New opportunities and challenges in financing of the enterprises of small and average business in Russian Federation by T. A. Shpilkina

“…The mechanisms of financing of the enterprises of small and average business and their main features. The possibilities and problems of development of subjects of small and average business in the current economic conditions. …”
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Epilepsy: take care of the women’s beauty from childhood by I. A. Zhidkova

“…Specific aspects of the problem are noted, the basic principles and features of the treatment of female epilepsy are shown, the problems of pregnancy planning are discussed.…”
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ST-AGRNN: A Spatio-Temporal Attention-Gated Recurrent Neural Network for Traffic State Forecasting by Jian Yang, Jinhong Li, Lu Wei, Lei Gao, Fuqi Mao

“…The localized temporal features are obtained by gated recurrent unit (GRU). …”
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Design of English Intelligent Simulated Paper Marking System by Lina Yang, Wei Liu

“…This paper also extracts word features, sentence features, and chapter structure features in essays to fit English composition scores. …”
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A Global-to-Local Spectral-Spatial Attention-Based Nonlinearity and Scaled Endmember Variability Parametric Learning Network for Unmixing by Yi Zhao, Bin Yang

“…Unfortunately, significant unmixing residuals often arise from the coupled nonlinear mixing effects and spectral variability (SV), bringing challenges for reliably solving the underlying optimization problems in practical applications. Although deep autoencoder (AE) architectures have shown advantages in learning latent unmixing features from hyperspectral data, their performance in capturing accurate spectral-spatial information and interpreting both nonlinearity and SV remains limited. …”
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PROBLEMATIC ISSUES OF COMBINED INTESTINAL INFECTIONS by V. V. Shkarin, O. A. Chubukova, A. S. Blagonravova, A. V. Sergeeva

“…The  article  presents the  possible combinations of intestinal   infections of  various   etiologies, some   pathogenetic, clinical  and  epidemiological features and  problems of epidemiological surveillance and  control  of  associated infections.  …”
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The Contact State Monitoring for Seal End Faces Based on Acoustic Emission Detection by Xiaohui Li, Pan Fu, Kan Chen, Zhibin Lin, Erqing Zhang

“…In the acoustic emission (AE) detection for mechanical seal, the main difficulty is to reduce the background noise and to classify the dispersed features. To solve these problems and achieve higher detection rates, a new approach based on genetic particle filter with autoregression (AR-GPF) and hypersphere support vector machine (HSSVM) is presented. …”
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VENTURE ECOSYSTEM IN RUSSIA AND THE UNITED STATES: A COMPARATIVE ANALYSIS by E. N. Dunenkova, E. A. Lysova

“…The aim of the research is to analyse the features of development and current state of the main elements of venture ecosystem in Russia and the United States. …”
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Uncertain data analysis algorithm based on fast Gaussian transform by Rong-hua CHI, Yuan CHENG, Su-xia ZHU, Shao-bin HUANG, De-yun CHEN

“…The effect of the uncertainties needs to be taken full advantage during uncertain data clustering.An uncertain data clustering algorithm based on fast Gaussian transform was proposed,to solve the problems about the impact on the accuracy of clustering results and the clustering efficiency caused by the uncertainties,during the construction of uncertain data models and the distance measurement,which existed in the current researches.First,the data model according to the characteristic of the uncertainty distribution was constructed,without the premise of assuming the data distribution.And the similarity between uncertain data objects was measured by combining the two important features of uncertain objects,attribute features and the probability density function representing the characteristic of uncertainty distribution.And then the uncertain data clustering algorithm was proposed.Finally,the experiment results on UCI and real datasets indicate the better efficiency and accuracy of proposed algorithm.…”
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Version v1.3.6 - PeriLab - Peridynamic Laboratory by Christian Willberg, Jan-Timo Hesse, Anna Pernatii

“…This paper introduces new features for PeriLab, a modern Peridynamics (PD) solver developed in the Julia programming language. …”
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THE CHARACTERISTIC MANIFESTATIONS OF DIGESTIVE TRACT DISORDERS IN CHILDREN WITH CONNECTIVE TISSUE DYSPLASIA by I.I. Ivanova, S. F. Gnusaev, Yu. S. Apenchenko, L. V. Kapustina, N. A. Gerasimov, I. A. Soldatova

