RCaz/eu-funding-proposals-sft huggingface dataset:
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Explain how 'Analysis of the pathological implications of the abnormal accumulation of glycogen in specific cell types' goes beyond current state-of-the-art under Seventh Framework.

assistant: **Innovation**

Glucose is stored in specialized tissues (mainly liver and muscle) in the form of a branched polymer called glycogen. Glycogen Synthase is the only enzyme able to catalyze this polymerization and its two isoforms (LGS and MGS) are mainly expressed in liver and in muscle, respectively. However, MGS is also expressed in all other tissues, regardless of their limited capacity to produce Glycogen. MGS activity is tightly controlled by several mechanisms. Recent results from the receiving group show that demise of these mechanisms in neurons causes apoptosis and may be the cause of Lafora disease. Our working hypothesis is that deregulation of MGS protein levels and/or activity is causative of several pathologies. Therefore, we aim to dissect the consequences of the loss of regulation of MGS in several cell types and tissues, using a state-of-the-art genetic approach. Our results will bring new evidence for the understanding of many unresolved human health conditions, and help to identify potential therapeutical strategies. The specific research objectives are: 1. To elucidate the mechanism by which the accumulation of glycogen triggers apoptosis. 2. To study whether aberrant accumulation of glycogen is responsible for some degenerative conditions. 3. To establish whether GS has a moonlighting function. These questions will be addressed both in vitro, using cell culture and diverse cell biology techniques, and in vivo, using newly available conditional mouse models. The applicant will join a group of reference in the study of the metabolism of glycogen, and will offer his extensive experience in the generation and use of mouse models for human disease. It is the applicant’s aim to become a skilled, independent research manager, either as a group leader or as scientific manag
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Explain how 'Digital twin-based approach to improve resilience of slab tracks in a warming climate' goes beyond current state-of-the-art under Horizon Europe.

assistant: **Innovation**

We are in a warming climate. Predictions indicate that the world is on track for a warming of 1.5 ℃ in the most optimistic situation. This is very bad news for railway slab tracks utilized all around the world, since the intensified extreme heat waves in a warming climate can induce severe slab track failure and cause lethal outcomes like train derailments. Furthermore, the rise in life-cycle carbon emissions due to increased track maintenance workload and material consumption worldwide in a warming climate is estimated to be around 60 million tonnes, which can be used to manufacture about 120 million cars.However, we are not fully prepared to this challenge because of a lack of useful tools to predict track performance and arrange maintenance activities in a warming climate. Thus, this TwinsTrack project aims to contribute to a better understanding of slab tracks' mechanical behavior in a warming climate and practical maintenance strategies to improve their climate adaptability.In this project, the applicant will (i) develop integrated digital twin models of slab tracks for performance prediction in a warming climate; (ii) design various climate-adaptive maintenance measures for slab tracks; (iii) develop a multi-objective optimization approach to select optimal types and design details of maintenance measures to not only maximize the safety of slab tracks, but also ensure their best environmental and economic performance.The outcomes of this TwinsTrack project will not only prepare engineers for the climate crisis but also inform policymakers of the urgent need for action. This will not only reduce the risk of structural-failure-induced accidents but also decrease carbon emissions and maintenance costs of slab tracks by an estimated 20% to 30% in a warming climate.
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Describe how 'Megacity Aerosol Composition by Satellite: A tool to study anthropogenic Emissions, Climate change and human Health' will create measurable scientific, societal and economic impact aligned with Horizon 2020.

assistant: **Impact**

Anthropogenic aerosol emissions from growing urban agglomerations contribute to air pollution with impacts on climate change and on human health. The composition of aerosols over megacities is partly unknown, although important to accurately understand and prevent these impacts.Satellite-based remote sensing provides a unique opportunity to spatially monitor the atmospheric composition in the lowermost troposphere. We propose to analyze complementary information on gases and aerosols in order to provide estimates of aerosol concentration at the surface with their composition, specifically over megacity regions.Current aerosol concentration and chemical composition will be assessed by combining:1) Local snapshots of aerosol concentration and composition at high spatio-temporal resolution from aircraft campaigns,2) Global retrievals of aerosol optical properties from satellite measurements, and3) Numerical atmospheric simulations.This project focuses on three regions (with different emission regulations) where scientific aircraft campaigns have been carried out, namely Europe (strict regulation), East Asia (regulation implementation in progress) and West Africa (no regulation). Based on modelling sensitivity studies, we will evaluate the benefits of emission reduction strategies on human health and anthropogenic climate change. Applied to future regulations, our methodology will provide a comprehensive analysis to advise policymakers on sustainable choices.


