Dragon09/odtu_chatbot huggingface dataset:
direct in utero engineering of mouse models

mouse models are a gold standard for life sciences research spanning developmental biology cancer studies and preclinical testing but they also have important limitations mouse colony maintenance is expensive and the large colonies needed are ethically problematic approaches aiming for celltype specific manipulations can be confounded by leaky promoters offtargetunknown promoter expression endogenous cre sites and cre toxicity finally mouse strains generated in different inbred genetic backgrounds yield confounding results when interbred or necessitate extensive backcrossing and again large usage of mice an alternative strategy to generate mouse models circumventing these issues is direly needed to solve this problem for the mouse nervous system we previously developed neural plate targeting with in utero nanoinjection neptune neptune targets 95 of cells in the brain can recapitulate established mouse models and can be used flexibly for celltype specific manipulations in limitless my lab will leverage our expertise in ultrahigh titer viral production developmental biology and technology development to go beyond the state of the art and develop a technology for wholeembryo editing in utero we will combine this technology with next generation single cell lineage tracing to resolve the family tree of all cell types in developing embryos providing both fundamental new knowledge and information that is leverageable for further development of the technique in sum my lab will go develop a muchneeded technology for whole embryo genetic manipulation opening the door to limitless new types of experiments direct in utero wholeembryo gene editing would accelerate life sciences research reduce the financial and ethical costs of animal work and enable experiments currently beyond reach with existing technology
europes rail flagship project 3 holistic and integrated asset management for europes rail system

the iam4rail project focuses on seven 7 different integrated demonstrators for rail assets which are key for research and innovation ri in the rail sector integrating asset condition information obtained via advanced monitoring with decisionmaking tools and into the traffic management system tms combining available information with artificial intelligence ai and digital twins are covered as key topics for ri in iam4rail other topics such as interventions using cuttingedge technologies as robotics or additive manufacturing are seen as relevant for improving asset management in the rail sector an european crossborder interoperable and holistic integrated approach is needed for those topics and others in the asset management framework that are to be transferred once developed crucial to harmonise european rail systemtherefore iam4rail aims to reinforce the next generation of intelligent and integrated rail asset management providing and demonstrating innovative solutions covering fixed and rolling stock assets minimizing the life cycle costs of assets and extend their lifetime while meeting safety requirements and improving the reliability availability and maintainability of the rail system iam4rail will pave the way for the integration of asset condition information and tms enabling optimization of train routing decisions and improving the overall lifecycle of monitored assetsiam4rail ensures an increased volume of rail traffic in existing lines with improved cost efficiency and lower co2 emissions from their maintenance and operations furthermore construction time and cost of new assets and lines are reduced the durability and reliability of their assets increased and their life cycle costs are optimized competitiveness of the european railway industry is strengthened through the obtention of more qualified products and its application improves the performance capacity flexibility and punctuality of the whole railway system
large area uniform industry compatible perovskite solar cell technology

luminosity is an industry driven project aimed at leveraging the flexible perovskite solar cells psc technology to commercially relevant production scales using established industrial processes the objective of the project is to demonstrate rolltoroll r2r processed photovoltaic pv module with power conversion efficiency pce of 20 at an area of 900 cm2 and thus overcome the efficiency gap between labscale and fabscale processed devices elevating the trl up to 7 one of the unique selling points of this work is the commercial substrate foil based on aluminum with fluorinatedtinoxide fto electrode layer which is an intellectual property of hyet solar the end user in the consortium by using this substrate foil luminosity will alleviate the bottlenecks related to limited process window of typical polymer substrate foils such as high quality nickel oxide charge transport layer deposition requires 300c thermal process to reach high stability efficiency and lower environmental impact while keeping the flexibility the consortium encompasses the full value chain from research and technology developers equipment manufacturers suppliers and industrial endusers together we are wellequipped to surmount the existing challenges that have hindered the widespread adoption of psc technology specifically luminosity will achieve operational stability exceeding 20 years that rivals the lifetime of current commercial thin film pv technologies while ensuring economic 014 usdw at r2r production scale and environmental feasibility 50 lower co2 footprint in comparison to csi pv substantiated by comprehensive life cycle and technoeconomic analysisluminosity will fasttrack the market uptake of flexible perovskite pv technology and thus enable rapid increase of pv installation capacity in eu to reach the goals set by repowereu plan
tertiary education redefined aidriven upskilling reskilling platform for industryrelevant digital skills

