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 'Design and redesign of a plant immune receptor complex' goes beyond current state-of-the-art under Horizon 2020.

assistant: **Innovation**

This project will (1) reveal design principles of paired immune receptor complexes and (2) elevate plant disease resistance by enabling design of immune receptors with new recognition capacities.  Plant immunity is triggered upon pathogen detection by dedicated immune receptors. Like animal Nod-like receptors (NLRs), plant immune receptors have a modular structure and can work in pairs, both of which are required for defence activation upon recognition of specific pathogen proteins. How such intracellular immune receptor complexes activate defence solely upon recognition of microbial molecules is poorly understood.  Using novel high risk/high gain methods such as domain/domain cross-linking with mass spectrometry (XL-MS) and cryo-electron microscopy, as well as X-ray crystallography, genetics and cell biology, we will define at a structural level the domain/domain interactions within an immune receptor complex, and how these change upon pathogen perception. The Arabidopsis RPS4/RRS1 immune receptor acts in the cell nucleus to detect when pathogen effectors target WRKY transcription factors, converting effector interactions with the RRS1 WRKY domain into defence activation via RPS4. We will reveal the intra-molecular reconfigurations required for signalling and thus tackle a problem of broad significance, both for immune receptors, and for other intracellular receptors that are activated by ligand-dependent release from negative regulation. We will also create and test derivatives of RPS4/RRS1 or related complexes that are designed to respond to effectors that target other host protein domains. As Richard Feynman said, “What I cannot create, I do not understand”. By designing immune receptors to recognize other pathogen effectors, we will test models of how plant immune
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 'Hybrid Fluorescence Molecular Tomography and X-ray Computed Tomography system and method' (FMTXCT), addressing dissemination and exploitation.

assistant: **Impact**

This proposal offers to combine X-ray CT (XCT) and Fluorescence Molecular Tomography (FMT) into a hybrid, quantitative system and method. The project builds on state-of the-art knowledge that only recently became available in different European states as represented by the partners herein. In return it delivers the first such hybrid system worldwide.  The system will operate by 1) co-registering XCT images with highly performing FMT images for merging anatomical, functional and molecular contrast and by 2) combining XCT information into the FMT inversion to provide a system with superior imaging performance. XCT-based correction, as explained in this proposal, can improve FMT performance in a more radical way than corresponding “correction methods” used for improving PET or SPECT images. In this way FMT-XCT can reach the imaging accuracy of radio-nuclei-based tomography hybrid systems. By using fluorescence, FMT-XCT can then enable high flexibility in targeting physiology and molecular function, especially in multi-spectral mode, and high dissemination potential because virtually any biomedical laboratory has access to fluorescence reporting, compared to radio-nuclei based research that requires access to radiochemistry and cyclotron facilities.  FMT-XCT aims in advancing small animal imaging and drug discovery with a view towards the clinical application on non-invasive breast cancer imaging. For this reason, focus herein is given to imaging breast cancer and response to therapy. Overall the technology is ideally suited for commercial translation and has the potential to become the method of choice for in-vivo imaging in most biomedical laboratories and in select clinical applications. While it appreciates the value of nuclear imaging methods, this proposal will hopefu
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 clear, measurable objectives and define the scope for the project 'ATS Level SAT 2035 Forecast' (FORSAT2035) under Horizon 2020.

assistant: **Objectives**

This  proposal addresses the topic: “ATS Level SAT 2035 forecast“ (JTI-CS2-2016-CFP05-TE2-01-05) and it is devoted to perform forecasts for small air transport traffic, in terms of fleet and movements starting from 2015, passing by 2020/2025/2030 until 2035. This forecast will be detailed at country/region/world levels. Where gaps exist, an estimate will be made based on the methodology. More in detail the Technology Evaluator has requested: “The global fleet development and the share of European (Clean Sky) Aircraft” and “the development of movements per country between origin and destination airfields”.The overall objective of the project is: to analyze existing forecasts about the volume and movements, to establish a new forecast about the air traffic and fleet of small air transport up to 2035 at country/region/world levels and to estimate the market share of European products in the market.Generally the forecast of small air transport volumes depends on: technology progress and the associated cost reductions, demand related to “Gross Domestic Product” development and accessibility. This means that the future of the small air transport also depends on developing new concepts of operations, aircraft concepts business models and, business plans.  After the assessment of the existing forecasts by different sources and CleanSky related actions and outcomes, the methodology of harmonization and improvement of the small air transport forecast will be defined and finalized. The methodology based on a new dedicated  demand equation will include: definition of the economic, technology and societal drivers, harmonized business models and business plan as well scenarios to create and improved forecast model. The outcomes derived by such methodology will be completed (in case o
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 clear, measurable objectives and define the scope for the project 'A new era in personalised medicine: Radiomics as decision support tool for diagnostics and theragnostics in oncology' (PREDICT) under Horizon 2020.

