1,720,956 research outputs found
DEVELOPMENT OF VIDEO LEARNING MATERIALS ON ANIMAL AND HUMAN MUSCULAR ORGANS
Full text linkToday's students grow and develop in the digital era, where access to various information via electronic media has become commonplace. Therefore, the development of learning videos is not only relevant but also an urgent need to answer the characteristics of this digital generation. This research aims to create learning videos on animal and human movement organs that are suitable for use in learning. This research is development research that uses the ADDIE (Analysis, Design, Development, Implementation, Evaluation) model. Based on the presentation of research results, information was found that learning videos on animal and human movement organs were declared suitable for use in learning with an average percentage of 85.83% from media experts, 91.66% from material experts, and 87.5% of student responses in the category worthy. These findings highlight the importance of integrating technology in education to facilitate more effective learning. Therefore, adjusting the curriculum and developing learning materials that support using video as an educational tool is necessary. Apart from that, aspects of technology accessibility and affordability need to be paid attention to so that the benefits of video-based learning can be felt equally by all students
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
Analysis of Retinal Nerve Fiber Layer for Classification of Glaucoma
No full textGlaucoma is the second leading causes of blindness beside of cataracts. In the glaucoma examination, determining the disease is very difficult since the symptoms are difficult to find. The ophthalmologists usually use the disc damage likelihood score (DDLS) in examining the optic nerve damage which is very complicated. Glaucoma can also be detected by looking at damage of retinal nerve fiber layer (RNFL) which is characterized by the loss of nerve fiber around the optic nerve head (ONH). However, manual examination became less effective and less efficient since it required specific skills and needed more time to finish the examination. This research aimed to develop a scheme for detecting glaucoma disease based on retinal nerve fiber layer features. First order statistic feature was used to recognize the characteristic of RNFL. These features were mean, standard deviation, skewness, energy, entropy, smoothness, min and max. The info gain feature selection was used to select features with the most dominant influence. Then, the selected feature was used to classify the image into a normal class or glaucoma. Retinal image classification results between normal class and glaucoma using radial basis function network (RBFN) classifier obtained accuracy of 90.00, sensitivity of 93.33, and specificity of 86.67. These results indicated that the proposed method could assist the ophthalmologist in early detection of glaucoma disease on retinal fundus image based on retinal nerve fiber layer features. © 2021 IEEE
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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