Dragon09/odtu_chatbot huggingface dataset:
redirect innovation to foster positive tipping points and prevent lockins in the clean energy transition

the climate is approaching dangerous points of no return yet national climate commitments are lagging one and possibly the only way for a timely transition to a green economy is through positive tipping points ie rapid large and irreversible shifts towards clean energy technologies due to strategic interventions and momentum buildup above critical thresholds the current generation of coupled climateenergyeconomic models which guide climate mitigation strategies is highly inadequate to represent and leverage these shifts properly current models overestimate technological costs underestimate feasibility concerns and oversimplify the decisionmaking processthe ripple project aims to challenge these limitations and advance the empirical and modelling foundations of positive tipping points first it explores how innovation and diffusion of key green technologies can drive costs down and enable a swift transition away from fossil fuels novel economic approaches are integrated into a climateenergyeconomic model to comprehensively map the space of alternative nonlinear transitions of key technologies and their interdependencies second the project investigates material and financial feasibility concerns it augments a climateenergyeconomic model to study lockins due to scarcity of critical materials insufficient funds and fragile international dependencies third the project elaborates on new ways of identifying early signals of positive tipping and generating policies that respond to those signals interpretable machine learning is used to turn noisy technoeconomic data into actionable green energy tipping interventions while exploratory modelling highlights the tradeoffs between costs speed feasibility fairness and robustness to uncertainties the ultimate outcome is the first quantitative integrated framework to understand how to redirect innovation for the green economy to tip before the climate does
traditional foodways innovation resilience and continuity in the ancient mexican highlands

traditional foodways innovation resilience and continuity in the ancient mexican highlands tirecua aims at reconstructing the diet of ancient mesoamerican populations from the western mexican highlands food is a highly multidimensional character which not only translates the necessity of eating but also fundamental cultural processes subsistence practices and environmental constraints today our food practices have an increasing impact on human health and on the environment and the rediscovery of more traditional eating habits has the potential of reducing our environmental footprint increasing global health and improving the future of food security this research will focus on mesoamerica a region traditionally relying on an original and economically important set of food products but where indigenous knowledge is seldomly recognised tirecua will develop an innovative multidisciplinary approach to understand what food was consumed by whom and how it varied through time this eufunded research project will setup a stateoftheart framework for biomolecular diet analyses including stable isotopes palaeoproteomics and ancient dna by combining the skills of the applicant with the host institution the outcomes of tirecua are expected to be of interest to a large public by highlighting ancestral recipes acknowledging the cultural origin of this food in the deeptime and promoting alternative healthy and sustainable meals
neanderthal coastal adaptations in southern europe and eastern asia

nearcoast will advance our understanding of neanderthal behavioural and foraging ecology and the role of coastal environments to neanderthal adaptive capacity and resilience through the middle palaeolithic the project will apply a suite of bioarchaeological and molecular techniques on faunal remains recovered from key neanderthal coastal sites figueira brava complejo del humo los aviones and üçağızlı ii located between the eastern mediterranean and the atlantic europe nearcoast will test the hypotheses that i investment in shellfish procurement responded to a longitudinal gradient in intertidal profitability ii intertidal resources were mostly secured in colder months of the year in response to the seasonally controlled altitudinal mobility of large ungulates as proposed for upper palaeolithic and mesolihic groups in these region the fellow asier garcaescrzaga is an archaeologist who integrates malacology trace elements and shell stable isotopic analysis to study mesolithic coastal adaptation with nearcoast he will expand his research portfolio to the middle palaeolithic and receive training in vertebrate zooarchaeology palaeoproteomic and on recent developments in trace elements the project will elevate our scientific and public knowledge on neanderthal coastal adaptation it will expand the fellows transferable and specific skills in bioarchaeology while placing him in a unique position for a career independence nearcoast will make an impact in the field of middle palaeolithic archaeology and so doing will enhance the visibility of the fellow and institutions involved the fellow will be supervised by colonese pi of the erccog project tradition and will be part of the new generation of biomolecular archaeologists trained at the department of prehistory and the institute of environmental science and technology
analysis of molten saltair heat exchangers for large scale energy storage technologies

