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 a project proposal abstract for 'Design and Fabrication of Micro, Magnetic and Shape-Memory Soft Robots' to be submitted under Horizon Europe.

assistant: **Abstract**

Current drug delivery methods often struggle with targeting hard-to-reach areas within the body, such as the brain. Traditional approaches, including endoscopic and surgical methods, are invasive, carry considerable risks, and face significant accessibility challenges. Systemic-based targeted drug delivery methods, like chemotherapeutics and targeted gene therapies, frequently fail to accurately reach and penetrate the desired tissues. There is a pressing need for innovative and effective techniques that enhance the precision and therapeutic efficacy of drug delivery, ultimately improving treatment outcomes and reducing risks. This project seeks to develop micro-scale magnetic and shape-memory soft robots for diagnostic and treatment applications within the brain's vascular system. These soft robots, measuring between 20 to 100µm, will be fabricated through additive manufacturing (AM) using a shape memory (SM) polymer embedded with magnetic nanoparticles (MP). This composition enables remote-controlled movement and actuation via external magnetic fields.Designed to deliver therapeutic molecules, these robots will allow for the precise release of substances such as drugs directly at the target site, significantly enhancing their effectiveness. Testing will be conducted using microfluidic in vitro models. In the near future, drug delivery to hard-to-reach regions could be as straightforward as performing a minor intravenous injection and spending a few minutes in a device similar to an X-ray machine.The knowledge and experience gained from this project will be crucial for the fellow to establishing a new research group, further enhancing the capabilities of soft robots for additional medical applications like blood clot retrieval and biopsy, thereby driving continuous inn
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 'Energy production and storage using biological ion transport systems' to be submitted under Horizon Europe.

assistant: **Abstract**

This project aims to create a “green” energy storage system that integrates a biological voltage source with a biological supercapacitor to achieve large energy and power capacities in a light-weight sustainable packaging. The project re-defines the concept of “biological engineering” to be one that utilizes proteins, molecules and lipids in combination with synthetic materials to assemble the smart micro/nanostructured energy storage system. There are at least four advantages to this “biological engineering” approach, including (i) the capability for self-assembly, (ii) the easy scalability that follows from using self-assembly, (iii) the easy assembly into 3D structures, and (iv) up to 1000-fold less energy requirements for switching functions compared to state-of-the-art ENODe systems. Moreover, the use of biological components can overcome limitations of existing battery technology, by improving the ecological footprint and environmental sustainability, and by enhancing lifetime, reliability, and safety. The system will be assembled as an array of interconnected vesicles to form a compartmental system to control ion gradients established by co-transport proteins incorporated in the interconnecting vesicle membranes. The system utilises the ion gradient to sustain a stable voltage output, and as a supercapacitor to store energy. The stable voltage output and supercapacitor function are sustained from ion gradients and not catalytic electrochemical reactions. Since the system will function both as a generator and an energy accumulator, we anticipate power management would require an integrated design, rather than a discrete design used for traditional source/supercapacitor systems. The energy capabilities will be tested by packaging the system to provide power for 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 clear, measurable objectives and define the scope for the project 'Ultrahigh sensitivity slot-waveguide Biosensor on a highly integrated chip for simultaneous diagnosis of multiple diseases' (SABIO) under Sixth Framework.

assistant: **Objectives**

SABIO is a multidisciplinary project involving the emerging fields of micro-nano technology, photonics, fluidics and bio-chemistry, targeting to contribute to the development of intelligent diagnosis for the healthcare of the future. SABIO will address this objective through the demonstration of a compact polymer-based and silicon-based CMOS-compatible micro-nano system. It integrates optical biosensors for label-free biomolecular recognition based on a novel photonic structure named slot-waveguide with immobilised biomolecular receptors on its surface.This structure offers the possibility of confinement and guidance of light in a nanometer-size void channel enhancing the interaction between an optical probe and biomolecular complexes (antibody-antigen). A slot-waveguide interferometric biosensor is predicted to exhibit a surface concentration detection-limit lower than 1 pg/mm2. that is the state-of-the-art in label-free integrated optical biosensors, with additional advantages such as the possibility of multiplexed assay, which, together with reduced reaction volumes, leads to the ability to perform rapid multianalyte sensing tests, offering further advantageous possibility of quantitatively assaying several parameters simultaneously (e.g. several cancer-associated antigens in one sample or several diseases antigens). Consequently, statistical analysis of these results can potentially increase the reliability of a diagnostic over single-parameter assays. In addition, SABIO has the potential to be fast and easy to use, making routine screening of diseases more cost-effective.The ultimate targeted by SABIO is demonstrating the fast diagnostics 'outside' of laboratory settings (eg. at 'point of care', in such as General Practitioner's surgery, in the field or in urgent s
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Compose the 'State of the Art and Innovation' section for a Horizon 2020 proposal on 'FOSTERING SOCIALLY INNOVATIVE AND INCLUSIVE STRATEGIES FOR EMPOWERING CITIZENS IN THE RENEWABLE ENERGY MARKET OF THE FUTURE'.

