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 novelty, innovation potential and advance beyond the state of the art for 'Truck Security_ Fuel and cargo theft detection alarm system' (TruckSecurity).

assistant: **Innovation**

The Project objective is to develop and execute a market replication of IDTEQ’s   alarm system for road transport vehicles. IDTEQ provides a leading technology for secure and reliable alarm detection in remote and noisy environments.  The IDTEQ incident detection technology samples and analyses sound. Sensors and proprietary signal processing algorithms detect specific incidents and to discard false incidents.Fuel- and Cargo theft is a significant problem and a continuous threat to European road transport companies, but it is a criminal activity that is often given low priority. A prioritised task for the road transport associations is to fight criminal activities in the sector, so the association  wanted to find technologies to better protect the trucks. Conventional car alarm systems are not made to handle the specific treats of fuel theft or cargo theft, their market focus is on cabin protection and vehicle tracking.  The market development projects have verified strong value propositions for IDTEQs’ technology. IDTEQ has identified several strategic opportunities which will be developed in order to build a leading product offering for fuel and cargo theft alarm systems on road transport vehicles 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: Compose the 'State of the Art and Innovation' section for a Sixth Framework proposal on 'Chromosome substitution strains: a powerful tool to study the stress response in mouse'.

assistant: **Innovation**

The aim of the study proposed in this fellowship is to investigate an important brain system implicated in depression, the hypothalamic pituitary adrenal (HPA) axis, using a mouse model of social support. Stress plays an important role in the development o f depression and stressful life events have often been associated with the onset of depression. Social support has been found to have a positive effect on the outcome of a depressive episode, and may be acting as a buffer to protect against stress-related disorders. There is growing evidence for gender differences in response to such support that may be a reflection of the different coping strategies employed by men compared with women in response to stress. Functional genomic techniques in mouse offer a uniquely integrative approach in the analysis of the biology of a system in response to an environmental manipulation such as stress, leading to the identification of both gene-gene and gene-environment interactions.A multi-factorial set of studies are proposed that will investigate the interplay of gender, environment and genes at the level of behaviour, HPA axis physiology and gene expression using a powerful genetic tool, a panel of chromosome substitution strains (CSS) of mice generated from A/J (donor) and C57BL/6J (host) inbred strains of mice. The fellowship will provide training in physiological monitoring using telemetry and vena jugularis cannulation, using a novel and highly innovative approach of integrating data from different processes across a complex system. The fellow will gain invaluable training experience from researchers who excel in the field of physiological recording and the skills in systems biology gained will be of considerable benefit in developing an independent research career.
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 'A Social Identity Model of Trauma and Identity Change: A Novel Theory of Post-Traumatic Stress, Resilience and Growth' (SIMTIC), addressing dissemination and exploitation.

assistant: **Impact**

This project will develop a new social paradigm for trauma research that will allow us to understand post-traumatic stress and facilitate post-traumatic resilience and growth. This new paradigm holds that changes in social identities – the sense of self we derive from being part of valued groups – are at the heart of post traumatic outcomes. This breakthrough project will develop a synergistic model explaining how physiological, clinical and socio-political consequences of stress and trauma result from changes in the nature, extent and quality of social identities. Ground-breaking theory will be supported by ground-breaking methods. (1) Changes in group membership and identification and identity resources will be linked to objective measures of stress and trauma. Since, to date, emerging evidence of health benefits of group memberships and social identities have largely been demonstrated using subjective measures, this methodological advance is both novel and important.  (2)  Causal effects of positive and negative change in social identities on stress and trauma outcomes will be examined using longitudinal and experimental approaches, working in both laboratory and community contexts.  (3) Qualitative studies will explore whether changes in social identities are associated with post traumatic growth at the personal level as well as the novel idea that trauma can effect change and growth in social identities. (4) Finally, a large scale survey will assess whether trauma, via enhanced social identification, can drive progressive social change. This new paradigm will transform the conceptualization of trauma from individual to social; deepen our understanding of the physiological and psychological implications of stress and trauma; and link the personal effects of stress a
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 Fifth Framework proposal on 'Programme Pour Les Energies Renouvelables Et La Maîtrise De L'Energie En Europe Et Dans Les Territoires Insulaires'.

assistant: **Innovation**

L'objectif de notre programme est d'apporter une assistance à l'utilisation, l'exploitaion et la diffusion des résultats de la recherche sur l'énergie non-nucléaire, du développement technologique et de la démonsration de projets financés au titre du 5ème programme cadre et des précédents programmes.
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 'Simple Economic Management Approaches of Overlay Traffic in Heterogeneous Internet Topologies' (SmoothIt) under Seventh Framework.