molten saltair heat exchanger thermal sizing design influences the performance and in turn the costeffectiveness of a range of emerging technologies such as concentrated solar power integrated pumped thermal energy storage process heating and hightemperature processes like h2 production supporting the green transition as per 2019 reports worldwide power generation capacity from molten salt storage in csp plants was 60 gwh thermal and is expected to rise several folds by 2030 1 the primary goal of max4les is to develop and provide a scientific benchmark for the optimal design of molten saltair shell and tube heat exchangers i aim to identify the cause and effect of freezing and time required for melting the solidified molten salt inside the tubes of molten saltair heat exchangers and to propose selective coatings to avoid the salt deposition on the tubes to prevent clogging that might lead to reduced performance andor cause structural damage the project outcomes will bridge the existing knowledge gap and support the future development of molten saltair heat exchangers the training at the host technical university of denmark denmark secondment at eindhoven university of technology netherlands and the short stay and cooperation with the industrial partner aalborg csp denmark will provide me with the ideal technical ethical and cultural exchange and significantly strengthen my future career prospects the intersectoral approach will provide the basis for implementing the research outcomes commercially overall the project will set a foundation for me to continue focusing my expertise and skills to contribute toward meeting the longterm european unions eus netzero decarbonization goals by 2030
vision transformers with ferroelectric oxides

vitfox project develops a ferroelectricaugmented intelligent semiconductors technology to demonstrate a vision transformer vit with superb energy efficiency of 50 topswatt and make an impact on aipowered edge applications the project aims to strengthen the leading position of eu and korea in hafniabased sicompatible ferroelectric electronics pioneered in europe germany and significantly advanced by korean researchers members of this project vitfox proposes advancements beyond the state of the art at a trl 45 in the whole value chain from materials and devices to heterogeneous and monolithic integration as well as design and simulation of the vit circuits and systems three of the project objectives target the design and fabrication of the main components of the vit namely a computein memory demonstrator a circuit level simulator and a hardwaresoftware cooptimization platform with ferroelectric oxides the platform will support two types of emerging memories highdensity 3d feram developed in korea and epitaxial ferroelectric tunnel junctions developed in eu another set of objectives target the low voltagelow power operation of ferroelectric devices using epitaxial growth new metal electrodes and advanced processing techniques such as atomic layer etching as well as the integration of these devices to fabricate memory arrays used in the vit the consortium consists of five universities two research organizations and one large european technology development laboratory mobilizing all necessary expertise and infrastructure in ferroelectric and semiconductor technologies the consortium plans to valorize the technology in two of the newly established chips ju pilot lines on advanced integration during the project and advance it to higher trl 5 after the project end to ensure manufacturability for future volume production
novel precision fermentation process to produce animalfree bioidentical ovalbumin

eggs are critically important in the global food system due to functional and nutritional properties yet the egg market and supply chains are in crisis due to cagefree requirements and avian flu onego bio will make it possible to manufacture egg protein entirely animalfree we developed a highlyscalable precision fermentation process using the patented trichoderma reesei cellularbased production to produce animalfree ovalbumin we produce bioidentical egg protein with cost parity and 87 lower co2 emissions compared to traditional animalderived eggsovalbumin is the most important egg protein responsible for the essential ingredient performance this single protein ovalbumin can solve all current challenges in the egg market and supply chainour product bioalbumen provides the nutritional and functional upsides of egg protein without the environmental ethical and safetyrelated drawbacks our manufacturing method stabilises the food supply chain and increases food security
archaeal virology unravelling the mechanisms of interviral warfare

archaea are ubiquitous microorganisms that are found in numerous surroundings ranging from extreme environments to the ocean and the human gut and skin marine archaea have a huge impact on biogeochemical cycles and the climate while archaea in the gut influence the human microbiome and health archaea can be infected by unusual viruses that are structurally very diverse and have unique infection mechanisms as viruses are the major predator of archaea they shape archaeal communities this project will visualize the mechanisms that viruses use to fight each other to gain access to host cells this knowledge of viral mechanisms can for example be applied to control archaeal populations to increase human gut health or to reduce the production of the harmful greenhouse gas methane by gut archaea of ruminants viruses by far outnumber cells and there is an ongoing arms race for survival recently it was observed that in nature half of the microbial cells are infected by viruses at any given time and this number is even higher for archaea thus viruses often encounter cells that are already infected yet it is unknown what happens in cells when a second virus infects them and how certain viruses are able to inhibit infection by a subsequent virus with the exception of some wellstudied bacteriophages the molecular mechanisms underlying this process are poorly understood my project aims to explore the conditions under which exclusion between viruses is induced and which mechanisms underlie this exclusion i will study this process using viruses from extreme environments eg salt lakes and hot springs and use novel molecular biology and imaging tools for these models which allow for the exploration of archaeal viral biology at an unprecedented depth the outcome will be of lasting impact in the field of microbial virology and application of this knowledge will enable innovations that stimulate human health fight global warming and fuel biotechnology
insitu monitoring of electromagnetic interference

