Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Neuroanatomical substrates of social deficit in a mouse model of 22q11 deletion syndrome (SOCIALBRAINCIRCUITS)

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: Life Sciences
Countries involved: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-09-01
End date: 2020-08-31
Duration (months): 24.0
Total project cost (EUR): 168277.2
EU funding (EUR): 168277.2
Participants: 1
Project status: CLOSED

Also known as velocardiofacial or DiGeorge syndrome, 22q11.2 deletion syndrome (22q11.2DS) is currently considered as the highest genetic-based vulnerability factor for neuropsychiatric disorders, such as autism spectrum disorder, attention deficit hyperactivity disorder, anxiety disorders and schizophrenia. Noteworthy, this microdeletion leads to a wide range of peripheral and central symptoms, including severe deficits in face memory and social cognition, which remain incurable to date. Thus, the present proposal aims at delineating the neuroanatomical substrates of social behavior in order to identify new therapeutic avenues for social deficit in velocardiofacial syndrome and its associated neuropsychiatric disorders. To this purpose, we will use a very solid murine model of 22q11.2DS, the LgDel+/- mouse, which similarly displays deficits in social interaction, to investigate the respective interventions of the oxytocin (OT) and the dopamine (DA) system in the implementation of normal versus altered social behavior, at critical time periods (first post-natal days and adolescence). Specifically, preliminary findings from the host laboratory suggest that early alterations of the OT system, by preventing proper GABA switch in the medial prefrontal cortex (mPFC), leads to abnormal mPFC regulation of DA function in the nucleus accumbens and/or amygdala, and subsequent social deficits at adulthood in LgDel+/- mice. We will address this hypothesis by using a multidisciplinary strategy encompassing genetics, molecular biology, biochemistry, tracing methods, cell culture, as well as viral and behavioral approaches. The originality of the present project, which resides in our will to identify the developmental trajectories of social behavior, together with a reciprocal transfer of theoretical, practical and transferrable skills between the host laboratory and me, will allow me to develop independent research projects and a competitive research career.

Keywords: 22q11 deletion syndrome,social behavior,prefrontal cortex,nucleus accumbens,amygdala,oxytocin,dopamine,gaba,glutamate
Microrobotic Gamete/Zygote IntraFallopian Transfer (Micro-GIFT)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Prevention, Diagnosis and Treatment of Human Diseases
Panel description: Medical technologies and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions, pharmacology, preventative medicine, epidemiology and public health, digital medicine
Countries involved: Germany
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2020-04-01
End date: 2025-03-31
Duration (months): 60.0
Total project cost (EUR): 1499967.0
EU funding (EUR): 1499967.0
Participants: 1
Project status: SIGNED

Infertility is a worldwide problem affecting ~11% of the reproductive-age population. Severe cases are currently treated by in vitro fertilization (IVF) and intracytoplasmic injection techniques (ICSI) with high fertilization rates (~95%). However, embryo transfer is still the critical stage with only 32% of the cases resulting in clinical pregnancies. Moreover, the implantation rates per embryo remain very low (~17%) and often the procedure needs to be repeated several times with no success implying a high economic and social cost. Among the different methods used to overcome this issue, gamete or zygote ntrafallopian transfer (GIFT or ZIFT) seems more promising offering appropriate physiological environment for zygote/embryo development at an optimal synchronization between embryonic and endometrial preparation. However, these methods are invasive and involve surgical procedures and anaesthesia to introduce macroscopic imaging and manipulation tools into the female body, increasing the risk of injury and ectopic pregnancies. The goal of Micro-GIFT is to seek for novel approaches to non-invasively transport and release high-quality gametes/zygotes in the fallopian tube in vivo (mice model). For that multifunctional untethered microrobots (~100 µm size) will be developed making use of smart materials and advanced microtechnologies. However, there are major challenges that need to be overcome to bring this technology close to the clinic, such as the in vivo imaging and control of such microrobots, and their removal after use. The project will also provide deeper insights on the contribution of the fallopian tube on the natural embryo development and implantation, being crucial to create more natural procedures with high success rates. The PI has contributed significantly to the field of sperm-based microbots for assisted fertilization and targeted drug delivery as well as developed a variety of novel microbiosensors for molecular and cellular analysis.

