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 the specific objectives and expected outcomes for 'In-situ imaging and recognition of harmful Algal bloom species by artificial neural network' in the context of a Fifth Framework call.

assistant: **Objectives**

HAB-BUOY is a highly innovative in-situ moored instrument for the detection of harmful algal blooms (HAB) in coastal waters. Toxic and nuisance species of algae have a serious economic impact on the shell fisheries of the European Economic Zone (EEZ) causing incidences of poisoning in people eating contaminated shellfish. No such instrument exists commercially at present and its manufacture requires the integration of several new and innovative techniques. There is a need for this type of instrument to be built and deployed in coastal aquaculture regions to more effectively monitor the presence of HAB species.Description of the workThe proposed research will develop HAB-BUOY so that it can image and recognise harmful algae. HAB-BUOY is in essence a microscope coupled to natural object recognition software, which will be operated either underwater suspended from a buoy, or on a mussel-producing raft, or in the laboratory to assist government scientists to monitor HAB algae.
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 'Concerted Action European AIDS-Virus Serosurveillance Programme' under Fourth Framework.

assistant: **Concept**

1. to provide a surveillance system for newly emerging strains of human immunodeficiency virus (HIV) in Europe2. to provide a surveillance system for emerging strains of HIV with naturally occurring mutations conferring anti-viral drug resistance in Europe3. to provide reagents for vaccine and anti-retroviral drug design and evaluation.EASP is an ongoing Concerted Action. In the past four years, laboratories from 6 European countries collaborated in the development, evaluation and validation of new methodologies for characterizing HIV strains, using a matched set of sera/plasma and PBMC from HIV infected individuals from 9 European countries. Based on this work, an algorithm for the characterisation of HIV has been developed. This algorithm starts with the screening for HIV subtypes by testing sera/plasma for antibodies reactive to HIV-1 subtype specific V3 peptides, followed by genomic RNA analysis of the gp120 coding region amplified from serum by using Heteroduplex Mobility Analysis (HMA) and the RNase A Mismatch Method (RAMM) in those cases where serological typing gives indeterminate results. As confirmation strategy sequencing of (parts of) gp120 is chosen. In addition the RT gene is amplified from genomic RNA in serum and a differential PCR method, as well as RAMM is used to identify mutations in the RT gene conferring anti-retroviral drug resistance. Matching viruses are obtained and used for homologous and heterologous neutralisation.Laboratories from France, the UK, Germany, Belgium, Spain and The Netherlands will collaborate within the framework of EASP in order to characterise HIV circulating in Europe, using serum/plasma and matching PBMC samples which are collected from individuals seroconverted within an annual time period. These samples and reagents (env
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 'Transfer of Knowledge Exciting Novelties for the Group for Research in Automatic Control Engineering on Hybrid Systems and Embedded Control Software Design.' will create measurable scientific, societal and economic impact aligned with Sixth Framework.

assistant: **Impact**

Motivated by recent technological innovations, in the last five years both in Europe and in the US large multi-center research programs have been built for the study of hybrid systems modeling, analysis and control theory, and embedded control software design. Hybrid systems are heterogeneous systems which are abundant in all areas of engineering and scientific endeavor. Hybrid systems can switch between different operating modes where each mode is governed by its own characteristic dynamical laws. Recently, hybrid control synthesis has been recognized as a possible approach to facilitate the process of embedded control software design. Embedded control software design is a complex task which involves concurrency handling under real-time constraints for platforms which may have distributed sensors, actuators and CPUs. The hosting research group has a strong research background in standard control theory and has developed specific competence in several areas of automotive control engineering. Objective of the transfer of knowledge (TOK) will be the acquisition of competences on Hybrid Systems and Embedded Control Software Design. The project will advance our knowledge in all system-theoretic aspects of hybrid systems in order to provide our researchers new conceptual, mathematical and tool-supported methods for control design for such systems. The step from control design to its software implementation is not immediate and easy, especially for complex real-time systems. Therefore, the TOK will also focus on methods for implementing the aforementioned controllers on embedded control platforms with possibly distributed sensors, actuators, CPUs, and networks. The proposed Marie Curie TOK program will represent an invaluable opportunity for the new hosting institution to rai
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 'Partnerships for science education' goes beyond current state-of-the-art under Horizon 2020.

