Dragon09/odtu_chatbot huggingface dataset:
dissecting transcription termination and rna sorting in mycndriven tumors

the inherent stresses arising from oncogenic transcription can be counteracted by premature termination which removes rna polymerase ii rnapii from dna and enables the degradation of aberrant nascent rna by the nuclear exosome when overexpressed the mycn oncoprotein fuels the growth of aggressive tumors by globally binding active promoters and invariably enhancing rnapii transcription however i have made two key discoveries showing that the function of mycn is not restricted to gene activation firstly mycn interacts with the exosome and prevents conflicts of rnapii with replication forks to avert lethal dna damage secondly mycn globally leaves promoters and directly binds nascent rnas which are then steered to the exosome for decay rna bound mycn also forms large protein complexes comprising the ars2 transcript sorting protein rnapii and termination factors these findings fundamentally expand mycn function as they reveal that the oncoprotein exists in competing dna and rnabound states with the latter fulfilling a heretofore unknown rna degrading rolein tersor we will investigate whether rnabound mycn controls termination and rna sorting processes to counteract aberrant transcription and thereby suppress dna damage and immune recognition in neuroblastoma cells firstly we will map mycn rnabinding domains and test the effects of rnabinding loss in cells and neuroblastoma mouse models secondly we will explore mycndriven regulation of termination and rna sorting machineries thirdly we will investigate how the exosome and mycn mitigate dna damage and the accumulation of immunogenic transcripts finally we will study the structure of mycns interface with exosome targeting complexescollectively we will use cuttingedge approaches to profoundly further our understanding of mycn oncogenic function by studying how the oncoproteins newly discovered ability to bind rna maintains the genomic integrity and immune evasion of aggressive tumors
eic communities building synergies and communities around eic portfolios to raise the impact of the eic deep tech research

the projects main objective is to increase the visibility and impact of eic portfolios of projects through the cocreation of diverse online and physical activities materials and tools that will be implemented in three thematic communities of practice cop green digitalindustryspace and health those formats will prompt the creation of multidisciplinary communities around selected portfolios and will stimulate interactions and synergies among projects inside and across thematic and eic challengedriven portfolios while providing the eic programme managers eic pms with sustainable measures and community model structures to build networks around portfolios and develop new visions for future technologies and innovation breakthroughs eic communities will work closely with the eic representatives and eic pms through inter alia cocreation of new engagement practices and codeveloping policy recommendations for ri in future deeptech community and synergy building activities will be codeveloped with cop stakeholders and implemented inside and across the three cops to ensure crosssectoral and multidisciplinary interactions between eic open and challengedriven portfolios and projects those activities will include i pitching sessions ii matchmaking between projects iii organisation of portfolio days and online interactive academies iv thematic workshops and v relaunch of the future tech week as a result a wider community which goes beyond the selected portfolios will be established in each cop the outcomes of the activities carried out in cops will be translated in a set of highimpact communication materials that will aim at showcasing the added value of the portfolio ecosystem and benefits stemming from portfolio interactions sustainability and replication plans will be produced with a view to ensure effective pathways for exploitation of project results and to stimulate synergies with other portfolios not covered by the project
a new science of parenthood

how does life how does a person change when one becomes a parent are new parents really lost as close friends are they actually better listeners because they have learned to put themselves second why are some parents caring and attuned to their childrens needs when others struggle it is surprising that researchers have so far overlooked the transition to parenthood as a driver for socialdevelopmental change and have hardly zoomed in on parenting as social behaviour like any other social behaviour substantial individual differences can be found between parents but research has neglected various likely determinants par2 changes this by 1 elucidating whether indeed parents develop differently in the social realm compared to people without children and 2 using the methodological tools of social development research to test why parents differ in the ways they parent to achieve this we compare parents and people without children on socialemotional skills and social behaviour using longitudinal cohorts that span multiple decades across adolescence and adulthood wp1 how parenting behaviour as a unique social behaviour in adulthood is being shaped under different circumstances and in different people is central in work packages 24 we use longitudinal social networks wp2 multiplegeneration cohorts wp3 and social genome data wp4 to understand the influence of 1 family partner friends and other parents 2 social relationships prior to becoming a parent and 3 own partner and child genes on parenting par2 significantly innovates research on social development by explicitly conceptualizing parenthood as a crucial transition and parenting as social behaviour viewing parenthood as driver of developmental change and parenting as social behaviour means that par2 generates a novel direction in research and will result in significant theoretical and methodological innovation to our understanding of variation in human development
innovative point of care for combined screening of infectious diseases application to prevention of mother to child transmission

