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 a compelling abstract for 'Glutamate receptor proteins as novel neuroprotective targets' demonstrating excellence, impact and implementation quality for a Sixth Framework call.

assistant: **Abstract**

Excitotoxicity contributes significantly to neuronal cell death in a number of neurological conditions including stroke, head trauma, and Huntington's disease. The recent discovery of the proteins that anchor and interact with glutamate receptors opens for a new strategical approach to cytoprotective therapy. The present project aims at exploiting this conceptual advance to provide a platform for cytoprotective therapies that do not interfere unduly with synaptic transmission.Glutamate receptor interacting proteins (interactors) serve dual purpose. They determine the level and site of glutamate receptor expression within the cells and connect the receptors to specific intracellular signalling pathways. Both roles are interesting from a therapeutical perspective. Thus, excitotoxicity might be alleviated by modulation of the surface expression of glutamate receptors, as well as by interfering with their downstream signalling.The first part of the project aims at providing a more complete picture of the functional roles of interactors (WP1-3). It is envisaged that we will be able to identify novel interactors and that we will be in a position to understand, at a molecular level, how the different interactors connect with glutamate receptors and with each other. This part of the project will also elucidate the principles that govern the turnover and surface expression of glutamate receptors and the mechanisms that couple the individual receptors to specific downstream effectors of excitotoxicity.The second part (WP4 and 5) aims at exploiting the increased insight obtained through the first part of the project to design ways to alleviate excitotoxicity in different model systems. In designing these experiments the complex of glutamate receptor interacting proteins will be vi
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 'Developing early-warning systems for improved microalgae PROduction and anaerobic DIGestIOn' in the context of a Horizon 2020 call.

assistant: **Objectives**

Process monitoring is a crucial task for bioprocess optimization and will play a decisive role in the digitization of future bio-based production systems. System failure prediction technologies must be an integral part of monitoring schemes; however, these technologies are underdeveloped as far as the bioenergy industry is concerned. The objective of PRODIGIO is to establish a base of knowledge for the development of system failure prediction technologies that increase the performance of microalgae production and anaerobic digestion systems and advance towards more favourable techno-economic, environmental and social performance to achieve more sustainable microalgae biogas. By combining perturbation experiments in bioreactor systems and cutting-edge methods for big data analysis, PRODIGIO will decode the triggers, identify early-warnings, define threshold values, and calculate warning times for critical state transitions in bioreactors. Taking into account processes inefficiencies, we estimate that, along with the implementation of prevention countermeasures, PRODIGIO technology could contribute to increasing resource and energy efficiencies >50% throughout the production chain, which would translate into OPEX savings and GHG emissions reduction. The technological solutions that will derive from the project, such as a catalog of early warning signals for the failure of microalgae production and conversion-to-biogas systems, will be pre-commercial in nature; however, a roadmap will be compiled and updated during the course of the project that will identify priority research lines for further development and future implementation of technology. The results of PRODIGIO will pave the way for moving the entire microalgae biogas production chain efficiently towards its theor
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 'Unveiling lung resilience mechanisms: a ground-breaking way to cope with air pollution', explaining its relevance to EU policy priorities under Horizon Europe.

assistant: **Impact**

Air pollution, exacerbated by heatwaves and wildfires, affects primarily the lungs, leading to potentially life-threatening effects eluding conventional treatments. In response, KINTSUGI adopts a new perspective by exploring lung resilience mechanisms, to understand how respiratory health is maintained in most individuals: drawing on evidence from both a broad evolutionary standpoint, where humans have evolved in environments exposed to particles and proofs of lung resilience observed particularly in smokers, it seeks to redefine the paradigm of investigating lung response to particulate pollution.For that, KINTSUGI focuses on the airway submucosal gland (SMG), an ectodermal appendage lining the airways, renowned for its unique properties in mucus secretion, antimicrobial activity and a potential niche for proximal airway stem cells. The hypothesis posits the airway SMG as a crucial signalling hub, orchestrating responses to external perturbations to ensure proximal lung resilience. Using dissected clinical samples of SMG, it aims to unravel cell interactions intricacies within this niche, ultimately generating a ""SMG-related resilience signature"". Additionally, 3D in vitro models replicating the in vivo architecture and function of airway SMGs will be established for the study of mucociliary clearance, antimicrobial activity, and regeneration studies under both homeostatic conditions and particles exposure. KINTSUGI further integrates probabilistic mathematical modelling, considering microscopic interaction rules within the SMG, to elucidate macroscopic behaviours underlying lung resilience at different time scales.KINTSUGI anticipates impacting broader scientific communities, as such health, biology, and evolution, by uncovering fundamental insights into the mechani
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 'Development of novel functional proteins and bioactive ingredients from rapeseed, olive, tomato and citrus fruit side streams for applications in food, cosmetics, pet food and adhesives' (Pro-Enrich).

