Dragon09/odtu_chatbot huggingface dataset:
computational modelling of tangible objects on multisensory interfaces

current interactive systems provide realistic audiovisual feedback while haptic feedback is limited even though haptic interactions with devices are essential and touch plays a large role to convey immersive sensations thus usable highfidelity haptic rendering has the potential to improve interactions with interactive interfaces and future metaverses knowledge has started emerging on haptic rendering and multisensory perception of tangible objects still combining multiple techniques to stimulate the full bandwidth of tactile sensitivity remains a hard challenge and little is known about the perceptual integration of tactile cues such as friction temperature or vibrations thus there is the intricate twofold challenge of developing new haptic techniques based on models of cognitive multisensory integration whose investigation requires advanced stimulation techniques thus the originality of tango is to address the problem of multisensory rendering of tangible objects from a holistic view by considering simultaneously multidimensional haptic techniques tactile acuity across its psychophysical dimensions and mechanisms of multisensory integration specifically tango aims to 1 characterize typical gestures and contact mechanics during interaction with real objects 2 understand how gestures and the dimension of haptic feedback influence perception of simulated tactile objects 3 create a computational model of multisensory integration that outputs perceived realism during interaction with objects studies will also consider two main population factors age and sensory impairment finally the outcome from 13 will serve to design sensorily rich tangible 3d elements on displays in virtual reality and on maps for visually impaired by a strongly interdisciplinary approach combining haptics computer science and neuroscience tango will optimize haptic rendering in multisensory interactive interfaces to enhance its use in humancomputer interactions
digital twins for understanding forest disturbances and recovery from space

forests worldwide are undergoing largescale and unprecedented changes in terms of structure and species composition due to anthropogenic disturbances climate change and other global change drivers climate disturbances and forest structure are all closely linked changes in climate can lead directly to physical changes in forest structure and vice versa or to an anticipated increase in forest disturbances however it is still uncertain how forest structure is impacted by disturbances locally and how we can detect and monitor various levels of disturbance regimes using spaceborne satellite data globallythis project will focus on the impact of drought fire and logging disturbances across a range of tropical and temperate forest ecosystems it will lead to a stepchange in our ability to observe quantify and understand forest disturbances and recovery by using time series of the most detailed structural and radiometric 3d forest models ever built digital twin forests the key innovations will be 1 the establishment of an unprecedented 4d dataset across 57 disturbed sites using terrestrial laser scanning 11500 individual trees 2 the development of next generation methods to enable big data science of forest point clouds 3 the identification of key axes of variation of disturbed tree and forest structure 4 the first ever implementation of digital twins for optical and microwave radiative transfer modelling 5 the nearreal time inversion of remote sensing of forest disturbances using emulation and 6 the embedding of forest structure in the global observation process to understand the uncertainties in monitoring disturbancesthese innovations will open a realm of untapped research questions and applications that call for the most detailed 3d information on canopy structure possible these insights are also urgently needed to reduce uncertainties and advance the forecasting of carbon stocks and dynamics within the context of the ipcc
medical image analysis with normative machine learning

as one of the most important aspects of diagnosis treatment planning treatment delivery and followup medical imaging provides an unmatched ability to identify disease with high accuracy as a result of its success referrals for imaging examinations have increased significantly however medical imaging depends on interpretation by highly specialised clinical experts and is thus rarely available at the frontlineofcare for patient triage or for frequent followups very often excluding certain conditions or confirming physiological normality would be essential at many stages of the patient journey to streamline referrals and relieve pressure on human experts who have limited capacity hence there is a strong need for increased imaging with automated diagnostic support for clinicians healthcare professionals and caregiversmachine learning is expected to be an algorithmic panacea for diagnostic automation however despite significant advances such as deep learning with notable impact on realworld applications robust confirmation of normality is still an unsolved problem which cannot be addressed with established approaches like clinical experts machines should also be able to verify the absence of pathology by contrasting new images with their knowledge about healthy anatomy and expected physiological variability thus the aim of this proposal is to develop normative representation learning as a new machine learning paradigm for medical imaging providing patientspecific computational tools for robust confirmation of normality image quality control health screening and prevention of disease before onset we will do this by developing novel deep learning approaches that can learn without manual labels from healthy patient data only applicable to crosssectional sequential and multimodal data resulting models will be able to extract clinically useful and actionable information as early and frequent as possible during patient journeys
hydrogen combustion in aero engines

