this article tries to design and explain a model through which tv programs can result in institutionalization of the twenty- year vision deed (iran 2025). since the influence of television on cognitive, normative and regulative frameworks of the societies has a consolidated theoretical base, this research is looking for the indirect influences of this media on the institutionalization process o...

background adaptation is an important process for humans. children, who are physically or mentally disabled, impose special stresses on their families, parents and in particular on their mothers. objectives this study examines the relationship between the characteristics of mothers who have educable mentally retarded children, and their adaptation based on roy’s adaptation model. patients and m...

This paper p roposes semi-blind channel e s t ima t ion and interference cancel la t ion schemes for the reception of pilot-aided signals i n WCDMA systems. It is shown that the pe r fo rmance of classical training-based schemes is severely degraded due t o the code-multiplexing (as opposed to t imemult iplexing) of traffic and pilot signals. The timedispers ivi ty of the channel des t roys the...

objective: the aim of this study is to explore the confirmatory factor analysis results of the persian adaptation of statistics anxiety measure (sam), proposed by earp. method: the validity and reliability assessments of the scale were performed on 298 college students chosen randomly from tabriz university in iran. confirmatory factor analysis (cfa) was carried out to determine the factor stru...

When the adaptation level is not high enough, the maximum adaptation stimulus is not equal with the plot of illuminant. This property is accepted in this paper. Using this property, we propose a chromatic adaptation model for the level of adapting luminance and chromaticity in various surrounding illuminants. In this model, we calculate the maximum adapting responses using adapting degree for v...

In this paper we address the issue of building language models for very small training sets by adapting existing corpora. In particular we investigate methods that combine task specific unigrams with longer range models trained on a background corpus. We propose a new method to adapt class models and show how fast marginal adaptation can be improved. Instead of estimating the adaptation unigram...