Establishment of a Prediction Model for the Residual Stress on the Surface Layer of Face Gears During Hot Rolling by Jin Yuanyuan, Xu Hongyu, Li Li, Zhang Fengshou, Wang Xiaoqiang, Zhang Guang

“…Taking the simulation results as data samples, the response surface method is used to establish the prediction model of residual compressive stress and compressive stress layer depth on the surface of hot rolling gear profiles, and the optimal process combination is obtained by taking the maximum peak value of residual compressive stress and the minimum depth of residual compressive stress layer as the optimization objective. …”
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High-Performance and Lightweight AI Model with Integrated Self-Attention Layers for Soybean Pod Number Estimation by Qian Huang

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Impacts of Land–Atmosphere Interactions on Boundary Layer Variables: A Classification Perspective from Modeling Approaches by Xin-Min Zeng, Congmin Li, Ning Wang, Irfan Ullah

“…In this article, we present a classification of these impacts based on modeling boundary layer variables/parameters, which is grouped into local, regional, and remote impacts. …”
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Optimizing Porous Transport Layers in PEM Water Electrolyzers: A 1D Two-Phase Model by Lu Zhang, Jie Liu, Shaojie Du

“…Based on the model, the mass transfer, charge conduction, and heat transfer processes inside the PEMWE have been systematically investigated, with a particular focus on the performance-related parameters of the porous transport layer (PTL). …”
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Establishment of Rutting Model of Wheel-Tracking Test for Real-Time Prediction of Rut Depth of Asphalt Layers by Yulong Zhao, Ying Gao, Ke Zhang, Yao Zhang, Mingce Yu

“…The objective of this study was to establish a rutting model of the wheel-tracking test used for the real-time prediction of the rut depth of asphalt layers in the construction process. …”
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Modeling and numerical analysis of the effect of dissociation/recombination of water molecules on the transport of salt ions in diffusion layer by N. O. Chubyr, A. V. Kovalenko, M. Kh. Urtenov, A. I. Sukhinov, V. A. Gudza

“…A mathematical model of this process is proposed. It takes into account the temperature effects due to dissociation/recombination reactions of water molecules and Joule heating in a solution. …”
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Theoretical Research on Grouting in Deep Loose Layers Based on the Cylindrical Diffusion Model of Radial Tube Flow by Xuesong Wang, Hua Cheng, Zhishu Yao, Chuanxin Rong, Xianwen Huang, Longhui Guo

“…Grouting in deep, loose layers are a complex process in which many modes such as infiltration, splitting, and compaction coexist. …”
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Simulating vertical phytoplankton dynamics in a stratified ocean using a two-layered ecosystem model by Q. Zheng, J. J. Viljoen, X. Sun, Ž. Kovač, S. Sathyendranath, R. J. W. Brewin

“…Nevertheless, simulating the ecosystem in the subsurface layer was more challenging than the ecosystem in the surface mixed layer as less is known about model parameters and processes due to a lack of measurements, suggesting that more work is needed to study controls on subsurface planktonic communities.…”
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A neural master equation framework for multiscale modeling of molecular processes: application to atomic-scale plasma processes by Shoubhanik Nath, Joseph R. Vella, David B. Graves, Ali Mesbah

“…The framework is demonstrated for multiscale modeling of Si atomic layer etching and reactive ion etching, where the learned NME-based surface kinetic models exhibit good predictive and extrapolative capabilities for predicting experimentally relevant observables as a function of process parameters. …”
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Egg appearance quality detection based on CNN-SVM model by QI Ge, ZHAO Feng, LI Wanning

“…ObjectiveIn order to improve the accuracy of egg appearance quality detection, an egg appearance quality detection model based on CNN-SVM model was established.MethodsCombined with the adaptive feature extraction capability of CNN and the super-generalization classification capability of SVM, the features of fully connected layers were extracted by six-layer convolutional neural network structure processing, and the CNN-SVM hybrid model was adopted, instead of the traditional CNN + softmax, an egg appearance quality detection method based on CNN-SVM model was proposed.ResultsCompared with SVM model, CNN model and KNN model, CNN-SVM model had better performance in accuracy, precision, recall and F1 score, which were 97.97%, 98.10%, 98.10% and 98.00% respectively. …”
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Dissolved inorganic carbon entrainment into the mixed layer of the western subarctic North Pacific: a key process of ocean acidification under historical carbon dioxide emissions by Akira Nagano, Masahito Shigemitsu, Masahide Wakita

“…Abstract This study investigated processes responsible for the acidification of the mixed layer water at station K2 ( $$47^{\circ }$$ 47 ∘ N, $$160^{\circ }$$ 160 ∘ E) in the western subarctic North Pacific by analyzing physical and biogeochemical variables during 1850–2014 in a Geophysical Fluid Dynamics Laboratory Earth system model of Coupled Model Intercomparison Project Phase 6 under historical carbon dioxide ( $$\hbox {CO}_{2}$$ CO 2 ) emissions. …”
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Suitability of Baking Processing for Yak Stomach with Different Muscle Layer Thicknesses by Tianxia ZHAO, Min LIU, Shengsheng LI, Yan ZHANG, Qianglong ZHANG

