Dragon09/odtu_chatbot huggingface dataset:
understanding brain hemisphere organization by leveraging individual differences

many humandefining mental capacities recruit an extensive network of brain regions in both hemispheres yet are dominantly controlled by one side for example language activates both halves of the brain but language impairments are more severe likely and longerlasting when that functions dominant hemisphere is damaged in spite of being such an important feature of the human brain hemisphere organization is commonly studied in a fragmented way theories about the benefits of hemisphere organization are incomplete either focusing solely on the dominant side or nondominant side another issue hindering progress on understanding hemisphere organization is that individual differences in hemisphere specialization are ignored despite being massive combined this led to opposing philosophies for promoting cognitive recovery after onesided brain damage and onesizefitsall therapies hemivar will help resolve these issues through an original integration of advanced neuroscience techniques mri and tms and sophisticated networkanalysis frameworks that will allow to study hemisphere organization in the intact and disrupted brain holistically a major conceptual and methodological innovation is the attention to individual variability in hemisphere organization my project will deliver a novel empiricallyvalidated theory that jointly explains the biological roles of the dominant and nondominant hemisphere objective 1 and will clarify how individual hemisphere dominance interacts with betweenhemisphere connectivity objective 2 the projects results will constitute a significant advancement of our understanding of the human brain and will generate widelyapplicable methodological recommendations for future studies on top of that they will serve as a stepping stone for clinical research on integrating hemisphere specialization into patienttailored brain rehabilitation in line with the eu research policy aim to promote personalized medicine
astro dark large small

the standard model sm of particle physics is a successful extremely wellverified theory nevertheless the smappears far from being complete there are still many theoretical and experimental open questions the strongcp problem the origin of neutrino masses the nature of dark energy and dark matter the need for physics beyond the standard model bsm is undeniable but the question the standard model sm of particle physics is a successful extremely wellverified theory nevertheless the sm appears far from being complete there are still many theoretical and experimental open questions the strongcp problem the origin of neutrino masses the nature of dark energy and dark matter the need for physics beyond the standard model bsm is undeniable but the question is how and where will we find it the aim of the astrodarkls project is to try to discover or falsify important theoretical models of light particles such as axions and dark photons considering their impact in astrophysical and cosmological systems which were never considered in depth by the particle physics community the project is organised around three main themes spanning various length scales in the universe the use of stars and astrophysical objects to look for new physics the impact of motivated bsm models on star formation the investigation of electromagnetic signals both from galaxies and the interstellar medium between them for each theme groundbreaking objectives are identified such as the first simulation of supernovae radiative transport including axions the first public code for star formation in the presence of light physics the innovative use of line intensity mapping lim to detect dark matter decay or annihilation into photons all the objectives are located at the interface between particle physics astrophysics and cosmology building on the unique experience of the pi in these various disciplines and in perfect alignment with the european commission vision
mad literature own epistemologies from firstperson voices

this msca fellowship is a deeply personal project tied to my firsthand experience this project delves into my previous lines of research focused on subaltern experience and contemporary autobiographical modes the construction of subjectivities through narrativity and the use of archives in shaping personal narratives madlit is designed to transform the paradigm in which madness and literature authored by psychiatrized subjects are examined thereby contributing to the field of mad studies from an embodied knowledge mad studies is a relatively unexplored field in europe though it has gained some traction in other countries such as canada where it focuses on studying the experiences history and culture of individuals identifying as psychiatric survivors however this methodology has not yet been applied to literary production this will be the first project entirely centered on creating an epistemology to psychiatrized subjects through their autobiographical texts additionally i will delve into the theoretical analysis of the autobiographical examining it from two perspectives the historical as a key genre for bourgeois subjects in the 19th century and also as a contemporary vehicle for the subaltern voicesto achieve this i will divide the project into three parts firstly i will analyze firstperson literary texts with special attention to germanlanguage literature from the 19th to the 21st century in order to trace the current state of the emancipatory struggle of psychiatrized subjects in europe secondly i will study the use of narrativity in the mad activism to demonstrate its potential as a productive element of subjectivity lastly my third objective will be to engage with my own experience of psychiatrization allowing me to narrate it using the acquired tools in embarking on this journey my aspiration is to challenge a historical debt to those whose voices have long awaited to be heard
product passport through twinning of circular value chains

