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: Draft an executive summary for the EU project 'Research of new hot flashless forging for long and flat pieces' (1994-1998) targeting Fourth Framework.

assistant: **Abstract**

Objectives and content The purpose of the project is to manufacture long and flat pieces by deposit-free hot flashless forging. This research aims at modernising the production process for medium and large-size pieces not obtainable by cold stamping, at shortening the production cycle and reducing the number of rejected parts.
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 Europe proposal on 'Investigating Transcutaneous Auricular Vagus nerve stimulation as a strategy to prevent Cognitive Aging. Tackling 3 basic questions.'.

assistant: **Concept**

The number of people with Alzheimer’s disorder (AD) and other dementia is expected to triple worldwide by 2050. To tackle the global burden of AD, the European Parliament acknowledges and points to the urgent need to develop interventions that can prevent or delay AD. The locus coeruleus (LC) in the brainstem plays a key role in determining late-life cognitive decline and is considered a promising therapeutic target to prevent AD. Transcutaneous auricular vagus nerve stimulation (taVNS) is a neuromodulation tool hypothesized to increase LC activity and, in turn, prevent cognitive aging. Evidence for an effect of taVNS on the LC is mixed which undermines the discovery of taVNS as a preventive strategy for AD. The current project aims to reveal whether taVNS increases LC activity in young and older adults. To this end, I will address 3 research questions. First, do short bursts of taVNS increase LC activity in a parametric-dependent manner in both young and older adults? Second, does the effect of taVNS on LC activity depend on the individual’s background arousal state? Third, does a short taVNS intervention improve a cognitive function that relies on LC activity? Addressing these questions is key to learn how to effectively activate the LC through taVNS and validate the mechanism through which taVNS may prevent AD. The project adopts a novel interdisciplinary approach integrating knowledge from psychophysiology (sub-field: respiratory psychophysiology), gerontology (cognitive neuroscience of aging), and neurostimulation (taVNS). As a taVNS and LC expert, I am particularly suited to successfully conduct the project. The fellowship will provide an exceptional chance to expand my expertise and receive top-quality training from internationally established experts in the fiel
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 'SPEECH RECOGNITION FOR DATA-ENTRY APPLICATIONS' (SPEEDATA).

assistant: **Innovation**

SPEEDATA is developing a system for entry to databases of structured and textual land-register data, with continuous speech as the main input medium. The tool will have general application wherever non-electronic information has to be interpreted and computer-stored, as in medical reporting, diagnostics and cataloguing. The user interface will offer a system able to adapt to speaker variation and dialect and operate with different languages. Although sound data entry will be possible without specialist intervention, users need not be concerned with the procedure or with organisation of data, and will be supported in its correction and verification.Progress Activities so far on the project have covered: - establishment of a user group and of the user requirements - market analysis of existing speech products and the market potential of SpeeData - preparation of a high-level design specification of the demonstrator, together with guidelines for the development phase - a preliminary development phase both for speech recogniser and user interface components. Software tools have been acquired for the development of the user interface. Preliminary data collection has been performed, involving Italian, German and bilingual speakers, and experiments on multi-lingual speech recognition have started. Development of language engineering components follows two paths: on the one hand, the speech recognition module is being adapted to the data-entry architecture, on the other, the central manager of the application is being developed. A first version of acoustic units of both languages has been trained and tested on part of the data recordedand this has been integrated into the first prototype which was completed at the end of December 1996. User requirements The user requirements 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: Compose a compelling abstract for 'Ubiquitin-dependent regulation of the microtubule cytoskeleton' demonstrating excellence, impact and implementation quality for a Horizon 2020 call.

