Publications by authors named "Bingyu Dong"

Article Synopsis
  • - Construction safety is crucial as accidents can lead to significant property damage and loss of life, prompting research into their causes.
  • - The study introduces a hybrid approach that combines the Human Factors Analysis and Classification System (HFACS) with Complex Network (CN) theory to analyze 863 construction accident cases and identify 46 causal factors.
  • - By establishing an accident causal network, the research reveals six critical factors influencing accidents, enhancing the understanding of both the HFACS framework and CN theory, ultimately improving safety management in the construction sector.
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Infectious diseases caused by pathogenic microorganisms are a significant burden on public health and the economic stability of societies all over the world. The appearance of drug-resistant bacteria has severely blocked the effectiveness of conventional antibiotics. Therefore, developing novel antibiotic-free strategies to combat bacteria holds huge potential for maximizing validity and minimizing the risk of enhancing bacterial resistance.

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With the development of commodity economy, the emergence of fake and shoddy raisin has seriously harmed the interests of consumers and enterprises. To deal with this problem, a classification method combining near-infrared spectroscopy and pattern recognition algorithms were proposed for adulterated raisins. In this study, the experiment was performed by three kinds of raisins in Xinjiang (Hongxiangfei, Manaiti, Munage).

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Zhejiang Suichang native honey, which is included in the list of China's National Geographical Indication Agricultural Products Protection Project, is very popular. This study proposes a method of Raman spectroscopy combined with machine learning algorithms to accurately detect low-concentration adulterated Suichang native honey. In this study, the native honey collected by local beekeepers in Suichang was selected for adulteration detection.

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HAT tag, a natural His affinity tag, is one of the most popular fusion tags. However, HAT tag containing three positive charges limited its self-assembly with quantum dots (QDs). Herein, ATTO 590-labeled HAT peptide was synthesized to self-assemble with QDs inside the capillary.

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Nanoparticles provide significantly enhanced binding characteristics. However, fast online probing of the self-assembly process remains hard to achieve in practice. Herein, we report a fluorescence coupled CE method for probing the self-assembly events between quantum dots (QDs) and engineered Jumonji domain-containing protein 6 (Jmjd6) enzyme.

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Herein, we designed four peptides appended with different numbers of histidine (Hisn -peptide). We launched a systematic investigation on quantum dots (QDs) and Hisn -peptide self-assembly in solution using fluorescence coupled CE (CE-FL). The results indicated that CE-FL was a powerful method to probe how ligands interaction on the surface of nanoparticles.

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