Dragon09/odtu_chatbot huggingface dataset:
koopmanoperatorbased reinforcement learning control of partial differential equations

an unprecedented energy crisis is looming over us in order to transition to a greener and more energyefficient society existing technologies need to be improved and novel techniques such as nuclear fusion developed this requires the stabilization of aerodynamics heat transfer or combustion and fusion processes and thus the development of efficient control strategies for largescale dynamical systems in recent years reinforcement learning rl has emerged as a highly promising datadriven technique unfortunately we cannot trust rl to handle our most important and complex systems since the resulting controllers do not possess performance guarantees certifiable rl approaches such as linear or kernel methods tend to scale poorly such that their applicability is limited to toy examples in contrast to other application areas this is a complete showstopper for safetycritical engineering moreover the training is extremely data hungry and costly due to which rl itself contributes to the energy crisisthe vision of this project is to develop new foundational methods to equip rl controllers for largescale engineering systems with performance guarantees by exploiting system knowledge and systematically reducing the complexity to achieve this i will target three major breakthroughs consisting of a global linearization of the dynamics via the koopman operator framework b the extension of certified qlearning to continuous action spaces via control quantization and c the detection and exploitation of symmetries in the system dynamicsthe project requires significant joint advancements in several challenging areas such as control approximation theory and machine learning in the case of success the resulting controllers will provide a massive advancement of rl towards safetycritical engineering applications and significantly contribute to the challenge of meeting the future energy demands of our society
closedloop deep learning in earlystage drug discovery cloud platform for targeted protein degradation

celeris therapeutics is a deep learning company that uses innovative insilico methods such as geometric deep learning and graph neural networks to degrade currently undruggable targets pathogenic proteins the platform shall make a broad impact by addressing currently incureable diseases such as alzheimers parkinsons and different types of cancer like breast and prostate cancerceleris therapeutics technical solution is the web application orchestration platform celeris one it consists of three modules hades target id xanthos predicting biomolecular interactions and ligand design hephaistos automated synthesize and validate the addressed market is in the earlystage drug discovery and users are pharmaceutical and biotech companies with a focus on targeted protein degradation the targeted customers are med and comp chemists that currently rely on docking which is computationally intensive slow and inaccurate compared to celeristx deep learning methods
global entrepreneurial talent management 4

the main objective of getm4 is to research how entrepreneurs can deal with disruption to support not only economic development but also societal wellbeing in a digitized worldalthough the covid19 pandemic was widely predicted the resulting government restrictions caused unprecedented disruption all over the world and since disruption has become the norm eg wars energy crises climate change we must be better prepared and learn how to respond appropriately to it getm4 aims at identifying how entrepreneurial talent of individuals higher education and industry can play a crucial role in exploiting the opportunities and tackling the issues created by disruption underpinned by cutting edge digital innovation entrepreneurship is often expected to promote physical and mental wellbeing while at the same time entrepreneurs wellbeing is frequently threatened by widespread of technology itself to tackle this paradoxical situation an innovative multiperspective approach is neededthe research approach to tackle a global disruption needs to be global strong of an 18 partner consortium comprising of a transnational transdisciplinary transgenerational trans sectorial and gender balanced research team getm4 will organize over 300 secondments across 9 countries and 4 continents and a series of sandpits rotating between the partner institutions this global approach will allow researchers to gain firsthand and in depth insights on relevant research topics and develop their skills through networking and trainings our research will be underpinned by a respectful impact perspective as we believe research and innovation should be transferred and translated respectfully between the global south and north and knowledge should be shared equitably and in all directions
gaining leverage with spin liquids and superconductors

