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: Write the 'Expected Impact' section for the project 'Macromolecular assemblies involved in regulated gene expression: structural/functional characteristics, interplay and novel functions' (MACROGENEX), addressing dissemination and exploitation.

assistant: **Impact**

Progress in understanding the mechanisms governing mRNA biogenesis has led to the concept of a unified theory of gene expression that operates on a vast network of interactions among multiple components of distinct macromolecular assemblies. In particular, transcriptional regulation appears to rely upon an extensive cross-talk between the basal transcription machinery with different regulators and co-regulators, as well as with components of the post-transcriptional apparatus. The objective of the Host orga nization is to carry out relevant research on the interplay of selected macromolecular assemblies functioning in regulated gene expression. These refer to the TFIID basal transcription complex interacting with members of signal regulated AP-1 transcription factor, the transcription complex TAC (TBP-TFIIA-containing complex) involved in retinoid regulation of cell proliferation and differentiation, and novel multi-protein complexes of the specific transcription factor TAFII68. The proposed study is in a very competitive area of research with an expected impact on many aspects of basic, as well as applied Biomedical research. To achieve our objectives we need the combined actions of the TOKDevelopment Host Scheme that provides for an extensive transfer of know ledge with both the incoming experience researchers and the scientific upgrading of own staff in two top pre-selected Partners Labs. The implementation of the TOK actions will increase the overall scientific capacity of the Host which, due to its current d ynamics and potential, can make best use of the objectives of the action. This will be done by the exchange of scientific information, the mastering of new technologies in proteomics and functional genomics, theoffering of high quality of training to its p erso
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 'F.A.I.R. information cube' demonstrating excellence, impact and implementation quality for a Horizon Europe call.

assistant: **Abstract**

The core objective of FAIRiCUBE is to enable players from beyond classic Earth Observation (EO) domains to provide, access, process, and share gridded data and algorithms in a FAIR and TRUSTable manner. To reach this objective, we propose creating the FAIRiCUBE HUB, a crosscutting platform and framework for data ingestion, provision, analysis, processing, and dissemination, to unleash the potential of environmental, biodiversity and climate data through dedicated European data spaces. Within this project, TRL 7 will be attained, together with the necessary governance aspects to assure continued maintenance of the FAIRiCUBE HUB beyond the project lifespan.This project’s goal is to leverage the power of Machine Learning (ML) operating on multi-thematic datacubes for a broader range of governance and research institutions from diverse fields, who at present cannot easily access and utilize these potent resources. Selected use cases will illustrate how data-driven projects can benefit from cube formats, infrastructure, and computational benefits. They will guide us in creating a user-friendly FAIRiCUBE HUB, which is tightly integrated to the common European data spaces, providing relevant stakeholders an overview of both data and processing modules readily available to be applied to these data sources. Tools enabling users not intimately familiar with the worlds of EO and ML to scope the requirements and costs of their desired analyses will be implemented, easing uptake of these resources by a broader community. The FAIR sharing of results with the community will be fostered by providing easy to use tools and workflows directly in the FAIRiCUBE HUB.


**Keywords:** biodiversity
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 Fourth Framework proposal on 'Modelling for higher energy efficiency and lower no emission from biomass fuel systems'.

assistant: **Innovation**

The conventional modelling of solid fuel devolalilisation fails in the case of biomass to depict its diversity from coal as well as between different types of biomass. To alleviate this problem, extensive, repetitive and most of all very expensive combustion trials for each single type of biomass must be performed at large and full industrial scale furnaces in order to characterise its combustion behaviour. An appealing alternative can be the use of CFD mathematical models; they are becoming increasingly popular while at the same time they receive the scepticism of the power generation and high temperature process industry. This scepticism is a result of the fact, among others, that each type of biomass fuel has a different and very complicated chemical structure thus its simulated behaviour by the relatively simple devolatilisation and combustion models currently in use by CFD codes is associated with a great degree of uncertainty. To address this problem, there are current trends to incorporate more elaborate sub-models into the codes for the thermal decomposition and combustion processes (devolatilisation, secondary cracking, soot formation etc.) for different types of coal or coal blends but they are cumbersome, and computationally uneconomical. Furthermore, biomass has been much less investigated due to the relatively recent interest in its industrial utilisation as a fuel. This project applies the newly emerging neural network technology to enable the more generalised prediction of biomass devolatilisation behaviour. The technology will be used to predict the volatile release rate from selected key biomass characterisation parameters and the local physical and thermal conditions in the near burner field. The new formulation will be tested against bench-top data an
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 'Investigations into the subcellular trafficking of the glut4 glucose transporter in insulin-sensitive tissues' (1994-1998), addressing dissemination and exploitation.