only a few years ago a mobile phone was exclusively used to make calls today it is a powerful smart computer cars used to be purely mechanical but now theyre full of computing technology even medical equipment has evolved from basic instruments to hightech systems but for electronic engineers it is a tough world as more complex electronics are being positioned closer to each other creating the conditions for electromagnetic interference emi we simply cannot predict with any certainty what new technologies will emerge in the next decade however based on our experience we do know that they will introduce new forms of emi whether radiated or conducted quasicontinuous or transient amplifying the complexity of this issue the isense doctoral network on insitu monitoring of electromagnetic interference has a clear mission to train a new generation of experts who possess the skills and fundamental knowledge required to effectively address our intricate and everevolving electromagnetic environment to tackle the issue of emi specific innovations to be expected are innovative emi sensors and monitoring methodologies early warning tools for detecting emi novel modelling and test strategies and overall a greater success in avoiding emi issues based on the training in specific st skills as well as soft and entrepreneurial skills the isense doctoral candidates will become highly employable scientistsengineers for the eu electronics sectors and other related industries including automotive medical equipment power generation and distribution providers as well as for standardisation bodies scientific institutions and public organisations interdisciplinary training is assured with 9 universities and 2 research organizations as beneficiaries from 7 countries while sectoral collaboration is ensured by support from industrial entities like thales philips healthcare valeo airbus barco rise forming an integrated international consortium
transparent interpretable robots

trail strategically focuses on a novel highly interdisciplinary and crosssectorial research and training programme for a better understanding of transparency in deep learning artificial intelligence and robotics systems in order to train a new generation of doctoral candidates to become experts in the design and implementation of transparent interpretable neural systems and robots we have built a highly interdisciplinary consortium containing expert partners with longstanding expertise in cuttingedge artificial intelligence and robotics including deep neural networks computer science mathematics social robotics humanrobot interaction and psychology in order to build transparent robotic systems these new esr researchers need to learn about the theory and practice of the principles of 1 internal decision understanding and 2 external transparent behaviour since the ability to interpret complex robotic systems needs highly interdisciplinary knowledge we will start on the decision level to interpret deep neural learning and analyse what knowledge can be efficiently extracted at the same time on the behaviour level the disciplines of humanrobot interaction and psychology will be key in order to understand how to present the extracted knowledge as behaviour in an intuitive and natural way to a human user to integrate the robot into a cooperative humanrobot interaction a scaffolded training curriculum will guarantee that the esrs have not only a deep understanding of both research areas but experience optimal skill training to be fully prepared for a successful research career in academia and industry the importance and need of this research for the industry is clearly visible with the full commitment of 7 leading european and worldwideoperating robotics companies that together cover the majority of europes robot market and a broad spectrum of ai applications
fate of sulfonamides in wetland systems by multielement stable isotope concept

antibiotics ab their degradation products and the translocation of resistant genes in the environment poses serious health risks to humans animals and ecosystems onehealth concept constructed wetlands cw have untapped potential to treat wastewater from agriculture domestic sewage or contaminated water effluents from waste water treatment plant for eliminating ab however the overall distribution persistence and the contribution of different dissipation processes of ab in cw remain mostly unknown here the project aims to identify degradation processes of ab in wetlands by developing a cuttingedge fourdimensional element isotope 13c 15n 2h and 3334s approach and concepts to improve cw use worldwide sulfonamides sas are selected as representative ab methods of isotopeeffect free extraction from environmental matrices and isotope analysis will be developed while a conceptual framework will be tested to isotopically identify degradation processes in wetland including the direct and indirect photolysis with dom and nitrate and plant degradation in vitro and in vivo and to further monitor sas degradation in the field using isotope concepts this work will open a new paradigm to better understand and follow up the fate of sas and other emerging micropollutants in wetlands but also for other field conditions the applicant has a proven record of experience of isotope concept application supported by 6 first authored publications and has developed independent thinking and problemsolving skills during his past scientific study the host holds both unique infrastructure for stable isotope analysis gceairms mcicpms and the expertise for implementation evaluation and interpretation and a rich experience for wetland field work this project is thus based on the genuine combination of expertise of all contributors to gain new knowledge and experience enabling the applicant to develop his own research path within this emerging field
mechanisms of cotranslational assembly of multiprotein complexes

