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 'Value chain innovations in emerging Health Tech, Smart City and Greentech industries addressing the challenges of smart urban environment' (2014-2020).

assistant: **Innovation**

URBAN TECH will support the acceleration of competitive success of European SMEs through market launch of new or significantly improved products and services with higher value (with higher quality, increased access, eco-innovative, resource efficient and internationally scalable). In long term perspective (strategic objective), URBAN TECH will innovate and increase the competitiveness of European Health Tech, Smart City and Greentech industries globally.Value proposition: •Offering innovative solutions to cross-sectoral and cross-border challenges, either public or private.•Bringing together different stakeholders of the industry value-chain to cooperate and innovate together.•Supporting SMEs and start-ups in scaling their solutions and products globally.Advanced partnership of cluster and innovation support organisations from 9 countries, entrepreneurial and innovation support measures providers to SMEs and start-ups, mediators between the societal stakeholders needs and solution providers. Partners’ network bringing together 3 500 start-ups and SMEs and wider outreach to 20 000.The core outputs of the project:• 300 clustered challenges from 9 countries and beyond• Online Open Space, based on Virtual Library of Challenges structured around Health Tech, Greentech and Smart City industries• 320 collaborative innovation ideas for solutions by SMEs selected for industry hackathons through Open Call• 16 international industry hackathons, resulting in 80 cross-border and cross-sectoral innovation projects selected for incubation and 1st stage of support (in total, max up to 10 350 €)• ~30 projects selected for 2nd stage support (20-30 k €) for large scale testing and demonstration to deliver minimal viable products (MPVs)• 20 projects selected for Going Global stage support
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 'Non-targeted effects of ionising radiation' (NOTE) targeting Sixth Framework.

assistant: **Abstract**

The universality of the target theory of radiation-induced effects is challenged by observations on non-targeted effects such as bystander effects, genomic instability and adaptive response. Essential features of non-targeted effects are that they do not require direct nuclear exposure by radiation and they are particularly significant at low doses. This new evidence suggests a need for a new paradigm in radiation biology. The new paradigm should cover both the classical (targeted) and the non-targeted effects. New aspects include the role of cellular communication and tissue-level responses. A better understanding of non-targeted effects may have important consequences for health risk assessment and, consequently, on radiation protection. Non-targeted effects may contribute to the estimation of cancer risk from occupational, medical and environmental exposures. In particular, they may have implications for the applicability of the Linear-No-Threshold (LNT) model in extrapolating radiation risk data into the low-dose region. This also means that the adequacy of the concept of dose to estimate risk is challenged by these findings. Moreover, these effects may provide new mechanistic explanations for the development of non-cancer diseases. Further research is required to determine if these effects, typically measured in cell cultures, are applicable in tissue level, whole animals, and ultimately in humans. The general objectives of the NOTE project are: to investigate the mechanisms underlying non-targeted effects, to investigate if non-targeted effects modulate cancer risk at low doses, to investigate if ionising radiation can induce non-cancer diseases, to investigate factors modifying non-targeted responses, to assess the relevance of non-targeted effects for radiation
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 'Active Flow Control for Tilt Rotor' (AFC4TR), addressing dissemination and exploitation.

assistant: **Impact**

The AFC4TR project will investigate the use of Active Flow Control using Zero Net Mass Flux devices for the Next Generation Tilt Rotor using unsteady CFD. ZNMF devices can be used to control flow separation and vortical flows in order to increase the aerodynamic efficiency, resulting in reduced fuel burn and CO2 and NOx emissions. A multi objective optimization study will be performed to optimize the locations and parameters of the ZNMF devices that will bring the desired aerodynamic benefits. The neasure of success is the report discussing the optimization studies and the results obtained.The results of the AFC4TR project might also influence ongoing and future aircraft development projects, and will contribute to maintaining Europe’s industrial leadership in the aviation sector.


**Keywords:** Flow Control, Computational Fluid Dynamics, Tilt Rotor
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 'WISER: Well-being in a Sustainable Economy Revisited' (WISER), addressing dissemination and exploitation.

assistant: **Impact**

The focus on economic growth as an instrument to lead societies towards sustainable high well-being is increasingly problematic. While Gross Domestic Product (GDP) growth is slowing, its environmental and social costs are increasing, such that continued reliance on GDP growth entails a trade-off between the well-being of current versus future generations. In addition, research shows that higher GDP generally hardly improves people’s subjective well-being. To better support policy options, our project aims to develop a new economic development framework that provides evidence-based and theoretically-sound policy insights on how to raise well-being of present generations (leaving no one behind) without sacrificing future well-being. We will identify how GDP growth and productivity growth can be promoted and invested in well-being, focusing on relationships that reconcile economic growth and sustainable high well-being while leaving no person and place behind. We will analyze how these relationships work at different subgroup levels, by explicitly considering gender perspectives and disadvantaged groups. The project’s multi-disciplinary approach integrates knowledge from different disciplines, combining quantitative and qualitative techniques to generate solid evidence. Our case studies will permit deriving important lessons from different regions of the world, Africa in particular. Moreover, the relevance of our policy recommendations will be supported by insights from and interaction with stakeholders. Within the triadic goals of well-being, sustainability, and productivity, the project looks for possible win-win-win pathways, producing a new economic development framework that provides insight into how societies can use greater productivity to aim at greater human well-
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 'DEVELOPMENT OF HEALTHY HOST-MICROBIAL MUTUALISM IN EARLY LIFE' in the context of a Horizon 2020 call.

