RCaz/eu-funding-proposals-sft huggingface dataset:
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Explain how 'Scalable and Customizable Power Transformer Monitoring System' goes beyond current state-of-the-art under Horizon 2020.

assistant: **Innovation**

Power transformers (PT) are the most expensive and strategic components of any power system. Their failures (even catastrophic) or deterioration can jeopardize firms’ productivity. Transformers Monitoring Systems (TMS) are becoming key tools for a proactive and preventive maintenance.However, most TMS in the market are basic “data collectors” or partial solutions that do not cover all critical parameters. Current high-level TMS to support decision-making are only cost-effective for Large Power Transformers (LPT) over 16MVA. Therefore, there is an important market niche: those LPT below 16 MVA and the whole Medium Power Transformers (MPT) segment. Besides, none of the TMS in the market monitors PT in a de-energized situation, as the transport from the manufacturer to the purchaser’s facility, when improper handling or storage can lead to serious damages.Reycon is a 20-year experienced electromechanical firm, provider of the major worldwide PT manufacturers. SCAN is our innovative and cost-effective TMS, completely scalable and customizable for all range of PT (from LPT to MPT), which is the result of a 2-year R&D project. It is an affordable diagnosis tool full of functionalities for all our end-users: PT manufacturers, electricity producers, industries, insurance and cargo companies. Due to different operative environments, 2 systems have been tested: SCAN Transport (de-energized conditions) and Operation (operating conditions).This study is aimed at confirming the technical, commercial and financial feasibility of both SCAN-TMS, through the update of the market data, a FtO analysis, a Work Plan for the technical optimization, and a review of our business plan. We will use our sound market position to launch SCAN-TMS, first in those countries with Reycon’s presence, and
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 'Space and Time Resolved Ultrafast Dynamics of Few Porphyrins Derivatives in Nanosystems' (FENASY), addressing dissemination and exploitation.

assistant: **Impact**

In this project (FENASY), we wish to study fast (picosecond regime, ps) and ultrafast (femtosecond regime, fs) dynamics of some (guests) porphyrins derivatives in solutions and confined in chemical and biological nanocavities and nanochannels provided by cyclodextrins, Human Serum Albumin protein, and MCM-41 zeolite. The guests and hosts are being used in different fields of Science and Technology. We will interrogate their photoreaction and relaxation dynamics and study the effect of nanoconfinement on the related and subsequent elementary events at both ps and fs time scales. Powerful techniques based on ultrafast laser and single molecule technologies will be our tools to carry out FENASY. We will then focus on studying the relationship between the photodynamics (time domain) and nature and size of the formed nanostructure (space domain, nano to micrometer domain). The expected results will allow explaining the relaxation behaviour of these important molecules upon excitation to Soret and Q- bands, and the relationship to their photochemistry in solution and for the first time within chemical and biological nanocavities and nanochannels. We believe that the expected results will be of great interest to the scientific community in designing new derivatives of these and other systems for use in nanotechnology (nanoLED’s, nanostwitches, etc), nanodrugs (nanophotodynamics therapy of cancer), and environmental science (heavy metal nanocleaning).  Key words. Femtochemistry, single molecule fluorescence microscopy, porphyrins, nanocavity, cyclodextrins, protein, zeolites, dynamics, emission, absorption, nanotechnology, biotechnology, environmental science, photodynamic therapy.
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 'Opening New Markets for SMEs: Intelligent Ice Sensing and De-icing System to Improve Wind Turbine Efficiency in Cold Climates'.

