Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
DEVELOPMENT OF HEALTHY HOST-MICROBIAL MUTUALISM IN EARLY LIFE (HHMM-Neonates)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Immunity, Infection and Immunotherapy
Panel description: The immune system, related disorders and their mechanisms, biology of infectious agents and infection, biological basis of prevention and treatment of infectious diseases, innovative immunological tools and approaches, including therapies
Countries involved: Switzerland
Call: ERC Advanced Grant (ERC-2016-ADG, 2016)
Start date: 2017-09-01
End date: 2023-08-31
Duration (months): 72.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Background Humans 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. Concept There 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. Approach Interdependence 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. Significance The 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 adaptation on the dynamics of microbial colonisation and the potential blooms and extinctions for the incoming microbiota: the project will define the different mechanisms involved.

Keywords: commensal microbiota,early life,neonate,host microbial mutualism,metabolic and immunopathologic disease models
Learning the shape of synaptic plasticity rules for neuronal architectures and function through machine learning. (SynapSeek)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Neuroscience and Disorders of the Nervous System
Panel description: Nervous system development, homeostasis and ageing, nervous system function and dysfunction, systems neuroscience and modelling, biological basis of cognitive processes and of behaviour, neurological and mental disorders
Countries involved: Austria,United Kingdom
Call: ERC Consolidator Grant (ERC-2018-COG, 2018)
Start date: 2019-06-01
End date: 2024-05-31
Duration (months): 60.0
Total project cost (EUR): 1798605.0
EU funding (EUR): 1768919.41
Participants: 2
Project status: SIGNED

How do we learn to dance, play an instrument, or a game as complex as chess or go? How do we make a memory? The common answer to these questions is “through synaptic plasticity”, through changing the synaptic connectivity of neural circuits so that representative brain activity can be reliably triggered. Such connectivity changes are governed by rules, i.e., synaptic mechanisms which monitor the activity of their environment and stereotypically strengthen or weaken synapses accordingly. The shape and mode of operation of these rules is still largely unknown: For the more than hundred different connection types in cortical circuits, only a handful of rules has been described at all. Similarly, testing observed rules in simulations of cortical function has only seen limited success. Our slow progress is due to the extraordinary difficulty of measuring and observing synapses without interference. Here, we propose a new approach. By utilizing the growing power of machine learning methods we can deduce synaptic plasticity rules directly. Newly developed search algorithms and sheer computational power allow us to integrate published data and infer synaptic rules in silico. We aim to (1) develop a new mathematical expression of synaptic plasticity rules, experimentally appropriate and flexible enough to be implemented in a Machine Learning framework, dubbed SYNAPSEEK. Next (2), we will apply SYNAPSEEK to deduce the rules for building various neural structures with increasing complexity. Finally (3), we will incorporate additional constraints to SYNAPSEEK to develop synaptic rules that shape network function as much as its structure. Our work will establish, for the first time, canonical sets of synaptic plasticity rules, based on the circuit structure they must produce, and the function they are meant to support. SYNAPSEEK will have immediate and wide ranging applications, from a basic understanding of cortical development to better protocols for Deep Brain Stimulation.

Keywords: machine learning,artificial intelligence,synaptic plasticity
ACC – An efficient harmless Plant Growth Regulator for fruit/vegetables RIPENING (Safer ACC)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Action type: SME instrument
Countries involved: Spain
Call: Boosting the potential of small businesses in the areas of climate action, environment, resource efficiency and raw materials (H2020-SMEINST-2-2016-2017, 2017)
Start date: 2018-03-01
End date: 2020-10-31
Duration (months): 32.0
Total project cost (EUR): 2154983.75
EU funding (EUR): 1508488.63
Participants: 1
Project status: CLOSED

