Synergistic Artificial Intelligence framework for robust multivariate medium-term wind power prediction with uncertainty envelopes by Bo Wu, Xiuli Wang, Bangyan Wang, Yaohong Xie, Shixiong Qi, Wenduo Sun, Qihang Huang, Xiang Ma

“…The framework consists of three key components: an internal–external learning process, a vertical–horizontal learning process, and a residual-based robust forecasting method. The internal–external process combines Variational Mode Decomposition with a stacked N-BEATS model, achieving stable and accurate forecasts across nearly 200 time steps. …”
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The Evaluation of the Number and the Entropy of Spanning Trees on Generalized Small-World Networks by Raihana Mokhlissi, Dounia Lotfi, Joyati Debnath, Mohamed El Marraki, Noussaima EL Khattabi

“…We introduce their construction and their structural properties which are built in an iterative way. We propose a decomposition method for counting their number of spanning trees and we obtain the exact formulas, which are then verified by numerical simulations. …”
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Optimization of TECIS LiDAR waveform metrics for forest height estimation by Xiaojun Liang, Yong Pang, Cangjiao Wang

“…In ALS P99 regression modelling, the optimal waveform metrics model achieved a Pearson correlation coefficient (r) of 0.86 when slope was not considered. …”
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Development of a premix based on micellar casein for fortification of meat systems with vitamin A by N. A. Dzhangiryan, V. I. Shipulin, D. N. Volodin

“…The use of the casein micelles protection made it possible to increase the number of retinol molecules that did not undergo decomposition under model conditions (in vitro) from ~30% to ~80%. …”
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The Relationship Between Economic Growth and Foreign Aid: The Case of Afghanistan by Muhammad Akbar Farahmand

“…Finally, the results of variance decomposition support the result of the Granger causality test.…”
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Mechanical Behaviors of Electrostatic Microbeams with Nonideal Supports by Yunxia Chang, Qichang Zhang, Wei Wang, Jianxin Han

“…In this paper, we consider the neutral plane tension, fringing field, and nonideal boundary factors to establish a continuum model of electrostatically driven microbeam resonators. …”
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Performance optimization of electrical equipment in high-altitude photovoltaic power stations based on PSO–MOEAD algorithm by Zhijun Xiao

“…To reduce energy consumption and operation and maintenance costs, a hybrid algorithm based on particle swarm optimization and multi-objective evolutionary decomposition algorithm is proposed in this study. A multi-objective optimization model that comprehensively considers equipment performance, environmental factors, and economy is constructed by integrating voltage compensation mechanisms and thermal parameter optimization schemes. …”
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The burden dynamics of leukemia in China from 1990 to 2021: an epidemiological analysis of trends, risk factors, and projections to 2036 by Renfang Zhang, Chunyue Guo, Yifang Liang, Siyu Qing, Ziyue Liang, Yongbin Wang, Chenguang Zhang

“…Joinpoint regression identified temporal trends, while age-period-cohort (APC) models dissected age, period, and birth cohort effects. …”
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Global trend and disparity in the burden of thyroid cancer attributable to high body-mass index from 1990 to 2021 and projection to 2049: a systematic analysis based on the Global... by Ye-xin Chen, Han-zhang Hong, Zi-heng Gao, Yu-xin Hu, Ling-zi Yao, Jiang-teng Liu, Yan Zhao, Gai-weng Cui, Dan-dan Mao, Jin-xi Zhao

“…Bayesian age-period-cohort (BAPC) model was utilized to project the disease burden untill 2049. …”
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Assessing the utility of machine learning for predicting food sufficiency: a case study in Malawi by Andrew Tomes, Shahrzad Gholami, Didier Alia, Conor Hennessy, Dafeng Xu, Cecilia Bitz, Rahul Dodhia, Juan Lavista Ferres, C. Leigh Anderson

“…The Shapley additive explanation decomposition applied to the models reveals that price information is the leading contributor to model fits. …”
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Global, regional, and national burden and trends of depressive disorders among women of childbearing age from 1990 to 2021: insights from GBD 2021 by Mingjie Tang, Mingjie Tang, Yinghong Li, Jun Shao, Shiwei Li, Jiqin Tang, Zhaoming Chen

