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

user: Write the concept and methodology overview for 'Cereal yield estimation system' under Fourth Framework.

assistant: **Concept**

This project aims to develop a pilot cereal yield estimation system for the Agricultural Department of the Regional Government of Castilla y Leon, Spain (JCL) The system will be based on crop growth models and time series of high resolution satellite images. The output from the system will be reliable, timely and objective predictions of expected cereal yields for the study's trial site and for each of the agricultural districts within the site This information will feed into and complement the JCL's current forecasting programme to support the decisions that depend on it. The JCL uses yield estimations throughout the season, as a vital input to policy making. The Studies and Statistics department receives requests for information from many sources: grain storage suppliers, seed wholesalers, researchers, buyers and many other interested parties. As well as keeping themselves informed the data is also of value to the JCL for determining compensation payments for losses due to bad weather paid for by the Integral Insurance fund that they manage. Much of the emphasis and development in recent years has been driven by Community needs at European level. Hence programmes such as MARS have .developed sophicticated techniques geared primarily at the services of the Commssion in the administration of the Common Agricultural Policy and the statistical information required by Eurostat. However, as stated above, this information is not suited to the operational needs of regional autorities like the JCL. The main objective of the project is to produce cereal yield predictions based on time series of high resolution satellite images and crop growth models for the regional government of Castilla y Leon. This requires: - the transfer of technology developed by Logica and the University
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 'Improve Safety in Polymedication by Managing Drug-Drug-Gene Interactions' to be submitted under Horizon Europe.

assistant: **Abstract**

Polypharmacy, multimorbidity and genetic heterogeneity can affect drug efficacy, raise the risk for adverse drug reactions (ADRs) and increase healthcare costs. ADRs are among the leading causes of death in developed countries and a major cause of hospitalization. Drug-drug interactions (DDIs) and drug-gene interactions (DGIs) are highly interconnected and require a holistic approach to improve safety of our citizens. However, investigations on real-life drug-drug-gene interactions (DDGIs) in clinical trials are unfeasible due to combinatorial explosion, high costs and ethical concerns. Hence, significant knowledge gaps exist. Furthermore, the lack of participation in managing their conditions might be excessively demanding for polymedicated and multimorbid citizens. SafePolyMed will develop a novel and innovative framework to define, assess and manage DDGIs for physicians and individual patients resulting in education and empowerment of citizens as well as in reduced healthcare costs by improving patient safety. The main objectives of SafePolyMed are (1) development of a novel, evidence-based risk scoring system using machine learning on large real-world datasets to identify patients at risk; (2) identification and validation of patient reported outcome measures for multifactorial patient safety in collaboration with European patient organizations; (3) development of an electronic tool to empower patients by allowing them to properly manage their therapies, check for and educate about DD(G)Is and collect their patient reported outcomes; (4) mathematical modelling of clinically relevant compounds to derive individualized dose adaptations for safe and effective dose regimens in case of DDGIs, accessible via a web-based decision support system with tailored information fo
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 'Odour and pheromone transport in insects and mammals' to be submitted under Fourth Framework.

assistant: **Abstract**

Systems: This programme of research will address the molecular components Involved in chemical communication as expressed through the olfactory system. Proteins from mammalian and insect sources which bind biologically active small molecules will be structurally and functionally characterised and subjected to techniques in protein engineering to further explore the fundamental structure/function relationships. Work to date has identified mammalian odour and pheromone-binding proteins with the lipocalin family, but some of this sub-family exhibit unique structural features. Important aspects such as the conformational effects of ligands binding and the consequent influence of the interaction with membrane-bound receptors remain to be elucidated in structural terms. Knowledge of the insect system, which exhibits even greater specificity, is more limited still, the only indication so far being that the carrier proteins do not take up the classical lipocalin fold. Thus the specific objectives are: (i) the 3D structure of insect PBPs, (ii) the 3D structures of new OBP, PBP-ligand complexes, (iii) conformational dynamic analysis of OBPs and PBPs, (iv) mutagenesis and structure/function analysis of OBPs and PBPs, (v) development-identification of new ligands and ligand-protein complexes, (vi) biotechnological applications of new ligand discovery and protein engineering, (vii) development of new assay procedures, and (viii) analysis of behavioural effects. Approaches: The principal approaches will be X-ray crystallography and NMR spectroscopy of native and recombinant proteins, with and without ligands. Mutagenesis, protein characterisation and functional assays will be used to investigate the fundamental features of various OBPs and PBPs, which will in turn be correlated with
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 'FOsteRing innovation culture for a new generation of GEorgian AI research community', explaining its relevance to EU policy priorities under Horizon Europe.

