توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱A comparison of sophisticated neural network and Finite Element Method in estimating of variations in permeability of earth–dam body in leakage phenomenon
اطلاعات انتشار: ششمین کنگره ملی مهندسی عمران، سال
تعداد صفحات: ۸
Leakage is one of the most important problems in earth dam construction. Lake of leakage phenomenon analysis for earth dams can lead to destructive problems like increase in leakage forces, increase in pore water pressure and instability of the earth dam. In this study, leakage in two sections of an earth dam are modeled and analyzed by Finite Element Method (FEM), Multilayer Pereceptron network (MLP) and Radial Basis Function network (RBF) and the results are compared. Based on the results, it can be concluded that FEM prediction are not compatible with actual data, whereas sophisticated neural network give acceptable results<\div>

۲AFLP reveals no sex–specific markers in Persian sturgeon (Acipenser persicus) or beluga sturgeon (Huso huso) from the southern Caspian Sea, Iran
اطلاعات انتشار: Progress in Biological Sciences، اول،شماره۱، ۲۰۱۱، سال
تعداد صفحات: ۷
The late sexual maturity in sturgeon and the absence of morphological differences between males and females makes sex discrimination difficult. Identification of sex at an early life stage is of high interest in caviar production because it allows efficient selection of females. In this study, the genome of 10 mature male and 10 mature female specimens of Persian sturgeon (Acipenser persicus) and beluga sturgeon (Huso huso) were screened using AFLP and 100 primer combinations. Results showed a total of 3771 and 3779 scoreable bands in A. persicus and H. huso, respectively. Approximately 30% of markers in A. persicus and 29.6% H. huso were polymorphic. No sex specific makers were identified. The results of the present study suggest that the sex chromosomes are not extensively differentiated in sturgeon species, or possibly the methods utilized were not sufficiently sensitive to recognize them.
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