Dragon09/odtu_chatbot huggingface dataset:
predictive reagentantibody replacement technology stage 2translation

preart2t will translate fetopen project preart predictive reagent antibody replacement technology from laboratory proofofconcept to investment readiness we retain prearts original aim to disrupt the reagent antibody market which after forty years plus is still based on monoclonal antibodies mabs to detect biomolecules when 50 of all commercial reagent mabs have been shown to not function correctly preart has successfully delivered a foundational platform technology to trl3 preart2t will develop the technology to trl6 so empowering our aim to disrupt the reagent antibody market by replacing lowquality commercial animalderived reagent mabs with highperforming synthetic alternatives created by combining modules from our encyclopaedia of experimentally preselected amino acidbinding motifs multidisciplinarity is key to the current experimental success of preart by combining collective expertise in biochemistry computational protein design and protein engineering we have created a virtuous circle wherein biochemical structural data uzh inform our novel computational mutagenic predictions ubt that inform synthesis of highlyspecified gene libraries aston whose protein products are analysed though novel highthroughput screens uzh key hits are analysed biochemically and structurally uzh and resulting data inform the next cycle as the cycle reiterates greater specificity ensues we have thus created many new and extremely stable amino acidbinding motifs that we have also combined in a modular manner to successfully bind predicted peptide targets the project has also resulted in novel modelling atligator mutagenic paramax randomization and screening procedures in preartt2 we will complete our suite of darmrps for natural and modified amino acids and further study their modularity by creating prototypes for four commerciallyrelevant targets at the end of the preart2t we expect to seek investment of e20 m
innovative solutions for plastic free european rivers

inspires main objective is to contribute to the drastic reduction of litter macro and microplastics in european rivers in a holistic approach by bringing together 20 technologies and actions fordetection of the pollution present in the river and at the riverbank collection of litter and macroplastics at the river bank and litter macro and microplastics in the riverprevention of litter macro and microplastics to enter the river by collecting it from its waste stream before it can enter the river and by developing biodegradable alternatives for currently nondegradable polluting products to avoid they will further be used and arrive in the river as litter six use case are defined in inspire to install and test the technologies and actions to model the processes related to the water purification activities to obtain 7 well defined solutions at detection collection or prevention level and combinations thereof the technical feasibility is backboned by a technoeconomical analysis with the development of business cases for the solutions action plans towards upscaling and replication and together with mapping and modelling all elements are brought together to develop a master plan for tackling the challenges of the mission and contributing to the objectives of the mission the inspire project will be very visible due to its well developed dissemination and communication plan and strategy for community engagement apart from the general dissemination and communication tools and activities specific activities will be setup on festivals promoting 100 biodegradable products as a result of inspireinspires consortium is composed of 26 partners with complementary expertise and a good balance of academia industry communication specialists and soft skills organisations is obtained who all together will work towards the target of having a number of successful solutions that can find their way to the market and put inspire on the radar
application aware lifecycle oriented modelhardware codesign framework for sustainable energy efficient ml systems

ai is increasingly becoming a significant factor in the co2 footprint of the european economy to avoid a conflict between sustainability and economic competitiveness and to allow the european economy to leverage ai for its leadership in a climate friendly way new technologies to reduce the energy requirements of all parts of ai system are needed a key problem is the fact that tools eg pytorch and methods that currently drive the rapid spread and democratization of ai prioritize performance and functionality while paying little attention to the co2 footprint as a consequence we see rapid growth in ai applications but not much so in ai applications that are optimized for low power and sustainability to change that we aim to develop an interactive design framework and associated models methods and tools that will foster energy efficiency throughout the whole lifecycle of ml applications from the design and exploration phase that includes exploratory iterations of training testing and optimizing different system versions through the final training of the production systems which often involves huge amounts of data computation and epochs and where appropriate continuous online retraining during deployment for the inference process the framework will optimize the ml solutions based on the application tasks across levels from hardware to model architecture ai developers from all experience levels will be able to make use of the framework through its emphasis on humancentric interactive transparent design and functional knowledge cores instead of the common blackbox and fully automated optimization approaches in automl the framework will be made available on the ai4eu platform and disseminated through close collaboration with initiatives such as the ict 48 networks it will also be directly exploited by the industrial partners representing various parts of the relevant value chain from software framework through hardware to ai services
robotic emulation of human failure comprehension for vastly enhanced resilience through metacognition

