Dragon09/odtu_chatbot huggingface dataset:
metropolises in the mud innovation in delta building technology in europe and china in the preindustrial age

deltas are among the most urbanised and wealthiest regions of the world today their very existence is threatened by climate change innovative solutions are urgently needed and delta cities around the globe have joined forces to confront the climate crisis the dependence on innovation for their survival is however not a recent phenomenon but has a longer history surprisingly little is known about the specialised skills and knowledge shown by earlier civilisations in constructing and protecting these citiesurbandelta hypothesizes that major advances in the history of waterrelated engineering were not random but occurred at specific places and times several pioneering hotspots in the preindustrial age seem to have existed therefore the aim of urbandelta is to attain an entirely new multidisciplinary understanding of technological innovations by tracing and explaining their historical emergence in the production of the built environment in eurasian deltas before 1800this project is the first indepth comparative study of construction techniques for marshy conditions it examines three key deltas in europe and china and questions how builders overcame technological limitations did innovation occur incrementally or were there spurts at specific times and places what were the dynamics of these processes and what factors stimulated innovationurbandeltas methodological innovation is to study the built environment from a comparative perspective combining approaches from engineering economic and architectural history it tests hypotheses central to the debate on the conditions for innovation by looking at a vital industry hitherto ignored in scholarship this will result in a fundamental rethinking of how architecture comes into being and provides an entirely new explanatory framework for future research in addition it generates new knowledge that is urgently needed for the preservation of heritage threatened by climate change
profiling nmda receptor in schizophrenia and predicting clinical trajectories from rseeg using dynamic causal modelling

the richness of chemical signalling in the brain supports the flexible neural dynamics required for adaptive behaviour the nmda receptor one of the most ubiquitous receptors in the brain controls synaptic plasticity and mediates learning and memory formation its dysfunction is theorised to be one of the mechanisms of schizophrenia profiling the changes and dysfunctions of ion channel receptors can elucidate the biological substrate of functional brain impairments and facilitate individual patients personalised treatment strategies the aims of this project are twofold methodologicaldeveloping a robust and translational dynamic causal model able to profile nmdar dynamicsand clinicalstudying nmdar dysfunctions and their trajectory within a longitudinal study of a large cohort of schizophrenic patients the nmdar dcm will first be developed and validated on animal data with a high signaltonoise ratio the groundtruth dataset comes from a repeated measures study with one of the measurements involving a pharmacological intervention using an nmdar blocker next the model will be translated to human rseeg data with the same withinsubject design finally the validated nmdar dcm will be applied to schizophrenic patients the prospective design of the study will allow for the assessment of the predictive power of generative embedding for individual patients clinical trajectories this approach might help clinicians predict clinical outcomes and tailor treatments to individual patients we plan to disseminate the projects results through two main channels peerreviewed publications of both methodological and clinical advancements and by sharing the relevant source code for the analyses including the envisioned additions to the tapas package thereby fostering replicability reproducibility and rapid distribution within the community ultimately this project aims to help establish computational assays as a standard procedure in clinical practice
european partnership on innovative smes

who the proposal involves 40 national funding authorities andor agencies under the umbrella of eureka and is coordinated by the eureka secretariat in brussels founded in 1985 eureka is a global network with 48 member states plus the european commission it includes nearly all countries of the european continent as well as international members like israel turkey korea canada singapore south africa argentina and chile the consortium also benefits from the fact that is has successfully run the eurostars 1 and 2 programswhat the proposed european partnership on innovative smes will comprise two main instruments eurostars 3 and innowwide as well as measures to connect to existing eu programs initiatives and other european partnerships eurostars 3 e3 is an instrument that supports the international cooperation of smes in the field of nonmilitary collaborative innovation projects an e3 project consortium must be composed of at least 2 independent entities from at least two participating countries and must be led by an innovative sme the e3 instrument benefits from accompanying measures that strengthen smes ability to access foreign markets like the innowwide instrument which has already been piloted with the support of some eureka network members in recent years why the biggest challenges for innovative smes are the access to international cooperation and to enter international markets as well the ability to receive funding e3 through its coordination of national innovation programs will in addition support the further development of a european research areahow the eureka secretariat will organize two joint transnational calls per year for e3 and one call per year for innowwide national innovation agencies actively support the implementation of e3 via national funding and support measures as well as services to applicants and promotion of the program
advanced computing quantum algorithms and datadriven approaches for science technology and engineering

