Global burden of low back pain from 1990 to 2021: a comprehensive analysis of risk factors and trends using the Global Burden of Disease Study 2021 by Nan Yang, Jingkai Di, Weihao Wang, Haoyu Feng

“…Additionally, we introduced the Age-Period-Cohort (APC) and decomposition analysis models to clarify the independent effects of factors such as age, period, cohort, population growth, population aging and changes in epidemiological trends on the disease burden. …”
Get full text

Trends and forecasts of vitamin A deficiency burden in China, 1990–2035 by Zhongming Ye, Junping Liu, Lijiao You, Yaoguo Han, Xiaodan Zhang, Ming Lei

“…ObjectiveThe purpose of this study was to analyze changes in the disease burden caused by vitamin A deficiency (VAD) in China from 1990 to 2021, based on the Global Burden of Disease (GBD) Database, and to predict the disease burden trend in 2035 using the Bayesian age-period-cohort (BAPC) model.MethodsBased on modeled estimates from the GBD 2021 database, this study used Joinpoint regression to calculate annual percentage change (APC) and assess long-term trends (1990–2021) in VAD burden. …”
Get full text

Burden of knee osteoarthritis in China and globally from 1992 to 2021, and projections to 2030: a systematic analysis from the Global Burden of Disease Study 2021 by Yueming Lv, Liang Sui, Hao Lv, Jiacheng Zheng, Huichao Feng, Fujie Jing

“…Finally, we predicted the burden of KOA in 2030 using the Bayesian age-period-cohort (BAPC) and Norpred models.ResultsIn 2021, the number of patients with KOA in China was 10,957,472, reflecting an increase of 157.15% compared to 1992. …”
Get full text

Does the hierarchical medical system enhance healthcare utilization and equity in China? a longitudinal study 2012–2018 by Yaxin Zhao, Xiaojing Fan, Fukun Zhu, Lili Li, Xiaofeng Zhao, Chunkai Wang, Yuan Gao

“…A multiple-period difference-in-differences method was employed to explore the impact on outpatient and inpatient utilization across socioeconomic dimensions. …”
Get full text

Global trends and health workforce analysis of breast cancer burden from high red meat consumption 1990–2050 using machine learning approach by Yuzhou Cai, Jingxian Qian

“…Age-period-cohort analysis, decomposition analysis, health inequality assessment, frontier analysis, and correlation analysis with healthcare workforce density were employed. …”
Get full text

Lignocellulosic biomass: insights into enzymatic hydrolysis, influential factors, and economic viability by Priyanka Basera, Shuchishloka Chakraborty, Neha Sharma

“…Furthermore, we explore innovative predictive models for hydrolysis, which are crucial for optimizing the conversion of LB into biofuels and bio-based chemicals. …”
Get full text

Joint QoS prediction for Web services based on deep fusion of features by Jianxun LIU, Linghang DING, Guosheng KANG, Buqing CAO, Yong XIAO

“…In order to solve the problem of insufficient accuracy of Web service QoS prediction, a joint QoS prediction method for Web services based on the deep fusion of features was proposed with considering of the hidden environmental preference information in QoS and the common features of multi-class QoS.First, QoS data was modeled as a user-service bipartite graph and multi-component graph convolution neural network was used for feature extraction and mapping, and the weighted fusion method was used for the same dimensional mapping of multi-class of QoS features.Subsequently, the attention factor decomposition machine was used to extract the first-order features, second-order interactive features, and high-order interactive features of the mapped feature vector.Finally, the results of each part were combined to achieve the joint QoS prediction.The experimental results show that the proposed method is superior to the existing QoS prediction methods in terms of root mean square error (RMSE) and average absolute error (MAE).…”
Get full text

Reliability Analysis of Three-dimensional Soil Slopes Considering Spatial Variability of Soil Parameters by Wan Yukuai, Zhou Yuqi, Shao Linlan, Wang Yuke, Zhang Fei

“…To address these limitations, this study employs the covariance matrix decomposition method to generate 3D lognormal random fields for soil parameters, enabling efficient modeling of spatial variability. …”
Get full text

Dynamic Analysis of Multi-Stepped Functionally Graded Carbon Nanotube Reinforced Composite Plate with General Boundary Condition by Kwanghun Kim, Songhun Kwak, Yonguk Ri, Yongsong Paek, Wonjin Han, Kumchol Ri

“…This study presents the multi-stepped functionally graded carbon nanotube reinforced composite (FG-CNTRC) plate model for the first time, and its free and forced vibration is analyzed by employing the domain decomposition method. …”
Get full text

