Dragon09/odtu_chatbot huggingface dataset:
multimodal tensor fusion and completion for patienttailored catheter ablation of persistent atrial fibrillation

tensor analysis plays a central role in signal processing and machine learning for the representation analysis fusion and classification of data responsible for up to 25 of brain strokes atrial fibrillation af is the most prevalent sustained cardiac arrhythmia and remains the last great frontier of cardiac electrophysiology catheter ablation is the most attractive therapeutic option for persistent af although the identification of suitable target areas is strongly dependent on practitioners subjectivity multielectrode catheters are increasingly used in ablation as they facilitate the electroanatomical mapping of the atria but often deliver incomplete data due to lack of contact with the atrial wall this project aims to improve the personalized characterization and management of af by proposing novel tensorbased methods for multimodal data fusion in a possibly missing information scenario new coupled tensor models will be introduced for effectively coupling multimodal information and robust optimization algorithms will be developed for retrieving unknownunavailable information it is expected that the optimal exploitation of invasive intracardiac egm and noninvasive surface ecg records will allow the automatic identification of the best targets for successful ablation encouraging preliminary results have been obtained with the blockterm decomposition btd to handle multiple time segments of the ecg for the blind separation of the atrial activity signal the contribution of egm into the ecg will be identified by analyzing the common factors obtained by the proposed coupled tensor decompositions extensions of coupled btd to multimodal possibly missing data will also be proposed expected impacts lie in original tensor models and algorithms for data fusion and tensor completion leading to novel descriptors of af that can significantly advance the understanding of this prevalent cardiac condition and derive patienttailored ablation protocols
bidirectional remote deep brain control with magnetic anisotropic nanomaterials

the emergence of a new era in neuromodulation is led by the intriguing potential of functional materials to replace or control neural activity the ability to simultaneously analyse neural activity offers the potential to translate signals into a feedback loop for intuitive therapy or even to replace lost neurological functions however neuromodulation and recording in the deep brain commonly relies on chronic implantation of macroscale hardware with numerous safety concerns and often suffers from poor spatiotemporal resolutionbrainmaster will demonstrate scalable wireless minimally invasive neuromodulation relying on forces transformed to mechanosensory neurons by magnetic nanodiscs mnds coupled to external magnetic fields mfs neuromodulation will run concurrently with magnetic resonance imaging mri of ca2 transients brainmasters ambitious objectives will permit celltype specific interrogation write and simultaneous imaging read of deep brain in untethered subjects without implanted hardware overcoming major challenges present in existing approachesmnds will be engineered to selectively target neural mechanosensitive ion channels by release of viral vectors for exogenous channel expression or by recognition motifs for endogenous stimulation mnd surface with ca2 binding moieties will allow dynamic mri imaging via formation of ferromagnetic clusters translated as mri contrast variationsthe bidirectional brainmaster interface will include mri ca2 imaging simultaneous with stimulus from large gradient forces pulling mnds on mechanosensory cells and torques mediated by low frequency mfs from miniaturized mri compatible coilsultimately i will develop the firstofitskind intuitive interface between the deep brain and an engineered system to facilitate cognitive training and therapies for developmental neurodegenerative and mental disorders and demonstrate the technological breakthrough in the rodent model of early alzheimers disease
exploring microbial community stability across mutational spectra

interactions in which all partners benefit known as mutualisms underpin many vital ecosystem functions all across nature recent work by myself and others has shown that mutualisms can readily break down via a few independenceenabling mutations especially under environmental stress understanding the mechanisms that ensure mutualism stability is of increased importance for environmental health and societal problems an unexplored question is the impact that large variations in mutational rates and spectra can have on in this process indeed mutator strains variants with highly elevated and biased mutation rates readily take over microbial populations when there is ample adaptive opportunity such as under environmental stress these dramatic changes in spontaneous mutagenesis can have opposing effects on mutualism stability on the one hand they can lead to adaptive mutations appearing more rapidly promoting partners survival and hence stabilising mutualisms on the other hand they may accelerate the acquisition of independenceenabling mutations hence destabilising mutualism with microcosms i will address this open question by combining computer simulation with experimental evolution and genomics i will experimentally evolve pairwise auxotrophic e coli communities genetically engineered to contain mutator variants that alter the mutational spectrum available pairwise communities will be assessed for mutualism stability when subject to both adaptive evolution under strong antibiotic pressure and nonadaptive evolution where populations are subject to severe bottlenecking these will be matched to simulations predicting the outcome of adaptive and nonadaptive evolution by producing key insights into the stability of mutualisms under environmental stress microcosms will form a knowledge base that will aide in protecting environmental and humanbased ecosystems against disruptions
automated retinal scans for early detection of diabetic eye diseases through use of artificial intelligence

