An Improved Wavelet Soft-Threshold Function Integrated with SVMD Dual-Parameter Joint Denoising for Ancient Building Deformation Monitoring by Jiaxing Zhao, Houzeng Han, Yang Deng, Youqiang Dong, Jian Wang, Wenjin Chen

“…This study integrates sequential variational mode decomposition (SVMD), a dual-parameter (DP) model, and an improved wavelet threshold function (IWT), presenting a denoising method termed SVMD-DP-IWT. …”
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Composition Design and Property Prediction for AlCoCrCuFeNi High-Entropy Alloy Based on Machine Learning by Cuixia Liu, Meng Meng, Xian Luo

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Facile Synthesis of Composite Chitosan and Durio zibethinus Seed and Its Applications as Adsorbent of Metal Ion Ni(II) by Silvia Devi Eka Putri, Sri Mulijani, Komar Sutriah

“…The nickel ion adsorption process by composite adsorbent shows a pattern in the Temkin isotherm model. …”
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Evolution and drivers of water use in Northern China by Xiaokang Zheng, Chao Ma, Hong Lv, Fang Wan, Hao Wang

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Fast Reverse Design of 4D‐Printed Voxelized Composite Structures Using Deep Learning and Evolutionary Algorithm by Mengtao Wang, Zaiyang Liu, Hidemitsu Furukawa, Zhuo Li, Yifei Ge, Yifan Xu, Zhe Qiu, Yang Tian, Zhongkui Wang, Ren Xu, Lin Meng

“…This study introduces an optimization method combining deep learning (DL) and an evolutionary algorithm, focusing on a solvent‐responsive hydrogel as the target material. …”
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System load trend prediction method based on IF-EMD-LSTM by Jing Yu, Feng Ding, Chenghao Guo, Yabin Wang

“…For the information system monitoring time series data, this article proposes a load trend prediction method based on isolated forests-empirical modal decomposition-long-term (IF-EMD-LSTM). …”
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Intelligent Transaction Scheduling to Enhance Concurrency in High-Contention Workloads by Shuhan Chen, Congqi Shen, Chunming Wu

“…To address these challenges, we propose <i>Dynamic Contention Scheduling</i> (<i>DCoS</i>), a novel method that enhances transaction concurrency via a dual-granularity architecture. …”
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Analysis of transient temperature field of five-phase induction motor with composite winding under different operating conditions by Yunyan Xia, Baiquan Ren, Bo Jing, Zhicheng Chen

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An algorithm to generate correlated input-parameters to be used in probabilistic sensitivity analyses by Mohamed Neine, Desmond Curran

“…The algorithm was implemented in an HZ CEA model and evaluated for gamma and beta distributions. …”
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Mapping Individual Motor Unit Activity to Continuous Three-DoF Wrist Torques: Perspectives for Myoelectric Control by Chen Chen, Yang Yu, Xinjun Sheng, Jianjun Meng, Xiangyang Zhu

“…We decoded the motor unit discharges from the EMG signals using a segment-wise decomposition algorithm. Then the neural features were extracted from motor unit discharges and projected to wrist torques with a multiple linear regression model. …”
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Impact of a New Year Break in Physical Activity on Body Composition in Physically Active Older Women: a Retrospective Observational Pilot Study by Paweł Szkudlarek, Dawid Koźlenia

“…A two-way mixed-model ANOVA revealed significant interactions between the NYB condition and time for BMI, BF%, and FMI  (P < 0.05). …”
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Development and Characterization of Pyrolyzed Sodium Alginate–Montmorillonite Composite for Efficient Adsorption of Emerging Pharmaceuticals: Experimental and Theoretical Insights... by Ibrahim Allaoui, Rachid Et-Tanteny, Imane Barhdadi, Mohammad Elmourabit, Brahim Arfoy, Youssef Draoui, Mohamed Hadri, Khalid Draoui

“…Furthermore, the variation in enthalpy (∆<i>H</i>°), Gibbs free energy (∆<i>G</i>°), and entropy (∆<i>S</i>°) indicated that the adsorption is exothermic in nature. The composite has shown promising efficiency for the adsorption of PCT as a model of emergent pollutant from aqueous solutions, making it a viable option for industrial wastewater treatment. …”
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Development and validation of Spanish version of FINCODA: an instrument for self-assessment of innovation competence of workers or candidates for Jobs by Juan A. Marin-Garcia

“…The results show how the measurement model of the long FINCODA questionnaire version presents content validity (relevance and comprehensiveness) and internal consistency (with analysis considering constructs to be either common factors or composites). …”
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Development of a General Composite Scale (GENCOMS) for Progressive Neurodegenerative Diseases and Implications for the Assessment of Disease-Modifying Therapies by Samuel P. Dickson, Craig H. Mallinckrodt, Basia Rogula, Lauren C. Powell, Michele H. Potashman, Vladimir Coric, Gilbert J. L’Italien, Suzanne B. Hendrix

“…Methods The GENCOMS method relies on robust natural history data and/or placebo arm data from DMT trials. …”
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Synthesis and Application of Fe-Doped TiO2-Halloysite Nanotubes Composite and Their Potential Application in Water Treatment by Emmanuel Nyankson, Benjamin Agyei-Tuffour, Jonas Adjasoo, Annan Ebenezer, David Dodoo-Arhin, Abu Yaya, Bismark Mensah, Johnson Kwame Efavi

“…The photocatalyst-adsorbent composite (TiO2-Fe-HNTs) was synthesized by the hydrothermal method and characterized by X-ray diffraction, thermogravimetric analysis, Fourier-transform infrared spectroscopy, scanning electron microscopy-energy dispersive X-ray spectroscopy, and diffuse reflectance spectroscopy. …”
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Load Forecasting Based on Multiple Load Features and TCN-GRU Neural Network by Haofeng ZHENG, Guohua YANG, Wenjun KANG, Zhiyuan LIU, Shitao LIU, Hong WU, Honghao ZHANG

“…Firstly, the load change rate feature and the load component feature based on the ensemble empirical mode decomposition are introduced, and the feature combination MLFC is formed with the load and date features; Second, select TCN and GRU for feature extraction and prediction, and build an MLFC-TCN-GRU prediction framework based on MLFC; Finally, using different models to verify the proposed method, the results show that MLFC helps to improve the prediction accuracy and is suitable for different models; at the same time, MLFC-TCN-GRU has the highest prediction accuracy compared with other models.…”
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Estimation of the Contribution of Supply and Demand Factors to the Dynamics of Coal Prices in the Domestic Russian Market by A. B. Arshinov, M. A. Alabugin

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Time course of cardiovascular responses to acute sustained handgrip exercise in young physically active men by Vladimir N. Melnikov, Tamara G. Komlyagina, Valentina V. Gultyaeva, Dmitriy Y. Uryumtsev, Margarita I. Zinchenko, Ekaterina A. Bryzgalova, Irina V. Karmakulova, Sergey G. Krivoschekov

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Metagenomic analysis reveals the community composition of the microbiome in different segments of the digestive tract in donkeys and cows: implications for microbiome research by Lei Su, Jindan Guo, Weixiong Shi, Wei Tong, Xue Li, Bochao Yang, Zhiguang Xiang, Chuan Qin

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Electricity Load Forecasting Method Based on the GRA-FEDformer Algorithm by Xin Jin, Tingzhe Pan, Heyang Yu, Zongyi Wang, Wangzhang Cao

“…Secondly, a frequency decomposition method for long short-time-scale components was utilized. …”
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