Effects of Short-Term Straw Return and Manure Fertilization on Soil Microorganisms and Soybean Yield in Parent Material of Degraded Black Soil in Northeast China by Jiahua Ding, Zhao Li, Jiali Wu, Dalong Ma, Qiang Chen, Jianye Li

“…Structural equation modeling (SEM) revealed that STR and MF directly increased soybean yield. …”
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Dynamic response of twin parallel tunnels in unsaturated soil under metro train loadings by Yiyang Liu, Guocai Wang, Yonger Ji, Siyu Jin, Tianshi Wan

“…The analytical generalized solutions were deduced by solving the governing equations for the coupled tunnel-soil system using the separation of variables method and the Helmholtz decomposition method combined with the Fourier transform technique. …”
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Global trends in chronic kidney disease mortality and disability-adjusted life years attributable to low physical activity (1990–2021): a growing public health challenge by ZhenYi Zhao, Jing Mi, HaoDong Jin, ShuaiRan Li, Xia Bai

“…This study focused on trends from 1990 to 2021 across the globe, China, five SDI regions, and four continents. Decomposition analysis, frontier analysis, and forecasting models were employed to explore changes in these indicators and their influencing factors. …”
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Quantum Heisenberg Spin Chains with Inversely Linear Correlated Disorder: Localization Effects and State Transfer Protocols by MARCONI SILVA SANTOS JUNIOR, MESSIAS DE OLIVEIRA SALES, GUILHERME M.A. ALMEIDA, FRANCISCO ANACLETO BARROS FIDELIS DE MOURA

“…The Cholesky decomposition method is employed to generate the spin-spin coupling that adheres to this correlation structure. …”
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Research on filter-based adversarial feature selection against evasion attacks by Qimeng HUANG, Miaomiao WU, Yun LI

“…With the rapid development and widespread application of machine learning technology, its security has attracted increasing attention, leading to a growing interest in adversarial machine learning.In adversarial scenarios, machine learning techniques are threatened by attacks that manipulate a small number of samples to induce misclassification, resulting in serious consequences in various domains such as spam detection, traffic signal recognition, and network intrusion detection.An evaluation criterion for filter-based adversarial feature selection was proposed, based on the minimum redundancy and maximum relevance (mRMR) method, while considering security metrics against evasion attacks.Additionally, a robust adversarial feature selection algorithm was introduced, named SDPOSS, which was based on the decomposition-based Pareto optimization for subset selection (DPOSS) algorithm.SDPOSS didn’t depend on subsequent models and effectively handles large-scale high-dimensional feature spaces.Experimental results demonstrate that as the number of decompositions increases, the runtime of SDPOSS decreases linearly, while achieving excellent classification performance.Moreover, SDPOSS exhibits strong robustness against evasion attacks, providing new insights for adversarial machine learning.…”
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Regional Differences and Dynamic Evolution of Agricultural Product Market Integration in China by Fuxing Liu, Yumeng Gu, Qin Liu

“…We use the Dagum–Gini coefficient and its decomposition and the σ convergence and β convergence models to analyze regional variations, time trends, and convergence. …”
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Biomedical Application Prospects of Gadolinium Oxide Nanoparticles for Regenerative Medicine by Ekaterina V. Silina, Natalia E. Manturova, Elena L. Chuvilina, Akhmedali A. Gasanov, Olga I. Andreeva, Maksim A. Pugachevskii, Aleksey V. Kochura, Alexey A. Kryukov, Yulia G. Suzdaltseva, Victor A. Stupin

“…Background/Objectives: The aim was to study the possibilities of biomedical application of gadolinium oxide nanoparticles (Gd₂O₃ NPs) synthesized under industrial conditions, and evaluate their physicochemical properties, redox activity, biological activity, and safety using different human cell lines. Methods: The powder of Gd₂O₃ NPs was obtained by a process of thermal decomposition of gadolinium carbonate precipitated from nitrate solution, and was studied using transmission electron microscopy (TEM), X-ray diffraction (XRD), Raman spectroscopy, mass spectrometry, and scanning electron microscopy (SEM) with energy dispersive X-ray analyzer (EDX). …”
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On the Analytical Treatment for the Fractional-Order Coupled Partial Differential Equations via Fixed Point Formulation and Generalized Fractional Derivative Operators by Saima Rashid, Sobia Sultana, Nazeran Idrees, Ebenezer Bonyah

“…In this study, a hybrid Jafari transform mixed with the Adomian decomposition method for obtaining the analytical solution to Burgers’ problem is provided. …”
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An Integrated Electricity–Gas–Heat Energy System Based on the Synergy of Long- and Short-Term Energy Storage by Min Zhang, Jinhao Wang, Huiqiang Zhi, Jun Zhao, Xiao Chang, Shifeng Zhang, Xiangyu Guo, Tengxin Wang

“…Therefore, this paper proposes an integrated energy system planning and optimization method based on hybrid energy storage. Firstly, an adaptive noise integration empirical modal decomposition method based on the optimization improvement of the grey wolf algorithm is designed for the power allocation strategy of the hybrid energy storage system; secondly, for the electric–gas system, an energy management strategy for the hybrid electric–gas energy storage system, taking into account the operating characteristics of the alkaline electrolyzer, is proposed in order to strengthen the complementary mechanism between electric energy storage and gas energy storage. …”
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Effects of Ca2+ on the Cross-linking of Sea Cucumber Collagen Fibers during Thermal Processing by Chen ZHANG, Hongyan LI, Hongxia CHE, Wancui XIE, Hang QI, Yongjun SUN, Wenming JU, Xiufang DONG

