THE COMPARISON OF ELBOW ACCELERATION BY WEARING DIFFERENT TENNIS ELBOW BRACES

The purpose of this study was to analyze the discrepancy of impact between forehand and backhand strike and compare the difference of elbow impact acceleration among various elbow braces. Eight elite tennis players and eight amateur players were served as the subjects to conduct the test of forehand and single backhand strikes. Three accelerometers were used to acquire the acceleration signals. The subject was asked to perform forehand and backhand strikes with 3 brace situations (no brace, aircast brace and counterforce brace). Two-way ANOVA was performed to determine the discrepancy among the tennis players of different skill level with three different brace conditions. When forehand striking, the acceleration signal had significant differences between elite and amateur groups whether wearing brace or not at racket and elbow area. When backhand striking, the acceleration signal had significant difference between elite and amateur groups whether wearing brace or not at racket and elbow area. It seems that the elite players could strike the ball at center of racket (sweet spot) result in the energy transfer return to ball and reduce the vibration of racket. It had no significant difference between three bracing condition. It means that wearing brace can not reduce impact, it only change the pulling direction of the wrist extensor muscle when wrist action

AN ANALYSIS OF SPECIFIC FlTNESS TESTING IN FEMALE JUNIOR TENNIS PLAYERS

The purpose of the present study was to determine the anthropometry, physical fitness parameters and compare with USTA normative data. Seven-teen female teenage tennis players who have the Taiwan national level were included in the study. The analysis focused on the examination of muscular strength, endurance, power flexibility, speed and agility. Results showed that (a) there were excellent performances in grip strength of the nondominant hand (7.8%) and hexagon test (8.1 %) scored well relative to USTA normative data. (b) there were needs improvement performance in sit and reach (0.5%) and spider test (6.7%) relative to USTA. In conclusion, this study indicated the identification of weaknesses in flexibility, speed and agility parameters and allows designing efficient physical training programs

THE COMPARISON OF BALANCE ABILITY BETWEEN JUDO PLAYERS AND NON- ATHLETES

This present study investigated the balance ability between elite judo players and nonathletes. The subjects consisted of two groups. The judo players group consisted of ten elite judo players with mean age 21.2 ± 1.5 years and the second group consisted of ten non- athletes with a mean age of 19.2 ± 1.9 years. There were two tests in the study: the static balance test and the dynamic balance test. The equipment used in this study included Kistler force plate system and tensiometer. The results of this study were analyzed by a t-test in order to detect the difference in balance standing time on one leg with eyes closed, center of pressure (COP) of body sway and time of balance recovery between two groups. In the static balance tests, the radius of body sway COP judo players group was significantly smaller than that of the non-athlete group. In the dynamic balance test, there was also a significant difference in the time of balance recovery between two groups

How To Persuade Non-Mobile Shoppers Into Mobile Shoppers: A Trust Enhancing Perspective

Mobile shopping is getting popular and pervasive. However, the number of mobile users is not parallel to the number of mobile shoppers, because consumers frequently concern about security while conducting mobile transactions. The current study aims to elaborate in what trust enhancing message designs can be used to persuade non-mobile shoppers into mobile shoppers. Drawing on social judgment theory and the model of persuasion, our study has the potential revealing that consumers’ negative attitudes toward ubiquitously using credit cards over the air can be improved by persuasive messages if they are added into the checkout page of a shopping website

Revisiting electroweak phase transition in the standard model with a real singlet scalar

We revisit the electroweak phase transition in the standard model with a real scalar, utilizing several calculation methods to investigate scheme dependences. We quantify the numerical impacts of Nambu-Goldstone resummation, required in one of the schemes, on the strength of the first-order electroweak phase transition. We also employ a gauge-independent scheme to make a comparison with the standard gauge-dependent results. It is found that the effect of the Nambu-Goldstone resummation is typically $\sim1\%$. Our analysis shows that both gauge-dependent and -independent methods give qualitatively the same result within theoretical uncertainties. In either methods, the scale uncertainties in the ratio of critical temperature and the corresponding Higgs vacuum expectation value are more than 10%, which signifies the importance of higher-order corrections.Comment: 15 pages, 2 figures; v2: some clarifications and references added, version to appear in PL

Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation

While representation learning aims to derive interpretable features for describing visual data, representation disentanglement further results in such features so that particular image attributes can be identified and manipulated. However, one cannot easily address this task without observing ground truth annotation for the training data. To address this problem, we propose a novel deep learning model of Cross-Domain Representation Disentangler (CDRD). By observing fully annotated source-domain data and unlabeled target-domain data of interest, our model bridges the information across data domains and transfers the attribute information accordingly. Thus, cross-domain joint feature disentanglement and adaptation can be jointly performed. In the experiments, we provide qualitative results to verify our disentanglement capability. Moreover, we further confirm that our model can be applied for solving classification tasks of unsupervised domain adaptation, and performs favorably against state-of-the-art image disentanglement and translation methods.Comment: CVPR 2018 Spotligh