Effect of Co-Solvents, Modified Starch and Physical Parameters on the Solubility and Release Rate of Cryptotanshinone from Alcohologels by Justyna Kobryń, Patryk Demski, Bartosz Raszewski, Tomasz Zięba, Witold Musiał

“…The analytical methods included evaluation of CT release profiles, Fourier transform infrared spectroscopy (ATR-FTIR), differential scanning calorimetry (DSC), powder X-ray diffraction (PXRD) and electrospray ionization mass spectrometry (ESI-MS), and scanning electron microscope (SEM) images were performed. (3) Results: The release and decomposition kinetics of CT in relation to the phosphate buffer solution (PBS) and methanol were observed. …”
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Optimized CNN-Bi-LSTM–Based BCI System for Imagined Speech Recognition Using FOA-DWT by Meenakshi Bisla, Radhey Shyam Anand

“…To achieve optimal performance, the CNN-Bi-LSTM model was optimized using the Keras tuner library. …”
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Investigation and Trend Prediction of Disease Burden of Hypertensionin the Elderly Population Globally and in China from 1990 to 2021 by ZHAO Xiaoxiao, LU Xiaohui, KE Lixin, GAO Wulin, MENG Xiangran, REN Lili, DING Yunhan, ZHANG Qiang, XUN Yangqin, WU Jibiao, LU Cuncun

“…The relative impact of aging, population growth, and epidemiological changes on disease burden was analyzed using a three-factor decomposition method. Future projections for the disease burden from 2022 to 2040 were performed using a Bayesian model.ResultsFrom 1990 to 2021, both age-standardized mortality and DALYs rates for hypertension in the elderly population demonstrated a significant downward trend globally and in China (both AAPC values were negative, all P < 0.001). …”
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The global impact of non-alcoholic fatty liver disease (including cirrhosis) in the elderly from 1990 to 2021 and future projections of disease burden. by Siying Huang, Weitao Hu, Taiyong Fang

“…The Joinpoint regression model was utilized to detect turning points in the epidemiological trends of NAFLD, and decomposition analysis was performed to analyze the factors influencing these trends. …”
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Microbial community profiling for forensic drowning diagnosis across locations and submersion times by Qin Su, Xiaofeng Zhang, Xiaohui Chen, Zhonghao Yu, Weibin Wu, Qingqing Xiang, Chengliang Yang, Jian Zhao, Ling Chen, Quyi Xu, Chao Liu

“…Abstract Background Drowning diagnosis has long been a critical issue in forensic research, influenced by various factors such as the environment and decomposition time. While traditional methods such as diatom analysis have limitations in decomposed remains, microbial community profiling offers a promising alternative. …”
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Surface Roughness Prediction of Bearing Ring Precision Grinding Based on Feature Extraction by Chaoyu Shi, Bohao Chen, Yao Shi, Jun Zha

“…In order to improve the surface roughness of bearing ring grinding under multiple working conditions, a prediction model of bearing ring surface roughness based on feature extraction was proposed. …”
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Research on the volatility characteristics and evolutionary mechanism of the “Asian premium” for natural gas by Jian Chai, Mingxiao Zhao, Xiaokong Zhang, Na Li, Zhefei Zhang, Zenghui Liu

“…First, this paper used the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) model to decompose and reconstruct natural gas “Asian premium.” …”
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An efficient surface electromyography-based gesture recognition algorithm based on multiscale fusion convolution and channel attention by Bin Jiang, Hao Wu, Qingling Xia, Hanguang Xiao, Bo Peng, Li Wang, Yun Zhao

“…Therefore, the proposed RIE model possesses both lightweight computational requirements and reliable performance, providing an efficient deep learning method for gesture recognition based on sEMG.…”
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Global trends and inequities in smoking-attributable aortic aneurysm burden from 1990 to 2021 with future projections by Shuai Zhang, Zhaohui Hua, Zhen Li, Hui Cao, Shuai Cheng

“…Decomposition analysis partitioned contributions of population growth, aging, and epidemiological factors. …”
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Shared energy storage planning based on the adjustable potential of data center based on visual IOT platform by Lei Su, Wanli Feng, Haoyu Ma, Mingjiang Wei, RuoShi Gu, Ziya Chen, Junda Qin

