Dragon09/odtu_chatbot huggingface dataset:
microscale enabled advanced flow and heat transfer technologies featuring high performance and low power consumption

with the emergence of industry 40 electronic and digital devices are incorporated into almost all high tech applications there has also been a notable shift towards compact electronic devices which requires more intense operating powers leading to enormous heat dissipation thus whilst devices are increasingly becoming portable and powerful thermal management techniques are arguably not catching up at the same rate hence continuous improvement and innovative approaches are needed in this regard microchannelbased techniques present innovative possibilities to tackle thermal management and cooling issues in modern appliances across various industries aligning with the trend to adopt more sustainable approaches and the eu 2016 legislation for heating and cooling consequently our microflotec project adapts an international multidisciplinary and collaborative approach to exchange expertise from 17 research institutions and two industrial partners to trigger significant advancements and agile development for heat transfer and thermal management solutions the consortium shares robust experience and skills related to heat transfer enhancement largescale electrical energy storage via thermal processes new generation materials science multiphase flow flow and heat transfer of hightemperature rotating parts design and modelling for energyefficient control systems marketing and entrepreneurship skills amongst others based on the appraisal of the current stateoftheart literature and technologies we aim to tackle problems within morphological optimization of multiphase heat transfer performance and flow resistance reduction surface modification techniques and application of multiphase physics for performance prompting our project will hopefully achieve costeffective and sustainable solutions initiate future advancements and investigations and contribute towards the eus 2050 longterm strategy for climate and energy saving goals
bios the biointelligent dbtl cycle a key enabler catalysing the industrial transformation towards sustainable biomanufacturing

the usage of fossil resources leading to increasing atmospheric co2 levels and global climate change should be rapidly replaced by implementing a circular economy circular bioeconomy converting sustainable substrates in moderately operating bioprocesses offers a plenitude of solutions while synthetic biology provides a multitude of tools for strain engineering their rapid use in hosts for optimal performance under industrial conditions is still challenging promising innovations are often trapped in the valleyofdeath as strain engineering faces a too complex space of putative manipulations novel approaches are needed to increase speed and success rate of strain and bioprocess engineering the biointelligent approach rigorously applied in bios aims to accelerate and improve the conventional designbuildtestlearn dbtl cycle for strain and bioprocess engineering interdisciplinary collaboration will bridge microbiology molecular biology biochemical engineering with informatics automation engineering and mechanical engineering novel innovative metrics biosensors and bioactuators are developed for bidirectionally communication at biologicaltechnical interfaces digital twins are created mimicking cellular and process levels integrating ai not only improves prediction quality but also enables hybrid learning the key reason to increase speed and success rate in the novel biointelligent dbtl cycle bidbtl the power of bidbtl will be showcased by creating p putida producer strains for terpenes polyolefines and methylacrylate all are highly attractive products with a high potential for reducing anthropogenic greenhouse footprint bios will open the door to a decentralized networked collaboration for strain and process engineering that efficiently links individual expertise for the sake of a symbiotic and rapid progress bios also paves the way to decentralized biomanufacturing by implementing autonomous selfcontrolled bioprocesses
dynamic control of gaussian morphing structures via embedded fluidic networks

transforming a flat plate into a doubly curved shell is not possible without distorting inplane distances as stated by gauss in his seminal theorem in natural morphogenesis this strong geometrical constraint is overcome by differential growth in the tissues which induces mechanical stresses and thus the buckling in a rich variety of shapes over the last decade emerging approaches have embraced this paradigm to develop bioinspired synthetic responsive materials with inplane distortions and hence shapemorphing capabilities however despite rapid developments current efforts primarily focus on programming the final equilibrium shape overseeing the dynamical trajectory of the transformation but also the mechanics of the morphed structure as a result exciting biomedical applications perspective in minimally invasive surgery rehabilitation and soft robotics remain so far elusivehere i aim to develop structures in which the shape but also the mechanics and the dynamical deformation trajectory may be programmed in time to do so i propose to develop hybrid elastic plates embedding a network of fluidfilled cavities first i will generalise design principles to create unit cells that dispose of all six deformation modes both inplane and outofplane when pressurized assembling such cells will enable univocal shape selection but also internal degrees of freedom to control the frustrated mechanics then i will unravel the coupling between fluid viscosity and cavity geometry to spatially control the homogenized viscoelastic property of the material the subsequent timescales will be finally used to program the dynamical deformation trajectory of the structure when submitted to a mechanical or fluidic loadtaken together i propose to develop new experimental standards and theoretical frameworks to pave the way for the first fully controllable shapemorphing materials with applications for adaptive peristaltic endotracheal cuffs in view
amenable cdynamics and their classification