assistant: **Innovation**

Pro-Enrich will develop a flexible biorefinery approach capable of processing a range of agricultural residues (rapeseed meal, olives, tomatoes and citrus fruits) in response to the increasing global demand for alternative sources of protein and phenolic product streams, tailored to the cross sectoral requirements of industry. Pro-Enrich will optimise existing biomass fractionation technologies and validate novel extraction approaches beyond the current state of the art (from TRL2 through to TRL 4/5) to isolate and purify proteins, polyphenols, dietary fibres and pigments. The products being targeted are food ingredients, pet food, cosmetics and adhesives. These will be developed through an iterative process of feedstock mapping, laboratory process development, functionality/performance testing of samples by industry and pilot upscaling. Pro-Enrich gathers the expertise of 16 partners from 7 countries, covering the entire biorefinery value chain and consisting of 8 SMEs, 5 large enterprises, 2 RTOs and 1 university.The project facilitates supply chain building across different sectors, including biomass production and logistics; materials handling and processing, through to end-users. The project will engage and collaborate with key industry stakeholders from farming and biomass supply, processors and brand name owners.Pro-Enrich produces detailed life-cycle, socio-economic and safety assessments to facilitate policy and decision-making by industry and the EU, inform and guide consumer acceptance and assist with regulatory compliance. The outcome of Pro-Enrich will have a huge economical impact on the involved partners especially the industries and generate a large number of new job positions. However, the impact goes beyond the consortium by contributing to the BBI’s s
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 'Volcanic gas and aerosol emissions: ground based remote sensing, atmospheric impact and modeling of magma degassing processes' demonstrating excellence, impact and implementation quality for a Sixth Framework call.

assistant: **Abstract**

Volcanic gases and aerosols have significant impacts on the atmosphere, human health and climate. In addition they give access to deep magmatic and hydrothermal processes. Ground based optical remote sensing methods give the opportunity to measure both variations of gas compositions and fluxes.This requires the determination of the gas plume velocity, which is often approximated by wind speed and direction, inducing large errors on its estimation. Direct plume velocity measurements give more accurate values. A simpler and new approach has been recently proposed, which involves combining multiple ultraviolet spectrometers (DOAS: Differential Optical Absorption Spectroscopy) tracking the presence of inhomogeneities in the volcanic gas cloud.This technique and the subsequent rigorous statistical data treatment, using, in particular, Full Correlation Analysis (FCA), will lead to a quantitative error budget on the plume velocity and subsequent flux. In the near future, this improvement will lead to better estimations of the atmospheric impact. Moreover it will allow real-time data acquisition and processing, essential for routine volcano monitoring and hazard assessment.Volcanoes of Costa Rica present an important continuous degassing activity and are perfect candidates for such field applications. The development of conceptual and physico-chemical models to interpret temporal variations and possibly cyclic patterns in volcano degassing will permit a better characterization of the volcano-magmatic system.
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 Sixth Framework proposal on 'Knowledge Politics and New Converging Technologies; A Social Science Perspective.'.

assistant: **Concept**

The KNOWLEDGE NBIC project is a study into the knowledge and anticipated social consequences emerging from the NBIC fields, using a social scientific perspective. We propose to look into the patterns of NBIC knowledge production as well as the actual and potential use of and social resistance to such knowledge. In terms of knowledge production, our attention will focus on charting the institutional settings in which the NBIC fields are pursued and promoted.Relevant questions include: Who are the key actors involved? How do they figure in the overall ecology of both academic knowledge and socially relevant technologies? What funding mechanisms are used to promote convergence or synergy among different technological fields? Given the different origins of these fields, when and why did they start to 'converge' and to what extent? With respect to the use of and resistance to this knowledge, we will be concerned in particular with the growing moral, political and economic pressure to regulate, to police or even forbid novel knowledge as well as technical devices emerging from NBIC technologies.Such pressures have already become apparent in Europe and elsewhere with regard to biotechnology as well as stem cell research and similar concerns are beginning to be voiced with reference to nanotechnology. The new convergence technologies can be expected to raise similar if not more accentuated concerns in that they promise an integration of biological reproductive processes, mental mechanisms of learning and information management at the nanoscale. Our proposed activities are exploratory at this stage as very little is as of yet known about the 'converging' component of 'converging technologies', especially from the social scientific perspective. For this reason, our project will c
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 'Non-linearity to improve and analyze functional maps for geometric data.' in the context of a Horizon 2020 call.

assistant: **Objectives**

The functional maps (FM) is an effective and established method for shape matching in several applications such as computer graphics, medical imaging, computer-aided design and biomedical data analysis among many others.In the last few years, a large quantity of research has been devoted to this topic, giving rise to new analysis and implementation of innovative methods.The interest in FM arises from its efficiency, its effectiveness and the several applications in which FM can be involved.Given two 3D shapes, FM focus on the correspondence between the functional spaces defined on two surfaces rather than between the points of their 3D embeddings.A small matrix can compactly encode the FM representing the functional spaces on a fixed basis.A common choice is to approximate the functional spaces as a linear vector space through a truncated subset of their Fourier basis.In most cases, only the vector space structure of functional spaces is exploited, but not their algebra, i.e., the ability to take pointwise products of functions.With NON-LINFMAPS, we aim to reinforce the FM injecting the non-linearity in the framework through new representations of the functional spaces and innovative techniques for the conversion of the FM in a point-to-point matching.The main motivations of this proposal are twofold. First, there is solid evidence that non-linearity encodes essential map properties. Second, the non-linearity of maps between embedded surfaces makes non-linearity more suitable to extract high-quality correspondences from FM. Through the MSCA, we plan to create an entirely novel computational framework for FM that directly exploits the algebra structure of functional spaces integrating non-linearity. Based on these new insights, we will design efficient algorithms and ent
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 'Dynamic analysis of physiological Networks' (DAPHNET).

