Data-Gouv-ML/pcri-actions-marie-curie-participations-et-projets-laureats huggingface dataset:
Projet RAI (Horizon Europe, appel à projets 2021)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Social Sciences and Humanities
Statut du projet : SIGNED

Since the fall of the USSR, the Russian automotive industry has undergone enormous changes. The latter is inextricably linked to Western industrial groups. The present study is designed to examine the transformation of the Russian automotive industry since 1991, specifically taking into account the context of international relations. This project will investigate: the policy of foreign investors in the Russian market, the factors influencing its attractiveness for FDI and the impact of international economic sanctions on the automotive industry in Russia. The action is interdisciplinary by drawing on the economic history, economic geography, economics and the international political economy. It has the potential to enhance the knowledge of the interactions between the economic system, the political situation, social dynamics and cultural values, since it focuses on the automotive industry of the country over a 30-year period. The methodology combines two methods of data gathering ? the examination of written and graphic sources (public and private archives, public investigations, reports and press) and interviewing. The modern methods of data analysis and communication such as creating a MySQL database and data parsing through specialized software are still rare in the historical field. The potential impact of the generated knowledge will allow to better understand the formation, state and structure of the automotive industry in the post-Soviet Russia, and the role of different actors: the state, the Russian and foreign car manufacturers, and the investors in the "hierarchy of relations". Today, the Russian automotive industry is inextricably linked to European industrial groups. The indirect results include the process development, the engagement with the professional community and the activities with the aim to stimulate the competitiveness of the European industry in Russia by focusing on the investment interests of the relevant European end-users.

Mots clés : economic history, russian automotive industry, economic geography, post soviet russia, car manufacturers, technology transfer, international relations, investments, digital data analysis

Participants :
- Université Charles de Prague (Rép. Tchèque) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 150438.72 €
Projet IR4FTD (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - Global Fellowships
Panel : Life Sciences
Statut du projet : CLOSED

The central aim of the project is to apply multimodal spectroscopy combined with machine learning to identify a fingerprint for Frontal Temporal Dementia (FTD) and Alzheimer’s disease (AD) in saliva and plasma. FTD is the second most common dementia and usually affects individuals younger than 60 years old. FTD is difficult to diagnose, since there is no single exam that determines the disease, but instead many costly or painful exams that together link the disease. Some of the symptoms of the disease may be confounding with others such as AD. While the usual search for biomarkers focuses on individual patterns, the present proposal is to use a holistic approach. Vibrational spectroscopy provides a snapshot of the entire chemical finger print in a label-free way. In this project, samples from FTD, AD, and healthy subjects of >45 years old, will be analysed using Raman, mid and near infrared spectroscopy @Monash University in Australia, and complemented with Mass Spectrometry on the same samples @ICGEB in Italy. Advanced machine learning tools provide a powerful approach for data analysis unravelling hidden trends, correlations and also identify the main contributions that characterize the type of sample. The spectra recorded using the extended wavelength range encompassing the mid-infrared and near-infrared spectral regions will be processed with state-of-the-art machine learning tools to identify the molecular phenotype and establish markers in patients with TDP and AD. These findings will pave the way to the development of a new screening tool that would decrease the costs associated with the current diagnosis of FTD and in general for neurodegenerative disorders.

Mots clés : ftir, nir, raman, frontal temporal dementia, biomarkers

Participants :
- International Centre for Genetic Engineering and Biotechnology (Italie) — Coordinator, beneficiary, Recherche, subvention : 287152.32 €
- Université Monash (Australie) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- AREA Science Park (Italie) — Partner, associated partner, Recherche, subvention : 0.0 €
Projet PELFE (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Chemistry
Statut du projet : SIGNED

