International Migration and Its Consequences Affecting Population Management in Isfahan Province: A Grounded Theory Study by Mohammad Hosain Ghanbari Jahromi, Javad Esteki, Hamid Nazari

“…Using the foundational data theory method, we evaluated the migration process and its impacts guided by Glaser's theory (1978). …”
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Methodology for Developing a Composite Social Development Index (CSDI): Essential Decisions and Results by Mehdi Mobaraki, Zohre Shahbazi, Najme Mostafavi

“…Such an indicator can improve data management, enhance analysis, optimize resource utilization, and facilitate comparisons across different regions. …”
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Removal of Malachite Green Dye from Aqueous Solution by a Novel Activated Carbon Prepared from Baobab Seeds Using Chemical Activation Method by Samah Daffalla

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Research Paper: Designing a Broadband Achromatic Quarter Wave System in the Visible Region by Masoud Kavosh Tehrani, Mohammad Reza Nejat

“…The degree of achromatization calculates the difference between the obtained and desired phase delays, which should be minimized in the optimization. …”
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Can “energy-saving and emission reduction” demonstration city pilot alleviate carbon inequality in Chinese cities? by Yong Fang, Minghao Li, Xueyan Chen, Chuyuan Wang

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Numerical Simulation-Based Study on the Arching Effect in Subsequent Backfill by Xuebin Xie, Wei Wang

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Has China’s Housing Security Policy Affected the Housing Market?—Analysis Based on Housing Market Data from 35 Monitored Cities by Guangjun Deng, Weihan Zhou, Dingxing Wang

“…By analyzing housing prices, sales, and investment trends with advanced statistical methods, we found that increasing the supply of affordable housing significantly slows down rising home prices, especially in cities with high housing costs. …”
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Weighted GBLUP in Simulated Beef Cattle Populations: Impact of Reference Population, Marker Density, and Heritability by Le Zhou, Lin Zhu, Chencheng Chang, Fengying Ma, Zaixia Liu, Mingjuan Gu, Risu Na, Wenguang Zhang

“…While it has shown significant effects in dairy cattle, its efficacy in beef cattle is lower due to breed diversity and differences in reproductive structures. Therefore, this study evaluated the impact of heritability levels, marker densities, and assessment methods (such as pedigree-based BLUP, genomic BLUP, and weighted genomic BLUP) on genomic prediction accuracy across multiple beef cattle breeds through simulations. …”
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Impact of Gas Diffusion Layer Compression on Electrochemical Performance in Proton Exchange Membrane Fuel Cells: A Three-Dimensional Lattice Boltzmann Pore-Scale Analysis by Hao Wang, Xiaoxing Yang, Guogang Yang, Guoling Zhang, Zheng Li, Lingquan Li, Naibao Huang

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Different strokes: differences in the characteristics and outcomes of BCVI and non-BCVI strokes in trauma patients by Lillian S Kao, Charles E Wade, Xu Zhang, Bryan A Cotton, Sean I Savitz, Michelle K McNutt, Cedar Slovacek, David Rosenbaum, Hari Kishan Reddy Indupuru, John Harvin

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Adaptive Variational Modal Decomposition–Dual Attention Mechanism Parallel Residual Network: A Tool Lifetime Prediction Method Based on Adaptive Noise Reduction by Jing Kang, Taiyong Wang, Yi Li, Ye Wei, Yaomin Zhang, Ying Tian

“…A tool lifetime prediction method based on AVMD-DAMResNet is proposed. The method first adapts the parameters of the variational modal noise reduction algorithm using an improved sparrow optimization algorithm, and then reconstructs the original vibration signal with noise reduction. …”
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A quality control method based on physical constraints and data-driven collaborative artificial intelligence for wind observations along high-speed railway lines by X. Xiong, J. Chen, Y. Zhang, X. Chen, Y. Zhang, X. Ye

“…On the other hand, to solve the constrained error mapping expression under different wind conditions, a data-driven model of hyperparameter optimization (BO-XGBoost) is introduced to perform error compensation on physical relationships. …”
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A Construction Method for a Coal Mining Equipment Maintenance Large Language Model Based on Multi-Dimensional Prompt Learning and Improved LoRA by Xiangang Cao, Xulong Wang, Luyang Shi, Xin Yang, Xinyuan Zhang, Yong Duan

