Dragon09/odtu_chatbot huggingface dataset:
endogenous human herpesvirus germ line integration and effects on host cell and organism

endogenous viruses present in the human genome control physiological processes modulate aging and can cause diseases intriguingly a herpesvirus has entered the human germ line by integrating its genome into telomeres of germ cells and is present in about 80 million people the virus human herpesvirus 6 hhv6 can reactivate from the integrated state which is associated with a number of diseases these include seizures encephalitis heart failure and graft rejection we recently analysed the virus genomes present in hundreds of individuals with this inherited chromosomallyintegrated hhv6 icihhv6 the data show that todays endogenous virus sequences are quite diverse and derived from dozens of independent integration events that were passed on for generations there are critical gaps in our knowledge on the functionality of icihhv6 genomes with respect to virus replication gene expression and latency its effects on the host cell and the role of telomere shortening that occurs during aging on virus reactivation endoherpes will make use of novel technology to close these gaps and provide the basis for elucidating whether diseases are associated with or caused by icihhv6 specifically we will 1 identify which icihhv6 genomes are still functional and could contribute to disease development 2 determine icihhv6 integration sites within the highly repetitive telomere region and assess the integration and reactivation process on the dna level and 3 investigate the effects of the icihhv6 genome on host cells and if telomere shortening can induce reactivation the proposal utilizes stateoftheart technology and pioneers new approaches particularly when investigating the integration sites of endogenous virus genomes and the mechanisms facilitating integration and reactivation altogether we will shed light on the life cycle and effects on the host cells of this endogenous herpesvirus present in the genome of about 1 of the human population
stochastic pdes and renormalisation

the field of stochastic partial differential equations spdes has been revolutionised in the last decade by breakthrough works of hairer gubinelliimkellerperkowski and many others a new understanding of renormalised solution theories emerged solving longstanding singular equations arising in various areas of probability and mathematical physics the purpose of this project is to study a number of important questions in the field open new directions and challenge central open problemsi launch the investigation of singular spdes that preserve gibbs measures of distributional hamiltonians such as the density of selfrepellent polymersii tackle the question of a quasilinear renormalisation formula the last remaining component of the quasilinear solution theoryiii develop an efficient quantitative approximation theory of singular spdes removing the criticality barrier from the rate of convergence
collaborative actions to bring novel biofuels thermochemical routes into industrial scale

biotheros project aims at developing a holistic methodology that will boost the scaleup of sustainable biofuels via thermochemical conversion technologies these are pyrolysis upgrading through hydrodeoxygenation and fischertropsch synthesis from biomass gasification the project will bring together key actors at a both european and international level such as technological and social experts renewable energyoriented associations along with industrial experts that will bring and exchange their knowledge in order to reach the project targets within the project several nonfood biomass feedstock will be analyzed and optimized across their entire value chain barriers linked with the selected feedstocks supply and pretreatment will be identified furthermore aibased predictive models will be developed in order to be adapted to the scaleup cases then the most promising biomass feedstock will be tested experimentally in the studied thermochemical reactors at this point of the project technical constraints and opportunities for the scaleup of the sustainable biofuels thermochemical processes will be identified possible synergies of blending pyrolysis oil and gasification based advanced biofuels will be investigated by a potential enduser petroleum company the selected data will be used as an input for advanced modelling tools including process modelling cfd tools and lcalccslca tools results of which will feed a multicriteria analysis to derive generalized upscaling rules and guidelines of the produced biofuels the engagement of several stakeholders in the planning of the scalingup of sustainable biofuels production will be crucial at this point since they will review the project results and assess if a biofuel production technology can be delivered from the labpilot to a largerscale by taking into account operational difficulties plant cost and plant capacity limitations technological barriers
centre of excellence for organic printed electronics nanotechnologies

