1,721,295 research outputs found
Asleep at the wheel: the real interest rate experience in Australia
Full text linkA re-thinking and clear understanding of the factors underlying a country's balance of trade position is needed as the global trade regime becomes more liberalized. The relationship between the overall trade balance and its determinants as propounded in the standard models may not necessarily be the same with the bilateral trade balances. This study has developed a model of bilateral trade balance that captures the effects of all factors influencing trade balance as suggested by elasticity, absorption, and monetary approaches and the popular Gravity Model with some extensions. Specifically, the present paper postulates that the relative factors determine the trading pattern, and hence the trade balance of a country in bilateral trade with partners while in the earlier models absolute factors determine the trade balance,. Using standard panel data techniques the model is empirically tested and the results show significant effects of all the relative factors on the bilateral trade balance of Bangladesh in trading with her partners. The robustness check of the model ensures the validity of the specification.Trade Balance, Panel Data
Dyeing process parameter optimization and quality characteristics modeling for viscose blended knitted fabrics / Md Ismail Hossain
Full text linkThe demand of viscose knitted fabrics is increasing rapidly due to its lower price and exclusive quality characteristics. In latest epoch of globalization, customers demand high quality products, lowest price and shorter lead time for product development and delivery. However, traditional knitting & dyeing process consists of trial and error approach which is time consuming, less efficient, cost ineffective and produces fabrics of inferior quality. Moreover, automatic control of knitting & dyeing process are developing slowly due to the complexity of that manufacturing process. Process optimization and quality characteristics modeling is one of the most viable and efficient alternative technique to meet the customers requirement.
Conventional trial-and-error approaches, full factorial experimental design as well as artificial neural network (ANN) and genetic algorithm for optimization did not succeed due to the large volume of works, longer experimental time and huge raw material availability. In this context, Taguchi method is an efficient tool for process optimization in quality engineering. Moreover, various factors affecting the quality characteristics of knitted fabrics are non-linear and interactive with each other‘s. In this background, Fuzzy logic (FL) is a scientific and engineering solution for quality modeling because FL model performs remarkably well in non-linear domain with smallest amount of experimental data.
The main objectives of this study were to optimize the dyeing process parameters and develop mathematical model for the prediction of color strength of viscose/lycra blended knitted fabrics through Taguchi method as well as develop intelligent prediction models for color strength of viscose/lycra, cotton/lycra and lyocell/lycra blended knitted fabrics and bursting strength of viscose/lycra blended knitted fabrics using fuzzy logic approach. Further the aim was to build ANN prediction model to compare the fuzzy models performance and a resin finishing model for controlling the dimensional stability of viscose jersey knitted fabrics by fuzzy technique.
It was found from experimental study that viscose/lycra blended knitted fabrics color strength is approximately 60 % stronger while bursting strength is approximately 100 % weaker than that of cotton/lycra blended knitted fabrics. Further, color fastness of dyed fabrics depends more on the type of reactive dyes and dyeing method rather than washing parameters and type of fibers. The optimal factors in the viscose/lycra blended knitted fabrics dyeing process were found to be dye concentration 9 %, Time 60 minutes, temperature 75 oC, salt concentration 50 g/l, alkali concentration 14 g/l and liquor ratio 1:8. Further, coefficient of determination (R2) and mean absolute error (MAE) between the experimental results and that predicted by the Taguchi mathematical model were found to be 0.921 and 3.48 %, respectively. It was concluded that Taguchi method was successful for optimization and prediction in complex dyeing. Furthermore, it was found that fuzzy models exhibit excellent prediction performance for viscose/lycra, cotton/lycra and lyocell/lycra blended knitted fabrics with less than 5 % MAE and coefficient of determination (R2) more than 0.984. Additionally, ANN model showed superior prediction performance than fuzzy model and fuzzy resin finishing model was highly effective for maximum shrinkage control with minimum loss in bursting strength for viscose plain knitted fabrics
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
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
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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