29 research outputs found

    Small Non-coding RNAs Govern Mammary Gland Tumorigenesis

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    Small non-coding RNAs include siRNA, miRNA, piRNA and snoRNA. The involvement of miRNAs in the regulation of mammary gland tumorigenesis has been widely studied while the role for other small non-coding RNAs remains unclear. Here we summarize the involvement of miRNA in breast cancer onset and progression through regulating the cell cycle and cellular proliferation. The regulation of breast cancer stem cells and tumor regeneration by miRNA is reviewed. In addition, the emerging evidence demonstrating the involvement of piRNA and snoRNA in breast cancer is briefly described

    Polymer electrolytes: Structure and transport properties

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    International audienceGlobal warming issue imposes the increase of renewable energy use in Europe by the end of 2030. However, the intermittence of renewable resources such as solar and wind requires a large scale and safer system of energy storage. Thus, one of the locks of these future systems concerns the design and development of new solid-state electrolytes 1. Several requirements need to be fulfilled for a successful candidate of polymer-based electrolytes such as high conductivity and transport number combining with excellent mechanical properties and chemical resistance. In this work, we discuss the advantages and inconveniences of different strategies to achieve high performance electrolytes. Blend of different electrolytes appears to be the simplest way to combine different properties. However, the compatibilization and micro-structuration of these blends must be optimized to obtain the desired combination of properties. A second route allows controllable microstructuration of polyelectrolytes is the synthesis of single-ion conducting block polymer 2,3 but complicated and delicate chemistry and low conductivity stay as main obstacles. Finally, an alternative promising route that received much less attention is the development of bulky salts containing macroanion with negligible mobility resulting in higher transport number 4. In all aforementioned cases, a strong relationship between structure and transport properties of polyelectrolytes was emphasized providing a handbook for polyelectrolyte design

    Polymer electrolytes: Structure and transport properties

    No full text
    International audienceGlobal warming issue imposes the increase of renewable energy use in Europe by the end of 2030. However, the intermittence of renewable resources such as solar and wind requires a large scale and safer system of energy storage. Thus, one of the locks of these future systems concerns the design and development of new solid-state electrolytes 1. Several requirements need to be fulfilled for a successful candidate of polymer-based electrolytes such as high conductivity and transport number combining with excellent mechanical properties and chemical resistance. In this work, we discuss the advantages and inconveniences of different strategies to achieve high performance electrolytes. Blend of different electrolytes appears to be the simplest way to combine different properties. However, the compatibilization and micro-structuration of these blends must be optimized to obtain the desired combination of properties. A second route allows controllable microstructuration of polyelectrolytes is the synthesis of single-ion conducting block polymer 2,3 but complicated and delicate chemistry and low conductivity stay as main obstacles. Finally, an alternative promising route that received much less attention is the development of bulky salts containing macroanion with negligible mobility resulting in higher transport number 4. In all aforementioned cases, a strong relationship between structure and transport properties of polyelectrolytes was emphasized providing a handbook for polyelectrolyte design

    Polymer electrolytes: Structure and transport properties

    No full text
    International audienceGlobal warming issue imposes the increase of renewable energy use in Europe by the end of 2030. However, the intermittence of renewable resources such as solar and wind requires a large scale and safer system of energy storage. Thus, one of the locks of these future systems concerns the design and development of new solid-state electrolytes 1. Several requirements need to be fulfilled for a successful candidate of polymer-based electrolytes such as high conductivity and transport number combining with excellent mechanical properties and chemical resistance. In this work, we discuss the advantages and inconveniences of different strategies to achieve high performance electrolytes. Blend of different electrolytes appears to be the simplest way to combine different properties. However, the compatibilization and micro-structuration of these blends must be optimized to obtain the desired combination of properties. A second route allows controllable microstructuration of polyelectrolytes is the synthesis of single-ion conducting block polymer 2,3 but complicated and delicate chemistry and low conductivity stay as main obstacles. Finally, an alternative promising route that received much less attention is the development of bulky salts containing macroanion with negligible mobility resulting in higher transport number 4. In all aforementioned cases, a strong relationship between structure and transport properties of polyelectrolytes was emphasized providing a handbook for polyelectrolyte design

    QASA : advanced document retriever for open-domain question answering by learning to rank question-aware self-attentive document representations

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    For information consumers, being able to obtain a short and accurate answer for a query is one of the most desirable features. This motivation, along with the rise of deep learning, has led to a boom in open-domain Question Answering (QA) research. While the problem of machine comprehension has received multiple success with the help of large training corpora and the emergence of attention mechanism, the development of document retrieval in open-domain QA is lagged behind. In this work, we propose a novel encoding method for learning question-aware self-attentive document representations. By applying pair-wise ranking approach to these encodings, we build a Document Retriever, called QASA, which is then integrated with a machine reader to form a complete open-domain QA system. Our system is thoroughly evaluated using QUASAR-T dataset and shows surpassing results compared to other state-of-the-art methods.Accepted versio
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