assistant: **Impact**

Georgia, EU candidate country and one of the Widening countries in Horizon Europe Programme, needs urgent improvements in its Research and Innovation (R&I) system to cope with the fast pace of Artificial Intelligence (AI) revolution and to become a valuable contributor to the European AI strategy implementation. The FORGE-AI project aims to significantly improve the innovation potential of the Georgia’s R&I system and provide a sustainable conditions for boosting research careers of young researchers across sectors, especially in the area of AI, by (1) strengthening innovation-related capacities of leading young AI researchers and research managers (“Talents”); (2) introducing and demonstrating the added value of cross-sectoral mobility & knowledge circulation, and (3) modernizing the national innovation supporting funding mechanisms to incorporate career-boosting principles. The innovation training component will involve at least 20% of all AI R&I talents of Georgia plus representative from neighbouring Armenia in the comprehensive blended learning innovation and entrepreneurship programme, thus equipping the young talents with competences for successful cross-sector careers. The secondment programme will allow 25 talents to spend, in total, 234 months on cross-sector cross-border secondments contributing to their employability and career prospects. The experiences collected through the project activities will compose a basis for national practices and policies in the field of research training improvements. The participation of major R&I funders, leading AI research performers, AI startups and NGOs from Georgia plus AI research company from Armenia, as well as leading European AI research centre, German University innovation and entrepreneurship ecosystem and large Eu
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 executive summary for the EU project 'Unlocking Triterpenoid Structural Diversity and Bioactivity through Genome Mining' (TRIGEM) targeting Horizon 2020.

assistant: **Abstract**

The triterpenoids are one of the largest and most structurally complex plant natural products.  They are widespread in the Plant Kingdom and have a huge array of structures and numerous associated biological activities.  They have important roles in plant defence and signalling.  They are also exploited by humans as food supplements, drugs and cosmetics across various sectors.   In the past the discovery and production of triterpenoids has relied mainly on isolation from extracts of natural sources and subsequent structural elucidation and chemical modification. These methods suffer from low efficiency and high cost, and are not environmentally sustainable. We herein propose a greener and more sustainable but as yet largely unexplored synthetic biology-based approach that involves genome mining and metabolic engineering to synthesise structural variants of triterpenoids, with a view to discovering novel structures with biological activities for various application prospects in a rapid manner. This project will also shed new light on the biosynthetic pathways of triterpenoids by uncovering new genes and enzymes and will open up opportunities for production of important triterpenoids via further metabolic manipulations in plant or microbial ‘green factories’.
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 'Neuron-based Monitoring Electrochemical Bio-Sensor Interface System' in the context of a Horizon 2020 call.

assistant: **Objectives**

Reliable, real-time detection systems for in-vivo, continuous monitoring of biological and chemical processes consist a crucial aspect in personalised healthcare. Nevertheless, even nowadays, the medical practice still lacks of systems providing a rapid, reliable and ultra-sensitive sensing in a continuous way. Meanwhile, inflammatory markers consist a pivotal tool in clinical practice since they may be indicators of specific diseases, along with signalising the response of a patient to a specific medical treatment. Nanotechnology-based devices exhibiting memristive electrical properties show great potential for delivering highly scalable, resilient, power efficient and reconfigurable electronic systems. In addition, when those particular nanodevices are subjected to appropriate surface treatments and implemented in the role of bio-inspired sensors, they can bring solutions and introduce novelty to the bio-sensing field regarding highly sensitive and robust detection of biomarkers, while expanding and broadening the research field and applications involving memristive phenomena. In the framework of this fellowship, a flexible, low-cost miniaturised minimally invasive sensing platform will be developed, implementing memristive nanoscale devices as intelligent bio-interfaces, allowing reliable, continuous and real-time monitoring of inflammatory markers. This scheme will be accomplished by the fabrication of a memristor-based sensing platform conjugated with a sensing membrane and an accordingly designed binding assay. Validation of the sensing platform for continuous monitoring will be followed by the integration on flexible substrates for in vivo measurements and integration with readout circuitry enabling the sensing data readout and the wireless transmission to a tabl
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 'software framework for runtime-Adaptive and secure deep Learning On Heterogeneous Architectures' (ALOHA), addressing dissemination and exploitation.

