Immune system.

By M. Eaman. Nursing Standard, 2000

2,290 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/c09fa8dc284979d6bc98b7427e2aa6334ecc8c67

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Citations in the corpus

A distribution network expansion planning model considering distributed generation options and techo-economical issues (2010, methodology): “Stage I: Finding the Pareto optimal front using hybrid Immune-GA method The Immune Algorithm (IA), first introduced in [26], is inspired by the immune system of human body.”
A survey on optimization metaheuristics (2013, background): “It has powerful learning and memory capabilities and presents an evolutionary type of response to infectious foreign elements [83].”
Clonal Selection Algorithm for Design of Reconfigurable Antenna Array with Discrete Phase Shifters (2007, background): “The clonal selection principle [10, 11] explains how an immune response is mounted when an antigenic pattern is recognized by the B-cells.”
Understanding the Effects of Sublethal Pesticide Exposure on Honey Bees: A Role for Probiotics as Mediators of Environmental Stress (2020, background): “In particular, constituents of the gut microbiota can activate the humoral immune system to produce AMPs, that are critical to combating pathogens (Kwong et al., 2017; Li et al., 2017).”
Teaching-Learning-Based Optimization: An optimization method for continuous non-linear large scale problems (2012, unknown): “Some of the well known meta-heuristics developed during the last three decades are: Genetic Algorithm (GA) [12] which works on the principle of the Darwinian theory of the survival of the fittest and the theory of evolution of the living beings; Artificial Immune Algorithm (AIA) [9] which works on t”
Pharmacokinetics and Pharmacodynamics of Cannabinoids (2003, background): “[217,218] It is not clear whether and to what extent these effects are of clinical relevance in humans with respect to beneficial (inflammation,[219,220] allergies, autoimmune processes[218]) and undesirable (decreased resistance towards pathogens and carcinogens) effects.[217]”
Unraveling V(D)J Recombination: Insights into Gene Regulation (2004, unknown): “Recent work also has recapitulated low by RAG-generated DSBs in a manner analogous to those found in NHEJ/p53 pro-B lymphomas (Bassing et al.,efficiency RS, but not coding, joining in yeast (Clatworthy et al., 2003).”
Theoretical advances in artificial immune systems (2008, methodology): “The first paper to propose a link between immunology and computing was [15] which described the parallels between a network of immune cells and the Holland classifier system [19].”
GSA: A Gravitational Search Algorithm (2009, methodology): “Genetic Algorithm, GA, are inspired from Darwinian evolutionary theory [32], Simulated Annealing, SA, is designed by use of thermodynamic effects [21], Artificial Immune Systems, AIS, simulate biological immune systems [8], Ant Colony Optimization, ACO, mimics the behavior of ants foraging for food ”
A hybrid genetic algorithm and bacterial foraging approach for global optimization (2007, background): “Natural selection tends to eliminate animals with poor foraging strategies through methods for locating, handling, and ingesting food and favors the propagation of genes of those animals that have successful foraging strategies, since they are more likely to obtain reproductive success [36,37,12,35]”
Application Areas of AIS: The Past, The Present and The Future (2005, background): “[29], which themselves have foundations in dynamical systems, adopting”
Artificial Immune Systems (2009, unknown): “During the early years of AIS, researchers recognised that, in addition to the T-cell inspiration employed by Forrest et al. [32], basic models of B-cells and their corresponding antibodies could act as a good underlying metaphor.”