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: Describe how 'Lowering transport envIronmentAl Impact along the whole life cycle of the future tranSpOrt iNfrastructure' will create measurable scientific, societal and economic impact aligned with Horizon Europe.

assistant: **Impact**

LIAISON provides knowledge and technical solutions to limit transport infrastructures (TI) emissions, both caused by transport infrastructure itself and to which transport infrastructure contributes. LIAISON covers the whole life cycle of TI to which extent TI design can influence and limit the overall emissions from construction, maintenance, operation and decommissioning of the infrastructure in a digital environment for next future TI. LIAISON adopts a holistic approach to tackle this challenge, because the development of particular technical solutions is not sufficient to achieve low environmental impact TI if they are not part of a broader strategy. The only effective way to ensure the implementation of paradigm-shifting technical solutions in the TI sector is to implement a governance framework (as the Dynamic Multi-Infrastructure Governance Framework -DMIGF) that activates, articulates and monitors compliance with circular economy principles throughout the life of the infrastructure when developing and implementing these solutions. LIAISON will develop a collection of innovative technological solutions to reduce the environmental impact of the TI (materials consumption, emissions and footprint), minimize their LCC and optimize energy management (becoming prosumers), which will based on in the industrialization of the construction process, circular economy and digitalization of the operation, maintenance and decomissioning tasks. Specifically, the solutions to be developed are smart and sustainable beams, rigid road pavements and improved ballast; bioasphalts and smart pavement inspection system; intelligent tunnels control system and photovoltaic guardrails. LIAISON developments will be demonstrated in different TI (roads and railways) and in different European c
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 novelty, innovation potential and advance beyond the state of the art for 'NetZeroAICT  Digital Contrast for Computerised Tomography Towards Climate Neutral and Sustainable Health Systems' (NetZeroAICT).

assistant: **Innovation**

Computerised Tomography (CT) scan is one of the most common medical imaging performed in healthcare, Each year, 300 million CT scans are performed globally. Of which, around 180M include use of radiocontrast media (RCM). Contrast Enhanced CTs (CECT) create a significant environmental impact, namely: 42,000 tonnes of single use packaging, 900 Tonnes of surgical steel (needles), 90,000 tonnes of plastic tubing and 150,000,000 kWh in energy consumption. These generate on average 9.2 kg of CO2/ scan. In addition, CECTs generates 200,000 tonnes of iodine contamination in water/yr. This is a recognised form of ‘pharmaceutical pollution’.  CECTs may also harm patients: needle insertion, toxicity of iodinated RCMs to kidneys (potentially kidney failure) and allergic reactions, which in some cases can be life-threatening. Healthcare systems are responsible for the 4.4% CO2 global emissions (2 Giga tonnes/yr). Of this, ~3 Mega tonnes/yr are generated from CECTs. The EU has declared its NetZero targets of by 2050 through the European Green Deal. We showed feasibility that artificial intelligence (AI, deep learning methods) can extract high level information from non-contrast CT scans and synthesise contrast ‘digitally’. This avoids the need to administer RCM for CECTs. We seek to develop and validate 5 uses cases of  CT ’Digital Contrast’ during this Horizon award. By implementing ‘Digital Contrast’ for scans globally, we aim to reduce 30% of the CO2e and iodine RCM waste generated from CECTs by 2033.NetZeroAICT has a grand vision to define a reference framework for scalable development of AI health tools for a future of sustainable health systems. This builds on our prior efforts of AICT consortium, which was established to make CT imaging safer, more efficient, more equitable an
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 novelty, innovation potential and advance beyond the state of the art for 'Fast-MAS Solid-State NMR as a Bypass to High-Molecular-Weight Proteins in Solution' (2021-2027).

