Predicting complications and morbidities in PAD patients through lower extremity compositions with dual-energy CT and material decomposition: a 2-year follow-up observational study by Dao-Chen Lin, Pei-Shan Tsai, Tzu-Lin Lin, Wen-Hui Huang, Yu-Peng Liu, Tung-Hsin Wu, Cheng‑Ting Shih

“…This study aims to investigate the correlation between different lower extremity compositions and development of morbidities in PAD patients. Methods Between January 2018 and December 2020, 108 subjects diagnosed of PAD were enrolled (mean age of 64.1 ± 13.5 years) and utilized dual-energy computed tomography (DECT) with material decomposition to measure the vessel volume, muscle volume, fat volume, and cortical-bone volume in lower extremity respectively. …”
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Kinetic Study of Commercial Tabletop Sweeteners Using Thermal Analysis by Naienne da Silva Santana, Sergio Neves Monteiro, Tatiana Carestiato da Silva, Michelle Gonçalves Mothé

“…The kinetic parameters were calculated using the ASTM E-698 method, indicating that the xylitol sample required the lowest energy to initiate the decomposition process. …”
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Impacts of inequalities in utilization of key maternal health service on fertility preference among high parity women in four selected regions of Ethiopia by Tigist Shumet, Nigatu Regassa Geda

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Transmission Tower Tilt State Recognition Based on Parameter Optimization of VMD-SVD and LSTM by Long ZHAO, Guanru WEN, Zhicheng LIU, Peng YUAN, Xinsheng DONG

“…In order to make the information features more obvious, the singular value decomposition (SVD) of IMF components is performed, and it is found that the singular values of each order component have more obvious differences in different states of the tower. …”
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Exploring the determinants of fertility rates in Ethiopia: a decomposition analysis using count regression models with a focus on urban and rural residence, based on the 2019 Ethio... by Birhan Ambachew Taye, Bantie Getnet Yirsaw, Aychew Kassa Belete, Belyu Yehualashet Weldearegay

“…Associations were examined using decomposition analysis and negative binomial regression. …”
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Fault Feature Extraction of Gearbox based on Adaptive VMD by Wenyao Li, Wengang Yang

“…In the noisy environment， the composite fault feature extraction is more difficult. The VMD is widely used in gearbox fault diagnosis， but it is a parametric decomposition method. …”
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Deep Learning-Based Rapid Flow Field Reconstruction Model with Limited Monitoring Point Information by Ping Wang, Guangzhong Hu, Wenli Hu, Xiangdong Xue, Jing Tao, Huabin Wen

“…Our analysis revealed that the first modal coefficient of the temperature field snapshot data, after modal decomposition, had a higher energy proportion compared to that of the velocity field snapshot data, along with a more pronounced marginal effect. …”
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An Analysis of the Driving Factors of Chinese Electricity Consumption from 1997 to 2017 by Hailin WANG, Yuyan WENG, Chenglong ZHANG

“…The logarithmic mean divisia index (LMDI) factor decomposition method is used to analyze the driving effects of economic factor, technical factor, structural factor, population factor and resident activity factor on the China's electricity consumption growth between 1997 and 2017. …”
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Constructive-destructive neighbor search drives artificial bee colony algorithm for variable speed green hybrid flowshop scheduling problem by Danying Hu, Yali Wu, Lipeng Qiu, Jiayang Mi, Yanxi Yang

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Assessing the driving forces of carbon dioxide emissions of the transport sector in Central Europe by Ammar Al-lami, Ádám Török

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Payment Subsidy and Equity in Access to Health Care: The Case of the Democratic Republic of Congo by Kasumbi Tshituka

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Advanced Trajectory Analysis of NASA’s Juno Mission Using Unsupervised Machine Learning: Insights into Jupiter’s Orbital Dynamics by Ashraf ALDabbas, Zaid Mustafa, Zoltan Gal

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Forensic taphonomy of mass graves by Vaduvesković Igor, Đurić Marija

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Trends in the global, national, and regional burden of breast cancer among adolescents and young adults from 1990 to 2021: Analyses of the 2021 global burden of disease study by Da Qian, Weimin Hong, Shujin Li, Haotian Liu, Chaoqi He, Xiaozhen Liu, Guoxin Huang, Xuli Meng, Yiwen Zheng

“…Background: This study was devised to evaluate the burden of breast cancer (BC) among adolescents and young adults (AYAs) between 1990 and 2021. Methods: BC burden among AYAs (15–39 years of age) was analyzed by examining the associated age-standardized incidence rate, age-standardized prevalence rate, age-standardized death rate, and age-standardized disability-adjusted life year (DALY) rates between 1990 and 2021 at the global, national, and regional levels, together with corresponding analyses of health inequality and decomposition analyses. …”
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Prediction of dam deformation using adaptive noise CEEMDAN and BiGRU time series modeling by WANG Zixuan, OU Bin, CHEN Dehui, YANG Shiyong, ZHAO Dingzhu, FU Shuyan

“…To address the challenges posed by system noise and strong nonlinear effects in dam deformation, this paper proposes a dam deformation monitoring model based on multi-layer integrated signal processing technology.【Method】The model uses sample entropy reconstruction and the K-means clustering algorithm to optimize the adaptive noise complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) process, generating multiple intrinsic mode functions (IMF). …”
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Construction and simulation of fiber optic stress wave sensing system based on wavelet packet-lamb wave damage imaging by X.L. Li, F. Liu, Q.N. Hui

“…The experiment demonstrated that compared to the original method in view of time correlation coefficient, the method used in this study improved the signal-to-noise ratio of damaged images by 1.0112 dB, higher accuracy, better imaging quality, and more pronounced output images. …”
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Fast Temperature Field Extrapolation Under Non-Periodic Boundary Conditions by Fengjun Wang, Yupeng Hu, Bisheng Zhang, Yuntao Zha, Xiaobing Luo

“…This study addresses these limitations by developing a novel reduced-order extrapolation method that integrates proper orthogonal decomposition (POD) with the finite volume method (FVM). …”
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Study of the possibility of using an artificial neural network to recognize and assess the contribution of individual radionuclides to the total beta spectrum by V. S. Repin

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Applying Progressive Frequency Bands to Improve Image Quality and Training Stability of GAN by Chae-Eun Lee, Sung Hoon Jung

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A Multi-Index Fusion Adaptive Cavitation Feature Extraction for Hydraulic Turbine Cavitation Detection by Yi Wang, Feng Li, Mengge Lv, Tianzhen Wang, Xiaohang Wang

“…A multi-index fusion adaptive cavitation feature extraction and cavitation detection method is proposed to solve the above problems. The number of decomposition layers in the multi-index fusion variational mode decomposition (VMD) algorithm is adaptively determined by fusing multiple indicators related to cavitation characteristics, thus retaining more cavitation information and improving the quality of cavitation feature extraction. …”
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