Analysis of information security technologies for use in the enterprise infrastructure by A. D. Popov, A. D. Popova

“…The purpose of the study is to analyze modern information security technologies for solving the problems of protecting information in the enterprise infrastructure.Method. …”
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Physical development of children of the city Dnipro, patientswith cystic fibrosis by Kramarenko N.N., Ivanus S.H.

“…36 children with cystic fibrosis are inspected. Certain modern problems of children’s cystic fibrosis and questions related with warning and slowing down unfavorable consequences of illness in the future are determined. …”
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Morphological classification of digestive neuroendocrine neoplasms: the current concepts and controversies by V. V. Delektorskaya

“…However, accumulating evidence demonstrates actual controversies in the histopathology of neuroendocrine neoplasms and unreserved problems in their classification. In this review we focus on some of the common features of neuroendocrine neoplasms, their classification, and differences in pathology, biology of the main categories, and the most important immunohistochemical markers.…”
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Caractéristiques d’une supervision à distance de stagiaires en enseignement en ce qui concerne la création d’un sentiment de présence by Matthieu Petit

“…Increasingly, supervisors of these internships can use a range of ICT to limit problems caused by distance, including the isolation of the learner. …”
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Modern directions in studying adolescents’ personal agency by Levitova, Daria Юрьевна

“…The research objective is to identify modern trends in studying the adolescent’s personal agency and to describe the features of personal agency at this age based on the empirical data. …”
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The Results of Studying Spatial Perception in Children with Ophthalmopathology Using the Technique of Copying Taylor’s and Rey–Osterrieth’s Figures by S. I. Rychkova, V. G. Likhvantseva, R. I. Sandimirov

“…Thus, the method used in the work is informative, allows to identify the features of spatial perception in children with different ophthalmopathology and conduct a comparative analysis of its characteristics.…”
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Social activity of the population: spatial analysis (by the example of the Volga federal district) by T. A. Balina, Z. P. Zamaraeva, K. S. Osorgin

“…The study is based on the analysis of grant activity indicators of organizations in the subjects of the Volga Federal District, presented on the official website of the Presidential Grants Fund. Territorial features of public initiatives, their focus and problems are identified. …”
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MANS-Net: Multiple Attention-Based Nuclei Segmentation in Multi Organ Digital Cancer Histopathology Images by Ibtihaj Ahmad, Zain Ul Islam, Saleem Riaz, Fuzhong Xue

“…Since most of the information in histopathology images is in the color channels, and the remaining is in the spatial patterns, distributions, etc., these problems can be handled by considering all the associated features simultaneously. …”
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Exudate Detection for Diabetic Retinopathy Using Pretrained Convolutional Neural Networks by Muhammad Mateen, Junhao Wen, Nasrullah Nasrullah, Song Sun, Shaukat Hayat

“…Recently, deep CNNs were individually applied to solve the specific problems. But, pretrained CNN models with transfer learning can utilize the previous knowledge to solve the other related problems. …”
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Speech activity circadian rhythm disturbance in children and adolescents with hypertension by V.M. Polyakov, L.V. Rychkova, N.A. Myasishchev, Zh.V. Prokhorova, I.A. Cherevikova, S.I. Kolesnikov

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Analyzing the Development of Scientific Research in the Field of Digital Transformations by Bondarenko Dmytro V., Khaustov Mykyta M., Kalashnikova Kateryna Yu.

“…In accordance with the aim of the article, the study considers the features of bibliometric analysis as a research method that allows conducting a thorough comprehensive review of all the most influential publications in a particular subject area. …”
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Influence of f-d exchange interaction on the properties of nanoscale structures based on Fe, Co, Ni metals and rem oxides. A review by A. M. Kasumov, A. I. Dmitriev, K. A. Korotko, V. M. Karavaeva, K. O. Vyshnevska, A. I. Ievtushenko

“…The technology for the creation and structural features of these nanostructures are also considered. …”
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Locality-Preserving Multiprojection Discriminant Analysis by Jiajun Ma

“…First, the restriction on the total number of features available from LDA has seriously limited its application to problems where the feature dimension is much larger than the number of classes. …”
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Failure Analysis of Static Analysis Software Module Based on Big Data Tendency Prediction by Jian Zhu, Qian Li, Shi Ying

“…This method can learn features from original defect data, directly and efficiently extract required features of all levels from software defect data by setting different number of hidden layers, sparse regularization parameters, and noise ratio, and then classify and predict the extracted features by combining with big data. …”
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Low scaling factor Seam Carving tamper detection algorithm with hybrid attention by ZHAO Jie, CHANG Haochan, WU Bin

“…The existing seam carving tamper detection algorithms have the problems of low detection accuracy and weak robustness for the case of low scaling factor. …”
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A Visual Measurement Method for Large-Sized Parts by Junkai Yang

“…The method utilizes the edge detection pixel point data of the part image for searching and region localization of line and circle features in the image with a modified Hough transform; A geometric calculation is used to compute the coordinates of the point cloud within the feature area; Drawing on the idea of graph neural network, the priori knowledge of machining is utilized to establish the correlation of related dimensional features in the part drawing, and this is used to propose a model of dimensional validation and correction by the combination of different features. …”
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BPFun: a deep learning framework for bioactive peptide function prediction using multi-label strategy by transformer-driven and sequence rich intrinsic information by Lun Zhu, Hao Sun, Sen Yang

“…Meanwhile, adopting data augmentation to solve the problem of data imbalance. We combine convolutional networks of different scales and Bi-LSTM layers to obtain high-level feature vectors of different features. …”
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Variable selection in omics data: A practical evaluation of small sample sizes. by Alexander Kirpich, Elizabeth A Ainsworth, Jessica M Wedow, Jeremy R B Newman, George Michailidis, Lauren M McIntyre

“…In omics experiments, variable selection involves a large number of metabolites/ genes and a small number of samples (the n < p problem). The ultimate goal is often the identification of one, or a few features that are different among conditions- a biomarker. …”
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Lightweight Human Behavior Recognition Method for Visual Communication AGV Based on CNN-LSTM by Shuhua Zhao, Jianxin Zhu, Jiang Lu, Zhibo Ju, Dong Wu

“…Behavior recognition uses deep learning network model to automatically extract the deep features of data, but traditional machine learning algorithms have some problems such as manual feature extraction and poor generalization ability of models. …”
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CREATION OF MINI-FACTORIES FOR THE LONG STEEL PRODUCTION by R. V. Sementsul

“…The economic and technical problems on creation of metallurgical mini-plants for production of high-quality bar of construction purpose with productivity of 100–200 thousand tons per year are considered in the article. …”
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