Publications by authors named "Zhoumin Lu"

Article Synopsis
  • Intercropping konjac with false acacia significantly decreases soft rot incidence compared to other intercropping systems like paulownia and maize.
  • The presence of beneficial bacteria like Bradyrhizobium and Variovorax was higher in false acacia intercropping, contributing to a healthier root environment.
  • Soil properties, particularly the levels of available phosphorus, played a crucial role in shaping the bacterial community in konjac roots and influenced disease susceptibility.
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Loquat leaves are the by-product of loquat fruit production. Polysaccharides are one of the main active ingredients in loquat leaves. In this study, polysaccharides were extracted from loquat leaves by ultrasonic-assisted deep eutectic solvents (DESs) extraction method.

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The goal of balanced clustering is partitioning data into distinct groups of equal size. Previous studies have attempted to address this problem by designing balanced regularizers or utilizing conventional clustering methods. However, these methods often rely solely on classic methods, which limits their performance and primarily focuses on low-dimensional data.

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Sulfite pretreatment is a productive process for lignin dissolution in lignocelluloses and to reduce the hydrophobicity of lignin by sulfonation, thus promoting the hydrolyzability of the substrate. Previously, sulfite pretreatment needs high dosages of chemicals and thus results in the high cost of the pretreatment and the great pressure of environmental pollution. To overcome these problems, it was crucial to research whether alkaline sulfite pretreatment (ALS) and acid sulfite pretreatment (ACS) with low chemical loading could enhance the saccharification of poplar.

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Multi-view clustering aims to discover common patterns from multi-source data, whose generality is remarkable. Compared with traditional methods, deep learning methods are data-driven and have a larger search space for solutions, which may find a better solution to the problem. In addition, more considerations can be introduced by loss functions, so deep models are highly reusable.

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Walnut (Juglans regia L.) is an important woody oil plant and will be affected by abiotic and biological stress during its growth and development. The WD-repeat (WD40) protein is widely involved in plant growth, development, metabolism, and abiotic stress response.

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This study aimed to evaluate the environmental impacts (i.e. global warming potential (GWP) and resource depletion (RD)) of the bio-based levoglucosan production process through fast pyrolysis of cotton straw via life cycle assessment (LCA).

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