“…Additionally, a fine-tuning approach based on the joint optimization of a mixture of experts (MoE) and low-rank adaptation (LoRA) is introduced, which employs multiple expert networks and task-driven gating functions to achieve the precise modeling of different maintenance tasks. …”
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A Novel Method for Traceability of Crude Oil Leakage on Offshore Platforms Based on Improved YOLOv5 Model Multi-Target Identification and Correlation Analysis by Zhenghua Wang, Shihai Zhang, Chongnian Qu, Zongyi Zhang, Feng Sun

“…Based on the positional relationship between the spilled crude oil target and the source target detection anchor frame, the possible source targets are classified into three association levels and assigned different association weights. By comprehensively applying parameters such as source-target association weight, leakage risk probability, and target overlap area, a calculation method of the association degree between the source target and the leaked crude oil target is proposed. …”
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A 3D Multipath Planning Method for Guided Vehicles Using Improved A∗ Algorithm Based on Multiple Avoidance Tactics and Terminal Attack Angles by Jun Huang, Pengfei Wu, Xiaobao Li, Yue Liu

“…Existing path planning methods have limitations such as random solutions, lack of sharing initial and terminal waypoints, and rare consideration of avoidance between multipaths in 3D. …”
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Development characteristics and intelligent identification method of natural fractures: A case study of the Upper Triassic Xujiahe Formation in the western Sichuan Depression, Sich... by LI Wei, WANG Min, XIAO Dianshi, JIN Hui, SHAO Haoming, CUI Junfeng, JIA Yidong, ZHANG Zeyuan, LI Ming

“…To evaluate the “sweet spot” enrichment area of the Xujiahe Formation gas reservoir, fracture development characteristics are identified and an effective fracture recognition method is established based on core observation, logging data, and intelligent algorithms. …”
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First Application of a New Rapid Method of Age Determination in European Anchovy (<i>Engraulis encrasicolus</i>) by Fourier Transform Near-Infrared Spectroscopy by Gualtiero Basilone, Miryam Fortuna, Gabriella Lo Cicero, Simona Genovese, Giovanni Giacalone, Ignazio Fontana, Angelo Bonanno, Salvatore Aronica, Rosalia Ferreri

“…FT-NIRS analyses proved suitable for predicting age, when applied to <i>E. encrasicolus</i> individuals within the age range of 0 to 3, also when compared to traditional aging methods. Moreover, this methodology improved the standardization of age estimates. …”
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A high-resolution remote sensing land use/land cover classification method based on multi-level features adaptation of segment anything model by Hui Yang, Zhipeng Jiang, Yaobo Zhang, Yanlan Wu, Heng Luo, Peng Zhang, Biao Wang

“…The generalization test on the LoveDA dataset, along with four test HRRS images exhibiting spatiotemporal and semantic scene differences, further demonstrate that MLFA-SAM possesses a stronger generalization ability compared to existing methods and shows greater potential for practical applications.…”
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Clean fishing: Construction of prediction model for high-catch Antarctic krill (Euphausia superba) fishing grounds based on deep learning and dynamic sliding window methods by Haibin Han, Bohui Jiang, Hongliang Huang, Yang Li, Jianghua Sui, Guoqing Zhao, Yuhan Wang, Heng Zhang, Shenglong Yang, Yongchuang Shi

“…The annual gravity center of the fishing grounds varied considerably between years and was mainly concentrated around the islands and in the strait. 2) Neither long- nor short-time-series historical data led to the best prediction. The optimal sliding window size for the 3DCNN was 4, whereas it was 11 for the 3DCNN-ConvLSTM model. 3) Climate change must be considered when selecting data, and the addition of biased data may negatively affect the model's predictive performance. 4) When using an optimal sliding window, the 3DCNN model outperformed the 3DCNN-ConvLSTM model. 5) The 3DCNN model tends to learn information about the environmental variables with the most significant differences in different categories of fishing grounds. …”
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Unraveling relevant cross-waves pattern drifts in patient-hospital risk factors among hospitalized COVID-19 patients using explainable machine learning methods by Fernanda Cristina Barbosa Lana, Carolina Coimbra Marinho, Bruno Barbosa Miranda de Paiva, Lucas Rocha Valle, Guilherme Fonseca do Nascimento, Leonardo Chaves Dutra da Rocha, Marcelo Carneiro, Joanna d‘Arc Lyra Batista, Fernando Anschau, Pedro Gibson Paraiso, Frederico Bartolazzi, Christiane Corrêa Rodrigues Cimini, Alexandre Vargas Schwarzbold, Danyelle Romana Alves Rios, Marcos André Gonçalves, Milena Soriano Marcolino

“…Methods This multicenter retrospective cohort included COVID-19 patients from 39 hospitals, from March/2020 to August/2022. …”
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