Introduction: Given the importance of adapting workers' physical and mental capabilities to their job needs, measuring their ability to work, maintaining, and upgrading, it has become an essential task. This study aimed to investigate WAI and its relationship with VO2max at one of the cement companies. Materials and Methods: This cross-sectional study was conducted among 130 employees of a cement company in Iran in 2018. For data collection, the WAI, Queens's test for maximum oxygen consumption, and a questionnaire designed by researchers (socio-demographic and work-related factors) were used. SPSS 21 was used to analyze the data.  Results: The results showed that the mean ± standard deviation of WAI in staff was 39.35 ± 4.64. Among the demographic and related variables, sports activity (P > 0.04) and sleep quality (P < 0.001), and work experience (P> 0.046) were significantly correlated with WAI. There was a significant positive correlation between the mean score of WAI and Vo2max (r = 0.21, p < 0.05). Regression modeling showed that Vo2max was the only significant predictor of WAI. Conclusion: According to the results of the study, to control and enhance the ability of the staff of the study, occupational intervention programs should focus on improving sleep quality and increased exercise. Also, considering the positive relationship of Vo2max to the WAI of the surveyed staff, it is recommended to select suitable employees in terms of aerobic capacity according to the workload of the job.

Graphene oxide coated wad as a new sorbent in fixed bed column for the removal of crystal violet from contaminated water AbstractAn efficient method was developed to fabricate graphene oxide coated cotton wad (GO/W) using self-assembly technique. GO/W could be used as an adsorbent material in remediation of environmental pollutants in a continuous packed bed column. 6 7 T The efficiency6 7 T 6 7 T of GO/W fixed bed column in removal of6 7 T crystal violet from aquatic environment 6 7 T was studied. 6 7 T The experimental breakthrough data were modeled using Thomas, Adams-Bohart and Yoon-Nelson models, and the column parameters for all these models were calculated. Increasing the effluent discharge rate and initial adsorbate concentration make the breakthrough and saturation points to be obtained faster and hence lower the adsorption capacity of column.