Dragon09/odtu_chatbot huggingface dataset:
networkbased prediction of spreading of tau pathology in alzheimers disease implications for clinical trials

alzheimers disease ad has farreaching societal and economic consequences emphasizing the urgent need for effective treatment solutions however to date over 99 of ad clinical trials have failed inadequate patient stratification is a key contributing factor due to the enormous clinical and pathological heterogeneity in ad ad is characterized by the aggregation of pathogenic proteins with tau aggregates being a key player taurelated pathological processes lead to synaptic dysfunction neurodegeneration and eventually dementia it is thus of paramount importance to decipher the mechanisms of tau deposition and spread emerging evidence suggests that tau tangles accumulate along specific macroscale brain networks lending support to the hypothesis of tau spreading through communicating neurons networkbased spreading models have provided insights along this line i aim to contribute to a leap in networkbased modelling of tau spread by developing a novel patientspecific network model coupled with a diffusion framework to study tau spread the model will be individualised in contrast to previously used groupaveraged designs and will be hybrid in two respects first the model will integrate global functional and structural connectivity second it will integrate data on regional vulnerability of brain tissue for generating tau based on gene expression profiles from an atlas results will provide mechanistic insights into spread of tau the model and its subtypes will then be used to define an optimal sample stratification scheme to enhance patient selection in clinical trial designs importantly designs and analysis methods developed as part of this action will be released as a unified opensource software package to allow replication expansion and increased impact altogether this proposal will provide novel scientific outcomes and will provide me with critical training in scientific and transferable skills that will largely advance my career
sustainable and digitalized gigafactory for battery production with madeineurope machinery

europe needs to consolidate efficiently its battery manufacturing value chain for largescale cell production to enable a sustainable and ecological transition minimizing the associated emissions optimizing the battery performance and cost and ensuring circularity emerging gigafactories will enable increasing eu cell battery production capacity from the current 60 gwh to 900 gwh to meet the eus 2030 targets and ensure eu prosperity for this purpose it is essential to promote eubased machinery and providers to gain technological and industrial independence it is also needed to integrate the local energy and materials supply chains to build a seamless efficient and dynamic local ecosystemgigabat aims at strengthening the eu cell manufacturing industry and its value chain by engaging its key players for the development of gen3b liion batteries this will require the development of new energyefficient cell manufacturing machinery adapted to gigafactory needs as well as the validation in pilot plants to ensure correct functioning in real environments optimization of gigafactories via sector coupling is also targeted promoting sustainability improving carbon footprint and energy management and digitalizing madeineurope machinery new gigafactory design also including logistic and recyclability targets the whole digitalization of the production plantgigabat brings together existing suppliers ofthe battery value chain and will incorporate new companies to the market it also contributes to integrate actors delivering cost competitive and optimized production machinery the consortium involves academia technology centres equipment manufacturers experts in lcalcc recycling logistics and digitalization and two cell manufacturers volkswagen via its affiliated company powerco and verkor the eu battery ecosystem will also be reinforced with cooperation activities between the consortium and a stakeholder group comprising several gigafactories
quantum mixtures in flat and curved geometries

ultracold quantum gases allowed to realize experimentally several paradigmatic models of theoretical physics such as nonrelativistic bosons and fermions with zerorange interactions one of the issues driving the last decades of research on quantum gases was understanding how from these fundamental models macroscopic structures and quantum phenomena emerge along this direction the most recent advances of the field include the discovery of dilute quantum droplets and supersolidity in gases with longrange interactions a great deal of experimental and theoretical attention is now directed at identifying novel phases of multicomponent bose or fermi mixtures with different compositions different types of interactions and in various geometries the quantiflac project will analyze lowdimensional bosebose and fermifermi mixtures of ultracold quantum gases with the goal of engineering minimallycomplicated microscopic models displaying exotic manybody effects we plan to study emergent inhomogeneous structures in bosonic mixtures and selfbinding in fermionic mixtures aiming to determine whether this type of phenomena can be driven exclusively by structureless zerorange interactions we will also investigate bosebose mixtures confined in various curved geometries to understand how the interplay of curvature boundary conditions and topology regulates the macroscopic quantum behavior of the system this theoretical project has tight connections with various established experimental groups its results will raise immediate interest and have farreaching implications for the quantum simulation of matter with ultracold atomic mixtures and for the fundamental understanding of macroscopic quantum aggregates
bridging the gaps in nanosafety for animalfree prediction of adverse outcomes

