Dragon09/odtu_chatbot huggingface dataset:
proteomewide functional interrogation and modulation of gut microbiome species

the gut microbiome plays a key role in human health genomics approaches excel at cataloguing species composition and associating imbalances with disease yet as we are oblivious to the function of a large proportion of proteins of these organisms we are limited in our understanding of the molecular mechanisms that drive disease or promote health in this groundbreaking project we will systematically identify the function and interactions of proteins of microbiome species deliver compounds to modulate them and develop strategies to rationally manipulate microbiome compositionwe will use a scalable systems biology approach based on highthroughput proteomics using more than 100 drugs to perturb the proteome of a panel of 38 prevalent and phylogenetically diverse bacterial species that colonize the human gut proteins involved in the same biological process have coordinated changes in their levels across perturbations allowing us to infer function based on annotated proteins we will further assess which proteins are likely to physically interact as they coaggregate upon heatinduced denaturation leading to a map of the functional protein network of these species we will then identify the mechanisms of action and resistance of the used drugs by using thermal proteome profiling and by measuring intracellular drug concentrations this will allow us to identify species that encode the target but no resistance elements so we can use the information to specifically deplete diseaseassociated species from microbial communities these strategies extend beyond the strains studied in this project as homologs of these proteins can be identified solely from genome sequencesoverall this project paves the way for the microbiome field to move from associations to targetable mechanisms with a vision to design therapies with reduced side effects to restore the microbiome to a healthy state
fast yet accurate routine rational design of novel enzymes

life could not be sustained without the presence of enzymes which are responsible for accelerating the chemical reactions in a biologically compatible timescale enzymes present other advantageous features such as high specificity and selectivity plus they operate under very mild biological conditions inspired by these extraordinary characteristics many scientists wondered about the possibility of designing new enzymes for industriallyrelevant targets unfortunately none of the current enzyme design strategies is able to rapidly design tailormade enzymes at a reduced cost this is limiting the general routine application of enzyme catalysis in industry and thus the chemical manufacturing competitiveness the goal of this project is to develop a fast yet accurate computational enzyme design approach for allowing the routine design of highly efficient enzymes fasten combines computational chemistry deep learning graph theory and computational geometry for controlling the complexity of enzyme catalysis in a new computational protocol that will capture the chemical steps and conformational changes that take place along the catalytic itinerary active site and distal activityenhancing mutations are predicted based on correlation and coevolutionarybased guidelines and the catalytic potential of the new designs is estimated by means of geometrybased oracles this new computational approach will be validated with the design of enzymes presenting complex conformational dynamics and multistep mechanisms the experimental evaluation of many of the designs will finally reveal the potential of this new approach for the fast routinely design of industriallyrelevant enzymes fasten has the potential of making the routine design of enzymes possible thus improving our current lives and leading to a more sustainable world for our generations
aibased longterm health risk evaluation for driving behaviour change strategies in children and youth

noncommunicable diseases ncds are the leading cause of death and healthcare expense common risk factors for many of them are obesity and low physical fitness resulting from an unhealthy lifestyle targeting children and youth for lifestyle interventions has been suggested because 1 early precursors of most ncds are already present at this age 2 childhood and adolescence are critical periods for the acquisition of healthy lifestyle habits and 3 unhealthy lifestyle in this age group is prevalentwe propose to develop longterm riskprediction models for cardiovascular and metabolic disease for people aged 519 we have already identified 15 datasets with data on behaviour fitness biomarkers and actual ncds spanning various ages we will develop machinelearning methods that can train models on such heterogeneous datasets enabling the prediction of risk for people of various ages for whom different data is available we will employ federated learning for data privacy carefully curate and balance the data to ensure it is biasfree and representative of the target group and employ methods for explanation and visualisation of the data models and predictions participatory design involving explanation of the ai will be used to design two applications one for health professionals and the other for citizens both will show the risks broken down by risk factors and the recommended behaviour changes to reduce them in a manner appropriate for each user group the developed solution will be validated in a large proofofconcept study in four countries involving different health settings family school primary care integrated care to facilitate practical use of the developed solution we will prepare recommendations for their implementation and a realistic exploitation plan these activities will be supported by dissemination and communication activities specifically tailored to the target groups eg involving science museums
innovative storage technology and operations in hydropower