assistant: **Objectives**

BackgroundHumans and other animals harbour enormous microbial consortia, especially in the lower intestine. My group has now shown that effects of the microbiota on host are far earlier and more pervasive than previously appreciated, starting even before birth from exposure to defined maternal microbial metabolites.ConceptThere is a critical window for development of immunity and metabolism in early life. This shapes infectious resistance, lymphocyte repertoire development and the likelihood of later autoimmune or inflammatory disease. We will determine the molecular mechanisms of how the maternal microbiota prepares the newborn for the critical fetal/suckling/early-independent-nutrition transitions. The core hypothesis is that generally pervasive effects of maternal microbial influences, so-far investigated only for innate immunity and metabolism of germ-free offspring, can be defined in terms of a clear portfolio of maternal microbial molecular signatures and epigenetic marks as the newborn develops with its own microbiota.  ApproachInterdependence of microbial ⇄ host interactions during gestation and lactation will be dissected using reversible colonisation systems under axenic and precisely controlled gnotobiotic conditions. The flow and identity of maternal microbial metabolites driving development and shaping incoming colonisation shall be determined from high-resolution metabolomics and host strain combinations that reveal in vivo signalling and epigenetic marks. SignificanceThe project will reveal mechanisms of the earliest phases of mammalian adaptation to a microbiota, the epigenetic effects of maternal microbial metabolites and the resulting potential protection from metabolic disease or immunopathology. Conversely, there are profound effects of early life ad
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 'Signs, polynomials, and reaction networks' (POSALG), addressing dissemination and exploitation.

assistant: **Impact**

Many real-world problems are reduced to the study of polynomial equations in the non-negative orthant, and this is in particular the case for models of the abundance of the species in a biochemical reaction network. The polynomials associated with realistic models are huge, with many parameters and variables, making qualitative analyses, without fixing parameter values, challenging. This results in a mismatch between the needs in biology and the available mathematical tools. The driving aim of this proposal is to narrow the gap by developing novel mathematical theory within applied algebra to ultimately  advance in the systematic analysis of biochemical models. Motivated by specific applications in the field of reaction networks, we consider parametrized systems of polynomial equations, and address questions regarding the number of positive solutions, connected components of semi-algebraic sets, and signs of vectors. Specifically, we (1) pursue a generalization of the Descartes' rule of signs to hypersurfaces, to bound the number of negative and of positive connected components of the complement of a hypersurface in the positive orthant, in terms of the signs of the coefficients of the hypersurface; (2) follow a new strategy to prove the Global Attractor Conjecture; and, (3) develop new results to count the number of positive solutions or find parametrizations.The novelty and strength of this proposal resides in the interplay between the advance in the analysis of reaction networks and the development of theory in real algebraic geometry. The research problems are studied in full generality for arbitrary parametrized polynomial systems, but each question has a well-defined purpose, directed to the ultimate goal of having a scanning tool to automatically analyze the mode
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 'Role of human papillomavirus infection and other co-factors in the aetiology of head and neck cancer in India and Europe' (HPV-AHEAD) under Seventh Framework.

assistant: **Objectives**

Human papillomavirus (HPV) is responsible for approximately 25% of head and neck cancer (HNC) worldwide and appears to be associated with a better response to treatment and improved prognosis. Evidence suggests that HPV-induced HNC has steadily increased in the USA and some European countries in the last decades. However, whether this is a worldwide phenomenon and specific risk factors are associated with it remains to be proven. In addition, little is known on the natural history and risk factors of oral HPV infection. HPV-AHEAD network aims to address these and other unanswered questions on HNC etiology and epidemiology with a focus on the role of HPV. We will assemble and analyze a large collection of plasma/sera and HNC tissues from 42 centres in 16 European countries as well as HNC tissues from 7 Indian centres together with epidemiological and clinical data. HPV status in human specimens will be evaluated by different assays in central laboratories. Epidemiological studies will be conducted to establish the overall proportion and type distribution of HPV-positive HNC at different anatomical sites in European and Indian regions as well as the time trend of the proportion of HPV-positive HNC in recent decades. Using the follow-up information on HNC patients, we will further investigate whether HPV positivity confers a better prognosis and survival. We will also conduct a study in HPV-vaccinated and non-vaccinated women in order to determine risk factors and natural history of oral HPV infections. In addition, we will search for new surrogate markers for oral HPV infection to facilitate novel screening strategies. Finally, the HPV-AHEAD consortium aims to transfer technology to Indian centres as well as to develop several strategies for the training of European and I
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 'ECO-FRIENDLY CERAMIC MEMBRANE BIOREACTOR (MBR) BASED ON RECYCLED AGRICULTURAL AND INDUSTRIAL WASTES FOR WASTE WATER REUSE' (MBR), addressing dissemination and exploitation.

