Volume 5, Issue 2 (Spring 2019)
Abstract
Aims: Hepatitis B Virus (HBV) has infected more than million hundreds of people worldwide. Hence, a high rate of morbidity and mortality caused by liver-related diseases is due to HBV infection. However, a strong and effective treatment should be based on an accurate and correct diagnostic method. Hence, the present research provided a multidimensional study comparing and analyzing patients’ molecular and serological tests results.
Materials & Methods: In this research, the HBV DNA molecular tests results were studied by examining patients’ gender, age, and HBsAg strip results.
Findings: Among the female patients (29 persons) studied in this research, 55.1% were positive for HBV DNA and HBsAg strip tests, and 17.3% were negative for both tests. Also, among the male patients (44 persons), 65.9% were positive, and 6.8% were negative for both tests.
Conclusion: The present study results shed light on the correlation between the HBV DNA and HBsAg tests. Also, the significance of HBV DNA tests was highlighted for particular diagnostic purposes and for the differentiation and interpretation of the pathophysiological conditions of patients with hepatitis B.
Nemat Mahmoudi, Manoochehr Babanezhad, Jafar Seyfabadi, Mohammadreza Ahmadi, Jamshid Darzi Heydari, Nahid papizadeh, Aboulghasem Roohi, Mostafa Armandeh,
Volume 8, Issue 3 (Summer 2019)
Abstract
Aims: This research aimed to evaluate the spatial patterns of water quality and its controlling factors in the Mazandaran coastal ecosystem during winter using the multivariate analysis methods.
Materials and methods: Water quality parameters such as nutrients, temperature, conductivity, salinity, DO, pH, chlorophyll-a and turbidity were measured monthly in 16 stations (44 layers) along 4 transects (Amirabad, Babolsar, Noushahr and Ramsar). To evaluate the data, several multivariate statistical methods were used including discriminant function analysis, cluster and factor analysis as well as correlation test.
Findings: Results of cluster analysis showed that the sampling sites (44 layers) were classified into 4 groups. Based on discriminant analysis, 93.20% of the sampling sites correctly classified. Factor analysis extracted 4 principal components that explained 74.05% of the total variance. Based on these analyses, organic phosphorus, organic nitrogen, turbidity, chlorophyll-a and temperature were the most effective parameters on the spatial variation of water quality.
Conclusion: This study suggested that the number of sampling locations could be reduced to 3 transects including Amirabad, Babolsar and west coasts (Noushahr and Ramsar) and 2 stations (one surface layer and one deep layer). Transport of nutrients from land, sea floor and fish cage culture were the most effective factors on spatial patterns of water quality in Mazandaran coasts. Based on the results, multivariate statistical methods are also introduced as one of the useful methods for identifying the spatial pattern of water quality.