our understanding of amenable calgebras has drastically improved over the past decade due to substantial advances in the elliott classification program the proposed research is intended to spearhead the classification and structure theory for cdynamics which encompasses groups acting continuously on calgebras and the question to which extent their detailed structure is encoded at the level of computable invariants the objectives involve the following lines of investigation the case of discrete groups acting on simple amenable calgebras the latter of which have become accessible due to recent methodological breakthroughs within elliotts program the task is to develop a dynamical version of elliotts program ie to consider natural categories of such group actions identify functorial invariants such as ktheory and traces and show that these invariants completely classify a naturally occuring category up to a suitable notion of isomorphism the theory of invariants for noncommutative cdynamics this field is faced with numerous open problems requiring solutions before a fully general classification theory can be developed this part of the project addresses the need for effective computational methods for equivariant kasparov classes or systematic techniques to exploit equivariant exttheory for the purpose of classification the case of noncommutative time evolutions which includes new rigidity phenomena for the passage of time in simple calgebras both with and without the presence of equilibrium statesa deeply rooted theme within all these objectives is the presence of amenability for the actions and the calgebras which gives rise to radically new phenomena in the context of nonamenable acting groups drawing ideas from diverse areas such as the elliott program equivariant kasparov theory classical and noncommutative ergodic theory novel methods are proposed to achieve groundbreaking results in the area of cdynamics
research and innovation strategy for lviv polytechnic national university dedicated to whiteemitting organic lighting systems

helios aims to elevate the scientific excellence and innovation capability of lviv polytechnic national university lpnu and its esteemed twinning partners kauno technologijos universitetas university of glasgow rgas tehnisk universitte and intelligentsia consultants sarl their research component target is the creation of whiteemitting organic systems for lighting over three years they will follow a research and innovation strategy spread across five core objectives and eight work packages objective 1 focuses on exploratory research to design ultraefficient singlemolecular white emitters for woleds and wleds aiming for a significant breakthrough in solidstate lighting costperformance objective 2 centers on knowledge transfer between experienced researchers from lpnu and its twinning partners activities will involve staff exchanges trainings and seminars to reinforce the research from objective 1 objective 3 aims to boost career opportunities for earlystage researchers of both lpnu and the twinning partners methods will include short to medium exchanges training workshops summer schools and a shared phd programme objective 4 is geared towards refining lpnus project management skills specifically in proposal drafting and managing european rd funding projects objective 5 is committed to elevating the research stature of lpnu and its twinning partners they intend to achieve this via widespread dissemination communication and outreach initiatives
advancing uavs technology to enable monitoring for a sustainable environment

unmanned aerial vehicles uavs are emerging as powerful tools for sustainable environmental monitoring playing a vital role in comprehending the diverse effects of climate change on ecosystems the integration of state of the art techniques such as artificial intelligence ai with uav technology has introduced innovative pathways for various environmental applications however their full potential remains to be explored accelerate proposes the development of a fertile interdiscipline and intersectoral ecosystem that aims to radically contribute towards enhancing uav technology to enable the sustainable environmental management the specific objectives of the project are to a create a continuously updated ecosystem with uav datasets suitable for environmental studies and climate change impact assessment b promote methodological advances in the field of uavs technology by exploiting the unique capabilities of those data with stateoftheart techniques and c establish clear guidelines and homogenized protocols for the characterization of the exploitation of uavs in specific application domains experimental analysis will also be carried to showcase the practical use of the project outputs via four carefully selected and innovative use cases that will serve as key performance indicators of the project accelerate brings together enthusiastic staff from academia and industry via a series of carefullydesigned secondments establishing a unique fertile collaborative research and innovation environment to promote pioneering research in environmental and socioeconomic studies implementation within urban natural and agricultural environments a strong intersectoral experienced research team of 17 partners from 9 countries of 9 academic and 8 industrial partners coming from greece 2 romania 3 italy 2 cyprus 1 united kingdom 5 north macedonia 1 france 1 germany 1 and portugal 1 constitute the projects consortium
transcranial photobiomodulation for motion sickness mitigation

