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: Explain how 'MRI Signal To Recover Unique Cerebral TissUe Response to changEs' goes beyond current state-of-the-art under Horizon 2020.

assistant: **Innovation**

MRI-STRUCTURE is an innovative non-invasive imaging framework that will provide access to unexplored microstructural information in brain, targeting the scarcity of microstructural models able to extract meaningful biomarkers from the diffusion MRI signal in grey matter (GM). It is based on a synergy between different approaches: simulations, modeling, acquisition and analysis of real data, implementation of rodent model of brain insults, translation to human. The final aim of the project is to increase our knowledge of brain structure in health and disease, with a special focus on the themes of neuroinflammation, demyelination and axon degeneration. These physiological processes are interplaying phenomena involved in the brain’s reaction to different stimuli, which have recently become a hot topic in brain research, due to their involvement in the pathogenesis of several neurodegenerative and psychiatric disorders. The specific objectives of MRI-STRUCTURE are: 1) to develop a new biophysical model of diffusion MRI in GM, capturing salient aspects of its microstructure; 2) to validate the model by triggering selective activation of different compartments in selected brain areas using established models of inflammation, demyelination and degeneration in rats; 3) to translate this approach to human brain in vivo in a cohort of healthy volunteers (during a secondment in CUBRIC, one of the European hubs for neuroimaging); and 4) to disseminate the framework to a wide clinical audience through a secondment in the startup Mint Labs, and explore its commercial applicability. An instrument with capacity to characterize relevant aspects of tissue microstructure in vivo and noninvasively is expected to have a tremendous impact on our knowledge of the pathophysiology of many brain
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 'Synthesis of phosphido functionalized cyclopentadienyl group4 metal complexes and their activity in alpha-oelfin polymerisation' (1994-1998), addressing dissemination and exploitation.

assistant: **Impact**

Research objectives and content  Aim of this investigation is the synthesis of phosphido functionalized cyclopentadienyl group 4 metal complexes which are active in polymerisation of alpha-olefins.  The replacement of one cyclopentadienyl moiety in ansa-metallocenes by pendent anionic phosphido functionality results in complexes which are, equal to their amido congeners, thought to be isolobal to ansa-metallocenes. The innovative aspects of using a phosphido functionality are combining the electronic properties of the cyclopentadienyls with the steric properties of the amido functionalized cyclopentadienyl ligand. The dichloro and bis carbyl complexes of the group 4 metals synthesized, will be examined on their activity in olefin polymerisation catalysis with respect to the desired ligand parameters. Figure 1. Phosphido functionalized cyclopentadienyl group 4 metal complexes. Training content (objective, benefit and expected impact)  A postdoc position will enable me to develop my skills in organometalli chemistry and polymer chemistry. The challenges of this field of chemistry, in academic sence, in combination with its great industrial potential would give me a good opportunity to broaden my scope. The results of this project will enhance our knowledge about the relation between activity and stereoselectivity of the catalysts and the polymers produced. Links with industry / industrial relevance (22) The group of Prof Okuda is closely linked with the Polymer Research Laboratory of the BASF AG.
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 'Exploiting semAntic and social knowledGe for visuaL rEcognition' demonstrating excellence, impact and implementation quality for a Seventh Framework call.

assistant: **Abstract**

People are now more connected than ever before thanks to the technological advances of personal computers, smart personal devices, as well as global Internet connections. Web-based services like Flickr and YouTube and social networks such as Facebook have become more and more popular, allowing people to easily upload, share and annotate personal media content. This connectivity constitutes a new key source of information.In this project, the candidate will focus on the problem of exploiting semantic and social knowledge for visual recognition. In fact, although visual data are the largest component of the digital world, they have been so far excluded from most social media research.Some recent works have begun to take social network analysis into account when looking at visual data, but their scope has been too limited. Researchers have presented algorithms for enriching user annotations through tag recommendation strategies (often focusing only on tags and their relations), and methods for estimating tag relevance in order to rank and filter the list of tags. Nevertheless, most of these studies were conducted in simplified settings and do not address the full information given by visual media and their social and semantic relations.This project goes beyond these studies by introducing a new framework which jointly models objective knowledge, given by the visual appearance, prior knowledge, given by visual and linguistic ontologies, and noisy collective knowledge, given by social tags and social relations. This is a challenging issue since, at the scale of web, we are looking at connections of thousands of elements. Experiments will be conducted on a large-scale image benchmark.The contribution to EU scientific and technological knowledge and researcher training will be
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 'Designing Optimal Protocols for Resource Allocation Games' demonstrating excellence, impact and implementation quality for a Seventh Framework call.

