We report the complete genome sequence of two Pseudomonas aeruginosa phages MP29 and MP42. Their genomes are similar to those of P. aeruginosa temperate phages DMS3 and MP22, whose lysogens are impaired in swarming motilities, involving the host CRISPR loci. Both MP29 and MP42 lysogens, however, were proficient in swarming, suggesting the absence of the phage-host CRISPR interaction.

Understanding the relationship between phylogeny and predicted traits is important to uncover the dimension of the predictive power of a microbial composition approach. Numerous works have addressed the taxonomic composition of bacteria in communities, but little is known about trait heterogeneity in closely related bacteria that co-occur in communities. We evaluated a sample of 467 isolates fr...

In recent years, Particle Swarm Optimization has evolved as an effective global optimization algorithm whose dynamics has been inspired from swarming or collaborative behavior of biological populations. In this paper, PSO has been applied to Triple Link Inverted Pendulum model to find its reduced order model by minimization of error between the step responses of higher and reduced order model. ...

This paper presents in-formation flocking, a novel information visualization technique that extends the original information flocking concept with dynamic and data-driven visual formation behavior generation. This approach extends the emergent swarming properties of a decentralized multiagent system in order to represent complex time-varying datasets through visually-recognizable formations and...

A computational method that automatically builds dynamical models of swarming systems from positional data is introduced. As an initial test for the approach, the classical Vicsek model is used to make samples for the computer algorithm and retrieve a model. Time dependent separation measures are introduced in order to characterize the dynamics of a system and then compare the behaviors of the ...

Many models of crowd behavior are based on local interactions between pedestrians, but little is known about the actual mechanisms governing these interactions. In Experiments 1 and 2, a participant walked with three human ‘confederates’ or a virtual crowd of 30, while the heading direction or speed of a subset of neighbors was manipulated. In Experiment 3, real crowds of 16 or 20 walked togeth...

Mutative Particle Swarm Optimization (MPSO) is swarm-based stochastic optimization algorithm combined with the mutative function inspired by Genetic Algorithm (GA). The algorithm searches for the solution by combining swarming behavior, as well as mutation of the particles to accelerate the search process. This paper presents a modification to the MPSO algorithm for it to solve Integer Programm...