Control and diagnostics of faults in hardware-software complex by D. A. Pankov, L. A. Denisova

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A method to simulate multivariate outliers with known mahalanobis distances for normal and non-normal data by Oscar L. Olvera Astivia

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Optimizing Locations of Primary Schools in Rural Areas of China by Yulong Chen

“…Scientific location selection of schools is an important way to optimize the allocation of educational resources, improve the efficiency of operating schools, and realize the balanced development of education, especially in rural areas. …”
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Co-construction with deathbots: a form of existentialist practice by Zhenxing Zhang, Donghui Dou, Xiaocen Liu

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Highly Accurate Numerical Method for Solving Fractional Differential Equations with Purely Integral Conditions by Hany M. Ahmed

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Highly accurate method for solving forced Duffing equations with integral boundary conditions by H. M. Ahmed

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SOURCES OF DIFFERENCES IN CALCULATIONS AND EXPERIMENTAL TEST RESULTS OF FATIGUE LIFE OF STRUCTURAL ELEMENTS by Józef SZALA, Bogdan LIGAJ, Grzegorz SZALA

“…The mentioned analysis was illustrated with examples of fatigue life tests performed in the Machine Design Department of the University of Technology and Agriculture within the research grant no. 2221/B/T02/2010/39 financed by The Ministry of Science and Higher Education and National Science Centre.…”
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Application of Generative Adversarial Nets (GANs) in Active Sound Production System of Electric Automobiles by Kai Liang, Haijun Zhao

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ON CONCEPTUAL APPROACHES TO DIGITAL TRANSFORMATION OF THE NATIONAL ECONOMY OF BELARUS by D. M. Krupsky

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Russian Association of Endocrinologists expert consensus document on initiation and intensification of antyhyperglycaemic therapyin type 2 diabetes mellitus by Ivan Ivanovich Dedov, Marina Vladimirovna Shestakova, Alexander Sergeevich Ametov, Mikhail Borisovich Antsiferov, Gagik Radikovich Galstyan, Alexander Yur'evich Mayorov, Ashot Musaelovich Mkrtumyan, Nina Alexandrovna Petunina, Olga Yur'evna Sukhareva

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Wireless rechargeable sensor networks with separable charger array by Chengjie Xu, Rei-Heng Cheng, Tung-Kuang Wu

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Criteria for identifying acute respiratory events based on FEV1 decline in home spirometry for lung transplant patients by Yoshikazu Shinohara, Miho Yamaguchi, Muhammad Wannous, Yan Luo, Kazumichi Yamamoto, Masaaki Sato

“…This paper explores whether a new algorithm using LT-FollowUp data can detect the clinically significant FEV1 declines that predict adverse respiratory events. …”
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Multi sensor based monitoring of paralyzed using Emperor Penguin Optimizer and Deep Maxout Network by Vijaya Gunturu, J. Kavitha, Swapna Thouti, N. K. Senthil Kumar, Kamal Poon, Ayman A. Alharbi, Amar Y. Jaffar, V. Saravanan

“…A Deep Maxout Network (DMN) was used to predict the posture of a wheelchair-using patient following the feature selection phase. …”
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NEUF: Learning Point Cloud Quality by Non-Euclidean Fast Filtering by Eleonora Di Salvo, Azeddine Beghdadi, Tiziana Cattai, Chiara Lumare, Gaetano Scarano, Stefania Colonnese

“…This descriptor, along with its saliency-weighted variant, leverages Non-Euclidean Laplacian Filtering (NEUF). The NEUF algorithm extracts descriptors using advanced non-Euclidean filtering techniques and employs regression learning to predict end-users’ perceived subjective quality by optimally selecting the most relevant features. …”
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Characterization of the salivary microbiome in healthy individuals under fatigue status by Xianhui Peng, Na Han, Yanan Gong, Lihua He, Yanli Xu, Di Xiao, Tingting Zhang, Yujun Qiang, Xiuwen Li, Wen Zhang, Jianzhong Zhang

“…Taxonomic profiling revealed a significant enrichment in the relative abundance of potential periodontopathogenic genera, including Streptococcus and Filifactor, within the FTG group, concomitantly with a significant depletion of health-associated genera such as Rothia and Neisseria. A predictive model constructed using the Boruta-SHAP algorithm, based on 15 key genera, effectively discriminated between fatigue and non-fatigue states, achieving an area under the receiver operating characteristic curve (AUC) of 0.948. …”
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A Highly Accurate Approach for Aeroelastic System with Hysteresis Nonlinearity by C. C. Cui, S. X. Xie, X. C. Huang, J. K. Liu, Y. M. Chen

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Aβ status assessment in a hypothetical scenario prior to treatment with disease‐modifying therapies: Evidence from 10‐year real‐world experience at university memory clinics by Matthias Brendel, Tandis Parvizi, Johannes Gnörich, Christof Elias Topfstedt, Katharina Buerger, Daniel Janowitz, Boris‐Stephan Rauchmann, Robert Perneczky, Carolin Kurz, Dirk Mehrens, Wolfgang G. Kunz, Julia Kusche‐Palenga, Agnes Bernadette Kling, Antonia Buchal, Elizabet Nestorova, Sara Silvaieh, Raphael Wurm, Tatjana Traub‐Weidinger, Sigrid Klotz, Günther Regelsberger, Axel Rominger, Alexander Drzezga, Johannes Levin, Elisabeth Stögmann, Nicolai Franzmeier, Günter U. Höglinger

“…RESULTS In both cohorts, a CSF Aβ42/40 ratio ≥ 7.1% was associated with a low risk of a positive Aβ PET scan (negative predictive value: 94.3%). Implementing two cutoffs revealed 14% to 16% of patients with intermediate results (CSF Aβ42/40 ratio: 5.5%–7.1%), which had a strong benefit from Aβ PET imaging (44%–52% Aβ PET positivity). …”
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A Battery Electric Vehicle Transportation Network Design Model with Bounded Rational Travelers by Xu Xin, Tao Zhang, Cui Li, Yanran Liu, Lingyu Gao, Yuchuan Du

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Mapping clay fraction oxides in Brazil using Earth observation strategy by Jorge Tadeu Fim Rosas, José A.M. Demattê, Nícolas Augusto Rosin, Raul Roberto Poppiel, Nélida E.Q. Silvero, Merilyn Taynara Accorsi Amorim, Heidy S. Rodríguez-Albarracín, Letícia Guadagnin Vogel, Bruno dos Anjos Bartsch, José João Lelis Leal de Souza, Lucas de Carvalho Gomes, Danilo César de Mello

“…A dataset, comprising 5,330 sites (0–20 cm and 80–100 cm) across all 27 states was employed in prediction. Six spectral variables obtained from the historical Landsat series (bare soil) and seven terrain attributes derived from a digital elevation model were employed to generate the Fe2O3, Al2O3, and SiO2 maps, using the Random Forest algorithm. …”
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Energy Consumption Minimization for UAV-Assisted Network in Hotspot Area by Jinxi Zhang, Saidiwaerdi Maimaiti, Weidong Gao, Kaisa Zhang

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