assistant: **Innovation**

Technical limitations constrain the use of wind turbines (WT) in extreme (cold) climates. These arise in Northen (Scandinavia, Scotland) as well as high altitude (Switzerland, south Germany, France, Spain, Italy, Austria) regions in the EU. The main challenge is ice formation on the WT blades which significantly reduces their performance and can ultimately cause shutdown. Power losses related to icing of 14-20% in cold climates are common.  Ice formation causes significant issues with the safety, the efficiency, the lifetime and the economic viability of wind turbine technology. As a result in harsh climates WT are not used as widely as they could be, even though cold climates often offer the most potential in terms of available wind.The overall objective is to develop and demonstrate knowledge and technology for the large scale deployment of wind turbine farms in regions with extreme climates with levels of reliability and at a cost of energy generation currently not possible.Currently icing is addressed with heating removal systems that are costly (use high power) and are untargeted (have limited or no accuracy capability).This project will address both issues by developing a state of the art understanding of ice formation on wind turbine blades which will lead to the development of an accurate ice detection system (based on a novel multiwavelength interdigital frequency wavenumber dielectrometry sensor) and a low power localized heating system (based on graphite coatings). Both innovations will be integrated into a single system which will be validated in real conditions.
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 'Initial Conditions for Quark and Gluon Matter Formation at the LHC' (InitialConditions).

assistant: **Innovation**

The central goal of heavy-ion physics at the energy frontier is to create, and study in the laboratory, Quark-Gluon Plasma (QGP), a state of matter predicted by the fundamental theory of strong interactions. Current state-of-the-art interpretation of experimental data from the LHC experiments relies on Bayesian global fits of anisotropic flow vn and mean transverse momentum [pT], and provided the first quantitative measures of the fundamental transport parameters (shear and bulk viscosity) of the QGP. This represents the best understanding of the QGP so far. However, recent studies of the correlations between anisotropic flow and mean transverse momentum reveal that no existing Bayesian analysis can describe the new data in a consistent way because of the lack of constraints on the initial conditions, which set the stage for the subsequent dynamic evolution. Hence, it is scientifically urgent to significantly improve understanding about the initial conditions in the various collision types that can be probed at the world’s leading facility, the Large Hadron Collider, to be able to extract precise properties of the QGP and its dynamic evolution as a function of temperature (time).  In this ERC project, I will develop methodology for studying genuine correlations between vn and [pT], using a new approach, a multi-particle cumulants technique. This will give unique insights into the initial geometric conditions, shape, size and their correlations and fluctuations. To achieve this, I will measure on various collision systems (129Xe, 16O and proton) during the coming LHC Run 3. These pioneering measurements, and the resulting new analyses, will decisively advance our understanding of those crucial initial conditions, that are the platform upon which the analysis of the entir
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 'Analysis of the cellular function of type III secretion effectors of Chlamydia trachomatis' (CHLTRT3SE) under Seventh Framework.

assistant: **Objectives**

Chlamydiales are a large group of highly related obligate intracellular bacteria that includes the human pathogens Chlamydia trachomatis and Chlamydophila pneumoniae. C. trachomatis is an agent of genital and ocular infections, and Cph. pneumoniae causes atypical pneumonias. All Chlamydiae use a type III secretion (T3S) apparatus to translocate ~ 60-90 effector proteins into host cells. These effectors are thought to play crucial roles in chlamydial dissemination but little is known about their functions because Chlamydiae are intractable to genetic manipulation. I aim to identify new C. trachomatis T3S effectors and to further understand the secretion and function of known effectors. I will explore the ability of T3S systems to recognise substrates from heterologous systems and use Yersinia and Salmonella to: screen for T3S signals in potential effectors of C. trachomatis; examine the function and expression of a few uncharacterised C. trachomatis T3S effectors, by conducting yeast two-hybrid screens and producing specific polyclonal antibodies; establish a “proof-of-principle” for the long-term goal of using a Salmonella T3S effector poly-mutant strain capable of translocating chlamydial T3S effectors into host cells. This will be done by using Yersinia to determine the requirements for T3S of full-length C. trachomatis Inc proteins, which localise to the vacuole enclosing intracellular bacteria, and by using Salmonella effector poly-mutant strains to study the biological function of the chlamydial effector Tarp. This promises important advances in our understanding of the virulence of intracellular pathogens, ultimately helping to combat infectious diseases. The execution of this work will therefore have an impact on European health research and will help me to estab
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 'Federated artificial intelligence for privacy-preserving international stratification of colorectal cancer patients' to be submitted under Horizon Europe.