the joint doctoral project advanced computing quantum algorithms and datadriven approaches for science technology and engineering aqtivate will deliver an interdisciplinary training program for fifteen fellows who will learn to utilise high performance computing develop scalable algorithms and machine learning approaches and explore quantum computing for research projects from physics engineering and biology aqtivate engages nine degree awarding institutions dais and four major research centres including four national supercomputing centres in cyprus germany italy and sweden one nondegree highereducational institution five companies as associated partners nvidia participating through its research labs at two supercomputing centres and ibm to join as a future associate partner aqtivate will deliver joint degrees between at least two daisthe training program and the research projects of the fellows are designed to be interdisciplinary and they all include a placement in industry andor supercomputing center exposing the fellows to different training and work settings by integrating interdisciplinary methodologies and engaging leading experts from different fields across europe aqtivate aims to deliver an innovative doctoral program that goes beyond what can be delivered by a standard university curriculum this combination of formal and handson training coupled with an exposure to different training environments aspires to produce graduates with excellent career prospects both in academia and industry and who will be ideally positioned to develop disruptive approaches in their respective scientific fields aqtivate responds to the advancements and investments in supercomputing infrastructure and quantum computing systems and the need for developing new algorithms and software delivering the much needed human capital that is essential to ensure europes leadership in exploiting digital technologies for research and innovation
loveability as the fresh interdisciplinary approach to enrich the quality of living experiences in european cities through creative cultural spaces

my project investigates the phenomenon of loveability and the capacity of creative cultural spaces to facilitate it by comparing six museumgalleryexhibition spaces in vienna austria and barcelona spain timely in addressing paradoxical impacts of rapid urbanisation and pandemicdriven urban exodus in european cities my research aims to advance i loveability which goes beyond material dimensions by prioritising minds and souls as a design principle for spaces to support high quality living experiences and ii creative cultural spaces in supporting loveability to facilitate positive inner wellbeing of people living in cities through targeted research on aesthetics the goal is to contribute ways of enriching living experiences in major european cities for transformational impact on science society and economy by producing three research outputs monograph matrix and handbook six research activities thinking knowing feeling doing making and sharing bind architecture neuroaesthetics and human geography in my interdisciplinary 24month project i dr mizan rambhoros will use existing specialisations in architectural design and theory and gain new skills in psychologicalempirical aesthetics under placement supervision asst prof matthew pelowski university of vienna austria and geocreativitycreative landscapes under secondment supervision adj prof rosa cerarols ramirez universitat pompeu fabra barcelona spain
boosting resilience in five industrial ecosystems through adoption and deployment of advanced technologies among smes

the european commission introduced the concept of industry 50 in 2021 shifting from the technologydriven approach of industry 40 to a humancentric approach that prioritizes human needs and interests in production processes the need for this new paradigm was emphasized by major disruptions such as the covid19 pandemic and ongoing conflicts which revealed low resilience in industrial ecosystems in europe small and mediumsized enterprises smes are facing challenges such as climate change resource scarcity demographic changes and skills gaps that further disrupt their operations the aftermath of the pandemic has forced businesses to rethink their operations and adapt their business models to ensure continuity in this context the bridgesmes project aims to assist european smes in five industrial ecosystems mobility transport automotive
connecting investment ecosystems by strengthening transparency and inclusion

coinvestin focuses on creating crossborder coinvestment opportunities for modest and moderate eu ecosystems by leveraging promising startups in the portfolio of local investors to attract foreign investors from more advanced ecosystems in their new rounds to achieve that the partners will pilot the approach in 4 emerging ecosystems el bg ro pt where the consortium partners have a strong footprint and progressively integrate at least 10 additional emerging moderate ecosystems by the end of the project the project focuses on the funding gap around the series a very acute in these ecosystems both from the lack of capital and investors perspective as well as in terms of deal size with respect to more advanced ecosystems as demonstrated by the recent experience with the eic fund identifying a lead investor and coinvestors is a challenging task for deeptech startups in particular the ones from emerging ecosystemsthe coinvestin approach relies on 4 main dimensions that cover in a complete manner both the analytic and the action oriented dimensions of the approach 1 investment gap analysis 2 development of market orientation programmes 3 stimulating crossborder investments and 4 upscaling the framework and enhancing its impactsthe main project results includeat least 5 working groups to foster the creation of structured and coordinated networksat least 20 peer investor matchmaking sessionsestablishment of local cpi and activation of the assistance service for foreign investorsmarket orientation programmes for european investors with emphasis on women for at least 10 ecosystems5 networking review sessions vc syndication to encourage joint ventures cooperation with innovation agencies2 international business forums conferences to attract and connect investorsparticular focus will be placed on fostering the increased participation of women in both the entrepreneurial endeavours as well as investment landscape
discovery of a novel phenylalanine degradation pathway in plants

