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 the 'Objectives and Scope' section of a Horizon 2020 proposal for the project 'Optimized Mesophilic Anaerobic Digestion Mixing'.

assistant: **Objectives**

The aim of this innovative Fellowship is to provide a robust numerical framework, based on novel developments in the fields of CFD and biokinetic modelling, to optimize mesophilic anaerobic digester (MAD) performance, by reducing energy consumption whilst maximising biogas production.By 2030 the world will have to produce 50% more food and energy and 30% more water. Consequently, most countries are implementing programs to reduce carbon emissions and enhance renewable energy production. MAD is the most widespread technology for the treatment of sewage sludge, the by-product of sewage treatment. This natural process uses bacteria to break down biodegradable material and produces a biogas rich in methane. The current drive to maximise energy recovery means that biogas from MAD is increasingly harnessed by combined heat and power technology. Thus, there exists the need to optimise digester performance to maximize energy recovery.The benefits of improved performance go beyond CO2 reductions, as they will facilitate environmental improvements, reduce operating costs and improve the financial performance of the European and global wastewater industry. The challenge is to improve digester control to minimize excessive mixing, so eliminating additional, unnecessary environmental and financial costs whilst maximising biogas output.We will simulate for the first time the complex relationships between hydrodynamic and microbiological processes in a MAD environment, whilst also recognising the potential for grit sedimentation within digesters. We will extend significantly previous work and use coupled CFD/MAD modelling as an innovative and robust technique to monitor and control the hydraulic and biochemical performance of MAD. Meeting the project aim will deliver an appropriate me
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 'Simulator to test automated non-invasive sphygmomanometer on compliance with the overall system accuracy defined in en 1060-3' will create measurable scientific, societal and economic impact aligned with Fifth Framework.

assistant: **Impact**

At present, the accuracy of automated non-invasive sphygmomanometers is determined solely in a clinical test as described in the harmonised standard EN 1060. However, the results obtained are of limited value with respect to device performance evaluation. A simulator, which is able to replay well-characterised biosignals recorded from humans will considerably improve the judgement on the device quality and reduces the number of required clinical tests. The objective is to develop such a simulator. This includes the development of a recording system and the establishment of a reference data set of blood pressure signals that reflects the common variability of blood pressure measurements acquired in practice. The signals will be thoroughly evaluated clinically and technically before becoming part of the reference database. Finally requirements and test procedures for the standard shall be developed as part of the work program.
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 'Perpetrators, Ordinary People and Violence during the Spanish Civil War (1936-1939): the case of Galicia' goes beyond current state-of-the-art under Seventh Framework.

assistant: **Innovation**

The Francoist repression and the rearguard violence in the Spanish Civil War has been analysed from different points of views in the past. However, no investigation has yet tried to focus in the question of the perpetrators and the attitudes of ordinary people whilst violence was happening. This particular question is related to important issues about the way violence changed dramatically the nature of one society and how many Spaniards became brutal killers in a short period of time. The main research line of the applicant will be to identify and analyse the character and main features of the Spanish Francoist Perpetrators through the case study of Galicia region between 1936 and 1939. The case of the particular area of Galicia is interesting because the main goals of the 1936 coup were accomplished in full there since the very first days of the Spanish Civil War, so there was no proper war in Galicia, only repression and rearguard violence. The big issue will be to know if the members of these vast numbers of “shooters” in the Spanish and Galician case had some gender, social, educational, or religious features to define them as a social and differentiated group. Another important objective related to this one is to answer the question of what made “ordinary people” in Spain to be transformed in brutal killers. It is intended to use both the biographic and socio structural approach to analyse this issue. The biographic approach will be used through the case-by-case study of some identified perpetrators in the Galician case. The socio structural one is related to the study of the ideological and socioeconomic background of the perpetrators. This Main Research Line also aims to identify the nature of the processes of stealing properties and material possessions to the v
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 'XSpectra: The Most Advanced Real Time Food Contaminants Detector' will create measurable scientific, societal and economic impact aligned with Horizon 2020.

assistant: **Impact**

Xnext is a small Italian high-tech company that has the ambition of revolutionizing the quality inspection in the food sector and the ultimate goal of providing a decisive contribution for the solution of food contamination problems. We aim at succeeding thanks to XSpectra®, the most advanced real time inspection detector.  XSpectra® is a disruptive technology as it overcomes all the weaknesses of conventional technologies, thus determining a relevant technological leap compared to all the existing solutions.  Based on X-ray multi-spectrum analysis, XSpectra® is capable, like no other technology, to analyze real time the physical-chemical features of the materials and identify foreign bodies currently not detectable.   The result of over 8 years of R&D, it’s a very complex system, combining 3 high innovations, all industrialized in-house: Photonics, Nuclear Electronics and Deep Learning Artificial Intelligence Algorithms.   XSpectra® is beneficial for the food producers as it improves significantly the production efficiency (minimizing the product batch discard as well as the costs for product recalls); for the consumer as it guarantees the highest safety standards for the quality of foodstuff; for the environment as it helps to reduce significantly the amount of wasted food from the production line.  XSpectra® has successfully completed the industrial prototype testing and is now installed for a field test on a production line. At the end of the project we will release the final industrial product and begin the commercialization worldwide. Thanks to high versatility of the system and the chemical-physical characterization capability, XSpectra® can be applied in several other fields: Pharma, Non-Destructive-Tests, material recycling, security controls, just to mention a
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 'Theoretical and empirical examination of the effects of shareholder diversification and mode of incorporation on firms' strategies and outcomes' (LYANDRES).

