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: Describe how 'A computer aided engineering approach to smart structures design' will create measurable scientific, societal and economic impact aligned with Sixth Framework.

assistant: **Impact**

Smart Structures Technology offers tremendous opportunities for improving the performance, quality and environmental impact of products in many industrial sectors. The key challenge is to bring the current fundamental breakthroughs on the level of material s, electronics and control to the level of industrial use in integrated applications. To realize this, the smart systems should not any longer be considered as a product add-on. The material and smart system design process must become part of the complete, integrated, product creation process, requiring the development of an adapted simulation-based Computer Aided Engineering methodology. The objective of this Research Training Network is to develop such modelling framework for designing macro-scale active noise and vibration control applications based on the integration of intelligent, high-performing, material systems. This requires the development of modelling capabilities for the intelligent material systems and sensor/actuator components, for the control systems as well as for their integration in system-level virtual prototyping models, enabling the evaluation of performance as well as reliability and cost aspects. Making this next step in smart systems goes beyond the technological developments. The key requirement is that the various domain specialists on the level of materials, electronics, control systems, design simulation, dynamics, noise, vibration etc, step outside their niche expertise domain and get fully acquainted with the multidisciplinary aspects related to the integration of all these components in industrial applications. Without this, smart structures will remain an academic topic. As such integrated knowledge is at present not available with product and subsystem designers, a multidisciplinary
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 'Development of new methodologies for low abundance proteomics: application to cystic fibrosis' to be submitted under Sixth Framework.

assistant: **Abstract**

The objective of this proposal is to identify new low and medium abundance proteins involved in the pathophysiology of cystic fibrosis (CF), proteins that may constitute new diagnostic and prognostic biomarkers and be helpful in the development of new dr ugs for CF. To achieve this we will develop tools and standardize protocols for new approaches to study proteomics and facilitate generation of new knowledge in functional genomics. High performance techniques will be used and/or developed: Radio-isot ope and classical detection methods for differential display of proteins including their splicing variants and post-translational isoforms, i.e. the supersensitive analysis of 2D electrophoresis gels by a radio-isotopic technique (ProteoTope), Hig hly sensitive chromatographic methods for lipid analysis associated with different proteomic approaches for proteome-lipidome interactions, Surface plasmon resonance (Biacore®) for detection of interacting proteins, Protein sequence determination by mass spectrometric techniques (MS) using new, high sensitivity modalities including, Surface-Enhanced-Laser-Desorption-Laser/Ionization Time-of-Flight Mass Spectrometry (MS), FTICR-MS , multidimen- sional liquid chromatography -MS, Innovative bio-i nformatic tools. Our methodological goals are: To apply an integrated proteomic system for the detection of low and medium abundance proteins to different biological models of CF (serum, nasal ciliated cells, neutrophils, cell lines), To improve th e sensitivity of MS for the peptide sequences of differentially displayed proteins, To develop the MS methodology for analysis of protein without 2D gel protein separation To develop new tools for protein-, DNA-, and lipid- protein analysis. Our proje ct main goals are: To develop and apply highl
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 'GENOME-WIDE CHARACTERIZATION OF TRANSCRIPTIONAL REGULATORY ELEMENTS, PATHWAYS AND ASSOCIATED GENETIC VARIATIONS INVOLVED IN THE PATHOGENESIS OF CORONARY ARTERY DISEASE', explaining its relevance to EU policy priorities under Seventh Framework.

assistant: **Impact**

GENTRECAD builds on PROCARDIS, a large European integrated project designed to identify susceptibility genes for coronary artery disease (CAD). CAD has a complex multifactorial aetiology including a substantial heritable component. The current challenge addressed by GENTRECAD is to identify and characterise the genes and gene variants that are functionally implicated, as a basis for designing new targeted treatments and diagnostics.   Inflammation plays a key role in the development of CAD. GENTRECAD will take a systematic approach to the in vivo identification and characterization of genomic regulatory regions and active binding sites of selected transcription factors that are expressed and control gene expression in inflammatory macrophages and aims at revealing common genetic variation that affects these processes. Expected deliverables include a limited number of key regulatory pathways in macrophages that are implicated in CAD. Secondly, novel bioinformatics tools will be provided for in silico prediction of regulatory elements and pathways. Results from GENTRECAD will be relevant to other common disabling multifactorial inflammatory diseases as well.   Through GENTRECAD, the applicant will be trained in state-of-the-art methodologies in genomics, proteomics, applied bioinformatics and clinical genetics. The multidisciplinary nature of the project will develop her collaborative skills, promote in dependence and increase competitiveness.
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 'Making Sense of Nonsense' (2007-2013), addressing dissemination and exploitation.

