Meta-stable memory in an artificial immune network

Neal, M., Meta-stable memory in an artificial immune network, Proceedings of the 2nd International Conference on Artificial Immune Systems {ICARIS}, Springer, 168-180, 2003,LNCS 2787/2003

Augmenting an artificial immune network using ordering, self-recognition and histo-compatibility operators.

Timmis J Neal M J and Hunt J. Augmenting an artificial immune network using ordering, self-recognition and histo-compatibility operators. In Proceedings of IEEE international conference of systems, man and cybernetics, pages 3821-3826, San Diego, 1998. IEEE.

Idiotypic games within the immune network.

In this paper, we have considered the problem of selection of available repertoires. With Ab2 as immunogens, we have used the idiotypic cascade to explore potential repertoires. Our results suggest that potential idiotypic repertoires are more or less the same within a species or between different species. A given idiotype "à la Oudin" can become a recurrent one within the same outbred species or within different species. Similarly, an intrastrain crossreactive idiotype can be induced in other strains, even though there is a genetic disparity between these strains. The structural basis of this phenomenon has been explored. We next examined results showing the loss and gain of recurrent idiotypes without any intentional idiotypic manipulation. A recurrent idiotype can be lost in a syngeneic transfer and a private one can become recurrent by changing the genetic background. The change of available idiotypic repertoires at the B cell level has profound influences on the idiotypic repertoires of suppressor T cells. All these results imply that idiotypic games are played by the immune system itself, a strong suggestion that the immune system is a functional idiotypic network.

A Recommender System based on the Immune Network

Abstract-The immune system is a complex biological system with a highly distributed, adaptive and self-organising nature. This paper presents an artificial immune system (AIS) that exploits some of these characteristics and is applied to the task of film recommendation by collaborative filtering (CF). Natural evolution and in particular the immune system have not been designed for classical optimisation. However, for this problem, we are not interested in finding a single optimum. Rather we intend to identify a sub-set of good matches on which recommendations can be based. It is our hypothesis that an AIS built on two central aspects of the biological immune system will be an ideal candidate to achieve this: Antigen - antibody interaction for matching and antibody - antibody interaction for diversity. Computational results are presented in support of this conjecture and compared to those found by other CF techniques.

An Immune Network Intrusion Detection System Utilising Correlation Context

Network Intrusion Detection Systems (NIDS) are computer systems which monitor a network with the aim of discerning malicious from benign activity on that network. While a wide range of approaches have met varying levels of success, most IDSs rely on having access to a database of known attack signatures which are written by security experts. Nowadays, in order to solve problems with false positive alerts, correlation algorithms are used to add additional structure to sequences of IDS alerts. However, such techniques are of no help in discovering novel attacks or variations of known attacks, something the human immune system (HIS) is capable of doing in its own specialised domain. This paper presents a novel immune algorithm for application to the IDS problem. The goal is to discover packets containing novel variations of attacks covered by an existing signature base.

A Recommender System based on the Immune Network

Abstract-The immune system is a complex biological system with a highly distributed, adaptive and self-organising nature. This paper presents an artificial immune system (AIS) that exploits some of these characteristics and is applied to the task of film recommendation by collaborative filtering (CF). Natural evolution and in particular the immune system have not been designed for classical optimisation. However, for this problem, we are not interested in finding a single optimum. Rather we intend to identify a sub-set of good matches on which recommendations can be based. It is our hypothesis that an AIS built on two central aspects of the biological immune system will be an ideal candidate to achieve this: Antigen - antibody interaction for matching and antibody - antibody interaction for diversity. Computational results are presented in support of this conjecture and compared to those found by other CF techniques.

An idiotypic immune network as a short-term learning architecture for mobile robots

A combined Short-Term Learning (STL) and Long-Term Learning (LTL) approach to solving mobile robot navigation problems is presented and tested in both real and simulated environments. The LTL consists of rapid simulations that use a Genetic Algorithm to derive diverse sets of behaviours. These sets are then transferred to an idiotypic Artificial Immune System (AIS), which forms the STL phase, and the system is said to be seeded. The combined LTL-STL approach is compared with using STL only, and with using a handdesigned controller. In addition, the STL phase is tested when the idiotypic mechanism is turned off. The results provide substantial evidence that the best option is the seeded idiotypic system, i.e. the architecture that merges LTL with an idiotypic AIS for the STL. They also show that structurally different environments can be used for the two phases without compromising transferability.

