Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Role of Progesterone Receptor Membrane Component-1 in oogenesis and mammalian fertility (PRO-OVUM)

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: Italy
Call:  (FP7-PEOPLE-2011-CIG, 2011)
Start date: 2012-02-01
End date: 2016-01-31
Duration (months): 48.0
Total project cost (EUR): 100000.0
EU funding (EUR): 100000.0
Participants: 1
Project status: CLOSED

Infertility is a major problem that affects domestic mammals and declining fertility represents an obstacle in maintaining profitability of dairy farms in Europe and worldwide. Since declining fertility of cattle is mainly due to the poor quality of the oocytes, defining the factors and mechanisms that affect oocyte quality, is essential for improving female fertility. In particular, basic knowledge of which proteins within the oocyte regulate meiosis, oocyte fertilizability and early embryonic development would be advantageous. Based on our preliminary data, we propose that Progesterone Receptor Membrane Component 1 (PGRMC1) is one of the key factors that regulate mammalian oocyte quality. This hypothesis will be rigorously tested by determining 1) whether PGRMC1 plays an essential role in maintaining the ability of bovine oocytes to complete meiosis, undergo fertilization and develop to an healthy embryo in vitro, by genetically manipulating the levels of PGRMC1 within the oocyte, and 2) PGRMC1’s mechanism of action by identifying its interacting proteins within the oocyte. The scientific program is directly linked to the studies that the candidate has conducted during her period of mobility at the University of Connecticut Health Center (USA) and should result in important discoveries in the field of reproductive biology. If granted, this study will contribute to the improvement of the quality of European research and will improve significantly the lifelong training and career development of the applicant, providing the opportunity to capitalize in Italy on her experience on this promising topic.

Keywords: natural sciences,reproduction,animal reproduction,fertility,meiosis
Photocatalytic reduction of carbon dioxide into fuels (PHOTOCO2)

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: United Kingdom
Call:  (FP7-PEOPLE-2011-CIG, 2011)
Start date: 2012-09-01
End date: 2014-08-31
Duration (months): 24.0
Total project cost (EUR): 50000.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

A promising research area, which could provide a solution to the high energy demands of our society, as well as to the devastating effects of greenhouse gases, has arisen from the idea of using CO2 as chemical feedstock for fuel production. The capture, conversion and storage of a sustainable, clean and secure energy represents an important multidisciplinary research area. The goal of artificial photosynthesis is to mimic the conversion of water and CO2 under solar irradiation, carried out by plants and other bacteria, to obtain high-energy chemicals for energy production. Light induced water splitting and CO2 reduction devices at a molecular level require the integration of at least three essential components in a stable supramolecular architecture: a photosensitiser, a water oxidation catalyst and a CO2 reduction catalyst. An interesting way for the incorporation of this catalytic system in a complete functional device is the so called dye sensitised photoelectrochemical cell. In this device, the oxidation and reduction reactions take place at the anode and cathode electrodes of an electrochemical cell. The aim of this proposal is the development and study of an efficient photocathode, composed of a photosensitiser, a semiconductor support and a catalyst for the reduction of CO2 into fuels. This electrode will then be integrated into a new molecular-based device able to produce high value chemicals such as CH3OH or CH4 from CO2. A clear advantage of this innovative scheme is that it allows the study of the kinetic reactions that occur at the CO2 reduction electrode and the mechanisms of the photochemical CO2 reduction in an independent system. The final device will be prepared as a composition of two different sub-systems: for water splitting and CO2 reduction. The electrodes included in the final device are exactly the same systems studied independently, therefore the kinetic studies and mechanisms of action will be applicable to the complete system.

Keywords: physical sciences
Advanced Kernel-Methods for Medical Imaging (AKMI)

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: Denmark
Call:  (FP7-PEOPLE-2011-CIG, 2011)
Start date: 2012-05-01
End date: 2016-04-30
Duration (months): 48.0
Total project cost (EUR): 100000.0
EU funding (EUR): 100000.0
Participants: 1
Project status: CLOSED

