126 research outputs found

    The Impact of Language Policy on the Development of Bilingual Education for Minorities in China

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    This article talks about the development of language policies that were established since the foundation of People’s Republic of China in 1949. We consider that the language policy as the implementation of governing party’s linguistic sovereignty, which is related to political, educational, economic and social construction. As one of a number of multi-ethnic countries in the world, China has to face the problems of improving the quality and effectiveness of bilingual education for minorities. Compared with mass education, the bilingual education has specific purpose not only basically to transmit universal knowledge and educate its youth, but also to make a contribution for a harmoniously multicultural society via the benefit of maintenance of language diversity, language practice and language planning. According to the different languages used in bilingual education, normally bilingual education is distinguished into two categories in China, bilingual education for minorities and bilingual education for foreign languages. Hereby we are going to discuss the bilingual of minority language and Mandarin. Specifically, we take the development of bilingual education of Tibetan areas in west of Sichuan Province as a case study, analysing the connection between the main four phases of bilingual education for Tibetan and the implementation of language policy in past sixty years. Obviously, the national policy has an important effect on the use of minority languages for their education and family life. Although the bilingual education cannot be improved only by legislation, still the complete laws allow the educational activities for minorities’ languages and culture to obtain more public recognition to retain it. The implementation of national bilingual education should have specific national goals, educational purpose and language achievement, therefore giving it clear direction for a successful outcome.

    Influence of anisotropic stress path and stress history on stiffness of calcareous sands from Western Australia and the Philippines

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    Investigation of dynamic properties of carbonate/calcareous soils is important in earthquake and offshore engineering as these soils are commonly encountered in large-scale projects related with energy geomechanics and land reclamation. In this study, the stiffness and stiffness anisotropy of two types of calcareous sands (CS) from the Western Australia and the Philippines were examined using bender elements configured in different directions in stress path setups. Stiffness measurements were taken on specimens subjected to constant p′ compression/extension and biaxial stress paths and additional tests were performed on three types of silica sands with different geological origins and particle shapes, which were used as benchmark materials in the study. Compared with the three brands of silica sands, the stiffness of the CS was found to be more significantly influenced by anisotropic loading; an important observation of the experimental results was that stress anisotropy had different weighted influences on the stiffness in different directions, thus influencing stiffness anisotropy. Comparisons were made between the specimens subjected to complex loading paths, and respected model parameters as suggested from published expressions in the literature. These comparisons further highlighted that calcareous soils have different responses in terms of stiffness, stiffness anisotropy and loading history, compared with that of silica-based sands

    Effectiveness of Dynamic Compaction on Liquefied Foundation in Highway Practice

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    In this paper, the in-situ dynamic compaction tests with different values of single-drop-compaction energy are performed on a liquefiable ground encountered in highway engineering practice. Excess pore pressure, total surface settlement and lateral deformation under dynamic compaction impact are measured and analyzed at different conditions, such as single drop-compaction-energy, drop numbers, depth of soil layer etc. The standard penetration test (SPT) is used for investigating the compaction effectiveness. The investigation results indicate dynamic compaction technique is an effective way for improving liquefiable ground in highway engineering practice. Relatively small single-drop-compaction energy and relatively more drop numbers should be adopted for improving natural sedimentary liquefiable ground with dynamic compaction. The in-situ dynamic compaction tests show that the effective effect range by dynamic compaction impact depends on the single-drop-compaction energy. It is also found that the measured maximum lateral deformation has a good linear relationship with the total vertical surface settlement

    Discrete element modeling of vibration compaction effect of the vibratory roller in roundtrips on gravels

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    This paper aims to study the vibration compaction mechanism of the vibratory roller on gravels using a two-dimensional discrete element method. The roadbed model was established by gravel particles with irregular shapes, which was closer to reality. The performance parameters of the vibratory roller, such as operating frequency and rolling velocity, were investigated to explore their influences on the operating efficiency of the vibratory roller in roundtrips. The frequencies of 15 Hz and 17 Hz were proved to be the optimal frequency and resonance frequency in the current simulations, respectively. The vibratory roller could achieve a better vibration compaction effect with less power consumption at the optimal frequency. In addition, the number of roundtrips and power consumption should be considered in the selection of the optimal rolling velocity. The movement direction and the contact force distribution of gravels were illustrated by the displacement field, velocity field, as well as the contact force chains. Our results provide a better understanding of the mechanical behavior of gravel particles and their interactions with the vibratory roller

