Epidemic Discourse and National Image Construction From the Perspective of Visual Grammar Theory

A good national image helps to enhance the country’s voice in international diplomatic activities, and helps to strengthen the country’s soft power. As an important part of social reality, discourse plays an important role in the process of international diplomatic scene and national image construction. In recent years, with the global spread of the COVID-19 epidemic, news and public opinion around the world have focused on it, and a large number of news reports have emerged. Based on the theoretical framework of visual grammar theory and Halliday’s systemic functional linguistics theory, this study analyzes the relationship between epidemic discourse and national image structure from three aspects: reproduction function, interaction function and composition function, and puts forward targeted suggestions for building a good national image

China's Service-Outsourcing Industry

In light of increasing economic globalization, service outsourcing provides good opportunities for developing countries. At present, this industry in China is relatively backward but is developing fast. In order to speed up the development of outsourcing industries, China's central and local governments have released policies on this issue that encompass infrastructure construction, manpower training, certification, tax incentives, and financial subsidies.

Preparation, antifungal and antioxidant properties of a novel chitosan derivative

In this work, we report the synthesis, antifungal and antioxidant activity of a novel chitosan (CS) derivative, PTACS, derived from chloracetyl chitosan (CACS), 4-pyridinecarboxaldehyde and thiosemicarbazide. The result indicated that both the antifungal activity and the antioxidant property of PTACS are better than CS. © 2010 IEEE

Synthesis, characterization, and antifungal activity of novel quaternary chitosan derivatives

Three novel quaternary chitosan derivatives were successfully synthesized by reaction of chloracetyl chitosan (CACS) with pyridine (PACS), 4-(5-chloro-2-hydroxybenzylideneamino)-pyridine (CHPACS), and 4-(5-bromo-2-hydroxybenzylideneamino)-pyridine (BHPACS). The chemical structure of the prepared chitosan derivatives was confirmed by Fourier transform infrared (FT-IR) and C-13 nuclear magnetic resonance (C-13 NMR) and their antifungal activity against Cladosporium cucumerinum, Monilinia fructicola, Colletotrichum lagenarium, and Fusarium oxysporum was assessed. Comparing with the antifungal activity of chitosan, CACS, and PACS, CHPACS and BHPACS exhibited obviously better inhibitory effects, which should be related to the synergistic reaction of chitosan itself with the grafted 2-[4-(5-chloro-2-hydroxybenzylideneamino)-pyridyl]acetyl and 2[4-(5-bromo-2-hydroxybenzylideneamino)-pyridyl]acetyl. (C) 2010 Elsevier Ltd. All rights reserved.Three novel quaternary chitosan derivatives were successfully synthesized by reaction of chloracetyl chitosan (CACS) with pyridine (PACS), 4-(5-chloro-2-hydroxybenzylideneamino)-pyridine (CHPACS), and 4-(5-bromo-2-hydroxybenzylideneamino)-pyridine (BHPACS). The chemical structure of the prepared chitosan derivatives was confirmed by Fourier transform infrared (FT-IR) and (13)C nuclear magnetic resonance ((13)C NMR) and their antifungal activity against Cladosporium cucumerinum, Monilinia fructicola, Colletotrichum lagenarium, and Fusarium oxysporum was assessed. Comparing with the antifungal activity of chitosan, CACS, and PACS, CHPACS and BHPACS exhibited obviously better inhibitory effects, which should be related to the synergistic reaction of chitosan itself with the grafted 2-[4-(5-chloro-2-hydroxybenzylideneamino)-pyridyl]acetyl and 2[4-(5-bromo-2-hydroxybenzylideneamino)-pyridyl]acetyl. (C) 2010 Elsevier Ltd. All rights reserved

Segmentation of Images Using Wavelet Packet Based Feature Set and Clustering Algorithm Segmentation of Images Using Wavelet Packet Based Feature Set and Clustering Algorithm

The presence of speckle in Synthetic Aperture Radar (SAR) images makes the segmentation of such images difficult A novel method for automatic segmentation of SAR images is proposed. Firstly, a wavelet packet based texture feature set is derived. It consists of the energy of the feature subimages obtained by the overcomplete wavelet packet decomposition of local areas in SAR image, where the downsampling between wavelet levels is omitted. Then an improved unsupervised clustering algorithm is proposed for image segmentation, which can determine the number of classes automatically. Segmentation results on real SAR image demonstrate the effectiveness of the proposed method