Dragon09/odtu_chatbot huggingface dataset:
genetic factors enabling microbiome symbioses bees as a natural model system

the gut microbiome is essential for the wellbeing of many animals including humans and bees however the genetic factors that enable stable healthy microbiomes remain poorly understood in particular little is known about how different members of a gut microbial community communicate and interact with one another both at the molecular level which genes underlie the interactions and the ecological level how these genes are distributed across populations due to the complexity of most gut microbiomes previous work in this field has largely been limited to in vitro studies using simplified synthetic communities in contrast the core aim of this project is a systematic analysis of microbial interaction mechanisms at both the molecular and ecological levels unlike other systems we can culture all members of the bee gut microbiome and have recently developed genetic tools for their manipulation i will leverage these unique advantages together with my expertise in social bees honey bees bumble bees and microbial genetics in an integrative approach to fulfil the project objectives work package 1 will reveal the genes underlying pairwise intermicrobial interactions though unbiased in vitro and in vivo transcriptomics and proteomics these genes together with candidates i previously identified secretion systems and toxin genes will be investigated in detail using genetic and biochemical methods to uncover their mechanisms of action and novel functions work package 2 will clarify how these interactions play out across populations by assessing variation of interaction genes with ecological factors geography host background and by probing the evolutionary forces that lead to these variations our findings will contribute empirically to identifying the general principles behind microbiome assembly and function which has broad implications across all fields where microbiomes play important roles including in agriculture medicine and biotechnology
myceliumbased substrate for sustainable flexible pcbs

printed circuit boards are an indispensable technology present in all classes of modern electronics their flexible embodiments flexpcbs enable current and emerging form factors and drive the transition to humancentered applications at the same time pcbs are notoriously difficult to recycle and contribute majorly to the growth of electronic waste and an unsustainable use of resources a paradigm change towards bioderived and biodegradable materials promises a remedy however so far no viable solution for sustainable flexpcbs exists mycosub takes on an entirely new approach of growing and refining fungal mycelium skins as environmentally friendly and entirely biodegradable yet high performance substrate material for the manufacturing of flexpcbs building upon myceliotronics the first myceliumbased electronic circuits we here aim at developing an industrycompatible process flow that seamlessly merges into established commercial procedures for rapid adoption of the technology with facile postprocessing steps that do not impede biodegradability we will achieve a competitive flexible circuit board substrate with high thermal stability high flexibility and low surface roughness we aim to develop both conventional subtractive etching as well as fully sustainable additive manufacturing techniques for lowconductivity solderingcompatible conducting traces such mycosubflexpcbs will ultimately provide unprecedented levels of sustainability through the combination of a biodegradable yet resilient substrate with efficient wasteminimizing energysaving workflows and reuse strategies for precious metals and electronic components these endeavors will be accompanied by thorough material characterization ensuring that mycosub materials live up to the high requirements of the industry ultimately mycosubflexpcb demoboards will showcase the potential of sustainable solutions for the broad ecosystem of flexible electronics
random walks on groups commutative and noncommutative dynamics

the general goal of the proposed research is to gain a deeper understanding of group properties which are reflected by the theory of random walks another goal is to reveal further connections between this theory with the rigidity phenomenon the main mathematical fields appearing in this research plan are measurable and topological group actions ergodic theory and topological dynamics and group actions on calgebras one of the main objectives is developing a theory towards solving a specific case of connes rigidity conjecture formulated for calgebras namely differentiating reduced calgebras of irreducible lattices of different ranks the suggested approach is inspired by a wellknown rigidity result of furstenberg this involves studying the relationship between measurable and topological boundaries as well as their c and von neumann algebraic counterparts related to this relationship it is also conjectured that the existence of uniquely ergodic models for probability measure preserving actions in a much wider setup than is currently known another goal is to develop a theory of automorphism groups of markov chains two potential applications are discussed the first is developing new techniques for realizing the furstenbergpoisson boundary and the second is to relate the boundaries of groups which are measure equivalent an additional line of research suggests new systematic studies of operator algebras related to groups this direction is inspired by the fruitful theme in geometric group theory studying the space of all subgroups of a given group the dynamics on the space of subalgebras is suggested to provide a new set of invariants attributed to groups unitary representations and group actions a subalgebra rigidity phenomenon is conjectured to hold for higher rank groups and a strategy based on boundary theory is being presented this direction opens many new horizons to the study of groups operator algebras
enabling positive energy districts through a planning and management digital twin

