Effects of Driving Current Ripple Fluctuations on the Liquefied Layer of the Armature–Rail Interface in Railguns by Wen Tian, Gongwei Wang, Ying Zhao, Weikang Zhao, Weiqun Yuan, Ping Yan

“…Consequently, it is imperative to conduct an in-depth analysis of the influence of current ripple on the liquefied layer during electromagnetic launching. In this paper, a thermoelastic magnetohydrodynamic model is constructed by coupling temperature, stress, and electromagnetic fields, which are predicated on the Reynolds equation of the metal liquefied layer at the armature–rail contact interface. …”
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Surface Layer Turbulent Characteristics over the Complex Terrain of the Loess Plateau Semiarid Region by Zhida Zhang, Jiening Liang, Min Zhang, Qi Guo, Lei Zhang

“…Surface layer turbulence has an important influence on land-air interactions and pollutant dispersion, and studying the characteristics of surface layer turbulence in complex terrain can contribute to understanding land-air interactions, improving model surface layer parameterization, and enhancing pollution prediction capabilities. …”
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An ISM-based approach to overcoming barriers to adopting next-generation processing and computing technologies in the ceramics and glass manufacturing industries by T. Ibn-Mohammed, N. Bhanot, A.H. Mohammed, C.E.J. Dancer, K. Kirwan

“…The Interpretive Structural Modelling (ISM) technique was adopted to deepen the understanding of the contextual interactions and interdependencies among the barriers, structuring them into seven hierarchical layers. …”
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Exploring the Dynamics of an Arctic Sea Ice Melt Event Using a Coupled Atmosphere‐Ocean Single‐Column Model (AOSCM) by Kerstin Hartung, Gunilla Svensson, Jareth Holt, Anna Lewinschal, Michael Tjernström

“…The coupled Atmosphere‐Ocean Single‐Column Model (AOSCM) allows to decouple local small‐scale and large‐scale processes to investigate the model performance in an idealized setting. …”
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Advancing Skin Disease Diagnosis: A Multimodal Approach Utilizing Telegram Api Token Chatbot for Text and Image Analysis in Skin Disease Classification by Modigari Narendra, T. S. Harshini, L. Jani Anbarasi

“…This study aims to develop a skin disease classification system using a multimodal approach, integrating ensemble methodology using DenseNet169 – Resnet50 ensemble Transfer learning models, and Natural Language Processing (NLP) within a Telegram chatbot interface. …”
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Synthesis and application of MgCuAl-layered triple hydroxide/carboxylated carbon nanotubes/bentonite nanocomposite for the effective removal of lead from contaminated water by Usman M. Ismail, Ahmed I. Ibrahim, Sagheer A. Onaizi, Muhammad S. Vohra

“…A novel multicomponent adsorbent nano-composite was synthesized by intercalating bentonite clay and carboxylated carbon nanotubes (CNT-COOH) into MgCuAl-layered triple hydroxide (MgCuAl-LTH), abbreviated as LTH/CNT-COOH/Bent. …”
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Numerical simulation of the denitrification process in the sintering flue gas SCR reactor and optimization of the ammonia injection process by Huang Dewei, Yin Xiaochun, Ding Huaiping

“…According to the results of numerical analysis, the ammonia injection process was optimized. Through the finite element modeling of the optimized design scheme, the mixing degree of ammonia and nitrogen oxides and the denitration efficiency were re-analyzed. …”
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Application of foam-mat drying to produce field crab powder: Foaming process optimization, drying kinetics, and final product characterization by Nguyen Minh Thuy, Ngo Ngoc Nhut Minh, Nguyen Hoang Kha, Bui Thi Bich Thuy, Tran Ngoc Giau, Hong Van Hao, Vo Quang Minh, Ngo Van Tai

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Layers interface detection using electrical resistivity tomography based on the application of Euler deconvolution method by Wael Dosoky

“…To achieve this, the efficiency of the ED method in interpreting ERT data was evaluated using both synthetic models and actual field cases. In this paper, five models were used to simulate different scenarios of horizontally stratified and undulating layers using RES2DMOD software. …”
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Simulation of Soil Freeze-thaw Process and Water Balance in Shrubland Meadow in Shallow Mountain Area of Qilian Mountains by Tiaoxue LU, Linshan YANG, Jingru WANG, Xingyi ZOU, Wanghan HE