assistant: **Impact**

This project is aimed at understanding how insulin regulates the fusion of intracellular vesicles endowed with the GLUT4-glucose transporter with the plasma membrane. In particular, we aim to identify | proteins involved in the formation of the so called 'fusogenic particle'. To this end, two main approaches will be developed. First, we will carry out in vivo functional assays investigating the effect of introducing, into living cells, inhibitory antibodies against proteins thought to play a key role in membrane fusion. Second, using two recombinant proteins (NSF and a-SNAP), which appear to be essential components of the intracellular membrane fusion apparatus, an affinity purification procedure (based on the natural binding of these proteins to their targets) will be developed to isolate proteins from immunopurified GLUT4-containing vesicles which are involved in the formation of the fusogenic machinery. Training content (objective, benefit and expected impact) The applicant will be trained in a variety of methods including generation of polyclonal and monoclonal antibodies, protein over-expression in Echerichia coli and purification of recombinant proteins, cell culture and protein purification. Other techniques include l electroporation of cells and subcellular fractionation. ; It is our belief that we, as a group, are suitably poised to address the questions raised in the attached application and that information generated from the proposed studies will contribute significantly to our conceptual understanding of how glucose transport is regulated during physiological and pathological I circumstance. Links with industry / industrial relevance (22)
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 'Smart Battery Manufacturing Research and Development Assistant based on Augmented Reality Technology and powered with the ARTISTIC project Computational Models' (SMARTISTIC).

assistant: **Innovation**

The SMARTISTIC project aims at developing and demonstrating a first prototype of a smart and interactive Augmented Reality (AR) software designed to assist in the decision-making of battery scientists, engineers and operators while they are working in electrode formulation and manufacturing in laboratories or in production lines. The software will be usable from tablets and AR glasses by touch gesture and hand gesture respectively. The software will blend holograms with the real world manufacturing equipment. Such holograms will be powered with the unique physical and machine learning (ML) models developed and validated experimentally in my ERC CoG ARTISTIC project and which can predict the impact of manufacturing parameters on the final electrode properties. By interacting with the holograms and without the need of programming skills, a user can in real-time create databases from her/his ongoing experiments, launch computations for analysis of experimental results, or request ML predictions about the impact of her/his intended formulation and manufacturing process on the electrode properties. She/he can also use the software to analyze possible deviations between the experimental results and the predictions to identify more easily factors that could explain unexpected experimental results. The prototype will be developed by accounting for the users' needs and from the observation of work situations. Once developed, we will perform tests and demonstrations to assess the software usability and ergonomics for its improvement while used in real situations. They will be carried out in the battery manufacturing platform of our laboratory and in companies and in institutes which already manifested interest in our proof of concept. The assessments will permit improving the sof
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 Sixth Framework proposal for the project 'Ecosystem resistance to climate change: feeding and survival strategies in the face of global warming'.

assistant: **Objectives**

Climate change is a threat to ecosystems, both aquatic and terrestrial. Shallow lakes are aquatic systems of global importance for their economic, amenity and biodiversity values. They seem to exist in one of two alternative states, both of which are resistant to change due to multiple buffering mechanisms. Much research has gone into elucidating under what conditions and how will these mechanisms be overcome as a result of climate change. However, the results obtained have provided little information about the potential responses to climate change under intermediate nutrient regimes and most probable warming scenarios.The zooplankton is a key link in trophic cascades of shallow lakes, since they provide the food base of fish through planktivory, and the limit to phytoplankton crops, through herbivory. Shifts from a clear to a turbid state in shallow lakes typically involve an increase or decrease in their capacity to control algal biomass and therefore water transparency. This pivotal role of zooplankton could be affected by global warming, with cascading effects on algal dominance and lake ecosystem state. Specifically, global warming may influence the survival and feeding strategies of the zooplankton in shallow lakes.The present proposal aims to examine zooplankton-related processes behind the switch to turbid conditions in shallow lakes occurring in response to global warming through the study of their survival and feeding strategies. A combination of empirical and mechanistic approaches will be used, through inter-seasonal variations and time series analyses of contemporary data, novel stable isotope analyses of zooplankton populations and their egg banks and mesocosms experiments. In these, zooplankton population dynamics and feeding activities will be examined u
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 'Reduction of the chemical inputs in a vegetable crop by the use of beneficial rhizospheric microorganisms' (1994-1998), addressing dissemination and exploitation.

assistant: **Impact**

The main objectives are as follows :* To select strains of fluorescent pseudomonads for their rhizospheric competence and glomalean fungi for their symbiotic competence in Argentine and Uruguayan soils.* To further select among these strains those which are able to suppress soilborne diseases of tomato and to promote plant growth of tomato.* To characterize some modes of action responsible for the beneficial effects of the selected microorganisms and to describe their interactions with the host-plant in order to determine the conditions of their application.Expected OutcomeThe work carried out in this project should provide microbial strains enabling the reduction of the use of pesticides in tomato crops in Argentina and Uruguay. Inoculation of tomato with these strains should improve plant growth and health. The selected strains should be compatible with other cultural practices. The mode of action of the beneficial microorganisms and interactions with the host plant will be analyzed in order to identify the most favorable environment for the expression of beneficial effects. Guidelines describing the conditions of application of the microorganisms to improve efficacy, could then be given to farmers.The key activities envisaged are :* Establishment of a large collection of fluorescent pseudomonads and glomalean fungi. Isolations of bacteria and glomalean fungi will be made from Argentine soils either used for cultivation of tomato or not.* Characterization of microbial diversity in order to select fluorescent pseudomonads for their rhizosphere competence. Bacterial traits enabling the discrimination of soil and rhizospheric populations will be used to preselect rhizosphere competent strains. Such preselected strains will be subsequently tested for their rhizospheric co
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 'INNOVATIVE TOOLS TO CONTROL ORGANIC MATTER AND DISINFECTION BYPRODUCTS  IN DRINKING WATER' to be submitted under Horizon Europe.