assistant: **Innovation**

My objective is to establish methodology expanding the detailed characterization and exploitation of backbone dynamics in complex proteins up to 80-100 kDa monomer molecular weight. Experimental elucidation of protein motion is imperative for fundamental understanding of enzymatic and regulatory features. However, with a limit of regularly around 40-50 kDa maximum total mass, the more complex targets of current scientific interest usually evade solution NMR backbone resonance assignment and remain inaccessible for the majority of sophisticated methods for protein dynamics. This paradigmatic shortcoming has led to serious limitations in the understanding and exploitation of protein dynamics.Here I aim to achieve a two-fold expansion of the accessible molecular-weight range by an unprecedented hybrid strategy. Based on the unmatched prospects of 4D and 5D solid-state NMR (ssNMR) assignment data for a 2x72 kDa protein, I will establish proton-detected, higher-dimensionality ssNMR methodology as a powerful framework for NMR assignment in an unprecedented size range. Subsequently, developing strategies utilizing ssNMR assignments as a springboard to solution NMR will enable detailed characterization of those targets under close-to-physiological conditions. This fundamentally new BYPASS strategy will allow understanding of intramolecular regulatory circuits and coupled motional networks in innumerable, previously inaccessible complex proteins, with a transformative impact for dynamics, in particular allosteric regulation, in structural biology.Fueled by my role as a key player in revolutionizing solid-state NMR via proton-detected, fast magic-angle spinning NMR methodology, my achievements will be paradigmatic for the accessibility and utility of dynamics for the structure-dy
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 impact statement for 'Demonstration of sustainable hydropower refurbishment', explaining its relevance to EU policy priorities under Horizon Europe.

assistant: **Impact**

Hydropower and storage capacity need to increase to meet the need for renewable and dispatchable power generation. According to IEA, worldwide hydro-power capacity should increase from 1,360 GW in 2021 to 1,563–1,782 GW by 2030 and up to over 2,500 GW in 2050. At the same time, hydropower refurbishment projects must implement modern sustainability standards that preserve biodiversity and contribute to climate change mitigation and adaptation. The main objective of ReHydro is to demonstrate how European hydropower can be refurbished and modernized to be fit for a leading role in the future power system respecting sustainability requirements and societal needs in a climate change context. A suite of monitoring and digital tools (performance, cavitation, machine health) implemented at demonstration sites will improve hydropower efficiency. Innovative concepts like retrofitting with pumped hydro and hybridization will make hydropower fit for future markets.ReHydro will demonstrate how biodiversity can be improved with new fish-friendly turbines, re-establishment of environmental flows, and monitored using new tools such as eDNA. Smarter use of water resources will also be implemented so that more services can be delivered to the power markets, while multi-purpose use of the water resources for navigation and recreation can be expanded and the ability to mitigate flooding and droughts is strengthened.The results from ReHydro will achieve all the expected outcomes specified in the call. The solutions will give European hydropower industries commercial advantages to utilise the global need for hydropower expansion. It is expected that ReHydro's exploitable results will create 700–1150 new jobs in the manufacturing industry, increasing the global market by 275 mill euros.ReHydr
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 'Wind turbine blade Anti / De-icing, combined Ultrasonic guided wave and vibration system' in the context of a Seventh Framework call.

assistant: **Objectives**

The DeICE-UT project will overcome the current limitations of existing wind turbine blade de-icing systems by developing an innovative dual de-icing system combining both high power ultrasonic guided waves and low frequency vibrations. Previous work on helicopter blades has shown that low frequency vibrations are highly effective at de-icing across the blades except at the leading edges, whilst the application of ultrasound shows very good de-icing where the US power is high. The DeICE-UT project will apply these 2 technologies in combination to wind turbine blade applications, where the synergistic effects of the 2 technologies both prevent ice accumulation and remove already formed ice. To achieve high ultrasound powers within the required regions of the blade, guided wave US technologies will be utilized. By doing this, DeICE-UT will provide a solution that will enable the safe and reliable operation of wind turbines in adverse weather conditions and achieve the following benefits:• Significant reduction of downtime for ice-prone sites across the EU leading to increased efficiency and reliability of the wind turbines and increased income for wind turbine operators.• Significantly reduced maintenance and increased component lifespan, leading to reduced maintenance costs for wind turbine operators.• Significant reduction of energy to operate system – 2% of turbine power output for DeICE-UT compared to >12% for other systems.• Significant increases in the number of wind turbines located in extreme climatic regions and reduced residential complaints.• Significantly reduce the danger of accidents resulting from ice thrown from the blades.The SME consortium target a significant penetration of the EU market within a 5 year period, achieving sales of ~ €71.5 million and crea
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 'Gut-Brain Communication in Metabolic Control' in the context of a Horizon 2020 call.