to reduce climate impact of aviation decarbonisation is a major challenge current combustion chambers are burning hydrocarbon fuels such as kerosene or more recently emerging saf products hydrogen is also considered today as a promising energy carrier but the burning of hydrogen creates radically new challenges which need to be understood and anticipated hestia specifically focuses on increasing the scientific knowledge of the hydrogenair combustion of future hydrogen fuelled aeroengines the related physical phenomena will be evaluated through the execution of fundamental experiments this experimental work will be closely coupled to numerical activities which will adapt or develop models and progressively increase their maturity so that they can be integrated into industrial cfd codes different challenges are to be addressed in hestia project in a wide range of topics improvement of the scientific understanding of hydrogenair turbulent combustion preferential diffusion of hydrogen modification of turbulent burning velocity thermoacoustics nox emissions adaptation of optical diagnosticsassessment of innovative injection systems for h2 optimized combustion chamber flashback risk leanblow out stability nox emission minimisation ignitionimprovement of cfd tools and methodologies for numerical modelling of h2 combustion in both academic and industrial configurationsto this end hestia gathers 17 universities and research centres as well as the 6 european aeroengine manufacturers to significantly prepare in a coherent and robust manner for the future development of environmentally friendly combustion chambers
fetalix rejuvenating the spine to set you free

joana caldeira is a forwardthinking researcher phd in biomedicine and fetaldiscs ceo whose passion is to contribute to the generalized life quality improvement of an increasingly ageing society following her expertise as a researcher in the field of extracellular matrix modulation improving current regenerative therapies namely intervertebral disc disease joana was faced with a problem that is many times overlooked low back pain lbp although it may pose as a straightforward health condition to address lbp frequently caused by intervertebral disc degeneration ivdd affects up to 80 of the population having a tremendous socioeconomic impact this condition often requires expensive lengthy and invasive treatment which rarely treats the underlying disease impacting patients life quality by affecting mobility ability to work and sleep moreover this health challenge is also prevalent in the canines with many breeds suffering from continuous pain limited mobility and immobilization at older ages to address this challenge joana founded fetaldisc lda to mainstream innovative and sustainable deep tech biomedical solutions especially for ivdd treatment having fetalix as its core product the first regenerative fetalinspired biomaterial to treat lbp the solution will change the market dynamics by achieving better intervertebral disc regenerative results being more affordable and eliminating existing treatments setbacks the companys biggest challenge is to master business and market insights to track investors interest undertake clinical trials and certification and thus launch fetalix into the market women techeu support will be paramount for the companys business and market robustness as well as its scaleup through consolidating its business model and plan thus allowing the company to be fully prepared for the commercialization stage women techeu will be part of the journey of rejuvenating the spine to set patients free
unravelling the physiological roles of gpcr voltage dependence

g protein coupled receptors gpcrs are broadly expressed in the brain mediate responses to many molecules and are crucial for normal brain function and therapeutic intervention20 years ago it was shown that the activity of many gpcrs is regulated by membrane potential eg the activity of cholinergic m2r muscarinic and metabotropic glutamate mglur3 receptors is reduced by depolarization and that of m1r and mglur1a is increased however due to high technical challenges a crucial question remains unanswered what are the physiological roles of this voltage dependency its effect on neural activity or its relevance to behaviourrecently we showed that m1r voltage dependence is crucial for its recruitment not only that under physiological conditions in vivo m1r could not be activated without depolarization depolarization alone was sufficient to activate m1r furthermore flies with a voltage independent m1r had increased odor habituation indicating a paramount effect on behavior these findings are pivotal in our thinking on gpcr recruitment and activity however to create a real paradigm shift we need to unravel whether gpcr voltage dependence has a role in other types of gpcrs and neuronal processesthe fly is an ideal model system to explore gpcr voltage dependence roles because it has a low variety of receptors with no functional overlap in particular the drosophila dopaminergic and muscarinic receptors that are highly expressed in the olfactory system seem ideal i will use a multidisciplinary approach of electrophysiology twophoton imaging genetics and behaviour to examine gpcr voltage dependency and means to manipulate it unravel these gpcr physiological roles and examine whether abolishing gpcr voltage dependence affects neuronal activity and behavioural output the understanding that there is a voltage rheostat that controls gpcr activity will open an entirely new field of research and can serve for new therapeutic intervention
high resolution dissection of noncoding determinants of disease

