DIFFERENCE OF HYDROSTATIC WEIGHTING AND SKINFOLD METHODS IN DETERMINATON OF BODY FAT IN CHINESE ADULTS

INTRODUCTION: Body fat content can be determined by Hydrostatic weighing method and skin fold measurement. The former is the most accurate and is thought as “golden Standard”, while the later is an easy and simple way. Measurement of body fat content using skin fold method is by calculation based on the measured skin fold. But the formulas used to calculate body fat content were developed based on the studies in foreigners. We hypothesized that there was significant difference in the body fat content of Chinese determined by hydrostatic weighing and skin fold methods in which the formula was from the studies in foreigners. The formula developed based on the study in foreigners might not be suitable in the determination of body fat content in Chinese

A description of the transverse momentum distributions of charged particles produced in heavy ion collisions at RHIC and LHC energies

By assuming the existing of memory effects and long-range interactions in the hot and dense matter produced in high energy heavy ion collisions, the nonextensive statistics together with the relativistic hydrodynamics including phase transition is used to discuss the transverse momentum distributions of charged particles produced in heavy ion collisions. It is shown that the combined contributions from nonextensive statistics and hydrodynamics can give a good description to the experimental data in Au+Au collisions at sqrt(s_NN )= 200 GeV and in Pb+Pb collisions at sqrt(s_NN) )= 2.76 TeV for pi^(+ -) , K^(+ -) in the whole measured transverse momentum region, and for p(p-bar) in the region of p_T<= 2.0 GeV/c. This is different from our previous work, where, by using the conventional statistics plus hydrodynamics, the describable region is only limited in p_T<= 1.1 GeV/c.Comment: 14 pages, 3 figures, 2 table

THE COMPARISON OF AMONG DIFFERENT NUMERICAL INTEGRATION METHODS ON THE BIOMECHANICS OF SPORT COUNTERMOVEMENT JUMP

The subject of this research is the countermovement jump. Support phase data has been calculated in accordance with criteria set out in Riemann's Sum. Numerical integration methods employed include the Trapezoidal Rule (TR), TR+Simpson Rule (SR), and 3/8R+SR to calculate the error of the surface countermovement value. The subject of this research was a male basketball player, aged 25 years, 180 cm in height, and 80 kg. in weight. Swing-arm countermovement jumps of various force levels were performed a total of ten times. System sampling rate was set at 240Hz with data first passing through a Butterworth low-pass filter set at a cut-off frequency of 50Hz prior to calculating raw time and force values. Data was entered into an editing program written in turbo pascal as well as an Excel database to calculate end values. In terms of countermovement jump values, using the 3/8R+SR formula resulted in the smallest variance among result values, while TR resulted in the largest

EQUATIONS FOR DETERMING BODY FAT CONTENT BY SKINFOLD METHOD

The purpose of this study was to determine body fat content by skinfold (SKF) and hydrodensitometry methods. The subjects that were selected included 435 males and 410 females. Results showed that fat percentage (F%) calculated by SKF equations from other countries was significantly different from those measured by classical hydrostatic weighing techniques. This indicates that the SKF equations from other countries are not suitable for calculation of body fat content in the Chinese population. By establishing the body density (Db) of Hydrodensitometry as standard, the predicted regressive equations of body fat content in Chinese by skinfold method were develope

A method based on multiscale base-scale entropy and random forests for roller bearings faults diagnosis

A method based on multiscale base-scale entropy (MBSE) and random forests (RF) for roller bearings faults diagnosis is presented in this study. Firstly, the roller bearings vibration signals were decomposed into base-scale entropy (BSE), sample entropy (SE) and permutation entropy (PE) values by using MBSE, multiscale sample entropy (MSE) and multiscale permutation entropy (MPE) under different scales. Then the computation time of the MBSE/MSE/MPE methods were compared. Secondly, the entropy values of BSE, SE, and PE under different scales were regarded as the input of RF and SVM optimized by particle swarm ion (PSO) and genetic algorithm (GA) algorithms for fulfilling the fault identification, and the classification accuracy was utilized to verify the effect of the MBSE/MSE/MPE methods by using RF/PSO/GA-SVM models. Finally, the experiment result shows that the computational efficiency and classification accuracy of MBSE method are superior to MSE and MPE with RF and SVM