Global burden and risk factors of type 2 diabetes mellitus from 1990 to 2021, with forecasts to 2050 by Qian Huang, Qian Huang, Yang Li, Yang Li, Minggang Yu, Minggang Yu, Minggang Yu, Zhizi Lv, Zhizi Lv, Zhizi Lv, Fengyi Lu, Fengyi Lu, Ning Xu, Ning Xu, Qingqing Zhang, Qingqing Zhang, Jiayun Shen, Jiayun Shen, Jinfeng Zhu, Hua Jiang, Hua Jiang

“…Trends from 1990 to 2021 were quantified by estimating annual percentage changes. Decomposition analysis identified the primary population-level drivers of T2DM burden changes. …”
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The model of automation of university management processes by M. I. Grachev

“…When carrying out the processes of decomposition, abstraction and aggregation, we obtain a mathematical model of a management decision. …”
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Improved Use of the Full Length of Milling-Tool Flutes in Processes of Air-Contour Milling by César García-Hernández, Juan-Jesús Valdivia-Sánchez, Pedro Ubieto-Artur, Mariano García-Arbués, Anastasios Tzotzis, Juan-José Garde-Barace, Francisco Valdivia-Calvo, José-Luis Huertas-Talón

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The Study of Large-Scale Fading Using a Wavelet Transform Method by Guizhen Lu, Zhi Cao, Xingning Jia, Jingjing Liang

“…A wavelet method is proposed to evaluate the modeling of the first- and second-order statistics of large-scale fading from the signal strength measurement. …”
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Multi-Step Natural Gas Load Forecasting Incorporating Data Complexity Analysis with Finite Features by Ning Tian, Bilin Shao, Huibin Zeng, Meng Ren, Wei Zhao, Xue Zhao, Shuqiang Wu

“…This study aims to quantify and evaluate the complexity features of natural gas loads and to develop a multi-step-ahead forecasting model that integrates data decomposition and ensemble deep learning while considering these complexity features. …”
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Estimation Method of Carbon Emissions in the Embodied Phase of Low Carbon Building by Hongwei Liu, Jun Li, Yafei Sun, Yanshu Wang, Haichun Zhao

“…Emission factor calculation method is used to establish carbon emission model for building materials. …”
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A Comparison of the Approaches to Customer Experience Analysis by Havíř David

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Correlation between night sweats and season fluctuation in China by Cai Chen, Meng Li, Fulai Peng, Danyang Lv, Xiao Ding, Chongxuan Tian, Weilian Ren, Xiangwei Meng, Tiefeng Sun, Yi Wang, Haitao Du, Fengxia Wu, Wei Li, Ping Wang

“…Meteorological factors, including ambient temperature, humidity, pressure, precipitation and average wind speed in Zhengzhou were obtained from the website https://en.tutiempo.net/climate. A time series decomposition model was used to study the relationship between night sweats and seasonality. …”
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Improved Tikhonov regularization method for load identification and structural response reconstruction by GAO Kele, YIN Hong, PENG Zhenrui

“…Secondly, the truncated randomized singular value decomposition method was used to calculate the approximate transfer matrix at the locations of the measurement points, while the total least squares method (TLSM) and the traditional Tikhonov regularization method were combined to identify the load, and then the unknown response was reconstructed by the transfer matrix at the locations. …”
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Wealth and regional disparities in child undernutrition: insights from national demographic and health survey by Lijing Tan, Muhammad Shahid, Jiayi Song, Hafiz Muhammad Naveed, Itbar Khan

“…This study employs the Concentration Index (CI) with decomposition analysis, alongside Oaxaca-Blinder decomposition as robust.ResultsThe results of the concentration index reveal that child undernutrition in Pakistan is deeply rooted in socioeconomic disparities, with household wealth contributing the largest share (45.6%) to overall inequality. …”
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Assessing cross-national inequalities and predictive trends in gout burden: a global perspective (1990–2021) by Mingyang Li, Qilong Nie, Qilin Xia, Zeping Jiang, Zeping Jiang

“…Decomposition analysis quantified the impact of demographic factors, while advanced analysis assessed the relationship between gout burden and socioeconomic development. …”
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GIS partial discharge fault diagnosis method based on SGMD-LSTM by Zhang Yun, Zhang Chao, Zhang Shiyong, Ma Pengchi, Yang Guang, Ding Hao

“…To accurately diagnose partial discharge faults in Gas Insulated Switchgear (GIS), a fault diagnosis method based on Symplectic Geometric Mode Decomposition (SGMD) and improved Long Short Term Memory (LSTM) is proposed. …”
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Joint energy efficiency and spectral efficiency optimization algorithm for UDN under the restriction of interference threshold and backhaul capacity by Xuanli WU, Xu CHEN

