1,721,248 research outputs found

    Adolescent Suicide Prevention in a School Setting: Use of a Gatekeeper Program

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    Suicide is a major public health problem. Nationally, suicide is the third leading cause of death for adolescents. The purpose of this quality improvement project was to initiate and evaluate a gatekeeper suicide-prevention program within a local school system targeting faculty and staff without a medical or psychology background who interact regularly with middle- and high-school students. Following the implementation of this program, evaluation of increased knowledge related to adolescent suicide prevention was completed. All participants completed a pretest and posttest, and results indicate that the staff members' knowledge about identification of risk factors, behavioral responses to suicidal students, and knowledge of community resources were increased. This project highlights the need for planned and sustainable education and training for faculty and school staff who regularly interact with adolescents. Additionally, the importance of continued monitoring, training, and advocating for suicide prevention programming is noted.Manuscrip

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

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    “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

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    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

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    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

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    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

    Forced Alignment for Understudied Language Varieties: Testing Prosodylab-Aligner with Tongan Data

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    Linguists engaged in language documentation and sociolinguistics face similar problems when it comes to efficiently processing large corpora of recorded speech. Though field recordings can be collected efficiently, it may take months or years to process the audio for certain types of analysis. Besides transcription, phonetic analysis often requires the time-consuming alignment of transcription to audio. The expense related to this process may limit both the questions researchers can explore and the amount of data they can analyze. Recent advances in speech recognition technology have led to the development of tools to automate time alignment of transcriptions to audio (Evanini, Isard, and Liberman 2009, Goldman 2011, Kisler, Schiel, and Sloetjes 2012, Reddy and Stanford 2015, Rosenfelder 2013). Such automation promises to expedite the process of preparing data for acoustic analysis. Unfortunately, the benefits of auto-alignment have generally been available only to researchers studying majority languages like English, for which large corpora exist and for which acoustic models have been created by large-scale research projects or corporate entities. Prosodylab-Aligner (Gorman, Howell, and Wagner 2011), developed at McGill University and available free of charge, was developed specifically to facilitate automated alignment and segmentation for less-studied languages. It allows researchers to train their own acoustic models using the same audio files for which alignments will be created. Those models can then be used to create Praat Textgrids aligned to those recordings, with boundaries marked at both the word and segment level. Our study tests the use of Prosodylab-Aligner on Tongan field recordings. The results show that automated alignment of recordings of an understudied language is feasible for linguists without programming experience and less time-consuming than traditional manual alignments. For the benefit of others who may wish to use Prosodylab-Aligner for their own research data, the paper also reviews the software, and outlines the steps required to install software components, prepare data files, train acoustic models, and create time-aligned Textgrids. It also provides tips and solutions to problems we encountered along the way. In addition, since field recordings often contain more background noise than the kinds of laboratory recordings Prosodylab-Aligner was designed to use, the paper also presents an analysis (using PraatR (Albin 2014)) of the relative costs and benefits of removing background noise for both training and alignment purposes. References Albin, Aaron L. 2014. "PraatR: An architecture for controlling the phonetics software “Praat” with the R programming language." The Journal of the Acoustical Society of America 135 (4):2198-2199. Evanini, Keelan, Stephen Isard, and Mark Liberman. 2009. "Automatic formant extraction for sociolinguistic analysis of large corpora." INTERSPEECH. Goldman, Jean-Philippe. 2011. "Esayalign: an automatic phonetic alignment tool under Praat." Interspeech-2011:3233-3236. Gorman, Kyle, Jonathan Howell, and Michael Wagner. 2011. "Prosodylab-Aligner: A Tool for Forced Alignment of Laboratroy Speech." Canadian Acoustics 39 (3):192-193. Kisler, Thomas, Florian Schiel, and Han Sloetjes. 2012. "Signal processing via web services: the use case WebMAUS." Digital Humanities Conference 2012. Reddy, Sravana, and James Stanford. 2015. "Toward completely automated vowel extraction: Introducing DARLA." Linguistics Vanguard. Rosenfelder, Ingrid. 2013. "Forced Alignment & Vowel Extraction (FAVE): An online suite for automatic vowel analysis." University of Pennsylvania Linguistics Lab, Last Modified December 8, 2013, accessed November 26. 2015. http://fave.ling.upenn.edu/index.html
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