1,721,028 research outputs found
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
Determination of operating parameters in milking robots with milk first cow traffic
Bu çalışma, 29 Ekim, 01 Kasım, 2023 tarihlerinde Ankara[Türkiye]’de düzenlenen 15. International Congress on Agricultural Mechanization and Energy in Agriculture (AnkAgEng) Kongresi‘nde bildiri olarak sunulmuştur.The most important development among technological products has been the realization of milking processes with robotic systems. The main purpose is to reduce the labour, increase animal welfare and improve the quality of life of farmers with the use of robotic systems. Milking robots, which have been used for 30 years in developed countries, entered Turkey about 10 years ago. Robotic milking technology, which has become popular in our country in a short time, will be the most common technological development of dairy cattle enterprises in the future. In this study, it was aimed to determine the parameters and milking values for increasing the efficiency of robotic milking systems, which were acquired with high investment costs, by monitoring the operation in a commercial farm. The farm where the research was carried out was planned according to "milk-first cow traffic" and there are a total of 500 Holstein Friesian breed dairy cows in the farm. Some of the main parameters examined are; number of cows milked per robot, daily milking frequency per cow, daily milking distribution, hourly milking distribution of robots, daily milk yield, milking yield, milk flow, cow's milking time interval, rejection number and duration, robot's daily milking number, robot's milking loading rates in cleaning, idle and non-milking processes, etc. In the two-year trials comparing 8 robots in four barns, the average number of milkings per cowwas found to be close to each other across the herd (2.66, 2.70 units/cow, day). In the first year of the trials, the average daily milk yield, yield per milking and time spent on the robot were 32.6 kg, 12.1 kg and 7.41 min, respectively, while in the second year these values were 37.2 kg, 13.9 kg and 7.63 min. Minutes are set. Grouping of animals according to their yield in the second year can be shown as a reason for this change. While the average daily milking number of the robots in the farm was 148.5 times in the first year, this number decreased to 138.3 in the second year, while the daily milking intervals of the cows increased from 8.56 h to 8.72 h.Ankara Üniversitesi, Tarım Makine ve Teknolojileri MühendisliğiSpringer NatureTürk TraktörZiraat BankasıEuropean Soc Agr EngineersAmer Soc Agr & Biol EngineersInt Commiss Agr & Biosystems Eng
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
A Method for Multispectral Images Alignment at Different Heights on the Crop
Multispectral imaging (MSI) for agricultural applications is playing a key role in plant stress assessment. However, one of the main problems is the misalignment of spectral bands provided by these instruments. The approach proposed in this study considers various distances from the target (500 mm to 1500 mm with a step size of 100 mm) and applies corrective shifts to achieve accurate registration among bands. Through a comparative evaluation of two alignment methods, Checkerboard (CB) and Discrete Fourier Transform (FT), this research aims to provide an effective solution for accurate image registration by facilitating reliable spectral analysis. Specifically, the proposed method involved the analysis of alignment-related offsets among the tested methods. In addition, the study explored the extraction of vegetation spectral indices for vegetation analysis and discrimination between healthy and diseased plants and evaluated their relationship with the quality of alignment obtained at different heights. The results confirmed the trends in the changes in offsets as the target distance varies, showing satisfactory accuracy in the alignment of raw spectral images at different distances, with an error of about 1 pixel. Among the vegetation indices used, the Normalized Difference Vegetation Index (NDVI) proved to be capable of discriminating between healthy and nonhealthy leaves. The study aims to establish a framework applicable to remote sensing and agricultural monitoring, providing a valuable tool for monitoring plant health
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