Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
The Molecular Mechanisms of Heart Regeneration (CARDIOGEN)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Life-long training and career development
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: France
Call:  (FP7-PEOPLE-2012-CIG, 2012)
Start date: 2013-03-01
End date: 2017-02-28
Duration (months): 48.0
Total project cost (EUR): 100000.0
EU funding (EUR): 100000.0
Participants: 1
Project status: CLOSED

Adult zebrafish are capable of completely regenerating their heart after an extensive insult. Previously, we determined that the regenerated myocardium was produced by the proliferation of existing cardiomyocytes and not, as had previously been reported, by stem/progenitor cells. Analysis of regenerating hearts shows that soon after injury cardiomyocytes detach from one another and dedifferentiate, disassembling their sarcomeric structure in the process. In situ and microarray analysis indicate that dynamic changes in gene expression are also associated with heart regeneration. At present only handful of genes have been directly linked to heart regeneration in zebrafish. Our main objective is to expand this small list and thus provide candidates which can subsequently be manipulated in mammals. To determine suitable target genes, we will make use of the substantial microarray data generated from studying heart regeneration in zebrafish. Importantly, this data has revealed that certain genes shown to be up-regulated during zebrafish heart regeneration have previously been shown to positively regulate cardiomyocyte proliferation in mammalian models. These findings not only indicate that zebrafish and mammals share similar genetic mechanisms as far as regulating cardiomyocyte proliferation but also verify that the data represented in the microarrays contains positive candidate genes. Once candidates have been selected and confirmed in our zebrafish model system, we will begin testing these in vitro in mammalian cardiomyocytes before creating transgenic mouse models to determine whether they are capable of inducing myocardial regeneration following cardiac ischemia.

Keywords: l101 molecular biology and interactions,l202 transcriptomics,l407 cardiovascular diseases,l303 cell cycle and division,l307 cell signalling and cellular interactions
Critical System Engineering Acceleration (CRYSTAL)

Framework: FP7 — Cooperation
Programme: Joint Technology Initiatives (Annex IV-SP1)
Theme: Public-private partnerships
Destination: Embedded Computing Systems
Action type: Collaborative project
Partnership: ARTEMIS (Art-185)
Countries involved: Austria,France,Germany,United Kingdom,Italy,France,Italy,Sweden,Austria,Germany,Belgium,Italy,Sweden,Germany,Germany,France,United Kingdom,France,Germany,Spain,Spain,Czechia,United Kingdom,Spain,France,Czechia,Netherlands,Netherlands,France,Germany,Netherlands,Italy,Germany,France,Germany,Germany,Italy,France,Germany,Germany,Spain
Call:  (ARTEMIS-2012-1, 2012)
Start date: 2013-05-01
End date: 2016-07-31
Duration (months): 39.0
Total project cost (EUR): 81508480.71
EU funding (EUR): 13611916.28
Participants: 70
Project status: CLOSED

CRYSTAL aims at fostering Europe’s leading edge position in embedded systems engineering in particular regarding quality and cost effectiveness of safety-critical embedded systems and architecture platforms. Its overall goal is to enable sustainable paths to speed up the maturation, integration, and cross-sectoral reusability of technological and methodological bricks of the factories for safety-critical embedded systems engineering in the areas of transportation (aerospace, automotive, and rail) and healthcare providing a critical mass of European technology providers. CRYSTAL perfectly fits to other ARTEMIS projects, sharing the concept of a reference technology platform (RTP) as a consistent set of integration principles and seamless technology interoperability standards. Based on the methodologies of a service-oriented architecture and the results of previous projects CRYSTAL focuses on an industry-driven approach using cross-domain user stories, domain-specific use cases, public use cases, and technology bricks. This shall have a significant impact to strengthen European competitiveness regarding new markets and societal applications. In building an overall interoperability domain “embedded systems”, CRYSTAL will contribute to establishing a standard for model-based systems engineering in a certification and safety context which is expected to have global impact. By bringing together large enterprises and various industrial domains CRYSTAL will setup a sustainable innovation eco-system. By harmonizing the demands in the development of safety-relevant embedded systems including multi-viewpoint engineering and variability management across different industrial domains, CRYSTAL will achieve a strong acceptance from both vendors and the open-source community. CRYSTAL will drive forward interoperability towards a “de facto” standard providing an interoperable European RTP. Approved by the JU on 15-03-2016

Keywords: interoperability,system engineering,safety,standards,industry-driven approach
COgnitive & Perceptive CAMeraS (COPCAMS)