assistant: **Innovation**

Realising an accelerated expansion of renewable energy will require a switch from centralised to decentralised energy production and greater social participation, together known as energy democracy. The increase in energy democracy and social equity will be an essential part of the clean energy transition.  A transition that could represent one of the most fundamental social, economic and technical changes in modern history.The most common businesses associated with social innovation in the renewable energy sector are Cooperatives, Aggregators and Crowdfunding platforms.  These businesses facilitate consumers to take a more active role in the electricity system. Achieving sustained growth in energy democracy requires a better understanding of support structures for successful social innovation across technical, legal and economic systems. SocialRES aims to devise more effective ways of increasing social innovation leading to greater social acceptability as well as more durable governance arrangements and socioeconomic benefits.Through research excellence and co-creation of knowledge with relevant stakeholders, SocialRES will develop socially innovative and inclusive strategies for the energy system of the future. SocialRES will supplement the existing fragmented data on social innovations with new understandings from businesses, end-users and stakeholders to provide a comprehensive evidence base for policy design.  The project will employ innovative techniques such as a Peer to Peer (P2P) crowd-investing for renewable energy sources (RES) projects, P2P lending and P2P virtual RES energy aggregator platform. The SocialRES team combines partners from a range of disciplines together with industry expertise to develop a comprehensive understanding of the strengths and limit
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 'Echoes of Experience: How statistical and reward learning guide our decisions' (RewSL), addressing dissemination and exploitation.

assistant: **Impact**

Our visual system constantly encounters a plethora of stimuli, drastically surpassing our processing capabilities for in-depth analysis. It is hence essential to select the element(s) that is most relevant for our objectives and ignore irrelevant ones. One helpful feature for this is that the world is characterized by numerous regularities making it partially predictable. Our brain can extract these regularities from past experience and use them to efficiently guide target selection. Recently, significant scientific interest has been directed to two forms of learning that focus on two types of regularities: in reward-mediated learning (RL), people learn which stimuli are associated with reward, prioritizing the elements related with high (vs. low) reinforcement. Statistical learning (SL), in contrast, allows people to extract statistical regularities from the environment, such as how often a stimulus occurs in a specific location, optimizing future actions toward the location where the relevant element appears frequently. In everyday life RL and SL coexist and they jointly guide our selection of relevant stimuli. However, they have been mainly addressed separately using divergent tasks, hindering a direct comparison of the results and assessing their combined influence. This project seeks to bridge this gap by systematically comparing RL and SL in a systematic and well-balanced experimental setup to understand how people implicitly learn from their past experience. Using a series of consistent experimental tasks, behavioral, ocular and electroencephalography measures will be recorded from healthy human volunteers to assess the individual and joint effect of RL and SL on the process dynamics from target selection until response execution. Furthermore, employing Markov de
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 Horizon 2020 proposal for the project 'Providing Predictive Maintenance for Wind Turbines Over Cloud'.

assistant: **Objectives**

At least 3% of wind production downtime due to breakdowns and maintenance problems that can reach up to 40%. This leads to production losses of over €2.9 billion worldwide annually. Our current SmartCast remotely connects SCADA and sensor data with a virtual database to monitor wind turbines. It involves algorithms based AI, cloud computing and data mining. The SmartGear product is a low cost Condition Monitoring System based on IoT technology which acquires raw data and connects with SmartCast Platform for further processing. The overall objective of the future Phase II Cloud Diagnosis project is to scale-up our SmartGear technology by introducing communication protocols that allow us to extract data from multiple devices allocated in the wind turbines and additional transducers. Additionally, SmartCast cloud diagnosis algorithms need to be improved. Our innovative solution will allow faster detection of wind turbine system failures through complex algorithms implementing intelligent sensor fusion, therefore, optimizing the performance of wind turbines. It does not require onsite visits but provides information online. In this way, our technology will be able to: Reduce wind turbine maintenance cost by 20%: €44 million annually in the Spanish market, €190 million per year in Europe and €440 million annually in the world market. Reduce wind turbine operation cost and component replacement of cost by 20%: A standard park of 50 MW (16 turbines) installation power working 2,100 hours per year faces production losses of at least €378,000 annually. Our system enables 20% savings of €75,600 (€4,725 per turbine). Currently, our SmartCast platform processes real-time data from SCADA and sensors by means of SVM (support vector machine) in 300 turbines. Our SmartGear Solution is
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 'Reusing steel for Emission reduction through AI-driven Cutting-stock Tool' goes beyond current state-of-the-art under Horizon Europe.

