Dragon09/odtu_chatbot huggingface dataset:
structural exploration of gd3 gangliosidecovid spike protein interaction and siglec7 role in inhibition of viral infection

the present project focuses on deeply comprehending the molecular basis of glycan recognition events by key protein receptors at atomic level directly connected to processes related to immune response infection and cancer we will elucidate using nuclear magnetic resonance nmr and other biophysical techniques the binding preferences of the recognition event between gd3 ganglioside and the spike proteins of oc43 and hku1 human coronavirus hcov variants along with siglec7 the role of siglec7 in inhibiting the hcov viral infection will also be addressed this research will make a significant and direct contribution by unveiling the roles of glycosylation patterns and cell receptors in hcov infection mechanismsdr bermejo the applicant defended her phd thesis almost five years ago and was awarded a mscaif fellowship for the past three years during this time she has grown into an excellent researcher in chemical biology possessing practical experience in organic and peptide synthesis drug design lipid nanoparticles formulation cell culture and binding assays through the awarding of this fellowship she will join the lab of prof jesus jimnezbarbero the scientific director of the host institution cic biogune and leader of the chemical glycobiology lab he is one of the bestknown scientists in glycan research at the national and international levelsthanks to this action dr bermejo will consolidate her multidisciplinary scientific proficiency acquiring new competences in enzymatic synthesis and protein expression and purification and trend setting nmr concepts and techniques she will contribute to the host with her expertise in glycan and glycoconjugates synthesis and will bring her expertise in liposomal formulation setting up a microfluidics device within the group
symmetry and similarity

the goal of this project is to develop an algorithmic theory of similarity between graphs graphs are versatile models for representing complex data ranging from chemical molecules to social interactions dealing with graphical data and enabling modern data analysis techniques a fundamental task is to compare graphs and to measure their similarity preferably in a semantically meaningful and algorithmically efficient way however it is not clear at all how to achieve this in many application areas for example computer vision database systems and formal verification researchers have proposed often adhoc solutions to this problem tailored for the specific application but a general theory is missing we will develop such a theory in this projectsimilarity of graphs has many different facets we will identify the common core of different approaches to similarity but also exhibit their differences we will design methods for comparing different similarity measures and for obtaining a semantic understanding of similarity we will develop criteria for the suitability of various similarity measures for different types of applicationsa particular focus of our research will be on efficient algorithms for computing similarity there is little use in having a perfect similarity measure if we have no efficient way of determining how similar two graphs area classic algorithmic problem in this context is the graph isomorphism problem of deciding whether two graphs are structurally identical determining the precise computational complexity of this problem or of the equivalent problem of computing all symmetries of a graph is regarded to be one of the most important open questions in theoretical computer science building on recent progress we will design new algorithms breaking barriers towards a polynomialtime algorithm for the isomorphism problem
intangible and invisible interests concealed constituents and excluded electorates understanding the politics of absence

political representation is about presence and absence yet does advocating for the poor mean not advocating for the rich representing rural interests not representing urban ones and speaking for young people neglecting the concerns of the elderly political scientists have solid theories and empirics on who is made present in the political process but lack an understanding of the politics of absence who is made absent by whom how when and why amid an urgent crisis of representation in modern democracies this research uncovers crucial power dynamics who whom identifies inequalities how when why and addresses policy gaps what to do building on the pis record of leading research on political representation inconex fundamentally pushes the boundaries of the field it is the first to develop a comprehensive conceptualization of representative absence it identifies two agents of absence representatives and citizens and two types of absence intentional and unintentional representatives can intentionally exclude groups from the electorate eg migrants but also unintentionally overlook them because their interests are intangible eg future generations constituents may deliberately conceal themselves eg the rich or their interests remain invisible because they are unaware of their group belonging eg those in need methodologically inconex develops and applies qualitative and computational social science techniques to map presence and absence in national and eulevel parliamentary debate over time to understand the mechanisms that shape different representative absences inconex uses indepth interviews with members of national parliaments mps and the european parliament meps and focus groups with their constituencies based on this extensive data collection the project builds a comprehensive theory of representative absence and the politics behind it its manifestations causes and implications
dissect cargo selectivity in autophagy

