Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Cuisine(s) of the Ancient Maya across the Lowlands: Reconstructing Plant Diets through Molecular and Imaging Approaches (COMAL)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Italy,Germany,Czechia
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-09-01
End date: 2025-08-31
Duration (months): 24.0
Total project cost (EUR): 188590.08
EU funding (EUR): 188590.08
Participants: 5
Project status: CLOSED

COMAL aims at using an analytical approach never applied before on archaeological materials from Central America to bring to light the plants that were consumed and the different ways they were processed by the ancient Maya that inhabited the tropical forests of the Maya Lowlands in what is now Mexico and Guatemala. The investigated periods are the Classic and Terminal Classic periods (AD 250-900). Accordingly, two types of archaeological remains will be considered: amorphous carbonized objects (ACO) and (bio)molecules. ACO’s are visible to the naked eye and are usually investigated with different microscopies, while to characterize the (bio)molecules, a range of spectroscopic and spectrometric techniques will be applied at Ca’ Foscari University of Venice to both archaeological residues and proxies derived from raw (unmodified) modern plants and plants processed under laboratory conditions (experimental archeology). Further analyses by means of micro-computed tomography (micro-CT) will be performed during the secondment at the Elettra Synchrotron in Trieste, aiming at revealing the internal structure of ACOs through a non-destructive examination. The applicant, an experienced scholar in both the recovery and identification of macro- and microbotanical remains and starch grains, will enhance her competences by learning cutting-edge techniques seldom employed in the field of archaeology, and in turn bridging the STEM and Humanities, a highly relevant issue at Ca’ Foscari. Likewise, COMAL will increase the knowledge on Maya culinary preferences, including the direct descendants of the ancient Maya living today in Guatemala and Mexico, by bringing information on their dietary heritage and traditions. At a broader level, the project will also shed light on ancient diets. COMAL will expand the applicant’s experience, professional networks, positioning her as a skilled and capable independent scholar.

Keywords: archaeobotany ancient maya reconstructing plant diets advanced physico chemical characterisation of archaeological residues
Efficient Synthetic Cell FDCA Production via an Integrated One-Pot Catalytic Process (SynCell)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Spain
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-09-01
End date: 2027-08-31
Duration (months): 24.0
Total project cost (EUR): 194074.56
EU funding (EUR): 194074.56
Participants: 2
Project status: SIGNED

SynCell aims to develop multicatalytic systems capable of performing multiple synthetic steps in sequence and under controlled conditions within a single process, reducing the need for external intervention and lowering environmental impact. Its primary objective is to emulate nature's ability to regulate macroscopic functions, by creating a "one-pot" method for synthesizing 2,5-furandicarboxylic acid (FDCA) from inexpensive and widely available sugars and polysaccharides. To achieve this, SynCell integrates various design principles into a unified system, utilizing Metal-Organic Frameworks (MOFs) as key components. MOFs provide distinct advantages, including high structural regularity, adjustable pore sizes, and uniform metal distribution. These features allow MOFs to act as multifunctional scaffolds, creating spatially distinct catalytic zones that enable complex, sequential reactions through compartmentalized catalytic sites. Additionally, Ionic Liquids (ILs) or Deep Eutectic Solvents (DES) can be employed as alternative media for effectively dissolving glucose (Glc) and polysaccharides. These solvents not only improve dissolution but also boost catalyst performance, creating a more efficient reaction environment. The combined use of multicatalytic MOFs with ILs or DES will result in a novel, environmentally friendly process for producing FDCA. This process, inspired by biological systems, enables the transformation of cheap, readily available sugars or polysaccharides without the need for intermediate purification or isolation.

Keywords: biorefinery 2,5 furandicarboxylic acid metal organic frameworks
Development of Fjord-Edged Graphene Nanoribbons by Rh-Catalyzed Stitching Polymerization (FGNRs)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Germany
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-04-01
End date: 2027-03-31
Duration (months): 24.0
Total project cost (EUR): 217965.12
EU funding (EUR): 217965.12
Participants: 1
Project status: SIGNED

