Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
A biomimetic and neuroprotective delivery nanocapsule for the targeted treatment of post-ischemic stroke effects (BIONICS)

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: 2018-05-01
End date: 2020-04-30
Duration (months): 24.0
Total project cost (EUR): 168277.2
EU funding (EUR): 168277.2
Participants: 1
Project status: CLOSED

Ischemic stroke occurs due to reduced perfusion to a brain region, because of the blockage of a blood vessel, resulting in death or permanent neurological deficits. It presents high percentages of mortality and morbidity worldwide and market analysis in five major EU countries showed that the total number of first-ever incidents of stroke cases will rise to 1.63 million (43.7% growth) by 2034. Although, many treatments that make use of therapeutic nanoparticles have been presented, unfortunately to date, no effective treatment has been found to prevent damage to the ischemic brain after stroke. Oxidative stress is related to the pathogenesis of stroke and overproduction of ROS and RNS are thought to be the main cause of this. In addition, the overproduction of MMP-9 has been related to many post-stroke side effects. Thus, I propose the development of a biomimetic and neuroprotective lipid nanocapsule (BIONICS) for the targeted treatment of post-stroke side effects. BIONICS will safely deliver anti-oxidant nanoparticles (CeO2) and iNOS inhibitors (L-NIL) across the BBB aiming at reducing the overproduced ROS, RNS and MMP-9, resulting in to the amelioration of the neurological deficits caused by oxidative stress. Through this project, the new skills in the synthesis of antioxidant nanocapsules, the use of molecular biology techniques, design and fabrication of microfluidic models, project management, grant writing, and other transferable skills that I will acquire in IIT, will help my future career plans providing knowledge and expertise in a field where my knowledge is limited. This action will also give me the opportunity to transfer my pre-gained knowledge through seminars/workshops to the institution where my research will be carried out. Overall, I believe that BIONICS will have a significant impact on my short and long-term career goals and will bring me one step closer to my impending goal of the independent researcher.

Keywords: ischemic stroke,post stroke symptoms,neuroprotection,lipid nanocapsules,ceria nanoparticles,inos inhibitors,oxidative stress mmp9,in vitro,in vivo studies
Relativistic and Dynamic effects in Computational NMR Spectroscopy of transition-metal complexes (ReaDy-NMR)

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: Chemistry
Countries involved: Norway
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2019-01-15
End date: 2021-01-14
Duration (months): 24.0
Total project cost (EUR): 196400.4
EU funding (EUR): 196400.4
Participants: 1
Project status: CLOSED

The current proposal aims to established a computational protocol for the rational calculation of NMR parameters in transition-metal complexes by accurately taking into consideration relativistic effects and conformational dynamics. Despite the advances attained in theoretical chemistry methods, the calculation of NMR parameters is not always an easy task. The accuracy with which the shift constants can be obtained depends on several factors and a protocol for these calculations is not always well established and understood. This applies particularly to systems containing heavy element(s) or molecules of open-shell nature. To successfully determine the NMR parameters, the proposed protocol involves the use of all-electron two- and four-component relativistic quantum methods and ab-initio molecular dynamic simulations for the inclusion of the relativistic and solvent effects, respectively. The transition-metal complexes chosen for this project are of high importance in biomedicine, biotechnology, and industrial processes. As the target complexes need to be tested experimentally, this project is multidisciplinary and involves major international collaborations. This project would have a great positive impact on the applicant’s early stage researcher career, identifying her as one of the key players in the opening of a new pathway into computational NMR spectroscopy for systems involving transition-metals.

Keywords: computational nmr,nuclear magnetic resonance calculations
Compressed and Deep Sensing: Models, Structures, and Tasks (CoDeS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Systems and communication engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Israel
Call: ERC CONSOLIDATOR GRANTS (ERC-2020-COG, 2020)
Start date: 2021-07-01
End date: 2026-06-30
Duration (months): 60.0
Total project cost (EUR): 3000000.0
EU funding (EUR): 3000000.0
Participants: 1
Project status: SIGNED

