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: Compose the 'State of the Art and Innovation' section for a Horizon 2020 proposal on 'Eliminating Oxygen Requirements in Yeasts'.

assistant: **Innovation**

Replacement of petrochemistry-based transport fuels and bulk chemicals by industrial biotechnology requires cost-efficient microbial processes, whose feedstock-to-product conversion efficiencies approach theoretical maxima. For many products, such high efficiencies require anaerobic processes and, consequently, industrial microorganisms capable of robust anaerobic growth. Yeasts are robust micro-organisms but, with the notable exception of Saccharomyces species, they share an important limitation with most other eukaryotes: they cannot grow anaerobically.Even Saccharomyces cerevisiae, the yeast responsible for industrial fuel ethanol production in large-scale anaerobic processes, requires sterols and unsaturated fatty acids (UFAs) for anaerobic growth. Depletion of these anaerobic growth factors deteriorates its fermentation performance. Several ethanol-producing, non-Saccharomyces species have highly attractive properties for industrial application, including a much higher thermotolerance and broader substrate range than S. cerevisiae. However, in addition to sterol and UFA synthesis, these yeasts have other, unidentified oxygen requirements. Unless the molecular basis for these oxygen requirements is elucidated, their huge potential for sustainable production of biofuels and chemicals cannot be accessed by industry.This proposal addresses the fundamental scientific question why so many yeasts that can ferment sugars to ethanol are nevertheless unable to grow anaerobically. Moreover, by enabling anaerobic growth of non-Saccharomyces yeasts, it aims to build yeast platforms with unprecedented advantages for industrial biotechnology. The proposed innovative approach to these challenges integrates cutting-edge experimental techniques in quantitative physiology and compara
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Compose the 'State of the Art and Innovation' section for a Horizon 2020 proposal on 'Molecular mechanisms of endosome departure from the spindle in asymmetric cell division'.

assistant: **Innovation**

During mitosis, cells can undergo asymmetric cell division, where daughter cells are endowed with different fates. Asymmetric division enables developing organisms to generate their particular diversity of cell types through a balanced combination of self-renewal and differentiation. Better understanding the mechanisms of asymmetric cell division will shed light on how cell renewal, differentiation and proliferation are controlled. In the longer term, this knowledge might enable regenerating defective cells in ageing and disease, generating cells of a particular identity for therapeutic purposes and tackling cell proliferation in cancer.The fate asymmetry results from a differential distribution of fate determinants between daughter cells. One way this segregation is implemented is through the directional trafficking of vesicles called endosomes along the microtubules of the mitotic spindle. While our understanding of the trafficking step has improved a lot through recent studies, it remains unclear how asymmetrically distributed endosomes at the spindle are ultimately released into the target daughter cell. This proposal aims at identifying the molecular mechanisms underlying this final, decisive step of asymmetric division: endosome departure from the spindle.We will work through four specific aims: 1 Characterise the dynamics of endosome departure under wild-type conditions, 2 Identify molecular interactions triggering departure, 3 Build a mathematical theory of the physics of departure,4 Test whether our proposed model can be generalised to other models of asymmetric division.Recent progress on directional endosomal trafficking has laid strong conceptual and practical frames to now focus on the next step of asymmetric division. Thus the proposed project is timely bo
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 'Universal Model of the Density of Deep Silicate Melts' (Glass2Melt).

assistant: **Concept**

The starting conditions for the Earth’s evolution were set by gravitational differentiation in the solidifying magma ocean. Yet, a thorough understanding of the magma ocean dynamics and thus of the primordial Earth is lacking. One key unknown is the density of silicate melts at high pressure, which determines whether the crystallizing phases rise or sink. Magma density also governs the storage, spatial distribution, and migration of melts in the present-day Earth. Densities of silicate liquids at mantle pressures and temperatures are extremely difficult to measure because of the tiny sample size, melt chemical reactivity, and its lack of crystalline structure. The use of glasses as proxies of melts lifts some but not all of these challenges. Albeit needed for a holistic picture of planet Earth, no density systematics exists for glasses or melts across the pressure range of the entire mantle.Glass2Melt will employ and further a novel class of fast white laser spectroscopy methods to measure the density of multicomponent synthetic silicate glasses and melts at mantle pressure-temperature conditions. Our approach is ground-breaking because it allows to thoroughly explore a large compositional space and determine the density of any deep silicate melt. Our results will (i) parametrize a universal silicate melt density model applicable to the entire mantle, and (ii) quantify solid-liquid buoyancy throughout the whole crystallizing magma ocean. Glass2Melt will have a broad, lasting impact on our understanding of the Earth’s interior and its evolution over geologic time. The new density model will provide critical input for future numerical simulations assessing fundamental questions about the solidification of the primordial magma ocean, as well as the initiation and developme
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 'Decision Support and Information Management System for Breast Cancer' in the context of a Horizon 2020 call.

