THE FORMATION OF PROFESSIONAL COMPETENCE OF THE TEACHER OF PRESCHOOL EDUCATION IN THE SYSTEM OF ADDITIONAL EDUCATION by Galiya H. Vakhitova

“…Ways for the decision of the priority problems defined in Federal State Educational Standard of Pre-school Education (FSES PE) in a context of the polysubjective approach are shown; each participant of educational process acts as its active member. …”
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Investigating Marl Formation and their Dominant Land use and Erosion in Kermanshah Province by Mosayeb Heshmati, Hamidreza Peyrovan, Mohammad Gheitury, Majid Ahmadi Molaverdi, Ali Moradpour

“…Finally, field survey carried out for exploring details of land use and erosion features using GPS. The soil erosion features were inter-rill, rill, gully and landslide. …”
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A Local–Global Graph KAN for Multi‐Class Prediction of PPI by Minghui Liu, Ying Qu

“…Therefore, using machine learning to treat multiple PPI predictions as binary classifications has become an alternative, but there is a problem of data imbalance. The proposed GLGKAN‐PPI method integrates features from both global graphs and local subgraphs to capture the complex structural information of PPI networks comprehensively. …”
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Recognition Algorithm of AE Signal of Rock Fracture Based on Multiscale 1DCNN-BLSTM by Weihua Wang

“…In response to the interference characteristics of acoustic emission signal data, a multiscale one-dimensional convolutional neural network embedded with efficient channel attention (ECA) module was incorporated into the model, and multiscale convolutional kernels were used to extract features of different levels of precision. In the latter half of the model, the BLSTM network was incorporated to extract time series-related features, local spatial uncorrelated features, and weak periodic pattern features from the acoustic emission signal data. …”
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Parametric matrix models by Patrick Cook, Danny Jammooa, Morten Hjorth-Jensen, Daniel D. Lee, Dean Lee

“…Similar to how physics problems are usually solved, parametric matrix models learn the governing equations that lead to the desired outputs. …”
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MECFormer: Multiple Exposure Correction Transformer Based on Autoencoder by Jong-Hyeon Baek, Hyo-Jun Lee, Hanul Kim, Yeong Jun Koh

“…Second, the encoder embeds input images into multi-scale image features. Third, the dual-path aggregation decoder sequentially restores exposures by effectively aggregating multi-scale exposure features and image features. …”
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Stability of multispan rods by L. A. Baragunova, M. M. Shogenova

“…The use of the finite difference method is a feature in solving systems of equations in problems with boundary conditions.Result. …”
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Des talus pleins les yeux by Denis Delbaere, Sabine Ehrmann

“…Because of its scale, the representation of the landscape always poses daunting problems. These problems are greater in the case of urban fringes due to their indeterminate nature, the dilution of their limits and the vagueness of their territorial status in the spatial perception of societies. …”
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Multi-attribute decision-making method based on Taylor expansion by Peng Sun, Jiawei Yang, Yongfeng Zhi

“…Existing methods for determining attribute weights do not completely and effectively reflect the decision-maker’s dependency preferences, which will result in unreasonable ranking results for decision-makers. To solve this problem, this article proposes a feature-weighted multi-attribute decision-making method based on Taylor expansion. …”
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Mental disorders in antiphospholipid syndrome patients: association with clinical and immunological manifestations of the disease by А. В. Borisova, Т. А. Lisitsyna, D. Yu. Veltishchev, Т. М. Reshetnyak, О. F. Seravina, О. В. Kovalevskaya, F. А. Cheldieva, А. А. Abramkin, А. Е. Zeltyn, Е. L. Nasonov

“…The aim of this work is to clarify the association between the clinical and psychopathological features of mental disorders (MD) and the clinical and immunological features of antiphospholipid syndrome (APS).Material and methods. …”
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ON DISCRETE STRUCTURE OF GEOLOGIC MEDIUM AND CONTINUAL APPROACH TO MODELING ITS MOVEMENTS by Sh. A. Mukhamediev

