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 impact statement for 'Molecular mechanisms of rhomboid-like proteins in human immunity', explaining its relevance to EU policy priorities under Horizon 2020.

assistant: **Impact**

The immune system coordinates vital responses against a plethora of threats. It relies on well-described signalling networks via soluble proteins and cell-to-cell contacts. The secretory pathway traffics all secreted and surface proteins, but the mechanism of how immune cells control this process is unclear.Rhomboid-like proteins are a family of polytopic intramembrane proteins serine proteases and pseudoenzymes found in all organisms. Most eukaryotic rhomboid-like proteins regulate the fate of proteins in the secretory pathway. The rhomboid protease RHBDL4 is reported to regulate ER associated degradation (ERAD). The rhomboid pseudoenzyme, iRhom2, is essential for the trafficking and maturation of TACE, and subsequent TNF release in response to inflammatory stimuli in myeloid cells. Little is understood about the mechanism of how these rhomboid-like proteins regulate trafficking.I hypothesise that RHBDL4 regulates signalling networks in myeloid cells, similarly to iRhom2. Indeed, according to my preliminary data, RHBDL4 and iRhom2 are both expressed in human myeloid cells, and are induced by interferon gamma, a modulator of signalling networks in immunity.In this project, I aim to provide cell biological and mechanistic insight into RHBDL4 and iRhom2 regulation of signalling networks in human immunity. I will identify new interactors of RHBDL4 and iRhom2 via a novel biochemical screen called BioID. Candidates will be validated using conventional cell biological methodologies and a new interaction assay called M-Track. I will confirm these interactions in a quasi-physiological context, using a human ex vivo macrophage system. The biological significance of the interactions will be studied using detergent-permeabilised cellular systems of human macrophages. My focus on h
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 'Risk and Valuation of Financial Assets: A Robust Approach' will create measurable scientific, societal and economic impact aligned with Seventh Framework.

assistant: **Impact**

The recent financial crisis has brought to light the importance of correctly evaluating financial assets and their underlying risk. Any such valuation should be robust, i.e., should not be overly sensitive to the modelling assumptions. According to the Black--Scholes theory, which lies at the heart of most current valuation methods, the risk involved by a financial asset can be perfectly eliminated by pursuing a proper dynamic hedging strategy. Unfortunately, although formally elegant, this theory is too much of an idealization of the real world situation. The underlying model fails to be robust in two ways: the prices follow geometric Brownian motion, and transaction costs must be zero. The use of alternative models, e.g. based on fractional Brownian motion, was proposed more than 45 years ago by B.~Mandelbrot. The empirical findings give support to the use of such alternative models. Nevertheless, up to now these models could not be used to value financial assets, as they are not free of arbitrage. We propose an approach which makes it possible to value financial assets in an arbitrage free way, even in the framework of fractal models, by properly taking transaction costs into account. Our approach is based on utility theory. We also propose to control the risk of the related hedging strategies by imposing bounds in terms of risk measures. This allows for more realistic financial modelling with special emphasis on the aspect of the residual risk, remaining after hedging. From a mathematical point of view, our approach is based on the duality theory of infinite-dimensional optimization.
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 Europe proposal on 'Reading DNA in real time for medical applications'.

assistant: **Innovation**

The aim of this project is to use an ultra-fast, high throughput method for analysing DNA single molecules for liquid biopsy and other biomedical applications. The proposed methodology, Laser-Assisted DNA Optical Mapping (LADOM), allows retrieving the barcode of single molecules of DNA in real time, as they flow through a nanochannel in a fluidic device. It combines a cheap device fabrication, flexible DNA labelling (customizable for different applications), microscope- and camera-free set up, a read-out sensitive to single molecules, very high throughput (tens of molecules per minute), ability to detect very small fragments, and no limitation for the maximum molecules length, what is especially interesting for applications dealing with ultra-long intact, genomic DNA. In this project, we request funding to offer a service to analyze samples from possible stakeholders from the biomedical sector, and to standardize the technology and improve the troughput bThe aim of this project is to use an ultra-fast, high throughput method for analysing DNA single molecules for liquid biopsy and other biomedical applications. The proposed methodology, Laser-Assisted DNA Optical Mapping (LADOM), allows retrieving the barcode of single molecules of DNA in real time, as they flow through a nanochannel in a fluidic device. It combines a cheap device fabrication, flexible DNA labelling (customizable for different applications), microscope- and camera-free set up, a read-out sensitive to single molecules, very high throughput (tens of molecules per minute), ability to detect very small fragments, and no limitation for the maximum molecules length, what is especially interesting for applications dealing with ultra-long intact, genomic DNA. In this project, we request funding to offer a servi
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 'Evaluation of the Quality of Experience of Cochlear Implant Users Listening to Live Music Performances through Augmented Reality', explaining its relevance to EU policy priorities under Horizon Europe.