the current animalbased testing of materials short and longterm health effects is slow expensive and has limited capacity which stifles the development of new nanomaterials and hinders efficient regulation of the market to enable costefficient highthroughput screening required for industry and regulation we here propose to shift the focus of nanosafety testing from late endpoints to early key events kes leading to adverse outcomes aos as such tests can only be based on mechanistic understanding we need to close the knowledge gaps and match kes in vitro and in vivo which the nanopass consortium is in a unique position to provide our key bridging methods are intravital in vivo microscopy quantitative timelapse in vitro microscopies and automated identification of the modes of action ie ke relationships with proprietary in silico algorithms supported by datamining of the worlds largest in vivo database and singlecell omics data and computational modelling of structurefunction relationshipswith this toolset we aim to 1 develop new in vitro systems that can replicate early kes leading to aos related to inhalation of nms 2 identify methods to track the dynamics of these kes 3 develop quantitative in silico models to predict aos and 4 calibrate the in vitroin silico ao predictions against in vivo data for 40 wellcharacterised benchmark materials finally we will 5 validate the ao predictions on several families of industrial materials sampled from different stages of their life cycle and then propose reliable testing protocols and guidelines to oecd and ecvam with the consortium of 6 complementary research laboratories sme as technology developer and provider material producing company as potential enduser and an industrial association to facilitate dissemination nanopass covers the whole value chain of the new animalfree safety testing technology and thus paves the way towards safe adoption of new nanotechnologies
modular industrial largescale quantum computing with trapped ions phase 1

the millenion project focuses on modular scalability and accessibility aspects of trappedion quantum computers qcs tackling the transition from current laboratorybased experiments to industrygrade quantum computing technologies with technology readiness level above 8 the envisaged platform which builds on top of the rackmounted 50qubit qc demonstrator realised in the flagship project aqtion will offer a quantum advantage for various usecases in a fully automated 100qubit iontrap qc our consortium will aggressively pursue disruptive development goals a changing from onedimensional strings of ions to twodimensional arrays will allow us to support up to100 qubits b consistently encoding quantum information in the electronic ground state of ion qubits enables error rates smaller than 103 per gate operation compatible with faulttolerant error correction and c implementing parallel gate operations will enable larger algorithmic depth the new demonstrator devices will be equipped with a hardwareoptimised firmware suite and will be integrated in a highperformance computing hpc infrastructure to realise a qchpc solution supporting standardised interfaces to various quantum software development kits with cloud accessibility finally we will pave the way to scalable quantum computing by introducing longrange connectivity between quantum processors we will combine these quantum information techniques with trap fabrication and packaging technologies which integrate optical and electronic components to achieve stable longterm operation in an industrial environment these scientific and technological advances will provide a powerful hardware platform that can be exploited by partnering quantum software within this project the iontrap quantum computing platform will be extended to push towards 100 qubits realize faulttolerant performance levels and pursue the demonstration of a european quantum advantage
finetuning t cell networks of exhaustion by synthetic sensors

cell and gene therapies offer a massive paradigm shift from current treatment options and hold the potential to cure previously untreatable diseases naturallyoccurring and genetically modified t cells with chimeric antigen car or t cell receptors tcr have demonstrated remarkable curative capacities against advanced hematologic malignancies but have shown limited efficacy in treating solid tumors major barriers hindering the full antitumor potential of t cells are the immunosuppressive signals and persisting antigenic stimuli within the tumor microenvironment that inexorably push t cells into a highly dysfunctional state called exhaustion herein we propose a groundbreaking technology tfitness which will enable antitumor t cells to become refractory to exhaustion at the core of the platform are microrna mirnabased synthetic logic circuits capable of rewiring the transcriptional networks orchestrating t cell exhaustion by harnessing the power of crisprcas genome editing we will integrate sensors of mirnas upregulated in exhausted cells into untranslated regions of one or more transcription factors driving t cell exhaustion to enable their finetuned downregulation we will validate the reprogramming efficacy of tfitness by performing extensive functional analyses in vitro and in vivo and advance the best circuits towards the clinic by developing an automated cgmpcompliant manufacturing process for pointofcare production of tfitnessedited cart cells to develop this innovative platform we will bring together a multidisciplinary consortium of academic and industry partners that combine their unique expertise in t cell therapy and immunology synthetic biology genome editing cgmp manufacturing bioinformatics and communication easily integrable within cart tcrt and tumorinfiltrating lymphocyte til platforms tfitness will unleash the curative potential of t cell therapy for the benefit of an evergrowing number of cancer patients
stratospheric dynamics for seasonal prediction

