Tricaesium dimolybdate(VI) bromide

The title compound, Cs3(Mo2O7)Br, was synthesized by the reaction of CsNO3, MoO3 and 1-ethyl-3-methyl­imidazolium bromide. Its crystal structure is isotypic with K3(Mo2O7)Br and contains (MoO4)2− tetra­hedra which share an O atom to produce a [Mo2O7]2− dimolybdate(VI) anion with a linear bridging angle and m2 symmetry. The anions are linked by Cs atoms (site symmetry m2), forming sheets parallel to (001). Br atoms (site symmetry m2) are also part of this layer. Another type of Cs atom (3m site symmetry) is located in the inter­layer space and connects the layers via Cs—O and Cs—Br inter­actions into a three-dimensional array

Пьеса Т. Мидлтона и У. Роули «Оборотень» как «трагедия порока»

The article is devoted to the consideration of the motif of “lapse from virtue” based on the example of the heroine of the Renaissance revenge tragedy “The Changeling” (1622) by Thomas Middleton and William Rowley. The article identifies the key scenes of the tragedy, helping to understand the multidimensionality and allusiveness of the heroine. In the context of the relationship of the heroine to other characters in the tragedy, the authors determine and analyse the character metamorphosis and stages of the moral decay of Beatrice-Joanna. Examples of the subversion of the audience’s expectation are given. The authors examine scenes of the tragedy, which help to reveal the motifs of the double and shapeshifting, related to the image of the main character. The system of characters in the play by Middleton and Rowley is considered in the context of the most significant dramatic works of the Elizabethan and Jacobean eras.El artículo está dedicado a la consideración del motivo de la caída con el ejemplo de la imagen de la heroína principal de la sangrienta tragedia renacentista de la venganza de T. Middleton y W. Rowley (Thomas Middleton, 1580-1627, y William Rowley, 1585-1626) "El hombre lobo" (1622). El artículo identifica escenas clave del drama que ayudan a comprender la no unidimensionalidad y la alusividad de la imagen del personaje principal. En el contexto de la relación de la heroína con otros personajes del drama, los autores revelan y analizan las metamorfosis del personaje y las etapas de degradación moral de Beatrice-Joanna. Se dan los ejemplos del uso de la recepción del engaño de las expectativas del público. Los autores consideran escenas del texto del drama que ayudan a descubrir los motivos de la dualidad y a trabajar en la imagen del personaje principal. El sistema de personajes de la obra de T. Middleton y W. Rowley se considera en el contexto de las obras dramáticas más llamativas de las épocas Isabelina y Yakoviana.Статья посвящена рассмотрению мотива грехопадения на примере образа главной героини ренессансной кровавой трагедии мести Т. Мидлтона и У. Роули (Thomas Middleton, 1580-1627, and William Rowley, 1585-1626) «Оборотень» («The Changeling», 1622). В статье выявлены ключевые сцены драмы, помогающие понять неодномерность и аллюзивность образа главной героини. В контексте взаимоотношений героини с другими персонажами драмы авторы выявляют и анализируют метаморфозы характера и этапы нравственного разложения Беатрисы-Джоанны. Приведены примеры использования приема обмана зрительских ожиданий. Авторы рассматривают сцены из текста драмы, помогающие раскрыть мотивы двойничества и оборотничества, связанные с образом главной героини. Система персонажей пьесы Т. Мидлтона и У. Роули рассмотрена в контексте наиболее ярких драматических произведений Елизаветинской и Яковианской эпох

Improving the performance properties of gears for mining equipment

Deformation hardening ‐ important technological factor of management of carburized layer substructure. The formation of a favorable substructure ‐ substructure with high resistance to local microplastic deformation ‐ occurs in conditions of development of competitive processes. On a degree of their development is renders the influence of initial structural condition of a carburized layer, which, except chemical composition, is defined by technology of thermochemical treatment. To number of the factors, dependent from technology of thermochemical treatment, concern: carbon saturation in the carburized layer, the martensite morphology and carbon concentration in it, volumetric share of a redundant carbide phase and its distribution in a carburized layer

Integrated hardening of the heavily loaded gear surfaces

В работе проведено исследование режимов деформационного упрочнения поверхностей зубчатых колес из высокопрочных сталей с целью повышения их работоспособности и надежности. Исследованы закономерности изменения характеристик качества цементованного слоя, тонкой структуры его фаз и их взаимосвязь с контактной выносливостью.The deformation hardening, widely use for the increase of operability of carburized gear wheels. The plastic deformation strengthens the weak sites of the structure and complicates the microplastic deformation development in them. The efficiency of deformation hardening depends on initial structural condition of carburized layer

