ETHNIC COMPOSITION OF TERRITORIES AND THE UNIFIED STATE EXAMINATION RESULTS by L. M. Nurieva, S. G. Kiselev

“…This is mainly due to socio-economic, demographic, national-cultural and other features of the development of the territories. Therefore, an assessment of the quality of the work of the education system in the field should be carried out taking into account the available resources and conditions of school activities. …”
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DIDACTIC PRINCIPLES OF THE FORMATION OF STUDENTS’ SUBJECT POSITION by R. M. Garanina

“…The concept «student’s subject position» is redefined; the concept includes such features as polysystemacity, multidimensionality, and multi-functionality. …”
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Legal aspects of relations between the Crimean Khanate and the Ottoman Empire in views of European contemporaries. Pt. 1: Study of sources of 16th–17th cc. by Roman Pochekaev

“…The problem of legal status of the Crimean Khanate towards the Ottoman Empire attracts substantial attention of scholars and stimulates lively discussions between adherents and opponents of idea on the vassalage of Crimea. …”
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A multi-domain collaborative denoising bearing fault diagnosis model based on dynamic inter-domain attention mechanism and noise-aware loss function. by Weilin Cao, Liqiang Zhang

“…First, the model extracts high-dimensional features of bearing fault signals from multiple domains, such as time and frequency domains, aiming to enhance the richness and diversity of high-dimensional features to effectively suppress noise interference on the diagnostic results. …”
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MATHEMATICAL MODELS OF THE RADAR SIGNAL REFLECTED FROM A HELICOPTER MAIN ROTOR IN APPLICATION TO INVERSE SYNTHESIS OF ANTENNA APERTURE by Sergey R. Heister, Thai T. Nguyn

“…The basis for solving the problem of aircraft recognition is the formation of radar portraits, reflecting the constructive features of aerial vehicles. …”
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Self-regulation as a type of managerial activity. by A. Algazina

“…The comparison of self-regulation other types of regulation (such as state regulation and co-regulation) highlighted the essential features of this phenomenon and the place of self regulation in the system of public administration. …”
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System of polarization autofluorescence diagnostics of biological layers with fuzzy logic of decision support by N.I. Zabolotna, V.V. Sholota

“…The article considers a new approach to solving the problem of increasing the reliability of diagnostics of biological tissues based on a combination of azimuthally invariant polarization and fluorescence methods for diagnosing the structure of optically anisotropic tissue samples. …”
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UX-MAPPER: An automated approach to analyze app store reviews with a focus on UX by Walter T. Nakamura, Edson C. C. de Oliveira, Elaine H. T. de Oliveira, Tayana Conte

“…From the participants’ feedback, we defined a set of suggestions to extract more useful features, which can contribute to future studies involving user review analysis. …”
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Child-Sum (N2E2N)Tree-LSTMs: An interactive Child-Sum Tree-LSTMs to extract biomedical event by Lei Wang, Han Cao, Liu Yuan

“…However, the original Child-Sum Tree-LSTMs ignores edge features during aggregating the sub-nodes hidden states. …”
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Pediatric burns and the leading factors of burn injury by Abdulkadir Başaran, Özer Özlü

“…Objective: Burn trauma is an important health problem especially in children who are mostly the affected group as they are not fully capable of protecting themselves from injuries. …”
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On expansions for nonlinear systems Error estimates and convergence issues by Beauchard, Karine, Le Borgne, Jérémy, Marbach, Frédéric

“…In particular, intrinsic formulas allowing to decouple time-dependent features from geometry-dependent features of the solution have been extensively studied.First, we give a didactic review of classical expansions for formal linear differential equations, including the celebrated Magnus expansion (associated with coordinates of the first kind) and Sussmann’s infinite product expansion (associated with coordinates of the second kind). …”
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An Elderly-Oriented Form Design of Low-Speed New Energy Vehicles Based on Rough Set Theory and Support Vector Regression by Zimo Chen

“…Second, the cars’ appearances are deconstructed by morphological analysis, and the key design features affecting elderly-oriented satisfaction are identified by a rough set attribute reduction algorithm. …”
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Responsiveness to the Context: Information–Task–Situation Decisional Strategies and Electrophysiological Correlates by Angelica Daffinà, Carlotta Acconito, Michela Balconi