assistant: **Impact**

Hard-of-hearing (HoH) individuals are greatly limited in their interpersonal communications leading them to social isolation and loneliness. To mitigate the communication gap, cochlear implants (CI) were invented to improve speech intelligibility. However, music perception remains severely distorted due to its innate complex acoustical properties. Since music is a ubiquitous means for socio-cultural interactions, the inability to listen to it significantly degrades the quality of life of CI users.ARM4CI aims to enable CI users to perceive and appreciate music holistically through augmented reality (AR). Its objectives include organizing a database containing multimodal data of live music performances, utilizing the database to implement an intelligent system that transforms music that will be more perceivable by CI users, and integrating it into an AR system for evaluation of the quality of experience (QoE) of CI users. ARM4CI has the potential to impact the scientific community by providing a database that enables the development of machine learning algorithms, the CI users by improving their quality of experience in music consumption, and the music industry by introducing a new paradigm of listening to live music through AR.ARM4CI will be implemented in University College Dublin under the supervision of Dr. Andrew Hines. Through this project, a two-way transfer of knowledge is achieved since it combines my experience in multimodal data gathering and analysis of music performances, Dr. Hines' experience in designing algorithms to improve speech intelligibility for HoH individuals, and UCD's capacity to host AR-driven research. The fellowship is a timely opportunity for me to achieve my career goals of securing a tenure faculty position and setting up my own research la
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 'OvCa for Precision Medicine: Personalized Ovarian Cancer Treatment using High-Throughput and Microfluidic Drug Screening.' (OvCaPreMed).

assistant: **Concept**

OvCa for Precision Medicine: Personalized Ovarian Cancer Treatment using High-Throughput and Microfluidic Drug Screening. The main issue with current Ovarian Cancer (OvCa) treatments is the eventual resistance to standard platinum-based chemotherapy, which ultimately leads patients to relapse. Identifying drugs and drug combinations that overcome platinum resistance by new treatment strategies is an unmet medical need in OvCa patients that I plan to address with our technology pipeline as a Proof-of-Concept. I, Deepak Balaji Thimiri Govinda Raj, under the supervision and mentorship of Dr. Dalu Mancama (Precision Medicine) and Dr. Janine Scholefield (Synthetic Biology) at CSIR South Africa along with Prof. Nicholas Dunne and Dr. David Kinahan at Dublin City University (DCU), propose developing a cutting-edge technology pipeline with which I will identify and screen drugs and drug combinations for relapsed OvCa patients who have exhausted all other treatment options. I will use OvCa patient samples to validate the drug screening pipeline as a Proof-of-Concept. Our technology pipeline includes strategies where I will combine tissue engineering (Prof. Nicholas Dunne’s team) with microfluidic technology (Dr. David Kinahan, DCU), Chemstress platform (Dr. Jerry Clifford, ValitaCell) and my expertise in chemical biology accumulated during my PhD and three post-doctoral placements. Using this pipeline, we aim to identify drug combinations that can overcome platinum resistance and ultimately provide tailored-specific therapy options for OvCa patients. We intend our technologies to provide clinically relevant drug combinations information to oncologists.
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 'Avionics Systems Hosted on a distributed modular electronics Large scale dEmonstrator for multiple tYpe of aircraft' (ASHLEY) targeting Seventh Framework.

assistant: **Abstract**

In search for a more competitive, multiple types of aircrafts, IMA based, avionics platform solution, the European aerospace industry has recently initiated the IMA2G paradigm thanks to the EC funded SCARLETT project.This latter successfully validated a first underlying set of IMA2G concepts (Separate Core Processing resources from I/O resources, introduce resource segments typology of electronics solutions, provide platform services layer to function supplier etc.),  thus creating the expected Distributed Modular Electronics (DME) breakthrough to lay IMA2G solid rock foundations.The goal of the work within ASHLEY is to go on carrying out research on top of the existing SCARLETT state-of-the-art in areas where innovations are likely to make the most of DME growth potential :• Extension of DME concepts and solutions to other aircraft domains especially the open world domain, leading to the definition of DME security components.• Common remote I/O resources typology including high integrity, time critical remote solutions.• Multi-domains, secured Data Distribution services to streamline aircraft data distribution.• Development of an efficient system designer oriented IMA2G Tooling Framework solution that remains compliant with IMA2G industrial and certification constraints.• Development of a generation of digital i.e. smart sensors based on new advanced photonics technologies.ASHLEY innovations will be supported by advanced processes, methods and tools for an efficient implementation in the future and validated thanks to the ASHLEY Large Scale aircraft representative Demonstrator.By progressing as described above the European Industry will be in a position to offer a common secured multi-domain avionics platform solution across a worldwide range of aircraft types, at a hi
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 'Advanced Database for Biomaterials with Data Analysis and Visualisation Tools extended by a Marketplace with Digital Advisors' in the context of a Horizon Europe call.

