A Mesoscopic Model for Predicting the Chloride Diffusivity’ Representative Volume Element in Concrete as a Random Composite by JianXiang Xie, Gang Lin, Junming Wu

“…A mesoscopic model has been established based on the random aggregate model and a numerical model for calculating the chloride diffusivity has been proposed. …”
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Interpretability Study on the Fault Diagnosis Model of the Heat pipe/ Vapor Compression Composite Air Conditioning System by ZHANG Yiqi, HUANG Shuoquan, LI Xiuming, DI Yanqiang, SONG Mengjie, HAN Zongwei

“…This study develops a composite fault diagnosis model based on typical machine learning algorithms, compares the diagnostic performance of different models, and finally conducts interpretability research on the diagnostic models using the SHAP method. …”
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Novel biolubricant synthesis: Enhancing the composition of used cooking oil and Callophyllum inophyllum oil by utilizing infrared heating method by Bela Nurulita, Taufiq Bin Nur, Arridina Susan Silitonga, Teuku Meurah Indra Riayatsyah, Deswita, Md Abul Kalam, Nurin Wahidah Mohd Zulkifli, Abdi Hanra Sebayang, Sihar Siahaan, Munawar Alfansury

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Correction of the Carbohydrate Composition of Raw Materials for Microbial Transformation Based on Microbial Consortia by Kondratenko Vladimir V., Posokina Natalia E., Lyalina Ol’ga Yu., Kolokolova Anastasiay Yu., Glazkov Sergey V.

“…Lactic acid microbial consortia can act as a good alternative to spontaneous fermentation of cabbage as this method creates good conditions for the microbial synergistic interaction. …”
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Application of Response Surface Methodology and Central Composite Inscribed Design for Modeling and Optimization of Marble Surface Quality by Sümeyra Cevheroğlu Çıra, Ahmet Dağ, Askeri Karakuş

“…Clarifying these factors for optimization of multivariate polishing process by trial and error method is difficult, time-consuming, and costly task. …”
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Model Sensitivity Analysis for Coastal Morphodynamics: Investigating Sediment Parameters and Bed Composition in Delft3D by Robert L. Jenkins, Christopher G. Smith, Davina L. Passeri, Alisha M. Ellis

“…This study approaches the problem of limited sediment grain-size data with a series of simulations assessing model sensitivity to sediment parameters and initial bed composition configurations in Delft3D, leading to improved modeling practices. …”
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Relaxation Modeling of Unidirectional Carbon Fiber Reinforced Polymer Composites Before and After UV-C Exposure by Flavia Palmeri, Susanna Laurenzi

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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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