1,721,061 research outputs found
Life Curves, Health and Physical Activity
No full textThe study of life curves, of age-related health problems, and of ageism, thus, connects biological and humanistic-cultural perspectives on aging - and opens for new questions. The Western capitalist model of development, focuse on productivity, marks people's lifes deeply, and the problem of old age is an indicator in terms of suffering, illnesses and disabilities. This study focuses on two, very different curves of the life path: the Western curve of productivity and the Japanese U-curve of life. These curves will be compared and discussed in connection with some empirical findings about well-being, available in the literature. Finally, we will look at some biological issues of aging and at the role of physical activity, and how these fit into the paradigm of life curves
Recovery and sleep influence the external load outputs and perceived exertion of youth basketball players
No full textExternal, internal, perceived training loads and their relationships in youth basketball players across different positions
No full textPurpose: To quantify external, internal, perceived training loads and their relationships in youth basketball players across different playing positions. Methods: Fourteen regional-level youth male players (age: 15.2 ± 0.3 years) were monitored during team-based training sessions across 10 in-season weeks. Players were monitored with BioHarness-3 devices, to measure external (Impulse Load, in N·s) and internal (Summated-Heart-Rate-Zones, SHRZ, in arbitrary units, AU) loads, and with the session Rating-of-Perceived-Exertion (sRPE, in AU) method to quantify perceived training load. Multiple linear mixed models were performed to compare training loads between playing positions (backcourt; frontcourt). Repeated-measures correlations were performed to assess relationships between load models, for all players and within playing positions. Results: External load (backcourt: 13599 ± 2260 N·s; frontcourt: 14934 ± 2173 N·s) and sRPE (backcourt: 345 ± 132 AU; frontcourt: 505 ± 158 AU) were higher in frontcourt (p< 0.05, ES: moderate), while SHRZ was similar between positions (backcourt: 239 ± 45 AU; frontcourt: 247 ± 43 AU) (p> 0.05; ES: trivial). Correlations were: large between external load and SHRZ (r= 0.57, p< 0.001); moderate between SHRZ and sRPE (r= 0.45, p< 0.001); and small between external load and sRPE (r= 0.26, p= 0.02). Correlation magnitudes were equivalent for external load-SHRZ (large) and SHRZ-sRPE (moderate) across positions, but different for the external load-sRPE correlation (small in backcourt; moderate in frontcourt). Conclusions: In youth basketball, small-large commonalities were found between training dose (external load) and players’ responses (internal, perceived loads). Practitioners should carefully manage frontcourt players since they accumulate greater external and perceived loads than backcour
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
Monitoring Training Load and Perceived Recovery in Female Basketball: Implications for Training Design
No full textThis study investigated the relationship between internal training load and perceived recovery of semi-professional female basketball players during the competitive season. Eleven female players were monitored for 14 weeks during the in-season phase. For each event (training and game), data were collected as follows: (a) Total Quality Recovery (TQR) score before the event (TQRpre); (b) session Rating of Perceived Exertion (sRPE) 20 minutes after completion of the event, to calculate training load (s-TL) of the event; and (c) TQR scores 12 (TQRpost12) and 24 hours (TQRpost24) after the event. Data were analyzed for daily, weekly, and meso- cycle (regular season; regional play-off; and national play-off) time frames. Daily analysis showed that: TQRpost12 was lower than TQRpre (p= 0.001) and TQRpost24 (p= 0.001); s-TL had a moderate negative correlation with TQRpost12 (r = 0.48, p = 0.002); the difference between TQRpre and RPE (TS-D) had a very large positive correlation with TQRpost12 (r = 0.70, p , 0.001); and TQRpost24 was not significantly correlated with training parameters. Weekly analysis highlighted a very large negative correlation between the acute:chronic workload ratio and TQR collected at the start of the following week (TQRfw) (r = 0.86, p= 0.001). Finally, although weekly TL and TQRfw did not differ between mesocycles, their correlation increased in the later seasonal phases. This study demonstrated negative relationships between training load and recovery of semi-professional female basketball players at daily, weekly, and mesocycle levels. Therefore, concurrently monitoring training and recovery with the sRPE method and TQR scale is recommended for designing training schedules in basketball
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