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 clear, measurable objectives and define the scope for the project 'Temporal Structure of Perception and Neuronal Stimulus Processing' (TeSP) under Horizon 2020.

assistant: **Objectives**

Conscious stimulus perception in humans operates on time scales differing across sensory modalities. At the brain level it remains unknown if the temporal structure of stimuli from different sensory modalities is processed fundamentally differently, or if sensory input from different sensory modalities is sampled similarly. Neuroscientific evidence shows that neuronal oscillatory activity in sensory cortices is crucial for the conscious temporal perception of sensory stimuli by defining discrete perceptual cycles which discontinuously determine temporal perception. However, it remains inconclusive if the neuronal correlates of this discrete sampling mode differ across sensory modalities. The present proposal addresses this question by investigating temporal perception in the visual and tactile domain by means of MEG and ECoG measures of neuronal activity and the analysis of oscillatory and arrhythmic brain activity patterns. The findings provide an understanding of the temporal structure of neuronal stimulus processing, which will be implemented in clinical research. Within the scope of the Global Fellowship, the applicant aims to visit a partner organisation at the New York University, which is internationally renowned for neuronal processing of visual stimuli and the analysis of arrhythmic brain activity. Since the applicant exhibits an expertise on the neuronal processing of tactile stimuli and the analysis of oscillatory brain activity, the expertise of the partner organisation perfectly matches the applicant’s skills. By acquiring these novel capabilities, the applicant will exhibit all skills necessary for a holistic analysis of neuronal information processing, thus significantly increasing his future career chances as an independent researcher. Since the research
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 'Consumer sentiment regarding privacy on user generated content services in the digital economy' (CONSENT).

assistant: **Innovation**

One of the key changes in societal trends and lifestyles witnessed over the past few years has been the move on-line of many consumers and the way they have become increasingly sophisticated in their media consumption habits. Have these recent changes to consumer and commercial practices developed in such a way that consumers are (in)voluntarily signing away their fundamental right to privacy? This project (CONSENT) seeks to examine how consumer behaviour, and commercial practices are changing the role of consent in the processing of personal data. While consumer consent is a fundamental value on which the European market economy is based, the way consumer consent is obtained is questionable in popular user-generative/user-generated (UGC) online services (including sites like MySpace, YouTube and Facebook), whose commercial success depends to a large extent on the disclosure by their users of substantial amounts of personal data. There is an urgent need to study and analyse the changes in consumption behaviour and consumer culture arising from the emergence of UGC online services and how contractual, commercial and technical practices and other factors affect consumer choice and attitudes toward personal privacy in the digital economy. CONSENT’s multidisciplinary team intends to carry out a status quo analysis of commercial practices, legal position and consumer attitudes, identifying criteria for fairness and best practices, and then create a toolkit for policy makers and corporate counsel which will enable them to address problem identified in the analysis. CONSENT will advance the knowledge base that underpins the formulation and implementation of policies and corporate procedures in the area of privacy and consumer protection with a view to informing policy-making 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: Draft an executive summary for the EU project 'Neutrophil - Chlamydia interactions at the crossroad of adaptation and defence' (NCI-CAD) targeting Horizon 2020.

assistant: **Abstract**

Incidences of sexually transmitted diseases (STI) have increased during the past decades with a concomitant rapid spread of antibiotic resistant bacteria. Chlamydia trachomatis is the most frequent cause of bacterial STIs. These infections often remain asymptomatic and are consequently not diagnosed and treated, resulting in the subsequent development of severe chronic pathologies and an enormous economic burden for health systems. The reason for the asymptomatic nature of chlamydial infection is currently unknown.My laboratory made the intriguing observation that exposure of polymorphonuclear neutrophils (PMNs), a major subset of innate immune cells and cause of inflammation and tissue damage, to C. trachomatis causes PMNs to become unresponsive to a broad range of stimuli, including Chlamydia themselves. We identified a chlamydial secreted protease (CPAF) to be the bacterial effector responsible for preventing the activation of the non-stimulated PMNs. Chlamydia not only survive PMN exposure but can also surprisingly exploit the PMN itself as host cell for replication. Unexpectedly, the chlamydial secreted deubiquitinase Cdu1 is required for intracellular adaptation of Chlamydia, indicating that PMNs may posses antibacterial cell-autonomous defence strategies based on the host ubiquitin system. It remains completely unclear how PMNs are converted to host cells for obligate intracellular bacteria. This proposal therefore aims to comprehensively investigate the mechanism of PMN reprogramming from a short-lived major immune effector cells to a host cell for Chlamydia replication and development. PMN paralysis offers an unexpected explanation for the asymptomatic nature of these infections. Furthermore, chlamydial factors involved in PMN reprogramming provide prime target
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 'Scalable Unified Processor Enhancing Revolutionary Computing, Harnessing Integrated Performance for Edge AI, Autonomous Driving, Generative AI, and Decentralized AIoT Applications' (SUPERCHIP) targeting Horizon Europe.

assistant: **Abstract**

The exponential increase in (sensor) data combined with Artificial Intelligence (AI) to support extensive and complex automation requires real-time supercomputing, which today's semiconductor providers struggle to keep up with.We have developed a patented companion chip for AI and digital signal processing (DSP), Tyr, to create a paradigm shift in context-aware processing and transform industries such as Autonomous Driving (AD) and the AI of Things. This award-winning technology has exceptional processing power and high implementation efficiency, while consuming low power and cost.AD, our beachhead market, is a perfect illustration of data availability and processing limitations. There is currently no commercially and technologically viable solution that allows high / full autonomy at Level 4/5. Therefore, we have focused our product development on the global ambition to create L4/5 AD, enabling real-time processing of all data to ensure 100% safety of the vehicle environment.