copenano is a highly ambitious project that aims to the foundation of a new centre of excellence for organic printed electronics nanotechnologies by leveraging the nanotechnology lab ltfn aristotle university of thessaloniki auth to establish a new autonomous and selfsustained centre of excellence for organic printed electronics nanotechnologies copenano this coe will become a leader in eu in basic applied and industrial research in the rapidly growing fields of flexible printed organic electronics fpes bioelectronics and advanced nanomaterials for applications in green energy electronics ict medicine and agriculture copenano will enhance scientific and technological capacity of greece raising the research profile of the greek and eu scientists researchers and entrepreneurs based on close and intensive collaboration networking and knowhow exchange with the university of bordeaux ubxadera lcpo elorprinttec and the university of cambridge cam which are institutions worldwide acknowledged for excellence leading in oe and nanotechnologycopenano is strongly supported by the greek government gsri to expand the nanotechnology ecosystem of ltfn and turns them into purely growth initiatives and business activities strengthens and highly impacts the regional national and eu scientific technological and economic growth to lead in the green energy and digital transformation prioritiescopenano will i establish a nonprofit coe with financial and administrative autonomy ii install stateoftheart facilities for ri iii recruit retain talented new researchers to advance the ri culture iv establish the technology transfer innovation office to develop strategies that facilitate innovation and commercialization for the socioeconomic impact maximization for bridging the gap between academia and industry in greece eu and to induce institutional and systemic reforms and increase of the ri investments
era electric regional aircraft

era is an hybrid electric aircraft propelled by electric engines that are powered by the electricity supplied by batteries andor the turbogenerators located at the aft of the aircraftera matches the most advanced needs of the market and will allow exploitation for decades standup and pressurized cabin large cargo door latest avionic fly by wire enabling flight domain protectionera is single pilot capable enabling the airlines to cope with the lack of trained pilots and to reduce their operating cost when the regulations allow itit can take off and land on short runways 800m and can operate on unpaved runwaysthe four versions of era answer most of market needs passengers with up to 19 passengers on commercial flights full cargo with 2 tons of payload and 21m3 of available volume business 8 passengers configuration special missions eg medical evacuation with ad hoc configurationdepending on the configuration era covers distances from 400 up to 1500km
europeindia partnership for scientific highperformance computing

highperformance computing hpc is a major enabler of progress in many domains of science including un sustainable development goals towards improving population health and climate action hpc is driving breakthroughs in genomics drug discovery and personalized medicine as well as geophysical hazard simulations improving preparedness for disasters like earthquakes and tsunamis and supports weather and climate predictions europe is among the world leaders in hpc and with initiatives such as eurohpc ju is advancing the usage of exascale computer systems for research india is expanding its hpc capabilities through the national supercomputing mission focusing on indigenous technology and fostering academic industrial and governmental collaborations combining europes advanced infrastructure with indias growing expertise offers opportunities for innovation in those strategic areas of climate modeling disaster management and healthcare shared resources and expertise can enhance predictive models accelerate responses to pandemics and foster technological and economic growththe ganana project is establishing a longterm partnership collaboration by uniting european hpc centers of excellence bioexcel cheese esiwace3 and indian institutions cdac imd isr nii airawat with the objectives tostrengthen the links between research communities in the priority domains by supporting existing and establishing new collaborative activities setup and operate a range of activities in support of expertise exchange capacity building and sharing of computing resources develop selected leading software packages by extending their functionality optimise hpc performance and scalability deploy on target architectures improve usability and data integrationexpand the outreach broaden the participation of external collaborators and develop a framework for wider community engagement and cooperationinvestigate options for governance and funding models engage in a policy dialogue with key stakeholders and develop a framework for longterm partnership
the global latent workspace towards ai models of flexible cognition

recent advances in deep learning have allowed artificial intelligence ai to reach humanlevel performance in many sensory perceptual linguistic or cognitive tasks there is a growing need however for novel braininspired cognitive architectures to achieve more robust and flexible cognition the global workspace theory refers to a largescale system integrating and distributing information among networks of specialized modules to create higherlevel forms of cognition and awareness it is one of the dominant neuroscientific accounts of higherlevel brain function we argue that the time is ripe to consider explicit implementations of this theory using deep learning techniques we propose a roadmap based on unsupervised neural translation between multiple latent spaces neural networks trained for distinct tasks on distinct sensory inputs andor modalities to create a unique amodal global latent workspace glw sensory inputs that are broadcast in this glw acquire meaning by connecting them to or translating them into the relevant semantic knowledge and representations from language memory or decision systems the semantic grounding property conversely language and semantic representations are grounded in the sensory environment via the same broadcasttranslation operation finally broadcasting sensory and semantic inputs to the relevant effector domains can create motor affordances and support embodied cognition together the grounding and affordance properties infuse meaning in ai processes which can then be combined sequentially via attentional selection to enable flexible cognitive functionsie system2 ai the interdisciplinary project will directly implement the glw framework in deep learning models of growing complexity and evaluate their correspondence with brain networks it will provide an explicit evaluation of the global workspace theory and push the limits of current deep learning systems towards nextgeneration ai
microbiotacontrolled trafficking of immunosuppressive intestinal t cells into cancer