by essence diagnostic procedures intend to look for a certain panel of pathologies according to the risk factors or the symptoms of the patients to prevent further contaminations this approach is particularly crucial in the context of concomitant epidemics affecting the same kind of populations such as hiv and viral hepatitis and syphilis despite the huge effort made on hiv diagnostics its main coinfections viral hepatitis and syphilis has been widely ignored particularly in ssa where less than 95 of infected people know their status who 2021 such underdiagnosis lead 45m new infections yearly over the world and 18m deaths with at least 32 occurring in ssa those new infections in ssa are mainly due mothertochild transmission due to insufficient combined testing of pregnant women the other cause is due to the present complexity of the testing algorithm to orient hbv pregnant women with active viremia toward treatmenta fully portable autonomous multiplexed point of care device 3kg 8h autonomy has been developed it is capable to perform 4 to 8 immunoanalyses in parallel in less than 15mn filing using 50l of capillary blood a first panel has been developed targeting hiv 1 2 viral hepatitis b and c the goal of this project is first to evaluate the kit in ssa to see how the technology behave in different environments temperature humidity and with blood presenting multiple other infections magia ibc solution will be thus evaluated in lab and in the field among pregnant women to assess the performance and its impact on the prevention of mother to child transmission pmtct particularly in region with low hiv prevalence where no testing is performed at all meanwhile a syphilis screening assay will be implemented and evaluated to better meet who triple elimination screening alat and hbeag assay will be developed to propose a test and treat approach for hep b and further decrease mother to child transmission of hepatitis b
toward a new understanding of learning in the brain dynamic parallel circuit loops for complex learning

the brains ability to learn is arguably its most exceptional capacity learning in biological brains far surpasses machine learning and requires much less training how does the brain accomplish this why is biological learning still better than the most advanced machine learning algorithms to date according to the standard model of rewardbased learning in the brain a single error signal is broadcast from the dopamine system and used to update the entire network implementing a simple form of reinforcement learning however the standard model fails to predict several recent experimental findings leaving open the question of how learning is implemented in the brain in this project i propose a new theory of how the brain learns learning is implemented by multiple dopaminebased learning systems working in parallel circuit loops these loops relay partial error signals to specific processing areas and permit independent evaluation of the value of different features in the external environment as well as the internal state enabling learning of complex tasks with multiple relevant features the loops are engaged dynamically according to the demands of the task enabling the system to be flexible for learning a wide variety of behaviours of varying complexity the presence of multiple dynamic parallel learning loops might enable the ability to generalize learning which is currently the hallmark of biological intelligence we will use stateofthe art techniques under the framework of our theory to elucidate basic mechanisms underlying the functional circuitry of the learning system aim 1 how it operates under different behavioural dynamics aim 2 and what algorithm it implements aim 3 success of this project will enable a novel understanding of how the brain learns complex tasks as well as pave the way for the development of new braininspired deep reinforcementlearning algorithms
interrogating rnaprotein interactions underlying sarscov2 infection and antiviral defense

the global covid19 pandemic underscores the need to better understand its causative agent sarscov2 and the various other emerging viruses threatening human health like many human viruses sarscov2 utilizes rna as its replicated genetic material and its template for translating the viruss proteins ongoing research into sarscov2 and other rna viruses has largely focused on understanding the function of their encoded proteins revealing key roles in host cell entry viral replication and immune suppression in contrast little is known about the set of viral rnas and how they interact with host machinery as part of a viruss replication cycle in infected cells my group discovered a large collection of viral and host proteins that bind the genomic and subgenomic rnas of sarscov2 during infection this collection provides an excellent starting point to work toward the goal of my proposed erc starting grant project decoding how these interactions shape the viral rna life cycle and contribute to antiviral defense mechanisms my overarching hypothesis is that sarscov2 dynamically modulates rnaprotein interactions in the host to facilitate functions of genomic and subgenomic viral rnas at different stages of the replication cycle to test this hypothesis i have devised three research objectives 1 decode mechanisms of hostmediated control over the life cycle of sarscov2 rnas 2 map with temporal resolution which host cell proteins engage each sarscov2 rna type 3 elucidate the role of host proteins that moonlight as rna binders in sarscov2 infections if successful this project will identify novel pro and antiviral host factors in sarscov2 infections and reveal underlying rna regulatory mechanisms in turn these insights will provide an rnacentric view of viral infections and identify candidate factors and pathways as therapeutic targets to treat viral diseases
distributed artificial intelligencedriven open and programmable architecture for 6g networks

