1,721,005 research outputs found
sj-docx-1-dhj-10.1177_20552076231218885 - Supplemental material for Diurnal cardio-respiratory changes in ambulatory individuals deciphered using a multi-parameter wearable device
No full textSupplemental material, sj-docx-1-dhj-10.1177_20552076231218885 for Diurnal cardio-respiratory changes in ambulatory individuals deciphered using a multi-parameter wearable device by Dean Nachman, Arik Eisenkraft, Yotam Kolben, Erez Carmon, Esther Hazan, Nir Goldstein, Arik Ben Ishay, Mor Hershkovitz, Meir Fons, Roei Merin, Offer Amir, Rabea Asleh and Yftach Gepner in DIGITAL HEALTH</p
sj-docx-2-dhj-10.1177_20552076231218885 - Supplemental material for Diurnal cardio-respiratory changes in ambulatory individuals deciphered using a multi-parameter wearable device
No full textSupplemental material, sj-docx-2-dhj-10.1177_20552076231218885 for Diurnal cardio-respiratory changes in ambulatory individuals deciphered using a multi-parameter wearable device by Dean Nachman, Arik Eisenkraft, Yotam Kolben, Erez Carmon, Esther Hazan, Nir Goldstein, Arik Ben Ishay, Mor Hershkovitz, Meir Fons, Roei Merin, Offer Amir, Rabea Asleh and Yftach Gepner in DIGITAL HEALTH</p
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
Dissatisfaction with Married Life in Men Is Related to Increased Stroke and All-Cause Mortality
No full textThe objectives of this study were to assess the association between marital satisfaction and specific and all-cause mortality, and to examine whether this association is independent of other known risk factors for early mortality. In this prospective cohort, male Israeli civil servants and municipal employees (n = 8945) underwent an extensive appraisal of health and behavioral patterns and were followed for more than three decades. Cox proportional hazards analysis was used to estimate the relative risks for stroke and all-cause mortality over time across marital satisfaction categories. During the 32 years of follow-up, 5736 (64.1%) died. Dissatisfaction with married life was related to increased long-term risk of stroke (HR = 1.94; 95%CI, 1.41–2.90) and all-cause mortality (HR = 1.21; 95%CI, 1.04–1.41). The latter association was of a similar order of magnitude to other known risk factors for early mortality, such as people with a history of smoking (HR = 1.37; 95%CI, 1.30–1.48) compared to people who have never smoked and for physically inactive participants (HR = 1.21; 95%CI, 1.14–1.37) compared to physically active participants. The results of our study suggest that marital dissatisfaction may predict an elevated risk of all-cause mortality. Assessing marital satisfaction and measuring the health benefits of marital education programs for couples should be implemented as part of health promotion strategies for the general population
Cross-Validation of a New General Population Resting Metabolic Rate Prediction Equation Based on Body Composition
No full textCurrent prediction equations for resting metabolic rate (RMR) were validated in a relatively small sample with high-individual variance. This study determined the accuracy of five common RMR equations and proposed a novel prediction equation, including body composition. A total of 3001 participants (41 ± 13 years; BMI 28.5 ± 5.5 kg/m2; 48% males) from nutrition clinics in Israel were measured by indirect calorimetry to assess RMR. Dual-energy X-ray absorptiometry were used to evaluate fat mass (FM) and free-fat mass (FFM). Accuracy and mean bias were compared between the measured RMR and the prediction equations. A random training set (75%, n = 2251) and a validation set (25%, n = 750) were used to develop a new prediction model. All the prediction equations underestimated RMR. The Cunningham equation obtained the largest mean deviation [−16.6%; 95% level of agreement (LOA) 1.9, −35.1], followed by the Owen (−15.4%; 95% LOA 4.2, −22.6), Mifflin–St. Jeor (−12.6; 95% LOA 5.8, −26.5), Harris–Benedict (−8.2; 95% LOA 11.1, −27.7), and the WHO/FAO/UAU (−2.1; 95% LOA 22.3, −26.5) equations. Our new proposed model includes sex, age, FM, and FFM and successfully predicted 73.5% of the explained variation, with a bias of 0.7% (95% LOA −18.6, 19.7). This study demonstrates a large discrepancy between the common prediction equations and measured RMR and suggests a new accurate equation that includes both FM and FFM
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