assistant: **Abstract**

Resource allocation games play a fundamental role for many applications, including traffic networks, cloud computing, telecommunication networks and  operations management. In a resource allocation game, the allocation of resources is determined by afinite number of independent players, each optimizing an individual objective function. Because selfish behavior of players usually leads to inefficient resource allocation with respect to predefined performance measures, the design of protocols as a way toimprove the inefficiency of selfish resource allocation is of fundamental importance.While numerous resource allocation games and corresponding resource allocation protocols have been analyzed in the last decade with respect to various performance indicators, there has been only recently some efforts to design optimal protocols for these indicators (Chen et al.(2008), Harks and von Falkenhausen (2011)).This project intends to make progress in the design of optimal protocols.
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 'Tracking and predicting neurodegeneration spreading across the brain connectome'.

assistant: **Concept**

Current knowledge of neurodegenerative diseases is limited by poor understanding of how they progress through the central nervous system (CNS). It has recently been hypothesized that clinical progression in these conditions involves the systematic spreading of protein misfolding along neuronal pathways. Protein aggregates would trigger misfolding of adjacent homologue proteins in newly-affected regions, and this would propagate in a “prion-like” fashion across anatomical connections. This proposal seeks to decipher the mechanisms of network-based neurodegeneration by understanding how the complex architecture of brain networks (the connectome) shapes the evolving pathology of neurodegenerative diseases, and to develop tools for monitoring disease progression from presymptomatic to later stages of the disease. NeuroTRACK will apply emerging network science tools to longitudinal, structural and functional brain connectivity 3T magnetic resonance imaging data from patients with frontotemporal lobar degeneration (FTLD) – a devastating, relentlessly progressive, young onset, neurodegenerative disorder. The study will involve both sporadic and familial cases, including presymptomatic gene mutation carriers. The proposal addresses the following fundamental questions: i) How and where does pathological protein propagation occur in the FTLD phenotypes? ii) Can pathological spreading be predicted from brain connectome fingerprinting? iii) How do different protein abnormalities translate into large-scale network degeneration? iv) How early are brain network changes detectable in the (even presymptomatic) course of the disease? The ground-breaking nature of the experiments planned in this proposal will pave the way to the development of novel tools for understanding the biological
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 Seventh Framework proposal on 'HIgh Speed PRoteomics Analysis (Prot-HiSPRA): Solving the bottlenecks of proteomics technologies for time sensitive proteome driven medical decisions'.

assistant: **Innovation**

The main objective of the proposed collaborative project Prot-HiSPRA is to remove time-consuming bottlenecks of existing proteomics technologies (sample preparation, fractionation, proteolysis, separation, data collection, and data mining) and bring the proteome driven analysis into time sensitive clinical practice. Prot-HiSPRA is an objective-driven research project and it aims at generating new knowledge and new technologies which will improve the European competitiveness in the field of applied proteomics. Prot-HiSPRA is planned for the duration of 36 months which is necessary in order to ensure a high-quality validation of the developed high-throughput methodologies. A strong participation of SMEs (partner 2 – MAYLAB, partner 3 – CELS - left the onsortium, partner 6 – RTDs, partner 7 - BIA) will ensure strong innovation and exploitation during HiSPRA. Research activities in the Prot-HiSPRA program can be divided into a technological core project that is tailored to significantly improve on technologies in the fields of proteomics, bioinformatics, and integrated biology. Analytical methods developed with the Prot-HiSPRA project will be exemplified by applying for analysis of clinical samples originating from in vitro fertilization (IVF) procedures. During the IVF process, especially at the moment when decisions are made which embryo can be implanted, decisions must be made so that the process has the greatest chance for success. To further elevate pregnancy rates for IVF a non-invasive, rapid, and robust methods for judging the embryos status is urgently needed to examine the embryos´ proteome. These methods could not only be applied in the described field of reproductive medicine but also in any the other fields of clinical analysis where fast and reliable diagnosis
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 'Synthesis of new allotropes of carbon: Cyclocarbon catenanes' under Horizon 2020.

assistant: **Concept**

The last 35 years have seen many advances in the field of new carbon allotropes, from fullerene chemistry to carbon nanotubes and graphene. Inspired by the huge impact of these new forms of carbon, we aim to create new carbon allotropes through the synthesis of cyclic molecules, cyclocarbons composed of only sp-hybridized carbon atoms, which are stabilized by the encapsulation of several macrocycles to form catenanes. The proposed project combines recent advances in polyyne chemistry (the field of the applicant's PhD) with supramolecular chemistry to create and study novel compounds: cyclocarbon catenanes. This project will include extensive synthetic work to find the most efficient working scheme for the formation of a stable cyclo[40]carbon catenane with suitable macrocycles. Dicobalt complexes will be incorporated into the polyyne precursors to form masked alkyne equivalents (MAEs). Active metal template (AMT) cross-coupling and/or homo-coupling reactions will be applied with MAEs to synthesize polyyne rotaxanes with suitable macrocycles on the polyyne thread. Cyclo-oligomerization using another AMT coupling, under high dilutions, is expected to yield a cyclo-tetramer, which can be unmasked to afford the target C40 catenane. The electronic nature of the target compounds will be studied using a range of techniques, including nuclear magnetic resonance spectroscopy, UV-vis absorption and fluorescence spectroscopy, electrochemistry, as well as time-resolved IR and Raman studies, additionally characterized with X-ray crystallography in the solid-state. These efforts will focus on exploring structure, reactivity, and physical properties of cyclocarbon molecules, to determine experimentally whether they are acetylenic or cumulenic in their ground states and excited states.
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 'Predicting Routes Of Tumour Evolution driven by Unstable genomes and Selection' under Horizon 2020.

