A mineral-strength conversion model based on LIBS technology and rapid batch testing and application of uniaxial compressive strength by Qinghe ZHANG, Xiaorui WANG, Chuanbing WANG, Weiguo LI, Fengqiang GONG, Xinsheng ZHANG, Jingguo LI

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The models and the aspiring models: assessing the sustainable rural development philosophy and reality in India through multi-dimensional indices by Sangeeta Bhattacharyya, R. R. Burman, Rabindra Nath Padaria, Sudipta Paul, Palanisamy Venkatesh, Anindita Datta, Pinaki Roy, Suchandra Dutta, Samrat Sikdar, Savita Kumari

“…Rural Health Status Index/RHSI (8 indicators), Rural Educational Status Index/RESI (6 indicators), Rural Farming Status Index/RFSI (8 indicators), Rural Infrastructure Index/RIF (40 indicators), Rural Livestock Status Index/RLSI (8 indicators), Rural Ecological Status Index/RECSI (7 indicators) and Status of Rural Women Index/SRWI (6 indicators) were developed using Categorical Principal Components Analysis method. Validation of the indices were done with 1200 respondents (n = 1200) of Model Villages and SAGY Villages of Maharashtra and Telangana states.Results and discussionThe SAGY villages of Telangana were found to have progressed more than the Models of their state in terms of educational (RESI = 0.87), farming (RFSI = 1.06), livestock (RLSI = 1.31) and ecological status (RECSI = 0.56). …”
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FE simulation of the indentation deformation of SiC modified vinylester composites in respect to their abrasive wear performance

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Modeling population size independent tissue epigenomes by ChIL‐seq with single thin sections by Kazumitsu Maehara, Kosuke Tomimatsu, Akihito Harada, Kaori Tanaka, Shoko Sato, Megumi Fukuoka, Seiji Okada, Tetsuya Handa, Hitoshi Kurumizaka, Noriko Saitoh, Hiroshi Kimura, Yasuyuki Ohkawa

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The Calculation and Analysis of the Total Electron Content Over Different Latitudes and Seasons Using the Numerical Trapezoidal and Simpson Methods by Ali Hussein Ni'ma

“…In this study, TEC calculation was performed over Baghdad city, Iraq, using a combination of two numerical methods called composite Simpson and composite Trapezoidal methods. …”
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A novel machine learning based framework for developing composite digital biomarkers of disease progression by Song Zhai, Andy Liaw, Judong Shen, Yuting Xu, Vladimir Svetnik, James J. FitzGerald, James J. FitzGerald, Chrystalina A. Antoniades, Dan Holder, Marissa F. Dockendorf, Jie Ren, Richard Baumgartner

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Fault Diagnosis of Axial Piston Pump Based on Extreme-Point Symmetric Mode Decomposition and Random Forests by Lei Yafei, Jiang Wanlu, Niu Hongjie, Shi Xiaodong, Yang Xukang

“…Aiming at fault diagnosis of axial piston pumps, a new fusion method based on the extreme-point symmetric mode decomposition method (ESMD) and random forests (RFs) was proposed. …”
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Analysis of the criteria selection problem in diversification models by Анна Бакурова, Алла Савранська, Еліна Терещенко, Дмитро Широкорад, Марк Шевчук

“…The article examines the advantages of introducing an additional criterion of entropy maximization into the criteria of the classical two-criteria model of portfolio theory, which characterizes the degree of diversity of the portfolio composition. …”
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Analysis of the criteria selection problem in diversification models by Анна Бакурова, Алла Савранська, Еліна Терещенко, Дмитро Широкорад, Марк Шевчук

“…The article examines the advantages of introducing an additional criterion of entropy maximization into the criteria of the classical two-criteria model of portfolio theory, which characterizes the degree of diversity of the portfolio composition. …”
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Analysis of the criteria selection problem in diversification models by Анна Бакурова, Алла Савранська, Еліна Терещенко, Дмитро Широкорад, Марк Шевчук

