Dragon09/odtu_chatbot huggingface dataset:
contribution of trna fragments in the etiopathogenesis of huntingtons disease trget hd

many pathogenic mechanisms are involved in huntingtons disease hd the most prevalent monogenic neurological disease in europe with no current cure the host team reported a dysregulation of trnafragments trfs in hd brains other studies showed higher stress granules sg density in hd and that trfs promote sg assembly thus my hypothesis is that hdrelated trfs contribute to the accumulation of sg initiating mutant huntingtin mthtt aggregation and leading to disease pathogenesis i propose to explore the interaction between mthtt aggregates and trfs and sg as new potential therapeutic targets specifically i aim to study the 1 celltype specificity of trfs formation and their correlation with hd progression 2 molecular mechanisms by which trfs may induce hd pathology and 3 potential of trfs modulators to treat mthttrelated neurotoxicitythis projects success relies on the perfect synergy of the host teams expertise in trfs biology and hd and my own experience in rna and proteotoxicity in neurodegenerative diseases thoroughly addressing the hypothesis via complementary human cellular and mice hd models and a plural array of bioinformatic molecular biology and genomic approaches the outcomes will help define the role of trfs and sg in mthtt aggregation and may be used as preclinical proofofconcept for novel hd therapies reflecting the projects translational potentiali will benefit from scientific exchanges with expert neuroscientists in the host institution particularly my supervisor whose skills in functional genomics fully match my expertise in rna and protein pathological mechanisms my translational technical knowledge and network of collaborators will be useful to the host group to build new cooperative projects thus the msca fellowships will allow me to develop unique technical and transferable skills helping me progress and establish myself as a leader in neurodegenerative research within a european research institute
buildings as efficient interoperable formers of clean energy ecosystems

the weforming project aims to change the paradigm of efficiently managing energy in buildings paying special attention to their interaction with the energy ecosystem energy networks and markets by developing deploying and demonstrating innovative solutions addressing i digital operation management and maintenance and ii efficient and interactive energy processing for intelligent gridinteractive efficient buildings igebs able to operate intelligently in a multienergy multiuser multisector multimarket and multiobjective environment without forgetting quality comfort health and acceptation the weforming framework will deploy an umbrella framework covering all aspects around the establishment and adoption of igebs in cities which consists of i a building operational pillar encompassing all assets of igebs including the energy management systems and the different platforms aiming towards the building operational optimization the actors and the actual flexibility resources generation and storage components ii a novel interoperability assurance pillar which leverages on adapts evolves and specifically validates leadingedge interoperable architectures iii a business pillar including all necessary processes to bring the proposed solutions to the market through the design and validation of sustainable and competitive business models ensuring the economic viability of the investments needed for the establishment of smart cities featuring new and refurbished igebs iv a smartcity enabling pillar integrating igebs as modular units addressing all different nontechnical barriers and limitations for the widespread deployment of the proposed solutions that will create a stock of active buildings acting as active utility nodes within cities
kinship systems in gyalrong history and transformation

the naqiangic nq languages are an endangered subgroup in sinotibetan st spoken by ethnic minorities in the hengduan mountains of southwest china the nqspeaking area is home to great diversity of kinship and marriage patterns where one finds zouhun a nonconjugal visiting system practiced by matrilineal communities many questions remain unanswered are matrilineal kinship and zouhun vestiges of once more widespread practices did these diverse kinship patterns originate from a common ancestral system what are the factors leading to the diversity of family structures in this area to answer these questions kinsight focuses on the gyalrongic nqspeaking area in northwestern sichuan and uses linguistic methods to trace transformations of kinship systems of the gyalrongs the two interlocking themes of this investigation will be i the directionality of transformation from the protogyalrongic kinship system to the synchronic systems and ii correlations among historical changes in kinship systems marriage patterns and nq phylogeny kinsight will advance our understanding of the gyalrongic kinship patterns and their values in revealing the origin of family structure in the hengduan mountains as well as general principles of kinship transformation kinsight will enhance collaborations between linguists and anthropologists during this fellowship the pi shuya zhang will be based at the trinity centre for asian studies tcd where she will benefit from instructions from prof nathan hill in practicing historical linguistic methods during the secondment at the center for himalayan studies cnrs paris she will work with dr stphane gros a prominent anthropologist specializing in ethnic minorities in southwest china the fellowship will enable the pi to become a leading female scholar in st kinship studies and will position her to prepare a competitive erc grant application while opening up new career opportunities in ethnological museums
the waterwise hub an excellence hub on water in the circular economy