assistant: **Concept**

Note - This full proposal was previously submitted in the short proposal with the name 'PhysioNet'.Physiological signals as output of the human complex system are typically nonlinear and non-stationary, and much information is hidden in the dynamics of their fluctuations. By applying conventional analysis techniques based on averaged quantities and other features of histogram and classical power spectrum analysis, some important characteristic properties of the signal dynamics are neglected.Our investigations strongly indicate that in particular the scaling behaviour of the fluctuations plays an important role for distinguishing between healthy and pathological cases. By adapting and extending recent methods developed in modern statistical physics and nonlinear mathematics, it has been shown that the fluctuations of heartbeat and other neurally-controlled signals exhibit unanticipated hidden information (order) in the form of self-similarity, scaling structure, multifractality and long-term memory.In the present proposal we suggest to extend our previous research on the properties of each particular signal. The physiological functions to be studied are the cardio vascular capacities, brain activity (EEG), motor control, gait, posture, sleep and sympathetic and parasympathetic effects. Algorithms to assess the long-term effects and Inter- relations between signals representing these functions are at the core of this proposal. The simultaneous collection of several long-term signals will enable the construction of physiological networks using dynamical synchronization and cross-correlations patterns, whose momentary state together with the properties of each signal can give a picture of the health status of an individual.
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 'Resolving Precariousness: Advancing the Theory and Measurement of Precariousness across the paid/unpaid work continuum'.

assistant: **Concept**

The traditional dichotomy of paid (productive or waged) versus unpaid (reproductive or unwaged) work marginalizes unpaid work when conceptualizing precariousness, i.e. the exposure to unpredictability towards an individual’s future. It also neglects several types of unpaid work such as care work, work as a precondition for welfare payments, and newly emerging on- and offline work in the gig economy for which people in paid work are not compensated or where it is used to access paid work. A novel scientific perspective is needed, which breaks the paid/unpaid distinction, and rethinks precariousness on the paid/unpaid work continuum by uncovering the unpaid activities that increasingly underlie paid employment as a source of ‘value’ creation in the labour market. ResPecTMe will generate a new theoretical model of, and a measurement approach and monitoring tools for, precariousness at the paid and unpaid work continuum. Using my unique experience of studying workers’ subjectivity within their societal contexts, I will achieve this by i) using a sequential mix of qualitative and quantitative methodologies to study precariousness at the paid/unpaid work continuum, and its social effects, in three core areas of work (i.e. care, crowd/gig- and creative), across and within eight European countries; ii) developing a comprehensive theory of precariousness at this continuum; iii) generating a valid, standardized and multi-indicator measurement (i.e. survey module) of precariousness at this continuum; iv) implementing monitoring tools for precariousness at the European level (i.e. rotating module for ESS and EPM). The theoretical knowledge, the measurement and the monitoring tools will address ongoing scientific and social challenges on how to study precariousness by innovating cur
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 'Optimum diesel fuel for clean diesel engines (CLEAN)' (CLEAN) targeting Fifth Framework.

assistant: **Abstract**

Objectives and problems to be solved: Fossil fuel powered IC engines will still constitutes the major land transport power trains at least over the next decades. Therefore, their impact on the global and local pollution and on the use of natural resources has to be minimized. The Diesel engine is the number one priority for its particularly low Well To Wheel (WTW) CO2 emissions. Nevertheless, it suffers from associated NOx and particulate emissions, which have to be significantly reduced in the near future. The objectives of the CLEAN project are therefore to develop solutions for new generations of co-optimised fuels and Diesel engines designed to reach lowest levels of pollutants in a system approach identifying new ways for clean future fuels where the impact of the use of these fuels will be studied in detail for assessing the still unexplored benefits of co-optimising fuels and engines as a single system. Description of the Work: Firstly, cost efficient clean fuel formulations will be addressed based on a comprehensive analysis of literature data on fuel engine interactions. These results will be compiled into a comprehensive document and a database. From this database promising fuel formulations - meeting future ecological and economical demands - will be derived for detailed investigations in advanced high-pressure direct injection Diesel engines. The engine design will be adapted to the specific properties of the fuels by optimising the injection system, the compression ratio and the swirl ratio for lowest possible emissions and best fuel efficiency. The main work will address the individual development and optimisation of the engine for each selected fuel. At first, optical diagnostics will be used to improve the insight into necessary engine modifications. Bas