assistant: **Impact**

Deep Learning (DL) algorithms are an extremely promising instrument in artificial intelligence, achieving very high performance in numerous recognition, identification, and classification tasks. To foster their pervasive adoption in a vast scope of new applications and markets, a step forward is needed towards the implementation of the on-line classification task (called inference) on low-power embedded systems, enabling a shift to the edge computing paradigm. Nevertheless, when DL is moved at the edge, severe performance requirements must coexist with tight constraints in terms of power/energy consumption, posing the need for parallel and energy-efficient heterogeneous computing platforms. Unfortunately, programming for this kind of architectures requires advanced skills and significant effort, also considering that DL algorithms are designed to improve precision, without considering the limitations of the device that will execute the inference. Thus, the deployment of DL algorithms on heterogeneous architectures is often unaffordable for SMEs and midcaps without adequate support from software development tools. The main goal of ALOHA is to facilitate implementation of DL on heterogeneous low-energy computing platforms. To this aim, the project will develop a software development tool flow, automating:• algorithm design and analysis;• porting of the inference tasks to heterogeneous embedded architectures, with optimized mapping and scheduling;• implementation of middleware and primitives controlling the target platform, to optimize power and energy savings.During the development of the ALOHA tool flow, several main features will be addressed, such as architecture-awareness (the features of the embedded architecture will be considered starting from the algorithm design)
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 'Directed evolution and semi-rational engineering of plant cell wall-degrading enzymes' (DegradePlant).

assistant: **Innovation**

This proposal focuses on the development of new techniques and strategies for the directed evolution of enzymes useful for industrial (white) biotechnology, including the development of new genetic methodologies to improve the potential of variant libraries, as well as new screening tools to broaden the range of targets for directed evolution. Specifically, the proposed project will apply these new methodologies to plant cell-wall degrading enzymes, namely cellulases and hemicellulases, which are crucial biocatalysts for the production of second-generation lignocellulose-derived biofuels. The enzymes targeted in this proposal are phylogenetically-related, share the same fold, catalyze the same chemical transformation on a large number of structurally related substrates and thus provide good starting points to switch substrate specificities by directed evolution. In order to achieve these challenging objectives, the proposed project will combine new technical advances: on the one hand methodologies to construct gene libraries and stability compensation strategies, and on the other hand new screening approaches of unprecedented throughput based on compartmentalized screening in microdroplets that are processed in microfluidic devices.
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 'RADiation facility Network for the EXploration of effects for indusTry and research' demonstrating excellence, impact and implementation quality for a Horizon 2020 call.

assistant: **Abstract**

New applications in the industrial sectors of space, automotive, IoT, nuclear dismantling and civil applications, medical and accelerators among others require innovative radiation testing methodologies. As well, for coping with the industrial demand and market timelines, streamlined and coordinated testing becomes highly necessary. Although punctual exceptions exist, Europe does not count with a coordinated network of cost-effective testing facilities helping these purposes. Such a network could enormously help fast innovators such as SMEs who in many cases find difficult to access the required facilities and related test expertise. As well, it will offer a competitive advantage to large Corporations. Novel testing methodologies will also pave the way for generating new standards since the existing ones are mainly restricted to classical space applications and radiation-hardened components.  Pan-European and National Research Infrastructures can play a key role for boosting European Industry by taking the first steps in the creation of a sustainable, coordinated and streamlined irradiation testing facilities network. It will also respond to the need of establishing a radiation hardness evaluation based on risk assessment and mitigation rather than on complete risk avoidance.  This project aims at increasing and optimizing the access of system developers to irradiation facilities in which representative conditions of their final application are reproduced, and that can serve as a satisfactory validation for the end-users.  Such optimization will be based on a network of irradiation facilities with a common entry-point, in which users can define, prepare, carry out and analyze their irradiation campaigns. A key point of such improvement would be that of advancing in the
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 executive summary for the EU project 'Evolution of Low-latitude climates and Monsoon Onset' (ELMO) targeting Horizon 2020.

assistant: **Abstract**

Reconstructing past climate provides a powerful means to investigate how human-induced warming may be manifested in global climate. Over the last 65 million years, Earth experienced periods of extreme warmth with elevated greenhouse gas concentrations similar to projections of future climate. Of particular importance is understanding how low-latitude climate may respond to this warming due to its significance on both a local and global scale. At the local scale, low-latitude climate exerts a significant influence on the socio-economies of Earth’s most densely populated regions. Whilst at the global scale, low-latitude derived heat and moisture gets distributed poleward via a dynamic interplay of oceanic-atmospheric interactions. Thus, it is critical to fully understand a) how the low-latitudes will respond to this warming and b) the respective feedbacks on global climate. Yet characterisation of low-latitude climate during periods of warmer-than-modern climates is poorly constrained due to lack of data and limitations with the proxy methods applied to reconstruct climate variables (e.g. sea surface temperature (SST)). The past decade has seen the development of a new temperature proxy, clumped isotope thermometry, that does not suffer from the same limitations as other methods. ELMO will generate the first clumped isotope-based low-latitude records of SST and hydroclimate across the Cenozoic, including warm intervals that serve as analogues for future climate, from fossil carbonate shells (foraminifera). The novel analytical approach combining low (clumped isotopes)- and high-resolution (in-situ trace element analysis) methods will yield temperature reconstructions on a range of timescales relevant for assessing the different aspects of low-latitude and global climate e