assistant: **Objectives**

Breast cancer is the most common type of cancer affecting woman in the EU. Multidisciplinary Breast Units (BUs) were introduced in order to deal efficiently with breast cancer cases, setting guideline-based quality procedures and a high standard of care. However, daily practice in the BUs is hampered by the complexity of the disease, the vast amount of patient and disease data available in the digital era, the difficulty in coordination, the pressure exerted by the system and the difficulty in deciding on cases that guidelines do not reflect.DESIREE aims to alleviate this situation by providing a web-based software ecosystem for the personalized, collaborative and multidisciplinary management of primary breast cancer (PBC) by specialized BUs.  Decision support will be provided on the available therapy options by incorporating experience from previous cases and outcomes into an evolving knowledge model, going beyond the limitations of the few existing guideline-based decision support systems (DSS). Patient cases will be represented by a novel digital breast cancer patient (DBCP) data model, incorporating variables relevant for decision and novel sources of information and biomarkers of diagnostic and prognostic value, providing a holistic view of the patient presented to the BU through specialized visual exploratory interfaces. The influence of new variables and biomarkers in current and previous cases will be explored by a set of data mining and visual analytics tools, leveraging large amounts of retrospective data.Iintuitive web-based tools for multi-modality image analysis and fusion will be developed, providing advanced imaging biomarkers for breast and tumor characterization. Finally, a predictive tool for breast conservative therapy will be incorporated, based on 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: Compose a compelling abstract for 'Intelligent Degradation Design of Biomedical Rare Earth Magnesium Alloys' demonstrating excellence, impact and implementation quality for a Horizon Europe call.

assistant: **Abstract**

Magnesium (Mg) alloys, with their excellent mechanical properties, outstanding biocompatibility, and gradual degradation within the body, are demonstrating vast potential for applications in the medical field. Their greatest advantage lies in their ability to degrade in sync with the bodys healing process, eliminating the need for a second surgery to remove traditional implants. However, in chloride-rich physiological environments, Mg alloy implants are prone to rapid corrosion, leading to early failure and posing risks to patient health. To address this challenge, the DREAM project integrates cutting-edge research on Mg alloys, convolutional neural networks (CNNs), density functional theory (DFT) calculations, and pH-responsive materials, with the goal of developing intelligent biomedical Mg alloys with controlled degradation rates. First, the project will establish a comprehensive database of Mg-Zn-Ca-RE (rare earth) alloy corrosion and mechanical properties to support the accurate prediction of alloy performance using CNN models. By incorporating DFT calculations, the project will gain deeper insights into the corrosion and mechanical behaviours of Mg alloys, further enhancing the prediction accuracy of the CNN models. Ultimately, the optimized alloys will be combined with pH-responsive materials to achieve intelligent degradation control, ensuring the degradation rate aligns with the bodys healing process. Through this innovation, Mg alloys are expected to see a 30-40% improvement in corrosion resistance, a 50% reduction in experimental time, and a significant decrease in harmful waste production. The DREAM project will play a crucial role in the advancement of green medical technologies while driving innovation in biomedical materials.


**Keywords:** Rare Earth ma
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 'Navigation and perilous goods input and output system' (NAUPLIOS) targeting Fifth Framework.

assistant: **Abstract**

Nauplios aims to:- demonstrate the added value of GALILEO navigation integrity and precision signal in all aspects of maritime navigation.- evaluate the legislative measures that European authorities will have to prepare to take full advantage for the GALILEO public Interest Service signal.The goals of Nauplios are to:-enhance safe navigation based on an early identification of ships coming into coastal zones, a better accuracy on their location and improved reliability of Search and Rescue messages.- contribute to the settlement of frames for a European Maritime Safety Agency based on the definition of a Mission Control Centre simulating the main functions
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 'Grid-enabled know-how sharing technology based on ARC services and open standards' goes beyond current state-of-the-art under Sixth Framework.

assistant: **Innovation**

Grid technologies rapidly evolve from an academic peculiarity to a solid answer to problems of extended teams of users. Grid-based solutions are becoming critical tools in enriching wide collaborations, allowing their members to communicate and co-operate securely and reliably. Though widely accepted technology standards are not in place yet, several Grid solutions are already offering reliable services.The KnowARC project aspires to improve and extend the existing state-of-the-art technology found in the Advanced Resource Connector (ARC) middleware, which provides a set of reliable, non-intrusive, well-tested core services. KnowARC aims to significantly increase awareness and usage of such next generation ARC middleware. The resulting high performance and popular Grid solution will increase productivity in many areas of human activities through efficient expert know-how sharing. It will focus on intensive computational tasks, security and data handling, and will be powerful, efficient and yet simple to deploy, maintain and use.The vision of KnowARC is of an application expert sharing procedural knowledge with other members of the extended team by the creation of a specific software and data. The expert then uses Grid technology to create a know-how sharing environment, provides a characterisation of the field of application, and specifies who is allowed to use it. The efficient clients facilitate access to such environments. On a larger scale, the KnowARC Grid solution will foster the sharing of know-how between virtual organizations of providers and users.The result of the project will be extension of ARC to be a standards-compliant, interoperable Grid software, offering foundations for know-how sharing services for business and society. KnowARC will transform ARC int
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 'Local Addressing of Topological Interacting Systems' (LATIS).