Graphene nanoribbons (GNRs) are the class of next-generation carbon materials that have emerged as promising candidates in future nanoelectronic devices. Their unique electronic, thermal, and magnetic properties heavily depend on their widths and edge topologies. Thus, the precise design and synthesis of GNRs is highly desirable with control over the structural factors with atomic precision. In this regard, the bottom-up synthesis approach plays a significant effort in constructing a wide variety of well-defined widths and edge structures. Moreover, the planer GNRs (zigzag, armchair, and gulf edges) were extensively explored, whereas curved GNRs (cGNRs) (cove and fjord edges) were scarcely reported. Although cGNRs exhibit novel edge topologies, narrow band gap, and high carrier transport mobility provide further opportunities in nonlinear optics and asymmetric catalysis. Thus, efficient synthetic strategies and precise molecular designs are highly desirable for the synthesis of curved GNRs. To address this gap, we propose the Rh-catalyzed stitching polymerization strategy for the construction of fjord-edged graphene nanoribbons (FGNRs). The proposal will systematically investigate the stitching efficiency through NMR analysis and examine the influence of alkyl chains on the synthesis and solubility of cGNRs. Additionally, the methodology will be extended to the synthesis of heteroarenes containing cGNRs, with a focus on their solubility in organic solvents for further optical and electronic property studies. Furthermore, a comparison will be made with the living chain growth polymerization strategy applied to the same substrate. Overall, this proposal will systematically address the challenges associated with the synthesis, characterization, and structure-property relationship of fjord-edged graphene nanoribbons to pave the way for advancements in the field of nanoelectronics.

Keywords: fjord curved graphene nanoribbons cgnrs,rh catalyzed stitching polymerization,living chain growth polymerization,charge carrier dynamic,and thz spectroscopy
Open Universal Science (OPUS)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Reforming and enhancing the European R&I System
Theme: Reforming and enhancing the European R&I System
Destination: Reforming and enhancing the European R&I System
Action type: Coordination and support actions
Countries involved: Spain,France,Ireland,Belgium,Croatia,Lithuania,Italy,Cyprus,United Kingdom,Portugal,Romania
Call: Support to changes in the assessment of research and researchers to reward the practice of open science (HORIZON-WIDERA-2021-ERA-01, 2021)
Start date: 2022-09-01
End date: 2025-08-31
Duration (months): 36.0
Total project cost (EUR): 1726898.0
EU funding (EUR): 1726898.0
Participants: 18
Project status: SIGNED

The Open and Universal Science (OPUS) project will develop coordination and support measures to reform the assessment of research and researchers at Research Performing Organisations (RPOs) and Research Funding Organisations (RFOs) towards a system that incentivises and rewards researchers to practise Open Science. We understand the term ‘Open Science’ to refer to practices providing open access to research outputs, early and open sharing of research, participation in open peer-review, measures to ensure reproducibility of results, involving all stakeholders in cocreation. We henceforth in this proposal employ this interpretation of Open Science with a specific focus on reforming the research(er) assessment system to incentivise and reward researchers to take up these practices. OPUS employs a three-tiered approach to ensure representation and consensus building of key stakeholder groups in the Open Science ecosystem: (1) our large project consortium consists of researcher organisations, RPOs, RFOs, industry organisations, and experts in project management, public relations, and Open Science (2) a series of stakeholder engagement sessions will be held with the broader community to gather input and validate key project deliverables (3) an Advisory Board of key representatives will ensure expert oversight and links to the community. • Objective 1: Conduct a comprehensive state-of-the-art on existing literature and initiatives for Open Science • Objective 2: Develop a comprehensive set of interventions to implement Open Science at RPOs and RFOs • Objective 3: Develop realistic indicators and metrics to monitor and drive Open Science at RPOs and RFOs • Objective 4: Test the interventions and indicators and metrics via action plans in pilots at RPOs and RFOs • Objective 5: Utilise a stakeholder-driven feed-back loop to develop, monitor, refine, and validate actions • Objective 6: Synthesise outcomes into policy briefs and a revised OS-CAM2 for research(er) assessment

Keywords: open science,open research,quadruple stakeholders,mutual learning,rpo,rfo,pilots,interventions,metrics and indicators,institutional and cultural change,audit and baseline,action plans
INTEGRATING A PALLIATIVE CARE APPROACH FOR PATIENTS WITH HEART FAILURE (RAPHAEL)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Tackling diseases and reducing disease burden
Action type: Research and Innovation actions
Countries involved: Netherlands,Italy,Poland,Sweden,Spain,United Kingdom,Lithuania,Belgium,Switzerland,Germany
Call: Novel approaches for palliative and end-of-life care for non-cancer patients (HORIZON-HLTH-2023-DISEASE-03, 2023)
Start date: 2024-01-01
End date: 2028-12-31
Duration (months): 60.0
Total project cost (EUR): 6231127.5
EU funding (EUR): 6207365.0
Participants: 16
Project status: SIGNED