as the world moves from the 5g towards the 6g era the mobile communications fabric needs to be architected differently to accommodate the emerging stringent requirements of innovative extreme futurelooking applications that cannot be served by existing 5g mobile networks heading towards the next decade when 6g is expected to be widely deployed 5g application types will be redefined by morphing the classical service classes of urllc embb and mmtc and introducing new services adroit6g is an sns ju project supporting the ecs 6g policy by implementing the first phase of the 6g sns roadmap towards the evolution of a 6g architecture adroit6g proposes disruptive innovations in the architecture of emerging 6g mobile networks that will make fundamental changes to the way networks are designed implemented operated and maintained such innovations include i aimlpowered optimizations across the entire network for high performance and automation ii transforming to a fully cloudnative network software which can be implemented across a variety of edgecloud platforms including nonterrestrial networks with security built integrally into the network user plane iii software driven zerotouch operations and ultimately automation of every aspect of the network and the services it delivers adroit6g innovations functionalities and performance will be validated through 3 representative extreme 6g use cases ie holographic telepresence industrial iot collaborative robotsdrones in corresponding pocs over five wellestablished 5g testbeds which will be upgraded to support adroit6g innovations and architectural elements our 13partner consortium is driven by industry heavyweights from eu telecom and ict industries and renowned research organisations with a vast expertise and experience in 5g and beyond technologies most of adroit6gs consortium partners have participated in 44 previously funded 5gppp projects and in several 5gppp working groups
nextgeneration multitargeted crispr genetic toolbox uncovers hidden breeding traits

the need to accelerate crop breeding programs has never been greater as the world population is exponentially increasing the climate is changing and resources are limited breeding relies on genetic variation however it is impossible to alter many phenotypes by introducing genetic variation in a single gene due to large gene families with high functional redundancy for example in tomato and rice 80 of coding genes belong to multigene families therefore in many cases mutating multiple gene family members is required to uncover hidden traits that are important for plant resilience and food security currently there is no approach or technology that can dig into the hidden genetic redundancy at a genomescale level unbiased forward genetics and reveal masked agricultural traitsto address these challenges we developed the multicrop technology the first genomescale multitargeted crispr libraries in crops we have constructed validated and patented the approach in arabidopsis tomato and rice demonstrating that the multicrop technology can uncover hidden genetic traits and is the future of plant breeding programsnot only is this the first demonstration of a largescale multitargeted crispr technology in plants but the unique approach also overcomes functional gene redundancy under any given conditions such as the response to drought pathogen fruit size and more multicrop can be applied to most crops and all breeding traits therefore we expect the new toolbox we develop here to transform how scientists and breeders perform geneticswe believe that multicrop is a gamechanging technology unlike any other technology available today it enables uncovering hidden phenotypic variations moreover its high throughput nature of maximizing genetic diversity will enable a tailored fit for specific farmers markets and growth conditions enhancing productivity and farmer profitability
research capacity building and upskilling and upgrading the research team in nubip ukraine on agroecological intensification for crop production

the project objective is to strengthen the research capacity of nubip team and create a networking platform for best practices about agroecological intensification to uplift the scientific excellence and translational skills of nubip teamthe specific objectives are o1 enhance research skills for stimulation of scientific excellence and innovation capacity of nubip in ukraineo2 exchange of knowledge and best practices through joint proposals publications and visits to enhance scientific reputationo3 implement field trials on combined effects of biostimulant application and cereallegume intercrop on productivity and provision of ecosystem services o4 communication dissemination and exploitation of project outputs on agroecological intensificationthe main results are1improved research competence and profile of 5 researchers from the coordinating nubip team 2exchange of best practices to upskill and upgrade researchers from nubip3productivity and ecosystem service assessment of combined effects of biostimulants applications and cereallegume intercrops 4synthesis of best practices on agroecological practices for dissemination and outreach ecotwins will enhance the research competence and excellence as well as management and translational skills of nubip coordination team by strategic and progressive transfer of knowledge and skills from the three eu partners ucph slu esci furthermore this project will strengthen nubip existing networks with other ukrainian and international institutions by widening its research outlook and network with the support of eu partners as a test bed and model sustainable cultivation site ecotwins will also have an explorative agroecological research as a common theme across the wp activities using local resources this will contribute to boosting the research in agroecology disseminatee the sustainabilitylinked results and awareness to the scientific community smes and general public in ukraine
it takes a village an interdisciplinary community neuroscience approach to characterize multigenerational interactions

