1,723,422 research outputs found
YONGSAN ZENG, WEIMIN YE, JIANGHUA HUANG, CHANGHUI LI & ROBIN M. GIBLIN- DAVIS (2013) Description of Schistonchus altissimus n. sp. (Nematoda: Aphelenchoididae), an associate
No full textZeng, Yongsan, Ye, Weimin, Huang, Jianghua, Li, Changhui, Giblin- Davis, Robin M. (2013): YONGSAN ZENG, WEIMIN YE, JIANGHUA HUANG, CHANGHUI LI & ROBIN M. GIBLIN- DAVIS (2013) Description of Schistonchus altissimus n. sp. (Nematoda: Aphelenchoididae), an associate. Zootaxa 3717 (4): 598-600, DOI: 10.11646/zootaxa.3717.4.
Better Networking among Craft Family Enterprises in Taizhou: Case: Taizhou Changhui Craft Co., Ltd
Full text linkThis study is commissioned by Taizhou Changhui Craft Co., Ltd. The craft industry in Taizhou is booming again after the financial crisis in 2008. Changhui has the potential to enlarge its business through the networking with other craft family enterprises in Taizhou.
The aim of the study is to understand the preferences and behaviour of craft family enterprises in Taizhou and make practical suggestions for Changhui to have better networking. The research methods used in the study are both quantitative survey and qualitative interview. The questionnaire consists of 10 different attitude statements and some other related questions, the interview is guided by a list questions based on the results of the quantitative research.
The findings show that most of the craft family enterprises have started networking and they hold positive attitudes towards networking. Meanwhile, Changhui is ready for networking with the local craft family enterprise. Some practical suggestions are given according to the findings so that Changhui will have sustainable networking relationships and better business in the following years.Tämä tutkimuksen toimeksiantajana on Taizhou Changhui Käsityö Oy. Käsityöteolisuus on nousemassa taas vuoden 2008 finanssikriisin jälkeen. Changhuin liiketoiminnat pystyvät kasvamaan mahdollisesti liittymällä toisten käsityöperheyritysten kanssa Taizhoussa.
Tutkimuksen tavoitteena on ymmärtää käsityöperheyritysten liittyviä mieltymyksiä ja käyttäytymistä Taizhoussa ja tehdä käytännöllisiä ehdotuksia, joiden avulla Changhui voisi saada parempia verkostoja. Tutkimusmenetelmiä ovat sekä kyselylomake että haastattelu. Kyselylomake koostuu 10 erilaisesta asenneväittämästä sekä muista niihin liittyvistä kysymyksistä. Haastattelu perustuu kysymyksiin, jotka on suunniteltu määrällisen tutkimuksen tulosten perusteella.
Tulokset osoittavat, että käsityöperheyritykset Taizhoussa ovat alkaneet verkostoitua ja niillä on positiivinen asenne verkostoitumiseen. Lisäksi Changhui on valmis verkostoitumaan paikallisten käsityöperheyritysten kanssa. Työssä on ehdotuksia, joiden avulla Changhui saisi kestäviä verkostokontakteja ja lisää liiketoimintaa seuraavina vuosina
Xu Changhui talk at Chinoperl
No full textSide A. 1. 許常惠talk at Chinoperl, 3/23/86. 2. A medley of songs -- Side B. A medley of songs, 3/28/86.Live recording.Electronic reproduction from Rulan Chao Pian Audio Cassette Collection.Performers, unknown.Spoken in English.Detailed contents in vernacular field only
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Strategic and operational plan for better material handling
Full text linkThesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2008.Includes bibliographical references (leaf 65).Currently the material handling in NPC Singapore is done manually via forklift trucks. As the production volume increases and a new product launches, the current capacity will not be sufficient for 2012. In order to avoid the production loss and increase the operational efficiency, four solutions have been tested, including forklift trucks and labor extension, Kanban redesign in staging areas, conveyor implementation in staging areas and automating the transportation between the warehouse and production via implementing AGVs or transfer cars. In this thesis research we specifically analyze the use of AGVs and transfer cars. By implementing two transfer cars in 2012, the system capacity will remain adequate until 2018. This investment provides a $364,165 net present value and a 29% internal rate of return.by Changhui Zhao.M.Eng
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe 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
Description of Schistonchus altissimus n. sp. (Nematoda: Aphelenchoididae), an associate of Ficus altissima in China
No full textZeng, Yongsan, Ye, Weimin, Huang, Jianghua, Li, Changhui, Giblin-Davis, Robin M. (2013): Description of Schistonchus altissimus n. sp. (Nematoda: Aphelenchoididae), an associate of Ficus altissima in China. Zootaxa 3700 (4): 561-572, DOI: 10.11646/zootaxa.3700.4.
Predicting Protein-Protein Interaction Sites From Amino Acid Sequence
Full text linkPredicting Protein-Protein Interaction Sites From Amino Acid Sequence Changhui Yan, Vasant Honavar and Drena Dobbs Artificial Intelligence Research Laboratory Bioinformatics and Computational Biology Graduate Program Iowa State University Ames, Iowa 50011 Corresponding author: Changhui Yan Email address of the corresponding author: [email protected] Abstract We describe an approach for computational prediction of protein-protein interaction sites using a support vector machine (SVM) classifier. Interface residues and other surface residues were extracted from 115 proteins derived from a set of 70 heterocomplexes in PDB. The SVM classifier was trained to predict whether or not a surface residue is located in the interface based on the identity of the target residue and its 10 sequence neighbors. The effectiveness of the approach was evaluated using 115 leave-one-out cross validation (jack-knife) experiments. In each experiment, an SVM classifier was trained using a set of 1250 randomly chosen interface residues and an equal number of non-interface residues from 114 of the 115 molecules. The resulting classifier was used to classify surface residues from the remaining molecule into interface and non-interface residues. The classifier in each experiment was evaluated in terms of several performance measures. In results averaged over 115 experiments, interface residues and non-interface residues were identified with relatively high specificity (71%) and sensitivity (67%), and with a correlation coefficient of 0.29 between predicted and actual class labels, indicating that the method performs substantially better than chance (zero correlation). We also investigated the classifier's performance in terms of overall interactions site recognition. In 80% of the proteins, the classifier recognized the interaction surface by identifying at least half of the interface residues, and in 98% of the proteins, at least 20% of the interface residues were correctly identified. The success of this approach was confirmed by examination of predicted interfaces in the context of the three-dimensional structures of representative complexes. This study demonstrates that an SVM classifier can be used to predict whether or not a surface residue is an interface residue using amino acid sequence information. Because surface residues can be identified based on their solvent accessible surface area (ASA), given recent progress in computational methods for predicting ASA from sequence, the approach described in this paper provides a basis for computational prediction of interaction sites in proteins for which only amino acid sequence information is available. Keywords: protein-protein interaction; interaction site prediction; interface residues; support vector machine.</p
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