1,720,976 research outputs found
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
Cardiac rehabilitation: patient experience design- addressing challenges, opportunities, and digital interventionsin the patient journey
No full textOf all human illnesses, cardiovascular disease (CVD) is the number one cause of death globally, taking an estimated 17.9 million lives each year (representing 32% of all global deaths). When the consultation is predominantly verbal, existing research in the field of clinician-patient communication indicates that many patients struggle to understand and recall medical consultations or may not understand the extent of their illness or the purpose of their treatment plan. When the discussion centres around the risk of a repeated cardiovascular disease (CVD) related event, an exclusively (brief) verbal approach may not be the optimal approach. Understanding what factors affect the communication of this risk between clinicians and their patients may guide the creation of more effective solutions. Aim The research aims of this research are fourfold: (1) to gain a clearer understanding of the cardiac rehabilitation patient journey in Ireland; (2) to understand how cardiovascular disease risk is currently communicated; (3) to discover the factors that affect communication of these risks; (3) and to create a multi-media intervention to assist in clinician-patient communication in cardiac rehabilitation. Methods A mixed-method approach was adopted by directly surveying, interviewing and observing 88 patients and clinicians at the identified stages along the cardiac rehabilitation patient journey, as well as indirectly observing over 100 patients in cardiology out-patient waiting-rooms. In analysing over 52,000 words gathered from these primary data research activities, a thematic analysis approach was used to identify the factors that prevented patients from understanding the risk they face of experiencing a repeat cardiac event, and a qualitative (think aloud) method of usability testing was employed with 10 participants when testing the usability of a mobile app design intervention – the design and development of which was guided by a design thinking approach. xix Results Findings of this study include the creation of the cardiac rehabilitation patient journey map; the identification of how risk is currently communicated to patients; the factors that inhibit this communication in the form of a taxonomy of communication challenges represented by four primary themes and associated sub-themes; a model for opportunities for where digital media can best support communication of risk along this patient journey; and the creation of a bespoke 3D cardiac rehabilitation mobile application intervention. Conclusion The more accurate reflection of the patient journey has the potential to increase basic understanding of the timelines and events facing the patient 12-months post cardiac event. The proposed evidence informed model of opportunities for enhanced digital media supported communication in cardiac rehabilitation has the potential to influence software designers and developers when considering multimedia interventions along this patient journey within cardiac rehabilitation. The usability studies of the cardiac rehabilitation mobile app show that its design, development, and content have the potential for supporting clinician-patient communication of risk and that it is a solution that warrants further exploration.2026-05-0
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
The use of ensemble techniques in multiclass speech emotion recognition to improve both accuracy and confidence in classifications
No full textCreating machines with the ability to reason, perceive, learn and make decisions based on a human like intelligence has been an interest of artificial intelligence researchers for decades, with the long term goal of developing a general intelligence capable of solving problems just like humans. Affective computing is the area of these studies which focusses on the design and development of intelligent devices which can perceive, process and synthesize human emotion. Humans can interpret emotion in a number of different ways, for example processing spoken utterances, non-verbal cues, facial expressions and also written communication. Changes in our nervous system indirectly alter spoken utterances which makes it possible for people to perceive how others feel by listening to them speak. These changes can also be interpreted by machines through the extraction of speech features. The field of Speech Emotion Recognition (SER) takes advantage of this capability and has subsequently offered many approaches to recognize affect in spoken utterances. Our research focusses on this problem of recognizing affect in spoken utterances and offers a contribution to state of the art systems, which not only can increase accuracy in predictions made but can also improve the reliability or confidence in predictions made.
The majority of state of the art SER systems employ complex statistical algorithms to model the relationship between acoustic parameters extracted from spoken language. This model can then be used to classify new instances of emotionally expressive speech. There are other SER systems which use the content of spoken utterances i.e. what is being said, along with acoustic parameters to make a more informed prediction. Our work highlights how state of the art SER systems do not employ state of the art text analysis techniques and therefore are limiting their prediction ability. This thesis therefore presents a classification system which exploits best practices from both the acoustic and text processing domains, to create an SER system which exhibits more accurate and confident predictions than state of the art systems to date
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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