Intelligent Prediction of Soccer Technical Skill on Youth Soccer Player’s Relative Performance Using Multivariate Analysis and Artificial Neural Network Techniques

This study aims to predict the potential pattern of soccer technical skill on Malaysia youth soccer players relative performance using multivariate analysis and artificial neural network techniques. 184 male youth soccer players were recruited in Malaysia soccer academy (average age = 15.2±2.0) underwent to, physical fitness test, anthropometric, maturity, motivation and the level of skill related soccer. Unsupervised pattern recognition of principal component analysis (PCA) was used to identify the most significant parameters in soccer for the current study and intelligent prediction of artificial neural network (ANN) was developed to determine its predictive ability for the soccer relative performance index (SRPI). The PCA has indicated sit up, agility, 5m speed, 10m speed, 20m speed, weight, height, sitting height, bicep, tricep, subscapular, suprailiac, calf circumference, maturity, task, ego, short pass, shooting right top corner and shooting left top corner are the most significant parameters in soccer. Meanwhile, the PCA-ANN showed better predictive ability in the determination of SRPI with fewer parameters such as R2 and root mean square error (RMSE) values of 0.922 and 0.190, respectively. The current study indicated that only a few parameters are needed to improve and enhanced the performance of novice group. Nevertheless, the prediction method techniques for the present study show very high and strong ability in prediction of the player’s performance. It has highlighted the possibility of defining the optimum number of parameters for the player's relative performance evaluation, which in turn will reduce the costs, energy and time of the measurement

Transition from amplified spontaneous emission to laser action in disordered media of R6G dye and TiO2 nanoparticles doped with PMMA polymer

A random laser (RL) based on organic Rhodamine 6G (R6G) laser- dye and TiO2 suspended nanoparticles have been prepared with polymethylmethacrylate (PMMA) as a host. Both liquid and spray-coated homogeneous film samples of 22.4-30.1µm thickness range were use. Optimum concentrations have been determined depending on the normal fluorescence spectra which give evidence that the laser dye provides amplification and TiO2 nanoparticles act as scatter center. At the optimum concentrations, results of the random laser (RL) under second harmonic Nd: YAG laser excitation show that the values of bandwidth at full width half-maximum (FWHM) and the threshold energy are about 9 nm and 15 mJ respectively, which represent the minimum value for the liquid samples in the current research. Correspondly, these values become 14 nm and 15 mJ for film sample. The broadening that can be attributed to the concentration quenching of a laser dye at high a concentration level has been observed

Motivation And Involvement Toward Physical Activity Among University Students

This study investigates intrinsic and extrinsic factors that influence involvement of university students to participate in physical activity. 400 students comprising 200 men and 200 women were used as the main respondents were respond to the adapted Exercise Motivations Inventory questionnaire. It revealed that highest mean value of the intrinsic factors are health and fitness (M = 4.37), while for extrinsic factors are factors peers and friends (M = 3.97). There is significant differences in the involvement of intrinsic motivation factors motivated health and fitness (t = -5.05, p < 0.05) and body-related factors (t = -6.51, p < 0.05) by gender. As for the extrinsic motivation that only the family (t = -6.98, p < 0.05) showed significant differences by gender. Lastly, intrinsic motivation body related and extrinsic motivation factors (role of university) are the most contributing factors to the physical activity

Cystatin C, a marker for successful aging and glomerular filtration rate, is not influenced by inflammation

Abstract Background. The plasma level of cystatin C is a better marker than plasma creatinine for successful aging. It has been assumed that the advantage of cystatin C is not only due to it being a better marker for glomerular filtration rate (GFR) than creatinine, but also because an inflammatory state of a patient induces a raised cystatin C level. However, the observations of an association between cystatin C level and inflammation stem from large cohort studies. The present work concerns the cystatin C levels and degree of inflammation in longitudinal studies of individual subjects without inflammation, who undergo elective surgery. Methods. Cystatin C, creatinine, and the inflammatory markers CRP, serum amyloid A (SAA), haptoglobin and orosomucoid were measured in plasma samples from 35 patients the day before elective surgery and subsequently during seven consecutive days. Results. Twenty patients had CRP-levels below 1 mg/L before surgery and low levels of the additional inflammatory markers. Surgery caused marked inflammation with high peak values of CRP and SAA on the second day after the operation. The cystatin C level did not change significantly during the observation period and did not correlate significantly with the level of any of the four inflammatory markers. The creatinine level was significantly reduced on the first postoperative day but reached the preoperative level towards the end of the observation period. Conclusion. The inflammatory status of a patient does not influence the role of cystatin C as a marker of successful aging, nor of GFR