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 'TEST-INNOVATIVE LOAD APPLICATION  MONITORING SYSTEMS'.

assistant: **Innovation**

The objective of this proposal is to overcome the conventional experimental set-up commonly used in structural testing as the proposed for measuring the torsional and bending stiffness of the HLFC Leading Edge configurations by experimental testing. Conventional instrumentation for measuring displacement, like LVDT contact sensing elements; or for stress measuring, like strain gauges or punctual data obtained from fiber Bragg grating, will be replaced for several newfangled solutions in order to develop a new and an innovative monitoring system for the qualitative and quantitative assessment of stress-strain events during structural testing such as overloads, defects appearance or even defect growth. For uniform load application, improved innovative technology will include, a combination of direct uniform load application, with an emerging technology probed successfully for others applications, capable to apply uniform loads for complex tunable elastic strains. This issue will allow control the deformation process as decided for torsion bending of wanted strain case. For the innovative monitoring system, classical punctual and contact strain measurement, will be replaced by a combination of novel SHM (Structural Health Monitoring) sensors in order to qualitative and quantitative assessment of stress-strain during structural testing. Four emerging technologies will be previously proved in laboratory for ensuring a properly performance during the test.  These technologies will include elements for the first damage detection; the identification and quantification of stress-strain events, overloads and hot-spot point with non-contact measuring elements; the quick overall deformation measurement for FEM correlations;  and the continuous strain measurements for internal areas
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 'Sustaining access to Tissues and data frOm Radiobiological Experiments' in the context of a Seventh Framework call.

assistant: **Objectives**

The sharing of data and biomaterials from publicly funded experimental radiation science adds enormous value to the original investment. Sharing will yield substantial scientific rewards through re-analysis and new investigations. The goal of STORE is to generate a platform that will allow the storage and retrieval of both data and the corresponding biological material from past, current and future radiobiological studies. The STORE project will perform four tasks: 1) Deliver a “Data Warehouse” that will also present a single portal to radiobiological information distributed over scientific centres throughout the world. 2) Provide a foundation for the creation of a “virtual” store of biological material. 3) Establish Standard Operating Procedures (SOPs) on how best to evaluate, store and use the biological material to ensure that the collection, archiving and storage of these non-renewable materials are state-of-the-art. 4) Assess potential financial models for long term support of a bioresource and Data Warehouse for radiobiology. STORE will thus provide a mechanism for ensuring the future survival of these invaluable and irreplaceable resources and provide a platform for the sharing of new data across the radiobiology community
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Write a project proposal abstract for 'Does two equal 2? Notational representations in the human brain' to be submitted under Sixth Framework.

assistant: **Abstract**

How human beings process numbers is a fundamental question with extensive impact on almost every aspect of life, both in normal and clinical populations. The aim of this proposal is to find some answers as to whether numbers are represented in an abstract way in the human brain, whether there are multiple representations for different numerical notations, and how learning shapes the way in which we represent numbers.Most theories of numerical cognition support the assumption that the representation of numbers is abstract and therefore notation independent. Accordingly, the reaction time profiles for the comparison of different notations, such as digits (e.g., 2), number words (e.g., TWO), or numerosity (e.g. ,) are identical. Converging evidence for the abstract numerical representation comes also from imaging studies.However, there are three caveats to these findings:- Stimuli that yield similar response functions can still be processed by distinct mechanisms.- There might be segregated representations at the neuronal level that cannot be revealed in conventional fMRI analysis, which is confined to the few millimeters of a single imaged voxel, and highly specialized neurons might be co-localized within such a voxel.- All previous imaging studies have involved response selection.This is crucial since it has been shown recently, that response selection and number processing activate the same brain areas. Hence, the shared activation for different notations might be due to response selection demands or in sufficient spatial resolution, and not to a notation independent comparison mechanism.The proposed project will be based on the promising combination of advanced imaging techniques such as functional magnetic resonance imaging, event-related potentials, transcranial magn
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 concept and methodology overview for 'Scalable Bayesian Methods for Machine Learning and Imaging' under Seventh Framework.