oivi provides affordable eye care for all and prevent unnecessary blindness by providing a lowcost camera for retinal fundus photography with fully automated image capture and diagnostics oivi is a pointofcare device for eye screening of diabetic retinopathy dr dr affects 160 m people worldwide and is the most common cause of blindness among workingage adults yet early detection can successfully prevent visionloss in 95 of the cases current solutions for dr screening are expensive and require extensive training that limits accessibility to patients especially in developing countries oivi is a unique combination of automated easytouse lowcost and integrated machine learningartificial intelligence solutions for image capturing and dr diagnostic in a highly portable design within the iscan project we want to mature the device and its diagnostic functionalities to clinically validate our solution and to assure regulatory approvals
green biomethane market uptake

biomethane is expected to contribute towards the decarbonisation of the eu energy system as a renewable gas its contribution strongly depends on the market policy environment on societal acceptance member state policies are often inadequate and not tailored to market needs the objective of greenmeup is facilitating the wider market uptake of biomethane in the european energy and transport sectors by strengthening the market in countries with slow development rates the work is structured in 6 wp in wp1 framework conditions and market dynamics for bioch4 will be analysed in the top 10 advanced european countries and in selected 5 mi countries the analysis will address all production routes feedstocks and enduses the technological developments for bioch4 production and use and feedstock availability will be addressed similar work will be carried out at national level for 7 selected european target countries greece spain poland latvia estonia czech republic and a region in danube with low developments in wp2 as a result comprehensive overviews of the existing market situation and future market trends in europe and in each of the selected countries will be produced in wp3 stakeholders engagement and societal acceptance will be assured with the involvement of relevant actors representing all stages of the bioch4 value chains through sciencebased evidence and tools in wp4 market uptake policy measures and financial frameworks will be designed that will allow the bioch4 markets to operate efficiently in the advanced and target countries where results could be replicated the interaction of work from all wps will steer the development of more informed and targeted policies in the target countries and support them in building a robust incentivecompatible bioch4 market in their final energy consumption by 2030 and beyond in wp5 dissemination communication will target all key policy decision makers market actors wp6 aims at management
investigate the mode of action ofinvestigate the mode of action of betacarboline derivative harmine on increasing mhci expression and potentiating the immune checkpoint blockade cancer immunotherapy

one of the major mechanisms by which solid tumors escape antitumor immunity is the downregulation of major histocompatibility complex class i mhci which causes a failure in the recognition of tumor cells by the cytotoxicity tcells the project proposed by dr teresa ramos contains basic and translational aspects the basic aspect relies on investigating the mechanisms of action of the acb1801 molecule harmine reported by the host team to restore the mhci in tumor cells using stateoftheart technologies the translational aspect of the project relies on providing the preclinical proof of concept for an innovative immunotherapy combination the combination strategy consists of using a vaccination approach with dendritic cells dc pulsed with tumor cells pretreated with acb1801 in combination with immune checkpoint blockades although dc vaccination constitutes potent anticancer immunotherapy clinical data showed that it does not provide robust benefits to patients the innovative strategy of the project is based on simultaneous boosting the dcbased vaccine by acb1801 and unleashing the power of t cells to induce a robust antitumor immune response which constitutes an unmet clinical need the development of the present proposal will enable dr ramos to achieve a broad range of new technologies and management skills through a variety of multidisciplinary training programs this will represent a key step toward her final objective to become an independent and competitive scientist
offspring coping abilities from stressed parents exposed to global warming in aquaculture and fisheries systems

climate change is affecting the ecosystems resilience biodiversity productivity and health one major societal issue is to secure food destined for human consumption fish are the primary resource for essential fatty acids and proteins for billions of people and they contribute significantly to species diversity and functioning of marine estuarine and freshwater ecosystems yet we are still limited in our ability to accurately predict how climatechange stressors will affect fish populations to date we are crucially lacking studies evaluating the impacts of climate change linking subfields of fish ecology such as genetics behaviour physiology community dynamics or spatial ecology other essential aspects of climatechange impacts such as crossgenerational effects and sexspecific responses of parents that could adaptively prepare the offspring are also often ignored the proposed project has three main objectives 1 investigate the effects of parental thermal stress on offsprings coping abilities to face multiple climate stressors 2 evaluate the impact of thermal stress on sexspecific response and decipher the sexspecific parental effects on the next generation and 3 identify in collaboration with stakeholders from aquaculture and fishery sectors mitigation strategies that can mediate these effects capwarm includes laboratory and field work on two valuable salmonid species for human consumption the rainbow trout oncorhynchus mykiss and the atlantic salmon salmo salar the first accounts for 60 of eu freshwater fish farming while the second is the first produced marine fish but is paradoxically declared at risk in most european waters the results will be further discussed along with management practices available to mitigate parental thermal stress in both aquaculture and wild contexts capwarm outputs will be of high importance for fisheries aquaculture and conservation and fits with the climate action top priority of the eu
industrial manufacturing strategies for distributed control and resilient rapidly responsive and reconfigurable supply chains