macroautophagy is an evolutionarily conserved catabolic process induced to preserve cellular homeostasis under conditions of stress such as nutrient starvation upon autophagy activation cellular components are engulfed by autophagic vesicles which then fuse with lysosomes for substrate degradation despite the unquestionable physiological and medical relevance of nutrient and pharmacologicalinduction of autophagy in human health the precise identity of autophagy substrates and the rules governing their selection in vivo are largely unknown autoselects goal is to provide a framework to identify physiologically relevant autophagy substrates in different organs and to determine the signaling events that govern their selection this proposal relies on 1 newly generated mouse models to genetically manipulate autophagy and key autophagy regulators 2 tools to quantitatively measure autophagy substrate delivery to lysosomes and subsequent degradation in vivo and 3 omic technologies and bioinformatic tools to dissect the molecular events that govern substrate selection in response to diverse stimulations in a tissuespecific manner in addition autoselect will develop new strategies to modulate selective autophagy and test their therapeutic relevance in connective tissue disorders characterized by the intracellular accumulation of misfolded procollagen molecules autoselect has the potential to discover new rules governing cargo selectivity during autophagy and hence to provide new links between energy metabolism and cellular quality control that might be exploited for autophagy modulation to treat human diseases
environmentally friendly copperengineered nanoparticles innovative fungicide to reduce copper accumulation

in modern agriculture the extensive use of traditional pesticides requires a reevaluation to address the dual challenge of increasing food demand and sustainability historically copperbased fungicides have been crucial in pest management aiding farmers in the control of fungal or bacterial diseases across a wide range of crops additionally evolving eu regulations are imposing stricter limits on copperbased pesticides use driven by health and environmental concerns linked to cu accumulation and in line with the european green deal aim of reducing pesticide usage by 50 by 2030 this presents a significant challenge to farmers who must simultaneously manage pests and respect restrictions especially in vulnerable regions and crops currently few viable alternatives for reformulating cubased pesticides are availableecofun proposes a new material based on bioinspired and biocompatible nanoparticles engineered to incorporate copper with the aim to deliver a more efficient and sustainable fungicide moreover ecofun will comprehensively address the efficacy efficiency and toxicity of the material through in vitro and in vivo experiments including field tests the overarching goal is to reduce copper concentration by a minimum of 50 compared to commercial counterparts the objectives include the synthesis of the new material and its comprehensive characterization encompassing the study of cu release in water soil and foliar adherence fungicidal activity will be assessed in vitro against three different fungi commonly treated with copperbased fungicides alongside with cytotoxicity evaluations on target cells subsequently in vivo experiments in field and under controlled conditions will be performed to validate product efficiency and will involve measuring residue levels in fruits and soil and impacts on harvest this proposal enables the development of a novel pesticide class using the same technology owing to the broadspectrum action of copper
longtrec the longreads transcriptomics european consortium the next generation transcriptome biology revealed by single molecule sequencing technologies

thridgeneration singlemolecule longread sequencing technologies such as nanopore and pacbio are revolutionizing transcriptome research and are expected to outcompete shortreads sequencing for gene expression studies however technical and bioinformatics challenges exist to the realization of this full potential in this project we will train a team of excellent doctoral candidates to become the european and world leaders in the field of long reads transcriptome sequencing lrrnaseq the team will address three fundamental aspects of current barriers to the progress that these technologies face a obtaining highquality sequencing and preprocessed data from improved library preparation protocols and bioinformatics preprocessing methods b establishment of benchmarked analysis pipelines for the application of these approaches to genome annotation and isoform usage analysis both in bulk and singlecell samples and c extension of long reads to multiomics applications for the study of regulatory biology additionally dc will follow an intensive and comprehensive training program composed of scientific and soft skills training including activities related to pressing societal challenges such as climate change diversity and inclusion and the ethics of science students will complement their education through secondments in top european laboratories and companies as well as through exposure to a network of worldwide experts in the field of rna research
a novel immunooncolytic virusbased dendritic cell therapeutic cancer vaccine