Framework: FP7 — Cooperation
Programme: Joint Technology Initiatives (Annex IV-SP1)
Theme: Public-private partnerships
Destination: Embedded Computing Systems
Action type: Collaborative project
Partnership: ARTEMIS (Art-185)
Countries involved: France,France,France,France,Spain,Spain,Spain,Poland,Slovenia,Denmark,United Kingdom,United Kingdom,Türkiye
Call:  (ARTEMIS-2012-1, 2012)
Start date: 2013-04-01
End date: 2016-09-30
Duration (months): 42.0
Total project cost (EUR): 13874237.83
EU funding (EUR): 2316997.7
Participants: 25
Project status: CLOSED

Vision systems are becoming ubiquitous in our daily lives. Complex analysis of images from multiple cameras will become the norm in the future, from cars to industrial systems, from smart cities to facility monitoring, aimed at extracting meaningful, context-dependent information. Today’s market is dominated by a combination of relatively simple, fixed function, configurable cameras that stream video to PC-based (and in some cases small embedded) gateways. These systems cannot scale beyond a certain size because of power consumption and the aggregate networking bandwidth required to stream videos to servers, where aggregated video analysis is performed. So the trend for visual analytics functions is that they get executed at the edge of these complex vision systems, e.g. in the cameras themselves. The Cognitive and Perceptive Camera Systems (COPCAMS) proposal leverages recent advances in embedded computing platforms to design, prototype and field-test full large-scale vision systems. It aims at exploiting a new many-core programmable accelerator platform to power a new generation of vision related devices (smart cameras and gateways), able to extract relevant information from captured images and autonomously react to the sensed environment by interoperating at large scale in a distributed manner. Date of approval by ECSEL JU: 11/07/2016.

Keywords: cognitive cameras,vision,multicore.
Holistic Human Factors and System Design of Adaptive Cooperative Human-Machine Systems (HOLIDES)

Framework: FP7 — Cooperation
Programme: Joint Technology Initiatives (Annex IV-SP1)
Theme: Public-private partnerships
Destination: Embedded Computing Systems
Action type: Collaborative project
Partnership: ARTEMIS (Art-185)
Countries involved: Germany,Spain,Netherlands,Czechia,Germany,United Kingdom,Italy,France,Germany,Germany,France,United Kingdom,France,Czechia,Germany,France,France,Italy,Germany,Netherlands,Italy,Spain,Germany,Netherlands,Germany
Call:  (ARTEMIS-2012-1, 2012)
Start date: 2013-10-01
End date: 2016-09-30
Duration (months): 36.0
Total project cost (EUR): 22989463.0
EU funding (EUR): 3839240.32
Participants: 32
Project status: CLOSED

HoliDes addresses development and qualification of Adaptive Cooperative Human-Machine Sys-tems (AdCoS) where many humans and many machines act together, cooperatively, in a highly adaptive way. They adapt to each other and to the context to guarantee fluent and cooperative task achievement. Such systems with higher levels of automation are urgently needed to enhance safety and to increase the confidence of human operators. However, adaptiveness in Cooperative Human-Machine Systems on the Health, Aeronautics, Control Rooms and Automotive market is still sadly limited. The development and especially the qualification and certification of AdCoS in-volving several interactive Embedded Systems are not yet well-mastered in industrial develop-ment. The lack of adequate means of compliance with human factors and safety regulations may force the designers to simplify systems in order to make them certifiable. This clearly compromises the huge potential AdCoS could have on increasing overall safety. In order to unleash this potential HoliDes will research affordable means of compliance which enable to formalize adaptation strategies on global many humans - many machines levels and local HMI levels in a coordinated way. This will be achieved by developing techniques & tools on 5 research dimensions: (1) automated AdCoS re-configuration based on e.g. real-time predictive human models; (2) holistic formal (human & machine) modelling and accelerated analysis; (3) new empirical task, exploration and validation analyses of AdCoS; (4) a formalized synergetic empirical and model-based methodology; (5) integration of all techniques & tools in a Human Factors Reference Technology Platform (HF-RTP) to foster interoperability and to support human factors along the whole engineering life-cycle. The HF-RTP will be closely connected to the technically oriented CESAR RTP to enable holistic development & qualification from both perspectives human factors and technical systems design. APPROVED BY ECSEL-JU 12/09/2016

Keywords: adaptive cooperative human-machine systems,development & qualification methods,techniques & tools,human-machine model-based analysis,automated re-configuration of human-machine cooperation
Embedded systems Service-based Control for Open manufacturing and Process automation (E-SCOP)

