广告语言模因及其特征

模因为我们提供了一个新的视角去分析广告语言,它的四个复制周期为我们详细剖析了语言复制传播的本质。本文着重分析了广告语言模因的特征,并总结为三大类。本文通过模因的视角,分析广告语言,为广告语言的设计者提供新的思路。

语言模因和认知隐喻

语言是传递信息的工具,模因的模仿、复制、传播可以通过语言得以有效的实现,而另一方面,隐喻是语言新的意义产生的根源,因此模因的生存和发展离不开隐喻。本文以认知隐喻为研究对象,运用模因理论,分析认知隐喻的模因现象、模因特征以及模因传播,认为模因借助于隐喻生成和发展,而隐喻又依附于模因发展和传播,两者相互依赖,共同发展。

体育流行模因概念与特征初探——以平板支撑动作的流行为例

模因论是文化进化的新理论,本文尝试将模因论和体育流行有机结合,从模因论视角对体育流行模因进行考察,首次提出体育流行模因的概念,并通过将宏观理论分析与微观体育流行实例相结合,对体育流行模因的选择性、遗传性、变异性特征进行了分析,从而为体育流行的复制与传播机制研究提供借鉴。

Imitations of Beings Enter and Exit： Plotinus on Incorporeal Matter in Plato： Ⅲ 6[26] 11-15

Plotinus＇ account of matter in Ennead III 6[26] 11-15 serves two purposes. The terms, evil and ugly, present the negative side of matter＇s causality, providing for the change characteristic of the sensible world and the possibility of ontological evil and privation as well as of moral evil among human beings. The receptacle and other images from Plato＇s Timaeus present the positive side of this causality, matter as allowing for the presence of forms in the bodies of the sensible world. Plotinus explicitly articulates the linguistic problem surrounding the nature of matter, since language is derived from the corporeal and thus needs constant correction when applied to matter as incorporeal. His use of language, thus, always has two phases, first, capturing the nature of matter as aptly as possible, and second, highlighting the difference between matter and the image, analogy, or metaphor used to help explain it.

Causal Relationship Model of Firm Characteristics Factors and Good Cooperate Governance Affecting the Performance of the Companies Listed on the Stock Exchange of Thailand

The objective of this research was to develop the causal relationship model of firm characteristics factors and good corporate governance affecting the performance of the companies listed on the Stock Exchange of Thailand. The developed model consisted of three latent variables and eight observable variables. The sample of this study was 338 companies listed on the Stock Exchange of Thailand. Data are from annual reports （form-56）, annual financial statements and notes to the fmancial statements during the years 2010-2013. The statistics used in this study were descriptive statistics. The causal model was analyzed through a path analysis with LISREL 8.80 Student Edition. The results showed as follows. By testing the consistence of the causal model of finn characteristics （CHA）, the assumed model was consistent with empirical data. Based on the statistical test, the Chi-Square was 22.08. The statistical probability （p） was 0.077, the degree of freedom （dO was to 0, 2/2 was 1.58, RMSEA was 0.041, SRMR was 0.037, GFI was 0.98, CFI was 0.99, AGFI was 0.96. The latent variable of firm characteristics （CHA） had directly negative impact on performance （PAL） with a statistical significance level of 0.01. A path coefficient was 0.18. However, CHA variable did not indirectly influence performance （PAL） and it had directly negative impact on good corporate governance （GGN） with a path coefficient of 0.02 without statistical significance level. The latent variable of good corporate governance （GGN） had directly positive impact on the performance （PAL） with a statistical significance level of 0.05, with a path coefficient of 0.18.

