Justification of parameters and development of layout solutions for the irrigation network of drip irrigation systems for gardens by Andrey S. Shtanko, Viktor N. Shkura

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Medical Image Segmentation Algorithm Based on Optimized Convolutional Neural Network-Adaptive Dropout Depth Calculation by Feng-Ping An, Jun-e Liu

“…Deep learning theory has good generalizability and feature extraction ability, which provides a new idea for solving medical image segmentation problems. …”
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Access control relationship prediction method based on GNN dual source learning by Dibin SHAN, Xuehui DU, Wenjuan WANG, Aodi LIU, Na WANG

“…With the rapid development and wide application of big data technology, users’ unauthorized access to resources becomes one of the main problems that restrict the secure sharing and controlled access to big data resources.The ReBAC (Relationship-Based Access Control) model uses the relationship between entities to formulate access control rules, which enhances the logical expression of policies and realizes dynamic access control.However, It still faces the problems of missing entity relationship data and complex relationship paths of rules.To overcome these problems, a link prediction model LPMDLG based on GNN dual-source learning was proposed to transform the big data entity-relationship prediction problem into a link prediction problem with directed multiple graphs.A topology learning method based on directed enclosing subgraphs was designed in this modeled.And a directed dual-radius node labeling algorithm was proposed to learn the topological structure features of nodes and subgraphs from entity relationship graphs through three segments, including directed enclosing subgraph extraction, subgraph node labeling calculation and topological structure feature learning.A node embedding feature learning method based on directed neighbor subgraph was proposed, which incorporated elements such as attention coefficients and relationship types, and learned its node embedding features through the sessions of directed neighbor subgraph extraction and node embedding feature learning.A two-source fusion scoring network was designed to jointly calculate the edge scores by topology and node embedding to obtain the link prediction results of entity-relationship graphs.The experiment results of link prediction show that the proposed model obtains better prediction results under the evaluation metrics of AUC-PR, MRR and Hits@N compared with the baseline models such as R-GCN, SEAL, GraIL and TACT.The ablation experiment results illustrate that the model’s dual-source learning scheme outperforms the link prediction effect of a single scheme.The rule matching experiment results verify that the model achieves automatic authorization of some entities and compression of the relational path of rules.The model effectively improves the effect of link prediction and it can meet the demand of big data access control relationship prediction.…”
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THE CONCEPT OF TORTURE IN CRIMINAL LAW by KOSOBOKOVA ANNA

“…The relevance of the study of the signs and legislative definition of torture is associated with the problem of an ambiguous and contradictory understanding of its essence as a legal phenomenon. …”
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Scene Matching Method for Children’s Psychological Distress Based on Deep Learning Algorithm by Junli Su

“…In the process of children’s psychological development, various levels of psychological distress often occur, such as attention problems, emotional problems, adaptation problems, language problems, and motor coordination problems; these problems have seriously affected children’s healthy growth. …”
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The Influence of Surface Doping on Adsorption Ability of Nanopowder Metal Oxides for Gas Sensors by Ya.V.В Bobitski, R.V.В Bovhyra, D.I.В Popovych, S.S.В Savka, A.S.В Serednytski, V.N.В Shevchuk, Yu.I.В Venhryn

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A community-based cross-sectional survey of young children with SARS-CoV-2 infection during the Omicron wave in Beijing, China by Ying Zhang, Huawei Mao, Hongmei Huang, Chenlu Yang

“…Previous studies from China on the clinical features of infected children have mostly focused on hospitalised cases. …”
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LIFE QUALITY AND MENTAL DISORDERS IN CANCER PATIENTS by I. Е. Kupriyanova, S. А. Tuzikov, Е. S. Gural

“…The review discusses the role of mental disorders in oncology practice, their types, prevalence and clinical features. Problems of using drugs and psychoactive substances as a factor in the development of mental disorders in cancer patients are also considered in this review. …”
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Rediscovering Recovery: Reconceptualizing Underlying Assumptions of Citizenship and Interrelated Notions of Care and Support by Caroline Vandekinderen, Griet Roets, Rudi Roose, Geert Van Hove

“…We argue that these assumptions place a burden of self-governance on citizens with mental health problems and risk producing people with mental health problems as nonrecyclable citizens. …”
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Poetics of Magical Realism in Sarah Ruhl’s сomedy “The Clean House” by A. I. Matvienko, G. A. Solopina

