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Background: The use of a cell phone when driving has been recognized as a type of distraction worldwide. Addictive tendency to use technology, including cell phone use while driving may be a substantial problem for drivers and increasing risk of accidents. The aim of this study was to evaluate the effect of drivers' addiction to use a cell phone while driving. Materials and Methods: A sample of 400 drivers with ages 18-65 years old completed a questionnaire which was designed based on Theory of Planned Behavior (TPB). Hierarchical regression analysis was utilized to predict drivers' addiction to use a cell phone while driving on demographic characteristics and TPB components. Results: Drivers had mean age of 35.63(8.72) and were 77% male, and 23% female. Tests of validity and reliability were conducted for every variable. According to findings, the hierarchical regression analysis model showed that the TPB was able to predict 59% variance in addiction toward cell phone use and attitude emerging as the strongest predictor during this analysis. All components of TPB were more independent to age than gender. Conclusion: The fundamental TPB components were directly associated with the addiction to use a cell phone when driving. The present study has identified that older drivers were considerably less probable to use a cell phone while driving. Also this study showed that males use a cell phone significantly more frequent. More practical road safety measures are required to rebuff and mitigate the effects of using cell phones while driving. [ABSTRACT FROM AUTHOR]

Defining the seed dormancy profile (SDP) of plant communities may provide insight into species adaptive mechanisms, community structure, and dynamics. Golestan National Park (GNP) in Iran consists of different types of vegetation, namely deciduous temperate forest, matorral, and steppe in close proximity but with variability of environmental factors. Plant species, life forms, and kinds of seed dormancy were determined in the three vegetation types, and a SDP of types was generated and compared with corresponding ones in the world database. In all GNP vegetation types, 80%–82% and 2%–3% of the species had dormant (D), and nondormant (ND) seeds, respectively, but in 17% the class of dormancy was unknown. Physiological dormancy (PD) was the most abundant followed by physical dormancy (PY). The species percentage with ND seeds in GNP was significantly two or three times lower than that in the world database. The PD percentage in the matorral was significantly higher than that in the world database. The PY percentage was higher in the forests but lower in the matorral and steppe compared with the world database. The morphophysiological (MPD) dormancy percentage was significantly lower in the forests but higher in the matorral and steppe than in the global database. Seed dormancy profiles were not affected by the proximity of vegetation types in the GNP, but they differed from those of the world database for each vegetation type. The past climatic fluctuations associated with the present‐day seasonality of the region might be the selective pressure for the increased percentage of species with D seeds in the GNP. [ABSTRACT FROM AUTHOR]