assistant: **Concept**

Machine learning seeks to automatize the processing oflarge complex datasets by adaptive computing, a core strategy to meet growingdemands of science and applications.Typically, real-world problems are mapped to penalized estimation tasks (e.g.,binary classification), which are solved by simple efficient algorithms. Whilesuccessful so far, I believe this approach is too limited torealise the potential of adaptive computing. Most of the work, such as dataselection, feature construction, model calibration and comparison, still has tobe done by hand. Demands for automated decision-making (e.g., tuningdata acquisition during an experiment) are not met.Such problems are naturally addressed by Bayesian reasoning about uncertainknowledge, which however remains infeasible in most large scale settings.The main goal of this proposal is to unite the strengths of penalizedestimation and Bayesian decision-making, exploiting the former's advanced stateof the art in order to implement substantial improvements coming withthe latter in large scale applications. A major focus is on improving magneticresonance imaging (MRI) by way of new Bayesian technology, driving robustnonlinearreconstruction from less data, and optimizing the acquisition throughBayesian experimental design, applications not previously attempted by machinelearning. Far beyond the reach of present methodology, these goals demanda novel computational foundation for approximate Bayesian inference throughnumerical algorithmic reductions.This project will have high impact on probabilistic machine learning, raisingthe bar for scalable Bayesian computations. It will help to open up a whole newrange of medical imaging applications for machine learning. Moreover,substantial impact on MRI reconstruction research is anticipated.
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 'NEW STRATEGIES FOR THE EARLY DIAGNOSIS, RISK STRATIFICATION AND CO-MANAGEMENT OF FAMILIAL HYPERCHOLESTEROLEMIA'.

assistant: **Innovation**

Familial hypercholesterolemia (FH) is the most common inherited metabolic disorder in the world with about 2.5 million Europeans affected. An accurate diagnosis through genetic testing confirms the disorder in only about 50% of the cases. Different effective treatments to reduce cardiovascular disease exist; however these high-risk individuals are not being clinically identified. FH-EARLY will enable new strategies for earlier diagnosis and co-management of familial hypercholesterolemia facilitated by well-defined data flows, identifying new mechanisms through multiomics, explainable AI modelling and co-creation with families with FH and caregivers. Its specific objectives are:1.Use co-creation methods to involve FH patients, families and care teams during the project.2.Enhance 4 federated multi-modal datasets collated from established cohorts, and realworld datasets.3.Conduct large-scale functional characterization of FH-related gene variants, to illuminate affected protein function and the variability of the FH phenotype4.Develop and test an integrative precision health profiling methodology using explainable AI for FH risk prediction.5.Test and validate a new chip array for early diagnosis6.Establish clinical and health economic benefits for the signature biomarker in a multicenter interventional study for FH screening.7.Integrate the early signature biomarker into clinical practice to improve treatment selection and risk assessment of FH and severe hypercholesterolemia patients FH-EARLY will deliver a chip array for earlier, cheaper diagnosis, a signature biomarker assay for unique risk stratification and a XAI driven integrative precision health profiling tool. These will help reduce the burden of atherosclerotic cardiovascular disease, while shifting towards a hol
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 'Properties of nanomaterials made from misfit-layered compounds revealed by electron microscopy and simulations' will create measurable scientific, societal and economic impact aligned with Horizon 2020.

