BackgroundNurses in intensive care units (ICU) are under a lot of stress because of special conditions caused by the work environment and the high level of knowledge and skills required to work in these units, which can lead to cognitive failures. This study aimed to investigate the relationship between occupational cognitive failures (OCF) and job content (JC) in nurses in the ICU of Ardabil hospitals in 2020.MethodsThe present study was a descriptive-analytical cross-sectional study that was conducted in 2020. The study population included nurses working in the ICU of hospitals in Ardabil, from which 267 people who were eligible to enter the study were selected. OCF and JC questionnaires were used to collect data. Data were analyzed using SPSS software 23.ResultsOCF with work records in the ICU, total work records, and work records in the COVID-19 and non-COVID-19 units are significantly associated. OCF was inversely related to the JC subscales of skill discretion and decision authority. And directly related to other subscales of JC.ConclusionsDevelop job ability, reduce repetitive tasks, create diversity in work, create opportunities for creativity, have the authority and freedom to make decisions, facilitate work with new technologies, have enough time to do work, have a friendly work environment with colleagues, support by the supervisor, improving posture, especially for the upper body, feeling job security can help to reduce the cognitive failure of nurses.

Various mechanical and geometrical parameters have different effects on the isolation system's performance. Thus, a sensitivity study of the isolated structures' behavior is an essential matter. In this regard, the isolation systems should be designed using optimization approaches to consider the effects of the different factors. In this study, the optimal design of the lead rubber bearing (LRB) seismic isolation was conducted by considering mass irregularity and near-fault seismic excitation effects. Also, sensitivity analysis of the behavior of the considered isolated buildings was implemented concerning the mechanical parameters of the LRB system. A nonlinear time history dynamic analysis was used here, and the design optimization of the LRB isolator was programmed using the newly introduced grasshopper optimization algorithm (GOA). The main purpose was to investigate the ability of the GOA to optimize the design parameters of the LRB-isolated frames. The results proved the desirable ability of the GOA to solve optimal design problems for isolation systems. Also, the sensitivity analysis of the seismic behavior of LRB base-isolated structures showed that the yield base shear index had the most important effects. Also, the mass irregularity parameter showed a negligible influence.

Seismic isolation is an efficient method for improving the seismic behaviour of building structures. Sensitivity analysis of the behaviour of the base-isolated structures is essential to investigate the effects of various mechanical and environmental factors on the performance of seismic isolation systems. In this study, the optimal design of a lead-rubber-bearing seismic isolation system is investigated by considering irregular mass condition, and near-fault seismic excitation. The grasshopper optimisation algorithm was used to optimise the design of the isolation system. The sensitivity analysis of the seismic response of the isolated structures was carried out for the mechanical parameters of the isolation system, mass irregularity in the building, and near-fault earthquakes. The results proved the efficiency of the algorithm in optimal design problems for structural isolation systems. Also, the sensitivity analysis of the seismic behaviour of base-isolated structures showed that the yield base shear index had the most important effects in analysis. Also, mass irregularity showed a negligible influence on the behaviour of the isolated structures.

Background: Catechol-O-methyltransferase (COMT) gene is one of the genes involved in estrogen metabolism, which plays a role in the detoxification of estrogen metabolites. Gene polymorphisms can affect the expression of the enzyme and contribute to the incidence of breast cancer. Objectives: Two functional polymorphisms, rs2020917 and rs2075507, were studied in the position of COMT gene promoter with the potential for breast cancer. Methods: In the present case-control study, 103 women suffering from breast cancer and 100 healthy women were selected within the same age range. After blood sampling, the DNA of samples was extracted by the saturated salt method. Then, the specimens were amplified with specific primer and determined by genotype RFLP-PCR method. Results: The two groups were similar in terms of age in the spectrum, but they had a significant difference in body mass index (BMI). GG mutant genotype of rs2075507 polymorphism indicated a statistically significant relationship between the two groups and increased the risk of breast cancer by 2.27%. The rs2020917 polymorphism showed no difference between the two groups, but it had a significant relationship with BMI. A combination of the genotypes showed that the individuals carrying GG/CC genotypes increased the risk of breast cancer in their body by a factor of 2.45. Conclusions:The results from two functional polymorphisms in the distal promoter of COMT gene indicated the relationship between rs2075507 and the risk of breast cancer, and rs2075507 mutant genotypes and wild rs2020917 genotype were highly susceptible to breast cancer. BMI was significantly different between the two groups and also with rs2020917 polymorphism. Further studies in this area will provide stronger results.

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