1,720,954 research outputs found
You\u27re in Good Paws by M. Fergus
No full textFergus, Maureen. You\u27re in Good Paws. Illustrated by Kathryn Durst. Tundra-Random House Canada, 2019.
Maureen Fergus’s You’re in Good Paws is about a young boy named Leo, whose parents accidently take him to an animal hospital to get his tonsils out. Leo is unsure about being at an animal hospital, but the animals do their best to make him feel comfortable and safe. Leo even ends up making friends with other animal patients.
The illustrations, by Kathryn Durst, are bright and take up most of the space on the pages. The illustrations give children a lot to look at and explore. There are some hidden jokes throughout the book, which can be as entertaining for the adults as they are for the children. The text is very simple for children to follow and more difficult words, such as anesthesiologist, are explained in plain terms making it easy for children to understand.
While the story of a young boy’s parents taking him to an animal hospital may seem silly, it puts a positive spin on going to the hospital. Leo’s adventure makes a hospital visit seem less scary and even puts a fun spin on having to get surgery. This book can be very useful for children who are unfamiliar with hospitals and have to have surgery or even just go in for a check-up.
With that in mind, I would recommend it for elementary school and public libraries.
Recommended: 3 out of 4 starsReviewer: Jenn Laskosky
Jenn Laskosky is a graduate student at the University of Alberta in the Library and Information Studies program. She has an interest in health sciences librarianship and international librarianship. Her passion for reading has continued to grow throughout her education.
 
How Do You Care for a Very Sick Bear? by V. Bayer
No full textBayer, Vanessa. How Do You Care for a Very Sick Bear? Illustrated by Rosie Butcher. New York: Macmillan Publishing, 2019.
Vanessa Bayer’s How Do You Care for a Very Sick Bear? provides young readers with advice on how to deal with and help their friends who are facing a difficult illness. The book offers suggestions and advice for young children, but also reminds them that even though their friend is sick, they are still their friend. Bayer’s story provides examples of the simple gestures that friends can make when helping each other.
The illustrations by Rosie Butcher are bright, colourful, and simple. Butcher illustrates common activities that friends would do together, which makes them relatable to children even though the characters are bears. The illustrations take up most of the page and provide young readers with a lot to explore. The text throughout the book is simple and easy to read.
Bayer’s story tackles a difficult topic, but she presents it in a way that is easy for children to understand. Her use of bears as her main characters helps to soften the impact of a difficult topic to approach with children. However, Bayer is also honest with her portrayal of illness, which offers children a realistic view of what to expect.
This book can be very useful for children who have a friend facing a difficult illness. Additionally, it can be useful to parents when explaining illnesses to their children. With that in mind, I would recommend it for elementary school and public libraries.
Highly Recommended: 4 out of 4 starsReviewer: Jenn Laskosky
Jenn Laskosky is a masters student at the University of Alberta in the Library and Information Studies program. She has an interest in health sciences librarianship and international librarianship. Her passion for reading has continued to grow throughout her education.
 
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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