The Process‐Oriented Understanding on the Reduced Double‐ITCZ Bias in the High‐Resolution CESM1 by Enze Dong, Fengfei Song, Lixin Wu, Lu Dong, Shengpeng Wang, Fukai Liu, Hong Wang

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Research of heat transfer and magnetohydrodynamics in the flow of liquid between two coaxial cylinders by S.V. Solov′ev

“…Further research is needed to study and better understand such complex processes, which will serve to clarify the mathematical models of heat exchange and magnetohydrodynamics. …”

Design and Implementation of Aspect-Based Sentiment Analysis Task by Ningyi Zhang

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Development of design methodology of technological process of ball-rod hardening with account for formation of compressive residual stresses by M. A. Tamarkin, E. E. Tishchenko, S. A. Novokreshchenov, S. A. Morozov

“…When conducting theoretical studies on the processing, factors, which affect the quality of the surface layer of the machined parts, were established. …”
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Interplay of wind-driven processes and subsurface oscillations along the leeward coastline of a tropical reef island by Arnaud Valcarcel, Joanne O’Callaghan, Joanne O’Callaghan, Mark J. A. Vermeij, Mark J. A. Vermeij

“…This study uses in situ observations and global model outputs to investigate the modulation of subsurface ocean properties by wind-driven Ekman transport, turbulent overturning, and semidiurnal temperature fluctuations, along a 70 km-long reef island coastline. …”
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Two-layer asynchronous distributed optimal voltage control for VSC-HVDC-connected large-scale wind farm clusters by Fuyan Liu, Feifan Shen, Pan Hu, HeSong Cui, Sheng Huang, Ji Zhang, Xia Ma, Kun He

“…This study proposes a two-layer asynchronous distributed optimal voltage control (TADOVC) scheme for voltage source converter high voltage direct current (VSC-HVDC)-connected large-scale wind farm clusters (WFCs). …”
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Modified Silica Particles Coated with Cu-Al Layered Double Hydroxide for Phosphate and Arsenate Removal in Water Treatment by Andrija Savić, Marija M. Vuksanović, Marjetka Savić, Nataša Knežević, Aleksandra Šaponjić, Svetlana Ilić, Adela Egelja

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Neural models in diagnostics of the financial result of housing and utility enterprises by I. P. Kurochkina, I. I. Kalinin, L. A. Mamatova, E. B. Shuvalova

“…Neural networks can have a complex architecture when different  parts of the  neural  network  include  different  numbers  of connections and different neurons.The  article develops  the  ideas  laid  down  by its authors  in [7,  8], where a neural network  of direct propagation and a way of learning with a teacher have already been used. The model, described below, has been modified due to the authors’ desire to improve it, as well as dictated by the specifics of the housing and utility companies: a list of key indicators has been developed that affect not the financial  result, but, consequently,  the financial  condition of companies in this sector of the Russian  economy;  the number  of input factors characterizing the input sample was increased,  each direct factor or group of direct factors was supplemented  with an indirect factor; direct and indirect factors explaining the same processes are combined  into clusters that influence  the  corresponding  neuron;  the  number  of neurons  in  the output layer has been expanded, the number of classes has been increased, the data are classified by means of the neural network in more detail; in the course of the program, it is possible to select the period to which  the input data (month, quarter,  half year,  year) belong. …”
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Refining Graduation Classification Accuracy with Synergistic Deep Learning Models by Son Nguyen Thi Kim, Quynh Nguyen Huu, Minh Bui Tuan

“…The integration of Adaptive Layer Normalization (AdaLN) in the Transformer also helps stabilize the learning process and minimize overfitting. …”
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A Comprehensive Simplified Algorithm for Heat Transfer Modeling of Medium-Deep Borehole Heat Exchangers Considering Soil Stratification and Geothermal Gradient by Boyu Li, Fei Lei, Zibo Shen

“…Medium-deep borehole heat exchanger (BHE) systems represent an emerging form of ground source heat pump technology. Their heat transfer process is significantly influenced by geothermal gradient and soil stratification, typically simulated using segmented finite line source (SFLS) models. …”
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ENERGY ABSORPTION STUDY OF FLEXIBLE ELASTIC DOT MATRIX SUPPORT BASED ON DLP PROCESS by FANG Chuang, JI XiaoGang, DENG Lin, WANG Wei

“…Based on the geometric topology design of the cell structure, the equivalent mechanical model of the cell structure was established by using Timoshenko beam theory to obtain a mathematical model for predicting energy absorption, and the influence of cell geometry and load direction was analyzed in focus. …”
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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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Triadic balance and network evolution in predictive models of signed networks by Hsuan-Wei Lee, Pei-Chin Lu, Hsiang-Chuan Sha, Hsini Huang

“…To address the complexity of multi-layer networks derived from signed networks, we modify the temporal exponential random graph model framework. …”
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Investigation of the effect of turbulence models for CFD simulations of dynamic airfoils by Sinem Keskin, Mustafa Serdar Genç

“…The study found that the SST model exhibited inviscid flow characteristics, while the SST with intermittency and Transition SST models captured the boundary layer behavior more effectively, including the separation and reattachment processes. …”
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Evaluation of Machine Learning Models for Enhancing Sustainability in Additive Manufacturing by Waqar Shehbaz, Qingjin Peng

“…Additive manufacturing (AM) presents significant opportunities for advancing sustainability through optimized process control and material utilization. This research investigates the application of machine learning (ML) models to directly associate AM process parameters with sustainability metrics, which is often a challenge by experimental methods alone. …”
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Drying characteristics of green pellets based on the Weibull and Dincer models by Xiaoping Zhang, Zihao Fan, Hongliang Wu, Junqiang Cong, Jialong Yang, Baoliang Wen

“…This study investigates the impact of various drying conditions on the drying characteristic of green pellets and evaluates the applicability of the Weibull and Dincer models in describing the drying process of green pellets. …”
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Optimal Configuration of Physical Process Parameterization Scheme Combination for Simulating Meteorological Variables in Weather Research and Forecasting Model: Based on Orthogonal... by Zhengming Li, Hanqing Wang, Xinyu Liu, Da Yuan

“…To obtain the optimal combination of physical process parameterization schemes from the planetary boundary layer (PBL), land surface (LSF), microphysical (MP), long-wave (LW), and short-wave (SW) radiation processes of the WRF model for simulating the near-surface meteorological variables near a nuclear power plant in Sanshan Town, Fuqing City, Fujian Province, China on 4 June 2019 were observed. …”
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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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Controllable Fabrication of Gallium Ion Beam on Quartz Nanogrooves by Peizhen Mo, Jinyan Cheng, Qiuchen Xu, Hongru Liu, Chengyong Wang, Suyang Li, Zhishan Yuan

“…This study proposes a method based on focused ion beam technology and a layer-by-layer etching process, successfully preparing V-shaped and rectangular nanogrooves on a silicon dioxide substrate. …”
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Physical Parameterization Sensitivity of Noah-MP for Hydrothermal Simulation Within the Active Layer on the Qinghai–Tibet Plateau by Yongliang Jiao, Ren Li, Tonghua Wu, Xiaodong Wu, Shenning Wang, Jimin Yao, Guojie Hu, Xiaofan Zhu, Jianzong Shi, Yao Xiao, Erji Du, Yongping Qiao

“…The accurate modeling of complex freeze–thaw processes and hydrothermal dynamics within the active layer is challenging. …”
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