The sophisticated electronic devices ubiquitous today are largely enabled by conversion of analog signals to digital through digital signal processing (DSP). DSP is also the enabler behind the deep learning revolution, which led to systems with unprecedented performance. However, DSP comes at a cost. Internet traffic has exceeded Zettabytes. The conventional approach to DSP and machine learning is to acquire all data possible and build systems that are capable of massive training and parallel processing in order to extract the relevant information out of huge data sets. Acquiring, storing, processing and communicating pervasive massive datasets generated at an ever-increasing speed requires huge amounts of power, hardware, and physical space. In this proposal, we put forth an ambitious goal: introducing a paradigm shift in acquisition and learning to enable systems capable of low-rate, low-power, wideband sensing, efficient training, super-resolution, and flexible operations. Our approach is based on acquiring and processing only the information needed for the required task. We achieve this goal by introducing the new concept of jointly designing all system components, where the underlying structure in the data and the specific required task are taken into account throughout the design. Realizing this new scientific frontier will entail (1) developing new theoretical frameworks of sampling theory, information theory, learning theory and quantization theory of sub-sampled channels where sampling and information are treated jointly and depend on the system task; this will form the basis for (2) the development of novel mixed analog-digital hardware prototypes that enable new technology paradigms, such as wireless ultrasound systems and joint radar-communication platforms, and (3) a broad-range of scientific and clinical applications. A successful outcome can revolutionize the way signals are acquired and processed and have a profound impact on multitude applications.

Keywords: sampling theory
Novel Ozone and Thermal Shock Conservation Process for Vegetables (SCHOCKO3)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Action type: SME instrument
Countries involved: Italy
Call: Resource-efficient eco-innovative food production and processing (H2020-SMEINST-1-2014, 2014)
Start date: 2015-05-01
End date: 2015-08-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

FIORDELISI, leader in the production of dehydrated vegetables in Italy and the first in the production of sun-dried and semi-dried tomatoes was created on 1960. Around 3,500,000 square meters of fields cultivated under Fiordelisi’s careful supervision and an annual production capacity 1,200 tons of sun-dried tomatoes, 700 tons of semi-dried tomatoes, 200 tons of artichokes and 500 tons of other vegetables show our business development. In order to offer always high quality food products, we start by a targeted seed selection and we use modern processes of sanitation and storage, which are constantly studied and improved. Now, we have developed SHOCKO3: a novel sanitation and preservation process based on ozone and a thermal shock. We envisage that SHOCKO3 will replace all traditional oil and freezing based conservation methods. SHOCKO3 will offer approx. 35% of weight reduction, 20% transportation energy saving, 30% CO2 emission reduction, 35% reduction of raw material (oil method replacement), 15% increase average of organoleptic properties (20% taste, 5% colour and % 15 odour) with shelf-life up to 5 months.

Keywords: semi dried vegetables,ozone,thermal schock,tomatoes
Greater RAIL Safety using the Smart Washer Ecosystem (GRAILS-SWE)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: SME instrument
Countries involved: United Kingdom
Call: Small business innovation research for Transport and Smart Cities Mobility (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2017-01-01
End date: 2017-09-30
Duration (months): 9.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

9% of all EU freight (280 billion tonne-kilos) & 381 billion passenger km were travelled on EU rail networks in 2014. A railroad switch & crossing (point) is a mechanical installation enabling trains to be guided from one track to another. Point integrity is vital; there are on average 31 critical fastenings at each switch. Across the EU, SCF was responsible for 21 derailments between 2005-2010. Globally, SCF is responsible for 5.77% of all derailments (6th largest cause of derailments). SCF is a leading cause of signalling failure, leading to delays; 9.5 million minutes of passenger delays due to SCF occurred during the 2015/2016 audit period on the UK rail network alone. EU rail infrastructure owners are implementing ‘intelligent infrastructure’ solutions across their rail networks that enable remote condition monitoring (RCM) & condition based maintenance (CBM) as a way of monitoring assets, such as points, to increase reliability & capacity of rail networks. To enable RCM & CBM, Smart Component Technologies (SCT) have developed their proprietary ‘Smart Washer’ platform technology. Smart Washer 3 (SW3) is a washer containing a multitude of sensors that is deployed at critical fastenings at points to measure parameters (including clamp force & movement) from directly within the fastening. Through a connected Data Controller Unit (DCU), the measurements are fed in real-time to a cloud based server that interfaces with RCM software used by those responsible for the maintenance of rail tracks to remotely monitor the entire switch asset, as well as track bed stability (including voids & track geometry/inclination). Combined, the SW3 & DCU comprise the ‘Smart Washer Ecosystem', which offers a full ‘end-to-end’ solution for RCM & CBM; this will service the Rail infrastructure maintenance market, expected to be worth $5.8 billion in 2017. Conservative cumulative five-year sales of 3,500 installations gives sales of EUR 6.3 million, & a ROI to SCT of 600%.

