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During those missions, astronauts will be exposed not only to external dangers such as solar radiation and micrometeorites but also to internal hazards such as bacterial infection.
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Internal hazard depends on many physical and biological factors.
This hazard can be quantified by the internal hazard index (Hin) (Nasim et al. [2012]; El-Arabi [2007]; Quindos et al. [1987]).
Also in this study we have calculated the radiation hazard indices (radium equivalent activity and internal hazard index) and Ingestion effective dose in all samples.
The radiation hazard indices (radium equivalent activity and internal hazard indices) were calculated for all samples in this study as shown in Table 3).The radium equivalent activity internal hazard indices were varied from (3.4031) to (35.1523) with an average (19.6347 ± 9.1680) and from (0.0091) to (0.1219) with an average (0.0708 ± 0.0341) respectively.
Also the radium equivalent activity and internal hazard indices values obtained when compared with the world permissible values were found to be below the standards limit which due to be radiologically hazard safe.
The values of all the radiation hazard indices in this study (radium equivalent activity and internal hazard indices are lowest value in sample (F8) Turkish Super and the highest value in sample (F2) Saudi Arabia Fine semolina.
Also, it is found that the of radium equivalent activity and internal hazard index in wheat flour samples ranged from (3.4031) Bq/kg to (35.1523) Bq/kg and from (0.0091) to (0.1219) respectively.
The internal hazard index should also be less than one to provide safe levels of radon and its short-lived daughters for the respiratory organs of individuals living in the dwellings.
This indicates that the internal hazard index in wheat flour samples were lower than the permissible limits of 1 recommended by UNSCEAR (UNSCEAR [2000]), while the radium equivalent activity also were lower than the maximum permissible level of 370 Bq/kg recommended by UNSCEAR (UNSCEAR [2000]).
To accomplish this task, this paper presents a Bayesian belief network (BBN -based proBBN -based internal corrosion hazard assessment aprobabilisticinternal pipelines.
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