1,721,424 research outputs found
An analysis of Jing Mei Woo using Bergson\u27s snowball theory for the purpose of teaching Amy Tan\u27s The Joy Luck Club
No full textThis study is an analysis of Jing Mei Woo, a character in Amy Tan\u27s The Joy Luck Club. The method by which the researcher has studied the character is Henri Bergson\u27s Snowball Theory, which is primarily concerned with time and memory. The basic premise of this method is that the memory aspect of the novel is what makes the text move
Microbial communities of spring pits in Jing-Mei River at the southeastern Taipei basin
No full text湧泉坑是地下水從地表流出而使地面產生凹坑之現象，常見於水陸交界之水岸線淺水處，推測是由於地下水頭壓力所造成之地下水湧升使底床沖積層之細顆粒發生流體化，而湧水沖刷帶出細顆粒在其出口周圍沈積形成湧泉坑，可能具有更新河水的功能。湧泉坑在地質學的研究上有一定的基礎，但於微生物生態與功能影響仍不清楚。本研究分析大台北地區景美溪的湧泉坑中河水及底泥的微生物相，並以不含湧泉坑的景美溪樣本做為對照組；以16S rRNA基因序列，分析樣區中的太古生物(古菌, Archaea)與細菌的群落架構變化與功能。共獲得229條太古生物及473條細菌的16S rRNA基因序列，若以97% 16S rRNA基因序列相似性定義為一個分類單位(OTUs)，在太古生物序列可分成55個不同OTUs，細菌序列可分成373個不同的OTUs。新湧泉坑與中期湧泉坑旁的控制組的底泥及河床底泥的太古生物相，以Methanosaetaceae為主要親緣型，而在湧泉坑及老化型湧泉坑的太古生物相大部分屬於rich minerotrophic fen親緣型。在細菌部分，除了新湧泉坑以Chloroflexi 及 Firmicutes親緣型為主之外，其餘樣品主要以 Bacteriodetes 及 Betaproteobacteria為優勢親緣型，且以中期湧泉坑具有顯著較高的多樣性與完整微生物碳、氮、硫元素的完整循環功能。研究顯示湧泉坑的形成除帶來新的菌群之外，亦改變環境溫度、還原電位、氧氣及營養源的濃度梯度，提高微生物物種與功能的多樣性，應具有更新河流生態系的功效。Spring pits are bowl-shaped depressions formed near the shoreline. The occurrence of the spring pits may be formed by the upwelling ground water after heavy rains in Jing-Mei River at the southeastern Taipei basin. Spring pit may play a role to refresh the river water. Spring pits have been studied on the basis of their geography, but little is known about the ecology and community structure of microbial organisms (both archaea and bacteria). Total cell from samples were also determined using 4'',6-diamidino-2-phenylindole (DAPI). The microbial communities associated with spring pits and control were investigated using 16S rRNA genes and phylogenetic analyses of clone libraries derived from DNA extracted from water and sediment samples. The significant difference in microbial abundance were found between inside and outside of spring pit sample. Totally 229 archaeal and 473 bacterial clones were obtained. All sequences could be defined as 55 archaeal and 373 bacterial operational taxonomic unit (OTUs) base on the 97% 16S rRNA gene sequence similarity. The archaeal 16S rRNA gene sequences retrieved from intermediate and old spring pits were mostly affiliated to a rich minerotrophic fen type subaqueous cluster, however Methanosaetaceae is the major group detected in the new spring pit, sediment nearby intermediate spring pit and control riverine sediment. The bacterial phyla Bacteriodetes and Betaproteobacteria were dominance in almost all of samples, except new spring pit which abundance by Chloroflexi and Firmicutes.The statistical analysis of 16S rRNA clone libraries found highest diversity in intermediate spring and revealed lower in new and old spring pit and control river in spring pit study site.The phylogeny-based microbial function in nitrogen (N), carbon (C) and sulfur (S) were also investigated and suggest that the occurrence of spring pit associated microbes can promote the complete of N, C, and S cycling. These results suggest that microbial community of the newly fromed spring pit will immediately mix with nearly river water and sediment which herely contribute the most diverse microbial community and function of intermediate spring pits. Further the spring pit microbial gradually aged with less diverse microbial community and limited functions as part of the river sediment. The spring pit formation bring in the new microbes and changing gradients in abiotic temperature, redox, oxygen and nutrients promote more diverse microbial functions which should be effectively refresh the river ecosystem.Table of Contents
Chinese abstract i
English abstract ii
Table of Contents vi
List of Tables viii
List of Figures ix
1. Introduction 1
2. Literature reviews 2
2.1. The ecology of urban river 2