assistant: **Objectives**

Communication between the gut and the brain is essential for metabolic function. Sensory afferent neurons are key gut-brain connectors that monitor gastrointestinal (GI) tract organs, including the stomach, the duodenum, the liver, and the portal vein area, and thereby critically contribute to systemic energy and glucose homeostasis regulation. Disruption of this neural gut-brain communication develops in obesity and correlates with overeating, body weight gain, and insulin resistance. However, the relevant sensory neuronal populations innervating the GI tract organs along with the pertaining underlying metabolic neurocircuitry still remain to be elucidated. To date, advances in this field have been impeded by the challenges associated with targeting distinct sensory neurons of vagal and spinal origin in a cell-type and organ-specific manner, thereby making the accurate determination of their metabolic function highly difficult. Thus, the proposed comprehensive research program will employ a combinatorial set of modern molecular systems neuroscience tools and novel mouse genetic approaches to (1) elucidate the role of specific sensory neurons in feeding behavior and glucose metabolism, (2) determine the functional metabolic neurocircuitry of GI tract-innervating vagal and spinal afferents in an organ-specific manner, (3) study the effects of obesity on their transcriptomes, and (4) map their functional connectivity as well as synaptic adaptions to downstream brain sites. Collectively, the overarching goals of these four autonomous but complementary projects are to gain greater insights into the integral components of sensory neurons as gut-brain connectors in controlling metabolism as a first step to developing new therapies to treat obesity.


**Keywords:** Neural cont
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 'Myosins and the dynamics of intracellular membranes' in the context of a Seventh Framework call.

assistant: **Objectives**

Myosins are fascinating proteins with unique biochemical and physical properties. The multiple roles that they play in the dynamics of intracellular membranes are only beginning to emerge. Recent findings from the research team have highlighted unexpected roles in membrane deformation and in membrane fission played by two myosins (myosin 1b and myosin II) functioning at the interface between the Golgi, TGN (Trans-Golgi Network) and endosomes. Building on these results, we propose to establish a comprehensive model describing how several myosins work in concert with F-actin and with microtubule-based motors for sustaining transport events and membrane dynamics in a region of the cell at the crossroads of complex trafficking pathways.Towards this general objective, our main goals are:Goal 1: to understand the role of myosin 1b in membrane deformationGoal 2: to understand the role of nonmuscle myosin II in membrane fissionGoal 3: to characterize the actin structures required for myosin functionsGoal 4: to identify and to characterize other myosins functioning at the Golgi/TGN/endosome interface and to investigate their functional coordinationGoal 5: to understand how myosins are functionally coordinated with microtubule-based motors.The function of myosins will be studied both at the cellular and physical level using two main original methodological approaches available to the research team: minimal in vitro assays (giant liposomes and membrane nanotubes) and normalized cell systems (micropatterns).This proposal represents a new development in the activity of the research team composed of cell biologists, experimental and theoretical physicists. Success of this proposal will rely on the strong experience of cross-disciplinary approaches that allowed the research team in th
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 'Structure-function analysis of e2f transcription factors' (1994-1998) targeting Fourth Framework.

assistant: **Abstract**

Deregulation of cell cycle progression is a fundamental feature of a number of human diseases, including cancer. In the mamalian pathway, the retinoblastoma protein (pRb) acts as a key regulator of the late G1 restriction point, where fundamental decisions are taken whether a cell should proliferate, differentiate, or undergo apoptosis. Critical for pRb's ability to regulate cell proliferation is the binding to and inhibition of certain members of the E2F transcription factor family (E2F-1 to -3). The physiological function of the two pRb-homologs, plO7 and pl30 is not known, and they have not been found altered in any human cancer so far. p 107 and p 130 associate with and inhibit the activity of two other members of the E2F family (E2F-4 and -5). In this project, I propose to investigate what domains of the E2F proteins are important for their biological and biochemical function. Once important domains have been delineated, the physiological function of the domains will be evaluated, and protein(s) interacting with the domains will be identified and the cDNAs cloned.
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 'Rectifiability and Density in Carnot and Homogeneous Groups, and Applications to Partial Differential Equations' goes beyond current state-of-the-art under Horizon Europe.