the constantly increasing demand of scarce resources and critical raw materials crms requires efficient usage of resources reuse and recycling of materials and responsible waste management and prevention the circular economys model establishes a virtuous cycle where products and resources can be reused repurposed and recycled to maximize productivity of resources to reduce waste and by products that can become raw materials rms entering in other industrial processes thus reducing the depletion of natural resources and the overall environmental effects on climate change plooto aims to deliver a circular and resilient information system cris to support manufacturers in their green digital and circular transition cris enables waste reduction and endtoend traceability of secondary raw materials srm through interconnected digital services for realtime decision making monitoring and certification of materials and products plooto delivers a a transformation framework based on traceability strategies for materialsproducts per business case with reference processes for srm use from waste deposit to new products and governance models for circular value chains b ict tools for modelling product production processes and supply chains as an aggregation of individual component digital twins with cognition capabilities cognitive digital twins cdts c data will feed rmrecovery and waste dataspaces allowing the provision of material certification and product passport and d a circular sustainability balanced scorecard frameworktoolkit to assess impact of decisionmaking at cdt level based on various kpisthe solution will be piloted in three different circular supply chains demonstrating waste reduction reusability of scrap and production byproducts operational improvement
open science plantrackassess pathways

ostrails aims to advance processes and instruments for planning tracking and assessing scientific knowledge production beyond stateofthe art working with various national and thematic contexts improving existing infrastructure and connecting key components for the plan stage ostrails aims to increase the efficacy of data management plans turning them from static narratives to living interconnected machine actionable resources making them the instrument of choice for improving quality of rdm for the track stage ostrails is set to establish an open interoperable and highquality ecosystem of scientific knowledge graphs enriching them to become evidence of communities fair implementations for the assess stage ostrails aims to deliver modular and extendable fair tests towards machine actionable metrics complemented by user guidance embedded in tools assisting any stage of research life cycle presented as the ostrails commons the resulting methods tools services guidance training form the necessary building blocks to provide endtoend solutions that serve i researchers and research support personnel realise fair at any stage of the research life cycle for any digital object and ii research funding organisations research performing organisations publishers to drive the improvement of the quality of rdm for any shared funded and published research product ostrails will lower the barriers to plan and practice fair research moving the dial from fair assessment to fair assisting practice also to enhance traceability and improve evidencebased evaluation of research via a more networked scholarship ostrails is deeply rooted in the work of 38 partners 22 research performing organisations 5 esfri clusters and 24 pilots acknowledging that there is no onesizefitsall solution and that different national and thematic infrastructures have varying goals and priorities as well as approaches to streamlining fair
artificial intelligence and machine learning for enhanced representation of processes and extremes in earth system models

global warming continues at an alarming rate presenting unprecedented challenges to society that require urgent scienceled mitigation and adaptation earth system models esms are essential tools for projecting climate change providing important information to decision makers however confidence in predicted climate change is undermined by a number of uncertainties i esms disagree on how much the earth will warm for a given increase in atmospheric carbon dioxide co2 earths equilibrium climate sensitivity ii how much emitted co2 will stay in the atmosphere to warm the planet half the co2 emitted by humans has been absorbed by the land and ocean and iii how much excess heat in the earth system will enter the ocean interior delaying surface warming 90 of the heat in the earth system goes into the ocean central to these uncertainties are poorly understood and poorly modelled earth system feedbacks in particular cloud feedbacks carbon cycle feedbacks and ocean heat uptake poor representation of these phenomena degrades the accuracy of esm projections with implications for anticipating future climate extremes and societal impacts we aim to improve the representation of these feedbacks in esms reducing uncertainty in global warming projections we propose a multidisciplinary approach focused on learning how to accurately describe processes underpinning these feedbacks through a fusion of observations with advanced machine learning ml and artificial intelligence ai such data and approaches constrained by the laws of physics will deliver a step change in the accuracy of earth system models ai4pex will place europe at the forefront of a revolution in earth system modelling leading to increased accuracy of climate change projections and superior support for implementation of the paris climate agreement and the european green deal
exploring nuclear aspects of neutrino interactions in neutrino oscillation experiments