Studies of contribution of metals bonded with organic matter of seawater to the fluxes of total dissolved metals across water-sediment interface at Vistula Lagoon of Baltic Sea

© 2004 IEEE. Investigations of fluxes of a dissolved element across the water-sediment interface in Vistula Lagoon (Baltic Sea) were carried out in August 2001 and 2002, using chamber experiments. Oxygen, iron(II), total dissolved iron, manganese, copper and lead fluxes were calculated. For the first time the fluxes of metals bonded with organic matter of sea water were studied. The contribution of metals bonded with organic matter to the total flux was varied depending upon conditions and may reach up to 70 %. It was found that metal fluxes at the coastal zone are larger than at the center of the lagoon by the factor of 2-4

High-Entropy Diborides—Silicon Carbide Composites by Reactive and Non-Reactive Spark Plasma Sintering: A Comparative Study

The reactive spark plasma sintering (R-SPS) method was compared in this work with the two-step SHS–SPS route, based on the combination of the self-propagating high-temperature synthesis (SHS) with the SPS process, for the fabrication of dense (Hf0.2Mo0.2Ti0.2Ta0.2Nb0.2)B2–SiC and (Hf0.2Mo0.2Ti0.2Ta0.2Zr0.2)B2–SiC ceramics. A multiphase and inhomogeneous product, containing various borides, was obtained at 2000 °C/20 min by R-SPS from transition metals, B4C, and Si. In contrast, if the same precursors were first reacted by SHS and then processed by SPS under the optimized condition of 1800 °C/20 min, the desired ceramics were successfully attained. The resulting sintered samples possessed relative densities above 97% and displayed uniform microstructures with residual oxide content <2.4 wt.%. The presence of SiC made the sintering temperature milder, i.e., 150 °C below that needed by the corresponding additive-free system. The fracture toughness was also markedly improved, particularly when considering the Nb-containing system processed at 1800 °C/20 min, whereas the fracture toughness progressively decreased (from 7.35 to 5.36 MPa m1/2) as the SPS conditions became more severe. SiC addition was found to inhibit the volatilization of metal oxides like MoO3 formed during oxidation experiments, thus avoiding mass loss in the ceramics. The benefits above also likely took advantage of the fact that the two composite constituents were synthesized in parallel, according to the SHS–SPS approach, rather than being produced separately and combined subsequently, so that strong interfaces between them were formed

RESEARCH OF TWO APPROACHES TO DETECT NETWORK ATTACKS USING NEURAL NETWORK TECHNOLOGIES

Purpose. At the present stage, network attack detection systems based on the following neural networks are most often offered: multilayer perceptron, Kohonen network or self-organizing map and their combinations. The efficiency problem of two approaches to detect attacks on a computer network using neural network technology based on the normalized data of the open NSL-KDD database is considered. Methodology. As an architectural solution to the network attack detection system, it is proposed to consider the following approaches: based on one neural network determining the attack class (first approach) and an ensemble of five neural networks (second approach), which at the first stage determines the attack category (DoS, Probe, U2R , R2L), and in the second stage, the attack class belonging to a certain category. Findings. Based on the neural networks created in the MatLAB program, a study was conducted of their error on the length of the training sample using various training algorithms: Levenberg-Marquardt; Bayesian Regularization; Scaled Conjugate Gradient with different numbers of hidden neurons (minimum, average and maximum). Certain optimal parameters of neural networks with two approaches were determined. Originality. In the course of conducting experiments with various approaches, the results obtained were: TP (True Positive); FP (False Positive); FN (False Negative); TN (True Negative), based on which the following indicators were calculated for assessing the quality of solutions: correct determination of network attacks; false positives; reliability; accuracy and completeness, which prove the feasibility of using an ensemble of neural networks (second approach). Practical value. On the created neural networks with various approaches, studies were conducted: the operating time of neural networks; errors of the first kind; errors of the second kind. According to the results of the first study, the average operating time of an ensemble of neural networks is 0.92 s, and the operating time of a neural network (according to the first approach) is 2.21 s. According to the results of the second study, the error of the first kind using an ensemble of neural networks is 2.17%, and using the neural network (the first approach) – 7.39%. According to the results of the third study, the error of the second kind using an ensemble of neural networks is 3.91%, and using the neural network (the first approach) – 6.96%, which is confirmed by the efficiency of using an ensemble of neural networks (second approach)