological corporation of andalusia cta leading european research and innovation intensive organizations deeply involved in the most relevant eu initiatives and projects the long lasting and integrated cooperation between institutions will be established in the field of autonomous aerial systems aas applications with emphasis on smart agriculture forestry and logistics the project objectives are i integrated and long term cooperation between heis from croatia and bosnia and herzegovina with partners from spain czech republic and the netherlands ii increased scientific excellence profiles of heis from croatia and bosnia and herzegovina in the field of autonomous aerial systems and shared capacities with partners from spain czech republic and the netherlands and iii improved quality of innovation management technology transfer and citizen involvement of heis from croatia and bosnia and herzegovina particular set of actions is planned for achieving those objectives such as common innovation strategy staff exchange experts visits workshops and tutorials handson trainings and phd students comentoring
geographic environments daily activities and stress a study on the spacetime fragmentation of exposure patterns

stress is nearly ubiquitous in everyday life and imposes a tremendous burden worldwide by acting as a major risk factor of mental disorders autoimmune infectious and cardiovascular diseases and some cancers the aim of the fragment project is to evaluate to which extent the spatial and temporal fragmentation of exposures to environments in daily life influences physiological and psychological stress as well as social inequalities in stress some evidence shows that exposures to daily environments may either act as a stress contributor or provide some stress restorative qualities while the protective effect of greenness has been clearly established strong uncertainties remain regarding the effects of urban environments fragment starts from this premise to investigate the environmental determinants of momentary daily and chronic stress in relation with immediate daily and regular environmental exposures the project uncovers the role of spatiality and temporality in exposure effects on stress it further builds on the concept of spacetime activity fragmentation to contextualize patterns of exposure within activity patterns finally it analyses how differences in spacetime exposures and activity patterns across social groups may lead to social inequalities in stress an observational cohort study will be used to evaluate momentary daily and chronic stress in daily life using a combination of traditional websurvey mapbased questionnaires smartphone tracking and geographic ecological momentary assessment a series of labbased experiments combining immersive virtual environments with a walking simulator will assess the effect of urban environmental characteristics and the temporality of exposures on momentary physiological and psychological stress bridging knowledge from epidemiology and time geography fragment will provide critical evidence to equitably reduce exposure to environmental stressors in outdoor space in everyday life
from single cells to microbial consortia bridging the gaps between synthetic circuit design and emerging dynamics of heterogeneous populations

a key turning point in the evolution of life was the transition from singlecell to multicellular organisms and the optimization of fitness via division of labour and specialization similarly microorganisms have evolved equivalent strategies by forming communities or consortia division of labour in isogenic microbial populations is often implemented by mechanisms that create or act upon population heterogeneity to diversify functionality rational design in synthetic biology on the other hand is focused on the engineering of gene circuits with deterministically predictable functionality within single cells while synthetic biology has certainly come a long way predictable functionality of circuits in growing microbial populations still remains elusive or limited to tightly constrained operating conditions we will develop novel mathematical methods to characterize and control the dynamics of synthetic gene circuits within growing microbial populations we will develop a modelling framework and novel computational methods that take both stochasticity of singlecell processes and consequences of heterogeneity for population dynamics into account on the mathematical side this necessitates coupling singlecell stochastic processes to state dependent population processes such as growth or selection we will develop methods for parameter inference experimental design and control for such models this will enable the construction of models that can be used to design synthetic circuits that function as specified within growing populations and that can be deployed to regulate singlecell processes such that desirable dynamics emerge at the scale of populations and consortia we will apply the methodology for bioproduction problems in which proteins that are hard to fold need to be produced overproducing such proteins impairs cellular growth which creates couplings between singlecell and population processes and raises the need to feedback control production
hazard sensors based on holographic metasurfaces for near eye augmented reality displays

augmented reality ar technology is uniquely positioned in the tech landscape offering the ability to overlay digital information directly onto the physical world distinct from virtual reality vr and mixed reality mr existing and nextgeneration ar glasses are sophisticated and expensive and are far from meeting the needs of large sections of the general population for example despite the advancements in ar a significant gap exists in catering to users with partial visual or auditory impairments our project introduces an innovative solution that transforms any standard pair of glasses into advanced ar headsets these headsets can display fixed predetermined images which can be paired with environmental sensors to alert the users to potential dangers through clear signals projected onto the retinaleveraging holographic metasurface technology our solution overcomes common challenges of traditional ar glasses such as bulkiness limited field of view and poor visibility in outdoor environments the flexibility and lightness of the holographic metasurfaces ensure that our clipon module is not only effective but also comfortable for everyday wear our primary goal is to enhance the daytoday experiences of visually or auditory impaired individuals facilitating safer and more accessible navigation through their environments
origamidnaagncs sensor for detection of mirnas