following decades of development therapeutic cancer vaccines are beginning to gain momentum in demonstrating therapeutic effects and they represent a particularly promising approach the aim of therapeutic cancer vaccines is to stimulate immunity against tumor antigens usually through the use of whole cells peptides or nucleic acids ie mrnas dendritic cell dc based vaccines represent particularly interesting candidates for therapeutic cancer vaccine products due to their ability to crosspresent antigens to t cells thereby driving adaptive immune responses through induction of antigenspecific cytotoxic t lymphocytes despite the potential of dcbased cancer vaccines several major limitations have hindered their success in clinical studies these limitations include insufficient ex vivo maturation of dcs and challenges in selecting optimal tumor antigens to target the aim of dcanvax is to develop a novel oncolytic virusbased dendritic cell vaccine approach for systemic therapy of solid cancers we propose that the use of a highly immunooncolytic virus as a mechanism to lyse tumor cells exvivo will lead to the release of the entire tumor antigen library as well as a cocktail of danger signals in response to the virus infection by applying this highly immunogenic lysate to autologous dcs an optimized and personalized dc vaccine can be generated this method overcomes the major challenges that have been encountered by dc vaccine approaches in the clinic by providing a potent mechanism of dc maturation and activation while simultaneously exposing the dcs to the complete repertoire of tumor antigens that are specific to the patient leading to potent and broad tumorspecific immune responses against the cancer this approach can be developed for multiple solid cancer indications and combined with other immunotherapy approaches for potentially synergistic therapeutic effects
performing arts in a new era ai and xr tools for better understanding preservation enjoyment and accessibility

premiere seeks to modernize the performing arts focusing on dance and theater by using advanced digital technologies to support the whole lifecycle of performances from their production and curation by both amateurs and professionals to their delivery and understanding from the audience as well as their analysis and interpretation by art scholars in doing so premiere will contribute to the following general goals1 broaden accessibility to audiences that cannot attend live performances due to physical distance international audience health reasons eg elderly reduced mobility immunocompromised or economic reasons low income 2 enhance the understanding of present and past performances by audiences with diverse cultural social historical and educational backgrounds 3 enrich the creative process by adding new elements dimensions and capabilities offered by advanced digital technologies while enabling international and therefore intercultural collaboration 4 increase the visibility of performances by supporting both spectators in searching for relevant content and producerscurators in communicating their work to the most relevant audiencesaccordingly the overall objective of premiere is to develop and validate a comprehensive ecosystem of digital applications powered by leading edge ai xr and 3d technologies designed to fulfill the needs of diverse enduser communities involved in the main stages of the lifecycle of performing arts productions including amateur and professional performers performance art producers and curators performance art spectators and scholars
capturing the evolution of a transformative cognitive capacity the case of vocal learning in dogs

modifying the vocal repertoire using an external auditory model is a prerequisite for speech production but how fullfledged vocal learning evolved in humans uniquely among primates is still unclear integrating recent evidence from ethology and genetics i hypothesize that selection for tameness alloparental behavior and cooperativity in concert were the key driving processes for the emergence of human vocal learning and speech i propose that dogs constitute an ideal model to test this hypothesis as they underwent a strong selection for tameness and cooperativity with and often alloparented by humans at the same time their vocal behavior markedly changed compared to their closest relatives the wolves dogs have control over their vocalizations suggesting the presence of some primordial forms of vocal learning abilities combining bioacoustics ethology genetics and brain imaging k9voclearn thus sets out to reveal the mechanisms underlying the emergence of vocal learning capacities in dogs specifically i test how genetic similarity with wolves particular gene variations of breeds extreme domesticationsyndrome phenotype and individual cooperativity affect abilities and neural processes involved in vocal learning wp1 utilizes citizen science bioacoustics and machine learning approaches to develop a comprehensive catalogue of dogs vocal repertoire wp2 seeks evidence of vocal usage and vocal production learning including vocal imitative abilities in dogs while also testing neural and vocal control mechanisms involved wp3 tests dogs vocal coordination abilities in con and heterospecific interactions both on the behavioral and the neural level in early intervention experiments wp4 longitudinally examines vocal ontogeny and the role of the acoustic environment in vocal flexibility breaking ground on capturing the emergence of vocal learning in a cooperative domestic species k9voclearn will provide new insights into human language evolution
pandemic literacy and viral zoonotic spillover risk at the frontline of disease emergence in southeast asia to improve pandemic preparedness

the pandasia project addresses the call by providing a framework that will increase our understanding of the biology of viruses with emerging infectious disease potential and their interaction with humans animals and the environment and translating this understanding into proactive preventative actions such research is crucial for providing evidencebased knowledge and tools for better integrative public health measures for local and national actors we will develop models to identify and predict drivers of disease emergence which will be evaluated with real world data refined and used to develop health and pandemic literacy intervention strategies that reduce risk of future viral emergence thereby reducing the burden of zoonotic spillover to human health since pandemics arise at a local level it is important to engage with local communities and health environment and agriculture authorities to improve their health and pandemic literacy to ensure adequate preparedness and vigilance for future spillover events and human animal and environmental health threats understanding spillover dynamics and threats at local levels in emerging disease hotspot areas such as southeast asia is important for the european union to improve preparedness and the ability to respond quickly to health emergencies and crossborder threats the identified drivers are likely generalizable to other emerging infectious disease hotspots in the region and if successfully implemented in se asia could be adapted to other hotspot regions such as in south america and africa
skill performance estimation from cardiac signals