expedite aims to create and deploy a novel digital twin dt for realtime monitoring visualization and management of districtlevel energy flows the project will deliver a suite of replicable modeling tools allowing stakeholders to analyze planning actions towards positive energy and climate neutrality in a costeffective manner the tools will be able to model the districts energy production and demand building stock performance optimize for flexibility and simulate mobility and transport the dts designplatform will analyze various whatif planning actions aiding energy and urban planners evidencebased decisionmaking processes while its runtime engine will optimize the districts energy utilization efficiency the dt will follow a modular open architecture to support multisectoral and multiorganizational stakeholder requirements by employing gamification and cocreation approaches the project will enhance public awareness and engagement in energy efficiency the expedite dt will be applied to a district in riga latvia and will provide practical guidelines reusable models algorithms and training materials to aid other cities in replicating the dt for their districts fostering widespread adoption of sustainable energy practices
starcom optical intersatellite link

mbryonics ltd is an independent deep tech development company based in galway ireland specialising in the design and manufacture of optical terminals for optical intersatellite links oisls and optical ground station ogs and adaptive optics systemstechnology leaders in the application of freeform optics for oisls and photonic integrated circuits in condensed packaging to enable pic chiplet cointegration with electronics asicsfpgas known as copackaged optics or inpackage optics for technology applications including intersatellite links telecom quantum networks qkd data relay earth observation and pnt pointing navigation and timing and optical feederlinksestablished in 2014 with almost a decade of experience developing hightech solutions through integrated skills in the areas of ict photonics optics optoelectronics adaptive optics and aerospace engineering the team is ideally positioned to deliver advanced optical terminals and photonics solutions for a new era of proliferated space with the advent of mega constellations and a new market for space data over the next decadembryonics are uniquely positioned with an innovative solution based on disruptive application of fibrecoupled free space optical communication fsoc silicon photonics and novel application of additive manufacturing of freeform telescopes and innovation in assembly integration and test mait which will overcome previous challenges for volume manufacturing of optical terminalsmbryonics will utilise a digital twin to optimise mait and build lean processes to facilitate sustainability objectives for 2030
production of highquality fatty acids feedstock for use in saf production

covals gaft project presents two innovations in biofuel production processes for formic acid for fatty acid both essential for future sustainable aviation fuelour patented process to produce potassium formate pf out of co2 water and renewable electricity enables a higher concentration to be produced using conventional equipment we then convert this pf to formic acid fawe have also developed a nongmo microorganism that uses fa and glycerol as a substrate to produce fatty acids these fatty acids are used as feedstock for hefa to produce sustainable aviation fuel saf the remaining biomass byproduct is a crude microbiological protein that can be used as aquafeedgaft dramatically improves the production of saf by being more energy efficient using just enough energy to produce a c1 hydrocarbon from co2 and subsequently via fermentation to produce fatty acid feedstock for the only currently available commercial technology to produce saf the hefa process
humancentric aienabled extended reality applications for the industry 50 era

xr50 will build demonstrate and validate a novel personcentric and aibased xr paradigm that will be tailored to the requirements and nature of i50 applications in this direction the project will specify structuring principles and blueprints for using xr in i50 applications with emphasis on the development of innovative xrmadeineurope technology that blends with humancentric manufacturing technologies and adheres to european values the xr50 applications will consider the characteristics and context of the worker based on the integration of humancentred digital twins dts that comprise the digital image of the worker at the same time xr50 will design and implement a unique blending of xr technology and advanced ai paradigms including ai technologies that foster the interplay between humans and ai such as explainable ai xai active learning al generative ai genai and neurosymbolic learning the xr50 technologies will be coupled with a cloudbased xr training platform for operator 50 applications which will enable ergonomic and personalized training of industrial workers on popular processesthe xr50 paradigm will empower the development of six 6 novel hightrl pilot applications spanning the areas of aibased product design remote and intelligent maintenance of assets workers training support in product assembly as well as guidance and instructions for troubleshooting these applications will be demonstrated in realistic manufacturing environments moreover they will be integrated to the eu xr platform to be developed as part of the call most importantly xr50 will build a vibrant community of interested stakeholders around the projects outcomes this community will provide a basis for the sustainability and wider uptake of the projects results towards maximising the impact of the projects use cases in this direction all xr50 technologies will be high trl78 and ready for immediate commercialisation
paving the way for highthroughput organoid engineering using integrated acoustix

