Prevalence of endo-parasites of common tree frog (Rana Saharica) from Misurata, Libya

The current study was conducted to detect the prevalence of parasitic infection among (62) common tree frogs (Rana Saharica), of different ages, with weights ranged between 1 and 25g. Results: The results revealed that 61 (98%) out of 62 examined common frogs were infected with endo-parasites. The prevalence of infection with protozoal was (86.4%) and (80%) for helminthes, while the mixed infection with both was 65%. Furthermore, the nematodes (75.5%) were the most prevalent helminthes, also helminthes mixed infection in a single host was reported. Rhabiditis spp., Ophiotaenia ranae, Glypthelmins quieta, Corynosoma spp. were Recovered from the digestive tract of common tree frogs, whereas, the Oplina ranarum and Copromonas subtillis the most prevalent protozoan species were detected from the common frogs. From the parasitic fauna seen in this study and from the statistical analysis, there were significant differences (P=0.05) between the weight of hosts and the density of infection

A Database and Evaluation for Classification of RNA Molecules Using Graph Methods

In this paper, we introduce a new graph dataset based on the representation of RNA. The RNA dataset includes 3178 RNA chains which are labelled in 8 classes according to their reported biological functions. The goal of this database is to provide a platform for investigating the classication of RNA using graph-based methods. The molecules are represented by graphs representing the sequence and base-pairs of the RNA, with a number of labelling schemes using base labels and local shape. We report the results of a number of state-of-the-art graph based methods on this dataset as a baseline comparison and investigate how these methods can be used to categorise RNA molecules on their type and functions. The methods applied are Weisfeiler Lehman and optimal assignment kernels, shortest paths kernel and the all paths and cycle methods. We also compare to the standard Needleman-Wunsch algorithm used in bioinformatics for DNA and RNA comparison, and demonstrate the superiority of graph kernels even on a string representation. The highest classication rate is obtained by the WL-OA algorithm using base labels and base-pair connections

Prevalence of HBV, HCV and HIV in Tripoli.

<p>n = 7500 males and 1670 females. * Statistically significant at <i>P</i> = 0.001</p

Prevalence of hepatitis B, C and HIV infections by age, Tripoli -Libya 2011.

<p>Prevalence of hepatitis B, C and HIV infections by age, Tripoli -Libya 2011.</p

Association between HBV,HCV and HIV infections and certain influencing variables among Tripoli population.

<p>Association between HBV,HCV and HIV infections and certain influencing variables among Tripoli population.</p