1,720,970 research outputs found
Virtual Reality Based System for Measurement and Interpretation of Pupillary Function
No full textUnderstanding a person’s physiological and psychological state requires the evaluation of pupillary function, which has a variety of uses, including assessing cognitive load, fatigue, and focus. Traditional pupillometry techniques such as, infrared cameras, eye-tracking glasses etc., however, can be time-consuming, expensive, and invasive. These techniques can be painful or uncomfortable for the individual, which would decrease compliance and possibly skew the data, and results. Additionally, these may also not always produce standardized testing conditions or accurately reflect the subject’s real-world experiences. A more effective, promising and realistic alternative method of assessing pupillary function is made possible by virtual reality (VR) technology. This research highlights the benefits of utilizing VR to measure pupillary function, including the creation of controlled, standardized testing environments, the capacity to gather data in a more naturalistic setting, and the ability to offer more flexibility in experimental design. Researchers can create and manage precise VR settings that cause certain pupillary responses, leading to more uniform experimental conditions and enhanced reproducibility and validity of findings. Moreover, VR enables more realistic, captivating, and immersive scenarios that produce data that is more ecologically valid. VR technology can also control other sensory modalities including auditory and olfactory inputs, which can be challenging to incorporate in conventional pupillometry. Overall, VR-based solutions are superior to conventional approaches in many ways and have enormous potential to further our knowledge of pupillary function and its significance in physiological and psychological processes
A Unified Unsupervised Anomaly Detection Framework with Score-based Generative Modeling for Multivariate Time Series
No full textThe challenge in unsupervised anomaly detection is the unknown nature of anomalous data points. This task requires the identification of abnormal patterns within the data, even when we lack prior knowledge about what those anomalous patterns might explicitly suggest. Existing unsupervised anomaly detection methods have attempted to address this issue by focusing on limited aspects of the overall problem. These methods can be broadly categorized into four main approaches: reconstruction-based, density estimation-based, boundary description-based, and explicit data characteristic modeling-based. Although each of these methodologies has its own advantages, they are also limited by inherent weaknesses that restrict their effectiveness yielding to sub-optimal results. In this research, I present a novel methodological framework, Unified Unsupervised Anomaly Detection (U2AD), that comprehensively addresses the problem of anomaly detection in multivariate time series. This approach provides a deeper understanding of anomalies within the data distribution space while elucidating the dynamics of non-anomalous data. The framework integrates previous techniques while offering a fresh, holistic perspective. This allows for the creation of customized solutions for various applications by increasing adaptability in selecting appropriate components needed for accurate, robust, and efficient anomaly detection in multivariate time series. Utilizing score-based generative modeling in conjunction with reengineered time-dependent score network and novel training objectives further enhances comprehension of anomalies. Additionally, reconstruction is achieved through the sampling method with deterministic numerical ordinary differential equation solver. Extensive experiments demonstrate that this methodology not only improves anomaly detection precision but also identifies anomalies at earlier stages than current state-of-the-art methods
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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