assistant: **Impact**

The novel class of nanomaterials made from misfit-layered compounds offers intriguing properties. However, due to the complex, non-symmetric, structure of the misfit-layered compounds even down to the atomic scale, the analysis of these nanomaterials is a highly challenging task. Our PROMISES proposal will allow to reveal the structure and (opto)electronic properties of these nanomaterials (especially 1D nanomaterials) by combining an experimental and theoretical approach. The experimental analysis comprises advanced electron microscopy and spectroscopy at high spatial resolution as well as related experimental techniques, such as x-ray photoelectron spectroscopy and cathodoluminescence, all of which will be applied to analyse individual nanostructures. The obtained experimental results, particularly once the atomic structure has been revealed, will serve as a basis for the theoretical analysis that will be conducted via ab-initio simulations using the time-dependent variant of the density functional theory. We especially strive for studying these 1D nanomaterials under external stimuli such as elevated and liquid-nitrogen temperature and biasing to assess their properties under application-relevant conditions by employing in-situ electron microscopy. With this approach, we intend to fully reveal the structure and properties of the nanomaterials, which will be of great interest to a broad audience and potentially fuels their application. The work will be carried out by an experienced researcher with a strong background in methodological development of electron microscopy who will diversify and enhance his competences by means of an experimental analysis of the novel class of nanomaterials and by acquiring skills in computational physics. In addition, our PROMISES propos
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 'Object oriented formalization of the software architecture style for heterogeneous information systems.' in the context of a Fifth Framework call.

assistant: **Objectives**

The software architecture of heterogeneous information systems will be investigated in detail to make some progress for analyzing and comparing software architectures by means of combining a standardized object oriented modeling language with a formal object oriented specification language.
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Write a project proposal abstract for 'Diet, genomics and the metabolic syndrome: an integrated nutrition, agro-food, social and economic analysis' to be submitted under Sixth Framework.

assistant: **Abstract**

The primary focus of LIPGEN is the interaction of nutrients and genotype in the metabolic syndrome. With access to a large prospective cohort followed biannually for 7 years and with hard clinical and nutritional data, a unique opportunity exists to determine diet-gene interaction in the development of the metabolic syndrome. To ascertain the responsiveness to dietary fat modification, a large multi-center dietary intervention study will examine how diets varying in both fat content and composition influence insulin sensitivity and other aspects of the metabolic syndrome including gene intervantions. Parallel studies at molecular, cell and whole body level will investigate mechanisms linking dietary fat and the metabolic syndrome. A key aim of the animal nutrition component is to reduce saturated fat and increasing monounsaturated fatty acids (MUFA) and n-3 long chain polyunsaturated fatty acids (n-3 LC-PUFA), whilst avoiding an increase in trans fatty acid intake. The objective of the plant biotechnology section is in the area of metabolic engineering of linseed, using marine algal genes to transgenically reconstitute the LC-PUFA biosynthetic pathway. These studies will be accompanied by a detailed economic analysis of the health costs of the metabolic syndrome across the EU and the implications of indivdual drug versus population nutrition intervention. It wil also look at the cost implications of implementing the new animal nutrition and plant biotechnologies in primary food production. Consumer attitudes to new agro-food technologies and the use of genomics in personalized nutrition will also be examined. Finally, a demonstrations project will show how in practice these fat-modified foods can be created and be used to reduce the risk facators of the metabolic syndro
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 'Production of sustainable, advanced bio-ethANOL through an innovative gas-fermentation process using exhaust gases emitted in the STEEL industry' in the context of a Horizon 2020 call.

assistant: **Objectives**

The proposed STEELANOL project is based on producing bioethanol via an innovative gas fermentation process using exhaust gases emitted by the steel industry. The proposal addresses the specific topic “Demonstrating advanced biofuel technologies” (LCE-12– 2014), under the call for competitive low-carbon energy in Horizon2020.The BF/BOF gaseous emissions are an unavoidable residue from the steelmaking process and are currently used for electricity production or being flared. Nevertheless, they can be advantageously used to produce bioethanol, thereby reducing the usage of fossil fuel molecules and thus significantly reducing GHG emissions. The bio-ethanol production would have a GHG impact that is over 65% lower compared to oil derived fuels STEELANOL’s main objective is to demonstrate the cost-effective production of sustainable bioethanol, with the purpose of assessing the valorisation of this ethanol biofuel as a fuel derivative for the transport sector. A demonstration plant of approximately 64,000 tons/ethanol per year will be built; the first of its kind in Europe, and the largest facility built to date utilizing this technology globally. ArcelorMittal is the lead partner of this project and proposal. The gas fermentation technology will be supplied by LanzaTech, the engineering work will be performed by Primetals, and E4Tech will develop the Life Cycle Assessment of the produced fuels. Several key players in the transport sector, Boeing, Virgin Atlantic, Mitsui, have expressed their strong interest and support for the project.