the aim of phoenix is to use my expertise in microsystems engineering to close critical technology gaps in organoid generation cerebral organoids are 3d selfassembled structures derived from human induced pluripotent stem cells replicating both structure and function of the human foetal brain organoids have the potential to replace existing 2d cell cultures and animal models but this has not yet been realised due to rudimentary preparation methodsin phoenix three important technology gaps will be addressed reproducibility controlled maturation and vascularisation i aim to build on my pioneering research on droplet acoustofluidics and the scientific output of my erc starting grant to develop three microfluidic modules that at the end of the project shall be integrated into a seamless organoid engineering pipeline the technology in focus is acoustophoresis a method to manipulate particles and cells by ultrasound this will be used to achieve ordered encapsulation of stem cells in hydrogel droplets and develop a microfluidic platform where the cells can be differentiated under fully controlled conditions finally twophoton writing will be used to integrate a vascular network with the organoid constructs to form an important delivery architecture for nutrients and blood components phoenix will be focused on both technology development and thorough biological characterisation of the resulting organoids to demonstrate both expected and unexpected benefits of transferring organoid generation onchip collaborations have been established with prof christine mummery and dr valeria orlova both at lumc nl as well as dr anna falk at ki se to provide expertise in complementary fields of this highly interdisciplinary project the expected output of phoenix is a microfluidic technology that enables highthroughput generation of cerebral organoid with a multiregional structure and vascularisation in a direct process
the customisationpreoperationalisation of water management innovations from space for european climate resilience

pcpwise aims to customizepreoperationalize water management innovations from space for european climate resilience via precommercial procurement pcp the project spanning phases from solution design to field validation targets trl 8 it addresses waterrelated crises floods fires infrastructure impacts using space and earth observation data objectives include common operational information products interoperability mechanisms and an active user network with climate change impacting water availability and distribution pcpwise seeks to enhance eobased information for better regional water management promoting resilience across eu borders it focuses on local dynamics in water availability and aims to anticipate extreme climate conditions through an integrated water intelligence system the projects significance lies in its potential to mitigate waterrelated crises driven by a unified water taxonomy and earth observationbased modeling through comprehensive research and development solutions pcpwise aims to boost adaptation across the eu targeting stakeholders in water management environment first responders cities and agriculture the projects objectives are designed to adress business technical economic and policy goals key results include capacitybuilding efforts climaterelated inputs stakeholder engagement and the dissemination of innovative solutions to advance water resilience both locally and globally
a framework for modelling and optimising the resilience of the integrated natural gas production and transmission network system

natural gas production and transmission ngpt network systems are vulnerable to partial failures leading to natural gas supply disruptions and methane emissions thus calling for enhanced resilience this project proposes to develop a novel framework for modelling and optimising the resilience of integrated ngpt network systems by employing markov decision process mdp frameworks that identify optimal policies for system operation and maintenance this novel approach allows for incorporating the dynamics of the system including network topology and functionality changes upon operation and maintenance interventions thus significantly improves on presentday practices the mdp model is solved by deep reinforcement learning drl algorithms integrating a novel network capacity model developed using graph neural networks gnn for illustration i consider a european ngpt network comprising of offshore production platforms subsea pipelines and onshore pipelines exporting the norwegian gas to europe the project outcomes can be beneficial to gas producers and gas transmission operators whose optimal decisions contribute to more resilient natural gas supply for the benefit of society the success of resilientgas hinges on advanced training on network resilience modelling and on computational intelligence methods such as drl and gnns i will thus need to compliment my own skills with a scientific tradition that is best studied with the team at politecnico di milano in italy where i will be under the direct supervision of prof enrico zio whose research team is internationally recognised to lead the development of advanced tools and techniques for reliability risk and resilience a sixmonth placement in aramis srl wwwaramis3dcom a cuttingedge rd company is foreseen to complement the research training with industrial practice and firsthand experience in deploying project outcomes enabling me to position myself as a top researcher in this field
process attribution of regional emissions