while mutations at proteincoding sequences have been extensively characterized the functional role of diseaseassociated noncoding variants remains largely elusive in fact germline noncoding variants are often associated with increased risk of childhood cancers in bcell derived acute lymphoblastic leukemia ball the most common type of cancer in children noncoding sequence variation at lineagespecific genes such as ikzf1 gata3 and cebpe is associated with disease interestingly the strongest risk factor maps at arid5b a dnabinding protein described to promote the removal of repressive histone marks still the role of arid5b in leukemia and haematopoiesis remains largely uncharacterized thus we hypothesize that noncoding variants associated with ball affect the activity of distal regulatory elements modulating the expression of arid5b and other bcell lineagespecific genes objective 1 we further postulate that arid5b promotes the derepression of lineagespecific genes objective 2 playing a crucial role in bcell development and ball initiation and progression objective 3 to test these hypotheses i will develop a novel crispr screen approach to dissect arid5b enhancers at single nucleotide resolution work package 1 i will use a combination of genomics and transcriptomics methods after acute and prolonged degradation of arid5b to elucidate the molecular function of arid5b in ball work package 2 finally i will use mouse models and focus on the physiological relevance of arid5b in bcell development and leukemia initiation and progression in vivo work package 3 together i will dissect the role of noncoding variants at leukemiaassociated loci characterize the molecular function of arid5b and elucidate the pathophysiological relevance of arid5b
the smallest most affordable and efficient active magnetic bearings for ultrahighspeed applications

active magnetic bearings ambs are considered the next revolution of electric motor technology they solve all the limitations of standard highspeed bearing technologies however they are still limited to low volume applications in heavy industries since their core component controller is very expensive and bulky spindrive is developing magma x100 the smallest most affordable efficient amb controller that solves the limitations of both standard bearings and existing ambs providing 1 ultrahigh efficiency 2 maintenancefree operation 3 no risk of contamination and 4 iot condition monitoring predictive maintenance with magma x100 we make ambs suitable for mass market applications for the first time enabling the energy revolution with applications in green hydrogen compression renewable distributed power generation fuelcell ev and heat pumps among others the high scalability of the new product will be directly translated into our business performance according to our projections magma x100 will represent 80 of our total revenue in 2029
sustainable technologies enabling future telecommunication applications

the global market for nextgeneration telecommunications systems b5g 6g demands products with higher speeds better energy efficiency and sufficient power output the project aims to meet these needs by developing and industrializing nextgeneration semiconductor technologies sige bicmos for st rf gan for ums and the associated integrated circuit design and characterization environments innovative analog and digital rf integrated circuits will be designed with the technologies developed and integrated as fem modules of innovative telecommunications system demonstratorsnew assembly techniques that can solve rf signal integrity and heat dissipation issues or greatly simplify rf systems will also be exploreddemonstrators of innovative telecommunications systems will be developed 10 demonstrators by nokia safran siae and other partners to validate new semiconductor and assembly technologies on use cases envisaged for wireless b5g6g networks more particularly for network access and network trunks very highspeed optical networks and earth observation and satellite telecommunicationsthe shift consortium brings together players covering the entire value chain of these telecommunications applications from laboratories to manufacturers thus guaranteeing the highest scientific level and the possibility of validating the work carried out on suitable demonstrators activities will include environmental and economic impact assessments
cellulose based photonic materials

improper recycling of plastics leads to their degradation in the environment resulting in smaller pieces of plastics that are harmful for the life on the planet microplastics are also intentionally included in many products as whitening agents to produce white appearance in many personal care products and contribute to the microplastic pollution in this proposal we will provide the industry with viable alternatives to substitute current opacifying agents that follow european regulations in particular we will propose the use of cellulose earths most abundant biopolymer which is also bioresorbable to this end we will exploit our expertise in photonic architectures to engineer scattering inks from nanocellulosic and seaweed materials in addition we will also expand the range of applications of cellulosederived thin films through an inexpensive and scalable patterning process that provides optical functionality to these membranes the development of smart paper films with different sensing or antireflection functionalities will serve to illustrate the many hidden talents of this biomaterial
the inner galapagos molecular ecology of the retroviralpirna arms race

