1,720,962 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
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
“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
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
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
Object detection in thermal imagery for crowd density estimation
This work represents a research on deep-learning based approaches for object detection for the purpose of crowd density estimation. Specifically, thermal imagery which allows to preserve personal identity was used to train a deep learning object detection system. The ultimate objective of this work is to provide the client company with the tool which would facilitate better understanding of how various office, meeting, common and work spaces are being used across the campus, optimize crowd flows and drive down maintenance costs.
Theoretical background related to both, traditional computer vision and novel deep-learning methods for object detection was studied and outlined in this work. Based on the outcomes of such comparison, the most promising method was implemented into production.
Extensive empirical evidence obtained through extensive testing of the proposed solution demonstrated that the model exhibits high accuracy, great generalization capabilities and robustness against various perturbations in input images. It was concluded that provided solution satisfies both, accuracy and inference time requirements and therefore qualified to be deployed into production.
Finally, possible directions for further development were outlined. Improved performance can be achieved by alternating backbone network architecture and expanding the training data set
Neural and behavioral signatures of language control in highly proficient bilinguals: Evidence from healthy individuals and brain tumor patients
111 p.The bilingual population can provide a unique insight into bilingual language processing. One area debated in the literature is how a bilingual brain manages the known languages and what happens when damage occurs. The general aim of this thesis was to further our understanding of bilingual language processing and the functional reorganization that may occur due to external circumstances. This thesis extends previously reported findings on time-frequency MEG components that play an essential role in underpinning neural mechanisms during bilingual switching task. It also compares these findings to patients with brain tumors to better understand the impact of the growing tumor and the neural plasticity mechanisms following tumor resection. In this thesis, I also explore the possibility of a non-invasive ¿virtual lesion¿ approach to replicate some of the cognitive deficits when a tumor is located in one of the known semantic hubs trying to differentiate two networks: one including AG, IFG, and preSMA, and another one - MTG and ATL.Overall, the results suggest that highly proficient bilinguals implement a language-independent mechanism involved in cue-based language selection that enables controlled access to the intended lexico-semantic representation in the ATL, possibly through inhibition of the non-target lexical item and/or disinhibition of the target one.In the brain tumor population, the results suggest that when a tumor compromises areas critical for language processing, 1) it affects different languages differently and 2) to compensate for the processing deficits, bilateral AG and DLPFC take over as the main areas for processing.In the TMS experiment the findings suggest that the left AG is involved in processing bilingual language control, whereas the MTG might not be involved to such degree despite previous findings where both AG and MTG are involved. However, in line with previous evidence, this experiment supports the idea that AG and MTG are not constituting the same network and are functionally dissociable
koamabayili/VECTRON-author-checklist: VECTRON author checklist
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
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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