most proteins function within larger complexes how these intricate structures are correctly formed is poorly understood yet critical to all cellular processes and pathological conditions recent breakthroughs suggest that multiprotein complexes form cotranslationally by superassemblies of multiple ribosomes and other cofactors that are coordinated in time and space this striking notion contrasts starkly with textbook models and is key to the possibilities and failures of complex formation however owing to technical limitations the mechanisms and scope of actively coordinated protein assembly are poorly understood elucidating how these large and transient cotranslational formations produce protein complexes throughout the genome is a nextlevel challenge that cannot be addressed by a single discipline we propose a unique merging of cuttingedge approaches 1 ribosomal profiling to detect interactions between ribosomes engaged in assembly and cofactors genomewide 2 singlemolecule force spectroscopy and superresolution imaging to reveal ribosome movements and nascent chain assembly 3 cryoem and tomography to elucidate the structural basis of ribosome interactions that enable direct assemblyour program addresses 1 the coordination of multiple ribosomes in time and space 2 the folding and assembly of nascent chains and guidance by chaperones and novel cofactors 3 the major protein complexes classes of homodimers higherorder oligomers heterodimers and complexes formed at membranes this ambitious program will provide insight of unprecedented detail and scope spanning from the cellular to the atomic level from in vivo to in vitro from genomewide patterns to molecular mechanisms and from bacteria to human cells it will impact a vast spectrum of protein complexes reveal unknown layers of control in protein biogenesis with implications for ribosome quality control artificial protein design and mechanisms of disease
advanced sails to reduce environmental impact and opex of maritime transport

b4b has patented and developed a highly novel wingsail based on aeronautics which making use of the wind as renewable energy source for propulsion reduces up to 30 of the fuel used in maritime transport merchant vessels fishing vessels passenger vessels etc reducing operating costs and the environmental impact of the maritime industry also complying with new international maritime organisation imo regulations and the european green deal goals so far the company has two patented different type of wingsails a foldable wingsail more suitable for vessels with space and maneuverability restrictions and a suctionbased wingsail esail suitable for vessels with no restrictions and also more affordable for smaller vessels like fishing vessels
learning to create virtual worlds

in recent years we have seen a revolution of learning methods that generate highlyrealistic images such as generative adversarial neural networks autoregressive methods or diffusion models eg dalle stable diffusion runway etc unfortunately the vast majority of these methods are tailored towards the 2d image domain while their respective 3d counterparts 3d models that fuel computer graphics applications and enable visually immersive experiences remain in their infancy in this proposal we tackle the challenge of automatic generation of 3d content for virtual worlds such 3d generated content enables versatility with flexible rendering from arbitrary viewpoints that match the visual fidelity of the real world we focus on 3d content creation for visually immersive experiences for a much wider audience in myriad applications such as video games movies arvr scenarios cad modeling architectural industrial design and medical applications we believe that the key towards automated highfidelity content creation lies in developing new machine learning techniques to transform 3d content generationa we will develop 3d generative models that output 3d polygon meshes along with their surface textures and material properties highlighting generation of 3d content that can be directly consumed by modern graphics pipelinesb to train our 3d generative models to reflect the complexity and diversity of real data we will devise methods for supervision from images and videos the key challenge here is that such collections of images and videos are by nature incomplete projections of the underlying 3d world thus requiring learning paradigms that generalize across partial instancesc we will research techniques that provide control and editability through conditional generation in particular we will focus on conditional input from both novice eg textbased editing and expert eg based on existing authoring tools users alike