Physical Model Tests on Reinforced Loess Foundation Model Under Wetting and Loading by ZHANG Wan, MU Hongkun, LIU Fengyin, GUO Huaining, ZHAO Wei, XUE Yifeng

“…The length of the model reinforcement layer is 450 mm (5.0<italic>B</italic>). …”
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Blockchain efficient Byzantine fault tolerance consensus algorithm for IIoT by LI Fengqi, SONG Qingqing, XU Hui, DU Xuefeng, GAO Jialong, TONG Ning, WANG Deguang

“…The participation of good nodes in the consensus and the removal of faulty nodes were ensured by the credit score model. The parallelism of transaction verification and read write operations was achieved through the implementation of a double layer architecture. …”
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Determination of Dynamic Stresses and Displacements under the Action of an Impact Load on a Two-Layer Structure during the Indentation Process by N. E. Babushkina, A. A. Lyapin

“…Traditional models of elasticity theory were used for calculations. …”
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Enhancing 3D Printing Copper-PLA Composite Fabrication via Fused Deposition Modeling through Statistical Process Parameter Study by Mahmoud Moradi, Omid Mehrabi, Fakhir A. Rasoul, Anas Abid Mattie, Friedemann Schaber, Rasoul Khandan

“…The rapid advancement of additive manufacturing (AM) technologies has provided new avenues for creating three-dimensional (3D) parts with intricate geometries. Fused Deposition Modeling (FDM) is a prominent technology in this domain, involving the layer-by-layer fabrication of objects by extruding a filament comprising a blend of polymer and metal powder. …”
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MHD couple stress boundary-layer flow with heat and mass transfer under thermal radiation and Marangoni effect: A numerical study by Jawali C. Umavathi, Bernardo Buonomo, Oronzio Manca, Mikhail A. Sheremet

“…Additionally, the study of the nanoparticle interfacial layer features under an appropriate nanofluid model has been performed. …”
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Evaluation of processes driving iodine monoxide and ozone variability over the Western Pacific warm pool by Takashi Sekiya, Hisashiro Takashima, Yugo Kanaya, Fumikazu Taketani, Kengo Sudo, Martina M. Friedrich, Michel Van Roozendael

“…The impact of iodine has been extensively studied using three-dimensional chemical transport models (CTMs). However, the factors governing the variability of iodine monoxide (IO) and ozone in the marine boundary layer (MBL) remain uncertain. …”
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Study on the effect of load on the structural response of projectile during penetration process by Jun Liang, Xuanhua Fan, Tao Li, Shifu Xiao, Feng Ma

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Study on Optimization of Rice-Drying Process Parameters and Directional Regulation of Nutrient Quality by Jinquan Li, Kezhen Chang, Jun Yin, Yi Jin, Xiaokang Yi, Zhongjie Zhang, Yichuan He, Qiaonan Yang, Zhihui Tang, Xiaoyu Liu, Wenfu Wu

“…The relationship between each factor and nutrient quality was revealed through response surface analysis, and the regression model and process optimization parameters were established. …”
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An improved neurogenetic model for recognition of 3D kinetic data of human extracted from the Vicon Robot system by Ivan V. Stepanyan, Safa A. Hameed

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A Nested Named Entity Recognition Model Robust in Few-Shot Learning Environments Using Label Description Information by Hyunsun Hwang, Youngjun Jung, Changki Lee, Wooyoung Go

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Research on fault diagnosis of amorphous alloy transformers by using vibration signals and a PSO-optimized full-process WPT-SVM model by Daosheng Liu, Wentao Yang, Longsheng Liu, Zhe Zhao

“…Therefore, in order to solve the AMT vibration monitoring problem and enhance the diagnostic efficiency, this study proposes an AMT fault diagnosis model based on particle swarm optimization (PSO) to optimize the parameters of wavelet packet transform (WPT) and support vector machine (SVM).The optimal vibration signal acquisition point is determined by finite element analysis to ensure high signal quality. …”
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Turbulent Mechanisms for the Deep Convective Boundary Layer in the Taklimakan Desert by Lu Zhang, Hongsheng Zhang, Qianhui Li, Wei Wei, Xuhui Cai, Yu Song, Ali Mamtimin, Minzhong Wang, Fan Yang, Yu Wang, Chenglong Zhou

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Enhanced Lung Disease Classification Using CALMNet: A Hybrid CNN-LSTM-TimeDistributed Model for Respiratory Sound Analysis by Reshma Sreejith, R.Kanesaraj Ramasamy, Wan-Noorshahida Mohd-Isa, Junaidi Abdullah

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Using the ASTER GDEM v.2 global digital elevation model to identify areas of possible activation of karst processes in the Arkhangelsk region (Russia) by E.V. Polyakova, Y.G. Kutinov, A.L. Mineev, Z.B. Chistova, T.Ya. Belenovich

“…The possibility of applying the method of detecting drainless depressions, which is used in hydrological correction of the digital elevation model, to identify areas of probable activation of the karst processes in the territory of the Arkhangelsk region was considered. …”
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A Novel Method Based on Digital Image Processing Technique and Finite Element Method for Rapidly Modeling Optical Properties of Actual Microstructured Optical Fibers by Jianshe Li, Shuguang Li, Guanghua Gu, Hui Li, Qiang Liu, Zhenkai Fan, Hailiang Chen, Xiaoming Han, Yuanyuan Zhao, Pu Zhang

“…With this method, the actual cross-section structure of MOFs can be rapidly modeled by gray scale processing, filtering, threshold, and edge detection, which is vital to the simulation of the basic properties of the fiber with FEM precisely. …”
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Exploitation of ARIMA and Annual Variations Model for SAR Interferometry Over Permafrost Scenarios by Wenyan Yu, Xiao Cheng, Mi Jiang

“…Furthermore, incorporating annual variations enhances the accuracy of active layer thickness estimation. Our methodology reveals a strong correlation between residual deformations and soil moisture content, shedding light on the pivotal role of soil moisture in permafrost thawing processes.…”
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Designing a System Architecture for Dynamic Data Collection as a Foundation for Knowledge Modeling in Industry by Edmund Radlbauer, Thomas Moser, Markus Wagner

“…This study develops and implements a scalable system architecture for dynamic data acquisition and knowledge modeling in industrial contexts. The objective is to efficiently process large datasets to support decision-making and process optimization within Industry 4.0. …”
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Development and optimization of a neural network model using genetic algorithm to predict the performance of a packed bed reactor treating sulphate-rich wastewater by Manoj Kumar, Rohil Saraf, Shishir Kumar Behera, Raja Das, Mansi Aliveli, Arindam Sinharoy, Eldon R. Rene, Ravi Krishnaiah, Kannan Pakshirajan

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Bidirectional decision analysis of online Ride-hailing enterprises based on fuzzy theory and cloud model by Mingliang Yu, Gengsheng Zhao, Zhanxin Ma, Dongping Pu

“…To solve this problem, a hybrid decision method based on fuzzy analytic hierarchy process (F-AHP) and two-dimensional cloud model is constructed, aiming to help service-oriented enterprises represented by online ride-hailing (ORH) optimize their strategies to adapt to the changing market. …”
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Resource‐explicit interactions in spatial population models by Samuel E. Champer, Bryan Chae, Benjamin C. Haller, Jackson Champer, Philipp W. Messer

“…Abstract Continuous‐space population models can yield significantly different results from their panmictic counterparts when assessing evolutionary, ecological or population genetic processes. …”
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