**Keywords:** Multi-hazards, recommendation engine, 3D digital twins
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 'Medical Image Analysis with Normative Machine Learning' (MIA-NORMAL).

assistant: **Innovation**

As one of the most important aspects of diagnosis, treatment planning, treatment delivery, and follow-up, medical imaging provides an unmatched ability to identify disease with high accuracy. As a result of its success, referrals for imaging examinations have increased significantly. However, medical imaging depends on interpretation by highly specialised clinical experts and is thus rarely available at the front-line-of-care, for patient triage, or for frequent follow-ups. Very often, excluding certain conditions or confirming physiological normality would be essential at many stages of the patient journey, to streamline referrals and relieve pressure on human experts who have limited capacity. Hence, there is a strong need for increased imaging with automated diagnostic support for clinicians, healthcare professionals, and caregivers.Machine learning is expected to be an algorithmic panacea for diagnostic automation. However, despite significant advances such as Deep Learning with notable impact on real-world applications, robust confirmation of normality is still an unsolved problem, which cannot be addressed with established approaches. Like clinical experts, machines should also be able to verify the absence of pathology by contrasting new images with their knowledge about healthy anatomy and expected physiological variability. Thus, the aim of this proposal is to develop normative representation learning as a new machine learning paradigm for medical imaging, providing patient-specific computational tools for robust confirmation of normality, image quality control, health screening, and prevention of disease before onset. We will do this by developing novel Deep Learning approaches that can learn without manual labels from healthy patient data only, applicable to
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 'Commercialization of catalytic enhancers targeting IDO1 for multiple sclerosis'.

assistant: **Objectives**

ENHANCIDO will assess the commercial and technical feasibility of novel immune tolerance-inducing small molecules as superior treatments for multiple sclerosis (MS). MS is a chronic neurodegenerative disease affecting 2.3 million people worldwide. 85% of MS cases belong to the relapsing-remitting subtype (RRMS) characterised by bouts of recurring and debilitating relapses followed by unstoppable loss of neurological functions. Unfortunately, current treatments for RRMS are ineffective, poorly tolerated, and expensive. They cannot prevent disease progression and only provide symptomatic relief. Furthermore, severe adverse effects and inconvenient administration routes contribute to high rates of treatment discontinuation amongst patients (30-80%). To tackle these issues, Prof. Ursula Grohmann has developed a set of novel, orally administered, effective, and safe small molecules that induce immune tolerance to alter the previously inexorable course of the disease. These first-in-class molecules are positive allosteric modulators (PAMs) of the immunoregulatory enzyme IDO1. Prof. Grohmann’s PAMs increase IDO1 activity, reduce disease severity in mouse models of acute MS and show no off-target effects. Within ENHANCIDO, we will assess whether IDO1 PAMs are feasible as breakthrough treatments for RRMS. Firstly, we will validate their technical feasibility by evaluating their efficacy, pharmacokinetics and pharmacodynamics in RRMS mouse models.  Subsequently, commercial feasibility will be determined by verifying IP position and strategy, performing in-depth market and competitor analyses, and finally consolidating these into a business plan to establish the best path to commercialisation. Successful commercialisation of IDO1 PAMs could reduce the profound socioeconomic burden
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 'Transformative, Adaptive, Responsive and enGaging EnvironmenT' under Seventh Framework.

assistant: **Concept**

There is a need to reduce the knowledge worker time-to-competence". The main aim is to develop a new genre of TEL environment that supports rapid competence development within the domains of innovation and project management.<br/>The TARGET environment consists of a learning process supported by the TARGET platform, consisting of a main core of a serious game. Here, the learner is presented with complex situations in the form of game scenarios. Interacting with the game results in experiences that are gradually honed into knowledge.<br/>TARGET integrates five developments: a) Threshold Concepts, resembling knowledge gateways that transform a person's understanding of a knowledge domain b) Knowledge Ecology, defines knowledge as a "living organism" c) Cognitive Load Theory, a learner's attention and working memory is limited, therefore learning processes must be designed to allow effective internalization without overload d) Learning Communities, where members of a community develop their competences by leveraging the experience of their peers e) Experience Management, to allow learners to accumulate lessons learned through real and theoretical situations.<br/>The TARGET aims will be realized through the following specific objectives: a) Conceptual Framework, the conceptual blueprint of TARGET b) Knowledge model, how the game scenarios, concept thresholds, and competences are related c) TARGET Learning Process, supported by a pedagogical framework d) TARGET Platform, of which the core is the Virtual Business Environment e) Pedagogical Agents, available to assume unfilled roles within a game scenario f) TARGET Communities, four sustainable communities revolving around the TARGET environment g) HRM Integration, integration of TARGET within an organization h) Evaluation Fra
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 'Artificial-Intelligence-Augmented Cooling System for Small Data Centres' (ECO-Qube), addressing dissemination and exploitation.