Keywords: medical microrobots,remote gametes,zygotes transport,gametes,zygote selection,magnetic microrobots,in vivo imaging,assisted fertilization,microfabrication,lab on a chip,artificial oviduct,ultrasensitive single cell sensors
Co-constructing interactive short and mid-tier food chains to value agrobiodiversity in healthy plant-based food (DIVINFOOD)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable agriculture and forestry
Action type: Research and Innovation actions
Countries involved: Italy,Italy,Hungary,Hungary,Sweden,Switzerland,Hungary,Sweden,France,France,France,France,France,France,Denmark,Portugal,Portugal,Portugal,Denmark
Call: Biodiversity in action: across farmland and the value chain (H2020-SFS-2020-2, 2020)
Start date: 2022-03-01
End date: 2027-02-28
Duration (months): 60.0
Total project cost (EUR): 5999858.25
EU funding (EUR): 5999858.25
Participants: 28
Project status: SIGNED

The overall objective of this multi-actor, participatory project is to facilitate the use and increase the value of Neglected and Underutilised Crops (NUCs) in food chains to foster healthier diets and more sustainable food systems. To achieve this, DIVINFOOD will focus on interactive short and mid-tier value chains that can meet the growing consumer demand for: 1) healthy plant-based food; 2) products with a local/regional identity, and 3) diverse services and benefits received from agriculture and food. DIVINFOOD will study minor cereals and legumes in 3 geographical regions that face various climatic hazards and diverse socio-economic challenges to developing agrobiodiversity-rich value chains. DIVINFOOD will: - Co-develop, with consumers, new interactive marketing modes and channels valuing biodiversity use and its services/benefits, with the support of participatory guarantee systems and digital tools - Co-produce new and diversified plant-based healthy and appetising products and recipes from NUCs meeting consumers’ needs, from minimal or mild food processing and formulations better expressing NUCs’ potential - Benchmark diverse agroecological farming systems and techniques that improve NUCs’ performance, inter-specific biodiversity and the provision of citizen-focused agro-socio-ecosystem services - Breed more performant cultivars of cereals and legumes with local adaptation, intra-specific biodiversity, biotic and abiotic stress tolerance, and potentiating nutritious and appetising food - Demonstrate new business models that diversify income and activities for farmers and small-scale processors who are using agrobiodiversity - Co-design pilot multi-actor territorial networks/social cooperatives in charge of managing, propagating and promoting NUCs. Design policy recommendations to promote their replication - Disseminate the results to relevant stakeholders to optimise their exploitation

Keywords: consumer,healthy diets,sustainability,short food chains,organisational innovation,territorial approach,gxexm,digital tools,mimimal processing,interdisciplinarity,socio ecological systems
Prisoners of war between Bourbon nations and United Kingdom during the 18th Century: ways of life and humanity in misfortune (PriWa)

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: Social Sciences and Humanities
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-07-03
End date: 2019-07-02
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Armies of the Ancien Régime reflected not only the society of their time, but also the politics, importance and international weight of their respective nations. Prisoners of war offer a privileged insight into these issues and, more significantly, into the human and humanitarian feelings of all those involved, politicians and civilians as well as the military. This study will provide a ground-breaking comparative approach to prisoners of war from Britain, Spain and France during the long 18th century. Through correspondence written by the prisoners themselves as well as letters to/by the authorities, we will chart feelings and views towards the conflicts from those directly involved, revealing alternative views of war than those imposed by their sovereigns. In what the prisoners conveyed to their families and to the authorities, we can learn much of the conditions of captivity, which varied considerably depending on religion, social status or military rank. Across the century, we find analogous prisoner of war experiences in different societies and historical periods, but after the French Revolution significant differences begin to emerge because of new political considerations which meant qualitative changes to the status of prisoners of war, since they were henceforth political prisoners, no longer Ancien Régime ones. Comparing Britain and Spain with France is essential to perfecting our understanding of how the status and experience of prisoners of war changed between the old order and the new. In brief, this is a study that helps to understand better the changes in the humanitarian measures in war which form the basis of current practice and are at the heart of notions of Human rights.