assistant: **Abstract**

The microtubule cytoskeleton is a dynamic array of cylindrical polymers that play important roles in various cellular processes including chromosome segregation and ciliogenesis. Hundreds of accessory factors – grouped under the term microtubule-associated proteins (MAPs) – orchestrate this network by governing the interaction profile and growth behaviour of microtubules. Due to this critical function, the precise abundance and distribution of MAPs within cells is of high importance and their deregulation is associated with various human diseases, such as ciliopathies and cancer. Surprisingly little is known about mechanisms involved in the regulation of MAPs and so far only a few of them have been identified as targets of the major proteolytic control machinery in cells, i.e. ubiquitin-proteasome system. In this work, I will further explore how MAPs are regulated by ubiquitin-dependent degradation by focussing on a multi-subunit ubiquitin E3 ligase called SCFFbxw5 that seems to play an important role in microtubule control according to preceding experiments of the host lab. Hence, I will investigate in detail two MAPs that were identified as substrates of SCFFbxw5 by the host lab in order to unravel the functional, temporal, and spatial characteristics of their ubiquitylation by SCFFbxw5. Since these MAPs are known to fulfil crucial functions in ciliogenesis and chromosome segregation, this work will promote our knowledge about how ubiquitin-dependent degradation contributes to these processes and may open up novel therapeutic strategies with the associated diseases.
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 'Modeling and Simulation of Cancer Growth' demonstrating excellence, impact and implementation quality for a Seventh Framework call.

assistant: **Abstract**

Nowadays, the treatment of cancer is based on the so-called diagnostic paradigm. We feel that the shift from the traditional diagnostic paradigm to a predictive patient-specific one may lead to more effective therapies. Thus, the objective of this project is to introduce predictive models for cancer growth. These predictive models will take the form of mathematical models developed from first principles and the fundamental features of cancer biology. For these models to be useful in clinical practice, we will need to introduce new numerical algorithms that permit to obtain fast and accurate simulations based on patient-specific data.We propose to develop mathematical models using the framework provided by the mixtures theory and the phase-field method. Our model will account for the growth of the tumor and the vasculature that develops around it, which is essential for the tumor to grow beyond a harmless limited size. We propose to develop new algorithms based on Isogeometric Analysis, which is a recent generalization of Finite Elements with several advantages. The use of Isogeometric Analysis will simplify the interface between medical images and the computational mesh, permitting to generate smooth basis functions necessary to approximate higher-order partial differential equations like those that govern cancer growth. Our modeling and simulation tools will be examined and validated by experimental and clinical observations. To accomplish this, we propose to use anonymized patient-specific data through several patient imaging modalities.Arguably, the successful undertaking of this project, would have the potential to transform classical population/statistics-based treatments of cancer into patient-specific therapies. This would elevate mathematical modeling and simula
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 'The Role of Workers' and Employers' Bargaining Power in 'Distributional Workplace Accounts'' in the context of a Horizon Europe call.

assistant: **Objectives**

Social science explanations for rising inequality are incomplete in two significant ways. First, they commonly study income inequality through the narrow prism of earnings, overlooking key sources originating in the labor market, such as employee benefits and corporate profits. Second, and related to the first, research on rising inequality is still frequently conducted at the individual or national levels, neglecting workplaces, and in particular power relations at work. Conflicts arise and compromises are forged not primarily at the national level but within specific institutional settings, including the workplace. As a consequence of these two limitations, social science explanations of rising inequality neglect the complex fabric of workers’ and employers’ relative bargaining power, their multidimensionality and interdependence, and their resulting incomes.I propose to formulate an original account of income inequality that is new in three ways. First, by constructing what I refer to as “distributional workplace accounts” (DIWA), I plan to bring together for the first time all components of income – earnings, fringe benefits, and capital – of both employees and employers, at the workplace level. Second, based on DIWA, I will estimate the first statistics on the scope and dynamics of the division of earnings, fringe benefits, capital, and total workplace income to different social or income classes. Third, I will develop a novel theory explaining the institutional, structural, and status-based mechanisms of workers’ and employers’ relative bargaining power. Based on the new theory and an innovative empirical approach I will analyze the relations between relative bargaining power and the income shares of different social and income classes.  The proposed project will
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 'Design methods for offshore wind turbines at exposed sites' demonstrating excellence, impact and implementation quality for a Fourth Framework call.

