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Showing 1 - 20 results of 32 for search 'variable road (reduction OR education) coefficient', query time: 0.13s Refine Results
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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

    Published 2022-01-01
    “…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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    RAP variability intelligent control framework for hot in-plant recycling of asphalt pavement by Guangji Xu, Mengze Du, Zan Shen, Fan Yang, Chengjia Han

    Published 2025-06-01
    “…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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    Spatial analysis of vitality indicators with emphasis on urban roads in Mashhad metropolis by Ahmad hajarian

    Published 2024-12-01
    “…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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    Multistakeholder Assessment of Project-Based Service-Learning in Medical Education: A Comparative Evaluation by Liao SC, Hung YN, Chang CR, Ting YX

    Published 2025-05-01
    “…Shih-Chieh Liao,1 Yueh-Nu Hung,2 Chia-Rung Chang,1 You-Xin Ting1 1School of Medicine, China Medical University, Taichung City, Taiwan; 2Department of English, National Taichung University of Education, Taichung City, TaiwanCorrespondence: Yueh-Nu Hung, Department of English, National Taichung University of Education, 140 min-Sheng Road, Taichung, 403, Taiwan, Tel +886 4 22183845, Fax +886 4 22183460, Email yuehnuhung@gm.ntcu.edu.twPurpose: Traditional single-assessment models in service-learning courses do not facilitate comprehensive assessments of learning outcomes. …”
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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

    Published 2025-07-01
    “…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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    The speed of reaction and motor response and its relation to the performance of the skill of rapid attack collective handball students in the third grades Faculty of Physical Educa... by م.د. عبد الناصر مرزة

    Published 2018-12-01
    “…The researcher concluded the following conclusions: 1- The speed of reaction and motor response possessed by students of the third stage individuals of the research sample handball is enough to maintain the level of performance of the skill of rapid attack collective handball at a good level. 2- The speed of reaction and motor response contribute to the performance of rapid attack skill successfully by students handball. 3 - Statistical processes showed a correlation coefficient between the two variables (variable reaction speed and motor response and quick attack skill) in the direction of the road. …”
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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

    Published 2018-09-01
    “…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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    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

    Published 2025-08-01
    “…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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