Beyound traditional III-V laser diodes, solution-processable solid-state lasing (SPSSL) has been in spotlight due to promising versatility and simplified fabrication for integration into various platforms. Among the classes of optical gain media, organic materials, colloidal quantum dots (CQDs), and perovskites have been extensively explored. While organic materials have shown promise, challenges remain in addressing triplet and polaron losses. CQDs, on the other hand, have demonstrated significant progress in suppressing undesirable loss mechanisms. Perovskites, a rising material, present distinct advantages including ease of formation through room-temperature processes and remarkable optical properties (low threshold of ASE and continuous wave lasing). However, two primary challenges face perovskite implementation. Firstly, there is a notable gap in fundamental studies, specifically in understanding the correlation between auger recombination and optical properties. Secondly, the soft-ionic nature of perovskites poses a challenge for surface shell modification, necessitating the development of suitable treatment methods. The research aims to achieve electrically pumped amplified spontaneous emission through a comprehensive study of perovskites and the introduction of a novel modification strategy. The project encompasses three objectives: understanding the correlation between compositions and ASE thresholds, maximizing the optical properties of perovskite nanocrystals (PNCs) through surface etching and facet reconstruction, and implementing PNCs into LEDs with a focus on modulating Joule heating and introducing distributed bragg reflectors. Overall, this research endeavors achieve world’s first electrically pumped ASE using perovskite, offering a promising avenue towards efficient, cost-effective, and widely applicable laser diode technology.

Mots clés : perovskite, perovskite nanocrystals, facet reconstruction, perovskite leds, electrically pumped ase, laser

Participants :
- Université de Linköping (Suède) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 206887.68 €
Projet SEAFIRE (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Environment and Geosciences
Statut du projet : CLOSED

The ocean has stored at least 89% of the excess heat due to human-induced greenhouse gas emissions, making climate change irreversible. Ocean warming trends over the past 50 years have not been homogenous, and some regions known as Marine Hotspots have experienced warming at a rate faster than 90% of the rest of the oceans. Superimposed on these long-term trends, devastating Marine Heat Waves (MHWs) are defined as episodes of anomalous warming in the ocean that can last from a few days to months. These extreme events have drawn scientific and public attention recently due to their dramatic consequences on marine ecosystems and their associated strong socio-economic impacts. Understanding how marine ecosystems respond to climate change, and in particular to MHWs, has been recognized as a major societal challenge, and there is an evident need for a wide range of tools such as management and conservation plans to cope with the disruptive MHWs in order to prevent species depletion and ensure seafood provisioning. Within this context, SEAFIRE aims at (i) providing relevant information about the impact of MHWs by characterising them, (ii) improving our understanding of the marine ecosystem’s responses to these extreme events, (iii) proposing mitigation actions and testing their potential effectiveness on the Western Mediterranean Sea. Achieving these goals requires a multidisciplinary approach coupling physics with the ecosystem’s functioning and vulnerability. The project combines the expertise acquired by the fellow in physical processes related to MHWs with the expertise provided by the supervisor in marine ecosystem functioning and modelling. Specifically, the project will merge cutting-edge technologies from different disciplines such as high-performing physical and biogeochemical models, in-situ observations, fishing data, ecosystem modelling and a new "Digital Twin Ocean" platform.

Mots clés : marine heat waves climate change physical oceanography marine ecosystems management mitigation actions mediterranean sea digital twin ocean ocean models marine ecosystem models

Participants :
- Mercator Océan (France) — Partner, associated partner, Recherche, subvention : 0.0 €
- Lobelia earth sl (Espagne) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Conseil supérieur de la recherche scientifique (Espagne) — Coordinator, beneficiary, Recherche, subvention : 206641.2 €
Projet OTOM (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

Due to rapid global development of offshore wind, challenges of ensuring high efficiency in operations and maintenance (O&M) for offshore wind turbines become prominent in reducing the levelized cost of energy. Trimaran vessels, known for their high-performance characteristics including exceptional speed, seakeeping and spacious deck areas, give advantages in performing the O&M activities effectively. Current research on the hydrodynamic performance of the trimarans primarily focuses on conventional applications without considering their practical utility related to offshore wind O&M activities. When the trimarans approaching the wind turbine substructures, unique hydrodynamic characteristics of the vessels needs to be understood to enhance the efficiency and effectiveness of the maintenance operations. To date, for offshore wind O&M applications, there is no existing detailed hydrodynamic study concerning the optimization of the outrigger layout for the trimarans. Thus, a computationally efficient hydrodynamic optimization method based on Harmonic Polynomial Cell (HPC) method will be developed in this project. The developed method will then be validated against Computational Fluid Dynamic (CFD) simulations. By utilizing Nondominated Sorting Genetic Algorithm II (NSGA-II) as a multi-objective optimization algorithm in conjunction with Back Propagation (BP) Neural Network, an outrigger layout optimization method will be tailored for the trimaran O&M vessels under different operational conditions. During the fellowship, I will employ interdisciplinary approaches for my studies, such as the applications of the HPC method in calculating multi-body hydrodynamic problems, CFD simulations in validating the developed solver and the BP neural network method in improving the multi-objective optimization efficiency. This will effectively improve my research capability and facilitate the developed optimization solver for the applications in offshore wind O&M activities.