assistant: **Abstract**

In the EU, 1 in 35 women and 1 in 23 men will be diagnosed with colorectal cancer (CRC) in their life span (ca. 340,000 cases and 156,000 deaths in 2020) causing an annual economic burden of ca. 20 billion EUR. Identifying CRC early enables better treatment options. Screening usually entails a quantitative faecal immunological test (FIT) to predict the need of colonoscopy for the detection of colorectal lesions, an expensive and invasive procedure. We aim to predict this need with specificity increased by >20 percentage points by using metagenomic microbiomes. We hypothesise that computational microbiome profiles extracted using artificial intelligence (Al) technology will allow for optimised personal therapy stratification. However, clinicians do not have access to broad microbiome data. With Microb-AI-ome, we will develop a novel kind of computational stratification technology to enable microbiome-enhanced precision medicine of CRC. Metagenomic microbiome data to date is distributed over many national registries, and privacy regulations are hindering its effective integration. With Microb-AI-ome, we will overcome this barrier by establishing the first privacy-preserving federated big data network in CRC research. We will integrate isolated, national databases into one international federated database network - rather than a cloud - covering metagenomes for over 5,000 individuals screened for CRC, and an expected total of 100,000 by 2026. Microb-AI-ome ensures that no sensitive patient data will leave the safe harbours of the local databases while still allowing for the classification of clinical CRC phenotypes, which we will demonstrate in clinical practice allowing regulatory bodies to adopt evidence-based guidelines. Our consortium combines expertise in CRC and its
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 Fifth Framework proposal for the project 'International cooperation to improve efficiency and reduce environmental impact for fossil fuel fired power plants within China'.

assistant: **Objectives**

The primary objective of the proposed Accompanying Measure is to quantify the scope for EU industry to cooperate with their Chinese counterparts for the provision of technology and services to improve the energy efficiency and environmental performance of the existing coal-fired power plants (that represent some 80GWe of capacity in the range 125 MWe - 300 MWe which must continue to be operated and life extended). This will directly aid the competitiveness of European industry in the Chinese market, and assist in stabilising the levels of transnational greenhouse gases arising from the Chinese power sector.
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 'Assessment of in situ biodegradation of fuel additives (mtbe, etbe) using innovative concepts based on stable isotope labelled substrates' (2002-2006) under Sixth Framework.

assistant: **Objectives**

Fuel oxygenates were developed in the 1970s as octane enhancers to replace toxic additives like lead, which were phased out of gasoline. Methyl tertiary butyl ether (MTBE) is by far the most commonly used oxygenate worldwide and in Europe, large amounts of MTBE are manufactured and used each year. As a result of this intense use and its physical-chemical properties, MTBE has become one of the most frequently detected volatile organic compounds in groundwater.However, ethyl tertiary butyl ether (ETBE) is be coming a preferred alternative to MTBE in some countries of Europe due to tax incentives for the application of biomass-derived ethanol which is utilized to produce this compound. Some high polluted sites have been identified in Europe in the last years, particularly in Germany, becoming obvious how important knowledge of fuel oxygenates natural attenuation processes is with regard to cost-effective management of contaminated sites and accomplishing the new EU chemical legislation. The main scientific aim o f the present project is the assessment of in situ biodegradation of fuel oxygenates (MTBE, ETBE) in gasoline-impacted sites. This purpose will be accomplished by the application of innovative methodologies that combine the use of unique biofilm-sampling systems under in situ conditions with advanced stable isotope and labelling techniques.In this framework, the objectives will be to(1) prove unequivocally the assimilation of fuel oxygenates with formation of biomass by indigenous microorganisms,(2) to use this transformation as a quantitative indicator for in situ biodegradation,(3) identify and compare the microbial community composition with different geochemical conditions and different carbon substrates,(4) link these processes to active organisms and(5) eluci
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 'Model based iterative reconstruction algorithms for optical tomography' (1994-1998).