assistant: **Objectives**

The use of mechanisms based on incentives for controlling and managing network traffic of overlay applications in the Internet is still in its early stages. Initial results have shown that such mechanisms do have the important property of scalability with respect to the number of players (i.e. providers, consumers, or peers), and lead to a more efficient network operation. <br/>In managing the traffic created and routed through their networks today's ISPs (Internet Service Provider), who may be in more general terms service providers on the basis of the IP, employ methodologies suitable for traditional traffic/service profiles. In the near future most network traffic will follow paths that form logical network overlays at the service layer, such as Virtual Private Networks, Network Management System overlays, or distributed collaboration overlays. As the structure of overlays determines the traffic flows in ISP networks, it is highly efficient for an ISP to influence overlay configuration based on information on their structure. Overlay types have to be managed to (a) maximize the benefit for multiple operators/ISPs involved, independently of an underlying topology and (b) to be operated autonomously to increase the capability to withstand faults, and balancing the load in the network. SmoothIt supports self-configuration due to its decentralized nature and its dependence on economic methods (incentives). Traffic management over the whole network emerges through local interaction and cooperation, which in effect makes the system self-organizing:<br/>(1) New theory of Economic Traffic Management (ETM) based on incentives and pricing<br/>(2) New decentralized network control and management mechanisms for overlay services in Internet-based multi-domain networks<br/>(3) Enh
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 Fifth Framework proposal on 'Predictive through process microstructural modelling of rolling and extrusion of aluminium alloys for client oriented and flexible (VIRFAB)'.

assistant: **Innovation**

The European aluminium manufacturing industry can only keep its present competitiveness if it can provide superior quality. Furthermore, the industry is obliged to produce with minimal environmental impact. To date, specific processing conditions are optimised on a piecemeal basis using specific models. Full optimisation can only be reached when the combined influence of all the processing parameters during fabrication is known. To make this knowledge applicable it is necessary that it is put in the form of a linked model, a Through Process Model. Such a TPM will provide the industry with a way to tune their processing route and thus their products towards the specific demands of their customers. Optimisation and intelligent processing will lead towards zero waste production and widen the possibilities to use alloys produced using a higher fraction of recycled aluminium. It is expected that this project will generate direct economic advantage of 154 M EURO. The indirect advantage for the whole EU will be even larger.
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Compose the 'Concept and Approach' section for a Horizon Europe proposal on 'The role of neuropeptides in host-parasite interactions: From molecular signaling to behavioral responses'.

assistant: **Concept**

Parasites can be found everywhere, playing crucial roles in ecological, economical, and evolutionary contexts. Despite this, host-parasite interactions, particularly those involving parasites that manipulate their hosts’ behavior to enhance transmission, are severely understudied. We therefore lack the knowledge to fully understand parasite evolution, ecology, and ecosystem impact. To begin uncovering the molecular basis of host manipulation, I aim to study the parasitic horsehair worm Gordionus violaceus, known for its ability to force its arthropod host into drowning itself. I will analyze the neuropeptide (NP) complement, binding affinities, and behavioral consequences of host manipulation. To do so, I will identify NPs and receptors in G. violaceus and its host, the cricket Gryllus bimaculatus, via a bioinformatics survey and validate my results via Mass Spectrometry. Next, I will assess the binding affinity between candidate parasite NPs and host receptors by transfecting cells and measuring their luminescence response. Lastly, I will validate the functionality of the candidate NPs and receptors in a behavioral assay, exploring water-seeking, suicidal and predator avoidance behavior in crickets exposed to the candidate NPs as well as crickets infected with G. violaceus. Introducing single and multiple injections will allow me to discern dose-response relationships. This proposal integrates cutting-edge techniques in bioinformatics, molecular biology, and behavioral analysis, offering a holistic approach to untangle the intricate NP dynamics within a host-parasite system. As we start to understand host-parasite interactions and manipulation we can gain crucial insights into the delicate balance of co-existence between organisms, shedding light on the ecological dyna
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 'smaXtec 4.0 – multifunctional Dairy Cattle Sensor System for a proactive productivity and health management in Dairy Farming' in the context of a Horizon 2020 call.

assistant: **Objectives**

Dairy farming is facing major challenges regarding a sustainable and cost-efficient growth. Total world milk production is estimated to grow from 819 million ton in 2014 to 1059 million ton in 2025. Key EU and global issues are the need for improved animal health as a precondition for higher productivity and environmental sustainability and new governmental regulations regarding food safety and traceability. Resource efficiency is an important topic regarding the use of limited land and feedstuff in order to reduce the environmental footprint of dairy farming and to help farmers optimize costs and increase average milk yield. The traditional structure of dairy farms is increasingly transformed into modern milk production farms. In this complex setting smaXtec is offering a solution for the herd management regarding the automated monitoring of animal health, breeding and optimal feeding. Based on the unique cross cutting know-how of the physiology and nutrition needs of cows on one hand and ICT technologies as sensors, wireless communication, software programming and artificial intelligence on the other hand, an integrated system has been developed. The overall objective of the innovation project is to optimize and commercialise a real time Decision Support Tool for a proactive healthcare management of cows. The aim is to assist the user by giving automatically generated clear advice on further actions “Calls for Actions”. Due to the immediate realization of benefits an ROI can be achieved within a few months. An increase in feed efficiency, improved fertility, increased longevity and savings on veterinarian treatment costs is estimated to lead to an average overall increase of yearly profit of 11%. smaXtec is specifically addressing the worldwide market segment for dair
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 'Supermassive black holes under the microscope: Revealing the dusty environment of AGN on parsec scales with IR and sub-mm interferometry'.

