The cosmopolitan oligochaete worm, Nais elinguis, is common to fresh and brackish water habitats. This species was found while investigating the limnology of two rivers alongside the Iranian coasts and has not been reported in the Iranian freshwater fauna and Caspian Sea before. N. elinguis was collected bimonthly from Cheshmehkileh and Sardabrood estuaries using a Van Veen grab (0.03 m2) and S...

background: gnathostoma spinigerum causes larva migran in human which is endemic in southeast asia. information regarding larva migration is limited. in this study, we investigated the parasite migra­tion by recovery of worms from the whole body of mouse after oral infection with advanced third stage larvae (al3). the percentage of blood eosinophils was examined in parallel. methods: mice were ...

An encounter-based network is a frequently-disconnected wireless ad-hoc network requiring immediate neighbors to store and forward aggregated data for information disseminations. Using traditional approaches such as gateways or firewalls to deter worm propagation in encounter-based networks is inappropriate. We propose a worm interaction approach that relies upon automated beneficial worm gener...

Active worms major security threats to the Internet. This is due to the ability of active worms to propagate in an automated fashion as they continuously compromise computers on the Internet. Active worms evolve during their propagation, and thus, pose great challenges to defend against them. In this paper, we investigate a new class of active worms, referred to as Camouflaging Worm (C-Worm in ...

In this study, the effect of brown seaweed (Cystoseira barbata) and cattle manure combinations were investigated as a worm food on properties Eisenia fetida manure. Seaweed Cystoseira barbata collected from coast Giresun, desalted dried then ground. Cattle was obtained breeding dairy had covered fermented. Food groups; 0% (control group); 5.45%; 10.90%; 21.81% 43.63% algae prepared containing t...

This work applies data mining techniques to detect e-mail worms. E-mail messages contain a number of different features such as the total number of words in message body/subject, presence/absence of binary attachments, type of attachments, and so on. The goal is to obtain an efficient classification model based on these features. The solution consists of several steps. First, the number of feat...