the aim of the recoverme project is to achieve human ingenuity in dealing with hardware faults in robotic space exploration the hypothesis of the project is that as robots acquire humanlike metacognitiveawareness and metacognitive regulatory abilities they will be enabled to recover from severe but rectifiable hardware malfunction all by themselves this is of particular importance to planetary exploration asa hardware fault need not be the end of a mission however as of today once a hardware malfunction occurs the remote robot is typically taken out of operation and troubleshooting is done manually in thefuture especially when more complex robots are deployed to construct planetary infrastructure for crewed exploration this can no longer be tolerated considering that a hardware fault may occur at any time sucha situation can become safetycritical for the robot the established infrastructure and for astronauts in the vicinity of the robotto overcome this issue recoverme proposes a novel approach for metacognitionenabled failure handling instead of relying on hardcoded recovery strategies by specifying how a robot has to react to a certain subsystem fault the project aims to bootstrap failure handling as a property of the cognitive architecture of the robot itself metacognitive awareness is created through a novel knowledge representation that describes how hardware faults may impact robot capabilities metacognitive planning will yield contingency configurations employing abstract affordancebased first orderlogic planning for selfprogramming to empower robots to monitor their own programming and evaluate the best strategy to react to arbitrary failure cases generic limitation models will translate subsymbolic fault information into semantically interpretable knowledge for metacognitive monitoring and metacognitive evaluation this will provide robots with competent strategies to deal with faults in a similar way to humans
when satellite navigation meets satellite communication in lowearthorbit satellite systems

in the realm of satellite systems communication and navigation have traditionally functioned as separate systems each requiring its own dedicated hardware however emerging wireless technologies present a gamechanging opportunity they can enhance navigation capabilities by the lowearthorbit leo satellite systems and enable integrated systems that serve both communication and navigation requirements this project aims to unlock the untapped potential of leo satellite systems for integrated navigation and communication inac a critical step for europe in developing costeffective dualpurpose satellite systems that could transform emergency services and internet of things iot applicationsthe project is structured around three key objectives firstly with the aid of leo communication satellites planned by the european union work plan 1 wp1 will establish a theoretical framework for leo satellite navigation by using dynamic constellation characteristics and doppler information secondly wp2 will design a communicationaided navigation system that leverages the lowlatency and high spectral efficiency of leo communication satellites aiming to enhance accuracy while minimizing computational demands lastly wp3 will develop an integrated system that combines communication and navigation using nextgeneration multipleaccess ngma techniques ensuring optimal performance in both communication and navigation without compromise with a projected market impact potentially surpassing 10 billion euros this initiative stands to make a substantial contribution to the european space ecosystem while providing groundbreaking solutions to global communication and navigation challenges
spaceiot solution box for climatesmart agriculture in africa

kijanispace greenspace in swahili is a highly innovative initiative built on the foundation of previous successful aueu collaborations and partnerships in the fields of space iot climate and agriculture the vision of the project is to extend the use of copernicus earth observation data for the application of climatesmart agriculture in africa to regional research and innovation development to enhance the use of copernicus data by local african stakeholders we have proposed several practical but innovative approaches first of all copernicus data should be integrated into the local iot dataset to enhance the local context users and market needs of the application therefore the project proposed to develop a spaceiot solution box called kijanibox greenbox in swahili that integrates the existing platform tools and dataset for simplified local availability and accessibility using the kijanibox eo and iot resources the project will launch two programs one called training program for skills development and creation of minimum viable products and another innovation program for sms innovation experiments in addition the project will conduct the pilot demonstration of two agricultural applications crop farming and fish farming finally the project will engage the various local and international stakeholders and actors with a multistakeholder approach to cocreate innovation and collaboration environments kijanibox is a highly innovationoriented consortium composed of thirteen 13 companies six european and seven african partners from seven 7 different countries the concept of the kijanispace project is being piloted in the great lake victoria basin region the ultimate aim of kijanispace is to pave the way for longterm sustainable economic growth and green job creation in africa and europe through copernius and iot
developers of circular solutions

