background: occupational exposure to cotton dust, fibers, metal fumes and different chemicals used in the apparel manufacturing industries cause a wide range of physical and psychological health problems in the garment workers that may also affect their immune function. objective: to assess the immune system function in garment workers. methods: a total of 45 workers of a garment factory, and 4...

background : pain is one of the main protests of inflammatory diseases, hence, understanding the mechanisms which involved in the induction and persistence of pain is essential. microglia is a contributing factor in the onset and maintenance of inflammation. increased microglial   activation increases the level of central pro-inflammatory cytokines and the development of central sensitization f...

ae is a serious medical condition in which the immune system attacks the brain, impairing function. with rapid diagnosis and appropriate treatment, many patients recover most or all functions. however, not all patients experience full recovery; with approximately 6% mortality and other patients who never regain significant brain and/or bodily functions. autoimmune encephalitis can produce a wid...

The study of Artificial Immune Systems (AIS) includes the development of computational abstractions of the natural immune system. The most intuitive application of these methods is the virus and in general the intrusion detection of a single system or network. But with the growing amount of data, global interconnectivity and communication also other fields of application for Artificial Immune S...

In this paper, we present an accurate and realtime PE-Miner framework that automatically extracts distinguishing features from portable executables (PE) to detect zero-day malware without any a priori knowledge about them. The distinguishing features are extracted using the structural information standardized by the Microsoft Windows operating system for executables, DLLs and object files. We f...

Computer security is an issue that will always be under investigation as intruders never stop to find ways to access data and network resources. Researches try to find functions and approaches that would increase chances to detect attacks and at the same time would be less expensive, regarding time and space. In this paper, an approach is applied to detect anomalous activity in the network, usi...

Today traditional intrusion detection systems are unable to detect intrusion attacks. Huge number of false alarm generated by the system results in financial loss of an organization. The unique features of artificial immune system encourage and motivate the researchers to employ this technique in variety of applications and especially in intrusion detection systems. Recently Artificial immune s...