tropic will design new experiments to uncover the topological properties of quantum materials that will revolutionize quantum computing conventional approaches that rely on local interactions between qubits suffer from seemingly insurmountable problems such as controlling quantum decoherence while still achieving a useful number of qubitsalternative approaches based on nonlocal topological excitations such as majorana fermions could provide a solution but clear evidence for their existence is missing tropic aims to identify topological signatures of quantum spin liquids and superconductors by revolutionizing a techniqueresonant torsion magnetometrythat was recently developed by the pi our approach is unique in its extreme sensitivity to materials properties that are notoriously concealedthis proposal consists of three aims that focus on systems with promising hints of topology the quantum spin liquid rucl3 and the spin triplet superconductor ute2 each aim requires significant advances that will allow us to access the magnetotropic coefficientthe thermodynamic coefficient associated with magnetic anisotropyin new classes of materials for the first time aim 2 while obtaining new information aim 3the aims are summarized as1 refining resonant torsion to identify topological order associated with majorana fermions in rucl32 extending resonant torsion to high magnetic fields to investigate unconventional superconductivity in ute23 developing resonant torsion to higher frequencies to search for slow topological excitationsrecent media articles by quantum computing pioneers have warned that the hype is surpassing the performance a material revolution is needed to realize the promise of quantum computing we will develop a new experimental probes that will be applicable to broad classes of topological materials including small and fragile 2d systems and heterostructures where thermodynamic measurements are needed
beyond twopoint correlations from higherorder data statistics to neural representations

deep neural networks dnns have revolutionised how we learn from data rather than requiring careful engineering and domain knowledge to extract features from raw data dnns learn the relevant features for a task automatically from data in particular highorder correlations hocs of the data are crucial for both the performance of dnns and the type of features they learn however existing theoretical frameworks cannot capture the impact of hocs they either study lazy regimes where dnns do not learn dataspecific features or they rely on the unrealistic assumption of gaussian inputs devoid of nontrivial hocsbeyond2 will develop a theory for how and what neural networks learn from the highorder correlations of their data we break the problem into two partsi how we analyse the learning dynamics of neural networks trained by stochastic gradient descent to unveil the mechanism by which they learn from hocs efficiently in terms of the minimum amount of training data learning time required to attain satisfactory predictive performanceii what our preliminary research suggests that neural filters are primarily determined by the principal components of hocs we investigate how these principal components relate to fundamental data properties such as symmetries of the inputswe attack these problems by extending methods from statistical physics and highdimensional statistics to handle nongaussian input distributions studying the interplay between data structure and learning dynamics will allow understanding how specific learning mechanisms like attention or recursion are able to unwrap hocsby shifting the focus from unstructured to nongaussian data models beyond2 will yield new insights into the inner workings of neural networks these insights will bring theory closer to practice and might facilitate the safe deployment of neural networks in highstakes applications
gonaturepositive

the worlds economic systems do not currently recognise the value of nature to planetary and human health and mainstream economic drivers negatively affect the natural world both directly and indirectly the degradation of land and marine ecosystems undermines the wellbeing of billions of people costing about 10 of the annual global gross product however the restoration of nature presents enormous economic opportunities the idea of a naturepositive economy npe an economy that fully considers environmental impacts and sustainability and works to actively improve the state of nature and the pathways towards realising it remain poorly understoodthe ambition of gonaturepositive gonp is to provide muchneeded clarity and direction through a transdisciplinary consortium adopting a multistakeholder approach for systemic change with naturebased solutions nbs and naturebased enterprises nbes at its core five european and one global pilot covering agrifood forestry blue economy tourism the built environment will be cocreated with industrial political ngo and societal stakeholders in gonp we will deliver a clear definition and conceptual framework for the npe a roadmap proposing policy and governance pathways towards a npe blueprints for groundbreaking solutions to stubborn roadblocks and demonstrations of what a npe could look like on the groundgonp will demonstrate how naturepositive practices can generate multiple benefits for people and planet while reducing business risk and attracting increasingly naturesensitive investors it will pay particular attention to the role and potential of nbes developing unique platforms and capacity building measures to help them scale for maximum naturepositive impact finally we will cultivate naturepositive leadership harnessing the commitment of an impact board of multiplier networks towards achieving a longterm shared vision of the naturepositive economy
interconnected innovation ecosystems reduce reuse and rethink

