CURRENT SOCIAL NEEDS MUSIC THERAPY
نویسندگان
چکیده
منابع مشابه
Music therapy and sleep cycle
Sleep is a basic behavior in humans. There are some research reports on the cyclical patterns of different types of sleep and their relationship to breathing, heart rate, brain waves, and other physical function. More recently, scientific research has begun to show how music therapy interacts with relaxation and sleep cycle. This research is focusing on the following hypotheses: 1. Music could ...
متن کاملMusic therapy and sleep cycle
Sleep is a basic behavior in humans. There are some research reports on the cyclical patterns of different types of sleep and their relationship to breathing, heart rate, brain waves, and other physical function. More recently, scientific research has begun to show how music therapy interacts with relaxation and sleep cycle. This research is focusing on the following hypotheses: 1. Music could ...
متن کاملThe Effect of Music Therapy Along With Play Therapy on Social Behaviors and Stereotyped Behaviors of Children With Autism
Objective: In this study, we aimed to investigate the effect of Music Therapy (MT) along with Play Therapy (PT) on increasing appropriate Social Behaviors (SBs) and decreasing inappropriate stereotyped behaviors of children with autism. Methods: This is an experimental study, and we used pre-test and post-test control group design to analyze the data. The study sample included 30 children with...
متن کاملMusic therapy: A community approach to social justice
This theoretical paper demonstrates how music therapy—and more specifically, community music therapy (CoMT)—can contribute to social justice. CoMT is a creative approach that the liberates expression, potentially empowering people of all ages, races, and statuses to build a better society. It also reveals how the leadership literature presents the concept of service in addressing social justice...
متن کاملMining Music Social Networks for Automating Social Music Services
Community-driven services compile data provided by the community members, for instance playlists in Web 2.0 music sites. We show how this data can be analysed and knowledge about sequential associations between songs and artists can be discovered. While most of this kind of analysis focus on (symmetric) similarity measures, we intend to discover which songs can “musically follow” others, focusi...
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ژورنال
عنوان ژورنال: International Journal of Research -GRANTHAALAYAH
سال: 2015
ISSN: 2350-0530,2394-3629
DOI: 10.29121/granthaalayah.v3.i1se.2015.3411