storhy aims to minimize capex opex for innovative pumped storage projects this is achieved by enhancing the lifetime and recyclability of components and equipment and devising operation strategies for unconventional schemes through sensorbased condition monitoring systems these systems detect early failure mechanisms enabling the postponement of unnecessary maintenance actions and avoiding unplanned outages furthermore strategic use of digital tools for operational management is employed to improve efficiency reliability and availability of pumped storage plantsconsidering energy and market demand dynamics variable renewable generation and integration storhy addresses climate change effects and enhances flexibility and resilience of the eu energy grid the project focuses on optimizing plant availability offering increased storage potential peak shaving fast response regulation and ancillary services for grid resilience the integration of digital tools realtime controllers monitoring strategies and predictive maintenance algorithms is consolidated in a cyberphysical platform for advanced decision support cads this platform along with hightech computational models enables the realistic estimation of critical component degradation in short and longterm operations this information supports informed decisionmaking in psp operation and aids in the design of innovative control strategies for challenging conditionsthese developments result in a broader operating range and increased flexibility in eu hydropower generation and storage potentialstorhy prioritizes building regional connections with local stakeholders industry academia and policy institutions sustainability considerations encompass environmental circularity economic and social aspects drawing insights from previous projects these insights include onsite impacts societal acceptance ecological concerns and lcc
metalinduced energy transfer based electrometry and nanometry dissecting electrostatic phenomena in biological processes

almost all biological processes involving molecular trafficking signaltransduction celltocell interactions hinge on precisely orchestrated electrostatic interactions arising from electrical charges on biomolecules and membranes yet our understanding of the role of electrostatics in these fundamental processes remains elusive due to the absence of quantitative methods to measure the electrical charges of biomolecules and to map the surface charge distribution of membranes this challenge is further compounded by the requirement of capturing molecular and membrane dynamics that take place at the nanometre length scales and nano to submillisecond time scales the overall objective of this project is to bridge this technological gap by introducing metalinduced energy transfer based electrometry and nanometry mieten a groundbreaking technology that will quantify the electrical charge of biomolecules or membranes while capturing their dynamics with nanometre spatial and microsecond temporal resolutions we will demonstrate mieten for measuring i the charges and sizes of individual membrane proteins ii membrane protein structural changes conformational dynamics and spatial organization in response to changes in membrane potential iii reactiondiffusion kinetics at a charged membrane iv mechanical properties and dynamics of membranes containing charged inclusions and v interactions between two charged membranes the ability to measure biomolecular and membrane electrical charges and to elucidate the role of electrostatics in structure organization and interactions of proteins as well as in membrane dynamics and intermembrane interactions will be crucial for our understanding of fundamental biology and for advancing biomedical research mieten will open new frontiers in studying protein and membrane dynamics and impact drug development early diagnostics and therapeutic interventions
building green and climate neutral cityhubs

climaborough is an innovation project designed to field test the climhub climate sandbox and climate service concepts within 12 european cities engaged in their ecological and digital transition the project aims to enhance traditional urban and spatial planning approaches through data and knowledge based decision making including a possible new role for gis geographic information systems including climate services coproduction for transitions crosscity and crosscountry pilot cocreation as well as the tactical use of public procurement of innovative solutions the goal is not just to enhance an open set of tools leveraging climate transition in cities but also to boost the exchange of experimental good practices experiences and lessons learnt in this field to help cities meet climate neutrality by 2050 this will be achieved by the following expected results a building climhubs of cities and solution providers to work on experimentations in real conditions b harnessing the collective intelligence of local stakeholders for collaborative solution development c defining climate services as a model strategy to use data and visualisation tools for climate transition d field testing the climate sandbox concept as a way to prioritise and facilitate transformation of successfully deployed prototypes into established solutions for climate adaptation and mitigation in cities and e monitoring and assessing the progress in achieving those goals and in implementing a climate neutrality planning scheme based on the lessons learnt and successful concept of the h2020 designscapes csa climaborough has the ambition to bridge the gap between design and implementation of urban innovations particularly in the domain of climate change adaptation and mitigation
dualchannel paperbased electroanalytical platform for multiple myeloma care