assistant: **Impact**

The emergence of networked embedded systems and sensor/actuator networks has made possible the collection of large amount of real-time data about a monitored environment. Depending on the application, such data may have different characteristics: multidimensional, multi-scale, spatially distributed, time series. Moreover, the data values may be influenced by controlled variables, as well as by external environmental factors. However, in many cases the collected data may be incomplete, or it may not make sense for various reasons, thus compromising the sensor-environment interaction and possibly affecting the ability to manage and control key variables of the environment. Such problems are generally the result of some fault in the sensor/actuator system itself or an abnormality in the monitored environment, which may be either permanent or temporary, developing abruptly or incipiently.  These problems become more pronounced as sensing/actuation systems get older. The main objective of this project is to develop intelligent methods for analyzing and interpreting the data such that faults are detected, isolated and identified as soon as possible, and accommodated for in future decisions or actuator actions.  The problem becomes more challenging when these sensing/actuation systems are used in a wide range of environments which are not known a priori and, as a result, it is unrealistic to assume the existence of an accurate model for the behavior of various components in the monitored environment.  Therefore, this project will focus on cognitive system approaches that can learn characteristics or system dynamics of the monitored environment and can adapt their behavior and predict missing or inconsistent data to achieve fault tolerant monitoring and control.
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 'Conformational dynamics of proteins in the solid state' (2007-2013).

assistant: **Innovation**

Conformational dynamics are intimately linked to the biological activity of proteins, thereby regulating the essential processes of life. In particular protein motion plays an essential role in catalysis, allowing conformational rearrangements to align key catalytic amino acids and in ligand binding allowing the entry of co-factors into areas that would otherwise be inaccessible. Mobility also plays a major role in the thermodynamic stability of functional states; in molecular recognition processes that often involve disorder-to-order transitions; and in allostery and molecular signalling, where correlated molecular motions can transmit information between distant sites in a protein. Dynamic transitions also mediate the onset of pathological malfunction and disease. NMR spectroscopy is uniquely suited to study a large number of these dynamic processes, resolving detailed and important site-specific information about motions spanning a vast range of time scales in both folded and unfolded proteins, and in both the liquid and the solid phase. We believe that the key to understanding the complex relationship between protein dynamics and molecular function and malfunction requires an accurate description of the behavior of proteins in their different phases and forms, and an understanding of the transition between different states. In this study we are interested in developing a self-consistent framework for measuring and describing protein dynamics in the solid state. To this end in this project we propose to develop a number of NMR methods extending substantially the scope of accessible protein motions in solids. This work is a part of concerted collaborative effort that couples for the first time NMR data from both solid and solutions with complementary data from elastic
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 'Novel Statistical Methodology for Diagnostic/Prognostic and Therapeutic Studies and Systematic Reviews'.

assistant: **Concept**

Novel statistical methodology promises to greatly facilitate development of approaches for personalised medicine. While state-of-the-art statistical techniques have already advanced clinical trials and diagnostic/prognostic studies as the major source of evidence in clinical medicine, increasing availability of molecular techniques holds an even greater promise. However, for leveraging such information for individualised diagnosis/prognosis, and treatment, the corresponding complex structures have to be adequately modelled and results have to be aggregated by corresponding advanced meta-analytic approaches. The main goal of the project is to establish a joint research-training programme by an interdisciplinary and intersectorial network for providing early-stage researchers with deep insight into cutting-edge statistical methodology. The research area of statistical methodology for diagnostic/prognostic and therapeutic studies and systematic reviews is well suited for early-stage training purposes, as it comprises a wide range of theoretical and applied biostatistical tools that need to be mastered, further developed, and translated into clinical research and practice. Europe-wide exchanges will also be ensured to meet the need for mobility in today’s globalised society. Further career relevant knowledge and skills will be provided through a structured design of education. The early-stage researchers will be trained according to an individually supervised, comprehensive and complementary programme. The structure of these activities is based on the training-through-research approach of the network. The collaboration of leading biostatistical experts will stimulate the discovery of promising statistical methodology useful for the design and analysis of clinical research.
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 'Simulation with hardware-in-the-loop for advanced assembly system design, prototyping and testing' to be submitted under Fifth Framework.

assistant: **Abstract**

Manufacturers of special purpose assembly systems are faced in every project with the task to design new process equipment in a cost efficient way. Design and building of this equipment is characterised by little repeatability of overall solutions. Often new technical solutions need to be developed under tight time limitations in one step from CAD design to full operability. This leads to high failure rates and high cost for subsequent improvement. As an advanced solution to this problem, the objective of SHILAS is to develop, validate and integrate virtual prototyping and testing of special purpose assembly systems, based on dynamic real-time, hardware-in-the-loop simulation with integrated real components such as controllers or actuators. This will allow for the first time to introduce tests and optimisation of critical components in their functional environment during the design of special purpose machinery.
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 'Vimentin intermediate filaments: the origin of stretchability and their direct interaction with actin filaments' will create measurable scientific, societal and economic impact aligned with Horizon Europe.