assistant: **Innovation**

The evolution of galaxies and their central supermassive black holes are intimately related. As such, it is of great interest to understand the active growth phase of these black holes and their influence on the surrounding host galaxies. I propose a project to study the outer, dusty region of mass accretion onto supermassive black holes with the objective to address the following open questions:* How is the accreting mass distributed? Do we see any dependence on the accretion state of the supermassive black holes?* Do we see a dusty wind that regulates or limits accretion on parsec scales? How does it work? Does this wind cause feedback reactions on the surrounding galaxy?* Why do dust emission features around supermassive black holes appear different than in the interstellar medium? Does the hard radiation from the black-hole environment change the dust composition?Each of these three topical units will be investigated in separate sub-projects that combine aspects of theory, modeling, and observations. More specifically I combine the latest high-angular resolution IR and sub-mm data from the frontline facilities VLTI and ALMA with models of the dust emission and of dynamical processes.As a main goal of this application I want to transfer my expertise in interferometry to Denmark to stimulate the use of ALMA and VLTI. These observatories are of prime interest to the European astronomical community as outlined in the ASTRONET framework and infrastructure documents. Via student training, teaching, and talks, I want to increase the appeal of this technique and its usage in Denmark, with new instruments about to be commissioned.
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 'Two-loop scattering amplitudes for top-pair production in association with a jet at hadron colliders' under Horizon Europe.

assistant: **Concept**

The Large Hadron Collider (LHC) at CERN allows us to investigate the fundamental laws of nature at unprecedentedly high energy. Our capability to harness this stunning potential relies on our ability to compute theoretical predictions to be compared against the experimental measurements. Keeping the theoretical uncertainties in line with the experimental ones requires computing theoretical predictions at least at the next-to-next-to-leading order (NNLO) in Quantum Chromodynamics (QCD), the quantum field theory which describes the strong interactions. A fundamental ingredient entering the theoretical predictions are the scattering amplitudes, which encode the probability distribution of the scattering processes observed in the experiments. The project targets the computation of the two-loop amplitudes for the production of a top-quark pair in association with a jet. These amplitudes are the main bottleneck towards obtaining NNLO predictions for this process, which is a high priority of the LHC physics programme. The presence of the top-quark mass in a process involving so many particles represents a substantial step up in complexity with respect to the state of the art. The main difficulty lies in the appearance of classes of special functions whose systematic treatment and efficient evaluation are still open problems. Overcoming this bottleneck will require a close interplay between physics and mathematics. The algebraic complexity of the amplitudes themselves also represents a formidable challenge. I will tackle it by employing cutting-edge techniques based on numerical sampling over finite fields and advanced algorithms of rational reconstruction based on algebraic geometry and physical properties. The success of the project will not only open the door to NNLO predict
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 'Democratizing Machine Learning for Big Series'.

assistant: **Objectives**

Shapelets is the first state-of-the-art Data Series Management System.  A Machine Learning platform that empowers users to obtain invaluable insights from their time series data in a way that no other tool or platform in the market does.Our innovation comes not only from a holistic and unique approach to time series data management but also from the implementation of recently discovered novel algorithms for time series data. We are a 100% private owned company focused on R&D.  We have a cohesive and highly-skilled team, where half of the employees know each other from a previous company and where leadership and management excel from a technical and business point of view. We are currently 7 people and plan to hire an average of 11 people each year to reach 52 by the end of 2023.  Our main verticals and use cases are in the following sectors: Energy, Industrial IoT, Aerospace, Automotive, Health, Sports and Financial.The major market barrier now is to reach critical mass with Shapelets as quickly as possible — a necessity for us given the novelty behind the idea. Our investment plan for for this market opportunity involves obtaining €2M from VCs in 2019 and a another €2M from VCs in 2020. With this funding we will be able to grow our team fast enough to launch the first full and free version of our product, promote our open-source platform so it becomes a standard for time-series analysis and continue building the different industry verticals.  We project to triple our revenue to 1.4€M in 2021 and double it in 2022 and 2023. We expect to start making profits from this project by the end of 2021 and a net income is projected to reach €1.15M in 2022 as sales increase and operations become more efficient.With this funding application we pretend to generate a feasibility stu