50 research outputs found

    Two-way ANOVA analysis for the number of <i>L</i>. <i>serricorne</i> in whole wheat flour packaged with nonwoven cloth bags and kraft paper bags after 45 days storage at 27 ± 2°C and 75 ± 5% relative humidity.

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    <p>Two-way ANOVA analysis for the number of <i>L</i>. <i>serricorne</i> in whole wheat flour packaged with nonwoven cloth bags and kraft paper bags after 45 days storage at 27 ± 2°C and 75 ± 5% relative humidity.</p

    Repeated measures analysis of variance within subject effects for the contact toxicity of <i>Alpinia</i> extract against <i>L</i>. <i>serricorne</i> adults at the doses of 0, 0.02, 0.04, 0.08 and 0.16 μL/cm<sup>2</sup> after 12, 24, 48 and 72 h exposure, respectively.

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    <p>Repeated measures analysis of variance within subject effects for the contact toxicity of <i>Alpinia</i> extract against <i>L</i>. <i>serricorne</i> adults at the doses of 0, 0.02, 0.04, 0.08 and 0.16 μL/cm<sup>2</sup> after 12, 24, 48 and 72 h exposure, respectively.</p

    The number of <i>L</i>. <i>serricorne</i> population in whole wheat flour packaged with nonwoven cloth bags and kraft paper bags after 45 days storage at 27 ± 2°C and 75 ± 5% relative humidity.

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    <p>The number of <i>L</i>. <i>serricorne</i> population in whole wheat flour packaged with nonwoven cloth bags and kraft paper bags after 45 days storage at 27 ± 2°C and 75 ± 5% relative humidity.</p

    Repeated measures analysis of variance between subjects effects for the contact toxicity of <i>Alpinia</i> extract against <i>L</i>. <i>serricorne</i> adults at the doses of 0.02, 0.04, 0.08 and 0.16 μL/cm<sup>2</sup> after 12, 24, 48 and 72 h exposure, respectively.

    No full text
    <p>Repeated measures analysis of variance between subjects effects for the contact toxicity of <i>Alpinia</i> extract against <i>L</i>. <i>serricorne</i> adults at the doses of 0.02, 0.04, 0.08 and 0.16 μL/cm<sup>2</sup> after 12, 24, 48 and 72 h exposure, respectively.</p

    Repeated measures analysis of variance between subjects effects for the repellent activity of <i>Alpinia</i> extract against <i>L</i>. <i>serricorne</i> adults at the doses of 0.025, 0.05, 0.10 and 0.20 μL/cm<sup>2</sup> after 12, 24, 36 and 48 h exposure, respectively.

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    <p>Repeated measures analysis of variance between subjects effects for the repellent activity of <i>Alpinia</i> extract against <i>L</i>. <i>serricorne</i> adults at the doses of 0.025, 0.05, 0.10 and 0.20 μL/cm<sup>2</sup> after 12, 24, 36 and 48 h exposure, respectively.</p

    Sample policies for PMC-Index model.

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    The special public funding policies, formulated and implemented by provincial governments, plays an important role in the development of private universities in China. However, there is a lack of scientific evaluation on the rationality and completeness of the provincial special public funding policy of China’s private colleges and universities. Therefore, this paper uses PMC-index model and text mining technology to establish an evaluation index system for the provincial special public funding policy of private universities in China. Based on PMC-Index and PMC-Surface, 13 policy texts issued since 2010 were evaluated scientifically. The results show that the average PMC-Index of the 13 policies is 6.97, and the PMC-Surface map is smooth, which indicates that the overall structure of these policies is reasonable and the policy content has certain completeness. Only one policy is unacceptable. Through further analysis, we found that there is still much room for improvement in the content design of the sample policy, and its rationality and completeness are related to the publication time. This study is helpful to fully understand the advantages and disadvantages of the provincial special public funding policy of private universities in China.</div

    Standardized bias of covariates.

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    Population aging and migration are two important phenomena in the process of social development in China, which have a significant impact on industrial structure upgrading. This study explores the moderating effect of the population migration on the population aging impacting the industrial structure upgrading based on Chinese provincial panel data from 2000 to 2021. The results demonstrate that the population aging has become a development trend of China’s population, and it has a significantly hinder industrial structure upgrading. Furthermore, the population migration resulting diffusion and convergence of economic factors has a meaningful moderating effects on the population aging impacting the industrial structure upgrading. Our study suggests that a reasonable and orderly population migration is critical in achieving stable and sustainable industrial structure upgrading, especially in the context of the China’s population aging.</div

    Interactive regression test of the moderating effects of the population migration on the population aging impacting the industrial structure upgrading.

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    Interactive regression test of the moderating effects of the population migration on the population aging impacting the industrial structure upgrading.</p

    Pearson correlation analysis of the panel data.

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    Population aging and migration are two important phenomena in the process of social development in China, which have a significant impact on industrial structure upgrading. This study explores the moderating effect of the population migration on the population aging impacting the industrial structure upgrading based on Chinese provincial panel data from 2000 to 2021. The results demonstrate that the population aging has become a development trend of China’s population, and it has a significantly hinder industrial structure upgrading. Furthermore, the population migration resulting diffusion and convergence of economic factors has a meaningful moderating effects on the population aging impacting the industrial structure upgrading. Our study suggests that a reasonable and orderly population migration is critical in achieving stable and sustainable industrial structure upgrading, especially in the context of the China’s population aging.</div

    Variable selection and evaluation criteria of PMC-Index model evaluation.

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    Variable selection and evaluation criteria of PMC-Index model evaluation.</p
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