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 'Concept and Approach' section for a Horizon 2020 proposal on 'Black Liquor to Fuel by Efficient HydroThermal Application integrated to Pulp Mill'.

assistant: **Concept**

Black Liquor to Fuel (BL2F) process produces drop-in biofuels for aviation and shipping from black liquor, a side stream of chemical pulping industry. 83 % CO2 reduction compared to fossil fuels, and competitive production cost of 0.90 €/l for drop-in sustainable aviation fuel are received. A large deployment, using a variety of biomass, can yield >50 billion liters of advanced biofuels by 2050, then satisfying the EU demand for advanced biofuels for aviation (15 Mtoe) and shipping (30 Mtoe). First-of-a-kind Integrated Hydro Thermal Liquefaction (IHTL) process at pulp mills produces fuel intermediate for further upgrading in oil refineries. Biomass is converted to low oxygen content (< 10 w-%) HTL-oil in water of reductive conditions at up to 400 ˚C, 300 bar. The expected energy yield is >85 %. Integrated hydrothermal HydroDeOxygenation (IHDO) will further upgrade HTL-oil to fuel intermediate (< 5 w-% O2), classifying as bunker-like marine fuel or feedstock for high-quality aviation and marine fuels production. The process innovations of BL2F are: 1) combined salt separation and HTL-reactor, enabling direct upgrading of HTL-oil, 2) reforming of the aqueous phase to hydrogen, decreasing the need for external fossil hydrogen in IHDO, 3) integrating the process to pulp mill, offering cost reductions in treating of the gaseous and solid side streams by existing process installations. The BL2F is supported by CEPI, Avinor, and Rolls Royce and covers the whole value chain: The 6th largest producer in the world of bleached eucalyptus kraft pulp NVG, the leading biorefinery supplier Valmet, catalyst developer Ranido and Neste, the world’s largest producer of renewable diesel collaborate with excellent research partners; VTT, PSI, SINTEF, Tampere University, KIT, Brunel Universi
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 Sixth Framework proposal on 'Common Complex Collective Phenomena in Statistical Mechanics, Society , Economics, and Biology'.

assistant: **Innovation**

The dynamics of autocatalytic agents in noisy environment is a basic mechanism in many branches of natural and social sciences. In particular the emergence of localized objects with complex adaptive properties is a common feature not explained by PDE bas ed pattern formation theories. In former works we have established a new concept for the study of this field, namely, adaptation of autocatalytic fluctuations to noise. The emergence of dynamical phase transition through the combination of fluctuations and autoreactivity has been demonstrated theoretically and by numerical simulations. These results were further analyzed by mathematicians. Their theorems imply a distinction between the typical and the average behavior and emphasize the rule of rare eve nts. While the initial model was very abstract, it appears to capture the essence of the accelerated growth in noisy environments, and it attracts interest from experts in various fields. Moreover, our current results show that noise induced adaptation e xists in a wider range of models. We hereby propose a theoretical and experimental extension of our models to real phenomena. The suggested study involves an analysis of pattern formation and adaptation in noisy reactive systems. Effects of single/multi species competition, external sources and non-Brownian stochastic dynamics are to be considered and applied to the wide range of problems. Techniques, adapted from physics and mathematics, together with numerical simulations, will be used to analyze th e behavior of experimental systems. The systems that we will study are: 1) socio-economic growth in Poland after economic liberalization 2) localization of new industries emergence within social networks 3) the role of innovation diffusion in the locali zation of economic gr
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 'European Researchers' Night 2014 and 2015 in Israel' (ERNI2014) targeting Horizon 2020.

assistant: **Abstract**

Following previous eight years of successful implementation of European Researchers' Night in Israel we will have:o Venues covering the whole country.o Involvement of the academic community including Israel Ministry of Science, Technology and Space (MOST), all major research universities, leading collages and three science museums.o Awareness campaign at national level managed and funded by the Israel Ministry of Science, Technology and Space.o Groups of junior-high and high-school students (ages 12-18) will be invited by each partner to take part in each venue.We are ready and proud to implement European Researchers' Night 2014 & 2015.• All of the partners involved in the project have the experience of running successful European Researchers' Nights events.• With the successive increase in number of visitors along the years and the reputation of the event we are expecting more than 50,000 visitors each year.• Main theme for 2014 will be ""Water & Marine Sciences research"". Main theme for 2015 will be ""Brain Research"" which is very attractive subject to the special 10th anniversary event.• Same management as in 2011, 2012, 2013 successful events.• Proposal covers both 2014 & 2015 European Researchers' Night events.""


**Keywords:** Researchers, Night, European, Israel
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 'Digital Poetry in Today’s Russia: Canonisation and Translation' (GLORIOUS).

assistant: **Innovation**

GLORIOUS is an interdisciplinary study of online networks created by contemporary Russian poets that brings together poets, scholars and translators. The project will offer the first theoretical conceptualisation of such networks, introduce the most exciting new voices to an Anglophone audience through translation and narrow the distance between literary scholarship and translation practice with the help of a bespoke website.