assistant: **Innovation**

PAFSE will contribute to community preparedness to reduce the risk of communicable disease and epidemics. It will do so by establishing partnerships between schools, universities, non-formal education providers, enterprises and civil society organisations and engaging them in efforts to enrich Science, Technology, Engineering, Mathematics (STEM) education to include public health issues, an understanding of microbes and zoonosis, and the value of disease prevention measures in protecting communities. Novel educational provisions engage students aged 12-15 in public discourse events, and a blend of formal and informal learning activities using digital tools and online teaching-learning environments to develop their competence on project management and collection/analysis/making sense of scientific evidence and translate the information to support action. The project is innovative in that it makes use of project-based learning and digital learning packages to engage a wide range of actors in addressing public health challenges through an open schooling framework. PAFSE will involve more than 3000 students and their families in the project activities, being the outcomes disseminated to more than 1000 schools. It will also increase the global population awareness and preparation to deal with future epidemics and indirectly to support the achievement of the sustainable development goals (SDGs). The PAFSE model for open schooling will be applicable in addressing other public health challenges, such as child obesity, or even the involvement of schools in climate change initiatives.


**Keywords:** student competences (project management; making sense of scientific evidence), school-community interactions, public health, primary, secondary and tertiary prevention, epidemics
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 'Generic Early Warning Signals for Critical Transitions' to be submitted under Seventh Framework.

assistant: **Abstract**

Abrupt shifts occasionally reshape complex systems in nature ranging in scale from lakes and reefs to regional climate systems. Such shifts sometimes represent critical transitions in the sense that they happen at tipping points where runaway change propels the system towards an alterative contrasting state. Although the mechanism of critical transitions can often be reconstructed in the hindsight, we are virtually unable to predict when they will happen in advance. Simulation models for complex environmental systems are simply not good enough to predict tipping points, and there is little hope that this will change over the coming decades. The proposed project is aimed at developing an alternative way to predict critical transitions. We aim at finding early warning signals for such transitions that are generic in the sense that they work irrespective of the (often poorly known) mechanisms responsible for the tipping points. Mathematical theory indicates that this might be possible. However, although excitement about these ideas is emerging, we are far from having a cohesive theory, let alone practical approaches for predicting critical transitions in large complex systems like lakes, coral reefs or the climate. I will work towards this goal with my team along three lines: 1) Develop a comprehensive theory of early warning signals using analytical mathematical techniques as well as models ranging in character from simple and transparent to elaborate and realistic; 2) Test the theory on experimental plankton systems kept in controlled microcosms; and 3) Analyze data from real systems that go through catastrophic transitions. The anticipated results would imply a major breakthrough in a field of research that is exiting as well as highly relevant to society. If  we are su
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 'Developing high-energy tellurium/selenium redox-amphoteric conversion cathode chemistry for aqueous aluminum batteries', explaining its relevance to EU policy priorities under Horizon Europe.