Global, regional and national burden of echinococcosis in 204 countries and territories from 1990 to 2021: A systematic analysis based on the Global Burden of Disease Study 2021 by Talaiti Tuergan, Aimitaji Abulaiti, Alimu Tulahong, Ruiqing Zhang, Yingmei Shao, Tuerganaili Aji

“…The Autoregressive Integrated Moving Average (ARIMA) model and the Exponential smoothing (ES) model were used for sensitivity analysis. …”
Get full text

A role of comprehensive cervix assessment in the first trimester of pregnancy for predicting preterm delivery by V. G. Volkov, O. V. Chursina

“…Aim: to improve efficacy of predicting preterm labor in the first trimester of pregnancy by combining diverse parameters of cervical ultrasound examination.Materials and methods. A prospective cohort study of 1517 women with uncomplicated pregnancy was performed. …”
Get full text

An analysis of paediatric clinical presentations in Northwest Syria and the effect of forced displacement, 2018–2022 by Vinay Kampalath, Ms Maia C. Tarnas, Ms Vaibhavee Patel, Mohamed Hamze, Randa Loutfi, Bachir Tajaldin, Ahmad Albik, Ayman Kassas, Anas Khashata, Aula Abbara

“…After initial descriptive analyses were completed, we performed a seasonal-trend decomposition to estimate the seasonality of clinical presentations. …”
Get full text

Toward Smart Condition Monitoring of Rotatory Machines: An Optimized Probabilistic Signal Reconstruction Methodology for Fault Prediction With Multisource Uncertainties by Xiaomo Jiang, Weijian Tang, Haixin Zhao, Xueyu Cheng

“…Three signal reconstruction methods, that is, Bayesian wavelet multiscale decomposition, probabilistic principal component analysis, and auto-associative kernel regression, were seamlessly integrated to address the noise, high dimensionality, and correlation in the sensed multivariate vibration data for accurate fault prediction. …”
Get full text

Increasing incidence, prevalence, and mortality of lip and oral cavity cancer in adults aged 70 and older globally: findings from GBD 2021 by Shaoxing Chen, Xiaohuang Yang, Leijuan Huang, Yuanfu Xie, Yijiang Li, Yina Lin

“…The Bayesian age-period-cohort (BAPC) model was then applied to project future trends in the burden of LOC up until 2030. …”
Get full text

Adaptation of the modular number system in threshold secret sharing schemes by A. F. Chernyavskiy, A. I. Kazlova, V. S. Sadov, A. A. Kolyada

“…Adaptive coordination of changes in the pseudo-random parameter of the masking function with the domain of its results makes it possible to implement a minimally redundant modular decomposition of the masking function for any admissible basis of the based scheme.Conclusion. …”
Get full text

Association Between Depression and Lung Cancer Risk Among Postmenopausal Women by Yuanyuan La, Su Yon Jung, Xiaoyun Liang, Michelle J. Naughton, Michael Hendryx, Juhua Luo

“…The relationship between depression and lung cancer incidence was examined using a multivariate Cox proportional hazards regression model. A four‐way decomposition causal mediation approach was employed to investigate the potential mediating and moderating effects of smoking. …”
Get full text

Short-Term Load Forecasting Based on Similar Day Theory and BWO-VMD by Qi Cheng, Jing Shi, Siwei Cheng

“…The daily load sequence is then decomposed into high-, medium-, and low-frequency components using Variational Mode Decomposition (VMD). The high-frequency component is predicted using the similar day averaging method, while neural networks are employed for the medium and low-frequency components, leveraging historical and similar-day data, respectively. …”
Get full text

Series Expanding of the Ultrasound Transmission Coefficient Through a Multilayered Structure by Ahmed Chitnalah, Noureddine Aouzale, Hicham Jakjoud

“…Finally, our proposed method may be used, with the decomposition into Gaussian beams of a pressure field created by a circular source, to draw a 3D image of the pressure field transmitted through a multilayered structure.…”
Get full text

Blind HDR image quality assessment based on aggregating perception and inference features by Donghui Wan, Xiuhua Jiang, Qiangguo Yu

“…Our approach begins with multi-scale Retinex decomposition to generate reflectance maps with varying sensitivity, followed by the calculation of gradient similarities from these maps to model the perception process. …”
Get full text

The Detectability of Coronal Mass Ejections in the Low Corona Using Multislit Extreme-ultraviolet Spectroscopy by Lami Chan, Xianyong Bai, Hui Tian, Yufei Feng, Yu Xu, Tibor Török, Yuhang Gao, Tanmoy Samanta, Zheng Sun

“…Our findings demonstrate a strong correlation between the synthetic model spectra and the inverted results, indicating the robustness of our decomposition method and its significant potential for global monitoring of the solar corona, including CMEs.…”
Get full text