Effect of [C12mim][Cl]-NaCl compound solutions on pore structure and wetting characteristics of bituminous coal based on Pearson correlation coefficient

Ling, Yan; Gong, Li; Ni, Guanhua; Zhang, Xiangfei; Li, Zhao; Li, Moyu

doi:10.1016/j.molliq.2024.125734

Journal of Molecular Liquids

2024

DOI: 10.1016/j.molliq.2024.125734

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Effect of [C12mim][Cl]-NaCl compound solutions on pore structure and wetting characteristics of bituminous coal based on Pearson correlation coefficient

Yan Ling,

Li Gong,

Guanhua Ni

et al.

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2024

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Cited by 4 publications

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Determination of Key Groups of Coal Spontaneous Combustion and Risk Prediction Based on Ultrasonic Extraction

Lu,

Zhao,

et al. 2024

ACS Omega

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In order to accurately investigate the key microstructures in the spontaneous combustion exothermic process of coal, an ultrasonic extraction method was employed to extract the coal, and the complex microscopic groups within it were stripped and studied. On this basis, Fourier transform infrared spectroscopy and differential scanning calorimetry were employed to assess the content of microscopic groups and the exothermic characteristics of the raw and extracted coal samples. The findings indicated that toluene and methanol demonstrated a notable capacity for extracting aromatic and aliphatic hydrocarbon compounds from coal, whereas N-methyl pyrrolidone (NMP) and ethylenediamine (EDA) exhibited a pronounced effect on oxygen-containing functional groups and hydroxyl groups. The heat flow curves and spontaneous combustion risk indices of the extracted coal samples were reduced to varying degrees, and the coal-oxygen reaction was suppressed. The order of the coal samples' spontaneous combustion risk indices was E-EDA, E-NMP, E-methanol, and E-toluene, with the latter having the lowest value. The effects of −OH-a and oxygen-containing functional groups on the spontaneous combustion exotherm of the coal samples were greater. The Pearson correlation coefficient method was employed to identify the key groups with the highest correlation with the risk indices of coal. These were found to be −CH 2 − and −OH-a, respectively. A multivariate linear regression model for predicting the spontaneous combustion risk of coal was subsequently established. The results demonstrated that −CH 2 − had a more significant effect on the spontaneous combustion risk index than that of −OH-a.

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Determination of Key Groups of Coal Spontaneous Combustion and Risk Prediction Based on Ultrasonic Extraction

Lu,

Zhao,

et al. 2024

ACS Omega

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Modeling Kindergarten Teachers’ Leadership in Child Care Education and Its Contribution to Teaching Quality

Wang

2024

Applied Mathematics and Nonlinear Sciences

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This paper synthesizes the theories of kindergarten care education and leadership, constructs the kindergarten teachers’ leadership model of care education, and defines the four independent variables of the model. The questionnaire design is completed through interviews and references to related literature. The reliability and validity of the research data based on the questionnaire are evaluated, and the method of analysis and calculation process are provided. Using this data analysis method, the leadership model of kindergarten teachers in childcare education and the quality of teaching and learning are empirically analyzed. The results show that the leadership model of kindergarten teachers’ childcare education has a significant positive correlation with the quality of teaching and learning, and the regression equation between the two is teaching and learning quality = 1.838+0.276*leadership traits + 0.150*leadership behaviors + 0.171*leadership context + 0.153*leadership theory of change, and there is no multicollinearity, which reveals the mechanism of the interaction between the leadership model of kindergarten teachers’ childcare education and the quality of teaching and learning. The mechanism of action in teaching quality can elevate kindergarten teaching quality to a new level.

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Research on Data-Driven Visual Element Positioning and Brand Impact Analysis Methodology

Huang

2024

Applied Mathematics and Nonlinear Sciences

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Visual element positioning is the main soul of a brand, which can directly give the public the brand identity from the appearance impression and can play an icing on the cake for the enhancement of brand influence. In this paper, we collect consumers’ online review data and preprocess the data, extract the keywords of visual element positioning and brand influence using the TF-IDF algorithm, and then analyze consumers’ sentiment scores for each dimension using the sentiment value calculation method. Finally, a multiple-step regression model is constructed based on correlation analysis and data-driven analysis to analyze the relationship between visual element positioning and brand influence. The results show that there is a significant positive correlation between the visual element positioning of the sign and each dimension of brand influence (r>0, P<0.05). And the logo design (P=0.010<0.05) and auxiliary graphic design (P=0.000<0.05) in visual element positioning can have a significant positive impact on brand purchase tendency and brand identity. This paper shows that visual element positioning can promote the development of brand products, provide a reference for good and accurate image positioning of the brand, help improve the brand value and uniqueness, and then improve the brand influence.

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Effect of [C12mim][Cl]-NaCl compound solutions on pore structure and wetting characteristics of bituminous coal based on Pearson correlation coefficient

Cited by 4 publications

References 40 publications

Determination of Key Groups of Coal Spontaneous Combustion and Risk Prediction Based on Ultrasonic Extraction

Determination of Key Groups of Coal Spontaneous Combustion and Risk Prediction Based on Ultrasonic Extraction

Modeling Kindergarten Teachers’ Leadership in Child Care Education and Its Contribution to Teaching Quality

Research on Data-Driven Visual Element Positioning and Brand Impact Analysis Methodology

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