1,720,959 research outputs found
Forecasting temporal and spatial climatological influence for land suitability evaluation in Bentota Sri Lanka
Climate change has raised much concern regarding its impacts on future land use planning, varying by
region, time, and socio-economic development path. The principle purpose of land suitability evaluation
is to predict the potential and limitation of the land for crop production and other land uses. This study
was carried out to predict the temperature and rainfall trends as one of the major factor for evaluating
land suitability. Climatic data such as monthly mean temperature, total monthly rainfall, maximum daily
rainfall and total annual rainfall during last 30 years of all weather stations located in Bentota River basin
was collected and analyzed applying time series analysis, correlation analysis and Manna Kendall trend test
methods. Spatial distribution of forecast rainfall values was illustrated applying Arc GIS software. The
findings revealed that monthly mean temperature and maximum daily rainfall had a general increasing
trend whereas, total monthly rainfall and total annual rainfall showed a general decreasing trend in
Bentota area. It was indicated relatively high rainfall situations during May and October while low rainfall
situations during January and February by occurring flood situation in once per five year. During Yala
season the area will be received comparatively more rainfall (331mm) than Maha season (300mm) in
future. Community and the farmers in this area can be aware about the anticipated spatial distribution of
total monthly rainfall during two major seasons and flood occurrence periods. Decision makers should
evaluate land suitability of Bentota area by considering above climatological influences and its spatial
distribution pattern that identified as major outcome of this research. The approach and the methodology
adopted in this study will be useful for other researchers, agriculturalist and planners to identify the future
climatological influences and its spatial distribution pattern for land suitability evaluations and other
decision making purposes for other areas
Factors Affecting Raw Material Write Off: A Case Study of the Sri Lankan Apparel Industry
The Sri Lankan apparel industry is considered as the most significant and dynamic contributor to the country’s economy. Though the industry creates profits in significant still it has many losses in financial aspects such as the cost of raw material. Therefore this research was carried out as a case study in the Sri Lankan apparel industry to identify factors affecting raw material write off. The main raw material considered in the study was fabric being the single largest cost factor in the apparel industry. This research randomly selected 85 schedules as the sample. Both primary and secondary data were used and collected through author observations, interviews and secondary data sources. The data were quantitatively analyzed with regression analysis. The results showed that both excess ordered raw material quantity and yield per yardage saving were the significant factors that affected on raw material write off in the Sri Lankan apparel industry. Further descriptive analysis revealed that pattern changes and marker improvement mainly contributed to this yield per yardage saving. The regression analysis further identified a significant relationship among the raw material write off quantity, excess ordered raw material quantity and yield per yardage saving. Also this study suggested to create a Lean manufacturing culture to minimize raw material write off in the apparel industry
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
We 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
We 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
We 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.
Author-wise bibliometric analysis based on entropy.</p
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