Keywords: prisoners of war,humanity,capitulation,captives,sustenance
Multi-Scale Fluid Flow in DYNamically FRACtured Porous Reservoir (MSFF-DYN-FRAC-PR)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Industrial Doctorates
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Netherlands,United Kingdom
Call: Marie Skłodowska-Curie Innovative Training Networks (ITN-EID) (H2020-MSCA-ITN-2014, 2014)
Start date: 2015-01-01
End date: 2018-12-31
Duration (months): 48.0
Total project cost (EUR): 255374.28
EU funding (EUR): 255374.28
Participants: 2
Project status: CLOSED

The unconventional recovery processes of oil and gas reservoirs raise significant costs and risks to the surrounding environment (including contamination of ground water, risks to air quality etc.) around the world and threatens to pose greater challenges in the future to meet the rising energy demand. The oil-gas industry is meeting this threat with developing diverse technologies that work by different mechanisms but share a common goal: to reduce risks for the surrounding environment and to increase the recovery factor of reservoirs. The aim of this project would be to develop a new fully coupled framework as an extension of research INTERSECT simulator in which we can model dynamic crack propagation with the injection of high velocity fluid flow as observed in the hydraulic fracturing (“fracking”) of unconventional reservoirs.

Keywords: fracking,meshless,enhanced and unconventional oil recovery,reservoir simulation
A pEdiatRic dosimetRy personalized platfORm based on computational anthropomorphic phantoms (ERROR)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Greece,Greece,France,France,United Kingdom,United Kingdom
Call: Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE) (H2020-MSCA-RISE-2015, 2015)
Start date: 2016-01-01
End date: 2019-12-31
Duration (months): 48.0
Total project cost (EUR): 432000.0
EU funding (EUR): 432000.0
Participants: 6
Project status: CLOSED

The main objective of ERROR is to develop a new software tool, which will offer to the clinician the possibility to assess alternative imaging and therapeutic protocols, in real time, in silico, in order to minimize patient dose, while maintaining image quality of therapeutic effect. This tool will be designed, implemented and evaluated with specific focus on pediatric patients, since this is a rather sensitive target group, where dose considerations are high and no standard protocols and solutions exist. The project will exploit the new generation of computational anthropomorphic phantoms, in combination with well validated Monte Carlo simulations and Machine Learning Tools. In this way, it is envisaged that advanced, yet mature technologies will be integrated, to provide a novel tool, which can lead to a final product. The ERROR project brings together a multidisciplinary consortium of specialists in different areas of medical physics, biomedical engineering, physicians and computer engineers, who will join forces in order to design, implement and clinically assess a novel software tools, which initial focus in the optimization of diagnostic and therapeutic protocols for pediatric exams. Two new SMEs will provide their expertise, as well as investigate the ways to exploit project outcome. A well planned exchange program among academic and industrial partners will facilitate knowledge sharing, maximize collaborative work and finally achievement of project objectives. The consortium, being aware of the scientific and social importance of pediatric clinical applications, has planned a series of dissemination and training activities, aiming at making project knowledge and outcomes available to the scientific community and society.

Keywords: brachytherapy,computational phantoms,dosimetry,gate,monte carlo simulations,pediatric applications,personalized medicine,radionuclide therapy,radiotherapy
Data-Driven Methods for Modelling and Optimizing the Empirical Performance of Deep Neural Networks (BeyondBlackbox)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Germany
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-01-01
End date: 2021-12-31
Duration (months): 60.0
Total project cost (EUR): 1495000.0
EU funding (EUR): 1495000.0
Participants: 1
Project status: CLOSED

Deep neural networks (DNNs) have led to dramatic improvements of the state-of-the-art for many important classification problems, such as object recognition from images or speech recognition from audio data. However, DNNs are also notoriously dependent on the tuning of their hyperparameters. Since their manual tuning is time-consuming and requires expert knowledge, recent years have seen the rise of Bayesian optimization methods for automating this task. While these methods have had substantial successes, their treatment of DNN performance as a black box poses fundamental limitations, allowing manual tuning to be more effective for large and computationally expensive data sets: humans can (1) exploit prior knowledge and extrapolate performance from data subsets, (2) monitor the DNN's internal weight optimization by stochastic gradient descent over time, and (3) reactively change hyperparameters at runtime. We therefore propose to model DNN performance beyond a blackbox level and to use these models to develop for the first time: 1. Next-generation Bayesian optimization methods that exploit data-driven priors to optimize performance orders of magnitude faster than currently possible; 2. Graybox Bayesian optimization methods that have access to -- and exploit -- performance and state information of algorithm runs over time; and 3. Hyperparameter control strategies that learn across different datasets to adapt hyperparameters reactively to the characteristics of any given situation. DNNs play into our project in two ways. First, in all our methods we will use (Bayesian) DNNs to model and exploit the large amounts of performance data we will collect on various datasets. Second, our application goal is to optimize and control DNN hyperparameters far better than human experts and to obtain: 4. Computationally inexpensive auto-tuned deep neural networks, even for large datasets, enabling the widespread use of deep learning by non-experts.

