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From now on, the SwarPlug product will contain VSTi and AU plugins, as well as thousands of MIDI rhythms and melodies from the Indian subcontinent. With this application, users will be able to play sounds as well as create their own digital ringtones.
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A norm-referenced instrument was developed and validated to assess the self-concept of school-aged children and adolescents with Down syndrome. The 91 items of the instrument were based on the following theoretical considerations: (a) the participants were examined because of their impairment of the ability to use social cues to know themselves, (b) the participants’ self-concept was conceptualized as a single construct (e.g., identity), and (c) the participants’ self-concept was considered to be an important indicator of their competence. This instrument was applied to 194 school-aged children and adolescents with Down syndrome. A confirmatory factor analysis of the self-concept construct found support for the two-factor structure of the self-concept (self-evaluation vs. social acceptance). Intercorrelations between the self-concept factors were moderate and moderate-to-high with the other facets of identity and competence, respectively. The validity of the instrument was supported by its stability and its association with the level of general competence and adaptive behavior.[The importance of caregivers in the access to oral health services].
This study analyzed the influence of caregiver’s age, sex, schooling, economic status, and occupation on the access to oral health services in a target group of elderly patients over 65 years of age at a university hospital. The research used the theoretical framework of the rights approach to health and the idea of the public health. A sample of 1,190 elderly people in a University Hospital was randomly selected. The dependent variable was the participants’ access to health services. The independent variables included caregiver’s age, sex, schooling, economic status, and occupation. Descriptive and bivariate analysis was performed using the SPSS program. The results showed that caregiver’s age was associated with the following variables: health services, level of schooling, economic status, and social level. However,
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