eu manufacturing is constantly becoming more productive with less both in terms of material usage and energy consumption the dynamics of global markets demand shorter product lifecycles and higher product variety impacted by an increased volatility in demand traditional manufacturing systems are unsuitable to meet the new think small paradigm they enable flexibility but at high operational complexity and for high volume operations to get lower cost production to realise resilient factories and supply chains it is mandatory to reduce complexity and cost of plug produce modular manufacturingmodul4r envisions reliable maintainable affordable reusable and changeable smefriendly autonomous modular factories and supply chains able to manufacture new product in lowvolumes and rapidly respond to unexpected events as well as the overall supply chain modul4r proposes a holistic framework applicable both to new and existing manufacturing lines to achieve flexibility rapid responsiveness and sustainability modul4r will be demonstrated in specialized mould manufacturing for the automotive sector cpps for flexible modular assembly of pcbs and tools manufacturing for the aerospacemodul4r focuses on 4 pillars offering hw and sw componentspillar 1 resilience against changes in customer and societal demands and disruption on the supply chainpillar 2 modular technologies for flexible manufacturing operationspillar 3 simulation and interfaces to the industrial metaversepillar 4 human centred technologies and upskillingthe impact of modul4r for the eu manufacturing industry but also the society itself can be summarised as follows i process rampup time 20 ii speed in product shifting 29 iii yield cpk 12 21 iv oee 21 v part cost reduction 15 with over 41 meur roi for the consortium vi 408 new jobs and viii help industry to reduce energy consumption 30 through automation of processes 25
digital technological and social innovation mixes enabling transformation for biodiversity and equity

daisy digital technological and social innovation mixes enabling transformation for biodiversity and equity aims to understand how interventions innovations regulations financial incentives and tools affecting social norms and emotions and their mixes can drive systemic change and transformation for biodiversity and equity offering concrete policy recommendations for this daisy will 1 investigate processes supporting current innovations and identify emerging ones in key domains of agrifood energy education and urban and regional development 2 develop test and provide intervention mixes for transformative change across practical political and personal spheres and 3 engage and enhance the responseability of civil society policymakers and businesses to implement and amplify transformative action to achieve these goals daisy will analyse social economic and political processes map existing innovations assess their transformative potential and develop test and assess interventions to be taken up by policies to address biodiversity loss and equity daisy will conduct case studies spanning from using digital apps through commons governance to degrowth models workshops and social science experiments working collaboratively with a range of participants the project will provide recommendations to decisionmakers and build capacity among stakeholders additionally it will foster collaboration with key networks and across a range of domains to amplify its impact
highresolution decryption of left atrial haemodynamics in atrial fibrillation hiddynaf

atrial fibrillation af is characterized by disorganized atrial electrical activation leading to a rapid and irregular heart rate incidence rates are rising to epidemic levels with aging populations af disrupts left atrium la fluid dynamics increasing the risk of stroke and catheter ablation seeks to restore sinus rhythm we aim to develop of personalised risk stratification in af patients begin to optimise ablation treatment and generate novel findings about the pathophysiology of af highresolution decryption of left atrial haemodynamics in af hiddynaf adopts a crossdisciplinary approach to combine computational fluid dynamics cfd 4d flow mri lategadolinium enhancement mri and computed tomography to create a novel model of la flow this model will be applied to investigate af patients pre and postablation furthermore la flow will be compared with myocardial fibrosis and strain previously la flow has been modelled in small groups with idealised or patientspecific geometries some applied wall motion however none have been validated with 4d flow mri as planned in hiddynaf the project will further extend the stateoftheart by analysing many more cases than previous studies n50 to produce impactful results the research questions are built on the complimentary experience of the host team clinical collaborators secondment team and the applicant accordingly the objectives are to develop a novel highresolution validated model of la flow o1 define la haemodynamics vortices wss and turbulence for af o2 and determine the haemodynamic impact of ablation o3 if haemodynamics predict recurrence of af 1 yr o4 if a relationship exists between la myocardial fibrosis o5 myocardial strain o6 and haemodynamics hiddynaf consists of 6 work packages project management knowledge transfer training model development study large cohort study of pre postablation patients analysis synthesis and dissemination
realtime imaging and photocatalysis mediated biodegradability of microplastics in a continuous flow system