the waterwise excellence hub is a vibrant actionoriented initiative that aspires to serve as a catalyst for ri creation and uptake business development and knowledge dissemination for water in the circular economy ce it leverages ce principles to rethink and transform water management in romania greece and selected western balkans and eastern partnership countries md sb al nm and ua waterwise perceives the water sector not only as sustainable but also regenerative emphasizing closedloop systems optimal resource use and reduced waste in line with eu policies and ris3 strategies it is based on a quadruple helix model of innovation and works at the nexus of technology acceleration entrepreneurial support and ri boosting water innovation in the region and beyond to this effect the hubs partners cocreate an ri strategy an action and investment plan a fundfinder portal a strategic tactical decisions toolbox as well as an operational decisions toolbox setup water tech challenges develop and launch an innovation accelerator produce lll training courses create and share a knowledge hub and develop and deploy a mentoring scheme through a bottom up approach in collaboration with a wide range of key actors and stakeholders across the region the hub is empowered by its strong partnership that brings together actors from government ridriven universities and research centres funding bodies business water utilities sme associations and civil society to create services tailored for postproject sustainability and realworld impact
novel subglacial ocean models to accurately predict iceshelf ablation rates at high resolution and low computational cost

ice shelves fringing the antarctic coastline limit sealevel rise by slowing down the flow of grounded ice into the sea they are thinning because of warming and intensifying ocean currents building upon my expertise in multiscale flow dynamics and subglacial oceanography i will resolve the two main bottlenecks that impair our ability to assess and project the state of antarctic ice shelves these are i a poor understanding of the relationship between iceshelf ablation rates and ocean properties ii the high computational cost of ocean simulationsi will first build new models of the metrethick iceshelfocean boundary layer isobl using innovative laboratory experiments and simulations that will unravel its dynamics the lack of accurate isobl models is responsible for leadingorder errors in predicting ice loss rates and freshwater production the new models will capture how turbulence controls heat fluxes over an unprecedented range of sub iceshelf conditions accurately predicting ice ablation rates from the grounding line to the shelf fronti will then promote a paradigm shift in the modelling of oceans beneath ice shelves which are hundreds of kilometres wide at present ensemble simulations of iceshelf ocean cavities on 100year time scales are about 1000 times computationally too costly to resolve mesoscales which influence the mean circulation and ice ablation to circumvent this issue i will train novel datadriven reducedorder models roms which will emulate the ocean dynamics at high resolution and unprecedently low computational cost the roms will learn the key fingerprints of ocean cavities and their time evolution from shortterm highresolution simulations they will then be extended to longer times and different forcing conditions enabling eddyresolving ipcclevel large ensemble simulations of subglacial oceans which will help reduce uncertainty related to the timing of abrupt regime changes of the antarctic ice sheet
using a natural approach to elucidate the neural mechanisms of alarm calling behaviour in birds

watch out is the term we use to inform somebody about a potentially dangerous situation take cover we shout when the threat is imminent not only humans but also animals use alarm calls to warn conspecifics about danger and the value of these signals for increasing the chance of survival in the receiver is without controversary but alarm calls often harm the sender through their production and are therefore considered an evolutionary paradox which has fascinated scientists for many decades while the function development and evolution of alarm calls have extensively been studied the proximate mechanisms relating to how the brain controls alarm call production or the reactions to alarm calls are unknown uncovering the brains role in antipredator behaviour such as alarm calling is fundamentally important for understanding how neural systems facilitate decisionmaking in lifethreatening situationsmy project will be first in studying the neural basis of alarm calling behaviour and will exploit a unique and completely natural approach brain activity at the cellular level will be wirelessly recorded in parallel to individual vocal activity in groups of freeranging wild songbirds while they emit listen and react to alarm calls in their natural habitat in 2017 we pioneered the application of extracellular neurophysiology during field research and are currently the only researchers worldwide who conduct neurophysiological experiments with wild animals outside a laboratory brain regions belonging to three different neural circuits will be targeted within my project the vocal control system the hearing system and the fear system the new knowledge produced by my project will help us to understand the computations the brain has to perform when we warn others about danger or when we get warned and will elucidate how different neural circuits naturally work together to flexibly adjust fear reactions to the threat level signalled by alarm calls
unveiling the complexity of radio foregrounds for the detectability of the cmb polarization bmode