“…A total of 51 individuals performed a decision-making task that required participants to face real-life decision-making situations, during which an unexpected event prompted them to appraise the situation and rely on different sources of contextual features to make the best decision and manage the problem. …”
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An attention-based loss function and synthetic minority oversampling technique for alleviating class imbalance in predicting diabetes by Santanu Roy, Reshma Rachel Cherish, Gifty Roy

“…(ii) A Swish activation function is deployed in the hidden layer of DB-Lite instead of Rectified Linear Unit (ReLU) to deal with the non-linear dependency of features with the final outcome. (iii) The synthetic minority oversampling technique (SMOTE) is used as a pre-processing technique to mitigate the class imbalance problem from the Pima dataset. …”
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Modern trends in chronic pain treatment with opioid analgetics by E. S. Vvedenskaya

“…It gives the information on the possibility and features of narcotic analgesics minimal dosages use for moderate pain control. …”
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A Predictive Approach for Enhancing Accuracy in Remote Robotic Surgery Using Informer Model by Muhammad Hanif Lashari, Shakil Ahmed, Wafa Batayneh, Ashfaq Khokhar

“…The method integrates the optimization problem into the Informer model by embedding constraints such as energy efficiency, smoothness, and robustness into its training process using a differentiable optimization layer. …”
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Predicting correlation relationships of entities between attack patterns and techniques based on word embedding and graph convolutional network by Weicheng QIU, Xiuzhen CHEN, Yinghua MA, Jin MA, Zhihong ZHOU

“…Threat analysis relies on knowledge bases that contain a large number of security entities.The scope and impact of security threats and risks are evaluated by modeling threat sources, attack capabilities, attack motivations, and threat paths, taking into consideration the vulnerability of assets in the system and the security measures implemented.However, the lack of entity relations between these knowledge bases hinders the security event tracking and attack path generation.To complement entity relations between CAPEC and ATT＆amp;CK techniques and enrich threat paths, an entity correlation prediction method called WGS was proposed, in which entity descriptions were analyzed based on word embedding and a graph convolution network.A Word2Vec model was trained in the proposed method for security domain to extract domain-specific semantic features and a GCN model to capture the co-occurrence between words and sentences in entity descriptions.The relationship between entities was predicted by a Siamese network that combines these two features.The inclusion of external semantic information helped address the few-shot learning problem caused by limited entity relations in the existing knowledge base.Additionally, dynamic negative sampling and regularization was applied in model training.Experiments conducted on CAPEC and ATT＆amp;CK database provided by MITRE demonstrate that WGS effectively separates related entity pairs from irrelevant ones in the sample space and accurately predicts new entity relations.The proposed method achieves higher prediction accuracy in few-shot learning and requires shorter training time and less computing resources compared to the Bert-based text similarity prediction models.It proves that word embedding and graph convolutional network based entity relation prediction method can extract new entity correlation relationships between attack patterns and techniques.This helps to abstract attack techniques and tactics from low-level vulnerabilities and weaknesses in security threat analysis.…”
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GTrans: Generic Knowledge Graph Embedding via Multi-State Entities and Dynamic Relation Spaces by Zhen Tan, Xiang Zhao, Yang Fang, Weidong Xiao

“…Eigenstate represents the features that an entity intrinsically owns, and mimesis expresses the features that are affected by associated relations. …”
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Dynamics and Modern Temperature Regime of Calendar Summer over Stavropol Height by V. I. Volkova, G. K. Badakhova, N. A. Kravchenko, G. Kaplan

“…Some characteristic features of air temperature variations according to the observation data of the weather station Stavropol for the period of 1921 -2020 are analyzed. …”
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THE STRATEGY DEVELOPMENT OF THE REGION: THE PECULIARITIES OF THE INNOVATIVE MODELS’ FORMATION by V. V. Biryukova, V. V. Biryukov, E. V. Romanenko

“…Also the features of their place and role  formation in the process of generating and using knowledge and technology  are identified. …”
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