**Keywords:** megacity, aerosol, air quality, atmospheric composition, health impact, remote-sensing, numerical, modelling
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Explain how 'The Unparalleled AI Platform using High-Performance Computing to Scale Industrial Operations' goes beyond current state-of-the-art under Horizon 2020.

assistant: **Innovation**

The 4th industrial revolution is ongoing. The manufacturing and process industry have started transitioning into automated and data exchange operations. Still, the challenge for these players is to handle the massive amounts of data that is produced in large-scale real-time operations –and quite often– needs to be managed under time-pressure. As of now, the process industry has to choose between implementing large-scale analytics systems (using a scale-out or scale-up architecture) to control real-time operations and find metrics for predictions or alternatively, rely on machine learning (ML) technologies to discover meaning in data sets. At AIA Science –a spin-off from Numascale, world leader in high-computing performance or HPC– we have created AIA SGA, the first platform that integrates in a single solution a scale-up graph analytics architecture (based on HPC hardware) and the most advanced ML technology, allowing to automate real-time operations, whilst optimizing production and using anomaly detection to prevent accidents (e.g. the Deepwater Horizon oil spill disaster). Our current prototype (TRL6), combines three main components: The AIA Analytics engine; the AIA ML Suite and Neo4j Graph database software. Our priority market will be the European oil/gas and aluminium industries, having already a solid network of partners within our home market (e.g. Statoil, Aker BP or Norsk Hydro), where most European oil rigs and aluminium plants are concentrated. The market of ML-based large-scale analytics is gaining traction, being expected to be worth €1.1 billion by 2021 with an staggering CAGR of 29.5% (2016-2021) , translating into an appealing business opportunity for first movers (like AIA Science). With our AIA SGA project, we will increase our revenue to €9.75 milli
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Write a project proposal abstract for 'Increasing reproducibility through the co-creation of interventions that support a transparent and trustworthy research ecosystem' to be submitted under Horizon Europe.

assistant: **Abstract**

TRUSTparency starts from the assumption that what scientists need to trust is that the Mertonian process of organised scepticism can operate, allowing scientific knowledge to self-correct efficiently. By extending this assumption we argue that scientists and all other research stakeholders should be open to adopt innovative interventions, to the extent that they can trust that these are developed, deployed, assessed, and corrected transparently and collaboratively. TRUSTparency’s core guiding principle clearly reflects the above argument, specifically by advocating for a maximally informed, context-sensitive, collaborative, democratic, and transparent approach to facilitating the development of interventions that enhance reproducibility by Research Performing Organisations, Research Funding Organisations, learned societies, and publishers. These types of institutions will be empowered to develop their own policy guidelines in the form of a Reproducibility Promotion Plan (RPP), which will be a sequence of concrete steps to transfer the practices that promote reproducibility to their everyday work and to monitor their effectiveness with mechanisms customised to their specific needs. The co-development activities of the project will be based, with the concerted engagement of the project’s Stakeholder Advisory Board (SAB), which is composed, among others, of 10 national Reproducibility Networks (RNs). The SAB will actively participate in the three-stage co-development plan of the project’s interventions: (a) development, (b) pilot testing by 9 institutions, and (c) validation-finalisation. The project's co-creation activities will be applied in tandem with a wide and structured discussion facilitated by the highly innovative comCensus platform. From day one, TRUSTparency wi
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Explain how 'Determination of bacterial vesicles interactions in the most abundant marine cyanobacteria and its potential applications' goes beyond current state-of-the-art under Horizon 2020.

assistant: **Innovation**

In recent years, there has been an increasing recognition of the importance of marine microbes, coupled with the discovery of a vast microbial diversity in the oceans. Remarkable examples of this importance are the cyanobacteria, which are responsible for more than 50% of the oxygen production on Earth. Marine picocyanobacteria (i.e., Synechococcus) dominate most phytoplankton assemblages in oceans interacting over different spatial and temporal scales. Interactions mediated by uptake of proteins, lipids or metabolites, quorum signaling, viruses or by the secretion of membrane vesicles, have a large ecological impact on community structure. VESYNECH is an ambitious project with the aim of gaining a comprehensive understanding of the role of marine microbial vesicles of Synechococcus and its implications in the microbial diversity in the ocean. The abundant and ecological importance of these marine microorganisms as contributors of global primary production in the ocean reinforces the relevance of this project. To fully understand how these vesicles are implicated in these interactions, I will characterize the microbial vesicles of different strains of the cyanobacterium Synechococcus. Furthermore, I will determine the potential functions of vesicles from marine cyanobacteria and its role in the horizontal gene transfer. Finally, I will explore the content of these vesicles to unveil possible bioactive potential of genes and enzymes. This project will be carried out at the García-Fernández lab at the University of Córdoba, Spain with the expertise in physiological studies in marine cyanobacteria, providing me with an excellent training through research, acquiring additional research skills and gaining experience in the leadership and management of projects.
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Explain the overall concept, methodology and approach for the project 'A critical assessment of bayesian modelling assumptions and their application to econometrics and environmental science' (1994-1998).