An artificial immune system for data analysis

Timmis J and Neal M J. An artificial immune system for data analysis. In Proceedings of 3rd international workshop on information processing in cells and tissues (IPCAT), Indianapolis, U.S.A., 1999.

Artificial immune networks Copt-aiNet and Opt-aiNet applied to the reconfiguration problem of radial electrical distribution systems

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Immunotherapeutic efficacy of Mycobacterium indicus pranii in eliciting anti-tumor T cell responses: Critical roles of IFN gamma

Mycobacterium indicus pranii (MIP) is approved for use as an adjuvant (Immuvac/Cadi-05) in the treatment of leprosy. In addition, its efficacy is being investigated in clinical trials on patients with tuberculosis and different tumors. To evaluate and delineate the mechanisms by which autoclaved MIP enhances anti-tumor responses, the growth of solid tumors consisting of Sp2/0 (myeloma) and EL4 (thymoma) cells was studied in BALB/c and C57BL/6 mice, respectively. Treatment of mice with a single intra-dermal (i.d.) injection of MIP 3 days after Sp2/0 implantation greatly suppresses tumor growth. MIP treatment of tumor bearing mice lowers Interleukin (IL)6 but increases IL12p70 and IFN? amounts in sera. Also, increase in CD8+ T cell mediated lysis of specific tumor targets and production of high amounts of IL2 and IFN? by CD4+ T cells upon stimulation with specific tumor antigens in MIP treated mice is observed. Furthermore, MIP is also effective in reducing the growth of EL4 tumors; however, this efficacy is reduced in Ifn?-/- mice. In fact, several MIP mediated anti-tumor responses are greatly abrogated in Ifn?-/- mice: increase in serum Interleukin (IL)12p70 amounts, induction of IL2 and lysis of EL4 targets by splenocytes upon stimulation with specific tumor antigens. Interestingly, tumor-induced increase in serum IL12p70 and IFN? and reduction in growth of Sp2/0 and EL4 tumors by MIP are not observed in nonobese diabetic severe combined immunodeficiency mice. Overall, our study clearly demonstrates the importance of a functional immune network, in particular endogenous CD4+ and CD8+ T cells and IFN?, in mediating the anti-tumor responses by MIP.

Determinação de posicionamento de nós roteadores em redes sem fio utilizando redes imunológicas.

A tecnologia sem fio (wireless) vem tomando conta do mundo. A cada dia mais pessoas estão trocando seus equipamentos com fio por equipamentos com a tecnologia wireless. Isso vem crescendo, devido as suas vantagens, tais como: facilidade de instalação e manutenção, redução de tempo de instalação de dispositivos, inexistência de estrutura de cabeamento, economia no custo de projetos, economia em infraestrutura, flexibilidade de configuração de dispositivos, economia no custo de montagem, flexibilidade na alteração de arquiteturas existentes e outros. Por essas facilidades supracitadas a área de automação industrial está também aumentando o seu interesse nessa tecnologia wireless. Nessa área, a segurança, confiabilidade e robustez dos dados são de suma importância. Então, para minimizar os efeitos das interferências geradas nesse meio são usadas técnicas de espalhamento em frequência e topologia em malha ou árvore para transmissão dos dados enviados pelos sensores aos nós roteadores até chegar ao gateway. Sendo assim, o posicionamento dos nós roteadores na rede em malha garantirá a menor influência dessas interferências. Esse trabalho propõe uma ferramenta de posicionamento de nós roteadores intermediários, chamado POSIMNET (Positioning Immune Network Rede Imunológica de Posicionamento), que auxilia o projetista da rede de automação industrial a encontrar a melhor configuração da rede sem fio. O POSIMNET é baseado nas redes imunológicas artificiais, que propõe criar n caminhos quaisquer ou disjuntos para as informações enviadas pelos nós sensores chegarem ao gateway, através da supressão, clonagem e reconfiguração de nós roteadores intermediários. Além disso, o algoritmo também é capaz de atender os critérios de baixo grau de falha e baixo número de retransmissão pelos roteadores. Esses critérios podem ser habilitados individualmente ou combinados com pesos iguais ou diferentes para cada um, a critério do usuário. A ferramenta POSIMNET é formada por dois módulos: (i) Rede Imunológica agrega elementos de dois modelos de redes imunológicas (SSAIS e AiNet); (ii) Campos Potenciais - posiciona os nós roteadores pelos campos potenciais, onde os sensores críticos os atraem enquanto que os obstáculos e outros roteadores os repelem.