seasonal forecasting is a field with enormous potential influence in different socioeconomic sectors such as water resources agriculture health and energy yet surface climate conditions in europe still represent a hurdle to formulate skillful seasonal predictions sd4sp aims to improve simulation and prediction of the remote influence of two dominant tropical variability modes in the north atlanticeuropean nae region el niosouthern oscillation enso and the quasibiennial oscillation qbo which are the leading modes of interannual variability in the tropical troposphere and stratosphere respectively enso is highly predictable and constitutes the cornerstone of seasonal forecasting the qbo is well constrained by initialization and has a long persistence being considered as the most promising source of seasonal forecast quality with enso however many scientific questions remain unresolved concerning their tropicalextratropical teleconnections and model systematic errors only worsen the problem sd4sp will focus on the stratospheric pathway of the ensoqbo teleconnections to nae and pursue gaining insight into the dynamical mechanisms at play this goal will be undertaken by carrying out an unprecedented set of idealized seasonal forecast experiments to address the contribution of the tropical stratosphere and the polar stratosphere to the prediction skill by suppressing variability in the two stratospheric regions separately sd4sp is very timely in helping to reduce model biases and to increase current seasonal forecasting capabilities for the nae surface climate the goal of sd4sp is twofold to identify key sources of predictability and to improve understanding and simulation of the mechanisms responsible for that predictability sd4sp will bring together theory and applicability disentangling atmospheric teleconnections to satisfactorily exploit them in a seasonal prediction context
interactive robots that intuitively learn to invert tasks by reasoning about their execution

despite the impressive advancements in artificial intelligence ai current robotic solutions fall short of the expectations when they are requested to operate in partially unknown environments most of all robots lack the cognitive capabilities to understand a task to the point of being able to perform it in a different domain as humans during the learning process we gain deep insights on the execution of a process which allows us to replicate its execution in a different domain with a little effort we are also able to invert the task execution and to react to contingencies by focusing the attention to the most critical prediction phases however replicating these cognitive processes in aidriven robots is challenging as it needs a profound rethinking of the robot learning paradigm itself the robot needs to understand how to act and imagine like humans do the possible consequences of its actions in another domain this demands for a novel framework that embraces different levels of abstraction starting from physical interaction with the environment passing through active perception and understanding and endingup with decisionmaking the inverse project aims to provide robots with these essential cognitive abilities by adopting a continual learning approach after an initial bootstrap phase used to create initial knowledge from humanlevel specifications the robot refines its repertoire by capitalising on its own experience and on human feedback this experiencedriven strategy permits to frame different problems like performing a task in a different domain as a problem of fault detection and recovery humans have a central role in inverse since their supervision helps limit the complexity of the refinement loop making the solution suitable for deployment in production scenarios the effectiveness of developed solutions will be demonstrated in two complementary use cases designed to be a realistic instantiation of the actual work environments
heritage language processing pinning down the sources of individual variability

this project aims to advance theoretically and methodologically our understanding of language development and outcomes in heritage language bilingualism hlb this research seeks to document and interpret the significance of differences in linguistic competencies and performances across individual heritage speakers hss themselves while typically hs aggregates are compared to homeland native speakers it is at least of equal importance to unpack the degree and source of intragroup hs individual variation yet this remains poorly investigated much less understood limited research in this vein suggests that hs variation is largely modulated by individuallevel factors eg hl input patterns ofopportunities for hl use hl literacy andor individual differences in cognitive abilities however individualjoint effects of these factors are not always observed depending on the specific linguistic subdomains this suggests an interaction between individuallevel and languageinternal factors to understand this latter relationship more fully help examines mandarin as a hl in preteenage 814 hss an understudied hl at an understudied time in hlb crucially we include participants with varied language experience testing narrow syntax of anaphoric dependencies juxtaposed to contexts modulated by where they are moderated by discourse appropriateness rising to contemporary calls advocating for an expansion of hlb into more online methods we employ electroencephalography an effectively untapped method in hlb studies as such help probes deeper into how hls develop the way they do with neurolinguistic measures which also bears social and economic impacts eg guiding hss and public and private sectors involved to better support hl developmentmaintenance the training i receive in this project will also significantly benefit my career development not only by equipping me with new experimental methods but also by training in many transferrable skills
strategies to promote the lupin proteins as a new and safe functional food ingredient assessment of oxidative and physical stability of food emulsions and allergenic potential

