Publications by authors named "Bailian Larry Li"

The concept of a geometric series (GS) plays an important role in mathematics. However, it has been neglected in describing biological size series. Herein, we show that a GS describes the nonreproductive (perianth) parts of the flowers of four Magnoliaceae species and two Rosaceae species and the leaves of 60 Alangium chinense and 60 Shibataea chinensis shoots.

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The coexistence of microplastics and heavy metals in soil can lead to more intricate environmental effects. While plant growth-promoting bacteria have been widely recognized for enhancing the remediation of heavy metal-contaminated soils, little research has been conducted to investigate whether they can alleviate the stress of microplastic-heavy metal composite contamination on plants. We investigated the effects of isolated and screened plant growth-promoting bacteria on the growth and cadmium (Cd) accumulation of under the composite pollution of Cd and polypropylene (PP) with different particle sizes (6.

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The quartz sand-enhanced coagulation (QSEC) is an improved coagulation method for treating water, which uses quartz sand as a heavy medium to accelerate the sedimentation rate of flocs and reduce the sedimentation time. The factors that influence the QSEC effect and can be controlled manually include the quartz sand dosage, coagulant dosage, sewage pH, stirring time, settling time, etc., and their reasonable setting is critical to the result of water treatment.

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Article Synopsis
  • This study focuses on predicting municipal solid waste (MSW) generation to enhance waste management effectiveness by developing accurate models and analyzing key influencing variables.
  • Over 50 municipal variables were assessed, grouped into four main categories: urban greening, population size/residential density, regional economic development, and resident income/expenditure.
  • The back propagation (BP) neural network yielded the highest prediction accuracy among seven machine learning methods, with Shandong province leading at 93.8% accuracy, demonstrating the importance of regional GDP and retail sales on MSW generation.
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