The goal of this project is to develop kernel-based machine learning methods for image classification that employ similarity measures comparing images in a hierarchical fashion - as humans do, but with the accuracy of a computer. These methods shall allow to solve challenging medical imaging problems, in particular they will be applied to the diagnosis of osteoarthritis (OA) and breast cancer, which are ranked among the most burdening diseases. Looking at the visual cortex, it becomes obvious that the human visual system uses `deep' structure consisting of multiple levels of processing operating on more and more abstract representations of the visual scene. This has been successfully copied in computer vision systems, In contrast, kernel-based learning algorithms such as support vector machine (SVM) classifiers mark the state-of-the art in pattern recognition. They employ (Mercer) kernel functions to implicitly define a metric feature space for processing the input data, that is, the kernel defines the similarity between observations, in our case between medical images. Kernel methods are well understood theoretically and give excellent results in practice. However, they are usually considered to be `shallow' learning methods in the sense that they realize only a single layer of non-linear processing. This project will combine hierarchical image processing with the efficiency, theoretical beauty, and accuracy gain of SVMs for advancing the performance of medical imaging systems. This is made possible by marrying the applicants expertise in kernel-based machine learning with the widely recognized knowledge in medical image analysis at his new affiliation The Image Group at the Department of Computer Science, University of Copenhagen (DIKU).

Keywords: machine learning,medical imaging,kernel-based learning,deep learning,breast cancer,osteoarthritis
Regulation of Plant Potassium Channels (REGOPOC)

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: Spain
Call:  (FP7-PEOPLE-2011-CIG, 2011)
Start date: 2012-03-01
End date: 2016-02-29
Duration (months): 48.0
Total project cost (EUR): 100000.0
EU funding (EUR): 100000.0
Participants: 1
Project status: CLOSED

Potassium (K+) is the most abundant mineral element in plants, and together with nitrogen and phosphorous, is limiting for plant production in many natural and agricultural habitats. Voltage-gated K+ channels are key players in the acquisition of K+ from the soil and in its redistribution within the plant. Interestingly, members of the family of plant voltage-gated K+ channels are structurally very similar but functionally they segregate into inward-rectifying (Kin) channels that allow plant cells to accumulate K+, outward-rectifying (Kout) channels that mediate K+ efflux, and weak-rectifying (Kweak) channels with the unique characteristic that they can act in two different gating modes. They are either inward-rectifying channels mediating K+ uptake only or non-rectifying channels transporting K+ in both directions over the plasmamembrane. This proposal aims at identifying the reasons for these divergences. One goal is to identify the molecular basis for the opposite rectification of Kin and Kout channels. To achieve this, generation of synthetic Kin and Kout channels is accompanied by in silico structural molecular modeling and dynamics simulations. This combined approach is novel and will allow detailed structural and functional insights into the regulation of plant K+ channels. Another goal is to identify mechanisms that regulate Kweak channel activity. Gating properties of these channels are strongly regulated by a complex spectrum of posttranslational modifications. By diverse approaches entities of the regulatory network are identified and the dynamics of this network is investigated in computational simulations. Beneficial aspects of Kweak channel regulation that were uncovered in Arabidopsis will be tested also in a crop plant species.

Keywords: plant biophysics,plant nutrition,channel,plant,rectification,regulation,potassium
Engineering Network and Interference Geometry for the Analysis and Design of Next Generation Wireless Networks (ENIGMA)

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-2011-CIG, 2011)
Start date: 2012-04-01
End date: 2016-03-31
Duration (months): 48.0
Total project cost (EUR): 100000.0
EU funding (EUR): 100000.0
Participants: 1
Project status: CLOSED

Today, our society, industry and service sectors are increasingly becoming more dependent on information and communication technologies (ICT) in general and wireless telecommunication networks in particular. For example, fourth generation (4G) wireless networks has transformed mobile handsets into intelligent terminals for providing an easy anytime-anywhere access to all sorts of information and services in our daily lives such as location tracking, high-definition video streaming, and portfolio monitoring and management. ICT empowered with next generation wireless protocols for machine-to-machine communication is expected to decrease total greenhouse gas emissions from all industry sectors by 15%, and to advance current medical and public health practices significantly within the next decade. Such a wide range of application areas brings together new interoperability challenges for heterogeneous network architectures and requires innovative approaches for interference mitigation to support data rates as high as 1 Gbits/sec in low mobility and 100 Mbits/sec in high mobility environments. This project will engineer network and interference geometry to derive fundamental performance bounds and to mitigate interference for next generation heterogeneous wireless and complex networks. It will combine stochastic geometry and random geometric graphs with the theory of complex networks, nonlinear optimization and advanced distribution approximation techniques to discover hidden dynamics and underlying fundamental properties peculiar to these networks. Novel, distributed, practical and provably optimal or near-optimal algorithms will be devised to manage and control heterogeneous wireless and complex communication networks, as well as safeguarding them against unexpected failures, attacks and anomalies. Project outcomes are also expected to find interdisciplinary applications beyond wireless networks to other complex networks such as Internet and social networks.