plants are anticipated to be a more sustainable platform for chemical production than fossilfuelbased chemical production as plants can produce various natural products using co2 as a solo carbon source in plants phenylalanine phe is an aromatic amino acid that acts as precursors of numerous phederived specialized metabolites many of which are utilized for nutritional pharmaceutical and biomaterial uses in our society whereas plants produce a large amount of phe to produce such abundant phe derivatives phe itself is so toxic and must be somehow safely detoxified to balance its biosynthesis and degradation despite a growing body of knowledge on phe biosynthesis however little is known about phe degradation because a plant phe degradation pathway has not been discovered unlike the wellcharacterized phe degradation in animals this knowledge gap has been a longterm mystery in the plant metabolism research field for decades making plantbased chemical production for phederived natural products difficult on a commercial scale the applicant has studied the biosynthesis of phe in plants and found a piece of evidence for a putative phe degradation pathway in arabidopsis combining biochemistry and plant genetics with startofart metabolomics this proposal will aim to identify enzymes mediating a novel phe degradation pathway and elucidate the roles of phe degradation in plant metabolism these potential findings will uncover the unique plant phe degradation that has never been described in animals and accelerate the development of plantbased chemical production for phederived highvalue chemicals
6g transcontinental edge learning

artificial intelligence ai is widely studied and finding increasing adoption across communication technologies spanning network layers and business ecosystems it is anticipated to play a central role in the design and operation of future 6g networks despite the promise of ai there remain many obstacles to its use in communication networks the introduction of software defined elements such as radio access network ran intelligent controllers ric enables multiparty applications for the control and management of networks however ai functions are still nascent and such structures do not extend to optical networks or multicontroller environments 6gxcel seeks to address these challenges through research on high edge network use cases that employ multiparty ai controls running over compute accelerators to coordinate control across radio and optical networks it will develop a reference framework for ai in 6g that will pave the way towards global validation adoption and standardisation of ai approaches this framework will enable decentralised aibased network controls across network domains and physical layers while promoting security and sustainable implementations using the latest ai algorithms and data compression research on the resulting decentralised multiparty multinetwork ai dmmai framework will enable the development of reference use cases data and model repositories curated training and evaluation data as well as technologies for its use as a benchmarking platform for future aiml solutions for 6g networks6gxcel will bring together a large ecosystem of researchers from the eu and us to implement elements of the dmmai framework in their testbeds and labs integrating it into their research programs and validating the framework across platforms working with standardisation groups within each jurisdiction 6gxcel will achieve joint progress towards large scale application of ai in 6g networks
nanoscale dynamics of volcanic processes experimental insights and numerical simulations of explosive eruptions

volcanism is virtually ubiquitous in space and time across the universe its explosive expression impacts planetary evolution life and history on earth the brittle molecular failure of magma is central to trigger explosive eruptions and yet its occurrence is elusive to usthe mechanistic understanding of magma dynamics combined with monitoring activities form the basis for forecasting eruptions this is central for modelling the impact on volcanic eruptions and determining the risk scenario in populated areas and along flight routes a lack of understanding of magma failure thus hampers our ability to study the local and global impact of volcanism it is only in the last years that nanosized crystals nanolites have been exponentially identified in products of explosive eruptions pioneering experiments and in situ observations of magmas dynamics i showed that nanolite formation can occur within seconds and has the potential to set the conditions for brittle magma fragmentation it is time to observe in situ under volcanic conditions the formation of nanolites and unravel their role in triggering explosive eruptions this cuttingedge approach requires interdisciplinary research combined with technological advances through nanovolc i will integrate earth sciences with materials science and artificial intelligence to lift the veil on the process of nanolite formation and its role in magma failure i will deliver a numerical model of magma ascent and eruption to forecast and quantify the impacts of explosive eruptions to this end i will i perform in situ observations of nanolite formation in magmas ii build a unique magma fragmentation apparatus that will push the experimental boundaries explored so far and iii use artificial intelligence to support numerical model of nonlinear volcanic processes beyond volcanology nanovolc will provide fundamental understanding of nanocrystal formation in technical glasses relevant to glassceramic industry
structures in ionized models of dusty protoplanetary disks