assistant: **Objectives**

Biomaterials in healthcare span almost all medical fields, ranging from recognised materials to high-innovative smart and multi-functional biomaterials. One of the main challenges is to provide accessible and well-structured data of biomaterials for all relevant practitioners and user groups.BIOMATDB aims to create an advanced database for biomaterials providing detailed information on its properties. Flexible data analysis and visualisation tools support the search and selection process based on analyses of the results of biological testing of biomaterials from the scientific literature to incorporate data on as many of the material properties as possible.BIOMATDB also provides a web-optimised information marketplace and digital advisors to support companies, especially SMEs, in offering their products and properly presenting themselves at global scale. Initiated by biomaterial use cases, the web application will match the suppliers and demanders through intelligent matching tools and step-by-step decision support.BIOMATDB focuses on the creation of a label of biocompatibility to define the suitability of a biomaterial for use in a medical device or advanced therapy and to assist companies, especially SMEs, in choosing and facilitating market access for their products providing them a better guidance.All created technical systems and data processing methods are tested within existing open innovation testbeds and validation groups. Intuitive training manuals and compact online video tutorials support the use of the database, marketplace and label. Appropriate business models are derived for securing the long-term sustainability of the created solutions.The project has a significant impact on the findability and searchability of existing biomaterials at the pan-European
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 'Reinforcement learning via supervised learning' (RLVSL) targeting Sixth Framework.

assistant: **Abstract**

The field of machine learning develops learning paradigms and algorithms which allow systems to learn some desired functionality on their own. Supervised learning is learning with a teacher; some authoritative source provides a finite set of correct examples, and the learner generalises from the examples and learns a correct function over the entire spectrum. An example from human learning would be the learning of correct spelling by observing correctly spelled words. Reinforcement learning, on the other hand, is learning by trial and error; there is no teacher and the learner interacts directly with its environment to acquire information. The learner makes decisions arbitrarily and occasionally receives a numerical score (reinforcement signal) for its overall behaviour. This score does not indicate correct or incorrect actions, but can be used to reinforce good decision-making and discourage bad decision-making.An example from human learning would be the process of learning how to balance and ride a bicycle (falls incur negative scores). These two fields have been researched mostly independently. Recent advances in supervised learning have demonstrated outstanding, near optimal, generalisation performance. Reinforcement learning has not reached the same level of applicability to real-world problems. This research proposal investigates the potential of using supervised learning technology for advancing reinforcement learning. It is possible to incorporate supervised learning algorithms within the inner loops of several reinforcement learning algorithms and therefore reduce one problem to the other. This synergy opens the door to a variety of promising combinations. The proposed research will establish the criteria under which this reduction is possible, will investigate
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Draft the 'Objectives and Scope' section of a Seventh Framework proposal for the project 'Sentinels Synergy Framework'.

assistant: **Objectives**

The SenSyF project proposes a complete system for fully automated data acquisition and processing. This project will allow for the development and testing of new processing chains and methods for Sentinel and GMES contributing mission data on a continuous basis, and the delivery of higher-level products and services complementing the information provided by the (pre-)operational services.This system will be based on a dynamic parallel processing infrastructure, where the capabilities of grid computing applied to Sentinel data processing can be exploited and demonstrated. The SenSyF project will provide an infrastructure and interfacing tools for data access and dissemination, such that SMEs and scientists can develop and deploy Earth Science application with a lower overall cost of data, setup and maintenance. The complete system is designed as a fully automatic data processing framework, which will ease the generation and testing of new and innovative applications.On top of the Synergy Framework being proposed, a selected set of seven demonstrative services are also selected, which will 1) demonstrate the system’s potential, 2) provide valuable development feedback for the framework improvement, and 3) prove the overall concept by addressing specific services needs within the European and global setting.The SenSyF project draws on the experience and complementarity of its ten partners from across Europe, to propose a business-oriented solution in support the generation of value-added services, based on the usage of Earth observation data from the future GMES Sentinels missions. As exemplified by the seven proposed services, each of which addressing a particular need for higher-level information generation, the common, powerful back-end will let service providers concen
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 'Integrated bioconversion of glycerine into value-added products and biogas at pilot plant scale' (PROPANERGY), addressing dissemination and exploitation.

assistant: **Impact**

This proposal aims at developing an integrated bioprocess to convert technical glycerine from biodiesel production into biogas and two value-added products 1,3-propanediol (PDO) and fertilizer in a biorefinery approach. The process will be developed through laboratory to pilot plant scale and allows an easy integration into a biodiesel or a biogas plant. The project will overcome three major obstacles to the new use of glycerine: (1) partial use of the substrate; (2) inhibition of bioconversion by residual methanol and byproducts of the bioconversion which results in a limited product yield and concentration; (3) high energy costs for the downstream processing. The process has several other advances beyond the state-of-the-art through an integrated use of glycerine and nutrients and energy from biogas production. Briefly, glycerine is first converted into PDO and byproducts in a bioreactor. The byproducts are then converted into biogas which should deliver the necessary energy for product separation. In addition, a stream from the biogas reactor is used to convert residual methanol to biogas and to deliver nutrients for the bioconversion. This novel concept will lead to a complete use of glycerine and methanol residue from biodiesel production for a simultaneous production of energy and value-added products. The replacement of chemical processes and a glucose-based process by PDO from glycerine can reduce green house gas and other environmentally harmful emissions, and create economic benefits and job opportunities in Europe. The project and out-coming technology fulfils many requirements of the EU policies in environmental, economical and social domains. The concept has in particular a high replication potential for SME and allows demonstrating benefits notably for reg