assistant: **Impact**

Rechargeable aqueous aluminum battery (AAB) system is potential candidate for sustainable energy storage systems at a grid-scale, owing to their high safety, sustainability and low cost. However, the existing cathode chemistry (intercalation/deintercalation mechanism) exhibits poor kinetics caused by extremely high charge density of Al3+ ion due to the small ionic radius of Al3+ ion (0.39 Å versus 0.59 Å of Li+) and trivalent nature, leading to a restricted energy density and fast capacity fade. Those drawbacks hinder their extensive applications. In this project, we will aim to develop high-performance and innovative aqueous Al-Te and Al-Se batteries by creative redox-amphoteric conversion electrochemistry which means Te or Se will undergo positive and negative valance state during charging and discharging. To realize this goal, we will firstly screen the aqueous based electrolyte and create the appropriate electrolyte which can realize the redox-amphoteric conversion electrochemistry of Te and Se. And further we will explore the underlying specific mechanism of the whole electrochemistry by combining in-situ characterization technologies and molecular dynamics simulation. Moreover, the performance will be optimized by adjusting host materials, separator and anode. Finally, the device on pouch cell level will be demonstrated to clear as practical application. This project will enable the researcher to broaden her knowledge and have more comprehensive knowledge frame which is vital for her future career. Upon successful implementation of this project, due to the dual-ion charge storage mechanism and multi-electron transfer, the well-designed AAB could exhibit state-of-the-art performance among AABs and even approach the energy density of commercial lithium batteries. Me
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 'Engineering plant resistance to nonspecific bacterial pathogens' under Fourth Framework.

assistant: **Concept**

Foreseen ResultsThis proposal assembles a combination of biochemical, immunological, molecular and genetic approaches to elucidate the plant response to Erwinia using potato as a model. The natural resistance of wild potato species and their hybrids with cultivated potato will provide a model to distinguish the defense genes and proteins associated with resistance to this pathogen. Definition of a category of relevant target genes will allow the use of the powerful transgenic-based approaches to obtain a set of signal transduction mutants and consequently clone the corresponding genes encoding regulatory proteins controlling plant defense responses. These mutants will define essential components in plant defense which can be subsequently utilized for engineering disease resistance. The proposed studies are likely to identify new disease resistance strategies for example by overexpressing signal components or relevant target genes in transgenic crop plants. The nonspecific nature of plant-Erwinia interaction suggests that resistance strategies developed to control this pathogen are likely to be effective against a broad range of different plant pathogens.Molecular breeding for disease resistance is likely to be the most effective way to generate disease resistant crop plants. Manipulation of the target genes implicated in induced resistance to pathogens or the signal transduction pathways controlling expression of such defense-related genes provide the most promising targets for development of this new generation of resistance strategies. Realization of these strategies will, however require a considerable investment in basic research on the molecular mechanisms of plant-pathogen interaction, characterization of signals and signal transduction pathways involved that lead
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 'FastML: Efficient and Cost-Effective Distributed Machine Learning', explaining its relevance to EU policy priorities under Horizon Europe.

assistant: **Impact**

Deep Learning is an area of massive progress, with myriad applications and significant industry adoption. A key enabler of its progress is the ability to train large, highly-accurate Deep Neural Networks (DNNs) in a distributed fashion, across tens to thousands of different computational nodes. Yet, DNN training at scale poses severe challenges to standard paradigms in distributed computing; existing distributed training approaches and their practical implementations, via training libraries such as PyTorch or TensorFlow, often suffer from major distribution bottlenecks, which can significantly reduce computational efficiency, leading to wasted time, money, and energy.The FastML proof-of-concept (PoC) project will tackle this efficiency challenge head-on, by introducing a distributed training framework that will significantly reduce or even eliminate the overheads of parallelization for practical distributed training workloads, in common usage scenarios. FastMLs distinctive feature is leveraging the algorithmic and software techniques developed by our ERC Starting Grant, in order to reduce distribution overheads at scale without impacting training convergence or model accuracy. FastML stands in contrast to current distribution techniques, which rely on hardware overprovisioningessentially, providing very fast but also very expensive interconnects between the computing nodes. As such, FastML can bring significant infrastructure and running cost improvements to its users, as well as lowering the cost and hardware entry barrier to training accurate machine learning models. The PoC will design and develop the FastML software library to target industry-relevant workloads via pilot projects jointly with our industrial partners. In addition, we will perform an in-depth market 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: Describe how 'Immune and Neuromodulation Mediated by Alphaherpesviruses' will create measurable scientific, societal and economic impact aligned with Seventh Framework.