**Keywords:** Russian poetry, Translation  Online networks, Reading communities
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Draft the 'Objectives and Scope' section of a Seventh Framework proposal for the project 'Improvements to  Integrate High Pressure Alkaline Electrolysers for Electricity/H2 production from Renewable Energies to Balance the Grid'.

assistant: **Objectives**

ELYGRID Project aims at contributing to the reduction of the total cost of hydrogen produced via electrolysis couple to Renewable Energy Sources, mainly wind turbines, and focusing on mega watt size electrolyzes (from 0,5 MW and up). The objectives are to improve the efficiency related to complete system by 20 % (10 % related to the stack, and 10 % electrical conversion) and to reduce costs by 25%. The work will be structured in 3 different parts, namely: cells improvements, power electronics, and balance of plant (BOP). Two scalable prototype electrolyzers will be tested in facilities which allows feeding with renewable energies (photovoltaic and wind)
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 'Evolutionary genomics of long, non-coding RNAs' in the context of a Seventh Framework call.

assistant: **Objectives**

Recent genomics analyses have facilitated the discovery of a novel major class of stable transcripts, now called long non-coding RNAs (lncRNAs). A growing number of analyses have implicated lncRNAs in the regulation of gene expression, dosage compensation and imprinting, and there is increasing evidence suggesting the involvement of lncRNAs in various diseases such as cancer. Despite recent advances, however, the role of the large majority of lncRNAs remains unknown and there is current debate on what fraction of lncRNAs may just represent transcriptional noise. Moreover, despite a growing number of lncRNAs catalogues for diverse model species, we lack a proper understanding of how these molecules evolve across genomes. Evolutionary analyses of protein-coding genes have proved tremendously useful in elucidating functional relationships and in understanding how the processes in which they are involved are shaped during evolution. Similar insights may be expected from a proper evolutionary characterization of lncRNAs, although the lack of proper tools and basic knowledge of underlying evolutionary mechanisms are a sizable challenge. Here, I propose to combine state-of-the-art  computational and sequencing techniques in order to elucidate what evolutionary mechanisms are shaping this enigmatic component of eukaryotic genomes.The first goal is to enable large-scale phylogenomic analyses of lncRNAs by developing, for these molecules, methodologies that are now standard in the evolutionary analysis of protein-coding genes. The second goal is to explore, at high levels of resolution, the evolutionary dynamics of lncRNAs across selected eukaryotic groups for which novel genome-wide data will be produced experimentally using recently developed sequencing techniques that enable o
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 'Single-molecule imaging of twin-arginine transporter assembly' (SMTAT) targeting Seventh Framework.

assistant: **Abstract**

The export of proteins across the cytoplasmic membrane is an essential function for all cells. In bacteria, two distinct transport mechanisms are used: The well-studied Sec pathway transports unfolded proteins via extrusion through a membrane-bound channel. In contrast, much less is known regarding the Twin Arginine Translocation (Tat) pathway responsible for the transport of folded proteins. The complexity required for this function is beyond that of a simple conformational change, and requires the orchestration of multiple copies of multiple proteins assembled into a large protein complex.We recently developed a new form of artificial lipid bilayer that in addition to exceptional stability, and simple reconstitution of membrane proteins, is capable of single-molecule fluorescence imaging and single-channel electrical recording with gigaohm seals. Droplet Interface Bilayers (DIBs) are created by contacting aqueous droplets in a lipid/oil solution. We propose to reconstitute the minimal components of the Tat system in Droplet Interface Bilayers to create a working in vitro model of this important biological pathway. Using this method we will exploit single-molecule imaging to dissect the individual steps of Tat-driven transport, and in particular quantify the changes in stoichiometry of the assembled complex that occur during transport.
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 'DEep COgnition Learning for LAnguage GEneration' to be submitted under Horizon Europe.

assistant: **Abstract**

In recent years, transformer-based deep learning models such as BERT or GPT-3 have led to impressive results in many natural language processing (NLP) tasks, exhibiting transfer and few-shot learning capabilities.However, despite faring well in benchmarks, current deep learning models for NLP often fail badly in the wild: they are bad at out-of-domain generalization, they do not exploit contextual information, they are poorly calibrated, and their memory is not traceable. These limitations stem from their monolithic architectures, which are good for perception, but unsuitable for tasks requiring higher-level cognition. In this project, I attack these fundamental problems by bringing together tools and ideas from machine learning, sparse modeling, information theory, and cognitive science, in an interdisciplinary approach. First, I will use uncertainty and quality estimates for utility-guided controlled generation, combining this control mechanism with the efficient encoding of contextual information and integration of multiple modalities. Second, I will develop sparse and structured memory models, together with attention descriptive representations towards conscious processing. Third, I will build mathematical models for sparse communication (reconciling discrete and continuous domains), supporting end-to-end differentiability and enabling a shared workspace where multiple modules and agents can communicate. I will apply the innovations above to highly challenging language generation tasks, including machine translation, open dialogue, and story generation. To reinforce interdisciplinarity and maximize technological impact, collaborations are planned with cognitive scientists and with a scale-up company in the crowd-sourcing translation industry.