the proposed project seeks to support the development of interconnected innovation ecosystems across the eu with a starting point in three focus regions the greater copenhagen region flanders and northern portugal to this end the partners will apply the s3innovation model for development of transformational actions towards a circular economy specifically focusing on actions for reducing reusing and rethinking resources within three sectors plastics textiles and construction this methodology will be employed to map and analyse regional capacities and potentials for transformation through the involvement of quadruple helix focus groups to include priorities from different actors in the innovation ecosystems based on these mappings the partners will identify crossregional actions with potential to drive circular transformation across european innovation ecosystems to enable concrete collaborations the partners will develop one joint crossregional action plan for collaborative actions in each of the three focus sectors particularly focusing on actions for reusing reducing and rethinking resources to prepare the ground for future implementation of the joint action plans the partners will focus heavily on dissemination across eu territories and capacity building for ecosystem stakeholders moerover the consortium will establish dedicated virtual collaboration spaces and communities on an already existing virtual platform to convene ecosystem stakeholders around project activities concerning circularity within plastics textiles and construction upon the postproject implementation of the action plans the proposed project is expected to contribute to increased market uptake and adoption of innovative solutions through concrete actions for connecting innovators to public buyers moreover the project is expected to facilitate an infrastructure which enables closer connections between research institutions and innovators
green cops and engos comparing the regulation of environmental crime in europe

this project explores the collaboration between police officers and nongovernmental organisations ngos in the fight against environmental crime in europe it uses qualitative methods and comparison of four case studies belgium denmark france and germany to account for convergencedivergence in three questions who are the ngos supporting green policing in europe and what do they do how do ngos and police officers work together in green policing how does the policing role of nonstate actors change our understanding of contemporary european states answering these questions is critical as the project tackles a key concern of european citizens and enriches the empirical and theoretical understanding of contemporary european policing and states
spatial arrangement and interactions of hsv1 cell entry associated proteins on the native viral envelope

herpesviruses are a family of large complex dna viruses that are highly prevalent across the global human population causing lifelong infections and cycle between latent and active disease the severity of diseases caused by this viral family ranges from cold sores genital ulcers and blisters to blindness meningitis cancer and congenital defects herpesviruses present a significant public health concern due to high prevalence ease of transmission severity of associated diseases lack of vaccines for most species and toxicity of available medical interventions there remains a pressing requirement to develop novel antiviral drugs to prevent diseases associated with herpesvirus infections entry of hsv1 the focus of the proposed research is dependent on membrane fusion mediated by virally encoded glycoproteins gb gd gh and gl found on the viral envelope although all four glycoproteins are known to be necessary for membrane fusion the molecular details and stoichiometry of the interactions as well as how the interactions regulate or influence the fusion process remains unknown the proposed project aims to uncover the spatial arrangement and interactions of the hsv1 cell entry proteins i will employ a multidisciplinary approach combining methods and data from structural biology biochemistry as well as biophysics to solve the mechanistic details of a virology question the proposed research is highly innovative as it is designed to push current technological barriers by taking advantage of recent methodological advances to answer specific key biological questions in herpesvirus entry i will determine at molecular resolution the spatial arrangement and temporal interactions between essential entry proteins required at the onset of the hsv1 infection this project has the potential to unveil the detailed mechanism of action of viral glycoproteins in their native environment that ultimately lead to hsv1 fusion
genomic surveillance to control pathogen infections in africa

the overall goal of genpath africa is to control pathogen infections in africa our consortium of african and european investigators proposes to build on our collective experience in responding to sarscov2 to better diagnose monitor and clinically manage current and future epidemics in africa we propose to expand genomics capacity to combat drug resistant hiv1 and tb through precision medicine and by using genomic epidemiology to guide the public health response genpath africa will also apply recent developments in wastewater and one health surveillance to detect emerging pathogens capacity development activities will include degree training in south africa and the transfer of technology to the national public health institute of mozambiquethe consortiums objectives will be achieved by connecting the specialized genomics facilities of the africa cdc pathogen genomics initiative africa pgi in south africa and kenya with african national public health institutes to translate scientific advances into public health actions longterm collaborations with germany and belgium will be leveraged to help achieve these objectives and make precision medicine and precision public health a reality in southern and east africa the consortium will also contribute to the longterm capacity building objectives of africa pgi by contributing to harmonising training resources and collaboration with existing networks to ensure that all data are of high quality and available in public databasesgenpath africa will advance the edtcp3 work program by i providing researchers and public health professionals with skills in genomic epidemiology to better understand infectious disease epidemiology and drug resistance ii strengthening capability in southern and east africa to rapidly respond to current and emerging epidemics and iii providing researchers with training to advance their scientific careers in africa and establish themselves as scientific and public health leaders
a step towards new plasma processing technology for medical purposes