assistant: **Impact**

Many cellular processes, such as cell shape, mechanics, and intracellular transport, rely on the organization of and interactions between cytoskeletal filaments (CFs). Intermediate filaments (IFs) are the least studied CFs, with little knowledge of their interactions with other CFs, particularly actin filaments (AFs). Vimentin, one of the most abundant members of the IF family, is upregulated during epithelial-to-mesenchymal transition and in epithelial cancers, its expression is associated with poor prognosis. Their hierarchical structure gives them great stretchability, which aids cells under large deformations. However, little is known about the deformation-induced unfolding of alpha helices and the parameters that drive it. This study focuses on understanding the origin of vimentin IF (VIF) stretchability by providing direct visualization of the unfolding of alpha helices within the VIFs and transition to beta sheets upon stretching under various conditions. Interactions of VIFs with AFs play an important role in cell mechanics and successful mitosis. Yet, if these filaments interact directly is still a matter of debate. The proposed project focuses on the interaction between VIFs and AFs to determine whether they interact directly at the filament level and, if so, what are the strengths of the interactions and their binding/unbinding rates. A combination of approaches and methodologies will be used, including in vitro reconstituted filaments, optical tweezers, tip-enhanced Raman spectroscopy, computer simulation. The knowledge gained from this project will help understand crucial physiological and pathological processes. The host and supervisor are well-equipped for this project, with the supervisor's expertise in understanding IF mechanics and function as well as
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 'Greenhouse gas mitigation for organic and conventional dairy production (MIDAIR)' in the context of a Fifth Framework call.

assistant: **Objectives**

As part of the post-Kyoto process, GHG mitigation options within agriculture must be explored. MIDAIR aims to identify region and system specific, cost-effective GHG mitigation measures and strategies for organic and conventional dairy production in Europe. First MIDAIR provides a description of GHG emissions from dairy production within five regions; both modelling and targeted measurements to fill gaps of knowledge are performed to describe GHG emissions at this level of resolution. Secondly, the developed models are extended to identify cost-effective mitigation measures and strategies, assisted by data from studies of various specific management options. The GHG mitigation potential for all dairy regions in Europe is quantified by up-scaling. Agronomic, environmental and socio-economic consequences of complete and partial adoption are assessed and recommendations are given to farmers, scientists and policy makers.
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 'Bridging Academia and Industry for Sustainable Agri-Food Solutions' will create measurable scientific, societal and economic impact aligned with Horizon Europe.

assistant: **Impact**

The European agri-food sector faces pressing global challenges, including food security, climate change, and sustainability. To address these, it must adopt a knowledge-driven strategy rooted in cutting-edge research and innovations towards a sustainable food system. Promoting interoperable R&I careers that bridge academic and non-academic (NA) sectors is essential for fostering new solutions.LETSGROW is based on three pillars: training, mobility of talents and policy development to support this effort. These aim to foster collaboration between sectors, ensuring knowledge and resource exchange that mutual benefits. This mutualistic approach can nurture a fertile environment for R&I talents.Training focuses on equipping R&I talents with the evolving competencies of both sectors. LETSGROW addresses current gaps by building up talents’ skills as well as the institutional competence to support talents and their careers, offering a set of 37 training activities.Mobilities play a critical role in preparing R&I talents to work across sectors. LETSGROW offers: quality-based talent selection, a mentoring system, a return plan to maximise impact, and mobilities coupled with training. The cross-sectoral exchanges will allow NA talents to gain practical, industry-related experience, while gaining insights from academic research. Mobilities are designed so R&I talents gain critical competencies while involved entities establish and promote future collaborations.Evidence-based and needs-based policy is essential to enable positive change, and lessons learned from both training and mobility activities will feed co-creation of policy recommendations to enhance R&I talents career interoperability and employability.LETSGROW’s combined impact of targeted training, cross-sector mobilities,
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 'Bayesian Uncertainty Quantification of Intelligent vehicles'.

assistant: **Concept**

The study of intelligent vehicles (IVs) is an area developing very fast and has the potential to transform road transportation and personal mobility in the years to come. In order to evaluate and minimize risks in the dynamic environment of IVs, it is necessary to have an accurate representation of the system and the uncertainty; the system describing IVs will never be a perfect representation of the true physical process and relying on its accuracy may lead to unreliable estimations and predictions and hence lead to wrong decisions. We will take into account this discrepancy of the mathematical representation and the physical system and utilize a fully Bayesian approach to develop a novel Bayesian learning methodology enabling efficient decision-making such avoiding collisions, as well as robust fault diagnosis. By first analyzing and understanding the uncertainty of an individual IV, the aim is to move to the collective behavior of IVs. This methodology will be validated on a physical test-bed at the University of Cyprus. The proposed project is highly interdisciplinary and combines methods from Engineering (expertise of the supervisor) and Statistics (extensive experience of the ER whose research background blends with parallel developments in Computer Science such as Machine Learning). This fellowship will contribute to the boost and advancement of the ER's career and ensure a two-way transfer of knowledge by (1) enriching the ER’s research skills through a career development plan and (2) the ER will transfer to the host her expertise. The potential impact of the proposed Bayesian uncertainty quantification of IVs can be high and important for the society as a whole, as we are making a step to the right direction to make IVs part of our everyday lives. The project h