the global skills gap estimated at 787tr and 85m unfilled vacancies by 2030 has been accelerated by the pandemic and the digitization of various sectors the demand for highincome tech jobs is growing with estimated 149m new technology jobs by 2025 as highincome jobs particularly in technology continue to grow there is a pressing need for education solutions that can provide relevant and uptodate training to meet the evolving skills demands of tech companies to address this turing college offers an innovative and scalable solution as the worlds first accredited aidriven online tech college with flexible personalized industryrelevant education handson training unlimited mentorship and a talent marketplace turing college aims to bridge the talent shortage in the tech sector we offer a unique pedagogy approach empowering senior students to tech junior students and reducing the demand for instructors by up to 10x our solution targets the 2 trillion higher education market catering to the growing demand for upskilling and reskilling in the tech industry we aim to help millions get ai and tech skills needed to foster society to a more productive peaceful futuresuccessful commercialization is projected to reach over 49000 students by 2028 generating 148 million in annual revenue and creating up to 1050 new jobs
membranes as enablers for future biorefineries from fabrication to advanced separation technologies

the doctoral network memfast membranes as enablers for future biorefineries from fabrication to advanced separation technologies aims to educate 10 future professionals who have the needed understanding to facilitate the utilisation of membranes in the growing biorefining industry the research and training activities implemented in the memfast network form a first of its kind novel and unique doctoral training program this reflects changing research priorities and emerging disciplines related to improving biorefinery processes to grow the circular economy the network structures training at the european level in beneficiaries cnritm lut lu ulanc umk unl ut and associated partners alfa laval aquaporin fibenol deltamem domsjö b4c asp membrain nx filtration raiznavigator unical upm across 11 countries giving the doctoral students a highly applied understanding on both membrane manufacturing and membrane processes and biorefinery processes that are critical to the future of eus chemical sector and circular economy the individual projects of the doctoral candidates aim to push forward the use of membranes in biorefineries through the development of advanced membranes novel tools for monitoring and controlling of fouling and novel continuous processes for simultaneous bioconversion and recovery of products the network program leads to a new approach to training for the sector and will provide a first cohort of highly skilled future research leaders and managers by combining this network knowledge furthermore it creates a basis for a european doctoral education focused on membranes in biorefineries that will be continued in the future
flash federated learning supporting efficient and reliable inference over vehicular networks

the flash project aims to establish the theoretical foundations of machine learning and wireless communications that will enable the vision of assisted and selfdriving systems unfortunately current systems cannot provide safe and reliable driving because they lack distributed and realtime learning algorithms meeting the critical latency and reliability requirements in highly dynamic and fastvarying wireless channels although the fifth generation of cellular systems supports the communication demands for assisted and selfdriving and machine learning proposes federated learning for distributed scenarios the wireless communications and machine learning domains are not sufficiently integrated for realtime critical applications yet it is only by their integration that the vision of assisted and selfdriving will become real to this end we will establish a theoretical and algorithmic integration of federated learning and cellular networks that serve vehicles which we refer to as federated learning supporting efficient and reliable inference over vehicular networks flash flash builds on the codesign of a fundamentally new ecosystem in which federated learning algorithms address critical constraints from vehicular applications while resource allocation algorithms adapt wireless communication resources to the inference tasks the project will implement flash by establishing and validating theoretical and algorithmic foundations for assisted and selfdriving systems thus we not only expect to have an academic impact but also a great societal impact by enabling the fulfilment of sustainable development goals through reduced fuel consumption traffic emissions and fatalities ultimately the project provides outstanding training for a talented young researcher dr mairton barros at princeton university for 24 months with prof h vincent poor and kth royal institute of technology for 12 months with prof carlo fischione
gammasecretase allosteric modulation as preventive therapy in alzheimers disease

