1,721,027 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
WEED IDENTIFICATION USING IMAGE ANALYSIS AND MACHINE LEARNING
112 pagesIncreasing cases of herbicide-resistant weeds and the labor-intensive nature of traditional weed control methods necessitate more efficient and accurate solutions in agriculture. This thesis addresses these challenges by evaluating YOLO series algorithms (YOLOv5 to YOLOv10) to determine the most effective model for detecting glyphosate-resistant Palmer amaranth, identifying YOLOv9 as the best performer with the highest mean average precision (mAP). We then compared YOLOv8, YOLOv9, YOLOv10, and Faster R-CNN models for multi-species weed detection and found YOLOv9 to be the most robust model. Finally, the study investigated the use of YOLOv9 algorithm for evaluating the effectiveness of various PRE and POST herbicides for weed control in 2,4-D/glufosinate/glyphosate-resistant (Enlist) soybeans. automates weed control ratings in Enlist soybean fields by correlating weed counts from drone imagery with visual control ratings. Altogether, the findings of this research demonstrated the potential for significantly improving weed management practices through species-specific weed identification using YOLO based object detection models highlighting the transformative impact of advanced machine learning algorithms on developing sustainable and economic weed management practices
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
Sensitivity of winter wheat (Triticum aestivum L.) to quizalofop-p-ethyl in central Oklahoma and Kansas
CoAXium® Wheat Production System, developed by Colorado Wheat Research Foundation, Albaugh Chemical, and Limagrain, is a new herbicide tolerant wheat that allows for the use of Aggressor^TM herbicide [active ingredient: quizalofop-p-ethyl (quizalofop)] for control of grassy weeds. An increase in applications of quizalofop may increase the likelihood of physical drift and/or tank contamination to nearby sensitive plants, including wheat that is not tolerant to quizalofop. To further evaluate this challenge, a trial was conducted at four locations in the central Great Plains, during the 2018-2019 and 2019-2020 growing seasons. Five quizalofop rates were used: 1X (92 g ai ha-1), 1/10X, 1/50X, 1/100X, and 1/200X, along with two different application timings: 2- 3-leaf (fall) and 3- 4-tiller (spring). Visual injury was evaluated every two weeks throughout the growing season, along with the collection of end-of-season biomass, harvest index, and grain yield. For yield, herbicide rate by application timing interaction was significant for half of the site years. At the other four site years, a herbicide rate main effect was observed. For the interaction, regardless of application timing, the field-use rate 1X resulted in complete crop loss or near crop loss. For the 1/10X rate with the fall application, yield loss ranged from 0 to 39% whereas with the spring application, loss ranged from 80 to 100%. No significant yield reduction was observed following the three lowest rates, except for Stillwater 2019 and 2020, then Perkins in 2019. At Stillwater there was an 11% reduction in yield at the 1/200X rate in 2019, and 20% yield reduction at the 1/50X rate in 2020. Perkins 2019 also had an 8% yield reduction followed the 1/50X rate When rate was a significant main effect, all 1/10X applications led to 86 to 100% yield loss. There was no significant visual injury or yield loss with the three lowest rates with the exclusions above. The environment had a substantial impact on wheat response with the 1/10X rate. Minimal response was most likely when it was cold and dry before and after application because wheat plants were not actively growing, thus not translocating the herbicide effectively
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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