Background: Performance related musculoskeletal and associated health issues are prominent amongst musicians. The aim of this study was to explore self-reported musculoskeletal and related health issues in undergraduate music students. A further goal was to ascertain how these problems impact students’ learning and playing their instruments. Materials and Methods: A longitudinal mixed me...

Although several evaluation analyses have recently been proposed to assess the user or player experience of playing a video game, we found the need for these to be adapted when we wanted to apply them to young children. However, young children are unable to spend a long time grading many attributes or indexes after playing. Thus, selecting the most important aspects to be analyzed is required i...

introduction nurse-patient communication is highly important especially when the patient is a child. one thing that has been overlooked in the nursing profession or less discussed is how to communicate with children. design and training courses for the development of communication skills is considered as an important step in this direction. this study investigated the effect of training communi...

Deliberative experimental learning is an approach for learning explicit game strategies in a small number of trials by posting and experimentally satisfying learning goals. Learning explicit strategies is important for producing knowledge that can easily be transferred via analogy to new games, as well as for rapid learning. In our approach, experiments, or plans for learning, serve to drive bo...

The purpose of this study was to determine the effectiveness of role-playing teaching as a pedagogical approach for construction management educators in achieving educational objectives. Role-playing has been used as a pedagogical approach for many years mostly in sports education, theater, history and other social science disciplines. Utilizing the techniques of drama, role-playing teaching is...

Recently, the interest in reinforcement learning in game playing has been renewed. This is evidenced by the groundbreaking results achieved by AlphaGo. General Game Playing (GGP) provides a good testbed for reinforcement learning, currently one of the hottest fields of AI. In GGP, a specification of games rules is given. The description specifies a reinforcement learning problem, leaving progra...

This paper proposes a new approach to a novel value network architecture for the game Go, called a multi-labelled (ML) value network. In the ML value network, different values (win rates) are trained simultaneously for different settings of komi, a compensation given to balance the initiative of playing first. The ML value network has three advantages, (a) it outputs values for different komi, ...