the pollutants due to effect on the immune system of fish increase fish sensitivity to pathogens. diazinon is one of the most used organophosphates pesticide in many agricultural areas. this study aimed to evaluate the effect of diazinon on the immune system of rainbow trout ( oncorhynchus mykiss ) and application of milk thistle plant, vitis vinifera extract to reduce the adverse effects of th...

concerns have been raised about the adverse impact of dusty air pollution (dap) on human health. the aim of this study was to find the association between dusty air pollution based on air quality index (aqi) and the risk of allergic diseases in southwestern provinces of iran, with assessing cytokine profiles and lymphocyte immunophenotypes.in this case control study 148 individuals participated...

celiac disease (cd) is now considered a multiple and systemic immune-mediate disorder triggered by the ingestion of wheat gluten and related proteins. following the discovery of a link between gluten and cd, it was demonstrated that gliadin, one of the two principal protein groups comprising gluten, plays a key role in cd. it has since become clear that the different and crucial roles of gliadi...

We present a framework which integrates artificial neural networks, artificial immune systems and a novel artificial endocrine system. The natural counterparts of these three components are usually assumed to be the principal actors in maintaining homeostasis within biological systems. This paper proposes a system which promises to capitalise on the self-organizing properties of these artificia...

This paper explores Time Dependent Optimization (Tdo) as a measure of adaptiveness in artificial systems. We first discuss this choice and review classical Tdo models to propose a canonic benchmark. Then, we underline the central role of diversity in adaptive dynamics for biological and cybernetic systems and illustrate by a state of the art of evolutionary Tdo (Etdo). A Simple Artificial Immun...

In this paper, some initial investigations are conducted to apply Artificial immune system(AIS) for classification of remotely sensed images. As a novel branch of computational intelligence, AIS has strong capabilities of pattern recognition, learning and associative memory, hence it is natural to view AIS as a powerful information processing and problem-solving paradigm in both the scientific ...

This thesis proposes a bio-inspired computational framework, the Neuro-Immune Network reGulating (NING) framework. In higher vertebrates, the immune system and the nervous system, corporately, maintain a level of internal stable state of the hosts. This internal stable states is known as homeostasis. Similarly, an artificial homeostasis is targeted in this NING framework. There are two networks...

In this paper, we discuss the design and engineering of a biologicallyinspired, host-based intrusion detection system to protect computer networks. To this end, we have implemented an Artificial Immune System (AIS) that mimics the behavior of the biological adaptive immune system. The proposed AIS, consists of a number of running artificial white blood cells, which search, recognize, store and ...

The Short Message Service (SMS) have an important economic impact for end users and service providers. Spam is a serious universal problem that causes problems for almost all users. Several studies have been presented, including implementations of spam filters that prevent spam from reaching their destination. Naïve Bayesian algorithm is one of the most effective approaches used in filtering te...