In-situ reduction of heavy metal contaminated soil by hydrocyclone based on axial sorting of particles

Journal of Hazardous Materials, Journal Year: 2025, Volume and Issue: 491, P. 137912 - 137912

Published: March 11, 2025

Language: Английский

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The Media Spatial Diffusion Effect and Distribution Characteristics of AI in Education: An Empirical Analysis of Public Sentiments Across Provincial Regions in China

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(6), P. 3184 - 3184

Published: March 14, 2025

With the rapid integration of artificial intelligence (AI) technologies in field education, public sentiment towards this development has gradually emerged as an important area research. This study focuses on analysis online opinions regarding application AI education. Python was used to scrape relevant comments from various provinces China. Using SnowNLP algorithm, sentiments were classified into three categories: positive, neutral, and negative. The primarily analyzes spatial distribution characteristics positive negative sentiments, with a visualization results through Geographic Information Systems (GIS). Additionally, Moran’s I Getis-Ord Gi* are introduced detect autocorrelation attitudes. Furthermore, by constructing multivariable geographical detector model MGWR, explores impact factors such digital economy, construction smart cities, local government policy attention, literacy residents, level education infrastructure research will reveal regional disparities education-related its driving mechanisms, providing data support empirical references for optimizing

Language: Английский

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Fe(III) Adsorption onto Microplastics in Aquatic Environments: Interaction Mechanism, Influencing Factors, and Adsorption Capacity Prediction

Water, Journal Year: 2025, Volume and Issue: 17(9), P. 1316 - 1316

Published: April 28, 2025

The adsorption of Fe(III) onto the surface microplastics (MPs) enhances their toxicity and mobility in aquatic environments, posing a serious threat to human health ecosystem balance. This study investigated mechanism influencing factors on three types MPs with varying particle sizes aging degrees using batch experiments freshwater saltwater. Machine learning (ML) techniques were employed predict capacity conduct attribution analysis. results showed that both saltwater followed Pseudo-First-Order kinetics Langmuir isotherms, indicating monolayer homogeneous physical reaction driven by oxygen-containing functional groups, hydrogen bonds aromatic rings MP surface. for was higher than saltwater, positively correlated degree pH value, but negatively size. Among tested ML models, Random Forest Gaussian Process Regression models Bayesian Optimization performed well predicting capacity, value identified as key based SHAP conducted comprehensive investigation behavior between water, providing valuable insights risk assessment prevention pollution environments.

Language: Английский

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Coupling coordination degree, interaction relationship and driving mechanism of water resources carrying capacity of Beijing-Tianjin-Hebei urban agglomeration in China

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 145433 - 145433

Published: April 1, 2025

Language: Английский

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Identifying spatial drivers of soil heavy metal pollution risk integrating positive matrix factorization, machine learning, and multi-scale geographically weighted regression

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 485, P. 136841 - 136841

Published: Dec. 10, 2024

Language: Английский

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