assistant: **Innovation**

The core of this project is Geometric Measure Theory (GMT) in Homogeneous Groups. The PI suggests exploring exciting original research avenues regarding the interplay between the concepts of flatness, density, and regularity of measures, and their applications to the theory of Partial Differential Equations (PDEs) and Free Boundary Problems (FBPs) in non-Euclidean spaces. The projects potential for groundbreaking discovery is achieved by focusing on the investigation of i) the extension of the very classical density problem, whose solution in Euclidean spaces is codified in the celebrated Preiss' rectifiability theorem, to parabolic and Kolmogorov spaces; ii) the quantitative Reifenberg Theorem for measures in the parabolic space  and quantitative dimensional estimates of the mutual singular set for the caloric measure in a two-phase problem; iii) the interplay between differentiability of Lipschitz functions and fine geometric properties of Radon measures in general Homogeneous Groups. As a byproduct of the study of iii), it will be obtained a converse to Pansu's Differentiability Theorem.


**Keywords:** Geometric Measure Theory, Preiss's Rectifiability Theorem, Free Boundary Problems, Homogeneous Groups
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 'Cloning of the friedreich ataxia gene and characterization of the encoded protein' goes beyond current state-of-the-art under Fourth Framework.

assistant: **Innovation**

Friedreich ataxia (FRDA) is a severe neurodegenerative autosomal recessive disorder which affects the central and peripheral nervous system. It has an incidence of about 1 in 50000 in European populations. As the primary biochemical defect is not known, positional cloning represents the best option for the identification of the defective gene. The combination of rare recombination(s) analysis and of gene exclusion by absence of causal mutation allowed us to narrow down the FRDA gene to a 300 kb interval. The objectives of the project are: 1. Search for the FRDA gene. 41 potential exons were isolated from a contig of overlapping cosmids by three different approaches, exon trapping prediction from random sequencing and cDNA selection. These potential exons will save to identify genes in the critical region by RACE PCR, exon connection and cDNA library screening, and will allow to search for mutations in patients in order to identify the Friedreich ataxia gene. 2. Unravelling the FRDA protein function. I will produce monoclonal antibodies against the FRDA protein, which will be used for the cellular and subcellular localisation of the FRDA protein. I will also initiate the construction of a mouse animal model for the disease, as this model will serve to understand the physiopathology of the disease and to test various therapeutic approaches.
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 'Quantum Technologies Accelerating Stochastic Tasks' to be submitted under Horizon Europe.

assistant: **Abstract**

Quantum Dice is pioneering Q-TASTic, the world’s first probabilistic processor, integrating quantum photonic randomness with stochastic computing to unlock unparalleled efficiency in AI, optimisation, and scientific modelling. Current deterministic computing architectures struggle with probabilistic tasks, relying on pseudorandom number generators (PRNGs) that introduce inefficiencies and energy waste. Q-TASTic overcomes these limitations by leveraging true quantum randomness, enabling faster, more energy-efficient solutions.The project aims to scale up Quantum Dice’s TRL6 prototype to TRL8, developing a fully functional probabilistic computing platform. Key advancements include a universal architecture for stochastic tasks, an optimised compiler, and a scalable cloud-based deployment model. By combining hardware-accelerated randomness generation with a flexible computational framework, Q-TASTic will deliver 10x energy savings and 10x speed improvements over classical approaches.The impact is broad: AI inference, logistics optimisation, climate modelling, drug discovery, and financial risk analysis will all benefit from improved computational efficiency. Q-TASTic aligns with the EU’s Digital Decade Strategy, AI Act, and energy efficiency goals, contributing to Europe’s leadership in high-performance computing. With strong backing from investors, industry leaders, and research institutions, Q-TASTic is set to revolutionise next-generation computing while fostering technological sovereignty and sustainability.


**Keywords:** next-gen computing, high performance computing, probabilistic computing, stochastic modelling