2.2. Spring pit 3
2.3. The application of molecular technologies to study the microbes in natural environments 4
2.3.1. Ribosomal RNA as a key to molecular phylogeny 5
2.3.1.1. Molecular microbial ecology approaches to accessing natural diversity 6
2.3.1.2. Genetic finger printing 6
2.3.1.3. PCR, Cloning and sequencing techniques 8
2.3.2. Single-cell identification in microbial community by fluorescence techniques 9
2.4. Common microbial group in freshwater habitat 12
2.4.1. Archaea 12
2.4.1.1. Features distinguishing Archaea from Bacteria and Eukarya 12
2.4.1.2. Archaeal phenotype and phylogenetic division 13
2.4.1.2.1. Phylum Crenarchaeota 13
2.4.1.2.2. Phylum Euryarchaeota 13
2.4.1.2.2.1. Class Methanomicrobia 14
2.4.1.2.2.1.1. Order Methanosarcinales 14
2.4.1.2.2.1.2. Order Methanomicrobiales 15
2.4.1.2.2.1.3. Unclassified Methanomicrobia 16
2.4.1.2.2.2. Class Methanobacteria 17
2.4.1.2.2..3. Uncultured Archaea 17
2.4.1.2.3. Phylum Thaumarchaeota 18
2.4.2. Bacteria 18
2.4.2.1. Phylum Acidobacteria 19
2.4.2.2. Phylum Bacteroidetes 19
2.4.2.3. Phylum Cyanobacteria 20
2.4.2.4. Phylum Proteobacteria 20
2.4.2.4.1. Class Alphaproteobacteria 20
2.4.2.4.2. Class Betaproteobacteria 21
2.4.2.4.3. Class Gammaproteobacteria 21
2.4.2.4.4. Class Deltaproteobacteria 21
2.4.2.5. Phylum Chloroflexi 22
2.4.2.6. Phylum Verrucomicrobia 22
2.4.2.7. Phylum Acidobacteria 23
2.4.2.8. Phylum Firmicutes 24
2.4.2.9. Phylum Plantomycetes 24
2.4.2.10. Phylum Deinococcus-Thermus 24
2.4.2.11 Phylum Fusobacteria 25
2.4.2.12. Phylum Gemmatimonadetes 25
2.4.2.13. Phylum Lentisphaerae 25
2.4.2.14. Phylum Armatimonadetes 26
2.4.2.15. Phylum Elusimicrobia 26
2.4.2.16. Phylum Chlorobi 26
2.4.2.17. Phylum Nitrospirae 26
2.4.2.18. Candidate division OP11 27
2.4.2.19. Candidate division OD1 27
2.4.2.20. Candidate division TM7 27
2.4.2.21. Candidate division WS3 27
3. Materials and Methods 29
3.1. Sample location and period 29
3.2. Sampling method 30
3.3. Cultivation of E. coli DH5α 30
3.3.1. Medium content 30
3.3.2. Recombinant E. coli clone selection 31
3.3.3. E. coli stock 31
3.3.4. Competent cell preparation 32
3.4. DNA extraction 32
3.5. 16S rRNA gene amplification 33
3.6. Recover and purified 16S rRNA gene fragment 34
3.7. 16S rDNA ligation 35
3.8. Transformation 35
3.9. Plasmid extraction and purification 36
3.10. Nucleic acid sequence analysis 37
3.11. Sequence analysis, phylotype analysis and phylogeny-based microbial function 38
3.12. Biodiversity 39
3.13. DAPI (4'',6-diamidino-2-phenylindole) staining 40
3.13.1 Standard curve 40
3.13.2 Cell abundance observation 42
4. Results and discussion 43
4.1. Microbial abundance 43
4.1.1. Microbial abundance in Jing-Mei river sediments 43
4.1.2 Microbial abundance in spring pit and associated 43
4.2. Microbial diversity 44
4.2.1. Bacterial diversity in Jing-Mei River sediments 44
4.2.2. Microbial community in spring pits site at Jing-Mei River 44
4.2.2.1. Archaeal community in spring pits site at Jing-Mei River 44
4.2.2.2. Bacterial community in spring pits site at Jing-Mei River 48
4.2.2.3. Bacterial community assemblages in spring pit associated habitats 51
5. Discussion 54
5.1. Diversity measures and rarefaction curve analysis 54
5.2. Environmental gradient on the microbial distribution and metabolic function 56
5.2.1 Control along Jing-Mei River VS. Control Jing-Mei River at spring pit site 56
5.2.2 Microbial community in spring pit 57
5.3. Phylogeny-based microbial function in nutrient cycle in spring pit study site 57
5.3.1 Phylogeny-based microbial function in nitrogen cycle in spring pit study site 57
5.3.2 Phylogeny-based microbial function in carbon cycle in spring pit study site 58
5.3.3 Phylogeny-based microbial function in sulfur cycle in spring pit study site 58
6. Conclusions and Future Prospects 60
7. Tables and Figures 61
8. References 9
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
No full text“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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