assistant: **Impact**

Artificial-Intelligence-Augmented Cooling System for Small Data Centres “ECO-Qube”; is a holistic management system which aims to enhance energy efficiency and cooling performance by orchestrating both hardware and software components in edge computing applications.ECO-Qube is a data driven approach which utilizes valuable unused data from active data centre components. Created big data is being used by an artificial intelligence augmented system which detects cooling and energy requirements instantaneously. ECO-Qube differentiates from conventional cooling systems which keep operating temperatures within a strict interval and do not evaluate measurable cooling performance. Unmeasured cooling performance leads underperformed airflow, thermal disequilibrium, and high energy consumption. On the contrary, ECO-Qube offers a zonal heat management system which benefits from Computational Fluid Dynamics (CFD) simulations to adapt cooling system for the best airflow and cooling performance with minimum energy consumption. Moreover, ECO-Qube realizes smart workload orchestration to keep the CPUs at their most energy efficient state and maintain the thermal equilibrium to reduce overheating risk.Sustainability is another priority for ECO-Qube’s smart energy management system (EMS), which is designed to track the energy demand and operate the energy supply in cooperation with building/district’s EMS. This synergy maximizes the energy supplied from renewable energy sources and minimizes the energy supplied from sources with big carbon footprint.ECO-Qube solution will be assessed in three different pilots from different climatic conditions to validate energy efficiency under different external variables.


**Keywords:** Smart cooling system, smart scheduling for CPU workloads, zonal
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 'Cellular modulation by the mitochondrial unfolded protein response' under Horizon 2020.

assistant: **Concept**

Mitochondrial function is central for cellular metabolism and energy balance. However, many diseases, including cancer and neurodegenerative diseases, affect mitochondrial function and proteostasis. Upon mitochondrial protein misfolding, mitochondria activate the mitochondrial unfolded protein response (UPRmt) to restore proteostasis, a poorly characterized pathway in mammalian cells. Notably, the effects of the UPRmt on its direct environment – mitochondria – and on cytosolic homeostasis remain unknown. Strikingly, non-cell autonomous signaling of metabolism and folding state has been described in recent years, particularly in worms. However, the possible role of UPRmt in such processes is undescribed.Using newly available tools to acutely induce the UPRmt in mammalian cells, combined with cutting-edge quantitative mass spectrometry, microscopy, next generation sequencing, and gene editing approaches, we propose to address these important open questions by studying the influence UPRmt exerts on the environments of i) mitochondria (including to study the composition and regulation of RNA granules), ii) cytosol (adjustments of translation, metabolism, and proliferation) and iii) neighboring cells (modification by non-cell autonomous signaling). Additionally, we aim to develop an iPSC-based UPRmt model.On cellular and organismal level, there ought to be mechanisms to signal changes in metabolism and proteostasis to increase robustness in neighboring environments. Studying these effects will be crucial for a better understanding of human disease and carries severe implications: i) the possibility of therapeutic treatment by modulating neighboring compartments or cells and ii) the possibility that diseases inducing the UPRmt could have unknown paracrine and endocrine effect
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 'Targeting stromal cells to modify tumor mechanical microenvironment and optimize drug delivery' demonstrating excellence, impact and implementation quality for a Horizon 2020 call.

assistant: **Abstract**

Current chemotherapeutic agents are potent enough to kill cancer cells. Nonetheless, failure of standard chemotherapies for many cancer types (e.g., pancreatic and breast cancers) is primarily attributed to these agents never reaching cancer cells in amounts sufficient for complete cure. In solid tumours, blood vessels are often compressed, drastically reducing perfusion, thus resulting in insufficient drug delivery. Vessel compression is a consequence of mechanical stresses accumulated within the tumour during progression. Alleviation of these stresses has the potential to reopen compressed vessels and improve tumour perfusion. Here, the applicant proposes to test the hypothesis that judicious depletion of stromal cells, namely the cancer-associated fibroblasts (CAFs), has the potential to alleviate stress levels in highly desmoplastic and hypoperfused tumours and, thus, enhance chemotherapy. To explore this hypothesis, a combination of cutting-edge computational and experimental techniques will be employed. Specifically, a structure-based biomechanical model will be developed to analyse the contribution of CAFs to the generation and transmission of forces within a tumour. Subsequently, in vivo studies will be performed in mice to validate model predictions and identify the degree of CAF depletion that optimizes the efficacy of treatment. Successful completion of the proposed research will reveal the role of CAFs on the biomechanical behaviour of tumours and contribute to developing a therapeutic strategy for treatment of hypovascular tumours. Therefore, the proposal negotiates a subject of considerable importance for European society and beyond. Furthermore, the proposed research and training will establish a bidirectional transfer of skills where the applicant’s expe