Implicit Assessment and Argumentation by E. R. Ioanesyan

“…The article is devoted to the problem of implicitness. As an object of study, sentences with a conjunction but, sentences with a conjunction and , sentences with a quantifier word any (a quantifier of generality) and sentences with a construction of the form not important P (X ) (modus of indifference) were selected. …”
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Blood pressure characteristics in Kabardino-Balkaria schoolchildren by L. V. El’garova, A. A. El’garov

“…Age, gender, national, and climate-geographical features of BP levels were identified in KBR schoolchildren. …”
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Optimal Health Insurance and Trade-Off between Health and Wealth by Yan Zhang, Yonghong Wu

“…By taking these special features into account, we formulate the optimization problem and characterize the optimal solutions via the Lagrange multiplier method and optimal control technique. …”
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Electronic Guides on Websites of Russian Libraries: Types, Topics, Structure by N. I. Gendina, A. S. Valyalina

“…The problem of a user orientation in modern information resources is raised. …”
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Prevailing patterns of the sound speed distributions in the environment of the Southern Baltic by G. GRELOWSKA

“…The paper contains the results of experimental and theoretical research aimed at elaborating characteristic features of the acoustic conditions in the Southern Baltic. …”
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“Russia, Rossia, Rus, Kolomna: Province”: Conceptualization of Space in B. Pylnyak’s Novel “Volga Flows into Caspian Sea” by M. A. Dubova

“…The relevance of the article is due to addressing the problem of linguistic expression of world-modeling universals in a literary text. …”
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Technology and implementation of fermentative units for bioprotein production from natural gas by V. M. Kochetkov, I. S. Gaganov, V. V. Kochetkov, P. A. Nyunkov

“…An analysis of publications devoted to the problem of developing technological equipment for conducting the process of obtaining a bioprotein from natural gas is presented. …”
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APT attack threat-hunting network model based on hypergraph Transformer by Yuancheng LI, Yukun LIN

“…To solve the problem that advanced persistent threat (APT) in the Internet of things (IoT) environment had the characteristics of strong concealment, long duration, and fast update iterations, it was difficult for traditional passive detection models to quickly search, a hypergraph Transformer threat-hunting network (HTTN) was proposed.The HTTN model had the function of quickly locating and discovering APT attack traces in IoT systems with long time spans and complicated information concealment.The input cyber threat intelligence (CTI) log graph and IoT system kernel audit log graph were encoded into hypergraphs by the model, and the global information and node features of the log graph were calculated through the hypergraph neural network (HGNN) layer, and then they were extracted for hyperedge position features by the Transformer encoder, and finally the similarity score was calculated by the hyperedge, thus the threat-hunting of APT was realized in the network environment of the Internet of things system.It is shown by the experimental results in the simulation environment of the Internet of things that the mean square error is reduced by about 20% compared to mainstream graph matching neural networks, the Spearman level correlation coefficient is improved by about 0.8%, and improved precision@10 is improved by about 1.2% by the proposed HTTN model.…”
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The application of improved AFCNN model for children’s psychological emotion recognition by Feiqin Wang, Jianping Dong

“…The model initially employs a traditional Convolutional Neural Network (CNN) to extract image features and integrates an attention mechanism to enhance focus on key features, thereby improving recognition accuracy and precision. …”
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Methods for Constructing Artificial Neural Networks for Data Classification by L. V. Serebryanaya

“…The features of the organization of distance learning of students in a higher educational institution, as well as the information and educational technologies necessary for this, are considered. …”
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Smart grid stability prediction model using two-way attention based hybrid deep learning and MPSO by Umesh Kumar Lilhore, Surjeet Dalal, Magdalena Radulescu, Marinela Barbulescu

“…The proposed hybrid model utilizes a two-way attention method at its encoding and decoding stages, in which an encoding attention layer helps to recognize all the essential features from an input vector, and a decoding attention layer helps to resolve the fixed context vector problem by offering better memory capacity. …”
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A VAN-Based Multi-Scale Cross-Attention Mechanism for Skin Lesion Segmentation Network by Shuang Liu, Zeng Zhuang, Yanfeng Zheng, Simon Kolmanic

“…Although many neural networks based on U-shaped structures and methods, such as skip connections have achieved excellent results in medical image segmentation tasks, the properties of convolutional operations limit their ability to effectively learn local and global features. To address this problem, the Transformer from the field of natural language processing (NLP) was introduced to the image segmentation field. …”
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An automatic acne detection, severity, and assessment framework using generative adversarial network with deep neural network by Umara Khalid, Li Chen, Abdullah Ayub Khan, Faisal Mehmood

“…It poses a serious problem in the domain of biomedical processing and controls. …”
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Using Nearest-Neighbor Distributions to Quantify Machine Learning of Materials’ Microstructures by Jeffrey M. Rickman, Katayun Barmak, Matthew J. Patrick, Godfred Adomako Mensah

“…For example, most recently, this architecture has allowed researchers to address the long-standing problem of automated image segmentation of thin-film microstructures in bright-field TEM micrographs. …”
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River Surface Space–Time Image Velocimetry Based on Dual-Channel Residual Network by Ling Gao, Zhen Zhang, Lin Chen, Huabao Li

“…However, environmental interference often blurs weak tracer textures in STIs, limiting the accuracy of traditional MOT detection algorithms based on shallow features like images’ gray gradient. To solve this problem, we propose a deep learning-based MOT detection model using a dual-channel ResNet (DCResNet). …”
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Obtaining testimony via video conference calls from classified persons during criminal proceedings by E. A. Artamonova

“…This article discusses the features of obtaining the testimony of classified witnesses using video conferencing in pre-trial and judicial proceedings in a criminal case.Materials and methods. …”
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The phenomenon of hypertext in Internet and Philosophy of postmodernism by Petro Krasnopyorov

“…The article contains the detailed analysis of publications on the issue of hypertext and the history of investigation of this problem. The specific features which allow defining of hypertext as the brand new phenomenon are analyzed in the article. …”
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Digital education as a new pedagogical paradigm by Fatima Anzaurovna Tuguz

“…The purpose of the research is to substantiate the features of digital education as a new pedagogical paradigm and a component of state educational policy. …”
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Psychosomatic regularities of psychotic disorders of women in involution (pathogenesis, clinics, psychodynamic psychotherapy) by М. М. Pustovoyt

“…The problem of psychotic disorders with onset in the age of involution from broader perspective, guided by modern multidimensional paradigm, was never discussed before. …”
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Research on Partial Least Squares Method Based on Deep Confidence Network in Traditional Chinese Medicine by Wang-ping Xiong, Tian-ci Li, Qing-xia Zeng, Jian-qiang Du, Bin Nie, Chih-Cheng Chen, Xian Zhou

“…This method mainly uses the deep learning model to extract the upper-level features of the original data, putting the extracted features into the partial least squares model for multiple linear regression and evading the problem that selects the number of principal components, continuously adjusting the model parameters until satisfied well-pleased accuracy condition. …”
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