The computational analysis of phototrophic growth using constraint-based optimization requires to go beyond current time-invariant implementations of flux-balance analysis (FBA). Phototrophic organisms, such as cyanobacteria, rely on harvesting the sun's energy for the conversion of atmospheric CO2 into organic carbon, hence their metabolism follows a strongly diurnal lifestyle. We describe the...

The growth rate-dependent regulation of cell size, ribosomal content, and metabolic efficiency follows a common pattern in unicellular organisms: with increasing growth rates, cell size and ribosomal content increase and a shift to energetically inefficient metabolism takes place. The latter two phenomena are also observed in fast growing tumour cells and cell lines. These patterns suggest a fu...

We present a framework for the construction of vascular systems based on optimality principles of theoretical physiology. Given the position and flow distribution of end points of a vascular system, we construct the topology and positions of internal nodes to complete the vascular system in a realistic manner. Optimization is driven by intravascular volume minimization with constraints derived ...

The present study aimed to evaluate optimize the growth and antibacterial activity of endophytic fungi isolated from Tylophora indica. Based on the morphological and molecular characteristic, the isolate was identified as Fusarium solani. Modified liquid medium (M2D) was used as a basal medium for growth and antibacterial activity. The growth and metabolite production were optimized with 4% dex...

By accurately optimizing the growth conditions for an oxygen doped AlN nucleation layer and for the subsequent epitaxial process the crystal quality of our GaN could drastically be improved. In X-ray diffraction (XRD) analyses we observed FWHM values of 39 arcsec and 114 arcsec for the symmetric (004) and asymmetric (114) reflection, respectively. Consequently, the nominally undoped samples sho...

Internet Electron. J. Mol. Des. 2003, 1, 000–000 Abstract Motivation. Ant colony optimization is one of the most recent nature-inspired metaheuristics. The algorithm mimics cooperative foraging behavior of real life ants, has already exhibited superior performance in solving combinatorial optimization problems. In this work, we have explored the searching capabilities of this metaheuristic for ...

Kinetics of the deposition process of dimers in the presence of desorption is studied by Monte Carlo method on a one-dimensional lattice. The aim of this work is to investigate how do various temporal dependencies of the desorption rate hasten or slow down the deposition process. The growth of the coverage θ(t) above the jamming limit to its steady-state value θ(∞) is analyzed when the desorpti...

We present the application of an evolutionary genetic algorithm for the in situ optimization of nanostructures that are prepared by focused electron-beam-induced deposition (FEBID). It allows us to tune the properties of the deposits towards the highest conductivity by using the time gradient of the measured in situ rate of change of conductance as the fitness parameter for the algorithm. The e...

Integrating microbial physiology and biomass stoichiometry opens far-reaching possibilities for linking microbial dynamics to ecosystem processes. For example, the growth-rate hypothesis (GRH) predicts positive correlations among growth rate, RNA content, and biomass phosphorus (P) content. Such relationships have been used to infer patterns of microbial activity, resource availability, and nut...

optimization of reservoir parameters is an important issue in petroleum exploration and production. the ant colony optimization(aco) is a recent approach to solve discrete and continuous optimization problems. in this paper, the ant colony optimization is usedas an intelligent tool to estimate reservoir rock properties. the methodology is illustrated by using a case study on shear wave velocity...