“…The article examines the advantages of introducing an additional criterion of entropy maximization into the criteria of the classical two-criteria model of portfolio theory, which characterizes the degree of diversity of the portfolio composition. …”
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Analysis of the criteria selection problem in diversification models by Анна Бакурова, Алла Савранська, Еліна Терещенко, Дмитро Широкорад, Марк Шевчук

“…The article examines the advantages of introducing an additional criterion of entropy maximization into the criteria of the classical two-criteria model of portfolio theory, which characterizes the degree of diversity of the portfolio composition. …”
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Image Characteristic-Guided Learning Method for Remote-Sensing Image Inpainting by Ying Zhou, Xiang Gao, Xinrong Wu, Fan Wang, Weipeng Jing, Xiaopeng Hu

“…Additionally, IGLL incorporates mathematical constraints into deep-learning models. A singular value decomposition (SVD) loss item is proposed to model the low-rankness characteristic, and it constrains feature consistency. …”
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DYNAMIC UNBALANCE DETECTION OF CARDAN SHATF IN HIGH-SPEED TRAIN BASED ON MODIFIED VARIATIONAL MODE DECOMPOSITION by HONG JianFeng, DING JianMing, LIN JianHui, ZHENG ShuBin

“…The Fourier spectrum of MVMD was used to detect the unbalance of Cardan shaft in high-speed train. The method and model was verified through the unbalance experiment data. …”
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Integrating Time Series Decomposition and Deep Learning: An STL-TCN-Transformer Framework for Landslide Displacement Prediction by Shuai Ren, Kamarul Hawari Ghazali

“…This study proposes an STL-TCN-Transformer model that combines time series decomposition with deep learning to predict cumulative displacement. …”
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Statistics on the Industry Structure of the Russian Economy and its Optimization Model by O. V. Morozov, M. A. Vasiliev

“…Based on the quantitative model of optimization of the industry structure, the unbalanced nature of the industry structure, the need for harmonization of the industry composition and, thus, the presence of structural reserves for economic growth of the Russian economy are shown. …”
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Forecasting Influenza Trends Using Decomposition Technique and LightGBM Optimized by Grey Wolf Optimizer Algorithm by Yonghui Duan, Chen Li, Xiang Wang, Yibin Guo, Hao Wang

“…The residual sequence from the GWO-LightGBM model was then decomposed and corrected using the Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) method, which led to the development of the GWO-LightGBM-CEEMDAN model. …”
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Optimization of fluid control laws through deep reinforcement learning using dynamic mode decomposition as the environment by T. Sakamoto, K. Okabayashi

“…In this study, we examine the feasibility of deriving an effective control law using a reduced-order model constructed by dynamic mode decomposition with control (DMDc). …”
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Generalized Logarithmic Tensor Nuclear Norm for Hyperspectral-Multispectral Image Fusion via Tensor Ring Decomposition by Jun Zhang, Mengling He, Chengzhi Deng

“…To address these issues, we propose a new HSI–MSI fusion model based on the generalized logarithmic tensor nuclear norm (GLTNN) under the TR decomposition framework. …”
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Combined CNN-BiLSTM-Att tourism flow prediction based on VMD-MWPE decomposition reconstruction by Maomao Luo, Danhong Chen, Xinxing Hou, Kang Luo, Tao Wang

“…These statistically significant improvements validate the model’s superior predictive capability for tourist flow forecasting. …”
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Investigation of the Effects of Length to Depth Ratio on Open Supersonic Cavities Using CFD and Proper Orthogonal Decomposition by Ibrahim Yilmaz, Ece Ayli, Selin Aradag

“…Two-dimensional compressible time-dependent Reynolds-averaged Navier-Stokes equations with k-ω turbulence model are solved. A reduced order modeling approach, Proper Orthogonal Decomposition (POD) method, is used to further analyze the flow. …”
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