Text similarity detection method based on NLP by Xiaoli DAI, Shifeng LIU, Daqing GONG

“…Current text similarity detection methods that ignore document structure information and lack semantic relevance.To solve these problems, a text-oriented similarity detection method was proposed.First, analytic hierarchy process (AHP) was used to calculate word position weight to extract feature words.Second, the Pearson correlation coefficient was used to measure semantic correlation between words which was the weight of generalized Dice coefficient to calculate similarity.Experimental results show that the proposed method can improve the precision of feature word extraction and the accuracy of similarity calculation results.…”
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Fault Diagnosis of Train Bogie Bearing Based on Multi-scale Sample Entropy Improved Extreme Learning Machine by JIN Zhenzhen, HE Deqiang, MIAO Jian, XU Weichang

“…Firstly, fault features are extracted by using the multi-scale sample entropy to form a feature vector set. …”
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The Use of Econometric Methods for Analyzing the Market of Present Day Manufactured Toys by R. V. Gavva, E. N. Lozhkomoeva

“…It is shown that specificity of industry, features of its development influence the expediency of using concrete methods, models, information technologies, ways of processing statistic information, analysis and forecast of its indices. …”
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Insulator Defect Detection in Complex Environments Based on Improved YOLOv8 by Yuxin Qin, Ying Zeng, Xin Wang

“…Insulator defect detection is important in ensuring power systems’ safety and stable operation. To solve the problems of its low accuracy, high delay, and large model size in complex environments, following the principle of progressive extraction from high-entropy details to low-entropy semantics, an improved YOLOv8 target detection network for insulator defects based on bidirectional weighted feature fusion was proposed. …”
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Broad learning system based on attention mechanism and tracking differentiator by LIAO Lüchao, ZOU Weidong, YANG Jialong, LU Huihuang, XIA Yuanqing, GAO Jianlei

“…However, it also has drawbacks such as insufficient feature learning capability and unstable generalization performance. …”
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FML-Swin: An Improved Swin Transformer Segmentor for Remote Sensing Images by Tianren Wu, Wenqin Deng, Rui Lin, Junzhe Jiang, Xueyun Chen

“…Due to the complex background, occlusion overlap and small scale target of urban remote sensing image, the semantic segmentation results have some defects such as target confusion and similarity, target boundary ambiguity, and small scale target omission. To solve the above problems, a feature-interactive fusion and multi-scale detail sensing lightweight enhanced Swin Transformer (FML-Swin) is proposed. …”
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Features of aldosterone antagonists in the treatment of patients with acute myocardial infarction with ST elevation without chronic heart failure and post-MI chronic heart failure... by V. V. Syvolap, L. V. Lukashenko, S. P. Zhemanyuk, M. P. Gerasko, L. V. Franskyavichene

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Characteristics and Features of the Circulatory System Status in Patients with Liver Cirrhosis as a Disease of Multiple Organ Lesions: Pathogenesis; Diagnostics; Principles of thei... by Farmaha M., Abrahamovych M., Ferko M.

“…Detailed study of this problem began in the twentieth century. However, despite the lengthy study, today there is no there is no final answer to the questions of pathogenesis of the circulatory system lesions in patients with cirrhosis. …”
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PFARN: Pyramid Fusion Attention and Refinement Network for Multiscale Ship Detection in SAR Images by Ke Li, Hang Yu, Suqi Li, Shanhu Chen, Bailu Wang

“…First, a shape scale convolution is used to improve the focus and extraction of mutiscale-ship features. Second, the feature maps are fused with pyramid fusion attention, which is based on self-attention and Gaussian cross-attention, ensuring alignment of both the semantic and spatial information. …”
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Machine Learning and Metaheuristics Approach for Individual Credit Risk Assessment: A Systematic Literature Review by Álex Paz, Broderick Crawford, Eric Monfroy, José Barrera-García, Álvaro Peña Fritz, Ricardo Soto, Felipe Cisternas-Caneo, Andrés Yáñez

“…These nature-inspired algorithms, derived from biological and ecological processes, align with bio-inspired principles by mimicking natural intelligence to solve complex problems in high-dimensional feature spaces. Unlike prior reviews that adopt broader scopes combining corporate, sovereign, and individual contexts, this work focuses exclusively on methodological strategies for individual credit risk. …”
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Literature review for the topic of automation of scheduling classes and exams in higher education institutions by Wadhah M Al-Gabri

“…The influence of educational systems features on the problem setting and solving methods under timetabling is considered. …”
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The improvement of tax control in the conditions of digitalization by I. A. Tsindeliani, Т. A. Guseva, A. V. Izotov

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A Complex Approach to the Study of Discretion in Law by Yu. V. Onosov

“…This article examines the positive and negative approaches to the understanding of discretion in law, formulates an author’s definition, the main features, substantiates the need for a comprehensive study of this legal phenomenon, as well as the problems that arise in law enforcement, law-making and interpretative practice, depending on the nature of legal activity. …”
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The influence of moral and ethical aspects on the organisation’s economic security by S. A. Antonov

“…The modern features of the moral and ethical values implementation in the individual’s and society’s economic life have been considered. …”
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Psychological needs and motivation of remote workers: sociological viewpoint by V. Yu. Pronin, V. V. Krivopuskov

“…The study thus confirms the applicability and value of Self-Determination Theory for explaining the features of remote work and designing optimal work organization models based on it.…”
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Issues of LNG producing companies entering the eastern markets and ways to overcome them by F. A. Ostroumov, V. Ya. Afanasiev

“…This article is  devoted to  identifying the features of   the  еastern liquefied natural gas (hereinafter referred to   as LNG) markets and new opportunities for entering them. …”
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ATTENTION DEFICIT HYPERACTIVITY DISORDER: COMORBIDITIES, EMPHASIS ON CONCURRENCE WITH EPILEPSY by O. A. Pylaeva, A. A. Shatenshtein, M. Yu. Dorofeeva, K. Yu. Mukhin

“…Attention deficit hyperactivity disorder (ADHD) is the most common cause of behavioral disorders and learning problems at preschool and school ages. Patients with ADHD are frequently found to have comorbidities that present additional diagnostic and therapeutic problems and result in an even greater decrease in quality of life in patients. …”
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Review of the monograph «Bugai N.F. Problems of the national policy of the Russian Federation: the state of study, the experience of regulating ethnic processes (1990s – 2015). – M... by Svetlana I. Akkieva, Alexey Кh. Abazov

“…Bugai. It examines the problems of the national policy of the Russian Federation in the period from the 1990s to the early 2020s. …”
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Name Entity Recognition Tasks: Technologies and Tools by Nadezhda Stanislavona Lagutina, Andrey Mikhaylovich Vasilyev, Daniil Dmitrievich Zafievsky

“…For each category the authors discuss the quality of the solution, features of the methods, problems, and limitations. …”
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Sparse Temporal Data-Driven SSA-CNN-LSTM-Based Fault Prediction of Electromechanical Equipment in Rail Transit Stations by Jing Xiong, Youchao Sun, Junzhou Sun, Yongbing Wan, Gang Yu

“…An SSA-CNN-LSTM model is then established to extract effective data features from low-dimensional data with insufficient feature depth through structures such as convolutional layers and pooling layers in a CNN, determine the optimal hyperparameters, automatically optimize the model network size, solve the problem of the difficult determination of the neural network model size, and achieve accurate prediction of the fault rate of station electromechanical equipment. …”
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