assistant: **Objectives**

The high degree of tumour (genomic and phenotypic) heterogeneity influences patient’s response to therapy and hampers wide deployment of personalised medicine for cancer treatment. Thus, there is an imperative need for new technologies that can accurately detect tumour heterogeneity, allow for patient stratification and assist clinicians in providing the right diagnosis and treatment for the right patient. PREDICT’s mission is to address this huge unmet need.Radiomics, a newly emerging field that uses high-throughput extraction of large amounts of features from radiographic images, can boost the field of personalised medicine. The analysis of medical images taken as standard-of-care allows Radiomics to capture tumour heterogeneity and to generate ‘tumour-specific’ signatures in a non-invasive way, without the need of assessing the patient’s genetic profile. Thus, Radiomics, if linked to Big- data and decision support systems (DSS), can be used as diagnostic tool for patient stratification, for prediction of treatment response and for guidance, involving the patient, of clinical decisions in oncology. However, researchers that understand cancer biology, advanced imaging and big data analytics are virtually absent. Even more challenging is to translate the outcomes into actual clinical tools involving the patient.PREDICT will train 15 highly promising researchers in the emerging field of Radiomics and Big data. These ESRs will be trained to implement the automatic exploitation of large amounts of imaging data to drive decision-making algorithms that will guide diagnosis and treatment of different types of cancer and to develop ‘tumour-specific’ signatures integrated in multifactorial DSS. The ESRs will become experts and innovators in Radiomics, Big Data and DSS, which 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: Compose the 'Concept and Approach' section for a Horizon 2020 proposal on 'Adaptive Optical Dendrites'.

assistant: **Concept**

The increased demand for computation with low energy consumption requires entirely novel hardware concepts. In ADOPD we develop ultra-fast computational units based on optical-fiber technologies exploiting information processing principles used by neurons in their dendritic trees. Dendritic processing is highly condensed, local, and parallel and it allows also for non-linear computations. These properties will first be modelled and in a second step transferred to optical systems consisting of fiber optics as well as other optical components. For the first prototype, ADOPD uses well-established single-mode fiber technology to build an optical-dendritic unit (ODU). From there, we move on to cutting-edge multi-mode fibers to obtain an all-optical second prototype of a dendritic tree with significantly higher computing power and compactness. Finally we will design computational models of networks of multiple ODUs to quantify the computational efficiency such multiple, parallel operating devices. Thus, the optical dendritic units created by ADOPD represent a novel, cutting-edge computing hardware for fast, low-power, parallel computing, with the potential to help addressing the rising demands for computation.


**Keywords:** Biological Sciences, Computational Neuroscience.
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 the specific objectives and expected outcomes for 'Modelling pollutant transport across the soil-water-atmosphere conituum, and impacts on ecosystem services' in the context of a Horizon Europe call.

assistant: **Objectives**

Thanks to a unique upgrade of knowledge and advanced digital tools, SOILPROM will improve the modelling of soil pollution processes for metals, PFAS, nutrients, microplastics, and pesticides through soil, air, water, and plants compartments, to reach reduced levels of pollution and healthier soils across Europe. Using both existing European databases and local newly collected standardised datasets in accordance with DestinE and EUSO requirements, project partners will upgrade, integrate and validate existing soil pollution models under field conditions in its 6 diversified use-cases. The upgraded and integrated models will be usable in an open-access Modelling Platform for scientists coupled with a decision-support tool for practitioners. It will allow to gain knowledge and to increase the capacities in describing key pollution processes and their long-term impacts with respect to the different soil processes, functions, and related ecosystem services. Particularly, emphasis will be placed on quantifying ecosystem services in the 6 SOILPROM use-cases and the related impact of local policies and practices, leading to the development of scenarios. Thus, SOILPROM will deliver suitable recommendations to enhance the uptake of policies and sustainable soil management practices for environmental and human well-being. All along the project and through regular workshops, consultations, and meetings, SOILPROM will work in close collaboration with its end-users, ranging from the R&D community to local, national, and EU policymakers, but also various land managers and related EU projects.


**Keywords:** Modelling, integration, upgrading, pollution, ecosystem services, soil, water, atmosphere, plant
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: Draft an executive summary for the EU project 'Analysis of Combined Radiation Damage and Plasma Exposure on Tungsten Components for Fusion Reactor Applications' (RADFUSION) targeting Horizon Europe.

assistant: **Abstract**

This  study  addresses critical knowledge gaps in tungsten-chromium (W-Cr) alloy behaviour under fusion-relevant conditions. As fusion energy progresses,developing materials for extreme reactor environments is crucial. This research conducts a comprehensive comparison of W-Cr alloys and ITER-grade tungsten, focusing on their response to simultaneous radiation damage and plasma-material interactions. Using advanced experimental techniques and computational modelling, the study quantifies radiation effects,characterises plasma exposure effects, and evaluates their combined  impacts. A key innovation is the development of machine learning models to predict long-term material behaviour and usage of neural networks in image analysis. By benchmarking W-Cr alloys against pure tungsten and creating predictive models this project provides crucial insights for future fusion reactor design. Aligning with key research missions on neutron tolerance and safety, this project integrates cutting-edge materials science with fusion technology development, aiming to accelerate progress towards sustainable, carbon-free fusion energy.The project's multidisciplinary approach combines radiation physics, plasma science, and advanced materials characterization techniques. The findings will not only advance our understanding of W-Cr alloys but also contribute to the broader field of extreme environment materials, potentially impacting other areas of energy research and industrial applications. By addressing key challenges in fusion reactor materials, this project plays a vital role in the global effort to develop clean, sustainable energy solutions for the future.


