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Dr Amin Amini, Dr Shahzad Tahmasebi Boroujeni, Dr Elahe Arabameri, Dr Hasan Ashayeri,
Volume 10, Issue 20 (11-2020)
Abstract

The ability to direct the gaze to optimal areas in the environmental context, at the appropriate time, is central to success in all sports. The aim of this study was to changes determine the elements of QE, during the run a reactivity launcher targeting skill, under different environmental demands. That was done to identify perceptual - cognitive effects performance-based infrastructure processes. Thus, 8 Athletes (22-28 Years old) with at least 5 years’ experience in dart throwing, in a counterbalanced manner performed under four target conditions of constraints environmental. Regulatory conditions (stationary/in motion) and inter-trial variability (present/absent) created four target conditions for reaction. During the run a launcher targeting skill and was continuously recorded characteristics related to gaze behavior in each scenario. In each condition, 10 trails 20 seconds conducted. Gaze behavior using an eye-tracking device Dikablis Professional Wireless model recorded and analyzed using DLab software information processing system and variance (ANOVA) with repeated measures. Results showed that there was significant between averages QE in four different environmental contexts (P≤0.001). The fastest QE onset was observed stationary – no inter-trial variability and QE offset and QE period belonged to in motion – no inter-trial variability and in motion– inter-trial variability. In general investigating factors involved in skillful performance in different implementation conditions in response to various constraints can be facilitator and effective in identifying important factors learning motor skills.

Mr Mohsen Mohammadi, Dr Abbas Bahram, Dr Saeeid Arsham, ,
Volume 100, Issue 100 (10-2020)
Abstract

The purpose of this research was to investigate the structure of the ball behavior in the futsal teams during the offensive  phase. The type of research was observational and the data extracted from the 12 games in the training matches of the players of the futsal resistance team present at the Premier League matches of 97-98 were recorded and analyzed. Using the SOCNET software, the values of the cluster coefficient were calculated and using the MATLAB software, Shannon entropy values for each team were calculated. The results showed that by increasing the number of training sessions, the values of the cluster and entropy coefficient of Shannon increased in both teams and there is a moderate correlation between the values of the cluster coefficient and Shannon entropy was observed with the number of training sessions. In general, and according to the results of this study, the functional variability of ball behavior patterns increased with training and team experience, and the level of complexity and unpredictability of the team network increased. According to the sensitivity of the behavioral patterns of the ball to the effects of training, sport analyzers can use the information from this level of analysis to explain the team's synergistic behaviors in futsal teams.
Dr Davoud Fazeli Kasrineh, Dr Hamidreza Taheri, Dr Alireza Saberi Kakhki,
Volume 100, Issue 100 (10-2020)
Abstract

The purpose of this study was to investigate the effect of practice variability in physical compared with observational practice on golf putting performance. To this end, 50 male right-handed students (25±3.7 years) of the Ferdowsi University of Mashhad participated in this study. Participants were randomly divided into 5 groups (physical constant, physical variable, observational constant, observational variable, and control). During acquisition, the physical variable group randomly performed 50 trials from 5 different starting points to 2 different targets, but the physical constant group performed 50 trials from one starting point to one predetermined target. The observational variable and constant groups observed the performance of the physical variable and constant groups, respectively. The control group just participated in pre-and post-tests and did not practice any trial. Participants performed a test just like the pre-test 10 minutes and also 24 hours after practice. Putting accuracy was measured as the dependent measure. Results showed that variability of practice had a positive effect on participants’ performance than constant practice in physical and observational conditions (all P<0.05). Maybe the similar underlying mechanisms and also the similar feedback effects resulted in the higher performance of the variable group than the constant group in physical performance and action observation.

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