Analytical solutions for the forced KdV equation with variable coefficients by Ji Wang, Jia Fu, Jialin Dai

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RAP variability intelligent control framework for hot in-plant recycling of asphalt pavement by Guangji Xu, Mengze Du, Zan Shen, Fan Yang, Chengjia Han

“…After the implementation of the classification and storage method, the coefficient of variation in the passing rate of each sieve in the recycled asphalt mixtures was reduced, and the coefficient of variation in the oil-stone ratio decreased by 1.6 %, demonstrating a significant reduction in variability. …”
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Impact of the Belt and Road Initiative on Poverty Reduction in Countries along the Route by Wei Ma, Na Bo, Yang Song, Fuwei Qiao

“…The results show that (1) the BRI can significantly reduce the incidence of poverty with the impact coefficient stable at −0.26, and the empirical conclusion has passed the parallel test, placebo test, and instrumental variable test; (2) the mediating effect test model shows that the BRI can achieve poverty reduction through the dual openness of trade and investment, and the intermediary effect of trade openness is greater than investment openness; and (3) from the perspective of heterogeneity analysis, geographically, the BRI has a slightly higher role in promoting poverty reduction in landlocked countries than in coastal countries. …”
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Impacts of Climate Variability and Human Activities on the Changes of Runoff and Sediment Load in a Catchment of the Loess Plateau, China by Peng Tian, Xingmin Mu, Jianli Liu, Jinfei Hu, Chaojun Gu

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Diversity Hotspots and Vulnerability of Pine Species in the Sierra Madre Occidental, Western Mexico by Lizeth Ruacho‐González, José Javier Corral‐Rivas, Jesús Guadalupe González‐Gallegos, M. Socorro González‐Elizondo, Pablito Marcelo López‐Serrano, Jaime Briseño‐Reyes

“…The distribution of 19 pine species was modeled based on 7020 records. Environmental variables were carefully selected from WorldClim 2.1, by multicollinearity elimination and then selecting those with a strong correlation to species presence (Spearman's coefficient ρ > 0.70). …”
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Spatial analysis of vitality indicators with emphasis on urban roads in Mashhad metropolis by Ahmad hajarian

“…The study results show that regions 9, 1, and 4 have the highest, and regions 3, 12, and 10 have the lowest levels of vitality indicators with an emphasis on urban roads in Mashhad. Based on the results of the PLS structural equation testing, the leisure and recreation variable with a total impact coefficient of 0.658 has the greatest impact on vitality with an emphasis on urban roads. …”
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Influence of high Andean grasslands on landslide reduction in Peru by Albert Franco Cerna-Cueva, Katherin Lourdes Uriarte-Barraza, Grecia Isabel Lobatón-Tarazona, Wensty Saenz-Corrales, Casiano Aguirre-Escalante, Peter Coaguila-Rodriguez, Manuel Reategui-Inga

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Modelling the Trend of Zagros Forest Degradation using Logistic Regression (Case study: Chardavol Forest of Ilam province) by Ali Mahdavi, Somayeh Rangin, Hossein Mehdizadeh, Vahid Mirzaei Zadeh

“…This amount of forest cover reduction includes 382.68 ha annually. In addition, the results of modelling showed that aspect variable with the highest coefficient (0.7267) is probably the most biophysical factor affecting on deforestation in the study area. …”
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Seismic Behavior of Box Steel Bridge Pier with Built-In Energy Dissipation Steel Plates by Xue Han, Anlong Jiang, Jinhuo Zheng, Xiangui Zhou, Yewei Chen, Sibao Fang, Xin Li, Jianhua He, Haifeng Li

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Optimization of clayey soil parameters with aeolian sand through response surface methodology and a desirability function by Ghania Boukhatem, Messaouda Bencheikh, Mohammed Benzerara, Mehmet Serkan Kırgız, N. Nagaprasad, Krishnaraj Ramaswamy, Souhila Rehab-Bekkouche, R. Shanmugam

“…Mathematical models are developed and statistically validated using the clay and aeolian sand contents as predictive variables, while key parameters such as the maximum dry density (MDD), cohesion (C), internal friction angle (ϕ), compressibility coefficient (Cc), and swelling coefficient (Cs) serve as response metrics. …”
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Absorbing Aerosol Effects on Hyperspectral Surface and Underwater UV Irradiances from OMI Measurements and Radiative Transfer Computations by Alexander Vasilkov, Nickolay Krotkov, Matthew Bandel, Hiren Jethva, David Haffner, Zachary Fasnacht, Omar Torres, Changwoo Ahn, Joanna Joiner

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Rapid detection of volatile fatty acids in biogas slurry using near-infrared spectroscopy combined with optimized wavelength selection and partial least squares regression by Honglin Wang, Jinming Liu, Pengfei Li, Chong Tan

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Steady-State Car-Following Time Gaps: An Empirical Study Using Naturalistic Driving Data by Amara Loulizi, Youssef Bichiou, Hesham Rakha

“…Results also showed that the variability within drivers was more significant at speeds higher than 54 km/h. …”
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