THE ROLE OF THE SOCIAL-ENTREPRENEURSHIP CORPORATIONS IN KAZAKHSTAN IN THE DEVELOPMENT OF THE PUBLIC PRIVATE PARTNERSHIP MECHANISMS by A. Taubayev, B. Doskaliyeva, S. Akenov

“…The article describes the features of the establishment and functioning of the specialized institutions of the public-private partnership – the social-entrepreneurship corporations in Kazakhstan. …”
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Typical mistakes in urban landscape drawing by Markitantova Tatiana O.

“…The article reviews problems that students of architecture and restoration face in drawing urban landscapes using as an example the central districts of St. …”
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THE USE OF AN ADAPTIVE APPROACH TO IMPROVE THE MECHANISM OF MANAGEMENT OF THE FUNCTIONING OF ENTERPRISES OF THE CONSTRUCTION COMPLEX by Alexander S. Tarasov

“…The management problems of construction enterprises are constantly changing over time, so there is a need for an adaptive approach. …”
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SCIENTIFIC ANALYSIS CINEMATIC IMAGE EPILEPSY PATIENTS by M. M. Odinak, I. V. Litvinenko, V. A. Mikhailov, M. Yu. Prokudin, M. V. Selihova, V. O. Blinov, Ya. B. Skiba, T. V. Kosareva

“…The review of scientific literature has shown that epilepsy is associated with a large number of social and psychological problems. We have analyzed the cinema feature films from different countries in which different aspects of epilepsy or incorporated in the basic idea of the picture, or disclosed in a short episode. …”
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The processes of lipid peroxidation in children with the attention deficit hyperactivity disorder and different interhemispheric relations of brain by E. V. Osipova, L. A. Grebyonkina, V. I. Mikhnovich, M. I. Dolgikh

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THE EFFICIENCY ANALYSIS OF MULTI-AGENT OPTIMIZATION METHODS OF AIRCRAFT DESIGNS ELEMENTS by A. V. Panteleev, M. S. Karane

“…The work of these methods is based on the processes occurring in an environment that features many agents. Agents have the opportunity to exchange information in order to find a solution to the problem. …”
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A Mountain Summit Recognition Method Based on Improved Faster R-CNN by Yueping Kong, Yun Wang, Song Guo, Jiajing Wang

“…Mountain summits are vital topographic feature points, which are essential for understanding landform processes and their impacts on the environment and ecosystem. …”
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Creation of a Regional Edition of Ruwiki (a Case of the Komi-Language Edition) by Marina Fedina

“…Using the example of the Komi language, emerging problems, intralinguistic and extralinguistic features are analyzed. …”
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Choice of machine learning models for predicting the development of psychological disorders in people with hypothireosis and hyperthireosis by Нурал Гулієв

“…The selection of criteria took into account potential problems with medical and psychological data. The method used was linear additive convolution, which is used to select the best alternatives according to the results, with the Pareto principle, which aims to exclude less suitable alternatives because all the features have lower values than in other options. …”
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Legitimacy and legitimation of the Russian public authority by D. A. Avdeev

“…The article is devoted to the legal analysis of the legitimacy of the activities of public authorities and the process of their legitimation in the Russian Federation, as well as other problems of national democracy. The legal understanding of the concept of "people" as the only source of power and the bearer of sovereignty is considered, a distinction is made between these properties.The purpose of the article is to identify its essential features the category of legitimacy, identify problems related to the reflection of the political will of Russian citizens in the organization and activities of state authorities and local self-government. …”
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Encrypted traffic identification method based on deep residual capsule network with attention mechanism by Guozhen SHI, Kunyang LI, Yao LIU, Yongjian YANG

