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Background: Today, due to ever-expanding of using electronic systems and electromagnetic fields in the living environment and it can be used in treatment of some neurological disorders. The aim of this study was to investigate the effects of electromagnetic waves on cord blood stem cells.
Materials and methods: The newborn's umbilical cord was transferred to a cell culture laboratory under sterile conditions. Then, using hyaluronidase, trypsin and collagenase enzymes, the cells were separated and cultured. For purification and removal of additional cells, the flasks were passaged three times. Then, flasks were incubated in the incubator with electromagnetic waves at a frequency of 50 Hz and intensity 0.25, 0.5, and 1 millitesla, two hours per day for a consecutive 14 days. Then, neuronal specific antibodies and MTT assay were tested for neuronal proliferation and differentiation of the cells.
Results: The results showed that the intensity of 0.5 and 1 significantly decreased the number of cells, but in the 0.25 millitesla, there was no significant decrease in the number of cells in comparison with the control group. In addition, differentiation was observed only in 0.25 and 0.5 millitesla groups, but not in group 1 millitesla.
Conclusion: The results of this study indicate that electromagnetic waves can differentiate and expand the umbilical mesenchymal stem cells.

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Background and aims: Covid-19 has the potential to trigger heightened health anxiety and concerns about health repercussions. This study aimed to investigate the prevalence of illness anxiety disorder among individuals who have recovered from Covid-19 following hospitalization.
Methods: This cross-sectional descriptive study targeted individuals who had previously been hospitalized for Covid-19 at Shohada Hospital in Sarpol-e-Zahab city, with a minimum of six months elapsed since discharge. A total of 479 participants were randomly selected from the hospital's records and assessed face-to-face for levels of health anxiety and the presence of illness anxiety disorder using the short health anxiety inventory. Socio-economic status was determined using the Ghodrat-Nama’s  questionnaire. Data analysis was conducted using Chi-square test, one-way ANOVA, and Tukey test.
Results: The study revealed that 50.93% of participants exhibited moderate to high levels of health anxiety, while the prevalence of illness anxiety disorder among all participants was 23.38%. Significant associations were found between illness anxiety disorder and gender, age, education level, marital status, and socio-economic status.
Conclusion: The findings indicate a high prevalence of illness anxiety disorder among individuals who have recovered from Covid-19 following hospitalization. Moreover, the prevalence of illness anxiety disorder was found to vary across different socio-economic statuses.

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Background and aims: The consequences of medical errors can be severe, with even seemingly simple mistakes potentially leading to extended hospital stays, health complications, disability, or even death for one or more individuals. Consequently, this review study was conducted to elucidate the dimensions and components influencing the prediction and reduction of human error, utilizing the systematic human error prediction approach (SHERPA).
Methods: This review study involved an electronic search for relevant scientific documents in both Persian and English, using keywords such as "SHERPA technique," "human error prediction," and "human errors in hospitals." A total of six studies were ultimately reviewed.
Results: The results indicated that most errors in healthcare settings were related to the type of “action”, while the fewest errors occurred in the category of “selection”. In assessing risk severity across all studies, errors categorized as having unacceptable risk levels were the least frequent, whereas those with undesirable risk severity were the most common.
Conclusion: The SHERPA technique is an effective method for identifying human errors in the medical field, as it accurately determines the causes, consequences, and risk levels associated with potential errors. Given that performance errors accounted for the highest portion of incidents and had the greatest prevalence of both unacceptable and undesirable risk, prioritizing these errors in the development of control programs is essential.