“…Soil water-heat dynamics are pivotal in influencing regional hydrological processes.Understanding the dynamics of soil thermal and moisture changes during freezing and thawing processes is essential for assessing water balance in high-altitude regions.This study utilizes meteorological and soil water-heat observational data from a typical shallow mountainous catchment in the Qilian Mountains to simulate the water-heat dynamics of subalpine shrub meadow soil using the SHAW model， analyzing the changes in water balance during the soil freezing and thawing process.The results indicate that the SHAW model effectively simulates the temporal and vertical variations in soil temperature and moisture in subalpine shrub meadow soils.The findings demonstrates that the Nash-Sutcliffe Efficiency （NSE） for simulated soil temperature at various depths exceeded 0.88， with ae correlation coefficient （R） greater than 0.97and a Root Mean Square Error （RMSE） less than 1.89 ℃.For soil moisture， the correlation coefficient （R） was greater than 0.94， NSE was greater than 0.88.and the RMSE was less than 0.05 m³·m⁻³.Overall， the simulation of soil temperature is more accurate than that of soil moisture， especially in deeper soil layers.The soil freezing and thawing periods， delineated by temperature profiles， revealed a distinct unidirectional freezing and thawing characteristic of the subalpine shrub meadow soil， with the longest duration in the complete freezing period and the shortest in the freezing period.The trends in temperature and moisture across the soil profile exhibit a "U" shape， indicating higher soil temperatures and moisture during the thawing period compared to the freezing period， with significant fluctuations in surface soil moisture and relative stability at deeper layers.The water balance characteristics are significantly varied across different soil freezing and thawing periods.During the freezing period， the precipitation input is 4.28 mm， with the main expenditure of water is deep percolation at 9.06 mm.In the complete freezing period， the precipitation input is 28.69 mm， with the main expenditure of water is surface runoff at 17.90 mm.During the thawing period and the complete thawing period， the precipitation input is 106.29 mm and 207.31 mm respectively， with the major water output through evapotranspiration， where plant transpiration accounted for 78.11% and 71.54% respectively.The soil moisture shows a negative balance during the freezing and complete thawing periods， indicating a net loss of moisture.Conversely， the soil moisture exhibits a positive balance during the complete freezing and thawing periods， signifying a net increase in moisture.This study may provide empirical data and theoretical support for the formation and transformation of water resources in the Qilian Mountain region.…”
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A Dynamic Precision Evaluation System for Physical Education Classroom Teaching Behaviors Based on the CogVLM2-Video Model by Chao Liu, Fan Yang, Chengyu Ge, Zhiyu Shao

“…The platform layer manages data processing and storage, ensuring integrity and security for long-term evaluation. …”
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Hierarchical Reinforcement Learning for Multi-Layer Multi-Service Non-Terrestrial Vehicular Edge Computing by Swapnil Sadashiv Shinde, Daniele Tarchi

“…The problem is defined as a multi-layer sequential decision-making problem through the Markov Decision Processes (MDP). …”
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High‐Resolution Simulation of Dense Fog in Tianjin City: Effect of Horizontal Resolutions From Mesoscale to Large Eddy Scale by Meng Tian, Shun Li, Wei Wei, Jianbo Yang, Bingui Wu, Suhong Ma, Yang Guo, Qing Liu, Haohao Nie

“…The results reveal: With increasing resolution, the model becomes more sensitive to fluctuations of meteorological variables within the fog layer, resulting in a more pronounced diurnal variation and a tendency for the fog to dissipate more readily. …”
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Image dehazing algorithm based on light-value weighted allocation and multi-layer restricted perception by Dongyang Shi, Sheng Huang, Wei Zhao

“…Experimental results demonstrate that the DWARP algorithm effectively prevents distortion in the dehazing process for bright regions and enhances the model’s noise robustness. …”
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Numerical simulation of a heat generation in a layered material during ultrasonic wave propagation by Anastasiia Kostina, Oleg Plekhov, Sergey Aizikovich

“…In this work, a three-dimensional numerical simulation of this process is applied to the bi-metallic layered structure with an edge crack. …”
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Chinese Image Captioning Based on Deep Fusion Feature and Multi-Layer Feature Filtering Block by Xi Yang, Xingguo Jiang, Jinfeng Liu

“…Through ablation experiments, we validated the effectiveness of the Deep Fusion Feature Encoder, Swi-Gumbel Attention, and Triple-Layer Feature Filtering Block. We also explored the impact of different architectural configurations within the Multi-Layer Feature Filtering Block on caption accuracy.…”
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Comparative Evaluation of Sequential Neural Network (GRU, LSTM, Transformer) Within Siamese Networks for Enhanced Job–Candidate Matching in Applied Recruitment Systems by Mateusz Łępicki, Tomasz Latkowski, Izabella Antoniuk, Michał Bukowski, Bartosz Świderski, Grzegorz Baranik, Bogusz Nowak, Robert Zakowicz, Łukasz Dobrakowski, Bogdan Act, Jarosław Kurek

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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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Unraveling Mass Transfer and Reaction Processes in CVD-Grown MoS₂ Films: A Multiphysical Field Coupling Study by Zhen Yang, Jinwei Lin, Qing Zhang, Yutian Liu, Shujun Han, Yanbin Zhou, Shuo Chen, Shenlong Zhong, Xianli Su, Qingjie Zhang, Xinfeng Tang

“…In this study, we conducted an in-depth investigation into the mass transfer and chemical reaction processes during the chemical vapor deposition of MoS₂, employing a novel multi-physics coupling model that integrates flow fields, temperature fields, mass transfer, and chemical reactions. …”
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Microdissection and Single-Cell Suspension of Neocortical Layers From Ferret Brain for Single-Cell Assays by Lucia Del-Valle-Anton, Salma Amin, Víctor Borrell

“…Brain development is highly complex and dynamic. During this process, the different brain structures acquire new components, such as the cerebral cortex, which builds up different germinal and cortical layers during its development. …”
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