Mots clés : trimaran offshore wind operations and maintenance hydrodynamic performance multi objective optimization

Participants :
- Université de Stavanger (Norvège) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 283438.8 €
- Université de Cambridge (Royaume-Uni) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Bureau veritas (France) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
Projet SMARTACULAR (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Environment and Geosciences
Statut du projet : SIGNED

SMARTACULAR seeks to reimagine the future of the built environment by intertwining local vernacular insights with academic excellence. The project's heart lies in its ambition to shape built environments that harmoniously blend cutting-edge sustainability practices with local contexts' rich essence and soul. To this end, it poses an overarching research question: How can we design built environments that align with the pressing global sustainability demands while remaining contextually relevant? This is further broken down into three sub-questions that delve into the vernacular domain's contributions, translating these insights into practical guidelines, and understanding the challenges and opportunities of integrating these insights with current technological advancements. In pursuit of these objectives, SMARTACULAR employs a robust, interdisciplinary methodology, encompassing a blend of theoretical studies, grassroots-level participatory research, and qualitative analyses. The research journey is methodically structured into four key work packages that range from establishing a foundational understanding of global best practices to the hands-on piloting of devised tools in real-world scenarios. At its core, SMARTACULAR is dedicated to crafting a qualitative matrix tool – a blueprint that empowers developers to tailor designs to both global sustainability imperatives and local sensibilities. This approach promises structures that are 'smart' in function and deeply resonant with the essence of their locales. Underpinning the project is an inclusive dialogue platform, bridging diverse disciplines and championing collaborative efforts to ensure holistic and impactful results. The resulting tool is envisioned as an open-source tool, poised to spark further innovation, exploration, and locally tailored applications, igniting a paradigm shift in how we conceptualise and manifest our built environments.

Mots clés : participatory built environment planning

Participants :
- Université d'Amsterdam (Pays-Bas) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 291145.2 €
- Practa syn. erg. (Grèce) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
Projet CLINCH-FCS (Horizon Europe, appel à projets 2024)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Physics
Statut du projet : SIGNED

Fluorescence correlation spectroscopy (FCS) is an innovative technique for the detection and characterization of nanoscale species within their natural environment. It has successfully measured protein-protein and protein-lipid interaction dynamics, determined spectroscopic parameters of fluorophores and monitored binding constants among diffusing species. However, current FCS systems, predominantly based on confocal microscopes, have large footprint and inflexible focal observation volumes, limiting their applicability outside controlled laboratory settings. There is a strong need for compact, flexible FCS solutions. My approach addresses this need by exploiting the interaction between diffusing nanoparticles (NPs) and complex light fields within a hollow-core optical waveguide (HCW), nanoprinted directly onto an optical fiber facet. This advancement not only paves the way for a portable FCS tool suitable for clinical environments but also has the potential to enhance existing FCS technology. Our device offers two major advantages: (i) prolonged observation times due to the confinement of NP diffusion within the waveguide core, and (ii) rapid detection that surpasses image-based techniques by recording only emitted powers. By integrating extended observation periods with high acquisition rates, my FCS system facilitates the study of fast dynamic processes and interactions at the single NP level, addressing fundamental questions in life sciences, material science and light-matter interactions in general. Furthermore, my opto-fluidic platform supports both fluorescence and scattered light detection, enabling the investigation of NPs that cannot be fluorescently labeled. Notably, it allows for simultaneous measurement of fluorescence and scattered light, unlocking new pathways for exploring NP processes, such as fluorescence quenching.