assistant: **Impact**

Despite the advances against infectious diseases, morbidity and mortality still pose a very high social and economic impact. Viruses have developed a plethora of strategies to modulate the host. The main goal of my research is to investigate these strategies in order to understand viral immunomodulation, neuromodulation and pathogenesis. This will permit us to develop better intervention approaches to combat viral infections and their role in neuropathies. Due to their high prevalence and adaptation to their hosts, I will focus on relevant human pathogens within the Herpesviridae family: herpes simplex virus type 1 and type 2 (HSV-1 and HSV-2, respectively) and varicella zoster virus (VZV). These viruses establish latency in sensory ganglia of the peripheral nervous system. The mechanisms that allow the colonization of the nervous system by these viruses are unknown. The interplay between the virus and the immune system is relevant for persistence and pathogenesis.Chemokines and neurotrophic factors play a relevant role in the crosstalk between the immune and nervous systems. We have recently discovered the first mechanism employed by a virus, HSV, to modulate both sets of proteins. This novel strategy may be relevant for HSV spread, colonization of the nervous system and pathogenesis. Other relevant human pathogens, such as VZV, may express modulators of chemokines and/or neurotrophic factors. These hypotheses will be addressed using molecular, cell biology, functional assays, and mouse models.My previous experience in viral modulation, the multidisciplinary approach of the project and the interdisciplinary environment of the host institution will ensure the feasibility of this proposal. We will discover novel viral mechanisms of immune, neuromodulation and pathogenesi
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 'Detection and prevention of adulteration on the eu fruit juice market by investigation of the isotopic and compositional profile of minor components (PURE JUICE)' demonstrating excellence, impact and implementation quality for a Fifth Framework call.

assistant: **Abstract**

The fruit juice market is an important and growing sector of the European food industry. Problems of fruit juice fraud negatively influence market growth as damage consumer confidence. The project will address the detection and prevention of fruit juice adulteration by developing a number of specific methods based on stable isotope analyses, on the one hand, and high performance chromatography, on the other. A European consortium of major analytical laboratories from six different Member States will target specific authentication issues such as detection of added sugar, added acid, added Vitamin C, presence of undeclared fruit types, and the use of non-permitted technological processes. The outcome, a set of validated experimental methodologies will constitute powerful tools for customs and control laboratories in Europe.
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 'Data-driven Simulations for Understanding Reconnection and GEomagnetism' under Horizon Europe.

assistant: **Concept**

Understanding and predicting energization of particles in space plasmas, e.g. during sub-storms in magnetosphere, is a profound scientific challenge which is hampered by the complex multi-scale interactions in plasma. At present there is no global model which reliably captures the microscopic effects of energetic electrons which participate in matter and energy transfer in the Earth's space environment. These electrons may precipitate and present hazard for our space born assets such as satellites and space missions. The goal is to build a global physics-based magneto-fluid model of plasma with AI component that represents such microscopic physics via machine learning algorithms trained on particle in cell (PIC) simulations. By introducing physics-informed data-driven models, we aim to bridge the gap between local and global scales, offering unprecedented accuracy in simulating space weather phenomena. Such data-driven models will allow us to better understand and predict the evolution of magnetic storms crucial for safeguarding modern technological infrastructure. What makes this goal now possible in this interdisciplinary project are the advances in scientific machine learning in meteorology which the PI plans to bringing from environmental data science to plasma physics as well as the PI's current involvement in energy-conserving Particle in Cell simulations and previous experience in kinetic and magneto-fluid modelling. These innovations will lead to physics-informed data driven model that will be validated with space mission observations. If successful, we will have multi-scale multi-fluid models of plasma that will uncover magnetospheric loading by solar wind and the mechanisms behind acceleration of particles during magnetic sub-storms.


**Keywords:** closure, s