Keywords: remote condition monitoring,asset management,safety,rail,railway,rail network,infrastructure management,condition based maintenance,internet of things
SEwer inventory system to safeGUard waste water infrastructures (SEGU)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Action type: SME instrument
Countries involved: Belgium
Call: Critical infrastructure protection topic 7: SME instrument topic: Protection of Urban soft targets and critical infrastructures (H2020-SMEINST-1-2015, 2015)
Start date: 2016-01-01
End date: 2016-06-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Waste water networks have been an organic growing system in a 200 year process of pipes, leads, wells, etc. As there was never a standardized inventory system, governments have no or only partial information of their underground (waste) water infrastructure. Without this information crisis management plans for health threats, floods, collapses or calamities are hard to execute. Plans for water management (scarcity of water resources), next generation emergency services (fire brigades), rainwater drainage challenges (enlarging urban environments) or strategic use of sensor systems to detect gas, drugs or explosives are essential and complex tasks. As Europe is urging to solve the issues mentioned above (Groundwater directive, Urban Drainage, Water Framework directive), local governments are looking into this matter. Compiling all the data concerning the exact location and structural status of complete sewerage facilities is expensive and very time consuming. Additionally, all inventory jobs are done manually, error prone & inaccurate, dangerous and operator bound. SEGU offers a solution to the European challenge by allowing for accurate digital 3D data that can be obtained 4 times faster, less expensive and safer. The aim of the SEGU (SEwer inventory system to safeGUard waste water infrastructures) project is to ensure market introduction of a Waste Water Infrastructure Data Service within EU28 as well as proper management of waste water infrastructure. This feasibility study will focus on partner search, study of market mechanisms, local legislation / restrictions, and will result in an extensive business plan towards an EU strategy. Specifically, phase I entails: - Market mechanisms analysis - Business models assessment (services of big data) - (Local) regulations & legislations - Financial verifications & impacts on Business plan Phase II funding will be applied for to develop and build demonstrators to validate and set-up full scale database roll-out.

Keywords: sewerage,urban infrastructure,public health,public safety,waste management,sewer network,surveillance solutions,public and private operators
Fully integrated CBRN incident management system for public safety and private venues with large crowds (SafeZone)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Denmark
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-04-01
End date: 2018-08-31
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The threat of terrorist groups developing Chemical, Biological, Radiological, Nuclear (CBRN) weapons led government officials worldwide to adopt far-reaching measures to defend their citizens. Records show that 50% of the CBRN attacks worldwide in the last 15 years happened since 2013. The frequency of these attacks is low when compared to gun violence, but CBRN incidents typically lead to at least 10-fold increase in the number of casualties. This led the World Economic Forum to rank large-scale terrorist attacks as the 4th most likely global risk. In a shooting rampage attack, the source of hazard is rapidly identified and neutralized, but the same is not true for CBRN incidents, as the hazards are usually invisible, widely dispersed and extremely difficult to neutralize once airborne. The only way to improve emergency response time, avoid casualties and minimize property damage is to have these systems deployed in ‘high-risk’ locations. Airports, museums, stadiums and indoor arenas / concert halls are ‘high-risk’ locations, since their security officers tend to have low to zero military training on CBRN incident management, yet they represent the first line of emergency response in the event of such an attack. To improve threat response capacity and real-time coordination with public emergency services, these privately-managed, large-crowd venues need a CBRN management solution. Bruhn NewTech develops tools for the military sector to address the national security scope of CBRN threats. Building upon our in-house technology and know-how, we now aim to adapt and mature our core technology to a new market – i.e. the civilian CBRN emergency response – providing onsite security officers in private venues with the necessary tools to take informed decisions, save human lives and limit property damage. The SafeZone project will deliver a wireless, plug and play detection system to define safe routes and areas, with an innovative user interface to manage acquired data.