“…At the same time, the structure of geologic blocks is not directly manifested in the spatial and temporal features of the recent movements in the geologic medium. …”
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DIGITAL ENTREPRENEURSHIP ASSISTANCE FOR MICRO, SMALL AND MEDIUM ENTERPRISES IN CANDI DISTRICT, SIDOARJO REGENCY by Novyandri Taufik Bahtera, Rizka Miladiah Ervianty, Andi Estetiono

“…MSME partners located in Sidoarjo have also been affected by the pandemic which has caused many goods that have been produced to sell unsold in the market. This problem is exacerbated by the inability of MSMEs to record financial reports so that business affairs are still mixed with personal matters. …”
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Co-Designing, Developing, and Testing a Mental Health Platform for Young People Using a Participatory Design Methodology in Colombia: Mixed Methods Study by Laura Ospina-Pinillos, Débora L Shambo-Rodríguez, Mónica Natalí Sánchez-Nítola, Alexandra Morales, Laura C Gallego-Sanchez, María Isabel Riaño-Fonseca, Andrea Carolina Bello-Tocancipá, Alvaro Navarro-Mancilla, Jaime A Pavlich-Mariscal, Alexandra Pomares-Quimbaya, Carlos Gómez-Restrepo, Ian B Hickie, Jo-An Occhipinti

“… BackgroundGlobally, mental health (MH) problems increasingly affect young people, contributing significantly to disability and disease. …”
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TRANSFORMATION OF СLASSIC DRAMA MOTIFS IN GAME OF THRONES SERIES / ТРАНСФОРМАЦИЯ МОТИВОВ КЛАССИЧЕСКОЙ ДРАМАТУРГИИ В СЕРИАЛЕ «ИГРА ПРЕСТОЛОВ»... by SALNIKOVA EKATERINA V. / САЛЬНИКОВА Е.В.

“…The series is devoted to problems of management strategies, interstate policy, updated gender relations. …”
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A Search-Based Domain Adaptation Network for Fault Diagnosis of Rotating Machinery Under Cross-Operating Conditions by Jiaqi Zhang, Hua Sun, Tong Yuan

“…First, we employ a wide-kernel deep residual network as a feature extractor to extract features from the data of different domains. …”
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Video-Based Sign Language Recognition via ResNet and LSTM Network by Jiayu Huang, Varin Chouvatut

“…As the number of network layers increases, the ResNet network can effectively solve the granularity explosion problem and obtain better time series features. We use the ResNet convolutional network as the backbone model. …”
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Conceptual Approaches аnd the Program of Polimas-Stability Study of Migration of Foreign Students in Russia by N. A. Shchitova, V. S. Belozerov, I. A. Soloviev

“…An analysis of the state of the theoretical and methodological base on the problem of migration of foreign students made it possible to establish the lack of elaboration of aspects related to the spatial features of their transformation and, in particular, the adaptation of foreign students in host countries. …”
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Multi-Semantic Alignment Graph Convolutional Network by Jisheng Qin, Xiaoqin Zeng, Shengli Wu, Yang Zou

“…The core of MSAGCN is the aggregation of nodes that belong to the same class from three perspectives: nodes, features, and graph structure, and expects the obtained node features to be mapped nearby. …”
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High order Interaction and Wavelet Convolution Network for visible infrared person reidentification by Li Ma, Rui Kong, XinGuan Dai

“…Furthermore, our framework uses wavelet convolution to mine more diverse features and solve the problem of insufficient feature extraction. …”
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Key technology research and model validation of text classification system based on deep learning by Shaomin WANG, Di YANG, Hua REN

“…Text classification is very important to text data mining and value exploration.The traditional text classification system has problems of weak feature extraction ability and low classification accuracy.Compared with the traditional text classification technology,deep learning technology has many advantages such as high accuracy and effective feature extraction.Therefore,it is necessary to apply deep learning technology to the text classification system to solve the problems of the traditional text classification system.The traditional text classification system was analyzed,and the architecture and key technologies of text classification system based on deep learning were proposed.Finally,several classification models were verified and compared,including the traditional classification model,TextCNN and CNN+LSTM.…”
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