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Objectives
Aflatoxins as a highly toxic group of mycotoxins are present in the environment and foodstuff. These have been reported to cause serious health problems in humans. Since aflatoxin M1 (AFM1) is excreted into breast milk, investigating the exposure of infants to AFM1 is of special concern. Methods
In the present study, breast milk samples were collected from 85 lactating mothers in Ilam province, Iran, and the levels of AFM1 were analyzed using the enzyme-linked immunosorbent assay-based technique. AFM1 was detected in breast milk of all lactating women. The mean contamination level was 5.91 ± 2.031 ng/L, ranging from 2 ng/L to 10 ng/L. Results
Multiple regression analysis indicated no significant associations of consumption of milk and dairy products, meat, fish, legumes, grain products, fruits, and nuts with the concentration of AFM1 in breast milk. Furthermore, no significant association was observed between AFM1 concentration and anthropometric data of infants. Conclusion
In western parts of Iran, lactating mothers and their infants could be at risk of aflatoxin B1 and AFM1 exposure, respectively. Therefore, in Iran, the evaluation of AFM1 in human breast milk as a biomarker for postnatal exposure of infants to this carcinogen requires more attention in different regions and various seasons.
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Objectives
In this paper we present an age-structured epidemiological model for Chagas disease. This model includes the interactions between human and vector populations that transmit Chagas disease. Methods
The human population is divided into age groups since the proportion of infected individuals in this population changes with age as shown by real prevalence data. Moreover, the age-structured model allows more accurate information regarding the prevalence, which can help to design more specific control programs. We apply this proposed model to data from the country of Venezuela for two periods, 1961–1971, and 1961–1991 taking into account real demographic data for these periods. Results
Numerical computer simulations are presented to show the suitability of the age-structured model to explain the real data regarding prevalence of Chagas disease in each of the age groups. In addition, a numerical simulation varying the death rate of the vector is done to illustrate prevention and control strategies against Chagas disease. Conclusion
The proposed model can be used to determine the effect of control strategies in different age groups.
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Objectives
This study analyzes the influence of the financial structure of pharmaceutical companies on R&D investment to create a next-generation profit source or develop relatively cost-effective drugs to maximize enterprise value. Methods
The period of the empirical analysis is from 2000 to 2012. Financial statements and comments in general and internal transactions were extracted from TS-2000 of the Korea Listed Company Association (KLCA), and data related to stock price is extracted from KISVALUE-Ⅲ of NICE Information Service Co., Ltd. Stata 12.0 was used as the statistical package for panel analysis. Results
The current ratio had a positive influence on R&D investment, the debt ratio had a negative influence on R&D investment, and return on investment and net sales growth rate did not have a significant influence on R&D investment. Conclusion
It was found in this study that the higher liquidity ratio, the greater the R&D investment. The stability of pharmaceutical companies has a negative influence on R&D investment. This finding is consistent with the prediction that if a company faces a financial risk, it will be passive in R&D investment due to its financial difficulties.
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This paper provides information for decision making of the managers and the staff of national university hospitals. Methods
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