“…The study proves that the play "The Clean House" can be viewed in the context of magical realism, based on a number of characteristic features, such as metaphysics, conventionality, rejection of psychological explanations of the characters’ actions, the presence of two realities, distortion of space and time, existential problems. …”
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Enhanced-Similarity Attention Fusion for Unsupervised Cross-Modal Hashing Retrieval by Mingyong Li, Mingyuan Ge

“…This work suggests Enhanced Similarity Attention Fusion Hashing (ESAFH) as a remedy for these problems. Firstly, we construct a text encoder to enrich text features, an adjacency matrix is built to represent the association relationship between pairs of samples. …”
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CBSNet: An Effective Method for Potato Leaf Disease Classification by Yongdong Chen, Wenfu Liu

“…Firstly, a convolution module called Channel Reconstruction Multi-Scale Convolution (CRMC) is designed to extract the upper and lower features by separating the channel features and applying a more optimized convolution to the upper and lower features, followed by a multi-scale convolution operation to capture the key changes more effectively. …”
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Research on network traffic prediction based on Bi-GRU model by Xu Haibing, Guo Jiuming

“…At present, there are some problems such as lag and low prediction accuracy when using gated recurrent units(GRU) neural network to predict traffic. …”
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Digital-analog quantum convolutional neural networks for image classification by Anton Simen, Carlos Flores-Garrigos, Narendra N. Hegade, Iraitz Montalban, Yolanda Vives-Gilabert, Eric Michon, Qi Zhang, Enrique Solano, José D. Martín-Guerrero

“…These findings highlight the potential of digital-analog quantum convolutions in extracting complex and meaningful features from images, positioning them as a candidate model for addressing challenging classification problems.…”
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Advantages of the corporate model of the state sector of the economy of Russia by V. V. Kurchenkov, O. S. Makarenko

“…Special features of the formation of the corporate model of the public sector of the Russian economy are identified, by defining its features, principles, advantages and disadvantages of use, including the achievement of the integration effect in the process of interaction of its economic entities. …”
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Life strategies of modern young men (on the materials of a sociological research) by Nadezhda Afanasevna Frolova

“…The article considers the problems of forming life strategies in young men using the results of empirical data analysis. …”
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IMPLEMENTATION OF LANGUAGE EDUCATIONAL POLICY IN THE SOCIO-HISTORICAL CONTEXT OF THE HONG KONG SOCIETY DEVELOPMENT by I.V. Balitskaya, K.I. Zaripova

“…The article’s relevance is determined by the need to examine the background of and rationale for the government’s aim of solving the problems of a multilingual society and identifying the peculiar features of implementing language educational policy and defining its influence on the language situation as a whole. …”
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Underwater acoustic target recognition under working conditions mismatch by WANG Haitao, JIN Anqi, YANG Shuang, ZENG Xiangyang

“…Auditory features are used as inputs to the system, and knowledge distillation is utilized to learn the intrinsic connection of target features under different working conditions. …”
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Islamic Banking in Malaysia: Arbitration Resolution of Financial Disputes and Obstacles to its Spread by Elena V. Sitkareva

“…These include the specific features of the legal regulation of Malaysia, excluding the resolution of certain categories of cases by way of arbitration, and the lack of legal certainty in the submission of cross-border contracts in the field of Islamic banking to Sharia law.To achieve this goal in the article you must accomplish the following tasks: to determine whether there are institutions in Malaysia providing arbitration services for disputes in the field of Islamic banking; investigate the reasons for the unwillingness of the parties to a financial dispute to transfer it to arbitration; to identify the main problems of transferring a cross-border financial dispute to international arbitration; to study the practice of international arbitration on this issue.Methods: this article is based on an interdisciplinary concept of research, which allowed to distinguish the distinctive features of the legal regulation of the settlement of financial disputes in Malaysia.Results: currently the popularization of arbitration permits for domestic and international financial disputes in Malaysia faces difficulties due to both internal reasons and the traditional approach of Islamic banks to include in contracts the reservation of subordination of the provisions of the contract to the law of England or the United States in conjunction with the reservation clause financial disputes in the courts and arbitration of these states. …”
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Accurate and Efficient LiDAR SLAM by Learning Unified Neural Descriptors by Baihe Feng, Ying Zhang

“…Recent deep learning-based features under the existing SLAM framework can be poorly affected by error accumulation problems over time. …”
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