**Keywords:** Radiation Safety, Plasma Facing Material , Fusion, Structural Safety, DEMO, STEP
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: Draft the 'Objectives and Scope' section of a Seventh Framework proposal for the project 'System Automation of PEMFCs with Prognostics and Health management for Improved Reliability and Economy'.

assistant: **Objectives**

The SAPPHIRE project will develop an integrated prognostics and health management system (PHM) including a health-adaptive controller to extend the lifetime and increase the reliability of heat and power-producing systems based on low-temperature proton-exchange membrane fuel cells (LT-PEMFC).The PHM system can actively track the current health and degradation state of the fuel-cell system, and through the health-adaptive control counteract the degradation of cells and balance of plant, and thereby boost the lifetime of the controlled system beyond the current lifetime expectancy. An important part of project is to develop novel prognostics approaches implemented in the PHM for estimation of the remaining useful life (RUL) of the PEMFC.An efficient sensor configuration for control will be chosen using controllability analysis methods, also including indirect sensing/estimation techniques to replace expensive measurement principles. Based on sensor inputs and input from the control system, the PHM algorithms identify the probable failure modes trajectories and estimate the remaining useful life. The consortium’s competence ranges from first principles estimation, to signal processing, regression and data-driven techniques, such as neuralnetworks. This ensures an efficient choice of methods.The project covers a full cycle of research activities, from requirement specification and laboratory experiments, through study of degradation phenomena and selection of prognostic methods, to synthesis of the control system and its testing on the target PEMFC system. A technical-economical analysis will be performed in order to assess the impact of the developed tool in terms of lifetime improvement.The project is expected to produce hardware and software solutions and have a signifi
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 a compelling abstract for 'Meaning and Understanding in Human-centric AI' demonstrating excellence, impact and implementation quality for a Horizon 2020 call.

assistant: **Abstract**

The MUHAI project explores a radically new approach to push the envelope of human-centric AI technology to come to grips with meaning and understanding. Meanings are distinctions (categories) that are relevant for prediction, classification, communication, problem solving or other mental tasks. The meanings of an experience include what events, actors and entities play a role, the temporal, spatial and causal relations between events, intentions and motivations of the actors, and values that implicitly underly their behaviour. Understanding is the process of reconstructing these  meanings and organizing them in terms of a coherent narrative that explains a new experience by linking it into a Personal Dynamic Memory. The MUHAI project will advance our ability to capture more of the rich and complex understanding that humans are capable of. It critically relies on enormous recent advances in technical AI components (such as deep learning networks) and semantic resources (such as knowledge graphs). In addition, the project will build novel components, such as: mental simulation of actions using gamified virtual environments and a powerful context mechanism to deal with the complexity of accessing, expanding and managing a very big dynamic memory (> 10-100 billion of facts). All these components will be assembled in a library called CANVAS, made available through the AI4EU AI-on-demand platform. The technical advances of the project will be developed and systematically tested in two challenging human-centric case studies emphasizing AI for the common good: (i) learning and using common sense every day knowledge on how to do things, in order to enhance well-being and empower common human activities, and (ii) learning about society through AI-supported analysis of historical
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 'Understanding the determinants of suicidal behaviour, serious accidents and violence in young people""' (SAVYP).

assistant: **Concept**

Direct comparisons of risk factor profiles for different forms of self-destructive, hazardous and violent behaviour in young people have rarely been made in the same study cohort. This maintains a possibly erroneous assumption that these behaviours have distinct aetiologies. These outcomes may represent different aspects of the same complex underlying aetiology, rather than being disjunctive phenomena. I shall collaborate with Professor Preben Mortensen and colleagues at the world renowned National Centre for Register-based Research (NCRR), University of Aarhus, Denmark to identify risk factors that are common across a set of poor outcomes in young people, and also those that are specific to particular outcomes. Among all Danish singleton births during 1980-1996, in a national cohort of over a million young persons, we will assess a comprehensive range of potential individual-level and familial risk factors for attempted and completed suicide, violent offending, and serious accidental injury and death. This cohort has complete ascertainment and follow-up at 15-29 years of age until 31st December 2011. My research team and I will utilise an exceptional array of interlinked registers. As well as conducting nested epidemiological studies based on rigorous and representative population-based sampling procedures, we shall also conduct sibling-comparison studies with the aim of identifying stronger indications of causality. My research topic is of considerable importance to countries across Europe and throughout the world. It is of particular relevance given the prevailing context of enduring macro economic stagnation, and the specific challenges that this milieu presents for young people as they approach maturity facing an uncertain future. I expect to generate novel finding