While the need for integrating palliative care (PC) services into heart failure (HF) care has been well recognised, as of yet this integration lacks behind, especially when compared to cancer care. Currently, only 5-7% of patients with HF utilise PC services, due to a focus on optimising therapy and an unpredictable disease trajectory with exacerbations which hampers prognosis. As a result, many symptoms and concerns that are not directly related to HF are not recognised and undertreated and patients are often referred to PC services only at the very end of their lives. The RAPHAEL consortium sets out to take the next big step in integrating PC into HF care by integrating the RAPHAEL palliative care approach in existing HF care pathways. This flexible and patient centred approach starts with the identification of multidimensional symptoms and concerns, prioritise needs with patient and informal carer and formulate a proactive care plan. The symptoms and concerns will be monitored by the patient at home using the PAL@HEART application. The app can be used to evaluate interventions, support communication and earl identify new or increasing needs. As a result, the care needs of each individual patient with HF are addressed faster and better, improving their quality of life and autonomy. Moreover, this will lead to a reduction in emergency hospitalisations, unburdening the healthcare system and reducing costs. The RAPHAEL project sets out to adapt the RAPHAEL approach to HF care within a European context and test and validate its (cost-)effectiveness via a feasibility and large-scale evaluation study performed in 7 EU countries, the UK and Switzerland. It brings together experts in palliative care, cardiology, and primary care as well as professional organisations and patient representatives. Together the RAPHAEL consortium is uniquely situated to demonstrate the (cost-)effectiveness of the RAPAHEL approach and launch its implementation in Europe and beyond.

Keywords: heart failure,palliative care,symptom burden,social and spiritual concerns,integrated care
S/P-Coordinated Transition Metal Single Sites-doped Carbon Matrices as Electrocatalysts for Nitrogen Reduction (GREEN)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Spain
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-09-01
End date: 2025-08-31
Duration (months): 24.0
Total project cost (EUR): 165312.96
EU funding (EUR): 165312.96
Participants: 1
Project status: SIGNED

The electrochemical nitrogen reduction reaction (NRR) provides a sustainable alternative to the Haber-Bosch process for ammonia (NH3) production. Transition metal catalysts have poor NRR performance due to the highly competitive hydrogen evolution reaction and the scaling relation between inert dinitrogen (N2) and other reaction intermediates. Single-atom catalysts (SACs) have been proven to be effective in overcoming these limitations owing to the enhanced active sites and the anomalous quantum size effect. Inspired by biological rhizobia nitrogen fixation, this proposal, Green Renewable Energy-derived Electrocatalytic Nitrogen reduction reaction that yields NH3 under mild conditions (GREEN) aims to develop, characterize and mechanistically understand S/P-coordinated transition Metal Single sites-doped (Fe, Mo and FeMo) Carbon Matrices (MSCMs) as electrocatalysts for high activity and selectivity NRR. The specific goals of GREEN are: i) Successfully synthesis of MSCMs electrocatalysts to achieve high performance and selectivity towards NRR; ii) Characterize MSCMs to determine their electronic structure, local atomic environment, charge density and affinity with N2 molecules, etc.; iii) Determine the activity of the MSCMs catalysts and fine-tuning of working conditions and parameters for highly efficient electrocatalytic NRR and the catalytic mechanisms for NRR will be further recognized. The results of this project have the potential to greatly reduce the energy consuming and CO2 emissions due to the ambient operating conditions and using water as the hydrogen source, which aligns with both the European Green Deal’s call for green energy and zero net emissions of greenhouse gases by 2050 and United Nations Sustainable Development Goals. Throughout this project, the applicant will learn new techniques, develop her skills as an independent researcher and mentor, and expand her international collaborations and relationships network.

Keywords: single sites catalysts,electrocatalysis,nitrogen reduction reaction,ammonia synthesis,iron,molybdenum
PROCESSING COMPLEX MATRICES: DESCRIPTION, REACTION-SEPARATION, MODELLING (DREAM)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Pathfinder
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: France,Portugal,Slovenia,Netherlands
Call: EIC Pathfinder Open (HORIZON-EIC-2023-PATHFINDEROPEN-01, 2023)
Start date: 2024-04-01
End date: 2028-03-31
Duration (months): 48.0
Total project cost (EUR): 3421471.25
EU funding (EUR): 3421471.25
Participants: 7
Project status: SIGNED