while many of our daily interactions involve people of different ages little is known about how the human brain supports naturalistic communication between generations intercom combines laboratory research with realworld experimentation and intrapersonal analyses with interpersonal measures eg braintobrain synchrony to better understand multigenerational communication both within and beyond family contexts do agerelated differences in brain rhythms inhibit conversational flow how do listeners process speech produced by children or older adults can intergenerational miscommunications be partly attributed to the fact that children and older adults are less likely to predict what others are about to say how can we overcome implicit neurobehavioral culprits of misalignment curiously while laboratory studies have shown that there are significant differences in how children adults and older adults process nonverbal information these and related questions remain largely unanswered intercom will test a novel community neuroscience approach one that flows from the real world to the lab and back we will collect brain body and language data from socioculturally diverse groups of children adults and older adults during realworld storytelling events that are codesigned with community partners the data collected during these events will then inform and constrain subsequent laboratory studies and vice versa as such intercom leverages the benefits while offsetting the downsides of both naturalistic observations and experimental control and will innovate on and combine laboratory and realworld data collection stimulus development and data analysis in a truly reciprocal mannertogether intercom will tread previously uncharted territory in both intergenerational and realworld neuroscience research to generate insights and tools to investigate and improve communication between and across generations
its about time towards a dynamic account of natural vision

the visual world around us is a source of rich semantic information that guides our higherlevel cognitive processes and actions to tap into this resource the brains visual system engages in complex intertwined computations to actively sample extract and integrate information across space and time surprisingly however the integrative nature of vision hardly plays a role in the way we approach it in experimentation and computational modelling instead higherlevel vision is commonly treated as a largely bottomup categorization process time proposes a new approach it will allow us to study vision in a more natural setting and as a process that is a geared towards semantic understanding instead of labelbased categorisation b naturally intertwined with active information sampling and c expanding across multiple timeframes including network dynamics that unfold within and across eye fixations this will be accomplished by an ambitious threestep work program that combines cuttingedge noninvasive human brain imaging performed while participants visually explore tens of thousands of rich humanannotated natural scenes the development of novel multivariate analysis techniques and largescale computational modelling using a new bioinspired deep learning framework for active vision that closes the sensorymotor loop using this interdisciplinary approach time will establish for the first time when where and how visual semantic understanding emerges in the brain as it actively samples and integrates information from the world in a continuously updating and dynamic decision process these groundbreaking developments both in experimentation and deep neural network modelling build towards a fundamental paradigm shift in how we study model and understand vision yielding new insights into its complex neural processes operating in more natural ecologically valid conditions as well as a closer alignment between biological and synthetic vision
maximising impact and accessibility of european climate research

maia applies to the subtopic a of the horizoncl52021d10103 topic maia will act as an impact multiplier by providing social structures technological and outreach activities to accompany potentiate and help maximise the impact of climate research projects funded under horizon europe maia constitute the response from a group of coordinators and core partners from seven h2020 precursor projects in climate change research bingo brigaid clarity connecting nature driver placard and resccue in these projects driven by the ecs advice to identify synergies and spark collaboration we liaised and detected a clear need for increased connectivity and a more robust approach to synergies management as means to unlock more meaningful and impactoriented interactions maia pivots around connectivity as a key enabling factor for an effective outreach therefore we are envisioning specific actions for enhancing i the connectivity of existing communities consolidation and activation of a paneuropean community of problem owners solution providers and enablers ii the connectivity of knowledge and technological infrastructure creation of the maia portal and iii the connectivity of the eu climate research coordinating an eu climate change research cluster communication and dissemination activities of the eu climate change research projects will be reinforced and amplified by our active outreach campaign aiming towards the democratisation of climate knowledge moreover maia develops a comprehensive crossproject exploitationsupport programme maia also addresses awareness raising the strengthening of the sciencepolicy and sciencecivil society interfaces and the support for climate action and sustainable behaviours through several actions dealing with active dialogue supported through community engagement activities and the use of ssh