the ability of current and next generation accelerator based neutrino oscillation measurements to reach their desired sensitivity and provide new insight into the nature of our universe requires a highlevel of understanding of the neutrinonucleus interactions these include precise estimation of the relevant cross sections and the reconstruction of the incident neutrino energy from the measured final state particles incomplete understanding of these interactions can skew the reconstructed neutrino spectrum and thereby bias the extraction of fundamental oscillation parameters and searches for new physics this proposal exploit the similarity of electron and neutrinonucleus interactions it leverages wide phasespace exclusive electron scattering data with known beam energies as well as neutrino scattering data in the same energy region and on similar nuclear targets to test energy reconstruction methods and interaction models the erc neutrinonuclei project will deliver well constrained simulation environment and uncertainties of the neutrinonuclei interaction to meet the requirements of future highprecision experiments
unraveling oceansea ice interactions numerical insights into mixing and double diffusion convection

the arctic region has undergone profound transformations in recent decades due to a rapid decline in sea ice extent these shifts impact the interplay between sea ice the atmosphere and the ocean involving complex thermodynamic and dynamic processes understanding these interactions is crucial for addressing the repercussions of arctic climate change however existing models used for climate projections struggle to capture finescale processes at the oceansea ice boundary necessitating parametrizations unfortunately these parametrizations are grounded in empirical rather than theoretical foundations limiting their applicability across diverse ocean conditions recent studies highlight the increased role of winddriven mixing at the oceansea ice interface and the lack of studies that include the joint effect of double diffusion convection two fundamental processes occurring in sea icecovered regions the oceansea ice interaction osii project seeks to bridge this critical gap by employing highly efficient direct numerical simulations dns this innovative approach promises a more precise comprehension of ice melting rates and boundarylayer dynamics resulting from the complex interplay of internal wavestides and double diffusion convection the osii project is committed to1 quantify the influence of tides on double diffusion convection within a homogeneous fluid flow2 explore the interplay between internal waves induced by a wavemaker and double diffusion convection in stratified flows3 enhance the vertical mixing parametrization within the nemosi3 general circulation model through insights derived from dns outcomesosii will enable the candidate fellow to produce impactful research results for the research community policymakers and the public moreover it will provide her with toptier training from worldrenowned institutions in fluid dynamics and oceanography enhancing her prospects of obtaining a permanent research position
specification analysis recalibration of high energy particle data

through a detailed analysis of very highenergy particle observations from the most important heliophysics missions combined with ground based measurements spearhead will provide answers to three science questions1 how are protons accelerated beyond 100 mev and electrons beyond 1 mev in solar eruptions2 what are the release times and spectral characteristics of nearrelativistic particles from solar eruptions3 how do coronal and interplanetary structures affect the transport processes of very high energetic particlesto enable the scientific data analysis spearhead has three technical objectives1 determining the response functions of a large number of spacecraft instruments to derive highenergy particle fluxes from observations at unprecedented accuracy releasing revised and completely new datasets2 performing crosscalibration of datasets measured by sciencegrade and monitoring instruments to enable the use of monitoring data for scientific analyses3 combining highenergy particle and context observations together with modeling of plasma structures for easier indepth analysis of solar eruptions quantifying their effect and delivering them to the communityspearhead combines eight partners possessing the best european resources in terms of data models and infrastructure in very highenergy particle research into a consortium that will deliver answers to the three science questions and consolidated datasets methodology and open access tools to the community enabling breakthrough science on these open problems the work is organized efficiently in 8 work packages with carefully picked top european expertise in each of them spearhead will also facilitate the future application of its results through dedicated and comprehensive user engagement direct provision through open access infrastructures as esa datalabs while strongly promotes its results and the valueadded datasets and tools for the future heliophysics missions
biodegradable delivery systems for plant pathogens control of horticultural crops through bioactive agents

the biobive consortium is a multidisciplinary 16 members group of universities research centres and smes from 6 different european countries aimed to achieve as main objective the development of biobased platforms to allow the controlled release of bioactive agents able to control the plant pathogens of horticultural crops helping to decrease the use of chemical pesticidesthe general objective is based on three different biobased release platforms bioplastic mulch biochar and sprayable mulch and three bioactive agents basic substances microorganisms and marine phenolic compoundswhich will be the starting point to achieve the final best formulation the functionality of these biobased delivery systems that use substances from natural sources against crop pathogens instead of chemical pesticides must be evaluated in laboratory greenhouse and environmental conditions using diverse cropping systems eg carrots strawberries tomatoes and techniques which are part of the biobive partners expertise
fast proofs for verifying computations