multiple myeloma mm is an aggressive type of cancer of plasma cells where fast diagnosis and treatment monitoring is vital especially given the overall low survival rate proteasome a multicatalytic complex essential in damaged protein degradation has been recently established as a biomarker for mm in which elevated levels have been observed in blood plasma of unhealthy individuals as well as its impaired activity has been target for treatment alongside regular chemotherapy padmme addresses increasing contributions on proteasome electrochemical recognition and aims to develop novel interdisciplinary technologies translatable into poct systems for mm care for this we propose the development of sensitive and selective dualchannel platforms comprising conductive polymeric fiber biosensors integrated on paperbased microfluidic supports to simultaneously detect quantity and specific activity of proteasome in blood plasma paper supports ensure disposability and ease of commercialization whilst incorporation of microfluidic paths allows low sample volume requirements and in situ pretreatment steps conductive polymeric fiber scaffolds provide increased signal resolution for the construction of biosensors necessary for the recognition of low concentrations of the biomarker then investigating proteasome at the dualchannel platform in drugtreated and untreated mm cell lines will demonstrate how changes in quantity and specific activity are specifically linked to the disease dynamics the last step will comprise validation of the technology for analysis in blood plasma technology able to improve overall monitoring of mm disease progression and therapeutic efficiency crucial to overcome delays in treatment due to drug resistance complications training through research will allow me to refine my expertise creativity and innovative potential on smart biosensor technologies translated into pointofcare testing devices for cancer care and drug assessment
interindividual variability in the structural and functional organization of human visual cortex

our brains are equipped with extraordinary degrees of structure typically found in similar cortical locations and with similar topography across individuals indicating a common architectural design of sensory information representation despite the striking similarity of this topographic organization across people recent investigations have revealed compelling evidence of interindividual differences in the topography of early visual areas retinotopic maps as well as the size and spatial location of higherorder visual areas challenging the notion of consistent mapping even at the earliest cortical processing stages revealing what factors determine interindividual differences in retinotopic maps and functionally selective clusters promises a pathway toward understanding why our visual system is organized the way it is through invision i will determine the biological basis and experiential processes underlying interindividual variability in the functional organization of the human visual cortex and their functional significance for visual behavior i will achieve these goals by expanding my skill set to cover varied magnetic resonance imaging modalities and behavioral data analyses under the supervision of prof martin hebart a renowned researcher in vision sciences and particularly wellknown for developing and utilizing largescale functional datasets for understanding human visual perception with additional support from dr evgeniya kirilina with expertise in the analysis of diffusionweighted imaging data by expanding my theoretical knowledge in vision sciences through oneonone training with prof hebart i aim to become an independent vision scientist with deep knowledge of human vision at the structural functional computational and behavioral levels
democratising research and restoration of audiovisual media and film dreamfilm practices and methods to improve the accessibility to restoration and promote competency exchange

today only a small part of the analogue audiovisual collections has been digitised and workflows and digitisation practices are carried out mainly in institutional centres at a national level this situation leads to the question is online audiovisual content truly representative of european and global film historythe dreamfilm democratising research and restoration of audiovisual media and film project aims to develop alternative approaches to film digitisation restoration and quality assessment based on the experience of wellestablished institutional archives and smaller noninstitutional centres to make those actions more democratic and inclusive by reducing restoration costs in time and resources as a result more accessible and adaptable digitisation practices and restoration software will be generated promoting research and knowledgeexchange with strategical dissemination and communication actions the main strength of this project is the interdisciplinarity and the mutual knowledge exchange between archives and research centres of humanistic and scientific faculties the network involving those centres will be a base for developing more suitable practices and education plans to make film restoration practices available in institutions based in underrepresented countries and smaller noninstitutional archives
functional optoacoustics for imaging early onset of gut inflammation