assistant: **Abstract**

Objectives  Although a number of pilot offshore wind farms have been constructed in rather sheltered waters in Denmark, the Netherlands and Sweden, the full exploitation of the huge offshore wind energy resource in the EU will require the use of more exposed sites in locations such as the North Sea. The use of such sites brings the challenge of designing safe but cost-effective wind turbines and support structures in the face of a potentially hostile combination of wind and wave loading. The aim of this project is to develop the understanding needed for this challenge to be faced with confidence. This aim will be met through the achievement of the following objectives:  - to install a measurement system at the Blyth Harbour offshore wind farm capable of detailed measurements of the wind, waves and currents as well as the loading and response of one of the two wind turbines at the site. - To use the measurement system for a period of 12 months to establish a database of environmental and structural load measurements. The database will contain wind, wave and current measurements to fully characterise the the environmental conditions at Blyth Harbour, and structural measurements to characterise the dynamic loading of the rotor, drive train, tower and monopile foundation of the offshore wind turbine. - To analyse the database of environmental and structural measurements in order to derive a thorough understanding of the aerodynamic and hydrodynamic loads and their influence on the dynamic response of the offshore wind turbine and its support structure. - to use the Database of measurements to enable validation and Enhancement of state-of-the-art-methods for computer modelling and design analysis of offshore wind turbines. - to undertake parametric analyses for investigation
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 Seventh Framework proposal on 'CRYSP: A Novel Framework for Collaboratively Building Cryptographically Secure Programs and their Proofs'.

assistant: **Concept**

The field of software security analysis stands at a critical juncture.Applications have become too large for security experts to examine by hand,automated verification tools do not scale, and the risks of deploying insecure software are too great to tolerate anything less than mathematical proof.A radical shift of strategy is needed if programming and analysis techniques are to  keep up in a networked world where increasing amounts of governmental and individual information are generated, manipulated, and accessed through web-based software applications.The basic tenet of this proposal is that the main roadblock to the security verification of a large program is not its size, but rather the lack of precise security specifications for the underlying libraries and security-critical application code. Since, large-scale software is often a collaborative effort, no single programmer knows all the design goals. Hence, this proposal advocates a collaborative specification and verification framework that helps teams of programmers write detailed security specifications incrementally and then verify that they are satisfied by the source program.The main scientific challenge is to develop new program verification  techniques that can  be applied collaboratively, incrementally, and modularly to application and library code written in mainstream programming languages. The validation of this approach will be through substantial case studies. Our aim is to produce the first verified open source cryptographic protocol library and the first web applications with formal proofs of security.The proposed project is bold and ambitious, but it is certainly feasible, and has the potential to change how software security is analyzed for years to come.
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 Horizon 2020 proposal for the project 'Artificial Intelligence for Large-Scale Computer-Assisted Reasoning'.

assistant: **Objectives**

The goal of the AI4REASON project is a breakthrough in what is considered a very hard problem in AI and automation of reasoning, namely the problem of automatically proving theorems in large and complex theories. Such complex formal theories arise in projects aimed at verification of today's advanced mathematics such as the Formal Proof of the Kepler Conjecture (Flyspeck), verification of software and hardware designs such as the seL4 operating system kernel, and verification of other advanced systems and technologies on which today's information society critically depends.It seems extremely complex and unlikely to design an explicitly programmed solution to the problem. However, we have recently demonstrated that the performance of existing approaches can be multiplied by data-driven AI methods that learn reasoning guidance from large proof corpora. The breakthrough will be achieved by developing such novel AI methods. First, we will devise suitable Automated Reasoning and Machine Learning methods that learn reasoning knowledge and steer the reasoning processes at various levels of granularity. Second, we will combine them into autonomous self-improving AI systems that interleave deduction and learning in positive feedback loops. Third, we will develop approaches that aggregate reasoning knowledge across many formal, semi-formal and informal corpora and deploy the methods as strong automation services for the formal proof community.The expected outcome is our ability to prove automatically at least 50% more theorems in high-assurance projects such as Flyspeck and seL4, bringing a major breakthrough in formal reasoning and verification. As an AI effort, the project offers a unique path to large-scale semantic AI. The formal corpora concentrate centuries of deep human 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: Explain how 'Unravelling the pathogenic cell-cell circuits underlying the tissue memory of non-alcoholic fatty liver disease' goes beyond current state-of-the-art under Horizon Europe.