assistant: **Concept**

In this research we are interested in examining the effects of controlling shareholder diversification on firms’ operating strategies and outcomes. Our project involves the following logical building blocks: 1.Firms vary with respect to the degree of controlling shareholder diversification. 2.Firms’ controlling shareholder diversification feeds into their objective functions and in particular, their risk taking. 3.Operating strategies (such as investment/quantity/price decisions) as well as financial strategies (such as leverage and dividends) affect both the mean and variance of  profits and depend on the degree of diversification of controlling shareholders.  4.Firms’ strategies affect optimal strategies of their product market rivals. Product market competition can amplify the effects of controlling shareholders (lack of)  diversification on operating and financial strategies.  We contribute to the examination of the relation between owner diversification and firms’ strategies and outcomes along the following empirical and theoretical dimensions. 1.We use the most comprehensive data set (Amadeus) on both firms’ strategies and outcomes and on the diversification of controlling owners. which allows examining continuous distributions of controlling shareholders’ degrees of diversification.  2.We provide a theoretical analysis demonstrating the effects of shareholder diversification and public/private status on equilibrium ROA, profitability, and investment.  3.We examine the effects of product market competition on the differences between ROA, profitability, and investment of public and private firms and, more generally,  the effects of product market competition on the relation between controlling owners’ diversification on firms’ strategies and outcomes.  4.We examine
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 'PERSONALIZED REHABILITATION VIA NOVEL AI PATIENT STRATIFICATION STRATEGIES' (PREPARE).

assistant: **Concept**

PREPARE aims at advancing rehabilitation care for patients with chronic non-communicable diseases. As rehabilitation is a complex, multifaceted, and highly personal process, we currently lack reliable patient stratification and outcome prediction tools. While big data approaches provide a path forward, existing data sets pose numerous challenges. These challenges can be overcome by combining advances in clinical research, socio-behavioral and public health research, data science, and advanced statistical and AI learning methods.We will apply machine learning techniques on our large-scale patient data sets including key sociodemographic, living conditions, and behavioral information to stratify patients based on expected outcomes. A subsequent analysis will consider all potential predictors for rehabilitation outcome. Baseline strata and modifiers will be used to develop a comprehensive model of each clinical situation to increase management quality, improve outcomes, and reduce costs. As proof of principle we will develop a platform for sharing model results, exploiting the open-science EHDEN platform, and showcase the novel approach through pilot cases of nine pathologies which constitute the most dominant causes for rehabilitation worldwide: hand disorders, hip and knee prosthesis, intermittent claudication, lower limb loss, Parkinson’s disease/Parkinsonisms, scoliosis, spine disorders, temporo-mandibular articulation, and hypertension. We will also develop a certification roadmap. PREPARE will result in innovative, robust, personalized, and validated data-driven computational prediction and stratification tools to support healthcare professionals and patients in selecting the optimal therapy strategy.


**Keywords:** personalized rehabilitation, hand, limb and spine
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 'Deconstructing gene regulation through functional dissection of the 3D genome'.

assistant: **Concept**

The three-dimensional organization of the genome inside the nucleus (3DG) is crucial for gene regulation. Although the fundamental building blocks of the 3DG have been identified, how they contribute to gene regulation is incompletely understood. In recent years my lab has started to functionally dissect the 3DG in order to understand the effects on gene expression. The current proposal intends to expand this work and aims to i) broaden the array of proteins that are known organize the 3DG, ii) determine how loss of these proteins affects the 3DG and iii) elucidate how this influences gene expression.The key to this is to induce changes in the 3DG by acute protein depletion and measuring changes over time. We have preliminary data showing that by depleting regulators of the 3DG we can induce changes within a few hours. We will deplete a range of proteins in pluripotent and differentiated cells to determine their contribution to 3DG organization. Simultaneous characterization of the epigenome and transcriptome will allow us to determine the sequence of changes. In addition, we will perform Thousands of Reporters Integrated in Parallel (TRIP) after perturbation of the 3DG. TRIP reporters all have the same minimal promoter that acts as a sensor for promoter-enhancer (mis)-communication. By combining TRIP with 4C we can measure the changes in the reporter-enhancer interaction landscape. Our data will generate fundamental insight into the parameters that govern the interactions between promoters and regulatory elements, within the context of the 3DG, and their effects on gene expression. Furthermore, it allows us to determine the temporal order of changes in the 3DG, the epigenome and gene expression, which is essential for the establishment of cause-and-effect relationships
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 Fourth Framework proposal on 'Pathogenesis of membrane damage in Duchenne Muscular Dystrophy (DMD)'.