the aim of this project is to functionalize contrast agents for multispectral optoacoustic tomography msot a molecular sensitive ultrasound imaging technique to develop a new targeted imaging approach for the early localisation of inflammatory processesinflammatory processes in the gastrointestinal tract often act like a trojan horse while camouflaging themselves with diffuse clinical symptoms they may rapidly progress into lifethreatening complications to date it has been difficult to precisely localize them in their early stages and their detection remains the domain of invasive endoscopy the invasive nature of this method not only restricts its use for early disease detection but is a major limitation for repetitive or highrisk applications msot uses laser light excitation and ultrasound detection to resolve different chromophores such as haemoglobin lipids and other metabolic parameters at depths of several centimetres while we were using the response from endogenous chromophores for translational to a range of potential clinical applications we discovered that dyes delivered via the oral route enable the dynamic visualization of the entire intestinal tract this molecularsensitive approach has the advantage that such contrast agents are not absorbed systemically and undergo excretion largely unchanged based on this i hypothesize that it is possible to functionalize such contrast agents in order to put a molecular flag on inflamed areas in the gastrointestinal tract after characterizing potential imaging targets in the intestinal lumen and developing imaging agents we will take a translational research approach moving from cells through small and large experimental animal models back to the human system this research at the frontiers of medicine and physics may pave the way to noninvasive early detection and personalized treatment strategies while minimizing the procedural risk for affected patients
trustworthy efficient ai for cloudedge computing

manolo will deliver a complete stack of trustworthy algorithms and tools to help ai systems reach better efficiency and seamless optimization in their operations resources and data required to train deploy and run highquality and lighter ai models in both centralised and cloudedge distributed environments it will push the state of the art in the development of a collection of complementary algorithms for training understanding compressing and optimising machine learning models by advancing research in the areas of model compression metalearning fewshot learning domain adaptation frugal neural network search and growth and neuromorphic models novel dynamic algorithms for dataenergy efficient and policycompliance allocation of ai tasks to assets and resources in the cloudedge continuum will be designed allowing for trustworthy widespread deployment to support these activities a data management framework for distributed tracking of assets and their provenance data models algorithms and a benchmark system to monitor evaluate and compare new ai algorithms and model deployments will be developed trustworthiness evaluation mechanisms will be embedded at its core for explainability robustness and security of models while using the zinspection methodology for trustworthyai assesment helping ai systems conform to the new ai act regulation manolo will be deployed as a toolset and tested in lab environments via use cases with different distributed ai paradigms within cloudedge continuum settings it will be validated in verticals such as health manufacturing and telecommunications aligned with adra identified market opportunities and with a granular set of embedded devices covering robotics smartphones iot as well as using neuromorphic chips manolo will integrate with ongoing projects at eu level developing the next operating system for cloudedge continuum while promoting its sustainability via the aiondemand platform and eu portals
european partnership on radioactive waste management 2

our visionwith the european joint programme on radioactive waste management eurad1 a step change in european collaboration was envisaged towards safe radioactive waste management rwm covering all phases including predisposal and disposal through the development of a robust and sustained science technology and knowledge management programme that supports timely implementation of rwm activities and serves to foster mutual understanding and trust between joint programme participantseurad2 builds upon eurad1 and predis to further implement a joint strategic programme of research development and knowledge management activities at the european level bringing together and complementing eu member states programmes in order to ensure cutting edge knowledge creation and preservation in view of delivering safe responsible and publicly acceptable solutions for the management of radioactive waste throughout all programme phases from cradle to grave across europe now and in the futureeurad2 will support the implementation of the waste directive in eu member states taking into account the various stages of advancement of national programmes the differences in capabilities and inventories the main goals are tosupport member states in developing and implementing their national rdd programmes for the safe longterm management of their full range of different types of radioactive waste through participation in the rwm joint programmedevelop and consolidate existing knowledge for the safe start of operation of the first geological disposal facilities for spent fuel highlevel waste and other longlived radioactive waste and supporting optimization linked with the stepwise implementation of geological disposal facilitiesbuilding on the achievements of eurad1 and predis maintain a knowledge management system that enhances transfer of knowledge between organisations member states and generations