Prevalencia de síntomas de fatiga crónica / encefalomielitis miálgica (SFC/EM) y su relación con factores ocupacionales en trabajadores en una empresa de vigilancia en Bogotá, Colombia, 2016

Antecedentes: El síndrome de fatiga crónica/encefalomielitis miálgica (SFC/EM), un trastorno debilitante y complejo que se caracteriza por un cansancio intenso, ha sido estudiado en población general, sin embargo, su exploración en población trabajadora ha sido limitada. Objetivo: Determinar la prevalencia de síntomas asociados a SFC/EM y su relación con factores ocupacionales en personal de una empresa de vigilancia en Bogotá, durante el año 2016. Materiales y métodos: Estudio de corte transversal en una empresa de vigilancia, utilizando como instrumento para la recolección de datos la historia clínica-ocupacional. En las variables cualitativas se obtuvieron frecuencias simples y porcentajes y en las variables cuantitativas medidas de tendencia central y de dispersión. Se determinaron asociaciones entre variables (Ji-cuadrado de Pearson o test exacto de Fisher, valores esperados <5), (mann-whitney.y un modelo de regresión logística incondicional (p<0.05)). Resultados: Se evaluaron 162 trabajadores, los síntomas de SFC/EM con mayor prevalencia fueron sueño no reparador (38,3%) y dolor muscular (30,2%). Se encontró asociación estadísticamente significativa entre fatiga severa y crónica por al menos 6 meses con alteración en sistema nervioso (p=0,016) y consumo de medicamentos (p=0,043), así mismo entre el sueño no reparador con el número de horas de sueño de 5 a 7 horas (p=0,002). Conclusión: En los vigilantes el síntoma de SFC/EM más prevalente fue sueño no reparador y este se asoció con el número de horas de sueño de 5 a 7 horas. Con el estudio se pudieron determinar los casos probables de SFC/EM los cuales se beneficiarían de una valoración médica integral para un diagnóstico oportuno.

B cells as a critical node in the microbiota-host immune system network.

Mutualism with our intestinal microbiota is a prerequisite for healthy existence. This requires physical separation of the majority of the microbiota from the host (by secreted antimicrobials, mucus, and the intestinal epithelium) and active immune control of the low numbers of microbes that overcome these physical and chemical barriers, even in healthy individuals. In this review, we address how B-cell responses to members of the intestinal microbiota form a robust network with mucus, epithelial integrity, follicular helper T cells, innate immunity, and gut-associated lymphoid tissues to maintain host-microbiota mutualism.

An immune inspired Network Intrusion Detection System utilising correlation

Network Intrusion Detection Systems (NIDS) are computer systems which monitor a network with the aim of discerning malicious from benign activity on that network. While a wide range of approaches have met varying levels of success, most IDSs rely on having access to a database of known attack signatures which are written by security experts. Nowadays, in order to solve problems with false positive alerts, correlation algorithms are used to add additional structure to sequences of IDS alerts. However, such techniques are of no help in discovering novel attacks or variations of known attacks, something the human immune system (HIS) is capable of doing in its own specialised domain. This paper presents a novel immune algorithm for application to the IDS problem. The goal is to discover packets containing novel variations of attacks covered by an existing signature base.

Innate and adaptive immunity at mucosal surfaces of the female reproductive tract : stratification and integration of immune protection against the transmission of sexually transmitted infections

This review examines the multiple levels of pre-existing immunity in the upper and lower female reproductive tract. In addition, we highlight the need for further research of innate and adaptive immune protection of mucosal surfaces in the female reproductive tract. Innate mechanisms include the mucus lining, a tight epithelial barrier and the secretion of antimicrobial peptides and cytokines by epithelial and innate immune cells. Stimulation of the innate immune system also serves to bridge the adaptive arm resulting in the generation of pathogen-specific humoral and cell-mediated immunity. Less understood are the multiple components that act in a coordinated way to provide a network of ongoing protection. Innate and adaptive immunity in the human female reproductive tract are influenced by the stage of menstrual cycle and are directly regulated by the sex steroid hormones, progesterone and estradiol. Furthermore, the effect of hormones on immunity is mediated both directly on immune and epithelial cells and indirectly by stimulating growth factor secretion from stromal cells. The goal of this review is to focus on the diverse aspects of the innate and adaptive immune systems that contribute to a unique network of protection throughout the female reproductive tract.