assistant: **Innovation**

Duchenne muscular dystrophy affects the muscular system of young boys. The affection is progressive, the patient becomes more and more invalidated and death inevitably occurs, around the age of twenty, due to failure of the respiratory muscles and the heart. The genetic defect is now identified: it concerns the gene of a large molecule called dystrophin", located on the p21 region of chromosome X.In healthy patients dystrophin is localized just under the cell membrane. It is absent in the Duchenne patient. The pathogenesis of the disease is unknown. Since the discovery and cloning of the dystrophin gene, potential gene therapy is the object of intense research. The group of the Institut Gustave Roussy in Villejuif (France) has succeeded in inserting a large part of the dystrophin cDNA into an adenovirus. The resulting protein has been called "minidystrophin" and is stably expressed in transfected muscle fibres of young mice. It is essential to test if minidystrophin can confer a functional recovery where it is expressed. The possibility to sustain forced elongations during contraction will be a critical test for the evaluation of the functional recovery. A study has been conducted in the laboratory of the Department of Physiologie in Brussels (Belgium) which shows that fast skeletal muscles from mdx mice are very sensitive to mechanical stress when they are forcibly stretched while already contracted, a finding which points towards a genuine membrane weakness in dystrophin lacking fibres. The group of the II Institute of Physiology in Heidelberg (Germany) has shown that native sarcolemma vesicles obtained from mdx muscle fibres are less stable when the osmolarity of the surrounding medium is reduced compared to normal controls. Similar experiments will be carried out on
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 'Cross Layer Algorithms for Phealth' (CLAP), addressing dissemination and exploitation.

assistant: **Impact**

One Laptop per Child (OLPC) is a technology research oriented educational project aiming to provide low cost information processing equipment to children around the world with new opportunities to explore, experiment and express themselves. The project was initiated by MIT Media Lab and has recently concluded the first cycle research work that resulted to the basic configuration laptop ready to be shipped. The healthcare domain is of special relevance for this project. A WSN of vital sign sensors (including electrocardiogram, blood pressure, etc.) and mobile wireless display devices (the OLPC in our case) can be employed to monitor patient health in an outpatient environment (e.g. home or care center).This research discipline is known as phealth. A number of medical wireless portable actuators (including respirators, infusion pumps, etc.) using the information of the vital sign sensors can be employed to care a patient in an emergency hospital set-up after a disaster. The OLPC project represents a new challenge for pHealth because by nature it creates electronic communities of educated users in technologically poor or even virgin environments. Health status on the other hand, together with education, represent the two major challenges for those parts of the developing world that have found (even partial) solutions on drinkable water and nutrition. An OLPC interconnected community has the means to support a prevention initiative aiming at facilitating disease management and health status control within a larger (to the community) population, by monitoring, processing and transmitting personal, ambient and environmental parameters. Today’s pHealth systems assume a technology advanced environment. Mitigating it to the OLPC reality should take into account power consumption
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 'ROBUSTIFYING GENERATIVE AI THROUGH HUMAN-CENTRIC INTEGRATION OF NEURAL AND SYMBOLIC METHODS' (ROBUSTIFAI).

assistant: **Innovation**

Generative AI (GenAI), such as foundation models, represents a powerful and transformative class of AI capable of learning patterns from data and generating new content. However, GenAI has notable shortcomings that can lead to misuse or hinder its widespread adoption and positive societal and economic impact. These shortcomings stem from its lack of robustness in three key areas: technical, operational, and user robustness. Addressing these challenges in foundation models, especially in the context of human cyber-physical systems (HCPS)—the most demanding GenAI applications in terms of robustness—will pave the way for solutions applicable across various domains, unlocking GenAI's full potential.Building on the EU’s competitiveness in constructing and assuring dependable complex systems, RobustifAI, a 3-year project with a budget around €9M, brings together 18 leading partners spread over 10 EU countries but also Switzerland and India, to  tackle the above three-dimensional robustness challenge in GenAI systems. We aim to make a step change to the existing GenAI system development paradigm by developing and promoting a rigorous design and deployment methodology for building robust GenAI systems. The methodology is based on the following three orthogonal innovative axes: (1) techniques to understand, express, and embed human-centric needs within the neural model, (2) principled methods for integrating neural models and symbolic techniques, and (3) enabling the adaptivity of GenAI systems to environmental changes and user variations. RobustifAI will actively contribute to on-going EU initiatives on AI, such as the AI-BOOST project on AI challenges and other EU projects on AI efficiency, autonomous vehicles, or service robots. Its successful execution  will secure for the E