Keywords: terrorism,interoperable system,cbrn response,civilian preparedness,private venues,crowded places
Setting up the spindle in the mammalian egg for meiosis and embryo development (ACENTSPINTUB)

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: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2017-03-28
End date: 2019-03-27
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

An increase in the age of onset of child-bearing increases in developed countries is leading to an increased incidence of chromosome abnormalities arising in defective meiosis. Accurate chromosome segregation requires a correctly assembled meiotic spindle and so it is essential to understand this process. Here we propose to examine how the spindle forms in the oocytes and early embryos of the mouse that, like human oocytes, lack centrioles. Nevertheless, spindle formation in these cells requires the function of Polo-like kinase 4, a protein that in somatic cells regulates centriole duplication. Plk4 localises to the acentriolar microtubule organising centres (MTOCs) where it particptates in regulating the nucleation of microtubules. We now wish to determine how Plk4 functions in these acentriolar cells to participate in spindle formation. This requires identifying the molecular partners of Plk4; the mechanisms that regulate its sub-cellular localisation to be in the vicinity of its substrates; and to identify its molecular substrates. We will also determine how it interacts with the Ran-GTP pathway, the other major pathway that regulates spindle formation in the absence of centrosomes. In the second part of the proposal we will address the behaviour of MTOCs in the oocyte and early embryo. There appear to be two distinct populations of MTOCs in the oocyte, one of which, the cytoplasmic MTOCs, appear to be essential for spindle bipolarity during metaphase by anchoring polar MTOCs. We wish to characterise these MTOCs to determine how they might differ from those at the spindle poles. The acentriolar MTOCs can also show differential behaviour at the spindle poles. This is most evident in the asymmetrical fate determining divisions at the 8-16 and 16-32 cell stage of the embryo. We wish to understand how this differential behaviour relates to cell polarity at these stages.

Keywords: meiotic spindle,acentriolar cell division,plk4,mouse oocyte,early embryo
Patient specific magnetic resonance image guided biomechanical modelling of the heart – A novel tool towards personalized medicine in heart failure (CMRPredict)

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: Life Sciences
Countries involved: Switzerland,United States
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Duration (months): 36.0
Total project cost (EUR): 247840.2
EU funding (EUR): 247840.2
Participants: 2
Project status: CLOSED

Heart failure (HF) is a progressing disease currently affecting 2% of the population in the developed world with a mortality rate of 50% within the first five years. While HF with reduced ejection fraction, primarily associated with myocardial infarction, can be detected with sufficient accuracy, HF with preserved ejection fraction is far more difficult to diagnose. Accordingly, there is an urgent need to better diagnose these patients to ultimately guide and improve treatment. Among the clinical imaging modalities, Cardiovascular Magnetic Resonance (CMR) is the gold standard for assessing cardiac mass and ejection fraction, and is capable to assess local cardiac mechanics and tissue properties. Beyond these established methods, cardiac diffusion tensor imaging has emerged as a new tool to enable insights into the microscopic morphology of the beating heart. Unfortunately, due to scan time limitations during clinical routine, compromises in spatial resolution and coverage have to be made. To overcome practical limitations of clinical in vivo CMR imaging and to enable prediction of disease progression for individual patients, additional tools are required. To this end, biomechanical models have attracted considerable attention. Once adapted sufficiently to in-vivo imaging, these models promise patient-specific insights into causes and progression of disease and, help guiding treatment. It is the objective of the present fellowship proposal to significantly advance patient-specific, image-guided modelling of HF by incorporating the most recent developments in both CMR imaging and biophysical modelling. The proposed framework will address limitations of current approaches, which impose generic assumptions about cardiac tissue properties and structure. With recent innovations in CMR imaging, as developed by the applicant, data on local changes of myocardial microstructure will be obtained to achieve the next level of diagnostic and predictive cardiac modelling of HF.

Keywords: heart failure with preserved ejection fraction,patient specific biomechanical models,model based heart failure prediction,advanced cardiovascular magnetic resonance,personalized treatment planning