The statistical analysis of compositional data

Shen, S. M.; 沈雪明,

doi:10.5353/th_b3123037

Cited by 2 publications

(2 citation statements)

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“…Marine-Roig and Ferrer-Rosell (2018) [2] conducted an analysis of the gap between supply-side projected images and demand-side perceived images of TDIs. They measured the differences in terms of three dimensions: spatial, cognitive, and affective images, using a combined distance approach [59]. The results indicated significant differences between the organic perceived image and the autonomous and projected images.…”

Section: The Discrepancy Between Projected and Perceived Imagesmentioning

confidence: 99%

Exploring the Discrepancy between Projected and Perceived Destination Images: A Cross-Cultural and Sustainable Analysis Using LDA Modeling

Chen

Liu

et al. 2023

Sustainability

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The projected image, created by destination marketing organizations, and the perceived image, formed by tourists’ perceptions, are crucial factors in destination selection. In this paper, machine learning models are used to construct projected image dimensions and perceptual dimensions for Chinese and English to analyze the similarities and differences between projected and perceptual images and their Chinese sustainability and cultural differences issues. We take Xiamen, a seaside tourist city in China, as an example, and analyze it by collecting 110,098 official promotional texts (both in Chinese and English) and tourist online review feedback as data sources using a latent Dirichlet allocation (LDA) model of natural language processing. The findings show that (1) the official projected image focuses on the overall image of the destination, while the tourists’ perceived image focuses on the specific image. (2) The official projected image covers the whole area of tourism, while the tourists’ perceived image focuses on Xiamen’s well-known attractions. The results of the above two points are the same for both the Chinese and English Topic models. (3) The official projected image focuses on three dimensions of destination: sustainability-economic, socio-cultural and environmental, while the tourist perception is more in the socio-cultural and environmental dimensions. (4) Both the projected and perceived images in Chinese and English differ in cross-cultural situations. The perceived images of Chinese and British tourists are influenced by their respective cultural backgrounds. Chinese tourists’ perceptions reflect cultural values associated with collectivism, long-term orientation, and uncertainty avoidance. On the other hand, British tourists’ perceptions align with cultural values of individualism, short-term orientation, and lower uncertainty avoidance. These differences can be explained using Hofstede’s cultural dimensions theory. The research in this paper can provide a reference for the promotion of tourism cities, and tourism destination organizations should not only focus on sustainable promotion, but also attract domestic and foreign tourists through differentiated promotion.

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Section: The Discrepancy Between Projected and Perceived Imagesmentioning

confidence: 99%

Exploring the Discrepancy between Projected and Perceived Destination Images: A Cross-Cultural and Sustainable Analysis Using LDA Modeling

Chen

Liu

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…When the sequence could not be resolved at a particular taxonomic rank, the "_u" sign was used (referring to the term "unclassified", example: "Lactobacillus_u"). There were minor changes to the original Knomics-Biota pipeline: the Chao1 index calculated on the level of ASVs (amplicon sequencing variants) after rarefaction to 3000 reads per sample was used to assess the alpha diversity; the beta diversity was estimated using Euclidean distance in Aitchison space [30,31].…”

Section: Microbiome Data Processingmentioning

confidence: 99%

Gut Microbiota as Early Predictor of Infectious Complications before Cardiac Surgery: A Prospective Pilot Study

Chernevskaya

Zuev

Odintsova³

et al. 2021

JPM

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Cardiac surgery remains a field of medicine with a high percentage of postoperative complications, including infectious ones. Modern data indicate a close relationship of infectious disorders with pathological changes in the composition of the gut microbiome; however, the extent of such changes in cardiac surgery patients is not fully clarified. In this prospective, observational, single center, pilot study, 72 patients were included, 12 among them with the infectious complications. We analyzed the features of the fecal microbiota before and in the early postoperative period, as one of the markers for predicting the occurrence of bacterial infection. We also discovered the significant change in microbial composition in the group of patients with infectious complications compared to the non-infectious group before and after cardiac surgery, despite the intra-individual variation in composition of gut microbiome. Our study demonstrated that the group of patients that had a bacterial infection in the early postoperative period already had an altered microbial composition even before the surgery. Further studies will evaluate the clinical significance of the identified proportions of individual taxa of the intestinal microbiota and consider the microbiota as a novel target for reducing the risk of infectious complications.

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The statistical analysis of compositional data

Cited by 2 publications

References 0 publications

Exploring the Discrepancy between Projected and Perceived Destination Images: A Cross-Cultural and Sustainable Analysis Using LDA Modeling

Exploring the Discrepancy between Projected and Perceived Destination Images: A Cross-Cultural and Sustainable Analysis Using LDA Modeling

Gut Microbiota as Early Predictor of Infectious Complications before Cardiac Surgery: A Prospective Pilot Study

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