assistant: **Concept**

The LATIS project builds on the latest advances in addressing individual atoms and engineering topological band structures in optical lattices, in view of exploring the rich physics of interacting topological matter with unprecedented control. Ultracold topological matter has recently emerged as a central theme in the realm of quantum gases. By manipulating ultracold atoms in optical lattices, various experimental groups have realized a variety of topological band structures and detected their characteristic features. Creating topological matter with ultracold atoms offers a novel view on intriguing phenomena initially discovered in the solid state but also allows for the realization of exotic states that are inaccessible in real materials. This quantum-simulation approach to topological matter generates a constructive synergy between theoretical developments driven by curiosity and concrete technological applications.  Until now, ultracold topological matter has been explored in the non-interacting regime of quantum gases, so that the observed quantities are associated with single-particle states. However, exciting avenues would become accessible upon combining engineered band structures with tunable interactions. This scenario would provide a concrete path towards the experimental realization of strongly-correlated topological states in ultracold gases. A promising path to create and address such states consists in manipulating a very small ensemble of atoms within a few lattice sites of an optical lattice, as now made possible by quantum gas microscopes. This setting would allow for unprecedented control over strongly-correlated topological matter, hence offering a unique framework for many-body quantum physics.  The results emanating from the LATIS project will have
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 'Safe Adaptive Software for Fully Electric Vehicles' (SafeAdapt) targeting Seventh Framework.

assistant: **Abstract**

The promising advent of fully electric vehicles also means a shift towards fully electrical control of the existing and new vehicle functions. In particular, critical X-by-wire functions require sophisticated redundancy solutions. As a result, the overall Electric/Electronic (E/E) architecture of a vehicle is becoming even more complex and costly.The main idea of SafeAdapt is to develop novel architecture concepts based on adaptation to address the needs of a new F/E architecture for FEVs regarding safety, reliability and cost-efficiency. This will reduce the complexity of the system and the interactions by generic, system-wide fault and adaptation handling. It also enables extended reliability despite failures, improvements of active safety, and optimized resources. This is especially important for increasing reliability and efficiency regarding energy consumption, costs and design simplicity.SafeAdapt follows a holistic approach for building adaptable systems in safety-critical environments that comprises methods, tools, and building blocks for safe adaptation. This also includes certification support of safety-critical systems in the e-vehicle domain. The technical approach builds on a SafeAdapt Platform Core, encapsulating the basic adaptation mechanisms for re-allocating and updating functionalities in the networked, automotive control systems. This will be the basis for an interoperable and standardized solution for adaptation and fault handling in AUTOSAR. The SafeAdapt approach also considers functional safety with respect to the ISO 26262 standard.SafeAdapt provides an integrated approach for engineering such adaptive, complex and safe systems, ranging from tool chain support, reference architectures, modelling of system design and networking, up to early valid
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 'Artificial Intelligence without Bias' (NoBIAS).

assistant: **Innovation**

Artificial Intelligence (AI)-based systems are widely employed nowadays to make decisions that have far-reaching impacts on individuals and society. Their decisions might affect everyone, everywhere and anytime entailing risks, such as being denied a credit, a job, a medical treatment, or specific news. Businesses might miss chances, because biases make AI-driven decisions underperform; much worse, they may contravene human rights when treating people unfairly. Bias may arise at all stages of AI-based decision making processes: (i) when data is collected, (ii) when algorithms turn data into decision making capacity, or (iii) when results of decision making are used in applications. Therefore, it is necessary to move beyond traditional AI algorithms optimized for predictive performance and embed ethical and legal principles in the training, design and deployment of AI algorithms to ensure social good while still benefiting from the potential of AI. NoBIAS will develop novel methods for AI-based decision making without bias by taking into account ethical and legal considerations in the design of technical solutions. The core objectives of NoBIAS are to understand legal, social and technical challenges of bias in AI-decision making, to counter them by developing fairness-aware algorithms, to automatically explain AI results, and to document the overall process for data provenance and transparency. We will train a cohort of 15 ESRs (Early-Stage Researchers) to address problems with bias through multi-disciplinary training and research in computer science, data science, machine learning, law and social science. ESRs will acquire practical expertise in a variety of sectors from telecommunication, finance, marketing, media, software, and legal consultancy to broadly foster leg