**Keywords:** Deep Le
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 'Variational Basis Learning for Statistical  Motion Atlases: Application to Quantitative Dynamic Cardiac Imaging'.

assistant: **Innovation**

Pulmonary Arterial Hypertension (PAH) is a severe progressive disorder characterised by a vasculopathy of the small pulmonary arteries to the lung. Failure of the right ventricle (RV) to adapt to elevated resistance to blood flow results in death, usually within 3 years for untreated patients with PAH. Image-based global measures can only reflect the overall performance of the RV; however, there is good evidence that PAH can be identified by localised motion abnormalities in the RV and the interventricular septum (IVS), without the need for invasive and expensive right heart catheterisation.In this proposal, we are interested in assessment of the diagnostic value of the motion abnormalities in RV and IVS, relevant to PAH. Given two groups of PAH patients and healthy controls, an important distinguishing feature of our computational framework with the existing literature is that it will allow multiscale evaluations all at the same time: L1) At the population level; a statistical motion atlas describing the “average” pattern of the heart motion over the population will be constructed. Two atlases will be made for PAH patients and healthy control subjects; L2) at the patient level; for any subject a probability value of being a patient with PAH will be measured to describe the severity of the disease; L3) at the myocardium level; localised and expert interpretable abnormality map over the heart will be measured for a given patient. From two populations of patients with PAH and normal controls, we aim to learn a set of optimal basis functions that are both discriminative at the patient level, and sparsely fitted to the pathological areas.The proposed method is a novel full Bayesian probabilistic framework, which learns the sparseness and the number of the basis function fro
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 clear, measurable objectives and define the scope for the project 'Benefit-risk assessment for food: an iterative value-of-information approach' (BENERIS) under Sixth Framework.

assistant: **Objectives**

Food safety and risks are a highly sensitive area. Recent food crises have shown that risks related to food must be dealt with in a sophisticated and scientifically justifiable manner. This project will utilise a benefit-risk approach with an iterative top-down approach to explore risks of food and its contaminants. An essential part of the work is to develop and use integrated methods to evaluate both the risks and health benefits related to any given food item. Decision analytical methods will be used to find out the critical uncertainties for decision-making. Other advancements in the project will be to work on existing databases of food intake and nutrients, and food consumption studies in several European countries, while most previous work has been on national level. The data will be integrated and its applicability to other countries will be studied. This information will be combined to chemical contaminant measurements for an exposure assessment of both nutrients and contaminants. Variability between subpopulations (area, gender, age) will be especially addressed. Health effects of contaminants and nutrients will be estimated by using new methods (to be developed in this project) integrating both epidemiological and toxicological data. Results and methods will be actively disseminated using a new Internet interface and other means, and feedback will be collected during the project. Major advancements in benefit-risk analysis require highly interdisciplinary work with epidemiologists, toxicologists, nutrition scientists, exposure assessors, risk analysts, and authorities. All these disciplines are represented in this project by several partners. We also have good contacts with potential sources of data in different parts of Europe, and with ongoing or proposed EU
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 Fifth Framework proposal on 'THE NETWORK OF EXCELLENCE IN EVOLUTIONARY COMPUTING'.

assistant: **Concept**

The Evonet Network of Excellence brings together European researchers and practitioners in the field of evolutionary computing. Like evolution in nature, evolutionary techniques breed" progressively better solutions to complex problems, offering a powerful and practical alternative to traditional problem-solving techniques. Application areas include design, control, image and signal processing, modelling, pattern recognition, data mining, scheduling, and decision-making. EvoNet will provide coordination, support and a web-based infrastructure for research and training activities, helping to build a critical mass of European expertise and to stimulate greater commercial interest in the field.The Evonet Network of Excellence brings together European researchers and practitioners in the field of evolutionary computing. Like evolution in nature, evolutionary techniques "breed" progressively better solutions to complex problems, offering a powerful and practical alternative to traditional problem-solving techniques. Application areas include design, control, image and signal processing, modelling, pattern recognition, data mining, scheduling, and decision-making. EvoNet will provide coordination, support and a web-based infrastructure for research and training activities, helping to build a critical mass of European expertise and to stimulate greater commercial interest in the field.OBJECTIVESEvolutionary algorithms offer a powerful and practical alternative to traditional engineering, mathematical and statistical problem-solving techniques. They are especially useful for optimisation in frequently changing and unpredictable environments and are used in a range of complex problems where optimisation helps provide the best solutions. Application areas include design, control,