Framework: FP7 — Cooperation
Programme: Joint Technology Initiatives (Annex IV-SP1)
Theme: Public-private partnerships
Destination: Embedded Computing Systems
Action type: Collaborative project
Partnership: ARTEMIS (Art-185)
Countries involved: Finland,Finland,Italy,Czechia,Poland,Netherlands,Italy,Poland
Call:  (ARTEMIS-2012-1, 2012)
Start date: 2013-03-01
End date: 2016-02-29
Duration (months): 36.0
Total project cost (EUR): 5820308.0
EU funding (EUR): 971991.44
Participants: 10
Project status: CLOSED

E-SCOP project is built under ARTEMIS Sub-programme 4: Embedded systems for manufacturing and process automation. The project aims to overcome the current drawbacks for the shop floor control level (i.e. MES and deterministic / real-time control), thus improving the state of the art of the overall production control system architecture. This goal is achieved by introducing an innovative approach based on the combination of 3 different pillars, namely: i) embedded systems, ii) ontology-based knowledge management and iii) service-oriented architecture. The approach is called Open, Knowledge-Driven Manufacturing Execution System (OKD-MES). Traditionally embedded devices have limited resources in terms of memory and processing (CPU) capabilities. However the development of communication technologies made it possible and affordable to integrate heterogeneous devices into a large networks as it become possible to implement on embedded devices different protocols stacks developed by World Wide Web Consortium (W3C). This includes web services protocols. A number of European and national projects have already demonstrated how to use web services at the level of embedded devices in the field of manufacturing. However, the integrated approach for manufacturing system development that would focus on provisioning of missing and supporting services that operate together with embedded devices has still to be developed. One of the main results for E-SCOP project is a service-oriented middleware that should allow to build and simulate factory and process control systems. On general level, the proposed E-SCOP architecture is composed of three layers i) Physical layer, ii) Representation Layer and iii) Orchestration Layer. Approved by ARTEMIS-JU on 21/02/2013

Keywords: embedded systems for manufacturing and process control,service-oriented architecture,web services,knowledge-driven automation
Adaptive Cooperative Control in Urban (sub) Systems (ACCUS)

Framework: FP7 — Cooperation
Programme: Joint Technology Initiatives (Annex IV-SP1)
Theme: Public-private partnerships
Destination: Embedded Computing Systems
Action type: Collaborative project
Partnership: ARTEMIS (Art-185)
Countries involved: Spain,Spain,Spain,Italy,Czechia,Czechia,Poland,Netherlands,Netherlands,Netherlands,Finland,Portugal,Slovenia,Spain,Spain,Italy,Finland
Call:  (ARTEMIS-2012-1, 2012)
Start date: 2013-06-01
End date: 2016-01-31
Duration (months): 32.0
Total project cost (EUR): 8015472.77
EU funding (EUR): 1338583.93
Participants: 28
Project status: CLOSED

Urban systems like traffic, energy, and outdoor lighting are managed by self-contained embedded systems – though the managed processes are deeply interconnected. New applications and collective optimization require integration of these systems which represents a truly “systems of systems” integration problem: these urban systems evolve independently, have their own purpose and internal policies which must not be affected by such integration and have their own management. As a result, the integration has to manage emergent behavior and take non-availability of components as the norm rather than the exception. This is particularly challenging when control loop span across several systems. ACCUS aims at three innovations: 1. Provide an integration and coordination platform for urban systems to build applications across urban systems 2. Provide an adaptive and cooperative control architecture and corresponding algorithms for urban subsystems in order to optimize their combined performance 3. Provide general methodologies and tools for creating real-time collaborative applications for systems of systems ACCUS studies a set of so-called converged scenarios that span across urban systems to investigate requirements and defines a reference architecture for the integration of urban systems, based on semantic descriptions. Simulations with software and systems in the loop will be supported. The entire development and integration will be supported by tools. The ACCUS system and tools will be validated and demonstrated in an extended use case in Poland. The input of ACCUS is the work of several other ARTEMIS projects that focus on the self-contained urban systems themselves. ACCUS goals are ambitious. In order to achieve these goals a well-established and high-quality consortium with a broad scope of complementary disciplines and a long experience in European and National programs is lined up to do the job. Approved by ARTEMIS JU on 13/11/2013. Amendment 1 approved by ECSEL JU on 18/09/2014. Amendment 2 approved by ECSEL JU on 25/09/2015.