a proofsystem is a protocol that enables a powerful prover to convince a weaker verifier of the validity of a computational statement proofsystems have been central to the theory of computing since its inception some of the most important results concepts and open problems in this field revolve around notions of efficient proofsystemsin recent years due to the surging need for large scale computation coupled with advances such as cloud computing and blockchains these computational proofsystems which originated in the theory literature are now being implemented and deployed also in practice however their widespread deployment is impeded by key bottlenecks on the theory side the goal of the fastproof project is to identify study and mainly to resolve these bottlenecks1 minimizing the amount of back and forth interaction between the prover and the verifier aiming at proofs that are noninteractive noninteractive proofs offer gamechanging advantages in contrast to their interactive counterparts such proofs can simply be posted online and shared between different clients2 in current proofsystems the time that it takes for a prover to prove correctness of a computation is significantly longer than the time that it takes to simply perform the computation the second major challenge is to reduce the complexity of proving correctness to be linear in the computation time 3 making the memory or space complexity needed to generate the proof be proportional to the space requirements of the computation in contrast to most protocols in the literature in which the space required to prove correctness is proportional to the running time of the computation the goal of the fastproof project is to resolve these key challenges while relying on wellfounded cryptographic assumptions while the focus of this project is theoretical we believe that it stands to have an important impact also on the future development of practical proofsystems
extracellular vesicle research exchanges for advanced biomarkers and therapeutics

the everest project is a pioneering consortium in extracellular vesicle evs research bringing together 22 institutions from 11 countries including 3 uk partners this interdisciplinary consortium is distinguished by an ambitious plan for over 285 months of staff exchanges engaging at least 81 fellows researchinnovation programme is structured into four pivotal work packages1combining expertise and resources for advancing standardised characterisation and isolation of evs focused on harmonizing methods for ev isolation across diverse tissues and samples enhancing the consistency and reliability of ev research2jointly investigating evs in health or disease and enhancing translational biomarker discovery concentrated on exploring the roles of evs in various health conditions and diseases with a particular emphasis on identifying and validating new biomarkers for diagnostic and prognostic applications3uniting capacities advancing evbased therapeutics or drug delivery dedicated to developing innovative evbased treatments and drug delivery mechanisms targeting key health challenges like cancer and cardiovascular diseases4catalysing commercial development of evbased technologies aiming to bridge the gap between research and practical application this work package focuses on preparing evbased solutions for largescale production and market introductionat its core everest is committed to significantly enhancing the capabilities of participating institutions and fostering career advancement for involved fellows by positioning evs as critical tools for biomarker discovery and therapeutic applications the project aims to make substantial contributions to personalized medicine and improved health outcomes ultimately translating research breakthroughs into clinical practice
mechanobiology of cancer progression

invasive cancers are a leading cause of death worldwide with almost ten million deaths per year caused by resistance to antitumor treatments in breast cancer aggressiveness correlates with fibrotic stiffening of the tumour there is an urgent need to understand how the fibrotic microenvironment evolves to design better targeted cancer therapies fibrotic stiffening is caused by fibroblasts secretion of a matrix with mechanical properties that stabilise the tumour vascular network however the hierarchy and stability of the tumour vascular network are not reproducible in vitro to advance the field i will develop a revolutionary platform able to recapitulate tumour fibrosis by exploiting the vascularisation of a living organismto achieve my goal i will use human breast cancer cells adhering to 3d polymeric micro scaffolds to create arrays of tumour micro environments i will implant the arrays in vivo in the chorioallantoic membrane of an embryonated avian egg to elicit a foreignbody fibrotic reaction i will vary the micro scaffolds geometry to condition tumour infiltration by the hosts vessels and cells i will exploit fluorescent spatial beacons incorporated in the micro scaffolds for multiphoton image correlation to derive morphological and functional information of the regenerated fibrous matrix and vessels i will predict mass transport of solutes and anticancer agents by computational modelling to validate the platform i will quantify in vivo the dosedependent efficacy and cancer specificity of therapeutic agents whose success is known to depend on the fibrotic stage of tumoursthis project combines mechanobiology to bioengineering biomechanics oncology genetics microtechnology intravital imaging biophysics and pharmacology to understand the progression mechanisms of the most incurable cancers it will also provide an ethical and standardizable testing platform to boost the clinical translation of new therapeutic products in oncology