assistant: **Concept**

Research objectives and content Optical Tomography (OT) is a novel emerging imaging modality in medicine. It is employed to reconstruct the interior of biological tissues and organs from various measurements of transmitted near- infrared light intensities. The source is typically a laser whose light is delivered through optical fibers to several location on the surface of the body part under investigation, for example, a female breast or an infant head. The technology for making near-infrared, light-transmission measurement on human subjects is nowadays readily available. However, a major challenge remains the development of computer algorithms that transform these measurements into useful images of the interior of large organs. Unlike x-rays, near-infrared photons do not cross the medium on a straight line from the source to the detector. Light is strongly scattered in biological tissue. Hence conventional back-projection algorithms or other standard reconstruction methods can not be used in OT. The goal of the proposed work is to develop a clinically applicable algorithms for tomographic image reconstruction based on optical transmission measurements. To provide maximum accuracy, efficiency, and speed, I plan to design and test model-based iterative reconstruction codes, which utilize the equation of radiative transfer, employ Bayesian analysis methods, and use adjoint differentiation techniques. Training content (objective, benefit and expected impact) Training will be provided by Dr. Arridge and his faculty colleagues in mathematical and computational methods concerning image reconstruction in Medical Imaging, especially Optical Tomography. Close collaboration with the engineering team around Dr. Delpy and medical staff headed by Dr. Wyatt at the UCL Hospital will p
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 'Improved procedures for flatfish larval rearing through the use of probiotic bacteria'.

assistant: **Concept**

OBJECTIVES AND EXPECTED ACHIEVEMENTSThis proposal provides a new and systematic approach to improving the rearing conditions of larval turbot and halibut by using biological, non-antibiotic dependent measures of disease control. The results will be transferable to many other larval rearing systems in aquaculture.The objectives of the work are to:* bring together 6 partners in one team to pursue, interactively, four different approaches to the application of probiotics (bacteria which are beneficial to health by preventing the harmful effects of certain other disease-causing microorganisms) in flatfish larval rearing.* provide large numbers of bacterial isolates, from a range of sources potentially suitable for use as probiotics of larval flatfish, and thereby improve larval survival and health.* screen the above bacteria using in vitro tests to identify those suitable for use as probiotics.
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 'In situ monitoring of the toxicological evolution of nanoplastics in living organisms' (CFENPLs), addressing dissemination and exploitation.

assistant: **Impact**

Nanoplastics (NPLs) are one of the most hazardous emerging environmental pollutants. We nevertheless still have a limited understanding of the precise toxicological mechanisms in living organisms. Herein, we propose a miniaturized electrochemical sensing platform combined with single-cell techniques to simultaneously and dynamically monitor the concentration of NPLs ingested by a single cell that is actually causing adverse effect and the release of toxicological markers (such as H2O2, H2S or specific DNA/RNA) from cellular damage. The implementation of this project is based on the innovation of the preparation technology of carbon-based microelectrodes functionalized with alkyl chain monolayer and recognition sites, which for the first time will be simultaneously integrated with single-cell analytical techniques for environmental risk assessment. Investigating the toxicology of NPLs at the single-cell level can avoid obtaining only the average expression of a population of cells and ignoring intracellular heterogeneity. Meanwhile, the toxicological concentration of NPLs and the type and concentration of toxicological markers will be efficiently matched, screened and quantified using machine learning, which can provide a phased and hierarchical understanding of the mechanism of toxicity evolution of NPLs in individual cells, and thus provide accurate references for the prediction of and early warning on the toxic effects of NPLs on living organisms. The development of this interdisciplinary technique is expected to not only broaden the understanding of the hazards of NPLs and reveal the evolutionary process of toxicity caused by NPLs, but will also provide an analytical platform for toxicological assessment of other types of pollutants. Moreover, it is promising to prom