“…In this study, 17 samples of yak stomach with different muscle layer thickness were taken as the raw meat, and the physicochemical quality, processing quality and eating quality of raw meat and the physicochemical, processing, eating and sensory evaluation differences after baking were analyzed. …”
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Leveraging Historical Process Data for Recombinant <i>P. pastoris</i> Fermentation Hybrid Deep Modeling and Model Predictive Control Development by Emils Bolmanis, Vytautas Galvanauskas, Oskars Grigs, Juris Vanags, Andris Kazaks

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Circulation Characteristics and Conceptual Model of Rainstorm Processes in the Eastern Foot of the Helan Mountain by Yuying CHEN, Yang SU, Yixing ZHANG, Shanshan YAO, Yin YANG

“…In this study， the rainstorm processes are classified into ordinary rainstorm （50~100 mm）， heavy rainstorm （100~200 mm） and extraordinary rainstorm （more than 200 mm） according to the accumulated rainfall of the rainstorm process.Then， based on 23 rainstorm processes in the eastern foot of the Helan Mountain from 2016 to 2021， the circulation characteristics of different grades of rainstorms are investigated and the corresponding conceptual models are established.The results show that during the rainstorm processes， the westerlies prevail in middle-high latitudes.The rainstorm area is controlled by four airflows， i.e.the 200 hPa westerly airflow， the 500 hPa southwesterly airflow， the 700 hPa southerly airflow and the 850 hPa southeasterly airflow.There is high-level jet and low-level jet in the high and low levels， respectively.The different grades of rainstorms are mainly caused by the different locations and intensities of the South Asia high （SAH） and the Western Pacific Subtropical High （WPSH）.The difference in SAH and WPSH can result in the differences in low-level temperature and humidity， and the stability of atmosphere.The baroclinity is the strongest in the middle levels （700~500 hPa）， and is relatively weak in the low levels （875~700 hPa）.The baroclinity is the strongest for ordinary rainstorm and the weakest for extraordinary rainstorm.For ordinary rainstorm processes， the fronts in the westerlies are the most active， the WPSH is the weakest and southmost， the wet layer is the thickest， the warm cloud layer is the thinnest， and the low-level thermal forcing and atmospheric instability is the weakest.For heavy rainstorm processes， the dynamic forcing is weaker， the WPSH and low-jet is more northward， the low-level thermal forcing and atmospheric instability is relatively strong， the values of convective parameters are relatively large， and the duration， area and magnitude of rainstorm are relatively large.For extraordinary rainstorm processes， the SAH， WPSH and low-level jet are the strongest and northmost， the atmospheric instability is the strongest， the wet layer is the thinnest， and the warm cloud layer is the thickest.The values of convective parameters and vertical wind shear in extraordinary rainstorm processes are 1~3 times that of ordinary and heavy rainstorm processes.The joint effects of the northward advancing low-level jet and the topography of the Helan Mountain favor the occurrence of local rainstorms in the eastern foot of the Helan Mountain.…”
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Heartbeat information prediction based on transformer model using millimetre‐wave radar by Bojun Hu, Biao Jin, Hao Xue, Zhenkai Zhang, Zhaoyang Xu, Xiaohua Zhu

“…This study proposes a heartbeat prediction method based on the transformer model using millimetre‐wave radar. Firstly, the millimetre‐wave radar was used to collect the heartbeat data and conduct normalisation processing. …”
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Development of mathematical model of oscillatory processes at turning of materials with reverse hardness distribution by V. E. Ovsyannikov, E. M. Kuznetsova, R. Yu. Nekrasov, S. Yu. Titskaja

“…Cutting forces were determined taking into account the shape and nature of chip formation, the value of technological modes and processing conditions. As the material to be machined, the authors considered the cast iron with a layer hardened by diffusion alloying. …”
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Flow Dynamic Analysis of Core Shooting Process through Experiment and Multiphase Modeling by Changjiang Ni, Gaochun Lu, Tao Jing, Junjiao Wu

“…Two-fluid model (TFM) simulations with turbulence model were then performed and good agreement was achieved between the experimental and simulation results on the flow behavior of sand particles in both the shooting head and the core box. …”
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Modelling the Dynamics of <i>P. aeruginosa</i> in the Formation of Biofilms by Dinesh Singh Bhandari, Dominic Quinn, Erifyli Tsagkari, Katherine Fish, Frances Pick, Joby Boxall, Cindy Smith, Siming You, William Sloan

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Modeling and Simulation of Coupled Network Public Opinion Propagation Across Social Media Platforms by Deming ZHENG, Sijia LI, Jianlong ZHENG, Zhaoxin WANG

“…Understanding the topological structure of information dissemination networks across platforms and the mechanisms of public opinion dissemination on them is of great significant guiding importance for predicting trends in online public opinion and formulating guiding strategies. [Methods/Processes] Based on the SEIR model of infectious diseases, a model of the spread of public opinion on cross-social platform coupled networks was constructed. …”
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Machine Learning and Multilayer Perceptron-Based Customized Predictive Models for Individual Processes in Food Factories by Byunghyun Lim, Dongju Kim, Woojin Cho, Jae-Hoi Gu

“…This study identifies steam energy consumption patterns across four stages of food processing. Additionally, it proposes a customized predictive model employing four machine learning algorithms—linear regression, decision tree, random forest, and k-nearest neighbor—as well as two deep learning algorithms: long short-term memory and multi-layer perceptron. …”
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