“…Subsequently, the extracted CFs were served as a simplified model, and after undergoing the same thermal processing, the contents of protein, polysaccharides and TCA soluble oligopeptides in the dissolution were determined by BCA, phenol sulfuric acid and Folin-method, respectively. …”
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Oscillation Flow of Viscous Electron Fluids in Conductors of Rectangular Cross-Section by Andriy A. Avramenko, Igor V. Shevchuk, Nataliia P. Dmitrenko, Andriy I. Tyrinov, Yiliia Y. Kovetska, Andriy S. Kobzar

“…The analytical solution is based on the series expansion solution (Fourier method) and double series solution (method of eigenfunction decomposition). …”
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Sparse Representation of Deformable 3D Organs with Spherical Harmonics and Structured Dictionary by Dan Wang, Ahmed H. Tewfik, Yingchun Zhang, Yunhe Shen

“…To test the feasibility, we first use the computer models to demonstrate that the proposed approach matches the accuracy of complex mathematical modeling techniques and then both ex vivo and in vivo experiments are conducted using 3D magnetic resonance imaging (MRI) scans for verification in practical settings. …”
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Analysis of microstructure properties of Ni-Fe MOFs and their influence on selective recognition of single and binary dye systems by Dan Xu, Xiaolin Cao, Jie Zhou, Zhihao Lin, Jing Wang, Jiatong Han, Ge Chen, Guangyang Liu, Xiaomin Xu, Yanguo Zhang, Donghui Xu

“…The adsorption kinetics followed a pseudo-second-order model, and the adsorption isotherms conformed to the Langmuir model, while Fe-MOFs and Ni/Fe(1:1) MOFs also exhibited compatibility with the Freundlich model. …”
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Computer Simulation of Stochastic Wind Velocity Fields for Structural Response Analysis: Comparisons and Applications by Filippo Ubertini, Fabio Giuliano

“…In these cases, approximate formulas must be adopted, which however require an appropriate tuning of some fundamental parameters in such a way to achieve an acceptable level of accuracy if compared to that obtained using the WAWS method. Among the different techniques available for this purpose, autoregressive (AR) filters and algorithms exploiting the proper orthogonal decomposition (POD) of the spectral matrix deserve a special attention. …”
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Global, regional, and national burden of tuberculosis due to smoking, 1990-2021: analysis for the Global Burden of Disease study by Guizeng Zhao, Yating Wu, Chen Song, Yazhou Sun, Shuzhi Zang, Feng Tian, Zhitao Gao, Zhitao Gao, Chenguang Zhang, Chenguang Zhang, Xia Wang

“…Finally, ARIMA and ES models were used to predict trends in disease burden from 2022-2050.ResultsGlobally, the number of cases and ASR of TB due to smoking have decreased over time. …”
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Global burden and health inequality of atrial fibrillation/atrial flutter from 1990 to 2021 by Xia Li, Zhen Li, Hongtao He, Sizhou Wang, Honglei Su, Guobin Kang

“…Age-standardized rates were calculated at global, regional, and country-specific levels. Decomposition and Bayesian age-period-cohort models were used to explore trends and forecast future disease burdens.ResultsIn 2021, AF/AFL contributed to 4.48 million new cases globally, with an age-standardized incidence rate (ASIR) of 52.1 per 100,000. …”
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Global, regional, and national esophageal cancer deaths and DALYs attributable to diet low in vegetables and fruits, 1990–2019: analysis for the global burden of disease study by Bing Cui, Aqin Chen, Chengcheng Xu

“…Temporal trends were assessed using linear regression models, and cluster analysis was employed to explore burden patterns across different GBD regions. …”
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Global, regional, and national burden of uterine cancer among women aged 50 years and older from 1990 to 2021: a systematic analysis for the global burden of disease study 2021 by Tingting Feng, Wei Li, Qin Wang, Jing Yang, Fujin Shen

“…This study aimed to evaluate its disease burden across regions and nations. Methods Using Global Burden of Disease 2021 data, we analyzed the incidence, mortality, disability-adjusted life years (DALYs), and trends via estimated annual percentage change (EAPC), decomposition, inequality analyses, and Bayesian Age-Period-Cohort modeling for 2022–2040 projections. …”
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Shaping local identity through public health: the role of social integration among new-generation rural migrants in urban China by Youhua Wang, Chunhong Xiao, Yushuang Zheng, Zhonglin Liu, Zhihao Jiang, Yue Li

“…This study investigates how public health influences local identity among new-generation rural migrants and examines the mediating role of social integration in this relationship, addressing a significant gap in the migration and public health literature. Methods Utilizing data from 56,014 new-generation rural migrants, this study employed ordinary least squares (OLS) and logistic regression models to assess the impact of three public health indicators—public health awareness, health records, and health education—on social integration and local identity. …”
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The influence of social class of origin on labor market entry and the mediating role of education in Italy by Davide Bussi, Carlotta Piazzoni, Marta G. Pancheva, Mario Lucchini

“…This study aims to analyze how social origin influences transition to the first job across different birth cohorts, gender groups, and macro-region of residence while also assessing the mediating role of education.MethodsUsing Event History Analysis, we estimate labor market entry timing via survival models and discrete-time logistic regression, accounting for social background effects. …”
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