6 research outputs found

    БЛОКЧЕЙН бИТКОИН: Типология участников

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    The paper describes the classification and criteria for blockchain environment participants. The overview of the main types of blockchain participants is essential for the understanding of blockchain social and economic behaviour. It structured in the description of the several patterns which is often generated inside the Bitcoin blockchain and the list of the economic entities with the criteria of their behaviour. The paper gives the view on the different types of blockchain entities both from outside and inside the blockchain. Also, the paper lists the possible risks of criminal behaviour corresponding to every entity.El artículo describe la clasificación y los criterios para los participantes del entorno de blockchain. La descripción general de los principales tipos de participantes de blockchain es esencial para la comprensión del comportamiento social y económico de blockchain. Se estructura en la descripción de los diversos patrones que a menudo se generan dentro de la cadena de bloques de Bitcoin y la lista de las entidades económicas con los criterios de su comportamiento. El documento ofrece una vista de los diferentes tipos de entidades de blockchain tanto desde fuera como desde dentro de blockchain. Además, el documento enumera los posibles riesgos de comportamiento criminal que corresponden a cada entidad.В статье описывается классификация и критерии классификации участников блокчейн среды. Обзор основных видов блокчейн участников имеет важное значение для понимания социального и экономического поведения в блокчейн. Статья структурирована как описание нескольких моделей, которые часто возникают внутри блокчейн Биткоин и перечень хозяйствующих субъектов с критериями их поведения. В статье дается представление о различных типах блокчейн структур со взглядом как снаружи, так и внутри блокчейн. Кроме того, в документе перечислены возможные риски преступного поведения, соответствующего каждому объект

    Effect of low temperature RF plasma treatment on electrical properties of junctionless InGaAs MOSFETs

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    In this paper, we study the effect of low-temperature RF plasma treatment in forming gas (10%H2+90%N2) on the electrical characteristics of junctionless MOSFETs with n-In0.53Ga0.47As channel and an Al2O3 gate dielectric. The impact of plasma power density on the device parameters is investigated. It is found that RF plasma annealing with a low power density (0.5 W/cm2) at 150°C for 10 min provides substantial improvement of source/drain contacts resistance and the carrier mobility resulting in a considerable increase of the on-state current and transconductance. It also improves the subthreshold slope and reduces the fixed positive charge in Al2O3 under the gate, shifting the threshold voltage toward positive values. It is demonstrated that non-thermal factors play a principle role in modification of electrical properties of the JL MOSFETs under RF plasma treatment. Such treatment may be an efficient tool for the improvement of the performance of the advanced MOSFETs with III-V channel materials

    Novel candidate genes important for asthma and hypertension comorbidity revealed from associative gene networks

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    Abstract Background Hypertension and bronchial asthma are a major issue for people’s health. As of 2014, approximately one billion adults, or ~ 22% of the world population, have had hypertension. As of 2011, 235–330 million people globally have been affected by asthma and approximately 250,000–345,000 people have died each year from the disease. The development of the effective treatment therapies against these diseases is complicated by their comorbidity features. This is often a major problem in diagnosis and their treatment. Hence, in this study the bioinformatical methodology for the analysis of the comorbidity of these two diseases have been developed. As such, the search for candidate genes related to the comorbid conditions of asthma and hypertension can help in elucidating the molecular mechanisms underlying the comorbid condition of these two diseases, and can also be useful for genotyping and identifying new drug targets. Results Using ANDSystem, the reconstruction and analysis of gene networks associated with asthma and hypertension was carried out. The gene network of asthma included 755 genes/proteins and 62,603 interactions, while the gene network of hypertension - 713 genes/proteins and 45,479 interactions. Two hundred and five genes/proteins and 9638 interactions were shared between asthma and hypertension. An approach for ranking genes implicated in the comorbid condition of two diseases was proposed. The approach is based on nine criteria for ranking genes by their importance, including standard methods of gene prioritization (Endeavor, ToppGene) as well as original criteria that take into account the characteristics of an associative gene network and the presence of known polymorphisms in the analysed genes. According to the proposed approach, the genes IL10, TLR4, and CAT had the highest priority in the development of comorbidity of these two diseases. Additionally, it was revealed that the list of top genes is enriched with apoptotic genes and genes involved in biological processes related to the functioning of central nervous system. Conclusions The application of methods of reconstruction and analysis of gene networks is a productive tool for studying the molecular mechanisms of comorbid conditions. The method put forth to rank genes by their importance to the comorbid condition of asthma and hypertension was employed that resulted in prediction of 10 genes, playing the key role in the development of the comorbid condition. The results can be utilised to plan experiments for identification of novel candidate genes along with searching for novel pharmacological targets

    Novel candidate genes important for asthma and hypertension comorbidity revealed from associative gene networks

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