Ranking competitors using degree-neutralized random walks.

Competition is ubiquitous in many complex biological, social, and technological systems, playing an integral role in the evolutionary dynamics of the systems. It is often useful to determine the dominance hierarchy or the rankings of the components of the system that compete for survival and success based on the outcomes of the competitions between them. Here we propose a ranking method based on the random walk on the network representing the competitors as nodes and competitions as directed edges with asymmetric weights.

Kinetics and simulations of substrate interactions during the biodegradation of benzene, toluene, p-xylene and styrene.

Air streams commonly emitted from industrial sources generally contain various mixtures of volatile organic compounds (VOCs), and these complex mixtures can present challenges with respect to bioreactor design and applications. In this study, therefore, a modified Monod-type model using interaction parameters was employed to describe the biodegradation kinetics of mixtures of aromatic compounds by a Pseudomonas isolate. In addition, the model and estimated parameters were utilized to predict the performance of a bubble-column bioreactor for the treatment of mixtures of benzene, toluene, p-xylene, and styrene (BTXS).

Modeling and simulations of the removal of formaldehyde using silver nano-particles attached to granular activated carbon.

A combined reaction, consisting of granular activated carbon (GAC) adsorption and catalytic oxidation, has been proposed to improve the removal efficiencies of formaldehyde, one of the major indoor air pollutants. In this study, silver nano-particles attached onto the surface of GAC (Ag-GAC) using the sputtering method were evaluated for the simultaneous catalytic oxidation and adsorption of formaldehyde. The evolution of CO(2) from the silver nano-particles indicated that formaldehyde was catalytically oxidized to its final product, with the oxidation kinetics expressed as pseudo-first order.

Enhanced toluene removal using granular activated carbon and a yeast strain Candida tropicalis in bubble-column bioreactors.

The yeast strain Candida tropicalis was used for the biodegradation of gaseous toluene. Toluene was effectively treated by a liquid culture of C. tropicalis in a bubble-column bioreactor, and the toluene removal efficiency increased with decreasing gas flow rate.