“Fo Xi” has become popular on the Internet since the end of 2017 and attracted widespread attention. Under the framework of “Fo Xi X”, people create many “Fo Xi” expressions according to different communication contexts, such as “Fo Xi Raising Children”, “Fo Xi Chasing Stars”, “Fo Xi Employees”, etc. It is obvious that the buzzword “Fo Xi X” has significant memetic qualities. At present, domestic researches on “Fo Xi” are mostly carried out from the perspectives of communication, culture, and sociology. Although a small number of scholars have analyzed the formation and dissemination of “Fo Xi” from the perspective of linguistics such as cognition and semantics, there is no scholar who has integrated internal factors such as structural, semantic, and pragmatic features, with external factors such as subjectivity and contextualization to analyze the influence on the generation, reproduction and spread of the linguistic meme “Fo Xi X” based on memetics. From the perspective of memetic theory, this thesis makes a tentative exploration of “Fo Xi X” expression, and provides a relatively comprehensive explanation of the internal and external factors that affect the generation, reproduction and dissemination of this expression, as well as the pragmatic functions that “Fo Xi X” expression realizes in the process of communication, which supplies a reference for the application of memetics to the study of language phenomena and enriches the case study of Internet buzzwords to a certain extent.

We perform density functional theory calculations to study the CO and O2 adsorption chemistry of Pt@X core@shell bimetallic nanoparticles (X = Pd, Rh, Ru, Au, or Ag). To prevent CO-poisoning of Pt nanoparticles, we introduce a Pt@X core-shell nanoparticle model that is composed of exposed surface sites of Pt and facets of X alloying element. We find that Pt@Pd, Pt@Rh, Pt@Ru, and Pt@Ag nanoparticles spatially bind CO and O2, separately, on Pt and X, respectively. Particularly, Pt@Ag nanoparticles show the most well-balanced CO and O2 binding energy values, which are required for facile CO oxidation. On the other hand, the O2 binding energies of Pt@Pd, Pt@Ru, and Pt@Rh nanoparticles are too strong to catalyze further CO oxidation because of the strong oxygen affinity of Pd, Ru, and Rh. The Au shell of Pt@Au nanoparticles preferentially bond CO rather than O2. From a catalysis design perspective, we believe that Pt@Ag is a better-performing Ptbased CO-tolerant CO oxidation catalyst.

Owing to time and cost constraints, new methods that would make it possible to evaluate the safety of the water supply pipeline in a less time- and cost-consuming manner are urgently needed. In response to this exigency, the present study developed a new statistical model to assess the safety of the water supply pipeline using the quantification theory type Ⅱ. In this research, the safety of the water supply pipeline was defined as ‘a possibility of the pipeline failure’. Quantification analysis was conducted on the qualitative data, such as pipe material, coating, and buried condition. The results of analyses demonstrate that the hit ratio of the quantification function amounted to 77.8% of hit ratio, which was a fair value. In addition, all variables that were included in the quantification function were logically valid and demonstrated statistically significant. According to the results derived from the application of the safety evaluation model, the coefficient of determination (R2) between K-region’s water supply pipeline safety and the safety inspection amounted to 0.80. Therefore, these findings provide meaningful insight for the measured values in real applications of the model. The results of the present study can also be meaningfully used in further research on safety evaluation of pipelines, establishing of renewal prioritization, as well as asset management planning of the water supply infrastructure.