the recent advent of therapeutic aantibodies has validated amyloid plaques as drug targets in alzheimers disease ad they remain expensive prone to side effects and clinical benefit is limited the field needs a safe and cheap drug preferably a small compound that can be taken orally and in a preventative way before brain damage has occurred despite strong theoretical potential further clinical development of gammasecretase allosteric modulators gam is currently hampered by the lack of strong experimental evidence that they are safe and can effectively prevent ad in this poc we will exploit findings of our erc grant cellphasead to generate such evidence we developed an innovative xenotransplantation model beyond the classical mouse models as it shows not only amyloid plaques but also the induction of neuroinflammation real taupathology granulovacuolar neurodegeneration and secretion of tau biomarkers in the blood all characteristic of ad pmid37708272 we will treat this model in collaboration with a contractor with a newly developed compound to demonstrate that this gam can prevent in a safe and effective way this ad pathology using an innovative unbiased secretase assay we will provide direct evidence that this gam in contrast to the previously failed gammasecretase inhibitor semagacestat maintains normal processing and signalling and does not show mechanistic driven side effects the experiments aim to support the concept that gam can be developed as preventative medication in both sporadic and familial ad and to bring the compound forward to clinical trialing
immersive digitisation upcycling cultural heritage towards new reviving strategies

digital technologies are also playing a key role in the sustainability transformation therefore impulse applies a comprehensive approach to tackling some of the major pressing gaps in the european cultural heritage digitization processes in doing so impulse will develop groundbreaking comprehensive solutions and methods for digitization processes and accessibility of digital cultural heritage collections that will enable their innovative reuse solve challenges related to the interoperability of platforms and facilitate the availability of existing digitized cultural heritage content in novel contexts like the metaverse while creating innovative standardization procedures and adapting legal frameworks to contemporary transformations and creative processes in and for education arts and ccsi impulse will foster solutions that extend the range and consequently the quantity of artifacts and objects that can be displayed through using xr to recreate objects making collections more virtually accessible in order to enable original uses of digital cultural heritage archives to create diverse and layered narratives for the wider demographic audience and underrepresented communities empowering them to engage more deeply with the topics and themes on display also through artistic visual artists and dancers performance through impulses pilots and prototypes impulse will also enable connections and encounters among researchers artists cultural heritage practitioners ccsis entrepreneurs local institutions companies and other relevant stakeholders through effective engagement such as impulse community of practice and appropriate tools and channels such as impulse hackathon and acceleration mentoring hub in order to facilitate effective dialogue cocreation and capacity building in immersive digitization
energy efficiency and electrification technologies for heat flow optimization in process industries

industrial process heating accounts for 16 of total final energy demand and 13 of the greenhouse gas emissions in the eu decarbonizing industrial process heating through electrification and increased energy efficiency is a key measure for reaching the climate targets in 2030 reducing the dependency on fossil fuels strengthening the exploitation of local renewable energy sources and increasing the competitiveness of the european industry while there are highly efficient technologies such as industrial heat pumps available for temperatures below 150 c there is a clear demand for novel technologies for processes with heat demands at higher temperatures eeethos will fill this technology gap by developing keyenabling technologies for energy efficient flexible and decarbonized process heating and demonstrating them in five installations at industrial endusers at a trl of 7 the technologies comprise among others two hightemperature heat pump solutions for steam supply at up to 200 c a reversed brayton heat pump with supply temperatures up to 300 c an innovative technology for heat pumpbased drying and heating of minerals a highly integrated steam compressionbased solution for superheated steam drying and a heat capturing device for radiative waste heat recovery these keyenabling technologies will be demonstrated in 5 demonstrators at industrial endusers representing eus energy intensive process industries asphalt ceramics pulp paper bricks and steel these technologies are scalable for plantwide implementation allow a complete decarbonization at energy savings between 43 to 86 based on local renewable energy sources the development implementation operation and scaling of these technologies is optimized by use of digital twinbased solutions the project will be a cornerstone for enabling a decarbonized efficient and competitive european industry by developing and demonstrating keyenabling technologies at large scale
introducing safe to european deep tech industry

a safe a simple agreement for future equity is a financial instrument which has been developed by y combinator one visible accelerator in the us more than 10 years ago currently in the us and in canada more than 80 of the investments in startups are realized as safe investments in europe this financial instrument is not as widely diffused the reasons for developing the safes lie among others in a higher transaction speed and a lower level of bureaucracy in all periods of the investment lifecycle both mentioned reasons might also toughen up the european financial ecosystem since such an instrument can not be transferred in a blind copy mode into another cultural ecosystem with different policies and mentalities the objective of deepsafe is to design validate disseminate and finally establish an europeanized instantiation of core safe building and deliver it into the european startup ecosystem 40 startups from emergingmoderate regions negotiating safe agreements with investorscorporates as outcome deepsafe will be providing a validated deepsafe legal framework tailored to ec law a deepsafe curriculum used for training all stakeholders a deepsafe white paper deepsafe crossborder use cases and best practices for dissemination and awareness creation in order to increase the competitiveness of our startup ecosystem in europe
msca fostering balanced mobility flows in europe