medical devicerelated infections contribute to an increase in mortality prolongation of hospitalization and present a substantial financial burden to patients and society catheterrelated infections are among the most common causes of healthcareassociated infections worldwide the possibilities of low temperature plasma technologies for direct plasma and indirect plasma activated water disinfection of polymer materials will be studiedthe proposed project is focused on gaining detailed insight into the plasma processing of polymer medical tubes catheters using surface dielectric barrier discharge with liquid electrodes this will include the investigation of plasmainduced physical and chemical changes not only on the surface of the processed material but also the analysis of the surrounding gas and especially the used liquid examination of the discharge under specific conditions is beneficial for the understanding of the undergoing chemical and physical processes the decontamination effect of the plasma treatment of bacteria and biofilms present on the catheter surface and in liquids will be the key objective of the project this will be done by detailed studies of the bacterial response to reactive oxygen and nitrogen species in liquid and the biofilm growth inhibition on the polymer after the plasma treatmentthe development of the plasma technology capable of polymer treatment in continuous regime and application of such plasma systems for catheters treatment will allow for a larger impact of plasma processing expanding to a wide range of new industrial applications the obtained results will increase the quality of medical treatment reduce the costs of specific medical care and prolong the time between the required doctor visits for patients using different catheters plasma applications in medicine are leaping to become the medicine of the future and this is my chance to contribute to its development
multiactor collaboration dynamics and capacity building network inside and between akis to foster the upscaling of sfscs across europe

in line with the new cap post2020 the f2f strategy and the green deal the eu4advice project will develop enabling methodologies and tools to connect short food supply chains sfscs advisors in a common network with the aim of fostering the upscaling of consumerproducer chains across europe sfscs are a mean for producers to increase their bargaining power and to improve their position within the value chain and for consumers to increase trust transparency quality and safety of their food political and socioeconomic barriers and gaps need to be addressed in order to enhance the scope of consumerproducer chains across europe and eu4advice will provide the necessary tools to the relevant stakeholders to overcome them one key challenge to achieve this goal is to improve national akis by implementing new governance models that facilitates the integration of sfscs advisory servicesthrough a multiactor approach involving advisors policy makers researchers farmers and consumers and by implementing a living lab methodology eu4advice will create the foundations for the establishment of a network of sfscadvisors across europe that will be appropriately structured and connected to a diversity of stakeholders within the national akis the development of networking tools contents for sfscs advisors a tailored dissemination communication and exploitation strategy and impact assessment plans will create the appropriate ecosystem for the effective transfer of knowledge among stakeholders in the 27 eu members based on previous key related multiactor projects eu4advice will apply the gain transition model to guide the successful implementation of the multiactor network through different administrative levels local regional national and european eu4advice will establish appropriate channels for collaboration and knowledge exchange among a selected group of multiactor projects thematic networks and focus groups at eu level to ensure a long term impact
support and coordination of the european technology and innovation platform on wind energy etipwind and the setplan implementation working group on offshore wind iwg ow

the eu has committed to becoming the first climate neutral continent by 2050 and counts on wind energy to become the backbone of a sustainable and reliable european energy system the european commission expects wind energy to meet 30 of electricity demand by 2030 and 50 by 2050 from 16 today to deliver on these ambitions the eu will need clear guidance on the wind energy research innovation challenges and how to address them by 2030 and 2050 etipwind was established in 2016 by windeurope with the support from the european commission to bring stakeholders together to inform policymaking on the priority areas of research innovation that will contribute to meet the eus climate and energy goals this project setipwind will strengthen the activities of the european technology and innovation platform on wind energy etipwind and the set plan implementation working group on offshore wind iwg ow so they continue providing guidance on ri through clearly formulated recommendations in a timely fashion it will also foster cohesion and knowledge sharing among all energy research stakeholders to ensure robust implementation of the eus setplan implementation plans the project will achieve these objectives by establishing a joint secretariat for both etipwind and the iwg ow that closely coordinates their activities creating a joint work programme centred on eu energy and ri policysetting milestones and offering more opportunities for stakeholder experts to come together and provide their feedback on the policymaking processes the project will also connect the etipwind and iwg ow more closely with the other etips and set plan stakeholder groups and develop joint positions reports and dissemination activities