resistance of cancers to immune checkpoint blockade icb can result from a deviated taxonomic composition of the intestinal microbiota a surge in the enterocloster genus for instance following discontinuation of antibiotics or chronic inflammation caused by tumors induces the downregulation of madcam1 in the ileal lamina propria and mesenteric lymph nodes through perturbations of biliary salts in turn the ileal madcam1 loss induces the exodus of immunosuppressive t lymphocytes expressing the madcam1 receptor 47 ie foxp3 rarrelated orphan receptor gamma t rort regulatory tr17 cells from the gut to distant tumors disruption of the madcam147 axis compromises the efficacy of immunotherapy and reprograms the tumor microenvironment towards a regulatory phenotype moreover serum soluble madcam1 is a proxy of intestinal dysbiosis and a robust predictor of survival in cancer patients treated with icb to decipher the biological significance of these findings we will first investigate the transcriptional and posttranslational mechanisms regulating madcam1 expression and function task 1 in particular neuroendocrine and metabolic cues next a comprehensive phenotyping of the emigrating enterotropic t cells reaching the tumor by single cell transcriptomics and genomics as well as specific genetic and immunopharmacological intervention on t lymphocytes and cancer cells will lead to the identification of the molecular mechanisms regulating the guttumor axis task 2 we will investigate how enterotropic t cells homing to cancers maintain their proliferative and suppressive capacities in particular in the light of the recognition of tumor andor commensal antigens task 3 altogether this approach will lay the molecular and metabolic foundations governing the madcam147 gut immune checkpoint
feed your mind investigating the nature ontogeny and evolution of cognitive processes underlying food behaviors to pave a way toward efficient interventions promoting healthy eating in early life

the rise of foodrelated health disorders calls for action food behaviors take shape early in life and track well into adulthood thus efficient evidencebased interventions promoting healthy food practices in early life are key to tackling these challenges the aim of the project is to shed light on the cognitive processes underlying food learning in infancy and provide empirical bases to design such interventionsthe project adopts a novel perspective on food learning current research has overlooked that our modern food environment strongly differs from the environment in which our ancestors lived in fact in most cultures today decisions about food are made during a trip to the grocery store where we might ask ourselves are these canned tomatoes healthy but certainly not are they edible or toxic as a result scholars missed that a critical step in learning what to eat over the course of ontogeny is determining which entities in the world are wholesome foods and which ones are harmful items to eschew the project will fill this research gap using robust methods from neuroscience and psychology first wp1 will investigate the ontogeny and neurocognitive bases of the capacity to recognize food objects testing whether this capacity emerges when infants transition to solid food guiding their attention to foodrelevant inputs such as social information about edibility second wp2 will examine the social component of food learning processes once infants are able to recognize food objects testing whether infants show a negativity bias when learning about food from others giving more weight to negative than to positive information finally building on wp1 and wp2 results wp3 will investigate the longitudinal relationship between the processes underlying food recognition and learning in infancy and food behaviors later in childhood paving a way towards designing efficient evidencebased interventions promoting healthy eating in early life
beyond entangled pairs quantum correlations in networks

this research proposal concerns the theoretical study of quantum correlations in networks given the current wide availability of the preparation and distribution of twoparty entangled states we propose to develop theoretical tools that enable the construction of multipartite quantum correlated networks using twoparty states as building blocks such interconnected quantum networks would then allow for the implementation of sophisticated and secure quantum information protocols the project is divided in three work packages wp with different questions and goals the first one focuses on the generation of entanglement it will tackle the problem of manipulating bipartite quantum states in quantum networks in order to generate genuinely multipartite entangled states our goals are to characterise the sets of states that can be generated in a given network define entanglement measures that are appropriate for network scenarios and bound the amount of entanglement a network can produce the second wp concerns the certification of entanglement in partly trusted star networks our goal is to develop a complete framework for entanglement certification with a semideviceindependent approach that is particular to networks employing techniques from quantum steering the final wp focuses on the problem of the equivalence between entanglement and bell nonlocality our objective is to investigate whether any bipartite entangled state can lead to nonlocality in a network setting the investigation of this fundamental longstanding question will allow us to determine which bipartite states are and are not useful to quantum networks with the highest level of security this research project shall be undertaken by the applicant dr jessica bavaresco under the mentorship of prof nicolas brunner at the university of geneva switzerland during the outgoing phase and dr cyril branciard at the french national centre for scientific research france during the return phase
aipowered manipulation system for advanced robotic service manufacturing and prosthetics

