1,721,025 research outputs found
Human Activity Recognition using Inertial, Physiological and Environmental Sensors: A Comprehensive Survey
Full text linkIn the last decade, Human Activity Recognition (HAR) has become a vibrant research area, especially due to the spread of electronic devices such as smartphones, smartwatches and video cameras present in our daily lives. In addition, the advance of deep learning and other machine learning algorithms has allowed researchers to use HAR in various domains including sports, health and well-being applications. For example, HAR is considered as one of the most promising assistive technology tools to support elderly's daily life by monitoring their cognitive and physical function through daily activities. This survey focuses on critical role of machine learning in developing HAR applications based on inertial sensors in conjunction with physiological and environmental sensors
Circulating endothelial cells as potential markers of the state of the endothelium in hemodialysis patients
No full textBACKGROUND: Patients with chronic kidney disease (CKD) are at high risk for atherosclerotic cardiovascular disease (ACVD). In addition to the same epidemiological risk factors of the general population, factors unique or secondary to the uremic milieu may contribute to excess cardiovascular morbidity and mortality. Recent studies suggest the endothelium has a key role in the development of atherosclerosis. Circulating endothelial cells (CECs) may be a tool to study the state of the endothelium, with their number markedly increased in conditions associated with a high degree of endothelial cell activation and/or injury. Our hypothesis is that CEC number increases in diseases that commonly progress to stage 5 CKD, as well as in patients on hemodialysis (HD) therapy, reflecting ongoing endothelial cell activation and/or injury. METHODS: The study population consisted of 22 healthy nonsmoking individuals, 29 individuals undergoing long-term HD treatment, 10 individuals with the diagnosis of diabetes mellitus and stage 1 or 2 CKD, and 7 individuals with hypertension and stage 1 or 2 CKD. The number of CECs was enumerated in all study groups. RESULTS: We found that CEC number was increased in HD patients, hypertensive patients, and patients with diabetes compared with healthy individuals. In addition, although CEC number did not accurately reflect the presence of ACVD, the number was increased significantly in a group of HD patients with active ACVD, whereas it was decreased significantly in a group of HD patients with stable ACVD. CONCLUSION: Our results suggest that CEC number may reflect ACVD activity in HD patients, independent of the presence of ACVD
Orta derecede esansiyel hipertansiyonu olan hastalarda sol ventrikülün geometrik adaptasyonu,tuz duyarlılığı ile ekstrakardiyak hedef organ hasarı arasındaki ilişki
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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
Response to Comment on “MySurgeryRisk: Development and Validation of a Machine-learning Risk Algorithm for Major Complications and Death After Surgery”
No full textDispelling 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
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