Keywords: system of systems,integration,adaptive control,real-time collaborative applications
Conformational Control in Designed Biomimetic Metallofoldamers: Towards Functional Materials (MF STRC AND FCN)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Life-long training and career development
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Israel
Call:  (FP7-PEOPLE-2012-CIG, 2012)
Start date: 2013-03-01
End date: 2017-02-28
Duration (months): 48.0
Total project cost (EUR): 100000.0
EU funding (EUR): 100000.0
Participants: 1
Project status: CLOSED

The established relationship between biopolymers structure and function has led to the design of “Foldamers” – synthetic oligomers that can fold into well-defined three-dimensional conformations stable in solution. Substantial progress has been made in establishing foldamers that emulate protein secondary and tertiary structures. Further advancement of foldamers requires design strategies that will enable their use as superior materials with unique functions. Metal ions are key cofactors in both the structure and function of proteins and essentially Nature’s choice for sophisticated tasks such as folding, catalysis, and recognition. Thus, the goal of this proposal is to generate metal-binding foldamers and investigate (i) whether metal binding can induce folding of biomimetic oligomers and stabilize 3D conformations, (ii) whether the interactions with foldamers can mediate the geometrical and chiral properties of the metal complexes formed, and (iii) their use as enantioselective catalysts and chiral sensors. We study the class peptidomimetic foldamers called “peptoids” – N-substituted glycine oligomers. Their facile and efficient synthesis on solid phase support, which employs primary amines, enables the incorporation of various functional groups at specified N-positions along their spine. We will design and synthesize a diverse range of peptoid sequences, with different degrees of conformational order, incorporating at least one metal chelator. The various sequences will enable systematic investigation of the oligomers folding behavior upon metal coordination. Conformational changes and chirality will be detected by Circular Dichroism (CD) spectroscopy. Based on our findings we will generate unique chiral sensors and multifunctional asymmetric catalysts: helical metallofoldamers incorporating an organic co-catalyst and an activation reagent on the same backbone will be evaluated for their ability to act cooperatively, thus emulating biomimetic function.

Keywords: foldamers,peptoids,metal coordination,conformational control,helix,chirality,asymmetric catalysis,biomimetic
Fast, Targetted, High-Throughput Scanning Electron Microscopy (FASTSCAN)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Proof of concept grants
Action type: Support for frontier research (ERC)
Countries involved: Switzerland
Call:  (ERC-2012-PoC, 2012)
Start date: 2013-08-01
End date: 2014-07-31
Duration (months): 12.0
Total project cost (EUR): 166000.0
EU funding (EUR): 149100.0
Participants: 1
Project status: CLOSED

This project aims at producing industrial-grade software from newly developed algorithms to greatly increase the throughput of scanning electron microscopes and, thus, to transform the way they are used to image 3D samples. To this end, we will integrate into the standard scanning software automated image-based recognition techniques to focus imaging resources on regions of interest while ignoring others. We expect this to speed up the acquisition by a factor 10 and to increase the volume sizes that can be imaged. Given the scientific and industrial importance of Electron Microscopy, we believe there is a substantial market for such improvements and we plan to demonstrate it. Preliminary experiments have shown that the approach we propose can indeed reduce imaging time by a factor 10 at almost no information loss. The goal of this project will be to turn the insights we have gained, and are now patenting, into a software plug-in that can be sold along with Zeiss microscopes and their attendant software. Our target customers will initially be neuro-scientists both in academia and industry. However, the techniques we propose will also be of use in other fields where Electron Microscopy plays a critical role, such as Material Sciences and Electronic Circuit Design.

Keywords: 247170
Elastic and transparent scaling for stream processing applications (321526)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Life-long training and career development
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Türkiye
Call:  (FP7-PEOPLE-2012-CIG, 2012)
Start date: 2013-05-01
End date: 2017-04-30
Duration (months): 48.0
Total project cost (EUR): 100000.0
EU funding (EUR): 100000.0
Participants: 1
Project status: CLOSED

Stream processing applications process high-volume, continuous feeds from live data sources, employ data-in-motion analytics to analyze these feeds, and produce near real-time results with low latency. With the explosion in the amount of data available as live feeds, stream computing has found wide applications in areas ranging from telecommunications to health-care to cyber-security. The high volume of the data to be processed, the velocity at which the results need to be produced, and the variety of the data sources involved make stream processing applications unique and challenging. One of the major limitations of existing stream processing middleware is their inability to take advantage of parallelism opportunities that exist in stream processing applications, in order to scale in the presence of additional resources and workload. This often requires manual intervention by the application developers to specify what is 'safe' to parallelize and/or how much parallelization is 'profitable'. Yet another challenge is to dynamically adapt to the changes in workload and resource availability. We propose system-level techniques that address these challenges via 'transparent' and 'elastic' scaling. The transparent nature of the scaling means that the application developers do not need to specify what parts of the application is safe to parallelize, and instead this information will be derived through automatic analysis.The elastic nature of the scaling means that the level of parallelism is dynamically adjusted as resource and workload availability changes. Furthermore, in the presence of multiple kinds of parallelism as well as multiple instances of application segments that can benefit from these, we propose techniques to effectively manage resources in order to maximize application performance.

Keywords: g113 parallel and distributed computing,g102 database management