one of the main challenges in cosmology is the detection of the primordial bmode of cmb polarization which would constitute a confirmation of the inflationary period of the universe however the presence of different contaminants mainly coming from the emissions of our own galaxy constitutes one of the major limiting factors to constrain reliably the existence of the bmodes indeed the success of future cmb polarization experiments lies in the improved understanding and removal capability of foreground emissionsradioforegrounds will provide a stateofthe art description of the highly complex properties of the polarised radio emission from our galaxy in particular the synchrotron and the anomalous microwave emissions as well as of the population of radio sources it will also provide an unprecedentedly thorough description of the intensity signal this goal can only be achieved by combining the esas planck satellite maps 30857ghz with the unique low frequency experiments considered in this proposal quijote 1040 ghz cbass 5 ghz and spass 23 ghz by counting within the consortium with experts on the previous data sets including the teams responsible for quijote and cbass and by using the most advanced analysis techniquesthe combination of these datasets will provide highlevel data products that will range from more complete radio catalogues including fainter sources and additional frequency coverage to new component separated maps in wider regions of the sky these new data products and models will be made available to the scientific community through widelyused platforms increasing the scientific return and the impact of the project we will also provide forecasts of the impact of radio foregrounds on the detectability of the bmode of polarization for future cmb experiments the resulting analyses will play a key role in preparing and supporting future international cmb missions as litebird or groundbased efforts as cmbs4
microcomb photonic engine

mengine proposes a unique solution to the rapidly increasing bandwidth demands of data centers with the massive growth of ai and social media in an increasingly connected world data centers are expected to account for 20 of europes energy use by 2030 posing a significant challenge to meet the eus climate goals current solutions to increase bandwidth in optical communications involve adding more singlechannel lasers which neither meets the capacity needs nor the energy requirements our proposal offers a scalable solution based on the nobel prizewinning technology of optical frequency combs to provide highly coherent multichannel lasers for highcapacity low energy consumption data transmission mengines solution can replace 100s of individual lasers used in connecting data centers with just one compact system the proposal combines enlightras photonic chip technology with xceleprints cuttingedge solution of microtransfer printing for scalable heterogeneous integration of all necessary photonic and electronic components eblana photonics highpower distributed feedback lasers will be transformed for transfer printing on the wafer scale while deutsches elektronensynchrotron desy and laboratoire interdisciplinaire carnot de bourgogne icb will contribute recent breakthroughs in chipintegrated frequency combs enabling increased efficiency stability and equalized power of the generated data channels dublin city university dcu will perform independent performance testing for telecom before test devices are sent out to customers for pilot projects the result will be a scalable photonic chip engine meeting future data needs with reliability longterm operation and a clear business case mengines primary market focus will be data centers but it will have the flexibility to address related markets such as photonic computing the consortium aims to create a viable solution in 5 years when the market is expected to be valued at 14bn
quantum dynamical neural networks

quantum neural networks are a young research field that has been rapidly expanding due to their potential to attain revolutionary computing capacities and the possibility to learn on quantum data inaccessible to classical computers however despite impressive proofofconcept results currently existing approaches that rely on sparsely coupled qubits are not scalable to network sizes and connectivities with tunable weights required for stateofthe art tasks in qdynnet i will adopt a completely new and unexplored approach that uses parametrically coupled superconducting quantum oscillators instead of physically coupled qubits that will allow me to obtain quantum neural networks of unprecedented size connectivity and tunability to do this i will shift the paradigm by implementing neurons as basis states of dynamically coupled multilevel quantum oscillators and connections between neurons as transition rates obtained through different dynamical processes such as parametric coupling resonant drives and dissipation i will implement experimentally quantum neural network architectures that were only simulated until now and use them to demonstrate data classification with basis state neurons in order to go towards more complex tasks i will use parametric coupling to introduce tunable connections between neurons i will develop new training methods that will allow me to tune connections in such dynamical quantum neural networks and use them to demonstrate learning to recognize quantum states i will develop circuit geometries that will be scalable to large quantum neural networks with millions of neurons and tunable connections the qdynnet project will provide understanding of physics and methods for dynamical coupling and training that will have a broad impact across quantum computing fields and serve as a foundation for a whole new family of largescale dynamical quantum neural networks
stucco stuccoes from the roman necropolises of pozzuoli 1st3rd century ce campania italy