cyber and motion sickness are debilitating for many people limiting both travel opportunities and the use of new technologies such as virtual and augmented reality these forms of sickness are due to nauseogenic sensory mismatch nsm cybersickness affects up to 50 of people use who ar and vr headsets motion sickness affects 30 of travellers in all forms of transport with even more getting sick if they use ar or vr as a passenger to mitigate the effects of nsm the photomod project will demonstrate the efficacy of a novel transcranial photobiomodulation tpbm technique using nearinfrared light this is delivered by leds on the scalp shining invisible light into the brain focused on the human vestibular network hvn to create neural entrainmentour novel method extends work on the erc viajero project which used transcranial alternating current stimulation to create entrainment in the hvn we use this to synchronize the phase information of endogenous neural oscillations associated with nsm in the hvn to an external phase stimulus generated by tacs which mirrors healthy phase information we have found very significant benefits for nsm with this method however tacs has many drawbacks for commercial application tpbm overcomes all of these as it is more precise safer more comfortable and cheaper in photomod we will develop new hardware and software to deliver tpbm in a commercial form then test it as a mitigation for cybersickness at home and for motion sickness on the road the final result will be a commercialisable wearable system that can mitigate the effects of cyber and motion sickness across a wide area of applications
optimal power conversion and energy storage system for safe and reliable urban air mobility

the research proposal addresses the design challenges in the power conversion and the energy storage systems in the electric aircraft used for urban air mobility uam the success of uam as an alternate transportation system is strongly dependent on designing the overall system to be safe efficient and reliable this proposal focuses on improving the power conversion efficiency and designing a smart wireless battery management system bms with accurate battery stateofcharge soc and stateofhealth soh estimations another desirable aspect in the uam aircraft is improving the overall payload capacity which is impacted by the weight of the batteries interconnection wiring and power conversion efficiency the proposal aims to improve it by increasing the voltage of the liion battery packs above the current stateoftheart which would reduce the current rating and cable weight while identifying a power converter topology to maximize the overall efficiency the design optimisation will consider the impacts of higher insulation requirement with higher voltages and overall cost the power converter topology and the accompanying filters are optimised to reduce electromagnetic interference that can affect the sensitive electronics on the aircraft the proposal explores datadriven machinelearning based methods to improve the accuracy of the soc and soh estimations and reduce the gap between peak error and the rootmeansquare error rmse a reduction in the gap between peak and rmse will provide a reliable upper bound unlike for the case when estimation methods show a lower rmse but a wide variation in the peak error the wireless bms will provide the advantage of easier maintenance and elimination of the conventional wiring weightthis is a timely and innovative project that will help in novel technology development for uam industry it will help the applicant gain additional technical and managerial skills that would ensure a successful research career
rural landscape heritage and carbon sequestration

with the ongoing climate emergency and nations commitments to meet netzero carbon emissions by 2050 there is a heightened need to contrast climate change through sustainable landuse lu strategies agroforestry af has existed since ancient times in european countries and it has been recognised as one of the most beneficial rural lu systems the rhecast rural landscape heritage and carbon sequestration project aims to develop a new interdisciplinary approach to investigate the interactions between sustainability and rural landscape heritage with particular reference to co2 sequestration over the long term the project will take an interdisciplinary approach that combines landscape archaeology hlc historical landscape characterisation computerbased modelling msd multisector dynamics and archaeological soil geochemistry asg and it will focus on one of the main european hot spots of atmospheric pollution the po venetian plain pvp italy the main project innovation will be to develop an msd model using hlc data to determine which would be the effect on climate change mitigation by recasting the current pvps industrial agriculture with historical af asg will be essential to constrain the msd model results leading to significatively more precise outcomes of past and potential future co2 sequestration thus the rhecast project aims at modelling co2 sequestration rate of historical af to inform sustainable landscape management plans that will maximise climate change mitigation whilst preserving the regional cultural identity by applying a range of innovative and interdisciplinary techniques the project will be able to develop a model that could be potentially extended in other european regions with similar historical and environmental characteristics eg dehesa spain montado portugal pluiny czech republic streuobst germany
humancentred generative ai framework for cultural industries digital transition

