Biased random walk on critical Galton-Watson trees conditioned to survive

We consider the biased random walk on a critical Galton-Watson tree conditioned to survive, and confirm that this model with trapping belongs to the same universality class as certain one-dimensional trapping models with slowly-varying tails. Indeed, in each of these two settings, we establish closely-related functional limit theorems involving an extremal process and also demonstrate extremal aging occurs

PLANTING DECISIONS AND UNCERTAIN CONSUMER ACCEPTANCE OF GENETICALLY MODIFIED CROP VARIETIES

There exists much uncertainty about consumer attitudes towards genetically modified foods. If it happens that sufficient (insufficient) acres are planted under non-modified seed to meet post-harvest demand, then a price premium will not (will) emerge for the non-modified varieties. A non-linearity originates in the fact that a price premium may be supported. This non-linearity interacts with the extent of demand uncertainty to determine equilibrium varietal plantings and the probability that post-harvest varietal prices will differ. Also, as planting approaches signals will be received by growers about the nature of demand they will be planting into. We show how the non-linearity affects the order on the types of signals that risk-neutral growers will prefer to receive.Consumer/Household Economics, Crop Production/Industries,

LOCATION, LAND QUALITY, AND RENTAL VOLATILITY

It appears to be widely believed that returns on low quality land are more variable than on high quality land. Using Ricardian rent as the measure of returns and sensitivity to output price as the measure of volatility, we investigate this null hypothesis for three different measures of quality. These are proximity to market, output productivity, and cost efficiency. In all cases, we identify precise conditions on the production technology such that rental volatility varies in a monotone manner with land quality. A method of econometric investigation of the relationship between rental volatility and land quality is developed and applied to Iowa cash rents data collected during 1994-2000. Our preliminary findings provide partial empirical support for the null hypothesis of an inverse relationship between quality and rental volatility with respect to commodity prices.Land Economics/Use,

Exploiting evolution to treat drug resistance: Combination therapy and the double bind

Although many anti cancer therapies are successful in killing a large percentage of tumour cells when initially administered, the evolutionary dynamics underpinning tumour progression mean that often resistance is an inevitable outcome, allowing for new tumour phenotypes to emerge that are unhindered by the therapy. Research in the field of ecology suggests that an evolutionary double bind could be an effective way to treat tumours. In an evolutionary double bind two therapies are used in combination such that evolving resistance to one leaves individuals more susceptible to the other. In this paper we present a general evolutionary game theory model of a double bind to study the effect that such approach would have in cancer. Furthermore we use this mathematical framework to understand recent experimental results that suggest a synergistic effect between a p53 cancer vaccine and chemotherapy. Our model recapitulates the experimental data and provides an explanation for its effectiveness based on the commensalistic relationship between the tumour phenotypes

The impact of cellular characteristics on the evolution of shape homeostasis

The importance of individual cells in a developing multicellular organism is well known but precisely how the individual cellular characteristics of those cells collectively drive the emergence of robust, homeostatic structures is less well understood. For example cell communication via a diffusible factor allows for information to travel across large distances within the population, and cell polarisation makes it possible to form structures with a particular orientation, but how do these processes interact to produce a more robust and regulated structure? In this study we investigate the ability of cells with different cellular characteristics to grow and maintain homeostatic structures. We do this in the context of an individual-based model where cell behaviour is driven by an intra-cellular network that determines the cell phenotype. More precisely, we investigated evolution with 96 different permutations of our model, where cell motility, cell death, long-range growth factor (LGF), short-range growth factor (SGF) and cell polarisation were either present or absent. The results show that LGF has the largest positive impact on the fitness of the evolved solutions. SGF and polarisation also contribute, but all other capabilities essentially increase the search space, effectively making it more difficult to achieve a solution. By perturbing the evolved solutions, we found that they are highly robust to both mutations and wounding. In addition, we observed that by evolving solutions in more unstable environments they produce structures that were more robust and adaptive. In conclusion, our results suggest that robust collective behaviour is most likely to evolve when cells are endowed with long range communication, cell polarisation, and selection pressure from an unstable environment

Discrimination and synthesis of recursive quantum states in high-dimensional Hilbert spaces

We propose an interferometric method for statistically discriminating between nonorthogonal states in high dimensional Hilbert spaces for use in quantum information processing. The method is illustrated for the case of photon orbital angular momentum (OAM) states. These states belong to pairs of bases that are mutually unbiased on a sequence of two-dimensional subspaces of the full Hilbert space, but the vectors within the same basis are not necessarily orthogonal to each other. Over multiple trials, this method allows distinguishing OAM eigenstates from superpositions of multiple such eigenstates. Variations of the same method are then shown to be capable of preparing and detecting arbitrary linear combinations of states in Hilbert space. One further variation allows the construction of chains of states obeying recurrence relations on the Hilbert space itself, opening a new range of possibilities for more abstract information-coding algorithms to be carried out experimentally in a simple manner. Among other applications, we show that this approach provides a simplified means of switching between pairs of high-dimensional mutually unbiased OAM bases