“…Moreover, this study utilized a range of analytical methods, including estimated annual percentage change (EAPC), Joinpoint regression, decomposition analysis and predictive modeling (Nordpred method).ResultsDepressive disorders in WCBA constitute a growing global health crisis, marked by a notable rise in absolute cases, accompanied by a slight downward age-standardized incidence rate (ASIR), age-standardized prevalence rate (ASPR), and age-standardized DALYs rate (ASDALYR). …”
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The disproportionate burden of pulmonary arterial hypertension among the elderly: global, regional, and national trends from 1990 to 2021—findings from the 2021 global burden of di... by Meng Tang, Xingxing Liu, Xiaoyu Hao, Zhiming Liu, Zuwei Li, Hanbin Luo, Guohui Zou, Guohui Zou

“…Analyses included decomposition, health inequality, and frontier analysis. …”
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CDWMamba: Cloud Detection with Wavelet-Enhanced Mamba for Optical Satellite Imagery by Shiyao Meng, Wei Gong, Siwei Li, Ge Song, Jie Yang, Yu Ding

“…CDWMamba adopts a four-direction Mamba module to capture long-range dependencies, while the wavelet decomposition enables multi-scale global context modeling in the frequency domain. …”
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Bearing remaining useful life prediction based on optimized VMD and BiLSTM-CBAM. by Wei Liu, Sen Liu

“…Comparative and ablation experiments are conducted on the IEEE PHM 2012 data set to evaluate the proposed method. The experimental results demonstrate that the method achieves lower Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) in bearing RUL prediction compared to the other method models and ablation methods, highlighting the superiority and effectiveness of the proposed approach. …”
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State Identification of Charging Module Based on SN‐EMD‐SSEE and DBO‐HKELM by Bingyu Li, Xianhai Pang, Xuhao Du, Ziwen Cai

“…To address this issue, this paper improved a new state identification method of charging module based on signal normalization (SN) which is specially designed, empirical mode decomposition (EMD), sequence signal entropy extraction (SSEE), hybrid kernel extreme learning machine (HKELM), and dung beetle optimization (DBO). …”
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Sociodemographic and sex differences in the global burden of hypertensive heart disease, 1990–2021: a population-based analysis by Fangfei Nie, Xiaorong Wang, Airong Yang, Jiaolong He, Jie Bai, Ping Yan, Xiaozhou Wang

“…Future rates through 2036 were projected using Bayesian age–period–cohort models. Decomposition analysis quantified contributions of population growth, aging, and epidemiologic changes, and risk-attributable DALYs were estimated for five modifiable exposures. …”
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Global, regional, and national trends in decubitus ulcer burden from 1990 to 2021 and forecasts to 2040 by Ruijuan Li, Xueneng Yang, Hanbo Chen, Minglin Dong, Jun Shu, Junfei Liu, Ming Zeng

“…Key metrics were assessed through age-standardized rates and absolute counts. Statistical methods such as decomposition analysis and Bayesian age-period-cohort modeling were employed to explore trends and disparities. …”
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Research on Hybrid Wind Speed Prediction System Based on Artificial Intelligence and Double Prediction Scheme by Ying Nie, He Bo, Weiqun Zhang, Haipeng Zhang

“…Regarding point prediction in the developed double prediction system, a novel nonlinear integration method based on a backpropagation network optimized using the multiobjective evolutionary algorithm based on decomposition was successfully implemented to derive the final prediction results, which enable further improvement of the accuracy of point prediction. …”
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Global burden on drug use disorders from 1990 to 2021 and projections to 2046 by Chen Dongying, Sun Yanyan, Li Xiaowu, Li Xiaowu, Li Xiaowu, Yin Zongyi, Yin Zongyi, Yin Zongyi

“…Frontier analysis was performed to evaluate the relationship between the burden of DUDs and socio-demographic development. The Nordpred model and Bayesian age-period-cohort (BAPC) model were introduced to forecast the burden. …”
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Kajian Dehidroksilasi Termal Kaolin menjadi Metakaolin menggunakan Analisis Termogravimetri by Aprilina Purbasari, Tjokorde Walmiki Samadhi

“…Based on the Coats and Redfern method, kaolin dehydroxylation followed first order reaction model with activation energy of 271.66 kJ/mol and pre-exponential factor of 6.13×1015 s-1. …”
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