“…The literature data on characteristic features of the clinical course of the digestive tract disorders in children with undifferentiated connective tissue dysplasia are analyzed in this review. …”
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Generative Target Tracking Method with Improved Generative Adversarial Network by Yongping Yang, Hongshun Chen

“…Multitarget tracking is prone to target loss, identity exchange, and jumping problems in the context of complex background, target occlusion, target scale, and pose transformation. …”
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Possible cosmic rays origin of periodic components in gamma-background signals by A. D. Skorbun

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Mahalanobis distance–based kernel supervised machine learning in spectral dimensionality reduction for hyperspectral imaging remote sensing by Jing Liu, Yulong Qiao

“…Dimensionality reduction has a strong influence on image classification performance with the problems of strong coupling features and high band correlation. …”
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Uncertain data analysis algorithm based on fast Gaussian transform by Rong-hua CHI, Yuan CHENG, Su-xia ZHU, Shao-bin HUANG, De-yun CHEN

“…The effect of the uncertainties needs to be taken full advantage during uncertain data clustering.An uncertain data clustering algorithm based on fast Gaussian transform was proposed,to solve the problems about the impact on the accuracy of clustering results and the clustering efficiency caused by the uncertainties,during the construction of uncertain data models and the distance measurement,which existed in the current researches.First,the data model according to the characteristic of the uncertainty distribution was constructed,without the premise of assuming the data distribution.And the similarity between uncertain data objects was measured by combining the two important features of uncertain objects,attribute features and the probability density function representing the characteristic of uncertainty distribution.And then the uncertain data clustering algorithm was proposed.Finally,the experiment results on UCI and real datasets indicate the better efficiency and accuracy of proposed algorithm.…”
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DEVELOPMENT OF ACCREDITATION IN RUSSIAN HIGHER EDUCATION: HISTORY AND FUTURE by Vladimir G. Navodnov, Galina N. Motova

“…Analyzing the experience of the development of the accreditation system as a social phenomenon the authors focus on its specific features, achievements and problems, and also outline the tendencies in its further development.…”
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Sparsity induced convex nonnegative matrix factorization algorithm with manifold regularization by Feiyue QIU, Bowen CHEN, Tieming CHEN, Guodao ZHANG

“…To address problems that the effectiveness of feature learned from real noisy data by classical nonnegative matrix factorization method,a novel sparsity induced manifold regularized convex nonnegative matrix factorization algorithm (SGCNMF) was proposed.Based on manifold regularization,the L<sub>2,1</sub>norm was introduced to the basis matrix of low dimensional subspace as sparse constraint.The multiplicative update rules were given and the convergence of the algorithm was analyzed.Clustering experiment was designed to verify the effectiveness of learned features within various of noisy environments.The empirical study based on K-means clustering shows that the sparse constraint reduces the representation of noisy features and the new method is better than the 8 similar algorithms with stronger robustness to a variable extent.…”
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Phylogenetic analysis of a 2024 Sheeppox virus isolate from the Almaty region of Kazakhstan and investigation of its pathogenicity in merino sheep by Moldir Azanbekova, Muratbay Mambetaliyev, Aisulu Valiyeva, Nurlan Kozhabergenov, Nurbek Aldayarov, Sanat Kilibayev, Bekbolat Usserbayev, Moldir Tuyskanova, Balziya Kadyrova, Balzhan Myrzakhmetova, Lespek Kutumbetov, Olga Chervyakova, Sergazy Nurabayev, Maxat Berdikulov, Aslan Kerimbayev, Aralbek Rsaliyev, Yergali Abduraimov, Kuandyk Zhugunissov

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Dynamic programming in applied tasks which are allowing to reduce the options selection by D. A. Karpov, V. I. Struchenkov

“…Possibilities are analyzed for a sharp increase in the effectiveness of using dynamic programming in solving applied problems with specific features, which allows us to refuse to split a regular grid of states and implement an algorithm for finding the optimal trajectory when rejecting not only unpromising options for paths leading to each of the states, and all of them continuations, as in R. …”
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SEM investigation of interfaces after simultaneous contact of Cu-20Ti and Cu melts with zirconia ceramic by Oleksii Durov, Tatyana Stetsyuk, Oleksandr Umanskyi, Vitaliy Krasovskyy, Olena Poliarus

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