1,078 research outputs found
The dizi (Chinese bamboo flute) its representative repertoires in the years from 1949 to 1985
This dissertation is a comprehensive study by a third generation Chinese professional flautist of the dizi (the Chinese Bamboo flute) and its representative repertoires during the “New China” (the People’s Republic of China; the PRC) era. The study was made by means of a discussion of the instrument’s history, an examination of extant music manuscripts and other evidence, discussion of first hand personal professional experiences in China with first and second generation master flautists, and by performances of a sample of items. In order to understand the family of Chinese flutes, their music and performance, music’s changing role in Chinese society was explored: the influences brought to bear by political decree, by changes in cultural attitude, economics, and methods of manufacture, in the years from 1949 to 1985. By the early 1980s the effects of the Chinese government’s “Open Door Policy” were significantly noticeable. Everyday life in China was being increasingly influenced by the presence of western popular culture, particularly film and music, with a dilution of interest in things more traditionally Chinese
Study on Overseas Luxury Consumption of Chinese Consumers —The Moderating Role of Fashion Difference Perception
The phenomenon of "inner cold and outer hot" in China's luxury market has attracted the attention of many scholars. Drawing on luxury consumption motivation theory, this article explores the relevant factors influencing Chinese consumers' overseas luxury purchase from multiple dimensions. The results show that three variables, the match degree between country of origins and sales, attached foreign emotional value and the store service, have a positive impact on consumers' attitude towards overseas luxury goods. Only price fairness perception has a negative influence on consumers' attitude towards overseas luxury goods. Furthermore, the effect of price fairness perception on consumers' attitudes towards luxury goods aboard is greater for customers who have a good sense on fashion difference perception. Keywords: luxury consumption motivation, attached foreign emotional value, fashion difference perception, price fairness perception, the match degree between country of origins and sales, store service DOI: 10.7176/EJBM/11-3-2
Root exudates impact plant performance under abiotic stress
Plant root exudates serve pivotal roles in supporting plant development and interactions with the physicochemical and biological factors in the rhizosphere. Under stress conditions, root exudation is involved in enhancing plant resource-use efficiency and facilitating the crosstalk between plant and soil microbes to ameliorate stress. Although there are a large number of root exudates that remain to be characterized, recent technological advancements have allowed for the function of many exudate compounds to be elucidated. In this review, we discuss current knowledge about the key root exudates that modulate plant resource-use efficiency under various abiotic stresses including drought, aluminum toxicity, phosphorus, nitrogen, and iron deficiency. The role that key root exudates play in shaping microbial communities in the rhizosphere under stress conditions is also an important consideration addressed in this review
Assessment of Bacterial Inoculant Delivery Methods for Cereal Crops
Despite growing evidence that plant growth-promoting bacteria can be used to improve crop vigor, a comparison of the different methods of delivery to determine which is optimal has not been published. An optimal inoculation method ensures that the inoculant colonizes the host plant so that its potential for plant growth-promotion is fully evaluated. The objective of this study was to compare the efficacy of three seed coating methods, seedling priming, and soil drench for delivering three bacterial inoculants to the sorghum rhizosphere and root endosphere. The methods were compared across multiple time points under axenic conditions and colonization efficiency was determined by quantitative polymerase chain reaction (qPCR). Two seed coating methods were also assessed in the field to test the reproducibility of the greenhouse results under non-sterile conditions. In the greenhouse seed coating methods were more successful in delivering the Gram-positive inoculant (Terrabacter sp.) while better colonization from the Gram-negative bacteria (Chitinophaga pinensis and Caulobacter rhizosphaerae) was observed with seedling priming and soil drench. This suggested that Gram-positive bacteria may be more suitable for the seed coating methods possibly because of their thick peptidoglycan cell wall. We also demonstrated that prolonged seed coating for 12 h could effectively enhance the colonization of C. pinensis, an endophytic bacterium, but not the rhizosphere colonizing C. rhizosphaerae. In the field only a small amount of inoculant was detected in the rhizosphere. This comparison demonstrates the importance of using the appropriate inoculation method for testing different types of bacteria for their plant growth-promotion potential
Applicability of UAV-based optical imagery and classification algorithms for detecting pine wilt disease at different infection stages
As a quarantine disease with a rapid spread tendency in the context of climate change, accurate detection and location of pine wilt disease (PWD) at different infection stages is critical for maintaining forest health and being highly productivity. In recent years, unmanned aerial vehicle (UAV)-based optical remote-sensing images have provided new instruments for timely and accurate PWD monitoring. Numerous corresponding analysis algorithms have been proposed for UAV-based image classification, but their applicability of detecting different PWD infection stages has not yet been evaluated under a uniform conditions and criteria. This research aims to systematically assess the performance of multi-source images for detecting different PWD infection stages, analyze effective classification algorithms, and further analyze the validity of thermal images for early detection of PWD. In this study, PWD infection was divided into four stages: healthy, chlorosis, red and gray, and UAV-based hyperspectral (HSI), multispectral (MSI), and MSI with a thermal band (MSI&TIR) datasets were used as the data sources. Spectral analysis, support vector machine (SVM), random forest (RF), two- and three-dimensional convolutional network (2D- and 3D-CNN) algorithms were applied to these datasets to compare their classification abilities. The results were as follows: (I) The classification accuracy of the healthy, red, and gray stages using the MSI dataset was close to that obtained when using the MSI&TIR dataset with the same algorithms, whereas the HSI dataset displayed no obvious advantages. (II) The RF and 3D-CNN algorithms were the most accurate for all datasets (RF: overall accuracy = 94.26%, 3D-CNN: overall accuracy = 93.31%), while the spectral analysis method is also valid for the MSI&TIR dataset. (III) Thermal band displayed significant potential in detection of the chlorosis stage, and the MSI&TIR dataset displayed the best performance for detection of all infection stages. Considering this, we suggest that the MSI&TIR dataset can essentially satisfy PWD identification requirements at various stages, and the RF algorithm provides the best choice, especially in actual forest investigations. In addition, the performance of thermal imaging in the early monitoring of PWD is worthy of further investigation. These findings are expected to provide insight into future research and actual surveys regarding the selection of both remote sensing datasets and data analysis algorithms for detection requirements of different PWD infection stages to detect the disease earlier and prevent losses
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