in any learning situation be it math education language learning or sport training different learners have different abilities motivations and capacities at any given time thus an optimal learning can only be achieved with personalized training solutions dynamically adapted to each learners cognitive andor physical states the scientific literature showed that such states could be estimated from cardiac signals cs in erc poc spears we thus propose to redefine consumer training apps by enabling them to propose personalized and adaptive training plans according to an estimation of their users cognitive andor physical states from their cs measured with consumer grade sensors eg smartwatches the outcome of erc project brainconquest should enable us to tackle this challenge indeed in brainconquest we explored such a personalized training approach for users of braincomputer interfaces bci in doing so we developed machine learning ml and signal processing sp algorithms to estimate users mental states and predict their upcoming performances from their brain and physiological signals including cs in spears we thus aim at adapting improving and assessing brainconquest ml sp algorithms initially designed for bci performance prediction from research grade brain and cs sensors in the lab to predict cognitive and physical performance from consumer grade cs sensors in the wild such algorithms could be used for adaptive training apps in education cognitive training for healthy aging or sport training we will then explore a commercial application of this technology for sport training in particular in collaboration with the startup flit sport which sells an app for providing personalized training exercises for endurance sport athletes based on their past performances and ml by integrating our csbased prediction into flit sport training app we should design optimally personalized training solutions for millions of runners worldwide
advanced biopsychosocial simulation for harmful adolescent behaviour

we the lifecourse team have been developing a theoretical framework that combines biological social and psychological data into unified concepts over the past five years we now have a combined biopsychosocial data framework that can be used to uncover and understand biosocial causal pathways to adolescent behaviour including selfharm suicide substanceuse and delinquancy to our knowledge we possess the only linkage of highquality biological environmental and social data across several developmental stages of life to matched longitudinal data n4000 in the proposed proof of concept we propose to build a computational infrastructure on this framework creating a fully digitized toolkit that can benefit from digital automation communication and artificial intelligence methods at the center of this strategy is a new detailed biopsychosocial computer simulation model this first stage of development a proof of concept will already bring our data beyond current capabilities we see this work as a necessary next step taking the lifecouse project beyond the stateoftheart once again with several fundamental implications and broad industrial societal and scientific impact
advanced safer materials and high performing cells for the next generation of liion batteries suitable for mobility applications

sageli aims to develop safer materials and cells that meet batteries europes 2030 targets for safety performance lifetime sustainability and cost including eucar level 3 sagelis new cathode active materials cam contain no co they are based on inherentlysafe mnrich oxides additional safety will be ensured by reducing cams active surface area and an innovative coating sagelis safer binders target better adhesion lower swelling and better processability to prevent safety issues from cracking and inhomogeneities sagelis flameretardant electrolytes target stability at high voltage sagelis flash thermal test will predict safety from just a few grams of novel materials eliminating the need for upscaling to determine safety sagelis state of safety early prediction tool will predict eucar level during battery operation and ageing sagelis pouch cells will be demonstrated at 25 mah and 5 ah scale and all sageli materials and cells are fully scalable and recyclable via existing processesthe consortium gathers i 5 top public research organisations whose previous results have been used in commercial batteries cea fzj cnrs cid cice ii 7 companies committed to bringing sageli to market in existing and future factories across the eu for sales to customers worldwide umicore for cam arkema for binder and electrolyte ccell for cells power4future for batteries fincantieri for electric ships and thales for electric aircraft equipment and ii eu electromobility association averesagelis raw material cost is 23 lower than nmc811 sagelis market penetration in 2030 is expected to generate 14 bn of revenues for sagelis eu partners by 2030 and 202bn in 2035 its materials are expected to be used in 40gwh of batteries produced in 2030 600gwh produced in 2035 and 700 gwh produced in 2040 providing a cumulative 19mt c02eq savings vs nmc811 preliminary lca also predicts reduced water use other emissions and landuse vs nmc811