Ethylene is a natural vegetal hormone that plays a key role in the ripening process of vegetables and fruits, since is the precursor of the ripening response that induces and regulates all the physiological changes during maturation. Due to the well-known importance of fruit’s flavour and colour for consumers’ market acceptance, most of growers usually must use different artificial techniques to accelerate or promote such ripening, which basically are all based on ethylene. Being a gas substance, ethylene can be easily applied in a chamber, but cannot be dosed in the field, thus the direct application in crops must be carried out using a liquid ethylene-releasing compound. The most widely used one is ethephon (2-hloroethylphosphonic acid, 70.000 tonnes yearly produced worldwide, accounting for a turnover of €M400 for the active ingredient), a synthetic chemical substance that in aqueous solutions is absorbed inside the plant, where it slowly releases ethylene. Unfortunately, Ethephon is a potentially harmful substance, already legally regulated in most developed countries (in all Europe and US, for instance). Both human and environment health demand innovative, efficient, harmless options for artificial ripening, but end-users (growers) simply do not have any available healthier alternative. Just Global identified this scenario 5 years ago, so started intensive research on new sustainable, environmental-friendly and safer molecule. As a result, we developed and optimized the synthesis path of 1-Aminocyclopropane-1-carboxylic acid (ACC), a plant growth regulator alternative to Ethephon. ACC is an ethylene-releaser bioinspired by the self-produced ethylene synthesis cycle in plants. In order to disrupt the market we need to optimize the synthesis process to decrease ACC selling price, to make it more competitive in front of the cheaper Ethephon. In addition, field trials series must be carried out and submit the registration application of ACC in EUROPE.

Keywords: plant growth regulators,ethylene releaser,ethephon replacement,environmental friendly product,non toxic substance
Finite Memory and Dynamic Decision Problems (Finite Memory)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Economic Sciences
Countries involved: Türkiye,United States
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2022-06-01
End date: 2025-05-31
Duration (months): 36.0
Total project cost (EUR): 237943.68
EU funding (EUR): 237943.68
Participants: 2
Project status: SIGNED

Memory limitations lie at the core of how agents store past information and make decisions. For example, consider a buyer choosing between two alternative brands of a good. In thinking about a brand, she may recall her past experiences, product reviews, or expert’s ratings, which induce a belief about the brand’s quality. In this process, the buyer may divide the quality scale into finitely many categories such as high, medium, and low. Then, she may switch from one brand to another only if her belief about a brand’s quality moves from one category to another. Although memory limitations in the form of finite memory naturally arise in many facets of economic life, formal economic models that incorporate the finite memory restriction are rather limited. The aim of this project is to understand the implications of finite memory for dynamic decision problems in both choice theoretical and strategic economic contexts. These implications are significant to reach out a wide range of objectives such as obtaining better predictions of consumer’s choices, unravelling the observed equilibrium behaviour, and regulating markets as to maximize social welfare. In addition, the results to be obtained can provide new explanations for observed economic phenomena such as limited attention and price stickiness. The outgoing phase of this GF project is divided into two parts. This first part of the project aims at addressing a fundamental problem to expedite the use of finite memory model in economic applications. In the second part, I aim to examine how strategic pricing aspects of a dynamic duopoly (oligopoly) model. The goal in here is to incorporate memory limitations in the form of finite memory into a fundamental economic problem, and identify its effects.This GF project will be carried out in Princeton University under the supervision of Prof. Faruk Gul. I will then return to Bilkent University to improve my results for 12 months under the supervision of Prof. Semih Koray.

Keywords: learning with finite memory,random choice,limited attention,strategic pricing,multi armed bandits
Click chemistry Options for Live Immuno Brain Imaging (COLIBRI)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Belgium
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-04-23
End date: 2021-04-22
Duration (months): 24.0
Total project cost (EUR): 166320.0
EU funding (EUR): 166320.0
Participants: 1
Project status: CLOSED

As the world’s population is living longer, age-related neurodegenerative diseases (ND) such as Alzheimer’s and Parkinson’s are becoming a larger global issue. To date, no cure exists, and the European Union considers the understanding and the diagnosis of ND as key research areas. In this context, the overall aim of the fellowship is the development of a versatile method for immuno based brain PET, as a general translational molecular research method that can also be applied for early diagnosis of ND and follow up of the efficacy of novel ND therapies. This will be realized through a pretargeting approach using in vivo click chemistry in brain. More specifically, I will investigate the usefulness of 18F-TCO (trans-cyclooctene derivatives) for pretargeted PET imaging of α-synuclein for Parkinson’s disease. The project will be divided into 4 objectives: (1) Design and synthesis of fluorine-18 labelled TCO derivatives with optimal brain uptake and clearance (“18F-brainTCO”), (2) Evaluation of in vivo kinetics of a polar peripheral blocking TCO derivative, (3) Tetrazine derivatization of an antibody (TzAb) targeting α-synuclein, investigation of in vitro and in vivo binding to α-synuclein, and in vitro and in vivo availability for click reaction, (4) In vitro (autoradiography) and in vivo (microPET/MR) imaging of the TzAb binding to α-synuclein using 18F-brainTCO. The success of COLIBRI will rest on its interdisciplinary since various scientific fields will be covered: organic synthesis, flow chemistry, antibody derivatization, radiochemistry, in vitro/ex vivo tests, in vivo tests in animal models and PET imaging. The project also includes work packages dedicated to the project management (personal career development plan, progress monitoring, budget, ethics and risk management), training (techniques, courses, supervision of students), and dissemination and communication (publications, reports, lab meetings, conferences, popularization events, Internet presence, ...).