assistant: **Innovation**

Reusing steel for Emission reduction through AI-driven Cutting-stock Tool (REACT) is a pioneering research endeavour that will introduce a novel, openly available, interactive plug-inned tool for the integrated and streamlined use of AI-driven optimisation processes at the design phase aiming to maximise the reusing ratio of reclaimed steelwork for new building construction. Specifically, a novel Multi-dimensional Pareto front decision-making optimisation tool is proposed to incentivise sustainable design approaches. The proposed framework will be able to provide several design scenarios based on different percentages of reusing steelwork according to the availability of the steel stock, economic resources, and the proper needs of clients by managing the architectural and structural performance of the new building. The sustainability of the design solutions will be evaluated case-by-case through the calculation of environmental qualities obtained with innovative integrated Life-cycle assessment methodologies accounting for the entire life cycle of the building products. The proposed optimised tool will be connected to commercial structural software as a design support plug-in, able to predict the best trade-off between the adoption of reclaimed and new steel encouraging reusing practices among designers and stakeholders of the supply chain. Despite the existing level of knowledge on reusing steel, REACT proposed unique and innovative technical support to overcome the barriers to steelwork reusing in the building construction sectors while preserving the built environment from climate change and resource consumption.


**Keywords:** Reusing Steel, Waste Minimisation, Optimal Design, Lyfe-Cycle-Assessment (LCA)
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 Seventh Framework proposal on 'Fabrication of particles with photo receptors: bio-analytical application such as controlled drug delivery'.

assistant: **Concept**

The importance of carbon-based materials in biological applications has been recognized. Especially, nanodiamond particles (referred to as nanodiamonds, NDs) have started to emerge as novel candidate for promising applications in the field of nano-biotechnology as imaging probes and drug carriers. NDs do not show the toxicity of other nanoparticles, notably gold, making them ideal nanoscale drug delivery platforms. Furthermore, NDs can exhibit intrinsic fluorescence from point defects making them candidates for biomedical imaging applications. ND particles are particularly attractive for biomedical applications as functionalization and biomolecule immobilization are readily accomplished. Triggered drug release allows the functionalized NDs to find their targets before the drugs are activated by local conditions. In this sense, the NDs are performing the well established role of postdrugs, smuggeling the inactive compound to their targets where they are released through bond cleavage.The objective of the proposed program concerns the fabrication of NDs modified with photo-label linkers where different molecules can be directly attached, without chemically modification of the biomolecule itself. In a proof of principle, horse radish peroxidase (HRP) will be linked to NDs modified with the photo-label o-nitrobenzyl group and the release followed by UV/Vis. In a later state the controlled release of drugs such as ibuprofen, adriamycin or antigens will be looked at.The proposed research project brings together centers from France, the UK, Spain and the Ukrain. The network offers training in the fabrication and characterization of new materials for biological applications.
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 'European Strategic Intermodal Links' (EUROSIL), addressing dissemination and exploitation.

assistant: **Impact**

EUROSIL will provide a Spatial European Set (SES) of Guidelines, Criteria and Modelling and Evaluation Tools based on an overall Spatial Evaluation Framework (common methodology for the Trans-European TEN and Pan-European Networks PEN). More specific objectives:1. Multimodality (i.e. competition between transport modes in the same corridors with the scope to achieve an optimal modal split).2. Intermodality (i.e. feasibility to implement an integrated transport chain).3. Interoperability, considering mainly organisational issues as well as the assessment of any kind of barriers.4. Impact to the Area Development: This task could enhance all the non-transport planning issues including the regional & economic development for the categories of different regions.EUROSIL will also cover the following topics:1. Passenger and Freight Transport.2. Travel Modes (road, rail, air, waterborne including short sea shipping and inland waterways, and pipelines).3. Infrastructure and networks, taking into account not only existing but also new elements of all networks.4. Organisational structure, with the consideration of the legal and institutional framework and the level of regulation.5. The requirements of potential end (e.g. passengers) and intermediate users (e.g. operators, customers and authorities).6. The economic issues, i.e. allocation of infrastructure & external costs, tax regimes & return of investment.7. The impact of new technologies, including information technology and transport telematics tools. %Fast Handling System (DE), Brussels (BE), Stuttgart (DE), North-Western Macroregion (IT), Austria-Hungary Corridor (AT, HU), London-Birmingham Corridor (UK), UK-Ireland Corridor (IR, UK), Finland-Intependent Republics Corridor (FI), Euro-Arctic Corridor (FI), Airport & Freight T
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 'Molecular recognition of transition states' under Fourth Framework.

assistant: **Concept**

To understand the catalytic power of enzymes and to account quantitatively for the large rate accelerations they bring about is a challenging task. Model systems have given insight into how enzymes achieve their high efficiency and it is now possible to explain part of enzymic catalysis with 'ordinary' chemical reasoning. For the most common class of biological reactions, proton transfer, few models exhibiting high efficiency are available. Recent work in Cambridge has shown that highly efficient proton transfer in enol ether and acetal hydrolysis is possible, when strong intramolecular hydrogen bonds are present. Workers in the U.S. (in particular Gerlt and Gassmann) have independently come to a similar conclusion. We want to follow this lead and propose to synthesize and test several models for enolases and racemases. They are designed to shown high efficiency for the reverse reaction, i.e. abstraction of protons in Alpha-position to carbonyl groups.