breast cancer bc is a prevalent kind of cancer worldwide and it is one of the primary causes of cancerrelated deaths in women the research has shown that early detection of bc could significantly increase the chances of survival for patients recently there has been a growing interest in micrornas mirnas as potential biomarkers for the early diagnosis of bc therefore the development of new diagnostic tools for the early detection of bc is necessary thus biosensors based on dna nanotechnology emerge as a novel versatile and easily accessible alternativein this context the synergy between the fluorescence properties of dnaagncs and the structural properties of dnaorigami will allow the creation of a new generation of hybrid nanomaterials nanohybrids which could be conceived as biosensors for the detection of mirnas associated to bc with high sensitivity sequence specificity high throughput low cost and easy accessodasmir aims to design origamidnaagncs nanohybrids odas to develop a biosensor to diagnose bc through the detection of different mirnas and it will validate in in vitro models 2d and 3d odasmir presents a multidisciplinary approach both the objectives and the experimental methodology are on the interface between biology and chemistry the biosensors obtained and their validation at the clinical level could have a significant impact on the accurate and early diagnosis of bc representing a significant advance in the field of nanomedicine
limited proteolysis mechanisms in plants for selective protein translation to improve heat tolerance

heat waves threaten agriculture in the eu and worldwide exactly how we can protect our crops precisely and rapidly from heat is a lingering question with important implications for future food security my aim with plantex is to explore the potential of a rapid stress response that my lab has discovered and incorporate this knowledge into the design of new breeding strategies to improve crops to bolster heat tolerance i propose an innovative approach for the control of protein production networks by repurposing proteolytic pathways that control the dynamics of organellelike assemblies known as condensatesmy lab pioneers the study of proteolysis on the formation of condensates with unique properties that allow them to store functionally related proteins and rnas i dubbed the networks in these condensates that we discovered coregulons these coregulons are responsible for undocumented rapid and synchronized stress responses for example during heat that depend on proteolysis i hypothesize that the discovered condensates ensure an unappreciated rapid response to stress that is important for plant acclimation and that this knowledge can be exploited to engineer desirable traits in cropsin this project i propose 1 to use our approaches to collect an extensive dataset of coregulons important for growth and environmental adaptation in the model organism arabidopsis and the agriculturalrelevant crop tomato 2 to characterize novel mechanisms involving proteolysis of coregulons by refining and developing new approaches of proteasesubstrate capture and 3 design and implement innovative strategies based on cuttingedge genetic approaches to improve the tolerance of tomato to heat wavesmy objectives are ambitious but potentially gamechanging by providing approaches that can help combat the escalating problem of food security and for our comprehension of how plants adapt to dynamic environments
neural computations and dynamics of flexible decisionmaking in mice

imagine that you have just rung at a doorbell and no one has answered the door is there anybody home how many times should you ring one simple solution is just to ring several more times and wait yet to save time and make sure that no one is home you could also consider whether there is a light inside the house or whether there is a car parked in front although such situations are ubiquitous in our daily life relatively little is known about how different decisions are implemented in the brain and how they flexibly inform behavior this proposal directly aims to characterize decision variables both at the behavioral and neural levels to understand how the brain flexibly switches between them we will combine sophisticated mice behaviors that accommodate multiple decision variables with innovative models of dynamical systems and leverage the latest progress in electrophysiology and optogenetics to record and manipulate large ensembles of neurons simultaneously across multiple brain regions this work will test the overarching hypothesis that the premotor cortex thought to implement the intention to act is a reservoir of decision variables that flexibly routes the employed decision variable to motor regions our highly multidisciplinary team which consists of the researcher with productive records in systems neuroscience the supervisor who is a specialist in cognitive neuropsychology and the secondment supervisor who is a renowned theoretical neuroscientist is well armed to successfully carry this project our results should deliver a new conceptual framework for understanding adaptive behaviors and their neural bases this project will also provide a direct window into the neural mechanisms underlying individual variations in decision making and how actions may depart from a healthy behavior when erroneous or maladaptive strategies are used of relevance for explaining diversity in human behavior and mental health
talosartificial intelligence for humanities and social sciences

