1,720,955 research outputs found
Metrological characterizationof commercial smartwatches: are these sensors suitable for the assessment of well-being?
No full textToday, an increasing number of wearable devices is equipped with biomedical sensors for monitoring physiological parameters, such as temperature, heart rate (HR), oxygen saturation (SpO 2 ), and blood pressure (BP). Wearable devices offer accurate and continuous data on essential physiological parameters, enabling improved quality of care and more proactive and personalized approaches to healthcare by assessing the subject’s overall well-being in living environments. However, it is crucial to pay attention to the accuracy and precision of the data provided by these devices, particularly when collecting physiological parameters, as their metrological validation is often inadequate despite their widespread use. It is essential to determine the impact of measurement errors on healthcare decision-making and on the development of personal comfort models (PCMs) in a view of improving well-being and quality of life. This study aims to assess the metrological performance of a commercial smartwatch, determining the accuracy and precision of heart rate and blood pressure measurements, given their relevance for well-being assessment. A test population of 20 healthy subjects was enrolled in the test. Results show that that HR and BP can be tracked, with certain precision and accuracy, using a wrist-worn wearable device, evaluated with respect to a medical grade sphygmomanometer. The bias at measuring HR was of 0.2 bpm with a confidence interval of CI95% = [−6.2, 6.6] bpm. Confidence intervals of [−4.6, 7.6] mmHg and [−9.7, 10.9] mmHg were obtained for the diastolic and systolic BP, respectively
Laser Doppler Vibrometry for detecting survivors in hard-to-reach environments
Full text linkSearch and Rescue (SAR) operations in remote and hazardous environments are crucial for the rapid and accurate location of survivors, with a timely response being essential during the "golden hours" following a disaster. Recent technological advancements offer innovative solutions to enhance SAR efforts. This study aims to investigate the use of Laser Doppler Vibrometry (LDV) as a tool for remote vital sign assessment and explore its integration with Machine Learning (ML) techniques for accurate individual identification in challenging SAR scenarios. Various scenarios, such as different distances, difficult angles, and non-ideal body placements, are explored in the study to faithfully recreate hard-to-reach environments. Two models, the OS-Model trained with data acquired under optimal conditions and the AS-Model trained with data acquired including all the different conditions studied, were compared to evaluate classification performance. Results indicate that the LDV-assisted ML approach, particularly the AS-Model, exhibits promising outcomes with a higher median prediction accuracy of 0.93, emphasizing the importance of diverse and comprehensive datasets. However, limitations regarding accuracy at greater distances, smaller angles, and lower-body laser targeting must be considered for practical implementation
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
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
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
- …