the relevance of realimp lies in the need to develop and optimize sustainable technologies to remove contaminants of emerging concern such as microplastics and organic micropollutants from water contributing to the access to cheap and clean water sources to large urbanized centers and small rural communitiessolar lightdriven photocatalysis has great potential to overcome this challenge due to the virtually zero cost of solar power and the low cost and abundance of the wellestablished tio2 photocatalyst however it remains limited to niche applications due to its low photonic efficiency and elevated costs realimp will tackle these issues by using doped tio2 tuned for the visible light of the solar spectrum and pilot scale photoreactors adapted and optimized to reallife applications using statistical design of experiments methods another innovation will be the development of ultrasonic acoustic sensors to detect the microplastics spatial distribution in both static and continuousflow conditions and to assess their adsorption on the catalysts surface via geophysical inversion the biodegradability of the microplastics after photocatalytic experiments will be assessed under simulated real conditions using a respirometer to further simulate real conditions the influence of the presence of organic micropollutants such as antibiotics including their adsorption on microplastics will be investigated regarding microplastics degradability empirical models of prediction for photocatalysis and biodegradability kinetic rates energy consumption and economic costs will be obtainedbesides providing cuttingedge technological and scientific results in this field as well as interdisciplinary training to broaden my expertise realimp will prioritize outreach activities to reduce the gap between academy industry and the general public such as workshops educational and raising awareness campaigns
quantum chemical design of molecular magnets

a reliable ab initio description of molecular magnets is key to developing a new era of quantum devices that will be more efficient and easier to tune by structural modification of their building units however quantum mechanical treatment of such systems is challenging due to their multiconfigurational wavefunctions requiring a well balanced description of their constituent electronic configurations furthermore these systems are often large magnetic molecules or atoms deposited on supports whose models include hundreds of atoms hampering the application of accurate ab initio methods yet small energy gaps from tens to hundreds of wavenumbers call for quantitative accuracy the aim of this project is to design new molecular magnets practical for realworld applications to this end i will employ a new and affordable computational strategy that combines accurate equationofmotion coupledcluster eomcc theory on the magnetic center with more approximate density functional theory dft on the remainder avoiding costly eomcc calculations on the full system i will combine interdisciplinary approaches eomccindft for openshell species and tools computing magnetic properties from ab initio calculations to determine how microscopic interactions spinorbit and zeeman contribute to macroscopic magnetic properties and how these are optimized in two model systems i a cobaltii singlemolecule magnet and ii single cobalt atoms on the mgo001 and cu111 surfaces this project will enable through collaboration between researchers with complementary expertise a transfer of knowledge across multiple fields such as solidstate physics quantum chemistry and molecular magnetism via research training including a secondment i will explore new approaches eg modelling metal surfaces periodic wavefunction theories and periodic embedding theories which will be crucial to cultivating my place as an expert in this field
live imaging module for organoids

the increased use of organoids 22 growth rate market creates a new need methods of rapid high throughput screening of the organoids for quality control in the case where they are to be used as graft tissues or in drug screening trials while at the same time not damaging the organoids so that they may be used for graft or followed up long term for therapy efficacy evaluation or disease modeling applications current imaging methods for organoids do not meet this need as they are invasive and cause damage to the sample our team of experts in optics and biology propose a modular solution to live image 2d and 3d cell models with an unprecedented resolution and without use of any kind of marker over a multiple week time span dynamic full field optical coherence tomography dffoct is a noninvasive 3d label free live long term high resolution modular imaging system for which we own two patents it is an interferometric technique where the image contrast is generated by movements of subcellular organelles such as mitochondria producing a quantitative colormap linked to cell activity the present proof of concept project liveorg seeks to valorise the live imaging method developed for retinal organoids in erc consolidator optoretina and disseminate this technology to a wide audience outwith the retina including cancer neurology gastroenterology hematology and development the liveorg project specifically aims to consolidate the team by hiring an engineer dedicated to design construction and installation of dffoct modules duplicate the dffoct module install the modules at kol sites and acquire and analyse data with these modules in concertation with the kols to disseminate results thanks to this project we anticipate that we may attract interest from investors which would allow us to create a startup and potentially from known microscope manufacturers who could distribute our modules or to whom we could license our patents