“…Aiming at the scenarios which consider the constraint of backhaul capacity restriction and interference threshold in ultra-dense networks (UDN),an integer linear programming (ILP) and Lagrangian dual decomposition (LDD) based joint optimization algorithm of energy efficiency and spectrum efficiency was proposed.In the proposed algorithms,the user association problem with the constraint of limited backhaul capacity was modelled as an ILP problem and then finished the connection between the user and the base station of microcell by solving this problem with dynamic programming method.Therefor,Lagrangian dual decomposition (LDD) was applied in an iteration algorithm for spectrum resource allocation and power allocation.The simulation results show that compared with traditional schemes,the proposed algorithm can significantly improve the energy efficiency and spectrum efficiency of system and use the microcell’s load capacity more efficiently.…”
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Joint energy efficiency and spectral efficiency optimization algorithm for UDN under the restriction of interference threshold and backhaul capacity by Xuanli WU, Xu CHEN

“…Aiming at the scenarios which consider the constraint of backhaul capacity restriction and interference threshold in ultra-dense networks (UDN),an integer linear programming (ILP) and Lagrangian dual decomposition (LDD) based joint optimization algorithm of energy efficiency and spectrum efficiency was proposed.In the proposed algorithms,the user association problem with the constraint of limited backhaul capacity was modelled as an ILP problem and then finished the connection between the user and the base station of microcell by solving this problem with dynamic programming method.Therefor,Lagrangian dual decomposition (LDD) was applied in an iteration algorithm for spectrum resource allocation and power allocation.The simulation results show that compared with traditional schemes,the proposed algorithm can significantly improve the energy efficiency and spectrum efficiency of system and use the microcell’s load capacity more efficiently.…”
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Goals in the Management of Regional Finances:  А Logical-Content Analysis of State Programs by R . V. Erzhenin

“…The transition to the formation of budgets on the basis of the program-target method is one of the significant achievements of the budget policy pursued in russia in terms of increasing the budget expenditures efficiency. …”
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Multiple temporal scale variation characteristics and driving factors of arid inland runoff: A case study of Urumqi River, China by Kun Liu, Yunfei Chen, Bin Wu, Fan Gao, Abdul Waheed, Fanghong Han, Yan Cao, Jie Wu, Hailiang Xu

“…Abstract：: Study region: Urumqi River, Xinjiang, China Study focus: Understanding the periodic evolution and influencing factors of runoff in arid regions is crucial for accurate hydrological modeling and effective water resource management. To explore the difference of runoff periodic characteristics between annual and monthly scales data and evaluate the mutation's impact on periodic evolution and driving factors, the classical Mann-Kendall test and cumulative anomaly curve method were used to identify Urumqi River’s runoff trends and mutation characteristics from 1978 to 2016. …”
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Extraction of Fetal Electrocardiogram by Combining Deep Learning and SVD-ICA-NMF Methods by Said Ziani, Yousef Farhaoui, Mohammed Moutaib

“…It is based on the Convolutional Neural Network (CNN) combined with advanced mathematical methods, such as Independent Component Analysis (ICA), Singular Value Decomposition (SVD), and a dimension-reduction technique like Nonnegative Matrix Factorization (NMF). …”
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Application of stochastic methods, wavelet transformations and support vectors for the study of electroencephalogram signals by Veronika V. Tolmanova, Denis A. Andrikov

“…Stochastic methods utilize probabilistic models for modeling random processes and analyzing data statistics. …”
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Underutilized Feature Extraction Methods for Burn Severity Mapping: A Comprehensive Evaluation by Linh Nguyen Van, Giha Lee

“…We applied and compared 13 different FE techniques—including linear and nonlinear methods such as PCA, t-distributed stochastic neighbor embedding (t-SNE), linear discriminant analysis (LDA), Isomap, uniform manifold approximation and projection (UMAP), factor analysis (FA), independent component analysis (ICA), multidimensional scaling (MDS), truncated singular value decomposition (TSVD), non-negative matrix factorization (NMF), locally linear embedding (LLE), spectral embedding (SE), and neighborhood components analysis (NCA). …”
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Multisensor Fault Diagnosis of Rolling Bearing with Noisy Unbalanced Data via Intuitionistic Fuzzy Weighted Least Squares Twin Support Higher-Order Tensor Machine by Shengli Dong, Yifang Zhang, Shengzheng Wang

“…Aiming at the limitations of existing multisensor fault diagnosis methods for rolling bearings in real industrial scenarios, this paper proposes an innovative intuitionistic fuzzy weighted least squares twin support higher-order tensor machine (IFW-LSTSHTM) model, which realizes a breakthrough in the noise robustness, adaptability to the working conditions, and the class imbalance processing capability. …”
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