“…With the improvement of users’ security awareness and the development of encryption technology, encrypted traffic has become an important part of network traffic, and identifying encrypted traffic has become an important part of network traffic supervision.The encrypted traffic identification method based on the traditional deep learning model has problems such as poor effect and long model training time.To address these problems, the encrypted traffic identification method based on a deep residual capsule network (DRCN) was proposed.However, the original capsule network was stacked in the form of full connection, which lead to a small model coupling coefficient and it was impossible to build a deep network model.The DRCN model adopted the dynamic routing algorithm based on the three-dimensional convolutional algorithm (3DCNN) instead of the fully-connected dynamic routing algorithm, to reduce the parameters passed between each capsule layer, decrease the complexity of operations, and then build the deep capsule network to improve the accuracy and efficiency of recognition.The channel attention mechanism was introduced to assign different weights to different features, and then the influence of useless features on the recognition results was reduced.The introduction of the residual network into the capsule network layer and the construction of the residual capsule network module alleviated the gradient disappearance problem of the deep capsule network.In terms of data pre-processing, the first 784byte of the intercepted packets was converted into images as input of the DRCN model, to avoid manual feature extraction and reduce the labor cost of encrypted traffic recognition.The experimental results on the ISCXVPN2016 dataset show that the accuracy of the DRCN model is improved by 5.54% and the training time of the model is reduced by 232s compared with the BLSTM model with the best performance.In addition, the accuracy of the DRCN model reaches 94.3% on the small dataset.The above experimental results prove that the proposed recognition scheme has high recognition rate, good performance and applicability.…”
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Intra-landscape distribution of snow storage in the Mayma river basin (low-mountain area of the Russian Altai) by L. F. Lubenets, D. V. Chernykh

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Theoretical and Methodological Perspective on the Prerequisites of Emergence and Peculiarities of the Functioning of Decentralized Finance by M. A. Abramova, S. V. Krivoruchko, O. V. Lunyakov, A. B. Fiapshev

“…It is concluded that the process of formation and development of decentralized finance is objective and driven by changes in the monetary sphere, technological advances, and problems of traditional finance. At the same time, the stable features of DeFi determine the potential of reproduction of financial relations on a decentralized basis, but at the same time do not allow us to qualify DeFi as an independent category and institution. …”
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THE CONCEPT OF JOINT VALUE CREATION AND TRANSFORMATION OF THE BUSINESS MODEL: PECULIAR PROPERTIES OF COMPANIES DIFFERENT IN THE TYPE OF PRODUCTION AND ECONOMIC INTERACTION by E. V. Migol

“…The features of this process for different types of companies are studied. …”
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Selection of circuit and technical solutions for improvement the quality of electricity in adaptive networks with traction AC power by N. V. Savina, I. A. Lisogurskiy, L. N. Lisogurskaya

“…Determination of the features of the operation of electric networks with traction load during the transition to an active-adaptive platform. …”
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Multiview attention networks for fine-grained watershed categorization via knowledge distillation. by Huimin Gong, Cheng Zhang, Jinlin Teng, Chunqing Liu

“…With the rapid development of artificial intelligence technology, an increasing number of village-related modeling problems have been addressed. However, first, the exploration of village-related watershed fine-grained classification problems, particularly the multi-view watershed fine-grained classification problem, has been hindered by dataset collection limitations; Second, village-related modeling networks typically employ convolutional modules for attentional modeling to extract salient features, yet they lack global attentional feature modeling capabilities; Lastly, the extensive number of parameters and significant computational demands render village-related watershed fine-grained classification networks infeasible for end-device deployment. …”
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IT Equipment Automatic Configuration Method Based on Energy Consumption Prediction by CHEN Xiaojiang, HUANG Hongcong, CAI Xuelong, DING Bo

“…However, existing IT equipment energy consumption prediction methods can only capture temporal dependencies between features and cannot uncover spatial dependencies between features. …”
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EMOTION RECOGNITION USING TEXTURE ANALYSIS by A. V. Zhabinski

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Cockpit as a source of piloting errors by A. L. Rybalkina

“…The article analyzes the various problems associated with the construction of a cockpit, which can contribute to piloting errors (relative positioning and various dials, perception of warning signals, features of spatial orientation). …”
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POLITICAL AND RELIGIOUS FACTOR IN THE NORTH CAUCASUS YOUTH by Elena Vyacheslavovna Galkina, Maxim Sergeevich Matzenko

“…The article discusses the features of influence of the political and the religious factor on the youth of the North Caucasus. …”
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