Keywords: bayesian optimization,deep learning,hyperparameter optimization,meta learning,learning across datasets,parameter control,reinforcement learning,performance prediction
Multi-physics mOdelling of high Temperature engIne ValvEs (MOTIVE)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Czechia,Netherlands,United Kingdom,United Kingdom
Call: Multi-physics modelling of elementary physical phenomena applied to an innovative high temperature engine valve (H2020-CS2-CFP06-2017-01, 2017)
Start date: 2018-03-01
End date: 2022-09-30
Duration (months): 55.0
Total project cost (EUR): 1099912.5
EU funding (EUR): 919808.63
Participants: 4
Project status: CLOSED

Aim: Predictive assessment of the functionality, performance and controllability of pneumatic aircraft engine valves through modelling of elementary physical phenomena encountered in the engine environment. Achievement of this project aim will be accomplished via two major technical objectives: 1) successful completion of an experimental testing campaign involving materials characterisation, bespoke friction and aerodynamic testing; 2) Development of a multi-physics model capable of describing the thermal physics, mechanical physics and fluid dynamics which are the three key physical domains involved in a high-temperature engine valve environment. The multi-physics models will be calibrated and validated against the experimental data. The project falls under the CS2 Large Passenger Aircraft IADP Platform 1, and addresses the work package WP1.5.3 "Applied Technologies for Enhanced Aircraft Performance". One of the main objectives is to provide the environment to create, establish, mature and calibrate tools and numerical simulation means to facilitate the transfer of results into scenarios different to the test or demonstration cases, and to facilitate “virtual” testing in addition to the designs and physical setups tested on ground and in flight . In addition, the IADP workspace places strong emphasis on developing a systematic understanding for dynamically-scaled demonstration, namely the physical laws, the range and limits of validity, accuracy and representativeness. With these in mind, the MOTIVE project is strongly aligned with the objectives of the CS2 programme. The immediate impact of the project will be providing the IADP's Partners and aerospace community with a totally unique new set of multi-physics models, experimental data and numerical insight to utilise and adopt a multi-physics modelling framework to optimise pneumatic valve design. This will cut lead times and design-to-production through a faster pneumatic component prototyping and validation.

Keywords: pneumatic valve,butterfly valve,actuator piston,diaphragm,friction,aerodynamic torque,multi physics modelling,high temperature
Acute Myeloid Leukemia Leukemic Initiating Cells: Contribution of hypoxia/HIF pathway to chemoresistance and relapse (HifLICs)

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: Life Sciences
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2019-01-01
End date: 2020-12-31
Duration (months): 24.0
Total project cost (EUR): 158121.6
EU funding (EUR): 158121.6
Participants: 1
Project status: CLOSED

Acute myeloid leukemia (AML) is a heterogeneous group of diseases caused by acquired cytogenetic and molecular alterations in hematopoietic progenitor cells. There is a substantial need to develop new therapeutic approaches to AML; however, the genetic heterogeneity of AML constitutes a barrier for the development of targeted therapies. Leukemia relapse after treatment is most often caused by a subgroup of cells commonly referred to as leukemia initiating cells (LICs), which are resistant to chemotherapy. It is thought that this resistance is the result of several properties unique to LICs, including their dormant and metabolically inactive state, making them less susceptible to genotoxic drugs. The localization of the LICs in the hypoxic bone marrow niche has been proposed as a driving factor for dormancy. The HIF (hypoxia-inducible factor) family of transcription factors mediates cellular adaptation to hypoxia. While the role of HIFs in the pathogenesis of solid tumors is quite well established, they have only recently been suggested as key regulators of LICs in specific types of leukemia. Yet, results to date are highly controversial, with some studies supporting an oncogenic activity for HIFs and others pointing to a tumor suppressor role. We propose a broad transcriptional study of human AML classified by cytogenetic criteria and disease stage (diagnosis vs relapse). We will focus on HIF-regulated target genes in the LIC subgroup and evaluate LIC heterogeneity using state-of-the-art single-cell technologies. Our results should extend our understanding of the ability of LICs to survive cytotoxic therapy and help to identify candidate targets for clinical application. The use of AML patient samples and single-cell techniques included in this proposal will increase my scientific knowledge and practical experience. I will also benefit from the complementary planned activities of the action, empowering me to become an independent investigator in the near future.

Keywords: hypoxia,leukemia,acute myeloid leukemia,leukemia stem cells,human patients,single cell analysis