understanding how planets form in disks around young stars is a fundamental part of astrophysical research with the advent of the atacama large submillimeter array alma and other largescale telescopes and interferometers the field of planet formation has been transformed by the stunningly complex structures observed in disks around young stars in the solar neighborhood but at the same time theoretical models have struggled to explain these observations in part because many physical processes are investigated individuallytherefore a more comprehensive model of protoplanetary disks is needed with the simplydisks project i will perform the first global 3d magnetohydrodynamic simulations that treat the interaction of dust gas and magnetic fields within protoplanetary disks selfconsistently the simulations will focus on the outer regions of the protoplanetary disk where ambipolar diffusion suppresses the development of the mri and where the vertical shear instability is active in the midplane regions the selfconsistent treatment will be achieved through the development of an extended ambipolar diffusion module with these models i will be able to 1 analyze magnetic and pure hydrodynamic processes occurring in protoplanetary disks in context and unveil if they are the driving forces behind the observed structures and 2 find locations of dust concentration that survive long enough to trigger the formation of planets together with observations the results from these selfconsistent models will help us understand where and how planets form and thus why our solar system looks different from many systems observed around other stars
o social groups where art thou a crossnational and longitudinal analysis of the place of social groups at the core of the partyvoter representative linkage

the partyvoter representative linkage is central to modern democracies because political parties once in office steer fiscal and social policies the social groups they claim to represent in their group appeals matter for distributing tangible public goods and specially the equitable treatment of minority groups by the government while many party politics studies are devoted to parties policy appeals and their role in political representation group appeals have received little attention thus far leaving a theoretical and empirical gap recent studies begin to address this oversight but these works are still few and limited in scope using either longitudinal singlecountry data or crossnational timelimited data combining insights from political communication and computational linguistics gaprep will build a new software library sl for the computational analysis of political texts r package the sl will then be used to analyse group appeals in more than 950 election manifestos in belgium denmark france germany netherlands norway sweden and the uk between 19492022 building a new and publicly available dataset together with crossnational historical survey data on voters demographics and party preferences from the 1980s onwards given available data advanced statistical modelling will reveal how representative of social groups parties have been over the past 40 years pushing scholarship on the partyvoter linkage still further the project will also use a unique vignette survey experiment to study the underlying mechanism of this linkage by examining voters reactions to parties group appeals combining these efforts findings will illuminate social groups access to power and social and political equality offering a new perspective on the partyvoter linkage the project aims to positively contribute to voters contemporary low levels of political trust which is central to the healthy functioning of modern liberal democracies
regenerative bone implant for the treatment of hip dysplasia

grip develops a personalised 3dprinted regenerative bone implant as a treatment for hip instability hip dysplasia and its commercialisation strategy osteoarthritis oa of the hip is a painful and debilitating condition and hip dysplasia is one of the two main causes the currently most common surgical methods to correct the dysplasia involve the realignment of the hip socket osteotomy or the insertion of a bone graft to enlarge the socket shelf arthroplasty while the osteotomy is invasive the shelf arthroplasty requires donor tissue in addition both procedures only have limited success rates grip implants overcome the current shortcomings of these methods and provide a novel personalized implant to treat hip dysplasia grip will provide patients and surgeons with an easy to use onestep and costeffective regenerative device therefore overcoming the significant drawbacks with current treatments for hip dysplasia the grip implants will be precisely fabricated from a flexible boneinducing biomaterial through a process both developed and established within the erccog 3djoint project this will ensure a perfect fit resulting in optimal integration and durable restoration of the hip socket as well as obviating the need for complex and invasive osteotomy surgeries grip implants will revolutionise the treatment of hip dysplasia as they provide a stable longterm and regenerative solution that will fully integrate with the host bone tissue moreover the regenerative nature will also make this a potential treatment option for younger paediatric patients as grip will transform the treatment of hip dysplasia and will improve longterm health and wellbeing of both human and veterinary patients the economic value and the route to the market for the grip technologies will be explored