**Keywords:** Carbon capture and re-use, sustainable use steelmaking off gases, bio-products
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 concept and methodology overview for 'Intelligent Breast Cancer DiagnOsis and MonItoring Therapeutic Response Training Network' under Horizon Europe.

assistant: **Concept**

CanDoIt will show how a smart multimodal multi-physic sensor array associated with DNA oligonucleotides and their peptide nucleic acid (PNAs) analogues dedicated for liquid biopsies analysis has the potential for more accurate diagnostic and treatment monitoring of BC through the study of cutting-edge technologies in bio/nanomaterials, sensors and transducers design, fluidics systems, and artificial intelligence. The CanDoIt objectives are to: (1) Train the excellent next generation researchers for interdisciplinary careers in basic, applied and especially translational BC research and with “raising awareness” on social issues; (2) Develop cutting-edge technologies for BC diagnosis and monitoring therapeutic response by bringing together eminent experts from both industry and academia, including engineers, computational scientists, chemists, physicists, and clinicians; (3) Pursue key biological targets through intelligent methods, all the way from early stage to preclinical and clinical investigation; (4) In addition to respond to the BC issue, the intelligent biosystems proposed will be a real technological advance (breakthrough), thanks to the association of different transducers to go towards a multimodal platform, the association of structured nanomaterials inspired by living world and an implementation of intelligent algorithms for optimal analysis; (5) Build a high-impact structure ensuring multi-level dissemination and exploitation of all results.


**Keywords:** Breast Cancer; Novel diagnostics tools; Exosome; Nucleic acid; innovative Biosensing systems; Translational research; Research training
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Write a project proposal abstract for 'Coherent Raman Imaging for the Molecular Study of the OrigiN of diseases' to be submitted under Horizon 2020.

assistant: **Abstract**

CRIMSON aims to provide a next-generation bio-photonics imaging device based on vibrational spectroscopy, with the potential to revolutionise the study of the cellular origin of diseases allowing for novel approaches towards personalised therapy. We will employ label-free broadband coherent Raman scattering (CRS) extended to the fingerprint region, in combination with artificial-intelligence spectroscopic data analysis, for fast cell/tissue classification with unprecedented biochemical sensitivity. We will develop a hyperspectral CRS microscope for 3D quantitative imaging of sub-cellular compartments in living cells and organoids. High acquisition speed will enable the observation of intra- and inter-cellular dynamic changes by time-lapse imaging. We will simulate future in-vivo studies and demonstrate the capability to image inside the body, realizing an innovative CRS endoscope and applying it to ex-vivo thick tissue slides. CRIMSON relies on the development of new compact ultrafast lasers, innovative broadband CRS detection schemes and advanced spectral analysis routines.To validate the CRS platform, we will investigate three open biological questions related to cancer, as paradigmatic examples of the complexity and heterogeneity of cellular diseases. The results will have profound societal impacts, improving patients’ quality of life and reducing public healthcare costs.CRIMSON brings together a multidisciplinary team of world-leading academic organizations, biomedical end users and innovative SMEs, with vertical integration of all required skills. CRIMSON will bridge the gap between research and product development, increasing the TRL and making CRS a user-friendly, robust and cost-effective mainstream tool for a vast biological research community. Commercial explo