assistant: **Concept**

Despite progress in cancer drug development, the majority of patients who present with advanced, metastatic, solid tumours have incurable disease due to underlying cancer genomic diversity that provides a substrate for evolution and selection of drug resistance. The aim of this proposal is to describe, synthesise and model the micro- and macroevolutionary patterns of genomic instability underpinning the evolutionary dynamics of tumour life histories, to improve patient stratification, treatment and survival outcomes. Longitudinal clinical studies such as TRACERx are highlighting the complex processes that generate this intra-tumour heterogeneity (ITH). Genome Instability (GIN) describes aberrant changes within the genome, encompassing genome doubling (GD), numerical or structural chromosomal instability (CIN), and elevated DNA sequence mutational diversity. TRACERx has revealed that elevated DNA copy-number ITH rather than DNA sequence diversity is associated with increased risk of recurrence or death in non-small cell lung cancer (NSCLC). Why macroevolutionary CIN rather than somatic mutational diversity is associated with poor outcome remains unclear. Current animal models of NSCLC do not sufficiently model the multiple distinct patterns of GIN operating in patients. We aim to develop mouse lung cancer models that recapitulate the patterns of GIN observed in NSCLC patients. Using tumour barcode sequencing, a sensitive method of quantifying cellular fitness and individual tumour growth, we will investigate the effects of targeted-, chemo- and immuno-therapy on the newly generated GIN models. We will decipher if distinct patterns of GIN increase metastatic potential and treatment failure, and test if high mutational burden or high CIN increases the frequency of GD in ca
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 'Enabling Multichannel PArticipation Through ICT Adaptations' (EMPATIA), addressing dissemination and exploitation.

assistant: **Impact**

Participatory budgeting (PB) represents one of the most successful civic innovations of the last quarter-century. At a time when voter turnout in Europe is lagging and public institutions struggle to maintain trust and legitimacy within a framework of growing budgetary cuts, PB has proved itself to be a powerful tool for citizens to join in the essential tasks of governing, not only as voters but also as decision-makers themselves.EMPATIA aims at producing the first ICT platform capable of fully encompassing both the decision-making cycle and the implementation cycle of PB whose integration is considered indispensable by literature as the main driver of the self-sustainability process. It will harness the collaborative power of ICT networks applied to PB, seeking to radically enhance the inclusiveness and impact of PB processes, enabling citizens, individually and collectively, to take deliberate and informed action for the public good. This will lower barriers to information and participation, deepening citizen engagement and trust in public institutions, collaborating alongside them to make their communities more sustainable.EMPATIA consists of multidisciplinary consortium, with expertise in adjacent fields – research and implementation of participatory and voting processes, ICT integration, evaluation of technological and societal impacts among others – that will include in its activities the implementation of three distinct PB Pilots, with citizens from the municipalities of Lisbon (Portugal), Ričany (Czech Republic) and Bonn (Germany), allowing a thorough analysis and validation of the EMPATIA platform.
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 'Improving wet plastic recycling through innovative lagrangian particle-fluid simulations' (IMPRECSIM), addressing dissemination and exploitation.

assistant: **Impact**

Wet particle separation is used widely in mineral processing as well as plastic recycling to separate mixtures of particulate materials into further usable fractions due to density differences. Despite its wide usage wet particle separation processes are often attributed to operational problems especially if density differences of the feed material are low. A review of the state of the art clearly indicates that numerical modelling has not yet been applied to wet separation processes due to the lack of applicable numerical schemes. On this background numerical modelling can strongly contribute towards improving the design and process parameters of wet particle separation technologies especially in the field of plastic recycling - improvements have a strong environmental impact such as reduced landfill and lower overall pollution.The proposed research consists of two parts. The first objective is the development of a novel, fully Lagrangian particle-fluid modelling framework applicable to systems of particles of complex shape in a wet environment. For modelling the particles, the Discrete Element Method (DEM) will be employed. For the fluid part, the Lagrangian Smooth Particle Hydrodynamics (SPH) will be used which enables handling free surfaces and large movements of the fluid, inherently. While unresolved fluid flow around particles is already used in mesh based methods, coupling the DEM and SPH in one computational framework is a challenging task addressed in this project. Thereby, a framework is developed for representing technical scale systems of complex shaped particles in a wet environment for the first time. In the second part of the project, the developed framework will be applied to the modelling of a wet separation process involving a sink-float drum separato