deciso developers of circular solutions aims to support the delivery of services to induce investments projects for developing circular economy at local and regional scale in the following regions hamburg northwest germany west macedonia alentejo this is in line with implementing the european green deal and the eu circular economy action plan deciso will accompany the actions aiming to provide assistance for promoters in the development of financial schemesprograms for projects on circular economy based on the concept of circular economy ecosystem cee which implies mobilizing local stakeholders and when necessary citizens and scaling up the results from the local to the national and european levelsthe cee approach will make it possible to deal with economic organizational and cultural change through systemic solutions that involve all the players in the value chain of an asset and all those who can influence even indirectly its value this approach also allows reducing risks for investors because ecosystems with all their key factors including geographic location cultural factors and institutional support actively help an innovation become successfulsince the paradigm of the circular economy ecosystems can be declined in different ways based on the objective of the initiative the local context the type of actors and the sector the deciso approach will be implemented in different local contexts and topics in order to produce guidelines that can facilitate the replicability of the initiatives put in place considering all the technical economic legislative and social factors that can determine the success or failure of the initiatives
enabling smartgrid ready building through integrated solutions and digital technologies

the energy and building sector are vital to europes environment and energy policies in the current energy transition the building sector is recognized as a cornerstone due to the possibility to easily adopt advanced control strategies and smart management systems thereby costeffectively increasing buildings energy efficiency and flexibility while improving building users comfort productivity and health this costeffective energy use reduction will render faster implementation of onsite and nearby renewable energy sources facilitate demand electrification hence reducing europes energy dependencies achieving the building sector energy transition demands an improvement of the interoperability of european buildings with energy carriers and nonenergy services buildings must play an active role in ensuring the reliability resilience and sustainability of the energy system particularly in the face of evolving challenges such as climate change resource constraints and other threats eg cybersecurity geopolitical etc therefore the aim of entrance is to enable smartgridready and decarbonized buildings through the integration of energy efficiency flexibility onsite renewables mobility empowerment of endusers and interoperability between buildings and district heating and electricity grids the ambition of entrance is to develop and demonstrate solutions that promote building integration and active participation in the energy system and market through guaranteeing endusers comfort and empowerment while creating value for the economic actors of the energy landscape through four core principles based on integrated technology digitalization user engagement and performancedriven economics entrance solutions will be demonstrated in relevant environments to generalize the solutions for different geographical regions entrance includes demonstration sites from six different countries around europe
kinetic limits of manybody classical systems

this project studies the transition between dynamical laws governing the physical world at different scales our focus will be on large systems of interacting particles with random initial data underlying the kinetic theory of gases and dilute plasmas central to this theory are the boltzmann equation and its appropriate modification for charged particles given by landau their description of approach to equilibrium and irreversible behaviour is a legendary success in the physics of timedependent phenomena nevertheless the rigorous foundation of such equations remains a largely immature aspect of the theory this is a major problem in mathematical physics and nonequilibrium statistical mechanics the effective equations of kinetic theory are an approximation of particle systems ruled by the timereversible laws of classical mechanics but their validity should become exact in a suitable limit of large system size in the last decade there has been substantial progress in the derivation of kinetic equations from first principles such work is restricted to rarefied regimes results are available for models of interacting monatomic gases of identical particles besides the macroscopic equations leading the average behaviour results have been obtained for fluctuations large deviations and for the random evolution of tracer particles equilibrium fluctuations are in itself of great interest including results on long time scales which justify physically relevant applicationsmost of the results hold only for an overidealized model of hardsphere interactions none of them is with the present techniques extendable to realistic interatomic potentials the goal is to bridge this gap by proving the validity of kinetic theory for some of the most common interaction models in physics such as the boltzmann equation for lennardjones type forces the vlasovboltzmann equation for mixtures and the landau equation for screened coulomb potentials
models and instruments for transforming higher education systems through transnational multisector links