Keywords: pet imaging,synuclein,parkinson s disease,organic synthesis,trans cyclooctene derivatives,flow chemistry,click chemistry,radiotracer,radiolabelling,antibody derivatization
High Cycle Fatigue Cracking of Meso- and Micromechanical Testpieces of Aluminide Intermetallics, with in situ Nanoscale Strain Mapping (FracTAlS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Switzerland
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-09-01
End date: 2022-08-31
Duration (months): 24.0
Total project cost (EUR): 191149.44
EU funding (EUR): 191149.44
Participants: 1
Project status: CLOSED

The aim of FracTAlS is to increase the understanding of the deformation mechanisms leading to and mediating cracking in high cycle fatigue loading of lightweight, structural aluminide intermetallics, in order to better direct microstructural and alloy development. Such materials are highly desirable for many rotating and airborne engineering applications but often suffer from prohibitive brittleness, particularly in fatigue. The project applies a combination of nanoscale strain mapping techniques recently developed by the host institution, and by Dr. Edwards, on novel in-situ meso- and micro-mechanical fatigue testing setups, to study deformation behaviour upon fatigue loading. Currently, the European hub plays a central role in the research and development of advanced gamma titanium aluminide alloys, such as for improved processability, and the large-scale production of γ-TiAl components. However, no significant improvements have been made to the fatigue properties of the lightweight γ-TiAl alloys in the past few decades, effectively limiting their widespread application in higher volume industries where they could result in considerable increases in fuel efficiency. Similarly, Mg aluminides, such as the γ-Mg17Al12 phase, possess outstanding strength to weight properties; given sufficient improvements to their toughness and fatigue performance, they would be excellent candidates for structural components in future, more ecologically friendly, aero-propulsion technologies where the operational temperatures are lower than gas turbine engines (e.g. electric and hybrid-electric). This project is closely aligned with EU policy on climate action and sustainable development as it targets reduced emissions through reduced hydrocarbon fuel consumption; its success will serve to increase the European confidence and knowledge-base in these material systems and, through further interaction with European industry, the extent of their use.

Keywords: high cycle fatigue failure,aluminide intermetallics,digital image correlation strain mapping
Green cement of the future: CemShale + CemTower (CemShale CemTower)

Framework: Horizon 2020 — Societal Challenges
Action type: SME instrument
Countries involved: Denmark
Call: H2020-EIC Accelerator pilot –SME Instrument - Green Deal (H2020-EIC-SMEInst-2018-2020-4, 2020)
Start date: 2020-10-01
End date: 2023-03-31
Duration (months): 30.0
Total project cost (EUR): 2168142.36
EU funding (EUR): 1517699.0
Participants: 1
Project status: SIGNED

Cement is the most consumed resource after water. Currently more than 4 billion tons of cement is produced every year. Cement production currently contributes 8% of global CO2 emissions. Supplementary cementitious materials (SCMs) are used to supplement cement to reduce carbon footprint of it. Today, the main SCM is fly ash, by-product of coal driven power plants. As these power plants are phased out, fly ash availability is becoming scarce. Cement industry players are already eagerly looking for alternatives. CemGreen has developed CemShale, a process that calcines shale in granules instead of powder and delivers a high performing clay mineral based SCM. Shale is abundant and often lying unused in many cement plants. In addition, CemGreen developed a game-changing equipment for optimised heat treatment of shale granule material, vertically integrating three separate equipment in conventional cement production: the preheater, kiln and cooler, allowing for heat treatment within narrow limits and significantly reducing operational costs. Cemshale offers high cement substitution rates, while CemTower Capex is a fraction of cement production Capex. Cemshale will provide cement producers SCM supply chain flexibility, significant cost savings and possibility to meet CO2 emissions lowering targets. Full implementation of our solution has the potential to lower worldwide CO2 emissions by 4.81%. CemShale has global potential to become the state-of-the-art SCM and CemTower the state-of-the art product equipment thereof. CemGreen has filed patent applications on CemShale and CemTower. The project will place CemShale in the forefront of new SCMs, having an extremely high global potential of €63 Bn and creating ~650+ new jobs already within 5 years of commercialisation.