assistant: **Innovation**

With the obesity epidemic, global prevalence of non-alcoholic fatty liver disease (NAFLD) is currently at 25% and rising. NAFLD results from accumulation of excessive fat in the liver and covers a spectrum of disease states from simple steatosis (fatty liver) to severe non-alcoholic steatohepatitis (NASH). NAFLD patients are also at increased risk of developing secondary pathologies, including infections and paracetamol-induced liver damage, although the mechanisms behind this remain unclear. As no pharmacological treatment of NAFLD exists to date, patients are typically instructed to lose weight as this can alleviate symptoms. However, with the recent proposal of tissue memory of inflammation, including NAFLD, it is unclear if weight loss alone is sufficient to restore liver homeostasis or if recovered NAFLD patients remain more susceptible to secondary inflammatory events. Recently, the host labs have identified key cell-cell circuits that control the functional specialization of liver resident macrophages in the steady-state and fatty liver. These findings led me to hypothesize that NAFLD could lead to tissue memory by disrupting the interactions between resident liver cells and establish aberrant cell-cell circuits that maintain a pathological state even after weight loss. Furthermore, I postulate that this NAFLD memory could facilitate the relapse into NAFLD but also modulate susceptibility to secondary insults. Indeed, my preliminary data indicates altered susceptibility to paracetamol overdose.  Here, I propose to use single-cell RNA sequencing and epigenetics to investigate how cell-circuits in the liver are perturbed after NAFLD regression and identify the signals underlying these alterations. This project will further our understanding on how liver circuits ar
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 'Smart Magneto-Adaptive Resilient Technology for nonlinear vibration control of complex structures under Multi-hazard conditions' (SMART-M) targeting Horizon Europe.

assistant: **Abstract**

The global demand for resilient vibration control technologies in civil, bridge, and offshore infrastructure is rapidly increasing due to complex multi-hazard environments. Conventional damping systems often fail under highly nonlinear excitations, as demonstrated by historical infrastructure failures such as the Morandi Viaduct bridge collapse and offshore wind turbine damage. The SMART-M project addresses this urgent need by developing a next-generation magneto-adaptive resilient technology that integrates magnetorheological elastomers (MRE) with high-damping rubber bearings (HDRB), enhanced by intelligent, data-driven control algorithms. This combination enables real-time adaptive vibration mitigation, structural health monitoring, and long-term resilience against wind, seismic, traffic, and wave-induced excitations.The project will design and optimize the hybrid system using nonlinear finite element simulations with reduced-order models for MRE-based damping systems, enabling efficient, accurate predictions and robust optimization validated against experiments. Deep reinforcement learning (DRL) and physics-informed neural networks (PINN) will be employed to deliver for real-time vibration control and condition monitoring of advanced nonlinear vibration control in complex structure. A multi-mode damping architecture will allow seamless transitions between passive, semi-active, and active control, ensuring energy-efficient performance. Long-term durability and sustainability will be validated through accelerated aging tests and a life-cycle assessment.SMART-M will set a new benchmark in learning-enabled vibration control, supporting EU seismic risk policies and the Mission “Climate Adaptation”, while ensuring safer, sustainable structures and reducing maintenance cost