The mixed pixels in remotely sensed data are one of the main error sources resulting in poor classification accuracy using traditional classification methods. In order to improve classification accuracy, linear spectral mixture analysis (LSMA) has been used to handle the mixed pixel problems. This paper aims to achieve an appropriate processing routine of LSMA through the comparison of classifi...

This research set out to find out the mate selection criteria among single female teachers. This qualitative study was carried out via thematic analysis approach. Using purposive sampling method, 15 single female teachers aged 18 to 30 years old were identified in Tehran and fifteen semi-structured interviews were conducted. The interviews were recorded, transcribed and then were analyzed using...

We used an online word-monitoring paradigm to examine sentence processing in healthy seniors and frontotemporal dementia patients with progressive nonfluent aphasia (PNFA) or a nonaphasic disorder of social and executive functioning (SOC/EXEC). Healthy seniors were sensitive to morphosyntactic, major grammatical subcategory, and selection restriction violations in a sentence. PNFA patients were...

This study* investigated computer classification performances for forest and other cover types using Thematic Mapper Simulator (TMS) data collected by NASA's NSOOI scanner. Specifically, results based on the use of a common feature selection measure -transformed divergence (TD) were compared to those based on a principal component transformation for the purpose of evaluating the capabilities of...

This paper investigates the relationship between two contextual factors which contribute to the characterization of text types: the purpose and the subject matter of discourse, and the thematic structure of texts. This is done through the empirical analysis of a corpus of sixty discourses varying in these two factors together. The results of the analysis yielded statistically significant correl...