The DREAM project focuses on the transformation of complex matrices for the chemical industry of the future. It will focus on Kraft black liquor as a case study. It proposes to design new intensified processes coupling reaction and separation in continuous mode to fractionate a complex matrix: deep-eutectic solvent (DES)-assisted extraction of lignin coupled with depolymerisation, CO2-assisted lignin segregation coupled with pyrolysis, and membrane filtration coupled with oxidative depolymerisation. each fraction will then be valorised into products of interest through reactive distillation or catalytic upgrading. These processes will be monitored by original descriptors designed using data from on-line analysis. The modelling of each reaction and separation step will be carried out based on these descriptors, to give modules that will be assembled in a global simulation of the process. The interdisciplinary approach combining biomass chemistry, catalysis and chemical engineering will be enhanced through educational methods to overcome epistemological, cognitive and communication barriers between disciplines. The DREAM project represents a radically new approach for studying complex matrices, combining cutting-edge technical expertise with social and philosophical expertise to address challenges of the interdisciplinary research process. By developing new descriptors, models, and integration strategies, it aims to establish a feedstock-product relationship and design new, more efficient, and greener processes, as well as new interdisciplinary methodologies.

Keywords: process intensification catalytic process kraft blac liquor lignin kinetic modelling and process simulation interdisciplinarity research
Understanding and Postponing Yeast Death to Improve Production (UPsYDe)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Doctoral Networks
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Netherlands,Portugal,United Kingdom,Sweden,Italy,Austria,Slovenia,Estonia,Spain,Germany,France,Denmark,Brazil
Call: MSCA Doctoral Networks 2024 (HORIZON-MSCA-2024-DN-01, 2024)
Start date: 2026-01-01
End date: 2029-12-31
Duration (months): 48.0
Total project cost (EUR): 4055475.24
EU funding (EUR): 4055475.24
Participants: 23
Project status: SIGNED

Yeasts are model organisms for eukaryal cell biology studies but are also used to sustainably produce a large variety of compounds. Although unicellular, death spares no one and yeast can undergo regulated cell death (RCD) in response to a wide variety of intra and extracellular signals. In industrial processes, the occurrence of yeast RCD negatively impacts yields and production rates. How yeast cells die under these conditions is however hardly studied nor understood. UPsYDe aims to decipher how yeast cells die under industrial conditions and engineer RCD pathways to postpone cell death and improve production, while simultaneously training the 13 doctoral candidates needed to tackle this kind of challenges. This requires a synergetic approach combining fundamental cell biology, bioprocess engineering, yeast physiology, and systems and synthetic biology. Four different yeast species, Saccharomyces cerevisiae, Komagataella phaffii, Yarrowia lipolytica and Debaryomyces hansenii, will be studied and engineered in a consortium of 7 beneficiaries and 15 associated partners varying from start-up companies to major biotechnology industries. This consortium offers all the expertise and methodology needed and provides the DCs with a highly diverse, multidisciplinary and intersectorial training plan across Europe. Expected outcomes are novel (rapid) screening techniques to detect cell death phenotypes on site, advanced genome-scale metabolic models, improved yeast strains and more sustainable and profitable yeast bioprocesses. In addition, UPsYDe will deliver the next-generation scientists capable of integrating different knowledge fields to lead the full transition to a sustainable bioeconomy, in academia or industry.

Keywords: yeast,bioprocess engineering,regulated cell death,metabolic modelling,heterogeneity
SWAN: Blitzscaling the early detection of skin cancer (SWAN)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Challenges
Action type: EIC actions
Countries involved: France
Call: Strategic Digital and Health Technologies (HORIZON-EIC-2021-ACCELERATORCHALLENGES-01, 2021)
Start date: 2022-07-01
End date: 2024-12-31
Duration (months): 30.0
Total project cost (EUR): 3920366.25
EU funding (EUR): 2500000.0
Participants: 1
Project status: CLOSED

Swan is a breakthrough solution to the enduring problem of detecting skin cancer early. For the first time, Swan enables *full-body* scanning at *dermoscopic* resolution and in less than *3* minutes to the benefit of *all* stakeholders: patients, physicians, hospitals and payers. The solution captures key data that dermatologists acutely need for early diagnosis and brings breakthrough AI triage assistance to flag concerning lesions. Significant medical time is saved in the process and for patients, the impact is faster access to treatment when needed, fewer unnecessary biopsies and peace of mind. The solution combines hardware and software and is at the crossroads of cutting-edge, patented technologies in real-time 3D human avatar generation, advanced robotic control, image processing and AI classification of lesions. Our ambition is to make best-in-class skin cancer screening accessible to everyone, everywhere and finally help dermatology make a quantum leap forward.

Keywords: deep learning