Mood

The present study deals with imperative mood in Persian language based on prototype theory which is one of sub-theories of the cognitive linguistics approach. The research hypotheses are based on distinctions between the form and meaning components in the imperative mood and its distribution in the language corpus of contemporary literature. The aim of this paper is to describe and classify the criterion of the imperative mood in different language levels and beyond. According to the cognitive linguistics approach, language is part of a cognitive system and the syntactic structure of a language can't be studied separately, but all influential factors should be considered from different lingual aspects. The data analysis was carried out through descriptive and qualitative methods. It was found that the base of the verb has a high frequency in the corpus, but the form and meaning are different, with the meaning of imperative mood depending on the context. As a result, all language layers, forms and meanings in description and classification of the imperative mood should be taken into account to be analyzed cognitively.

Heart disease is stated as the world's biggest killer. The risk factors of this deadly disease are due to some bad habits such as being overweight, bad eating diet, smoking, assumption of alcohol, etc. Nevertheless, patients can live a healthy lifestyle if they have the proper guidance of persuasive-emotional featured technologies. In line with this, this study focuses on developing an emotional-persuasive habit-change support mobile application called BeHabit to improve heart disease patients’ lifestyles. Persuasive-emotional features are two different features that are integrated with BeHabit to distinguish this application from the existing ones. The proposed system is designed, implemented, tested, and evaluated by 10 users. In conclusion, the users are satisfied to used BeHabit to change their bad habits. Emotional and persuasive features that are integrated into BeHabit are the key to help patients to change their bad habits. BeHabit and the integrated feature can be used as a guideline for healthcare developers and providers for the improvement of mHealth services.

The present research aims to investigate the effect of massage on fatigue and mood in female rowers. Pre-test and post-test of quasi-experimental design with a control group was used for the experiment. Participants in the study were 30 female rowers from Tehran province who participated voluntarily. The volunteer sample was randomly assigned into two experimental and control groups (15 people in each group). Pre-test was carried out for both groups. The subjects in the experimental group then participated in 12 massage sessions under the supervision of a massage expert. Meanwhile, both groups also continued their normal rowing exercises. At the end of the intervention, post-test was carried out for both groups. Rating of perceived exertion and fatigue scale (Borg, 1982), mood questionnaire (Vaez Mousavi, 2007), and a researcher-made questionnaire were used to measure variables. Statistical analysis of variance with repeated measurements was used to test the hypotheses. The results suggested that perceived intensity and fatigue were significantly reduced in the massage group compared to the control group (P <0.05). Also, anger (P=0.002), confusion (P=0.02), depression (P=0.028), mood fatigue (P=0.015), and stress (P=0.039) significantly decreased in the massage group compared to the control group. Force increased significantly in the massage group compared to the control group (P=0.008). In general, the results showed that 12 massage sessions could be used to decrease fatigue and improve mood in female rowers.