Complete genome sequence of the rifamycin SV-producing Amycolatopsis mediterranei U32 revealed its genetic characteristics in phylogeny and metabolism

Amycolatopsis mediterranei is used for industry-scale production of rifamycin, which plays a vital role in antimyco- bacterial therapy. As the first sequenced genome of the genus Amycolatopsis, the chromosome of strain U32 comprising 10 236 715 base pairs, is one of the largest prokaryotic genomes ever sequenced so far. Unlike the linear topology found in streptomycetes, this chromosome is circular, particularly similar to that of Saccharopolyspora erythraea and Nocardia farcinica, representing their close relationship in phylogeny and taxonomy. Although the predicted 9 228 protein-coding genes in the A. mediterranei genome shared the greatest number of orthologs with those of S. erythraea, it was unexpectedly followed by Streptomyces coelicolor rather than N. farcinica, indicating the distinct metabolic characteristics evolved via adaptation to diverse ecological niches. Besides a core region analogous to that common in streptomycetes, a novel ＇quasicore＇ with typical core characteristics is defined within the non-core region, where 21 out of the total 26 gene clusters for secondary metabolite production are located. The rifamycin biosynthesis gene cluster located in the core encodes a cytochrome P450 enzyme essential for the conversion of rifamycin SV to B, revealed by comparing to the highly homologous cluster of the rifamycin B-producing strain S699 and further confirmed by genetic complementation. The genomic information of A. mediterranei demonstrates a metabolic network orchestrated not only for extensive utilization of various carbon sources and inorganic nitrogen compounds but also for effective funneling of metabolic intermediates into the secondary antibiotic synthesis process under the control of a seemingly complex regulatory mechanism.

Analysis of Physical and Chemical Characteristics and Influence Factors of UCG

Based on the UCG(underground coal gasification) theory, the “three zones” which are oxidization zone, reduction zone, and drying zone, were divided; physical and chemical properties of each zone were analyzed. Factors, such as temperature, rate of water pouring, quantity of air blast, thickness of coal seam, and the operation pressure were discussed. Among the influencing factors, the temperature is the most important one.

Transcriptomic analysis reveals key lnc RNAs associated with ribosomal biogenesis and epidermis differentiation in head and neck squamous cell carcinoma

Objective： In this study, we aimed to expand current knowledge of head and neck squamous cell carcinoma （HNSCC）-associated long noncoding RNAs （IncRNAs）, and to discover potential IncRNA prognostic biomarkers for HNSCC based on next-generation RNA-seq. Methods： RNA-seq data of 546 samples from patients with HNSCC were downloaded from The Cancer Genome Atlas （TCGA）, including 43 paired samples of tumor tissue and adjacent normal tissue. An integrated analysis incorporating differential expression, weighted gene co-expression networks, functional enrichment, clinical parameters, and survival analysis was conducted to discover HNSCC-associated IncRNAs. The function of CYTOR was verified by cell-based experiments. To further identify IncRNAs with prognostic significance, a multivariate Cox proportional hazard regression analysis was performed. The identified IncRNAs were validated with an independent cohort using clinical feature relevance analysis and multivariate Cox regression analysis. Results： We identified nine HNSCC-relevant IncRNAs likely to play pivotal roles in HNSCC onset and development. By functional enrichment analysis, we revealed that CYTOR might participate in the multistep pathological processes of cancer, such as ribosome biogenesis and maintenance of genomic stability. CY-I-OR was identified to be positively correlated with lymph node metastasis, and significantly negatively correlated with overall survival （OS） and disease free survival （DFS） of HNSCC patients. Moreover, CYTOR inhibited cell apoptosis following treatment with the chemotherapeutic drug diamminedichloroplatinum （DDP）. HCG22, the most dramatically down-regulated IncRNA in tumor tissue, may function in epidermis differentiation. It was also significantly associated with several clinical features of patients with HNSCC, and positively correlated with patient survival. CYTOR and HCG22 maintained their prognostic values in- dependent of several clinical features in multivariate Cox hazards analysis. Notably, validation either based on an independent HNSCC cohort or by laboratory experiments confirmed these findings. Conclusions： Our transcriptomic analysis suggested that dysregulation of these HNSCC-associated IncRNAs might be involved in HNSCC oncogenesis and progression. Moreover, CYTOR and HCG22 were confirmed as two independent prognostic factors for HNSCC patient survival, providing new insights into the roles of these IncRNAs in HNSCC as well as clinical applications.