“…Based the two-stage stochastic optimization model, a improved L-shaped algorithm is proposed to solve the planning model effectively, reducing computational complexity through problem decomposition. …”
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Optimal Planning of Terminal Locations and Capacity of UHVDC Considering Constraints of Receiving-End Power Grid Support Capability by Linlin YU, Ge YAN, Xintong YAN, Yubin MAO, Shuyu CHEN, Tiantian LI, Yunfeng WEN

“…Furthermore, the model is decomposed into a upper layer for planning and a lower layer for operation checking, and the the Benders decomposition algorithm is used to realized the iterative solution of the complex optimization model. …”
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Wellbore Stability of a Deep-Water Shallow Hydrate Reservoir Based on Strain Softening Characteristics by Wenrong Feng, Danqiong Li, Guorong Wang, Yujia Song

“…This paper therefore uses a discrete element method to establish a deep-water shallow hydrate reservoir borehole stability model and compares the discrete element numerical model with an elastoplastic analytical model of borehole stability to verify the reliability of the numerical model. …”
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Empirical Analysis on the Correlation between Low-Carbon Economy and Marine Industry Development by Jian Yang, Hui Liu

“…The decomposition analysis method of marine industry carbon emission structure based on the input-output table is adopted to analyze China’s marine industry carbon emission structure and obtain the influencing factors of marine industry carbon emission. …”
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Global, regional, and national burden of early-onset OA attributable to high BMI: 1990-2021 estimates and 2036 projections from the global burden of disease study. by Binbin Zhang, Bin Dou, Wenzuo Gu, Chuan Lu, Qi Yan, Dawa Zhaxi, Yu Wang, Jiale Xu, Kewen Li

“…Temporal trends in ASDR were quantified using the estimated annual percentage change (EAPC) and Joinpoint regression. Age-period-cohort models and decomposition analysis identified drivers of burden, while inequality was assessed using the Slope Index of Inequality (SII) and Concentration Index (CI). …”
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Remaining Useful Life Predictionmethod for Lithium-ion Batteries Based on CEEMD-AKF by CHEN Xiang, XIA Fei

“… Aiming at the problems of complex modeling and large errors in the prediction of remaining useful life (RUL) of lithium-ion batteries, a novel RUL prediction method was proposed. …”
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Wavelet-Analysis of Cardiosignals Using Matlab by B. F. Badalyan, H. A. Gomtsyan, S. G. Gomtsyan

“…For that purpose various algorithms based on either digital filtering methods or mathematical modeling of ECG signal particular sections are used. …”
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Temporal trends in prevalence and years of life lived with disability for hearing loss in China from 1990 to 2021: an analysis of the global burden of disease study 2021 by Yuhuan Sun, Yang Yi, Geyao Huang, Shihao Jiang, Yuchen Zhou, Hongkun Chen, Dahui Wang, Dahui Wang

“…The join-point regression model was employed to calculate the average annual percentage change (AAPC) in the prevalence and years of life lived with disability (YLDs) of HL. …”
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Spatiotemporal Variation and Driving Mechanisms of Carbon Budgets in Territorial Space for Typical Lake-Intensive Regions in China: A Case Study of the Dongting Lake Region by Suwen Xiong, Zhenni Xu, Fan Yang, Chuntian Gu

“…Finally, using the logarithmic mean Divisia index (LMDI) decomposition model, this study examines the driving mechanisms of carbon budgets from a territorial space perspective. …”
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Price relationships and market linkages of by-product critical metals across multiple time scales: A case study of copper and cobalt by SU Hui, WU Qiaosheng, CHENG Jinhua, ZHOU Na, BI Zhiwei

“…Based on the ensemble empirical mode decomposition, nonlinear Granger causality tests, DCC-GARCH model, and MSVAR model, the study analyzed the bidirectional price relationships, dynamic market associations, market linkage evolution, and their influencing factors across different time scales from 2008 to 2022. …”
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Shifted dominant flood drivers of an alpine glacierized catchment in the Tianshan region revealed through interpretable deep learning by Wenting Liang, Weili Duan, Yaning Chen, Gonghuan Fang, Shan Zou, Zhi Li, Zewei Qiu, Haodong Lyu

“…Two Long Short-Term Memory (LSTM) models (LSTM-SG and LSTM-DDF) were developed using these inputs, and additive decomposition and integrated gradient methods were applied to interpret flood mechanisms. …”
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