    Global identification and functional prediction of cold-related lncRNAs in eggplant

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    Long noncoding RNAs (lncRNAs) play critical roles in plant development and stress responses. So far, identification of lncRNA in eggplant response to stresses has been limited and the role in mediating response to cold stress is yet to be characterized in eggplant. In this study, there is reported the first dataset of lncRNAs responsive to cold stress in the cold tolerant and sensitive eggplants using RNA sequencing (RNA-seq). 227 and 225 differentially expressed (DE) lncRNAs were obtained in two genotypes with differential cold-tolerance. Functional characterization through gene ontology (GO) analysis indicated that target genes were particularly related to acyl-CoA dehydrogenase activity and pseudouridine synthase activity, which could result in the tolerant phenotypes. Kyoto Encyclopaedia of Genes and Genomes (KEGG) showed that target genes in both sensitive and tolerant eggplants were mainly involved in cold responsive pathways such as oxidative phosphorylation, peroxisome, protein processing in endoplasmic reticulum, ubiquitin mediated proteolysis and so on. However, the enriched pathways obtained by enrichment analysis in cold-tolerant eggplant were different from those in cold-sensitive eggplant, which further indicated the reason for different tolerances. Our findings highlight the potential contributions of lncRNAs in regulating eggplant response to cold stress and difference in cold tolerance

    A rapid and reliable method for the determination of Lactiplantibacillus plantarum during wine fermentation based on PMA-CELL-qPCR

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    Real-time monitoring of microbial dynamics during fermentation is essential for wine quality control. This study developed a method that combines the fluorescent dye propidium monoazide (PMA) with CELL-qPCR, which can distinguish between dead and live microbes for Lactiplantibacillus plantarum. This method could detect the quantity of microbes efficiently and rapidly without DNA extraction during wine fermentation. The results showed that (1) the PMA-CELL-qPCR enumeration method developed for L. plantarum was optimized for PMA treatment concentration, PMA detection sensitivity and multiple conditions of sample pretreatment in wine environment, and the optimized method can accurately quantify 104–108 CFU/mL of the target strain (L. plantarum) in multiple matrices; (2) when the concentration of dead bacteria in the system is 104 times higher than the concentration of live bacteria, there is an error of 0.5–1 lg CFU/mL in the detection results. The optimized sample pretreatment method in wine can effectively reduce the inhibitory components in the qPCR reaction system; (3) the optimized PMA-CELL-qPCR method was used to monitor the dynamic changes of L. plantarum during the fermentation of Cabernet Sauvignon wine, and the results were consistent with the plate counting method. In conclusion, the live bacteria quantification method developed in this study for PMA-CELL-qPCR in L. plantarum wines is accurate in quantification and simple in operation, and can be used as a means to accurately monitor microbial dynamics in wine and other fruit wines

    Virtual histological staining of unlabeled autopsy tissue

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    Histological examination is a crucial step in an autopsy; however, the traditional histochemical staining of post-mortem samples faces multiple challenges, including the inferior staining quality due to autolysis caused by delayed fixation of cadaver tissue, as well as the resource-intensive nature of chemical staining procedures covering large tissue areas, which demand substantial labor, cost, and time. These challenges can become more pronounced during global health crises when the availability of histopathology services is limited, resulting in further delays in tissue fixation and more severe staining artifacts. Here, we report the first demonstration of virtual staining of autopsy tissue and show that a trained neural network can rapidly transform autofluorescence images of label-free autopsy tissue sections into brightfield equivalent images that match hematoxylin and eosin (H&E) stained versions of the same samples, eliminating autolysis-induced severe staining artifacts inherent in traditional histochemical staining of autopsied tissue. Our virtual H&E model was trained using >0.7 TB of image data and a data-efficient collaboration scheme that integrates the virtual staining network with an image registration network. The trained model effectively accentuated nuclear, cytoplasmic and extracellular features in new autopsy tissue samples that experienced severe autolysis, such as COVID-19 samples never seen before, where the traditional histochemical staining failed to provide consistent staining quality. This virtual autopsy staining technique can also be extended to necrotic tissue, and can rapidly and cost-effectively generate artifact-free H&E stains despite severe autolysis and cell death, also reducing labor, cost and infrastructure requirements associated with the standard histochemical staining.Comment: 24 Pages, 7 Figure
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