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As mobile connectedness continues to sweep across the landscape, the value of deploying mobile technology at the service of learning and teaching seems to be both self-evident and unavoidable. To this end, this study employed multimedia to develop three types of vocabulary learning materials. Due to the importance of short-term memory in the realm of vocabulary learning, careful consideration was given to the L2 learners' different visual and verbal short-term memories. 158 L2 learners aged 18-23 participated in the major phases of vocabulary learning experiment through mobile. Based on their scores on the English Vocabulary and Recall tests and statistical analysis of the results it was revealed that L2 learners with high-visual and high-verbal abilities find it easier to learn the content presented with both pictorial and written annotations. However, L2 learners with low-visual and low-verbal abilities benefit from learning materials presented without annotations. Furthermore, delivery of learning materials with pictorial annotation to learners with high-visual ability and the delivery of learning materials with written annotation to learners with high-verbal ability result in better vocabulary learning. The findings of this study could perform as a roadmap in creating learning materials for mobile learning English language.

•Original research article• Background: Up to 8% of women in their reproductive years are affected by Premenstral Dysphoric Disorder (PMDD). Sleep disturbances such as insomnia or hypersomnia are one of the DSM-IV-TR's defining criteria for the diagnosis of PMDD and are found in about 70% of women with the disorder. However, studies are lacking that specifically address the effects of PMDD on quality of sleep. Aim: This study was designed to evaluate the prevalence of Premenstrual DysphoricDisorder (PMDD) and its impact on sleep quality in female university students. Methods: We developed an 18-item PMDD scale based on The Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR) to diagnose PMDD in female university studentswho ranged in age from 18 to 30 years and had regular menstrual cycles.Participants were categorized into a PMDD group or a No/PMDD group and sleep quality was compared between the two groups. The evaluation tool used to measure sleep quality was the Pittsburgh Sleep Quality Index (PSQI). Results: The prevalence of PMDD in female universitystudents was 25.5%. Analysis of the PSQI demonstrated that 80.5% of those in PMDD group had a PSQI that scored >5; however, only 56.4% in the No/ PMDD grouphad a PSQI that scored >5 (χ 2 =12.459, p<0.001). The mean PSQI score was 8.2(3.4) in the PMDD group and was 6.5(3.1) in the No/PMDD group (t=3.648, p<0.001). Conclusions: Female university students who experience PMDD are deeply affected by sleep problems. Lower sleep quality, daytime dysfunction, and sleep disturbance are common sleep problems among female university students with PMDD.

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