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1. Predictive Machine Learning Model to Assess the Adsorption Efficiency of Biochar-Heavy Metals for Effective Remediation of Soil–Plant Environment.

2. Quantitative Soil Characterization for Biochar–Cd Adsorption: Machine Learning Prediction Models for Cd Transformation and Immobilization.

3. Biochar Blended with Alkaline Mineral Can Better Inhibit Lead and Cadmium Uptake and Promote the Growth of Vegetables.

4. Dependence of Metolachlor Adsorption by Biochar on Soil Properties in South China.

5. Biochar Derived from Urban Green Waste Can Enhance the Removal of Cd from Water and Reduce Soil Cd Bioavailability.

6. Clinical and Genetic Characteristics of a Cohort with Distal Vaginal Atresia.

7. Diminishing Heavy Metal Hazards of Contaminated Soil via Biochar Supplementation.

8. Fractionation of Heavy Metals in Multi-Contaminated Soil Treated with Biochar Using the Sequential Extraction Procedure.

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