We explore the behavior of an integrodifferential equation used to model one-dimensional biological swarms. In this model, we assume the motion of the swarm is determined by pairwise interactions, which in a continuous setting corresponds to a convolution of the swarm density with a pairwise interaction kernel. For a large class of interaction kernels, we derive conditions that lead to solution...

Migratory patterns of bats are not well understood and traditional methods to study this, like capture-mark-recapture, may not provide enough detail unless there are many records. Stable isotope profiles of many animal species have been used to make inferences about migration. Each year Myotis lucifugus and M. septentrionalis migrate from summering roosts to swarming caves and mines in the fall...

In a previous work, it was observed that the swarming of polyamine-deficient Proteus mirabilis (speB::sm) was severely inhibited on Luria-Bertani (LB) swarming plates (LBSw) (LB, 0.5% glucose, 0.5% agar), and it was clarified that extracellular putrescine was important as a signaling molecule for the induction of swarming in P. mirabilis. However, a polyamine-deficient strain (delta-speAB delta...

According to many authors in the field of management, today’s globalization, rapid-fire technological innovations, and constantly mounting pressure from a few elitist, unimaginably rich, banking corporations have pushed the world markets into a state of ceaseless turmoil. “Success amidst such a maelstrom of change”—writes Conner [1] in his book Leading at the Edge of Chaos—“calls for much more ...

Models of swarming and modes of controlling them are numerous; however, to date swarm researchers have mostly ignored a fundamental problem that impedes scalable human interaction with large bio-inspired robot swarms, namely, how do you know what the swarm is doing if you can’t observe every agent in the collective? Some swarm models exhibit multiple emergent behaviors from the same parameters....

Swarms of autonomous agents are useful in many applications due to their ability accomplish tasks a decentralized manner, making them more robust failures. Due the difficulty running experiments with large numbers hardware agents, researchers often make simplifying assumptions and remove constraints that might be present real swarm deployment. While away some is tolerable, we feel two particula...

Evolving swarms can be used both to solve real-world problems and to study biological and ecological phenomena. We simulated an evolving swarm of birds under three different types of climate-change-related environmental variation a temperate environment becoming tropical, a temperate enviroment becoming a desert, and a tropical environment becoming a desert. We found that desertification increa...

Pseudomonas aeruginosa is an opportunistic pathogen that can cause a wide range of infections and inflammations in a variety of hosts, such as chronic biofilm associated lung infections in Cystic Fibrosis patients. Phosphate, an essential nutrient, has been recognized as an important signal that affects virulence in P. aeruginosa. In the current study we examined the connection between phosphat...