assistant: **Abstract**

intoDBP will create innovative tools and strategies to improve water quality management for safe human use and a healthy environment. It focuses on catchment protection and forecasting, transformative drinking water treatment, and real-time monitoring to combat the effects of climate and global change. In particular, intoDBP focuses on pollution and risks related to disinfection by-products (DBPs). By developing and applying advanced, integrated, and cost-effective sensors and analytical methods, intoDBP will expand knowledge on water quality and DBP precursors to better understand its formation and human exposure in Europe. intoDBP monitoring results will feed into numerical forecasting tools to predict source water changes and formulate climate change adaptation pathways at catchment and treatment scale. intoDBP also develops transformative options for advanced and cost-effective upgrade of water treatment and disinfection.In the intoDBP consortium researchers, small and large enterprises, communication experts and public services join forces to generate interdisciplinary solutions, that will generate a renewed perspective of drinking water surveillance, support decision-making and governance, and increase system resilience. intoDBP will implement and validate its cross-cutting products in four complementary case studies from three European countries where compliance with DBP regulation currently is an acknowledged challenge. The direct and visible positive impact of intoDBP in the case studies will foster rapid product adoption at a European and global scale, thus strengthening Europe’s position and role in the global water market.Reaching out beyond the water sector itself, intoDBP will directly engage society through surveys to analyse exposure to DBPs, collect dat
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 'Precise measurement of the 7be(p,y)8b reaction cross section over a broad energy range - 100 kev to 8 mev' demonstrating excellence, impact and implementation quality for a Fourth Framework call.

assistant: **Abstract**

Research objectives and content The scope of the proposed project is to make a precise measurement of the 7Be(p,(y))8B reaction cross section, using the same detection set-up and measuring procedures over a broad energy range (100 keV - 8 MeV). For such experiments, the 4MV Tandem and the 400 kV and 100 kV electrostatic accelerators at Bochum, offer an unique opportunity. For these measurements, 7Be (T,,2 = 53 d) targets have to be produced, purified and characterised. The aim is also to develop a novel detection set-up (high efficiency). The 7Be(p,(y))8B reaction is very important with respect to the called 'solar neutrino problem'. The main source of the high-energy solar neutrinos is the beta+ decay of 8B. At present, the neutrino detectors on earth measure a flux of high-energy neutrinos considerable smaller than predicted by the Standard Solar Model. The lack, systematic measurements of the 7Be(p,(y))8B reaction over a broad energy range prohibits a reliable determination of the high-energy solar neutrino production race in the sun Training content (objective, benefit and expected impact) Objective: Production characterisation and optimisation of thin radioactive 7Be targets (T1/2 = 53.3 d). The development of detection methods for the measurement of very low reaction rates and the use of high-intensity accelerators. The use of detailed analysis procedures to determine low-energy astrophysical S-factors, using the latest theoretical models. -Benefit: development of a large number of skills related to the production of radioactive targets (handling, safety aspects characterisation, etc.), the use of low energy, high-intensity electrostatic accelerators and the measurement of very lo reaction cross sections (nb) using advanced detection techniques. -Expected impact:
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 'Understanding Photodecarboxylation dynamics of Anti-INflamatory drugs (UnPAIN)' goes beyond current state-of-the-art under Horizon Europe.

assistant: **Innovation**

Non-steroidal anti-inflammatory drugs (NSAIDs) are typically used to reduce inflammation, pain, and fever. However, under UV light, NSAIDs can undergo photochemical reactions in wasterwater, generating toxic radicals that threaten aquatic life and human health. UnPAIN arises as a solution to both understand and avoid this social problem. Previous spectroscopic studies have yielded inconsistent results regarding the mechanism, hindering rational design. UnPAIN will provide time-resolved chemical information to answer some fundamental questions such as the difference in photostability, considering both structural and environmental factors, bringing together advanced quantum chemical methods and computational simulations in the excited state for some representative NSAIDs such as ketoprofen, tiaprofenic acid, suprofen, naproxen and ibuprofen. This challenge includes dealing with multiple electronic states, internal conversion, intersystem crossing, and accurately describing anionic systems and solvents. The knowledge gained from this research could lead to safer drug designs and more stable formulations. Simultaneously, UnPAIN is designed to establish a robust protocol for studying in a general way photodissociative processes, which will be extremely useful for the scientific community. The experienced researcher will share knowledge on non-covalent interactions, and reaction mechanisms to the host group, while acquiring expertise in emerging quantum chemical methods and time-resolved chemical phenomena. UnPAIN will equip the applicant with the foundation needed to pursue an independent career, fostering a unique and highly competitive research profile. Additionally, it will offer excellent training, an enhanced scientific network, and a comprehensive set of essential soft