the demand of the evergrowing world population for dietary protein is no longer sustainable through animal products alone in this context the food industry is urged to find methods to meet the demands of highquality plantbased proteins lupins are an interesting crop that produce large seeds containing high protein level 30 40 nevertheless the commercial value of lupins is primarily based on lupin seed production as stock feed for ruminant and monogastric livestock recently some research has suggested that pulsed electric fields pef processing could significantly alter the microstructure and macromolecular interactions of proteins and improve their functional and biological properties in a chemicalfree and lowheat environment the aims of this project are to develop a sustainable method to obtain highquality lupin seed proteins with biological antioxidant activity and improved functional and emulsifying properties in addition to generate reliable data about the impact of the pef treatment on the allergenic potential of lupin proteins systematic analyzes will be carried out to evaluate the effect of pef on the physical secondary structure chemical protein content and amino acid profile biological antioxidant activity and allergenic properties functional and emulsifying properties of lupin proteins the antioxidant potential of the treated proteins will also be investigated to stabilize fish oilinwater ow emulsions the process proposed in this study has many advantages such as being cleanlabel free of chemical sidereactions safe and efficiency the data obtained after the execution of this project will support regulatory food agencies aiming to improve the health benefits of lupinderived products and further expand plant proteins uses in broader food applications and better meet the increasing protein demands
knowledge and manipulation of nature between usefulness and deception in the araboislamic tradition 9th15th century

the usefool project studies the knowledge and manipulation of nature applied to entertainment and fraud as described in the arabic technical literature dealing with the practice of charlatans and performers along the streets and in the markets at the core of usefools textual corpus are four arabic handbooks composed between the 6th12th and the 9th15th century combined with other sources such as the handbooks for the inspector of the market that focus on artisanal impostures the project will reconstruct the refined technical notions mastered by marginal social groups showing how the lightly dismissed popular knowledge was actually a form of street science the projects goal is to write a new chapter in the cultural social and material history of knowledge looking through the lens of arabic technical literature usefool proposes a new interdisciplinary approach to its sources this begins from a philological and textual analysis that focuses on their technical contents expands to the reconstruction of the material dimension of the procedures through handson replication and completes its allround approach with the reenactment of the performative and theatrical dimension entailed in the different forms of deception in this way usefool will assess the interaction between the narrative component and actual practice in this textual tradition the project will also map the sources of this technical literature on deception in order to reconstruct lines of transmission in a long time span and across different cultures the project reflects on the roots of the handbooks on entertainment and fraud in the antique and late antique heritage with the aim of providing a searchable and organized structure to the lore of natural properties usefool also expands its horizon to the close relationship between the arabic and the latin mediaeval technical sources with the aim of deepening our understanding of their transmission in a longue dure perspective
turntaking and turning points in violent encounters towards an explanatory theory of how conflicts in urban public space begin transform and end

although violent policecivilian and civiliancivilian encounters constitute a tiny sliver of the social interactions that take place each day their consequences can be farreaching images of assailants committing bestial violence against vulnerable victims arouse public fear and indignation while the excessive use of force by police undermines public trust cooperation and the rule of law in democratic societies depicting such violence as senseless moreover obscures the fact that violent action has meaning to the assailants based on the granular analysis of 126 publicly available phone camera recordings of reallife interpersonal conflicts in paris london and berlin the research program will advance an empirically grounded theory that explains how nonviolent altercations between strangers in public space develop into encounters in which physical violence is the dominant mode of interacting especially onesided violence against vulnerablesubdued victims the program breaks new scientific ground by 1 showing that episodes of interpersonal conflict can be causally explained by understanding how the antagonists and their audiences copresent peers colleague police officers unknown bystanders structure their interactions in culturally meaningful ways 2 analysing how slurs insults and provocations pertaining to race ethnicity class gender and age as well as differences in policing practices influenced the trajectories of civiliancivilian and policecivilian conflicts 3 developing the methods of ethnomethodologicalconversation analysis to transcribe and analyse in meticulous detail how sequences of bodily actions and verbal utterances become turning points towards the beginning transformation and ending of violence and 4 advancing the scientific use of now ubiquitous phone camera data