Keywords: cement,supplementary cementitious material,clay minerals,shale,cement production equipment,co2 emission reduction,green cement
Breast CAncer STratification: understanding the determinants of risk and prognosis of molecular subtypes (B-CAST)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Understanding health, wellbeing and disease
Action type: Research and Innovation actions
Countries involved: Spain,Germany,Spain,Australia,Sweden,Belgium,United States,Netherlands,United Kingdom,United Kingdom,Canada
Call: Understanding health, ageing and disease: determinants, risk factors and pathways (H2020-PHC-2014-two-stage, 2014)
Start date: 2015-09-01
End date: 2021-02-28
Duration (months): 66.0
Total project cost (EUR): 6120856.25
EU funding (EUR): 5983356.25
Participants: 13
Project status: CLOSED

Breast tumours are heterogeneous, and result from the complex interplay of multiple lifestyle/environmental and genetic risk factors. Through the EU-funded COGS project, we have identified a large number of germline variants that influence the risk of breast cancer. In combination, these variants can identify women at wide ranges of genetic risk, even in the absence of family history of breast cancer. Given that breast cancer is not one disease, it is now essential to better understand how risk factors act together to influence the development of pathologic-molecular subtypes of breast cancer. The aim of B-CAST is to identify women at moderate to high risk of breast cancer, the subtype of cancer that is most likely to develop and the prognosis of that particular subtype. This will be accomplished through large-scale pathologic-molecular analyses of over 20,000 breast tumours, and the integration of these data with unique resources from existing consortia, including germline, lifestyle/environmental, mammographic breast density, pathologic and clinical data. This information will inform the development of risk prediction and prognostication models that will be validated in longitudinal cohorts and clinical studies, and incorporated into online tools. We will also disseminate this knowledge to relevant stakeholders, and evaluate how to translate it into risk-stratified public health and clinical strategies. The current challenge for optimised prevention, early detection, and treatment decisions for breast cancer is understanding the genetic and lifestyle determinants of risk and prognosis of molecular subtypes. B-CAST will add to this understanding and will have immediate application with benefits to women by providing validated risk and prognostication tools. This will empower women and doctors with knowledge to tailor strategies for prevention and treatment. Ultimately, this work should result in reductions in the occurrence, morbidity and mortality of this disease.

Keywords: breast cancer,risk stratification,prognostication,molecular subtypes,lifestyle,breast density,germline susceptibility variants,tumour sequencing
EEN Innovation Management Services Berlin-Brandenburg (InnoManage BB 1516)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Germany,Germany,Germany
Call: Enhancing the innovation management capacity of SMEs (H2020-Adhoc-2014-20, 2014)
Start date: 2015-01-01
End date: 2016-12-31
Duration (months): 24.0
Total project cost (EUR): 279600.0
EU funding (EUR): 279600.0
Participants: 3
Project status: CLOSED

Berlin Partner für Wirtschaft und Technologie GmbH (BP) and ZAB ZukunftsAgentur Brandenburg (ZAB), the two economic and technology development agencies of Berlin and Brandenburg, both partners in the Berlin-Brandenburg Enterprise Europe Network consortium, are going to offer innovation management consultancy to SMEs with high potential for innovation, internationalization and growth. This newly developed service will allow the agencies to broaden their service portfolio to SMEs und to support existing programmes for research and innovation. While the latter usually concentrate on technologies and other outputs, InnoManage BB 2015-2016 will focus an internal management processes and capacities in the SME in order for them to successfully innovate. Target groups of InnoManage BB 2015-2016 are a) companies which have successfully applied for funding under the SME Instrument of H2020, and b) other SMEs in Berlin and Brandenburg which show the potential for innovation, internationalization and growth. As both BP and ZAB have been responsible for realizing the innovation strategies of their respective federal states since more than ten years, both agencies are fully familiar with the scope and challenges fading innovation-orientated companies. Within the frame of this project, BP and ZAB intend to carry out 71 service packages in total, BP will take over 40 service packages, ZAB 31 service packages.

Keywords: innovation,management,h2020,sme instrument,sme coaching,innovation processes,management enhancement,innovation consultancy