humancentred generative ai framework for cultural industries digital transition hamlet aims to democratize access to generative ai in europes cultural and creative industries ccis its mission is to make generative ai benefits accessible to entities of all sizes in order to foster a sustainable digital transition the strategy involves integrating a digital collaboration platform the hamlet collaborative community hub enabling entities across different sectors to pool investments share facilities exchange competencies and employ shared investment and profitsbased collaboration models in parallel hamlet produces 7 diverse ai enablers for ccis as demonstrators of the framework which streamline the creative process these enablers are designed to be integrative promoting collaboration by facilitating seamless interactions and project cocreation among various cci stakeholders by intertwining these two core components hamlet not only provides the technological infrastructure necessary for embracing digital transformation but also cultivates an ecosystem where collaboration and shared success are the norms moreover hamlet is committed to exploring and researching novel business models including mechanisms for profit sharing and equitable distribution of benefits derived from collaborative efforts aiming to lower barriers to ai adoption and to establish sustainable frameworks that incentivize shared success and innovation this cohesive approach ensures that barriers to adopting ai technologies are significantly lowered enabling a more inclusive and dynamic creative sector that is equipped to navigate the complexities of the digital age through hamlet smaller actors of the european ccis are empowered to explore new horizons of creativity and innovation solidifying europes position as a global leader in cultural and creative excellence hamlet will be tested through 4 pilot cases involving different cci sectors across 4 countries in europe
training young researchers on shaping metaverse for business and social value agora

as metaverses operate in realtime their wide adoption is expected to create digital public spaces for interaction in which the already possible online interactions are intensified and blended with the physical world as never before to lead in this field and maximize positive implications europe needs to ensure that new multidimensional challenges arising are addressed in accordance with european values agora responds to the lack of doctoral programs which go beyond the technical understanding of metaverses and consider its business and social value while unpacking and addressing potential unintended consequences through a rigorous and robust research and training programme agora aims to develop a critical research and talent base capable of leading by example agoras approach is to train the researchers not only to understand metaverses infrastructure but also to understand and oscillate between the different levels of metaverses business and societal value paving in this way a more integrated understanding of this disruptive ecosystem combining theoretical and handson industrial research and transferable skills training will enable researchers to target highquality publication outlets and to become creative and autonomous so that they can exploit and commercialize research results and become competitive in the global arena one of agoras unique selling points is its ability to prepare the esrs to work in any of the three pathways academia industry policy making as well as their intersections agoras intersectoral network brings together leading academic and nonacademic cosupervision arrangements of high quality stimulates the development of new industrial doctoral training procedures between top business schools and industries in the region
intersectional exile irishiberian identities and the comparative translation of diaspora 15921642

this public and digital humanities project will carry out cuttingedge research on identity formation at the dawn of the modern nation state in 1492 after defeating the last stronghold of the moors in granada the spanish monarchy consolidated its power through a series of religious and political reforms this not only led to a harrowing century of exile for jewish and islamic populations but also a time of refuge for irish catholics fleeing from the cultural oppression of english expansion in each case they used multilingual writing to maintain a sense of community in societies fuelled by the paranoia of religious and ethnic purity their records thus offer insight into the formative relations between language identity and historical discrimination yet the materials left by irishiberian exiles often remain little known even among scholarsintersectional exile will address this gap by researching translating and publicly presenting a selection of early modern materials from the salamanca archive a rarely studied collection of perspectives written in spanish by irishiberian exiles the msca fellowship will make this possible through key access to the current location of the salamanca archive at the national university of ireland maynooth hereafter nuim and contextual materials in its original location at the universidad de salamanca hereafter usal when combined with the professional guidance of prof valerie heffernan nuim mentor as well as rare irishiberian expertise of scholars like prof thomas oconnor further nuim support and prof javier burguillo usal secondment mentor the project will add vital nuance to scholarly theories and histories of intersectionality in doing so the experienced researcher hereafter er dr laura francis will also address the council of europes urgent call to understand the roots of current migration biases and face past injustices through memorialisation and education