Introduction: Barr body is of the X chromosomes formed from random inactivation and condensation of one of the two female chromosomes in virtually all the somatic cells of female mammals. In practice stains such as Papanicolaou, and carbol fuchsin, have proved suitable because they produced stronger contrast and are much simple to manipulate. Aim: Our study aimed to assess the efficacy of gende...

in spite of the importance of teacher's motivation only a limited number of studies have been conducted on teacher's demotivation in iran. this study was an attempt to investigate demotivating factors among iranian efl language institute teachers in terms of years of teaching experience. to this end, the researchers tried to utilize a questionnaire as a research method. to collect dat...

knowledge transfer was the most important factors of success for organizations in today's complex and changing environment as one of aspects of knowledge management. the aim of this study was to investigate the relationship between intrinsic motivation and extrinsic motivation by transfer the employee’s knowledge in social security organizations in kerman. the method research is descriptiv...

We examined affective forecasting errors as a possible explanation of the perennial appeal of extrinsic values and goals. Study 1 found that although people relatively higher in extrinsic (money, fame, image) compared to intrinsic (growth, intimacy, community) value orientation (REVO) are less happy, they nevertheless believe that attaining extrinsic goals offers a strong potential route to hap...

This paper reports a standardised method termed as Stain Degradation Assessment (SDA) method, developed for the quantitative evaluation of self-cleaning efficiency of the finished fabric. The method involves (i) a standardized staining procedure to apply a uniform stain on the fabric, (ii) instrumental evaluation of photodegradation of stain in terms of K/S using a template to reduce error, and...

Stain variations often decrease the generalization ability of deep learning based approaches in digital histopathology analysis. Two separate proposals, namely stain normalization (SN) and augmentation (SA), have been spotlighted to reduce error, where former alleviates shift across different medical centers using template image latter enriches accessible styles by simulation more variations. H...