Mots clés : fluorescence correlation spectroscopy hollow core optical waveguide characterization of nanoscale species diffusing nanoparticles optical fibers opto fluidic technology 3d nanoprinting

Participants :
- Leibniz-Gemeinschaft (Allemagne) — Coordinator, beneficiary, Recherche, subvention : 202125.12 €
Projet ASTRONET (Horizon Europe, appel à projets 2023)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Life Sciences
Statut du projet : SIGNED

Information about the external world is encoded in the brain through the dynamical activity of neuronal ensembles, so-called neural population codes. Neurons, however, are not the only cell types making up the nervous tissue. Astrocytes interact with neurons at the synaptic and network level. Astrocytic intracellular calcium dynamics integrates and modulates surrounding neural activity over a wide range of spatial and temporal scales. Recent studies showed that these calcium transients encode information about external stimuli, and that this information is complementary to that encoded in neural activity, suggesting that astrocytes may play an active role in computations carried out in neural circuits. Here, I will investigate the role of astrocytes in shaping neural population, focusing on representations of space in the mouse the hippocampus during navigation. By using biophysically plausible network modeling and information theory I will characterize how the dynamics and information coding properties of networks of neurons are enhanced when they interact with astrocytes. The model will be constrained and guided by analysis of simultaneous dual-imaging recordings of neurons and astrocytes. Then I will consider new data, provided by the secondment lab, of longitudinal neural recordings during which astrocytic calcium dynamics was chemogenetically manipulated during the exploration of familiar and new environments over days. I will determine the causal role of astrocytes in neural information processing by using information theory and machine learning to analyze neural information coding when astrocytes are or are not perturbed. Then, I will use the data to construct biophysically plausible models of astrocytes contribute to the evolution of neural codes across days. These major advances in modelling and understanding how astrocytes support an complement neural networks will contribute to understanding how glial cells contribute to healthy brain function.

Mots clés : neural coding population coding neural networks astrocytes information theory neural representations

Participants :
- Universitätsklinikum Hamburg-Eppendorf (Allemagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 173847.36 €
- Italian Institute of Technology (Italie) — Partner, associated partner, Recherche, subvention : 0.0 €
Projet SOUND (Horizon Europe, appel à projets 2022)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Chemistry
Statut du projet : SIGNED

Neurodegeneration (ND) is a pathological process characterized by a progressive loss of structure and activity in neurons of specific brain areas, causing cognitive, sensory, and motor impairment until compromising even basic actions such as breathing and heart functioning. The condition affects over 100 million people globally, and it is estimated that ND incidence will constantly increase in the next decades, because of the increasing ageing of the European population and environmental factors. Nevertheless, the current treatments are not satisfactory, either because they become ineffective over time, e.g., pharmacological treatment, or because they are highly invasive, i.e. for deep brain stimulation or optogenetic approaches. In this landscape, nanotechnology is emerging as an innovative alternative for treating ND. Nanomaterials offer unique features that confer them the chance to activate degenerated neurons, therefore rescuing the network activity lost in ND. Here, we propose the preparation of a wireless, non-invasive, deep tissue penetrating nanotechnological platform for neuronal rescue upon ultrasound stimulation. We aim to develop a hybrid nanotool based on visible light-sensitive photovoltaic polymeric nanoparticles (that proved successful in rescuing several degenerated retina models in vivo) that will be conjugated to an ultrasound sensitizer, consisting of sonoluminescent molecules capable of transducing an ultrasound signal into a fluorescent emission that can excite the polymeric nanoparticles, ultimately eliciting a neuronal response. The construct will then be directed towards a specific neural population through a targeting moiety, consisting of an M13 bacteriophage nanoscaffold naturally possessing high targeting efficiency. The final nanotool will be tested in different 2D and 3D in vitro models to assess its biocompatibility, brain blood barrier permeability and neural rescuing efficiency.

Mots clés : nanotechnology, nanoparticles, nanomaterials, ultrasound, photovoltaic materials, bio nano interactions, neurodegeneration

Participants :
- Italian Institute of Technology (Italie) — Coordinator, beneficiary, Recherche, subvention : 174928.08 €