the stucco project deals with the exceptional stucco decorations lime and marble powder from the roman necropolises of puteoli 1st3rd century ce an important city of ancient italy which were removed in the 17th18th century and bought by collectors 70 stucco bas reliefs are nowadays preserved in the collections of the greatest european museums stucco aims to 1 study the craftsmanship of the pozzuoli current name workshops 2 acquire data on the iconography in order to add a chapter of art history for the centuries following the destruction of pompeii in 79 ce a period for which the remains of decorative arts are scarce and rarely studied and 3 recontextualize the stuccoes by spotting the tombs still rising from which they were taken for the first time since they were removed from their original contexts the stuccoes will once again form a coherent ensemble thus becoming one of the most important collections of roman stuccoes in the world the project will be monitored by interdisciplinary teams based at the universit parisnanterre host institution france and the university libre of bruxelles secondment belgium and by professional curators working in archaeological museum secondment saintromainengal these research collaborations with toprank scholars and international museum institutions will further expand my skillset build my professional network and refine my ability to transmit results to a broad audience digital humanities and open access will be a fundamental aspect in the implementation of this research and used to share information and enhance its outcomes the limited number of stucco fragments guarantees the feasibility of the project by enhancing and recontextualizing the overlooked archaeological heritage of pozzuoli stucco will have both a scientific and societal impact and pave the way for a renewal of studies on ancient stuccoes a field for which there is currently no expert holding an academic position
building clarity and preventing bias in digital forensic examination interorganisational communication and interaction

clarus is a multidisciplinary and multiorganisational consortium comprised of 6 academic research organisations
a new cardioprotective drug for acute treatment of myocardial infarction

ischemic heart disease kills more than 17m peopleyear in the eu the vast majority via a heart attack myocardial infarction mi heart failure hf is the major cause of death after mi with a prevalence of 26m individuals globally while current treatment involving restoration of blood flow to the heart saves the mi patients life it also causes additional damage to the heart through an inflammatory reaction reperfusion injury resothers leading drug candidate rtp026 is an immunomodulating therapeutic aimed at resolving inflammation triggered during mi thereby reducing damage to the heart and significantly decreasing risk of hf and death preclinical data suggests rtp026 could reduce postmi hf by 20 a phase i study has been conducted to determine safety and tolerability of rtp026 in healthy volunteers with the eic we aim to validate rtp026 clinical effectiveness by means of a phase iia patient proof of principle study and phase iib proof of concept study
characterizing ligandprotein interactions with a cryoem datadriven modeling approach

visualizing proteinligand interactions at atomic details is key to understand how ligands regulate macromolecular function this knowledge could be leveraged to develop pharmaceutics utilizing the structurebased drug discovery platform however determining experimental structures of such complexes is often difficult using thevisualizing proteinligand interactions at atomic details is key to understand how ligands regulate macromolecular function this knowledge could be leveraged to develop pharmaceutics utilizing the structurebased drug discovery sbdd platform however determining experimental structures of such complexes is often difficult using the traditional timeconsuming approach of hunting for suitable crystals for xray analysis recent breakthroughs in singleparticle cryoem have overcome this limitation and enabled us to obtain atomic resolution structures of complex biomolecular systems though cryoem can now provide very highresolution data of the overall system less than 2 angstroms in many cases unfortunately resolutions of ligands are often significantly low to be useful for sbdd parallel to developments in cryoem computational methods for modeling and refining structures into em maps have been developed but their main focus has been to build accurate protein structures here i propose to exploit the increased computing power of molecular dynamics simulations offered by highperformance computing and algorithm development to develop a cryoem datadriven computational modeling approach to fit ligands into lowresolution em maps after testing in a large data set this approach will be applied to identify ligand binding sites in new em maps of a membrane protein and investigate how binding regulates the functional landscape of proteins the findings of this proposal could open new avenues in the drug design platform by leveraging the power of cryoem and computational chemistry to accurately model ligandprotein complex structures