Keywords: wireless networks,wireless multi-access interference,power control,medium-access control,complex networks,stochastic geometry,shot-noise,nonlinear optimization,network utility maximization
Improving Protein Homeostasis to Extend Health- and Lifespan (ER LONGEVITY)

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: Germany
Call:  (FP7-PEOPLE-2011-CIG, 2011)
Start date: 2012-03-01
End date: 2016-02-29
Duration (months): 48.0
Total project cost (EUR): 100000.0
EU funding (EUR): 100000.0
Participants: 1
Project status: CLOSED

Demographic changes result in ageing European populations and age-related diseases such as heart disease, diabetes, and neurodegeneration are serious health and societal challenges. Organismal ageing can be described as the progressive loss of homeostasis with time and, although ageing has a strong stochastic component, it is modulated by protective mechanisms that are conserved from simple organisms to mammals. Protein homeostasis, the combined processes that generate and maintain a functional proteome, is implicated in longevity and a deficiency is linked to various age-related diseases. Proteotoxic stress responses are compartmentalized and the cytosolic, mitochondrial and endoplasmic reticulum (ER) stress pathways are molecularly distinct. Both mitochondrial and cytosolic unfolded protein responses (UPR) are under systemic and cell-autonomous regulation in Caenorhabditis elegans. Endocrine ER-UPR modulation is currently unknown. I hypothesize that it is systemically coordinated through hormonal signals and that improving ER homeostasis will improve health and lifespan. I will use tissue-specific ER stress and heat-sensing-deficient mutants to investigate systemic ER-UPR regulation. Insulin signaling, which modulates stress resistance, and the ER-UPR are candidate pathways of cell-non-autonomous UPR. Next, unbiased whole genome screens will be used to identify new systemic and cell-autonomous regulators that enhance ER stress resistance and extend lifespan. To translate the findings from C. elegans work into the mammalian system, I will evaluate evolutionary conserved candidate genes in diverse murine and human cell lines during stress. I will use conditioned media to analyze non-cell-autonomous ER-UPR signaling in cytoprotection. Cultured cells will also be used for biochemical characterization of novel candidate genes. Elucidating novel mechanisms that coordinate protein homeostasis, my work will have implications for human age-related disease and longevity.

Keywords: longevity,protein folding,endoplasmic reticulum,endocrine regulation,c. elegans,genetic screens,mammalian tissue culture
Preparation of ITO free transparent conductive electrode via layer-by-layer deposition of carbon nanotubes and its application for solar cells (LBL OF CNTS FOR SCS)

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-2011-CIG, 2011)
Start date: 2012-04-01
End date: 2015-03-31
Duration (months): 36.0
Total project cost (EUR): 75000.0
EU funding (EUR): 75000.0
Participants: 1
Project status: CLOSED

The objective of this work is to prepare ITO free transparent conductive electrodes on glass and polyethylene terephthalate (PET) substrate via layer-by-layer deposition (LBL) of carbon nanotubes (CNTs) and to utilize the prepared electrode for solar cell devices. First, CNTs will be chemically functionalized with carboxylic acid and amine groups. Next, the substrates will be subjected to oxygen plasma etching to introduce hydroxyl groups, followed by immersing in gamma-APS (3-aminopropyltriethoxysilane) solution. Then, CNT multilayer will be formed on the gamma-APS modified substrate via LBL deposition of carboxylic acid and amine functionalized CNTs alternatively. The deposition conditions will be optimized by measuring the sheet resistance and optical transmission and it will be compared with standart ITO values. In addition, film thickness and morphology will be investigated with ellipsometry and AFM, respectively. Moreover, the CNT multilayer film on the substrate (glass and PET) will be subjected to adhesion and chemical resistance test, and to mechanical bending tests for PET substrate. Finally, solar cell device will be fabricated on the CNT multilayer electrode by using commercial photoactive polymers. The electrical properties and device efficiency values will be investigated and compered with the one with ITO coated substrate. Here, I believe that this proposal is very relevant to the work programme since it includes material science, nanoscience, and optoelectronic and energy device application, which are known to be among the core topics of FP7 programme. Also, the CIG programme is very relevant to myself since i started my career in Turkey (associate country of FP7 programme) as a fresh PhD holder after i came back from South Korea, where i resided and completed PhD work.