assistant: **Concept**

The aim of the methodological work is to broaden the scope of Bayesian modelling, so as to provided a more useful and realistic treatment for applied problems. We can categorize this work in three main groups: 1. Inference robustness: it consists in assessing the influence of modelling assumptions on the actual inference. 2. Modelling and inference through non-standard distributions: I introduce new classes of distributions that can be more adequate for modelling certain data sets (displaying e. g. skewness and/or fat tails). 3. Reference priors: it deals with finding a prior distribution which adequately captures a lack of prior information. I would like to find this reference prior for stochastic frontier models. In terms of econometric applications, I would like to investigate theoretical and practical aspects of stochastic frontier models, as well as to treat financial data using nonstandard distributions as mentioned above. In environmental science, I am trying to develop a statistical model for estimating fish captures.
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Write the concept and methodology overview for 'Integrated Sensing, Localization, and Communications in 6G THz Systems' under Horizon Europe.

assistant: **Concept**

In parallel to the evolution of 5G communication systems, 6G concepts are being developed in the academic community. In 6G, several key technical enablers are envisioned: i) mmWave and THz frequencies electromagnetic with extremely large bandwidths, and extremely large antenna arrays; ii) reconfigurable intelligent surfaces that control the propagation environment; and iii) machine learning to solve problems for which mathematical models are not sufficient. As location-aware communication (i.e., to optimize network efficiency and communication capacity by exploiting location, map, and trajectory information) is already a part of 5G, we expect that the 6G key enablers will also lead to high-accuracy sensing and localization and, in turn, improve communication quality. The goal of this project is to develop integrated sensing, localization, and communication systems for 6G, and the project comprises the following 3 work packages (WPs). In WP1, joint parameter estimation methods for the 6G channel are studied, and low-complexity methods will be developed based on the inherent high resolution of the 6G channel. By exploiting the estimated channel parameters of 6G signals, novel methods for estimating user state as well as sensing the time-varying propagation environment will be developed in WP2. We will design methods to use sensing and localization information from WP2 for initial beam search, beamspace processing, beam alignment, and power allocation in WP3. In doing so, we address several of the fundamental challenges in 6G communications and high-accuracy sensing and localization.


**Keywords:** 6G, channel estimation, joint sensing and communications, multi-target tracking, THz frequencies
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Compose the 'State of the Art and Innovation' section for a Horizon 2020 proposal on 'A novel chemical discovery platform enabled by machine learning'.

assistant: **Innovation**

Computational design and discovery of molecules and materials relies on the exploration of increasingly growing chemical spaces. The discovery and formulation of new drugs, antivirals, antibiotics, catalysts, battery materials, and in general chemicals with tailored properties, require a fundamental paradigm shift to search in unchartered swaths of the vast chemical space. This is in stark contrast to current approaches, which start from (commercially available) libraries of compounds from various suppliers. Within the ERC Consolidator grant BeStMo (grant agreement ID 725291) we aimed to substantially advance our ability to model and understand the behaviour of molecules in complex environments. As a result, we successfully developed a set of machine learning and physics-based methods for covalent and non-covalent interactions that now allow an accurate and efficient modelling of molecules of increasing size (from 10 to 1000 atoms). These methods now enable routine calculations of quantum-mechanical properties of molecules throughout chemical compound space, provided that enough reference data is produced as a starting point for training. Within DISCOVERER, we aim to promote a paradigm shift in chemical discovery by inverting the selection pyramid by starting with pre-defined parameters from which new chemical entities are designed through machine learning and AI-enabled algorithms. We can do so by integrating these modules into a commercial platform: “Chemical Space Machine”. DISCOVERER’s main goal is to finalize the development of a commercial alpha version of “Chemical Space Machine” and setting up its commercialisation strategy.


**Keywords:** chemical space, chemoinformatics, machine learning, new chemical entities
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Write the 'Expected Impact' section for the project 'MARMOUSI 3D' (1994-1998), addressing dissemination and exploitation.

assistant: **Impact**

The main objective of the project is the assessment of innovative 3D prestack processing techniques aimed at improving the accuracy of 3D seismic depth images in terms of localization, spatial resolution and true amplitude reflectivity. Particular attention will be paid to improving the preprocessing methodology of 3D land seismic survey. Additional gain will be to provide some insight on the minimal trace density needed in order to preserve the accuracy of depth imaging and to promote the use of 3D borehole seismics for local structural interpretation. To secure the objective of the demonstration, the following partnership was set up : Institut Francais du Petrole, CGG, Delft University, ARMINES, POLIMI and Karlsruhe University.Results concerning the qualification of the synthetic dataset:- The initial Overthrust synthetic dataset was provided on tapes to the project, decimated to 50m between traces. Classic Data Sets" were defined and constituted as subparts of this initial dataset of common interest for research application or benchmarks, small enough to be easily distributed, but still representattive of actual marine, land or VSP surveys. Their list is described on the SEG/EAEG 3D Modelling series #1, 1997.- We found that the numerical accuracy and the model complexity was sufficient for our technical objectives. The sampling of traces to 50m is acceptable, because the limited frequency bandwith.- It should be noted that the model present important near surface velocity anomalies, with rather high velocity, which can not be accounted by classic static corrections.Results concerning prestack technologies:- The two methods tested for trace or short interpolation (3D shot continuation and predictor error filter) are both satisfactory for 3D shot interpolation.- The 3D