the conference will aim to strengthen the impact of the msca programme in achieving the goals of the new era and will address the unbalanced mobility flows that still represents a major challenge for member states and contributes to the research and innovation divide within the eu return migration and reintegration processes of msca researchers after the end of their project to the countries of origin will be the main topic of the conference at the conference we will discuss and elaborate the multidimensional msca talents mobility flows among various msca stakeholders including researchers we will focus on the diversity of mobility flows and the different aspects and effects of msca return mobility and reintegration processes in countries of origin to achieve wellbalanced mobility flows the first objective is to raise awareness of the importance of return mobility and reintegration processes in order to strengthen the balanced mobility flows of msca researchers the second objective is to show the examples of existing good practices as well as barriers instruments and policies to promote the return migration and reintegration processes of msca fellows after the end of their project the conference will be a venue for msca researchers and stakeholders to share discuss and elaborate on their experiences challenges and proposals the third objective is to provide recommendations for the implementation of msca return migration and reintegration tools and policies at eu member state research organisation and individual levels in line with the conference programme our discussions will focus on the importance of additional measures taken by member states to create targeted training and career opportunities for researchers to improve working conditions and the working environment to support investment in human capital scientific and technological infrastructures to attract researchers back after their fellowships
untangling population representations of objects a closed loop approach to link neural activity to mouse behavior

a paramount component of intelligence is our ability to extract useful information in the world through our sensory observations object recognition is a fundamental problem in visual perception every day we depend on our ability to identify objects in our visual environment and our brain is capable of accomplishing it effortlessly and in a fraction of a second in spite of immense variation in the sensory information that arrives in our retinas understanding the algorithm that the brain uses to do this complex task is a decisive conquest in neuroscience but in order to understand ethologically relevant visual processing we need to understand how it drives behavior despite significant progress characterizing visual processing we do not understand how the visual system solves visual inference problems in natural environments and we are still far from having a complete understanding of how the brain creates untangled transformationinvariant object representations in the perceptualvisual domain that can subsequently be used to guide behavior the proposed research effort aims to i create a stateoftheart behavioral virtual navigation system for mice ii combine it with recent advanced functional brain recording techniques and sophisticated neural data analysis to study how objects are represented in the activity of large populations of neurons across the visual hierarchy and beyond and iii causally relate these representations to the behavior of the animal the outcomes of this project will provide significant insights into the computations used by the mouse visual cortex to extract relevant features from the environment identify how distinct features are represented across the mouse visual areas and how in turn these representations guide the behavior of the animals
adsorbate motors tricking microscopic reversibility on surfaces

amos represents a groundbreaking approach to achieve unidirectional motion on welldefined surfaces realize cooperative motor activity control flow processes and transport cargo at the atomic scale it is based on moleculesurface motors that overcome microscopic reversibility via controlled potential energy surface modulation with high potential impact in various fields light will be used to excite molecular motion offering great versatility hence the stimulus is given remotely to many molecules while characterization is done at the singlemolecule level allowing for statistical analysis of trajectories in two dimensionsdifferent motor concepts will be used to controllably modulate the potential energy surfaces and address the key challenges in the field of molecular machines at surfaces a variety of highly defined surfaces will be employed and novel adsorbate motors molecules that achieve motor functionality only when joint together with a surface will be studied advanced control of motion will be achieved by multiple motors complementary methods in microscopy spectroscopy and interferometry with extremely high resolution in space energy and time will be used a key aspect of this projectamos addresses both fundamental research and technological aspects it will yield elementary understanding of molecular motors with extremely high spatial pm and temporal fs resolution and investigate model systems for future applications with insight at the singlemolecule level it will explore collectivity to amplify motor activity by cooperative effects in precisely defined assemblies and will study these systems also under environmental conditions in view of steered flow processes at the solidliquid interface specific chemical interaction will realize transport and delivery of single or few atoms cargo with individual motor molecules a fundamental step towards bottomup construction of matter by molecular machines