scholarly journals Whole Part or Mini Games, Which One is the Most Effective Training Method to Improve Forearm Passing Ability in Volleyball?

Author(s):  
Yudi Pratama ◽  
Djoko Irianto
2017 ◽  
Vol 12 (4) ◽  
pp. 504-513 ◽  
Author(s):  
Charles-Mathieu Lachaume ◽  
François Trudeau ◽  
Jean Lemoyne

The purpose of this study was to investigate the energy expenditure and heart rate responses elicited in elite male midget ice hockey players during small-sided games. Nine players (aged 15.89 ± 0.33 years) participated in the study. Maximal progressive treadmill testing in the laboratory measured the relationship of oxygen consumption ([Formula: see text]) to heart rate before on-ice assessments of heart rate during six different small-sided games: 1v1, 2v2, 2v2 with support player, 3v3 with support player, 3v3 with transitions, and 4v4 with two support players. Heart rate was recorded continuously in each game. 3v3 T small-sided game was the most intense for all four intensity markers. All six small-sided games reached 89% HRmax or more with heart rate peaks in active effort repetition. These findings demonstrate that such small-sided games are considered as high intensity games and are an effective training method for ice hockey players.


2016 ◽  
pp. 900-921
Author(s):  
Michelle Aebersold ◽  
Dana Tschannen

The use of simulation in the training of healthcare professionals has become an essential part of the educational experience. Students and practitioners need to learn a variety of technical, interpersonal, and clinical judgment skills to be effective healthcare practitioners. Virtual simulation can provide an effective training method to facilitate learning and can be targeted to develop specific skills in the area of Interprofessional Education (IPE). This chapter reviews the literature around simulation techniques and outlines a development process that can be used to develop virtual simulations to meet a variety of learning objectives including IPE. Specific issues and solutions are also presented to ensure a successful educational experience.


Author(s):  
Junying Hu ◽  
Kai Sun ◽  
Hai Zhang

Artificial neural networks, consisting of many levels of nonlinearities, have been widely used to deal with various supervised learning tasks. At present, the most popular and effective training method is back-propagation algorithm (BP). Inspired by manifold regularization framework, we introduce a novel regularization framework, which aims at preserving the inter-object-distance of the data. Then a refined BP algorithm (IOD-BP) is proposed by imposing the proposed regularization framework into the objective function of BP algorithm. Comparative experiments on various benchmark classification tasks show that the new regularization BP method significantly improves the performance of BP algorithm in terms of classification accuracy.


2016 ◽  
Vol 41 (4) ◽  
pp. 421-424 ◽  
Author(s):  
M. E. Smith ◽  
A. Trinidade ◽  
J. R. Tysome

2007 ◽  
Vol 60 (6) ◽  
pp. 877-896 ◽  
Author(s):  
Jerwen Jou ◽  
Joseph Foreman

Participants learned semantic associates and were tested in the Deese–Roediger–McDermott (DRM) paradigm. A multiple-trial learning procedure with warning, feedback, and monetary incentive was employed to reduce false memory. Results showed that there was a progressive reduction of false memory over the trials as well as a generalization of learning to new lists of words in avoiding the critical nonpresented words attributable to explicit warning, feedback, and incentive, respectively. Both the feedback and the monetary incentive had an effect beyond what an explicit warning could obtain. In addition, participants were found to achieve false-memory reduction by enhancing the activation of the critical words and the monitoring process, rather than by strengthening the verbatim processing of the list words. It was concluded that false memory may not be as impervious to correction as was believed insofar as an effective training method is applied.


2017 ◽  
pp. 335-357
Author(s):  
Michelle Aebersold ◽  
Dana Tschannen

The use of simulation in the training of healthcare professionals has become an essential part of the educational experience. Students and practitioners need to learn a variety of technical, interpersonal, and clinical judgment skills to be effective healthcare practitioners. Virtual simulation can provide an effective training method to facilitate learning and can be targeted to develop specific skills in the area of Interprofessional Education (IPE). This chapter reviews the literature around simulation techniques and outlines a development process that can be used to develop virtual simulations to meet a variety of learning objectives including IPE. Specific issues and solutions are also presented to ensure a successful educational experience.


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