introduction: studies have shown that insufficient recovery between sessions causes immune suppression. the aim of this study was to investigate the effect of repeated bouts resistance and endurance exercise on blood leukocytes, lymphocytes, neutrophils, monocytes count and plasma cortisol levels in athlete girls. materials and methods: 9 athlete girls (ages, 20-25 years), participated in the s...

The immune system provides a rich metaphor for computer security: anomaly detection that works in nature should work for machines. However, early artificial immune system approaches for computer security had only limited success. Arguably, this was due to these artificial systems being based on too simplistic a view of the immune system. We present here a second generation artificial immune sys...

Inspired by the natural immune system, the artificial immune system has been attracting more and more attentions. In our previous works, an artificial immune network (AIN) based on the immune principles and a lateral interaction artificial immune network (LAIN) which considers the relationship between different antibodies were proposed. However, there are still some problems such as input and m...

– Networked computing resources can be harnessed to provide medium and large–scale computational services. Most systems to harness such resources rely on allocation heuristics and policies to perform the mapping of tasks onto hosts. Such heuristics are typically statically designed and typically only the parameters that govern the heuristic can be adapted over time. This paper describes a novel...

This work deals the application of the artificial immune system to discriminate between healthy and people with Parkinson’s disease (PWP). As the symptoms of Parkinson’s disease (PD) occur gradually and mostly targeting the elderly people for whom physical visits to the clinic are inconvenient and costly, telemonitoring of the disease using measurements of dysphonia (vocal features) has a vital...

We present a simplified view of those parts of the human immune system which can be used to provide the basis for a data analysis tool. The motivation for and reasoning behind such a model is given and the desire for a 'transparent' model and meaningful visualization and interpretation techniques is noted. A minimalist formulation of an artificial immune system and some of its behaviour is desc...

Through time, many software engineering fundamentals change such as programming languages, paradigms and development teams. These changes affect test suites; if these suites do not evolve, they will wear out. Mutation testing is a computationally expensive, fault-based testing method. By using high quality test data however, only a minimal number of mutations are required, allowing changes in t...

absTracT Many immue-inspired algorithms are based on the abstractions of one or several immunology theories, such as clonal selection, negative selection, positive selection, rather than the whole process of immune response to solve computational problems. In order to build a general computational framework by simulating immune response process, this chapter introduces a population-based artifi...

This paper proposes an affinity based complex artificial immune system considering the fact that the different eptitopes located on the surface of antigen can be recognized by a set of different paratopes expressed on the surface of immune cells. A neighborhood set consisting of immune cells with different affinities to a certain input antigen is built to simulate the nature immune behavior. Fu...

The Biological Immune System is a remarkable information processing and self-learning system that offers stimulation to build Artificial Immune System (AIS).During the last two decades, the field of AIS is progressing slowly and steadily as a branch of Computational Intelligence (CI). At present the AIS algorithms such as Negative Selection Theory, Clonal Selection Theory, Immune Networks Theor...