A Rapid Prediction of Suppressed Vibration in Composite Bridges Equipped with Constrained Layer Damping by Quanmin Liu, Weiwang Fu, Lizhong Song, Kui Gao, Peipei Xu

“…Firstly, a numerical model for the dynamic response of a composite steel–concrete bridge using WFEM. …”
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Light source classification and colour change modelling for understanding and predicting pigments discolouration by Panagiotis Siozos, Letizia Monico, Aldo Romani, Costanza Miliani, Brenda Doherty, Irina Crina Anca Sandu, Hartmut Kutzke, Ingrid M T Flåte, Petros Stavroulakis, Sophia Sotiropoulou

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MVSAPNet: A Multivariate Data-Driven Method for Detecting Disc Cutter Wear States in Composite Strata Shield Tunneling by Yewei Xiong, Xinwen Gao, Dahua Ye

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Research progress on toughening mechanism and interphase property testing methods of SiCf/SiC ceramic matrix composites by MA Haolin, WU Xiaochen, ZHEN Xiali, LI Lu, ZHENG Ruixiao, MA Chaoli

“…In recent years，nano/micro fabrication techniques based on the focused ion beam （FIB）and nano/micro mechanical testing methods based on the nanoindentation are the effective methods to analyze and extract the interphase properties of SiCf/SiC composites. …”
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Test methods for adhesive polymer compositions in development and quality control for stoma care products on the example of adhesive baseplates (review) by I. A. Sadkovskii, L. A. Korol, A. B. Karabanova, A. V. Korolenko, E. A. Shemetova, I. I. Krasnyuk, G. V. Ramenskaya, M. A. Mandrik

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Use of an Improved Car-Following Model to Explain the Influence of Traffic Composition on Saturation Headway at Signalized Intersections by Yi Wang, Jian Rong, Wei Luo, Yacong Gao

“…Previous studies mainly used statistical methods to analyze the impact of traffic composition on saturation flow rate from the mesolevel, and there is insufficient research on how traffic composition affects driving behavior. …”
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Predictive modeling of PMMA-based polymer composites reinforced with hydroxyapatite: a machine learning and FEM approach by Rohit Kumar Singh, Khyati Verma, G. C. Mohan Kumar

“…This research highlights the effectiveness of integrating micromechanical modeling with machine learning to improve the prediction and comprehension of composite behavior, thereby offering valuable insights for the design and application of advanced materials.…”
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Modeling and Optimization of MRR in Wire Electrical Discharge Machining of Silicon Particle-Reinforced AA6063 Composite by CR Mahesha, R .Suprabha, NPG Bhavani, Prashant Sunagar, Raja Ramesh, P. Balamurugan, Rajasekar Rajendran, Anirudh Bhowmick

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Phytochemical composition, phytotoxicity, and ADME modeling of Artemisia absinthium L.: implications for food safety and pharmaceutical applications by Asmae Hbika, Ayoub Farihi, Mohammed Benali, Fatima-Zahrae Ed-darraz, Abdelhamid Bouyanzer, Mohammed F. Hawwal, Ramzi A. Mothana, Elkhadir Gharibi

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Machine learning-enabled multiscale modeling platform for damage sensing digital twin in piezoelectric composite structures by Somnath Ghosh, Saikat Dan, Preetam Tarafder

“…The DT framework consists of a two-step computational process integrating multiscale-multiphysics modeling with machine learning (ML) tools to detect damage progression in the piezoelectric composite structure using electrical signal measurements at a few surface points. …”
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Impact of ghrelin on body composition and muscle function in a long-term rodent model of critical illness. by Neil E Hill, Kevin G Murphy, Saima Saeed, Rahul Phadke, Darren Chambers, Duncan R Wilson, Stephen J Brett, Mervyn Singer

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Multi-function composite data generation and PIMamba model for fault diagnosis in sucker-rod pumping wells by Senhao Ren, Wenqiang Tang, Chao Ma, Li Hou, Xiaodong Chen, Jiashan Lin, Jie Yang, Yun Yang, Xiao Huo, Guoxin Li, Daowei Zhang

“…To overcome these challenges, we propose a multi-function composite data generation paradigm that integrates diverse functional characteristics, generating 11 classes of highly interpretable single-condition images as training data for a prior model. …”
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Value of a diagnostic model based on composite inflammatory and nutritional indicators in predicting early colorectal cancer by LIU Xinyue, DING Xueli, YU Yanan, LIU Ailing, TIAN Zibin

“…Objective To construct a diagnostic model based on composite inflammatory and nutritional indicators for early colorectal cancer, and to evaluate the predictive value of the model. …”
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PV Power Short-Term Forecasting Method Based on VMD-GWO-ELMAN by Na ZHANG, Qiang REN, Guangchen LIU, Liping GUO, Jingyu LI

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Identification of the elastic characteristics of a composite material based on the results of tests for the stability of panels made from it by R.A. Kayumov, B.F. Tazyukov, I.Z. Muhamedova, F.R. Shakirzyanov

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Q-tables formation method for automated monitoring of electromechanical converters parameters with application of linear integral criterion by N. A. Malev, O. V. Pogoditsky, A. S. Malacion

“…In these models static characteristics are implemented in tabular form reflecting the dependencies between the parameters of the electromechanical converters and the linear integral criterion. …”
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Bearing Fault Diagnosis Method Based on Improved VMD and Parallel Hybrid Neural Network by Wuyi Chen, Huafeng Cai, Qiu Sun

“…In order to combat the difficulty of fault feature extraction and fault recognition in the field of bearing fault diagnosis, a bearing fault diagnosis method based on improved variational mode decomposition (VMD) and parallel hybrid neural network is proposed, which combines reweighted kurtosis (RK) with variable mode decomposition (VMD) and uses reweighted kurtosis as the evaluation index to select the decomposition times of variational mode decomposition, while removing part of the interference in the fault signal and retaining its impact characteristics. …”
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Application research of prestressed wire strand and composite mortar for flexural strengthening of T-shaped simply supported beam bridges by Xilong Zheng

“…In order to validate the reinforcing effect of the prestressed wire strand-composite mortar method on actual bridges, this paper applies the reinforcing method to a T-shaped simply supported beam bridge and conducts load tests before and after the reinforcement to explore its improvement effect. …”
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Bolt Anchorage Quality Levels Classification Method Based on HO‐VMD‐CNN‐BiLSTM by Fan Kesong, Zhang Can, Liu Shaowei, Feng Mengyin, Yan Ao, Fu Mengxiong, He Deyin, Nie Zhibin

“…In this paper, a new model named HO‐VMD‐CNN‐BiLSTM is proposed to optimize the accuracy of signal decomposition and quality classification. …”
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A Short-Term Load Interval Forecasting Method Based on EEMD-SE and PSO-KELM by Lin ZHANG, Jichun LIU

“…The proposed model was tested with the actual load data of a city in South China in different seasons under different nominal confidence, and the simulation results show that compared with other prediction methods, the proposed method has better performance in interval reliability and width.…”
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