1,720,954 research outputs found
Automated Assessment of Feeding Behaviors in Mice Using Machine Vision
No full textBehavioral analysis is paramount in many biomedical studies as it very effectively can map phenotypic differences in behavior to genotypic differences across disease models. Feeding behavior specifically is a very important behavior related to many positive and negative health consequences. Current methods for assessing feeding behavior can be logistically complicated, time-consuming, and limited in their scope – such as the ability to handle social conditions. An automated method of behavior assessment through machine vision techniques would prove useful by providing continuous measurements and high-throughput analysis of mice in social contexts. Here, we develop an approach to quantify feeding behavior from video data over 4-day, multi-mouse experiments. We validate a feeding classifier by comparing its performance to human annotation, achieving an F1-beta score of 0.9231. I use the classifier to investigate and compare feeding behavior in C57BL/6J and BTBR T+ Itpr3tf/J mice strains – the BTBR strain being commonly used as a model of autism. I demonstrate the versatility of the model by providing analysis at the strain, arena, and individual animal levels. Further, I demonstrate the applicability of the method through assessment of a relevant model of disease, the hyperphagic Leprdb/J strain
Syntactic Grooming Classification in Mice with Computer Vision
No full textBehavior analysis is a challenging yet elucidating part of disease research. Specifically behaviors such as grooming, which models many stereotyped, repetitive, or comforting behaviors in humans, can provide much insight when studying models of psychiatric disease in mice – Autism Spectrum Disorder or Obsessive Compulsive Behavior for example. However, grooming is only a broad behavior label for a set of more intricate grooming types, or syntaxes. It has been observed that these grooming syntaxes are typically linked together in certain orders to form syntactic chains. A mouse’s inclination to follow said syntactic chains or lack thereof can be especially elucidating, as it can tell us alot about the physical and psychiatric state of the animal, as well as if it may be affected by environmental conditions such as stress. The challenge with using this behavior remains that these syntaxes are difficult and inefficient to manually annotate. This limits the duration and setting in which these metrics can be analyzed. Here, we provide an automated solution using computer vision to classify grooming syntaxes and identify syntactic chains across a wide variety of mice strains. Our multiclass classifier provides an efficient way of processing high-throughput data, enabling more comprehensive interventional studies concerning diseases with related behavioral phenotypes. We compare syntax distributions across a strain-survey containing 62 distinct mouse strains. Further, we apply the field’s standard protocol to investigate mice’s inclination towards a pre-defined syntactic chain, and discover that the established chain definitions fail to account for the vast majority of grooming bouts
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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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