Machine Learning-Augmented Triage for Sepsis: Real-Time ICU Mortality Prediction Using SHAP-Explained Meta-Ensemble Models by Hülya Yilmaz Başer, Turan Evran, Mehmet Akif Cifci

“…Metaheuristic optimization algorithms, on the other hand, are inspired by natural phenomena, providing significant benefits related to the applicable solutions for complex optimization problems. Considering that complex optimization problems emerge across various disciplines, their successful applications are possible to be observed in tasks of classification and feature selection tasks, including diagnostic processes of certain health problems based on bio-inspiration. …”
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Risk Factors for Obesity in Adolescents of Ethnic Groups in Rural Areas of the Republic of Buryatia: a Cross-Sectional Study by Ljubov V. Rychkova, Z. G. Ajurova, A. V. Pogodina, A. S. Kosovtseva

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The Ecological Status of Livestock and Poultry in the Border Regions of Russia and South-East Finland by A. Yu. Bryukhanov, H. Huhta, E. V. Shalavina, E. A. Vorobyeva, N. S. Vasileva

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Regional industrial management of Ukraine (1957-1965): Soviet historiography (part ІІ - scientific evaluation of the reform of late 1960s - the early 1990s) by Yuliya Korobka

“…Besides, the research was all linked to enumeration of the positive and the negative features of the reform. Among the positive features were promoting the local resources and reserves, finding solutions to a number of issues concerned with integrated development of the economic regions, etc. …”
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Aspectuality and Variability of Verbal Phraseological Units in Russian Language and Speech by E. Ya. Titarenko, Yu. Yu. Balatskaya

“…The article deals with the problems of classification of verb phraseological units and their variants in the Russian language. …”
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Research on bearing fault diagnosis based on ISA-VMD and IMSE by Feng Yan

“…Abstract Aiming at the problems of difficulty in extracting vibration signal features and low recognition accuracy of bearing fault, a new fault diagnosis method based on ISSA-VMD and IMSE was proposed. …”
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Reintegration processes in education: theoretical perspective by E. G. Protsenko

“…The author analyzes Russian (reintegration of the educational space of the former USSR) and foreign experience (data from Latvia, Greece, Mexico) of reintegration processes in education. The main problems in the field of educational reintegration that need to be solved are identified: analysis of the content of all levels of education; value-semantic and organizational aspects of education in the education system, spiritual, moral and patriotic education; features of training teaching staff during the reintegration period, features of interaction between teachers and parents of students during the reintegration process; maintains national and civil identity; psychological support and skills of collective interaction during the reintegration process.…”
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Lightweight image super-resolution network based on muti-domain information enhancement by KOU Qiqi, LIU Gui, JIANG He, CHEN Liangliang, CHENG Deqiang

“…Aiming to solve the problems that the reconstruction capability of single-domain features was limited and deep convolutional neural networks used in existing single-image super-resolution reconstruction tasks were difficult to deploy on mobile terminals due to the large number of parameters and high computational requirements, a lightweight image super-resolution network based on multi-domain information enhancement was proposed. …”
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Lightweight anomaly detection model for UAV networks based on memory-enhanced autoencoders by HU Tianzhu, SHEN Yulong, REN Baoquan, HE Ji, LIU Chengliang, LI Hongjun

“…The hierarchical clustering algorithm was used to divide the composite statistical features, and the separated features were input to multiple small memory-enhanced autoencoders in the integrated architecture for independent training, which reduced the computational complexity and solved the problem of false negatives caused by the overfitting of the reconstruction effect of the traditional autoencoder. …”
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Visual Classification of Music Style Transfer Based on PSO-BP Rating Prediction Model by Tianjiao Li

“…At the same time, we take advantage of the BP neural network’s ability to handle complex nonlinear problems and construct a rating prediction model between the user and item attribute features, referred to as the PSO-BP rating prediction model, by combining the features of global optimization of particle swarm optimization algorithm, and make further improvements based on the traditional collaborative filtering algorithm.…”
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An Inductive Logical Model with Exceptional Information for Error Detection and Correction in Large Knowledge Bases by Yan Wu, Xiao Lin, Haojie Lian, Zili Zhang

“…Furthermore, an inductive logical correction method with exceptional features (EILC) is proposed to automatically correct these mistakes by learning a set of correction rules with exceptional features, in which respective metrics are provided to validate the revised triples. …”
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Non-Linear Super-Stencils for turbulence model corrections by Jonas Luther, Patrick Jenny

“…Here, we introduce the Non-Linear Super-Stencil (NLSS), that is, a compact stencil sampling local mean flow features and mapping them to a corrective force term by employing a neural network. …”
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LOCAL BUDGETS UNDER CURRENT DECENTRALIZATION: UKRAINE AND FOREIGN EXPERIENCE by O. Cheberyako, O. Ryabokon

“…The structure of tax revenue in the context of changes in the budget and tax legislation in a decentralized tax powers. Systematized features of fiscal decentralization in Ukraine. Problems and grounded main ways of optimizing the formation of local budgets in a decentralized tax powers. …”
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SUPPLY CHAIN MANAGEMENT IN RESIDENTIAL REAL ESTATE CONSTRUCTION by Hanna Doroshenko, Ihor Biletskyi, Valeriia Prokopenko

“…According to the research results, the specific features of management and the main problems of supply chain management of Ukrainian companies have been specified. …”
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Partisan Movement in Kuzbass during the Civil War of 1917-1919 by I. Yu. Uskov, A. E. Pyanov

“…The second is related to the need to rethink the features of the course of the civil war in the regions of the country and to attract the attention of scientists and society to the problems of a split in society during the crisis years.…”
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The modern face of right-wing populism in Brazil by L. S. Okuneva

“…The “Bolsonaro phenomenon” brings forward many debatable problems.…”
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Research on recommendation system based on knowledge graph and large language model enhancement by WANG Min, GAO Xiaoying, WANG Shirui, XIANG Yang

“…Large language models have excellent ability to generate and understand, and can use prompt engineering techniques to deeply analyze and mine text information, and deduce the features of commoditiy and user portraits. The features enhanced by these auxiliary information are encoded, and the representations are enhanced to align with the ID representations obtained by the graph neural network to complete the downstream recommendation task. …”
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Two-factor authentication for intellectual property transactions based on improved zero-knowledge proof by Shilong Mo, Wenlong Feng, Mengxing Huang, Siling Feng, Zheng Wang, Yunhong Li

“…Abstract In view of the problems of false property rights and difficulties in identity authentication in intellectual property transactions, an identity authentication model for intellectual property transactions based on an alliance chain is proposed. …”
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High genus surface parameterization using the Euclidean Ricci flow method by Yuan-guang Wang

“…Abstract The parameterization of surfaces, which is related to many frontier problems in mathematics, has long been a challenge for scientists and engineers. …”
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Graph-Based Topological Embedding and Deep Reinforcement Learning for Autonomous Voltage Control in Power System by Hongtao Wei, Siyu Chang, Jiaming Zhang

“…This study provides an innovative solution to voltage control problems in smart grids.…”
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