today in the digital era society is evolving at a rapid pace and investing in education have vast social and economic advantages for it it is the education that allows people to have access to sdgs 4it is not argued that a better educated people break away from poverty more easily help to reduce inequalities and achieve gender equality they are more tolerant they contribute to reduce crime to increase political and civic participation and generally to have more peaceful societies with reduced inequalities and imbalances within this context the project brings together european asia and african academic and nonacademic organizations in a staff exchange program with the goal to explore design and deploy innovative and context sensitive solutions for transforming higher education systems this international and multisector consortium is created as a platform for collaboration and is united by the principles of innovation partnership and solidarity with the purpose to research and identify successful contemporary models and modern instruments that can help higher education transformation and support the sustainable and effective adaptation of the higher education systems of the consortium members to the digital agethe aim of the project is study the process of digitalisation in different organisations and offer solutions concerning the improvement of the digitalisation practices the project consortium comprises both academic and nonacademic partners as well as experts in diverse fields such as but not limited to economics law management linguistics this allows a broad and an indepth approach to digitalisationon the basis of the identified gaps in the digitalisation process the project will propose approaches and methodologies which will be realised as different disciplines for the academic institutions partners in order to build sustainable competences for the transfer of knowledge and skills
a bioprinting platform for the rapid reliable controlled and quantifiable patterning of cellular aggregates and microtissues into macroscale regenerative grafts with programmable architectures

a fundamental limitation with current approaches aiming to bioprint tissues and organs is an inability to generate constructs with truly biomimetic composition and structure resulting in the development of engineered tissues that cannot execute their specific function in vivo this is perhaps unsurprising as many tissues and organs continue to mature postnatally often taking many years to attain the compositional and structural complexity that is integral to their function a potential solution to this challenge is to engineer tissues that are more representative of an earlier stage of development using bioprinting to not only generate such constructs but to also provide them with guiding structures and biochemical cues that supports their maturation into fully functional tissues or organs within damaged or diseased in vivo environments it has recently been demonstrated that such developmental processes are better recapitulated in microtissues or organoids formed from selforganizing multicellular aggregates motivating their use as biological building blocks for the engineering of larger scale tissues and organ the main goal of micro2macro m2m is to develop a new bioprinting platform capable of spatially patterning numerous cellular aggregates or microtissues into scaledup personalised durable loadbearing grafts and guiding their remodelling into fully functional tissues in vivo within damaged or diseased environments this will be achieved using a converged bioprinting approach capable of rapidly depositing cells and microtissues into guiding scaffold structures with high spatial resolution in a rapid reliable reproducible and quantifiable manner these guiding structures will then function to direction the fusion and remodelling of cellular aggregates and microtissues into structurally organised tissues in vitro and in vivo as well as providing mediumterm 35 years mechanical support to the regenerating tissue
monocytetomacrophage trajectories after lung injury spatiotemporal investigation molecular regulation functional implications for lung regeneration and immunity

the lung is particularly exposed to airborne and bloodborne insults the mechanisms underlying lung tissue repair are therefore of fundamental biological importance and have critical implications for the prevention lifethreatening inflammatory and tissuedamaging responses lungresident tissue macrophages and inflammatory monocytederived macrophages infmomac are key players in the maintenance of homeostasis repair responses and disease pathogenesis yet to date the complexity of lung macrophage responses after injury is far from being resolved here we propose to explore infmomac trajectories and functional diversity in an unprecedented manner to this end we will use mouse models of infectious and noninfectious lung injury combined with single cell and spatial analyses robust fatemapping models and gene targeting approaches to investigate the spatiotemporal regulation the subtissular niches the intrinsic molecular programs and the extrinsic stress inflammation and nicherelated signals imprinting the identities and functions of infmomac subpopulations and the functional consequences of the maintenance of infmomac for lung immunity to a subsequent challenge finally we will investigate the interactions of infmomac with niche cells in humans by analyzing the infmomac landscape in human injured lungs and by studying a novel human embryonic stem cellderived lung organoid model in coculture with monocytederived cells based on robust preliminary data sophisticated models and cuttingedge technologies this ambitious project will increase our understanding of the basic mechanisms underlying the finetuning of infmomac trajectories in response to lung injuries and will thus provide robust foundations to manipulate their fate in medically relevant conditions such as severe respiratory viral infections and acute respiratory distress syndrome