there are only a few countries worldwide and only two in europe the uk and switzerland via our team who routinely report their emissions using bottomup inventory and topdown atmospheric databased methods together the central aim of paris is to significantly increase the uptake of this joint approach to emissions evaluation we target research areas that have been shown through our previous successes to be of high value to inventory compilers or have been only partly explored in previous projects to engage inventory teams early in the project we focus on new emissions estimates for fluorinated gases fgases which have relatively simple source distributions but poorly understood magnitudes we will extend to eight countries across europe our proven approach in using topdown constraints to evaluate inventory fgas models for greenhouse gases ghgs with a more complex mixture of sources methane and carbon dioxide research in paris focuses on the attribution of fluxes to particular sources and sinks we will advance our worldleading isotopologue measurements and tracerbased analysis methods providing inventory teams with new information to target areas of uncertainty for nitrous oxide a ghg for which most european inventories rely on highly simplified and uncertain bottomup methods two processlevel models will be advanced to produce time and spaceresolved estimates that will be evaluated against isotopic data for the important but complex climate forcers organic matter aerosol and black carbon we will take the next steps required towards robust topdown emissions inference by developing source apportionment methods to generate maximum impact we will synthesise these advances in the form of draft annual annexes to national inventory reports nirs for eight paris focus countries if adopted this will represent almost a quadrupling of the number of countries globally that include topdown emissions estimates in their nirs
innovative protein labelling strategies for spectroscopic high resolution techniques

protein structures including their complexes determine their specific function and the molecular working mechanisms the astonishing developments in xray crystallography and cryoem allow insights into atomic levels of protein structures however commonly on their static solid state conformations nuclear magnetic resonance nmr and single molecule fluorescence spectroscopy on the other hand allow observations of protein dynamics in solution in realtime in particular specific intermediate and longrange interactions can be measured using paramagnetic resonance enhancements pre or single molecule försterresonance energy transfer smfret requiring sitespecific labelling with paramagnetic or fluorescence probes respectivelynaturally the choice of the label and its covalent attachment to the protein are critical however traditional approaches rely on random cysteine labelling with only a handful of available probes making measurements difficult to interpret and laborious as such there is an urgent demand to develop customtailored selective orthogonal easy to use chemical biology probes with excellent spectroscopic properties for smfret and pre to drive the field of protein structure and dynamics this proposal tackles current limitations in the peptideprotein labelling field by creating stateoftheart fluorophores for redfarred smfret building on this the best performing dyes will be unleashed to defined labelling of intrinsically disordered and native proteins in vitro and in cellulo respectively next these concepts will be expanded to be merged with intramolecular pre probes to combine to date mutually exclusive spectroscopic properties inprospect innovative protein labelling strategies for spectroscopic high resolution techniques pushes a bottomup approach from fluorophore design and labelling strategies ultimately linking two worlds to allow unprecedented simultaneous studies of protein distances and dynamics
digitallyenhanced multilevel solution for smart humancentric remanufacturing

the european remanufacturing industry is crucial for the sustainable transition of europe thanks to thesavings in energy materials and functionality that is guaranteed by the process in fact the socioeconomic benefits of remanufacturing in terms of number of workers skills development andtechnological uptake are as impactful as the environmental benefits however to futureproof theeuropean remanufacturing industry and increase its competitiveness the obstacles facing the humanworker need to be addressed as a matter of strategic urgency currently established remanufacturingsectors recognized the barriers in the limited automation poor human inclusion lack of traceability andrestricted use of digitalization hence reuman aims at developing and demonstrating a novel paradigmof humancentric remanufacturing approach for the european industry acting at factory and valuechainlevels at factory level the main industrial need is to guarantee high regeneration rates of theremanufactured products and to achieve traceability of the remanufacturing processchain while atvaluechain level the main industrial need is to guarantee stability in terms of volume and quality of thepostuse products reuman shall demonstrate the new remanufacturing paradigm which is intrinsicallyhumansafe targetdriven in regeneration and certification flexible while facing variability in postuseparts robust and replicable to new circular business cases to that end reuman addresses the call topicby i developing cutting edge remanufacturing approaches factory level and integrating them into thevaluechain ii demonstrating functional retention in three sectors automotive home appliances andoptoelectronics iii introducing traceability in remanufacturing by implementing the firstremanufacturingcentred dpp iv considering operation and economic viability by showcasing completebusiness cases coupled with designed training material