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Samsun, Turkey

Ondokuz Mayıs University is a major state university founded in 1975 in Samsun, Turkey. The university bears the name “19 May”, which marks the date when Mustafa Kemal Atatürk, founder of the Republic of Turkey, came to Samsun in order to start the War of Independence.OMU consists of 16 Faculties, 1 Conservatoire , 3 Schools , 11 Vocational Schools and 5 Institutes . Its 2,175-acre main campus is centred on Atakum municipality in Samsun.Based on University Ranking by Academic Performance data, OMU ranks 14th among Turkish universities with medical schools. Wikipedia.


Sisman A.,Ondokuz Mayis University
Journal of Epidemiology | Year: 2013

Background: Crimean-Congo hemorrhagic fever (CCHF) is a tick-borne infectious disease that has a considerable mortality risk and is a challenge for the population of endemic rural areas and health care workers. This study investigated the epidemiologic features and main risk factors of CCHF in Samsun Province, Turkey, using CCHF cases diagnosed from 2007 to 2011 recorded by the Samsun Provincial Health Directorate. Methods: In the study area, 126 cases were evaluated statistically and spatially. Minitab 16 software was used for statistical analysis of the data, and ArcGIS 9.3 software was used for spatial analysis. Results: Among those who received a diagnosis of CCHF, 69 (54.7%) were male, 57 (45.3%) were female, 114 (90.5%) were discharged, and 12 (9.5%) died. A total of 112 of the 126 (88.9%) cases occurred at an altitude higher than 600 m. In addition, 84.1% of cases were reported during May through July, which are the busiest months for those working in the agriculture and animal husbandry sectors. Conclusions: CCHF causes severe disease and has a high mortality rate (about 10% in Turkey). Early diagnosis of CCHF can be improved by periodic education of people at high risk, ie, men and women working in agriculture and animal husbandry in rural areas and those working in health care.© 2012 by the Japan Epidemiological Association.


Sunbul M.,Ondokuz Mayis University
World Journal of Gastroenterology | Year: 2014

At least 600000 individuals worldwide annually die of hepatitis B virus (HBV)-related diseases, such as chronic hepatitis B (CHB), liver cirrhosis (LC), and hepatocellular carcinoma (HCC). Many viral factors, such as viral load, genotype, and specific viral mutations, are known to affect disease progression. HBV reverse transcriptase does not have a proofreading function, therefore, many HBV genotypes, sub-genotypes, mutants, and recombinants emerge. Differences between genotypes in response to antiviral treatment have been determined. To date, 10 HBV genotypes, scattered across different geographical regions, have been identified. For example, genotype A has a tendency for chronicity, whereas viral mutations are frequently encountered in genotype C. Both chronicity and mutation frequency are common in genotype D. LC and progression to HCC are more commonly encountered with genotypes C and D than the other genotypes. Pathogenic differences between HBV genotypes explain disease intensity, progression to LC, and HCC. In conclusion, genotype determination in CHB infection is important in estimating disease progression and planning optimal antiviral treatment. © 2014 Baishideng Publishing Group Co., Limited. All rights reserved.


Groundwater salinity contributes significantly to soil salinization in irrigated areas. In this study, spatial and temporal analyses of groundwater salinity were performed based on data from 97 wells monitored over a 7-year period. ArcGIS Geostatistical Analyst was used in exploratory data analysis, semivariogram model selection, cross-validation and development of a groundwater salinity distribution pattern. Groundwater salinity semivariogram models varied by year and included exponential (2004, 2009), spherical (2005), J-Bessel (2006) and rational (2007, 2008, 2010) models. Ordinary Kriging (OK) was used to analyze spatial variability of groundwater salinity, whereas Indicator Kriging (IK) was used to analyze groundwater salinity in relation to pollution threshold values.Spatial variability maps show a decrease in groundwater salinity from 2004 to 2010, with salinity levels in 31% of the study area exceeding 5.0dSm -1 in 2004, compared to 9% of the study area in 2010. Moreover, probability maps show that 13.60% of the total area had the highest probability (0.8-1.0) of exceeding the threshold in 2004, compared to 0% in 2010. © 2012 Elsevier B.V.


Multivariate statistical techniques such as cluster analysis and principal component analysis were performed on 28 groundwater wells in Bafra Plain. Cluster analysis results show that the groundwater in the study area is classified into three groups (A, B, and C), and factor analysis indicates that groundwater is composed of 89.64 % of total variance of 12 variables and is mainly affected by three factors. Factor 1 (seawater salinization) includes concentrations of electrical conductivity, TDS, Cl-, Na+, and sodium adsorption ratio, factor 2 (mixing water) includes δ18O, δD, and T, and factor 3 (fresh) includes Ca 2+. For determination of the source of water, Ca/Cl, Cl/HCO 3, Mg/Cl, and Ca/Na as initials and Mg/Ca and SO4/Cl as molar rates which were identified, the rates had been found to be very useful. Cluster analysis was made by using these rates and the waters were classified in two groups (group 1 and group 2). First group waters were affected by seawater, and the second group were very less affected by freshwater or seawater. According to the comparison of two different parameters, group 1 comprised group A and group B-2, -3, and -4 from the same wells, and group 2 comprised group B-1 and group C from the same well. As a result of this study, it could be said that multivariate statistical methods gave very useful results for the determination of the source. © 2012 Springer Science+Business Media B.V.


Celikler D.,Ondokuz Mayis University
Renewable Energy | Year: 2013

Limited world fossil fuel reserves and the expectation that these reserves will soon be depleted, place increased importance on renewable energy resources. Therefore, it is highly critical to educate pre-service teachers, who will be bringing up future generations of school children, about renewable energy and resources. To that end, a 39 point questionnaire developed by Morgil etal. [1] have been applied to a total of 240 pre-service teachers (60 pre-service teachers each in first, second, third and fourth years) majoring in Elementary Science Teaching at a university in the Black Sea Region of Turkey, and their awareness of renewable energy topics were determined. The study has concluded that while no gender-based meaningful differences exist with respect to the awareness of pre-service teachers for renewable energy [t(238)=0.789, p>05], there are differences based on year-of-study [F(3,236)=16.376, p<.05]. An analysis based on pre-service teachers' years of study has resulted in statistically meaningful (p<.05) differences being found, with respect to awareness for renewable energy, upon comparing third year students with first (p=.000), second (p=.000) and fourth (p=.015) year students, and upon comparing fourth year students with first year students (p=.002). © 2013 Elsevier Ltd.

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