the ongoing arms race between transposable elements and their host organisms is a central driver of genetic innovation and biological diversity yet despite this crucial role the underlying principles that govern transposonhost interactions remain poorly understood the ervolution project aims to gain critical insights into the evolutionary dynamics and rules of the ancient transposonhost conflict the project focuses on the drosophila ovary ecosystem and the diversification of insect endogenous retroviruses ervs a highly successful group of genome parasites that have acquired the ability to invade germ cells from surrounding somatic cells as viral particles to multiply in the germline genomethrough a multidisciplinary approach that combines host and transposon genetics singlecell genomics machine learning and controlled transposon invasion experiments we will investigate how transposonhost interactions create biological diversity by driving molecular innovations on both sides specifically the project aims to uncover i how infectious ervs exploit cell biological processes in the host gonad for their somatogermline transmission ii how ervs diversify their compact cisregulatory elements to optimally adapt their expression to the host and iii how the host transposon defence system exploits an achilles heel of ervs their unusual nucleotide composition to silence both old and new genome invadersthe ervolution project provides a unique opportunity to uncover general principles of transposonhost interactions by studying the molecular and evolutionary processes of a major battle between multiple transposons and an experimentally accessible host model organism the projects results are expected to have farreaching implications beyond drosophila particularly in the fields of retrovirology the evolution of cisregulatory sequences of transposons and the fundamental question of how eukaryotic cells distinguish their own from foreign rna
stochastic quantum gauge theories

this proposal aims to solve central open problems in the mathematical foundation of quantum gauge theories qgts an important challenge comprising the yangmills ym millennium prize problem a key outcome of the proposal will be the first constructions in finite volume of 2 and 3dimensional nonexactly solvable qgts with a view towards the physical case of 4 dimensionsthe principal tools that will be developed and used to address these problems are in the field of rough analysis in particular singular stochastic partial differential equations spdes singular spdes appear widely in the study of dynamics with randomness and have seen revolutionary progress in the past decade by developing new rough analytic methods applicable to qgts the proposal will push the frontiers of rough analysis in particular studying discrete approximations of spdes introducing novel geometric solution theories and linking spdes with random matrix theorymy research has shown that the stochastic quantisation equations of ym sym can be renormalised in a geometrically faithful waywhich has already revealed new properties of the exactly solvable 2d ym measure this is strong evidence that rough analytic techniques can bring new light to the study of qgts and render their construction in 2d and 3d finally within reachthe proposal is split into the following three longterm projects1 twodimensional theories solve and identify the invariant measure of sym for nontrivial principal bundles prove large n convergence of sym construct the nonabelian ymhiggs measure in finite volume2 threedimensional theories give the first construction of the 3dimensional ym measure in finite volume prove a discrete version of the bphz renormalisation theorem in regularity structures3 axiomatic quantum gauge theory formulate and prove the osterwalderschrader reconstruction theorem applicable to qgts prove uhlenbecks regularity theorem for distributions
expanding fair solutions across eosc

fairimpact focuses on expanding fair solutions across the eosc it builds on the results of fairsfair and other relevant projects and initiatives the project aims to realise a fair eosc that is an eosc of fair data and services fairimpact will identify proven domain solutions and facilitate the interoperable uptake of these solutions across scientific domains and for different types of research output this includes the overall fairification of various research objects from assigning and managing identifiers describing them with shared and common semantics to making them interoperable and reusable as well as the challenge of projecting the fair principles to other types of research objects such as softwarefairimpact meets these challenges through three work packages which identify and adapt candidate approaches tools and solutions suitable for wider adoption and two work packages focussing on interoperability adoption and support scientific communities are included in the consortium as integrated use case partners this will ensure that viable and tested solutions from one domain can be piloted in others and help to achieve wider uptake adoption implementation of and compliance with the fair principles as the project unfolds additional support mechanisms cascading grants inkind support will be introducedthe fairimpact ambition is to build a web of fair data and related services together with the scientific community and relevant stakeholder groups and to take steps towards realising the ambition of a web of open science fairimpact will contribute to transforming the way researchers share and exploit research outputs within and across research disciplines and to the facilitation of scientific multidisciplinary cooperation with its focus on increasing fairness fairimpact will contribute to improving public trust and reproducibility in science