a key challenge in intelligent robotics is creating robots that are capable of directly interacting with the world around them to achieve their goals on the other hand robot manipulation is central to achieve the promise of robotics since the definition of robot requires that it has actuators that it can use to change the worldin the last decades a substantial growth has been observed in research on the problem of robot manipulation which aims to exploit the increasing availability of affordable robot arms and grippers to create machines capable of directly and autonomously interacting with the world to implement useful applications learning will be central to such autonomous systems as the real world contains too many variations for a robot to have an accurate model of human requests and behaviour of the surrounding environment the objects in it or the skills required to manipulate them in advance the main objective of the intelliman project is focusing on the question of how a robot can efficiently learn to manipulate in a purposeful and highly performant way intelliman will range from learning individual manipulation skills from human demonstration to learning abstract descriptions of a manipulation task suitable for highlevel planning to discovering an objects functionality by interacting with it to guarantee performance and safety intelliman aims at developing a novel aipowered manipulation system with persistent learning capabilities able to perceive the main characteristics and features of its surrounding by means of a heterogeneous set of sensors able to decide how to execute a task in an autonomous way and able to detect failures in the task execution in order to request new knowledge through the interaction with humans and the environment intelliman further investigates how such aipowered manipulation systems are perceived by the users and what factors enhance human acceptability
advanced database for biomaterials with data analysis and visualisation tools extended by a marketplace with digital advisors

biomaterials in healthcare span almost all medical fields ranging from recognised materials to highinnovative smart and multifunctional biomaterials one of the main challenges is to provide accessible and wellstructured data of biomaterials for all relevant practitioners and user groupsbiomatdb aims to create an advanced database for biomaterials providing detailed information on its properties flexible data analysis and visualisation tools support the search and selection process based on analyses of the results of biological testing of biomaterials from the scientific literature to incorporate data on as many of the material properties as possiblebiomatdb also provides a weboptimised information marketplace and digital advisors to support companies especially smes in offering their products and properly presenting themselves at global scale initiated by biomaterial use cases the web application will match the suppliers and demanders through intelligent matching tools and stepbystep decision supportbiomatdb focuses on the creation of a label of biocompatibility to define the suitability of a biomaterial for use in a medical device or advanced therapy and to assist companies especially smes in choosing and facilitating market access for their products providing them a better guidanceall created technical systems and data processing methods are tested within existing open innovation testbeds and validation groups intuitive training manuals and compact online video tutorials support the use of the database marketplace and label appropriate business models are derived for securing the longterm sustainability of the created solutionsthe project has a significant impact on the findability and searchability of existing biomaterials at the paneuropean level it is an enabler for better uptake of biomaterials in future health applications and medical therapies
tracking epigenetic plasticity in circulating tumorderived dna to monitor drug resistance and guide personalized treatment in cancer patients

personalized therapy has revolutionized cancer care during the past decades but still suffers from frequent drug resistance and relapse a better understanding of drug resistance mechanisms and their timely tracking and prevention represent areas of urgent clinical unmet need while novel or clonally selected genetic lesions including dna mutations and copy number changes are well known causes of therapy failure emerging evidence supports a role for nongeneticepigenetic heterogeneity and plasticity in the selective process to escape the pressure of therapy in addition to unravelling the mechanisms controlling this epigenetic plasticity to identify new therapeutic strategies there is a growing need for novel tools to detect and monitor epigenetic heterogeneity and plasticity that currently do not exist epiguide aims to establish a bloodbased monitoring tool to trace epigenetic mechanisms driving drug resistance development during treatment i will develop and optimize the epiguide assay an analytic and computational pipeline that measures and monitors methylation and histone modifications of circulating cellfree dna that tumor cells shed into the blood plasma in a next step the efficacy of the epiguide assay to detect epigenetic tumor cell state changes will be validated in mouse models and patient samples the epiguide assay will also explore temporal and spatial dynamics of epigenetic switches related to drug resistance and look for associations with clinical outcome the longterm goal is to bring the epiguide assay into clinical practice for monitoring in clinical trials and personalized cancer care major impact of epiguide is expected for guiding patienttailored and disease stateadapted therapies with a specific benefit of earlier detection of evolving nongenetic tumor cell states leading to drug resistance