Clinical Calorimetry

Bois, Eugene F. Du

doi:10.1001/archinte.1916.00080130067006

Cited by 42 publications

(4 citation statements)

References 4 publications

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“…This processes brings our model in agreement with the "starburst vs. quiescent KS law" pointed out by observations, throughout the duration of the merging process. Clustered star formation in high-resolution merger models can also affect the final structure of the resulting early-type galaxies (Bois et al 2010).…”

Section: General Star-formation Laws and The Starburst Regimementioning

confidence: 99%

The Driving Mechanism of Starbursts in Galaxy Mergers

Teyssier

Chapon

Bournaud

2010

ApJ

266

296

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We present hydrodynamic simulations of a major merger of disk galaxies, and study the ISM dynamics and star formation properties. High spatial and mass resolutions of 12 pc and 4 × 10 4 M ⊙ allow to resolve cold and turbulent gas clouds embedded in a warmer diffuse phase. We compare to lower resolution models, where the multiphase ISM is not resolved and is modeled as a relatively homogeneous and stable medium. While merger-driven bursts of star formation are generally attributed to large-scale gas inflows towards the nuclear regions, we show that once a realistic ISM is resolved, the dominant process is actually gas fragmentation into massive and dense clouds and rapid star formation therein. As a consequence, star formation is more efficient by a factor of up to ∼ 10 and is also somewhat more extended, while the gas density probability distribution function (PDF) rapidly evolves towards very high densities. We thus propose that the actual mechanism of starburst triggering in galaxy collisions can only be captured at high spatial resolution and when the cooling of gas is modeled down to less than 10 3 K. Not only does our model reproduce the properties of the Antennae system, but it also explains the "starburst mode" revealed recently in high-redshift mergers compared to quiescent disks.

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Section: General Star-formation Laws and The Starburst Regimementioning

confidence: 99%

The Driving Mechanism of Starbursts in Galaxy Mergers

Teyssier

Chapon

Bournaud

2010

ApJ

266

296

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“…To report the estimated basal metabolic rate of the young athletes several sex-and age-specific equations were used. On the one hand we calculated the approximate surface area (Du Bois, 1916) and subsequently we input the necessary data for the Fleisch (1951) equations accordingly. On the other hand, the basal metabolic rate was also estimated according to the Schofield (1985) equations.…”

Section: Basal Metabolic Ratementioning

confidence: 99%

Morphology, body composition and maturity status of young Colombian athletes from the Urabá subregion: A k-Medoids and hierarchical clustering analysis

Bonilla¹,

Peralta²,

Bonilla³

et al. 2020

Journal of Human Sport and Exercise - 2020 - Summer Conferences of Sports Science

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The Urabá subregion is one of the most prominent cradles of Colombian elite athletes and, therefore, highly recognized within the "Land of Athletes" framework of the Colombian Ministry of Sports. In order to contribute to the young talent identification and selection of sports specialization, the aim of this STROBE-based cross-sectional study was to determine the morphological characteristics (MC), body composition (BC) and maturity status (MS) of U16 athletes from this subregion (7 municipalities). Eighty-one young athletes (66 weightlifters, 15 boxers) with at least one regional-competition of experience participated (33F; 48M; 14.9 ± 1.4 years; 62.28 ± 16.6 kg; 162.8 ± 9.9 cm). After parental informed consent, ISAKstandardized anthropometric data were collected during a youth sports championship. Athletes were subdivided in clusters using the PAM (k-Medoids clustering) and the bottom-up agglomerative (hierarchical clustering) algorithms. Both clustering methods were based on 55 variables that encompassed MC (raw variables, indices, somatotype), BC (five-compartment model, %BF-equations, ∑S) and MS (maturity offset, PHV, inter alia). The number of clusters was predefined as k = 2 since was the best solution according to 18 criterion-algorithms (100 bootstrap simulations). Non-parametric tests showed significant differences between sex, sports, municipalities and clusters for certain analysed variables. Internal validity of the clustering showed that sport type might explain the variation in the data; thus, it is noteworthy reasonable to recommend the implementation of unsupervised machine learning strategies along with other supervised methodologies in the identification and characterization of young talents and early sports specialization in Colombian athletes with Olympic projection but further research and support is needed.

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“…The gradual development of our present knowledge of this subject has been outlined by Du Bois (4). He has reviewed the early history of these investigations in the German literature.…”

Section: The Researches Of Murray (1) Mccan'isonmentioning

confidence: 99%