Keywords: materials engineering,materials technology,energy technology,surface chemistry,nanotechnology
GAZE-BASED PERCEPTUAL AUGMENTATION (DEEPVIEW)

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: United Kingdom
Call:  (FP7-PEOPLE-2011-CIG, 2011)
Start date: 2012-06-01
End date: 2016-05-31
Duration (months): 48.0
Total project cost (EUR): 100000.0
EU funding (EUR): 100000.0
Participants: 1
Project status: CLOSED

The analysis and visualisation of increasing amounts of data is pervasive and indispensable in many of the crucial activities for a countless number of professions. Moreover, the amount and types of data that is available for visual inspection and analysis keeps growing. The DeepView project proposes the use of gaze-tracking technology (i.e., hardware and software that can judge where the user is looking at within a screen) to extend the basic perceptual abilities of the user. The project will iterate on prototypes and empirical evaluations to explore the space of gaze-contingent manipulations that can improve perceptual performance in common tasks such as colour differentiation, visual search, and maxima finding. The project will also seek to apply the results of the initial phases to applied scenarios in other disciplines other than Human Computer Interaction and Information Visualization.

Keywords: technological sciences,perceptual augmentation,gaze-contingent displays,human-computer interaction,eye-tracking,augmented cognition
Phase I trial in recurrent high-grade glioma: High-dose vorinostat with concurrent hypofractionated radiation therapy (RECURRENT GLIOMA TX)

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-2011-CIG, 2011)
Start date: 2013-01-01
End date: 2016-12-31
Duration (months): 48.0
Total project cost (EUR): 100000.0
EU funding (EUR): 100000.0
Participants: 1
Project status: CLOSED

High-grade gliomas are the most frequent type of primary brain tumor in adults. Despite optimal multi-modality treatment the disease almost always recurs, at which point median survival is less than a year. Vorinostat (suberoylanilide hydroxamic acid) is the first member of a new class of anti-cancer compounds - histone deacetylase (HDAC) inhibitors, that modulate global gene expression. The drug potentiates the anti-cancer activity of cytotoxic agents in a range of tumor types. The standard dosing schedule is low-dose drug for a long-duration. Recently ‘high-dose short-duration’ vorinostat in combination with chemotherapy has been shown to be well tolerated by subjects with colon cancer and leukemia. Radiation therapy kills cancer cells by inflicting DNA damage. Vorinostat potentiates radiation induced cell death (radiosensitization) through down-regulation of DNA repair. Clinical trials assessing combined low-dose vorinostat and radiation are in progress. In this proposal we investigate short-duration very high-dose vorinostat in combination with hypofractionated radiation therapy (RT) for recurrent glioma. Method: A phase I dose-escalation trial for subjects with recurrent glioma scheduled to undergo surgery followed by RT. Vorinostat will be administered both before surgery and post-operatively concurrently with RT. Tissue removed at surgery (exposed to vorinostat) will be compared with previously resected tumor from the same patient at the time of original diagnosis (unexposed to vorinostat), enabling analysis of how the drug modulates the levels of DNA repair enzymes. The overall goal of the proposal is to demonstrate the feasibility and biological rationale for this combined modality approach in recurrent glioma, laying the groundwork for a subsequent randomized phase II trial. Exploratory analyses will attempt to correlate response with DNA repair enzyme expression – a possible stratification factor in future trials.

Keywords: health sciences,cancer research,brain tumors,radiation therapy,clinical trial
The role of corporate governance in the 2008 Financial Crisis (CG&FC)

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: Spain
Call:  (FP7-PEOPLE-2011-CIG, 2011)
Start date: 2012-01-08
End date: 2016-01-07
Duration (months): 48.0
Total project cost (EUR): 100000.0
EU funding (EUR): 100000.0
Participants: 1
Project status: CLOSED

The purpose of this project is to follow up with a line of research on the role of corporate governance I started at Stanford University during my PhD at the Graduate School of Business. With the support of the Rock Center for Corporate Governance, I have explored different aspects of corporate governance and their regulatory implications. In papers coauthored with leading researchers from Stanford, Wharton and Harvard, I am exploring several aspects of the potential role of corporate governance on the financial crisis such as the role of corporate boards on risk oversight, the role of credit rating agencies and executive risk-taking incentives in the securitization process, insider trading activity around the financial crisis, the market reaction to corporate governance regulation, and the role of proxy advisory firms in stock option exchanges. Some of this work has been published or is under review at top-tier economics journals. There is still much to learn about whether the financial crisis could have been avoided or mitigated by appropriate incentives and monitoring mechanisms, and about which corporate governance practices affect outcomes important to investors. In conjunction with my American colleagues, I will keep exploring the multidimensional nature of corporate governance and financial regulation and hopefully will also keep publishing papers at leading scientific journals in the areas of Finance and Accounting. This research project is also an opportunity to strengthen the cooperation between European and American business schools in a joint effort to better understand the causes and consequences of the recent financial upheaval.

Keywords: corporate governance,regulation,executive compensation,securitization,risk management