the proposed project aims to establish a centre on artificial intelligence for humanities and social sciences under the leadership of outstanding academic christophe roche at the university of crete in widening country greece christophe roche currently a professor of artificial intelligence in france has proven research and innovation excellence keen management skills and extensive academic standards and industry connections most importantly he has already established collaborations with the university of crete and has committed to work with its staff to help build a leadingedge centre of excellence integrated in the european research area the objectives set by this project align with the eu ssh and digital agenda to expand the research and innovation potential generate new knowledge strengthen innovation and knowledge transfer activities create industry driven projects and build capacity through combined academicindustry training in close collaboration with local and global industry partners support ssh informed evidencebased ai policymaking develop key combined digital ssh competencies and produce interdisciplinary solutions to both societal and technological ai issues in order to achieve its objectives the newly created centre will attract and maintain highly talented staff and phd students under the direction of the proposed era chair holder while at the same time boosting the digital skills of existing staff and implementing structural changes necessary in the university to achieve a worldclass and sustainable hub research excellence in this field will allow the university of crete to participate in and potentially lead research and innovation across the commercial cultural and social sectors achieving high impact outcomes for science academia and society at largethe university of crete has committed to undertake all measures which will support the successful implementation of the project and its sustainability
visual robot programming

this project aims to commercialize the novel technology called visual robot programming vrp a nocode gesturecontrol robot programming solution the goal is to exploit the results of the fetopen project goalrobots and raise the technology readiness level trl from trl 4 to trl 6 and register a spinoff within 24 months current industrial robots are designed to repeat the same task millions of times to enable highvolume manufacturing of a single product but are not deployable for highmix lowvolume manufacturing as required by smes to empower smes to adopt automation vrp enables realtime gesturebased robot programming the user demonstrates the desired motion using hand gestures and the industrial robot tracks and imitates the identical motion in realtime using this intuitive technology any user is empowered to teach industrial robots without prior knowledge in robotics and with minimal training vrp unlocks new automation potential in the sme segment and allows the workforce to shift to higherskilled and more rewarding tasks the four objectives of this project are 1 technology development and maturation of the goalrobots research results to develop aiassisted vrp 2 industrial pilot projects to demonstrate the solution in industry 3 business validation to demonstrate commercial viability and 4 spinoff and investor readiness
enabling spatiallyresolved mapping of electric activity in operational devices at atomicresolution

advanced materials are at the core of innovation in the 21st century for a wide range of industries including semiconductors consumer electronics automotive and aerospace demands for products with increased functionality performance and reduced power consumption are driving the need for new device structures and materials designing characterizing and testing of twoterminal devices such as mim metalinsulatormetal capacitors for high performance dram capacitors or msm metalsemiconductormetal select elements for advanced nonvolatile memory are key for improved materials stack design and integration in electron i will develop a technique that allows to directly image brainlike functions in operational eg rram devices i aim to achieve operando electron beaminduced current imaging ebic inside a scanning transmission electron microscope stem by using amplifiers to measure electrical currents in a contacted working device exposed to a microscope s electron beam and thus for the first time map electrical activity of a real device like neuroscientists use for example fmri to track blood flow within the brain the parts that are being used will light up in the map this technique will enable a unique and previously nonexistent way to visualize electric activity in working devices while being sensitive to electric potential electric field work function conductivity and temperature under simultaneous external stimuli ie heating biasing gas i propose this project based upon the internationally recognized expertise of my group in the development of situoperando tem specifically the ability to operate and electrically contact stack devices inside an electron microscope and my experience in memsbased chip platform design nature communications 44452018 the goal is to push the spatial resolution of stemseebic to reach atomicresolution dimensions while probing industry relevant electronic devices under realistic conditions
nextgeneration physics and databased battery management systems for optimised battery utilization

the eu aims to become an economy with netzero greenhouse gas emissions achieving climate neutrality by 2050 batteries will enable this clean energy transition by helping to decarbonise transport and enabling a higher uptake of renewable energy technologies therefore the electrification of the european economy and society both in transport and stationary storage sectors has resulted in an expensive growth of the european battery industry from battery cell manufacturers to recycling and second use companies achieving optimal utilisation of battery systems by increasing the operational and lifetime usage window and reducing cost via a more efficient and appropriate use of materials benefits not only the environment but also the endusersthe overall nextbms aim is to develop an advanced battery management systems bms built on fundamental knowledge and experience with the physicochemical processes of lithiumion batteries which will enable the significant enhance of current modelling approaches including the readiness for upcoming lithium li battery material developments these modelling approaches will be further improved by optimising sensors and measurement techniques to meet modelling needs and optimising models based on physical sensor data and the physical cell configurations to form a framework that supports improving the battery state prediction and control by solving these challenges nextbms will ensure that the next generation of bmss will enable higher performance safety and longer lifetime of the battery cells for an overall optimal utilisation of the battery systemas the nextbms results aim to be implemented in a large variety of the transport and energy storage sectors the project has a wide market potential to impact and revolutionize the entire battery market and to contribute in achieving the green deal objectives