assistant: **Impact**

The main objectives of the REMEB project are the implementation and validation of a low-cost ceramic membrane bioreactor (MBR) in a Waste Water Treatment Plant (WWTP), the study of the impact and replication of the technology for the reuse of the water in regions with water scarcity and the industrial sector, and finally, the definition of a proper business plan to start the commercialization of the technology, once the project will be finished. The low cost recycled ceramic membranes of the project are based on residues obtained in agricultural and industrial processes (sub-products), such as olive oil solid wastes, marble working wastes and chamotte from fired scrap, in addition to the typical raw materials used in the ceramic tile industry. The project aims to achieve several specific objectives: valorization of wastes from different agricultural or industrial processes, manufacturing of an innovative product using recycled materials, validation of a new MBR with a lower initial and running costs by using low cost ceramic membranes and comparison between REMEB MBR and the MBR in operation in the WWTP selected for the validation. Replication of both, manufacturing and validation tasks, is assured by repeating the processes in the facilities of some participants. Manufacturing membrane replicability will be performed in Turkey and Italy. The replication study of the MBR implementation in the urban and industrial wastewater sector will be performed in Colombia and nearby countries, Cyprus and nearby countries and Europe. Furthermore, evaluation of the environmental impact of product and process will be carried out by the method of LCA. Finally, a marketing and dissemination plan of the technology will be done by the entire consortium. It is expected that this technology
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 Sixth Framework proposal on 'Voltage-Sensitive Plasmon-Resonant Nanoparticles, Novel Nanotransducers of Neuronal Activity'.

assistant: **Concept**

The project focuses on developing voltage-sensitive nano-transducers (VSNs) suitable for long-term monitoring of neuronal membrane-potential. The proposed sensing technology seeks to empower the development of treatments against neurodegenerative pathologies, such as Alzheimer's, currently hampered by the photo-bleaching and photodynamic damage associated with conventional voltage-sensitive dyes (VSD). VSNs will exploit the novel concept of electrically tuneable plasmon resonant nano-particles/nano-rods (NP /NRs), nano-sensors that experience plasmon resonance shifts induced by the electric fields sub serving neuronal activation. To this end, a family of capping mono-layers endowed with conformational sensitivity to neuronal electric fields will be engineered by construction of chain-ball sensing arms including charged groups and flexible tethering alkyl chains. Other types of NP/NR-neuron interaction will also be studied as enhancers of voltage-sensitivity, including NP/NR-enabled monitoring of membrane nano-displacements (e.g. cellular swelling), variations of membrane refractive index and local heat production accompanying electrical activity. Transient changes in intensity, wavelength and phase of scattered light from neuron-bound NP/NRs will be studied using dark-field and phase sensitive microscopy combined with ultrahigh dynamic range active pixel sensors. NP/NRs of various sizes, shapes and compositions will be synthesised with a range of tether lengths and charged units. VSNs will be studied when bound to supported lipid bilayers, cultured neurons in isolation and cortical slices by simultaneous electrical control of dual layer and neuronal membrane potential and optical imaging/spectroscopy. To support the development and exploitation of the VSN technology, th
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 'Using causal discovery algorithms to boost subseasonal to seasonal forecast skill of Mediterranean rainfall'.

assistant: **Innovation**

The Mediterranean region (MED) is a hotspot of anthropogenic climate change and impacts are probably already felt today; recent heatwaves and persistent droughts have led to crop failures, wild fires and water shortages, causing large economic losses. Climate models robustly project further warming and drying of the region, putting it at risk of desertification. The particular vulnerability of this water-limited region to climatic changes has created an urgent need for reliable forecasts of rainfall on subseasonal to seasonal (S2S) timescales, i.e. 2 weeks up to a season ahead. This S2S time-range is particularly crucial, as the prediction lead time is long enough to implement adaptation measures, and short enough to be of immediate relevance for decision makers. However, predictions on lead-times beyond approximately 10 days fall into the so-called “weather-climate prediction gap”, with operational forecast models only providing marginal skill. The reasons for this are a range of fundamental challenges, including a limited causal understanding of the underlying sources of predictability. The proposed research effort aims to improve S2S forecasts of MED rainfall by taking an innovative, interdisciplinary approach that combines novel causal discovery algorithms from complex system science with operational forecast models. This will overcome current limitations of conventional statistical methods to identify relevant sources of predictability and to evaluate modelled teleconnection processes. The outcomes of this project will (i) identify key S2S drivers of MED rainfall, (ii) systematically evaluate them in forecast models, (iii) derive process-based bias corrections to (iv) boost forecast skill. My strong background in both causal inference techniques and atmospheric dyn