Journal of Health Reports and Technology
Volume:4 Issue: 1, Jan 2018

The air quality and its impact on the environment, especially on human health, are considered as a significant issue of concern by major public and governmental organizations. Therefore, monitoring of air pollutants is necessary to design control plans. This study aimed to evaluate the criteria for pollutants in the ambient air of Babol city.
This descriptive and cross-sectional study was conducted on 136 samples obtained from 17 sampling stations during 2013, and the samples were collected using the respective devices on the site. The data were analyzed by ANOVA using Excel and SPSS software. Then, the results were compared with the national environmental protection agency (EPA) standards.
Among the samples obtained from 8 sampling stations, the maximum mean concentration of particulate matter (PM) was 0.0285 ± 0.007 μg/m3 in Shohada square, and the minimum was 0.024 ± 0.009 μg/m3 at the station at Mohammad Hassan Khan bridge; these are lower than the standard values. Also, the amount of carbon monoxide, nitrogen dioxide, and sulfur dioxide in all stations was zero, so the air quality index (AQI) was less than 50 in all cases.
The findings of this research show that the measured concentration of particles and other pollutants was less than the EPA and WHO standards; therefore, Babol has clean and healthy air.

The electrochemical degradation of a synthetic solution of malachite green (MG) was studied using electro-Fenton process (EFP) under batch conditions. The studies used iron electrodes to investigate the influence of operating parameters such as reaction temperature, distance between the electrodes, electrolysis time, and initial dye concentration. The values of 1 cm as distance between the electrodes and 50°C as temperature were found to be the optimum operating parameters for the efficient degradation of MG dye. When the temperature was greater than 50°C, H2O2 self-decomposed. After 30 minutes of electrolysis, TOC removal was only 76.5% when no H2O2 was added to the solutions (ECP), while the presence of H2O2 greatly improved TOC removal by more than 95%. For a solution of 1000 mg L-1 MG dye, degradation was complete after only 30 minutes. Furthermore, despite high removal efficiency of COD in EFP, energy consumption was less than in ECP.

Learning strategies are methods that students can use to guide their learning and thinking processes.
This study aimed to explore the relationship between resource management learning strategies and academic achievement in college students.
This cross-sectional descriptive study was conducted among 300 students in western Iran. Random sampling was used to select participants, and a self-reporting questionnaire was used to collect data. Data were analyzed with SPSS-21 software using t-test, Pearson correlation, ANOVA and linear regression at 95% significance level.
The mean age of respondents was 21.08 years [SD: 1.93], ranging from 18 to 29 years. We found significant correlation between mean overall score for learning resource management strategies and academic achievement of the students (r = 0.139 and P = 0.024). Linear regression analysis showed that resource management strategies accounted for 3% of the variation in academic achievement.
Based on our results, designing and implementing educational programs to promote resource management strategies for college students could have beneficial results in increasing academic achievement.

Faculty members are one of the important elements of the education system, and their work quality is affected by their job satisfaction more than anything else. The objective of the present study was to determine the job satisfaction among the faculty members of Kermanshah University of Medical Sciences and its relationship with some professional variables.
This descriptive, analytical study was conducted among 150 faculty members of Kermanshah University of Medical Sciences in 2016. The participants were selected using the simple random classification method with a probability proportional to the volume of each of the faculties. Data were collected using self-reported questionnaires. The data were analyzed using SPSS version 16 statistical software using Pearson correlation, two group independent t-test, and linear regression analysis.
The age domain of the faculty members was 26 to 60 years, with the mean age of 40.16 ± 8.12 years. The job history of the faculty members was in the range of 1 to 34 years, and its mean was 11.75 ± 9.53 years. The mean score for job satisfaction was 12.34 ± 2.32, and the participants achieved 82.2% of the maximum obtainable score for job satisfaction. Overall, the professional variables predicted 8% of the job satisfaction variance. Job history was the strongest factor for predicting job satisfaction.
Given the findings of the present study, it seems that more attention should be paid to the needs of the faculty members with shorter job history for designing interventions to promote job satisfaction.