Non-competitive phenotypic differences can have a strong effect on ideal free distributions

1. We present a model of the ideal free distribution (IFD) where differences between phenotypes other than those involved in direct competition for resources are considered. We show that these post-acquisitional differences can have a dramatic impact on the predicted distributions of individuals.

2. Specifically, we predict that, when the relative abilities of phenotypes are independent of location, there will be a continuum of mixed evolutionarily stable strategy (ESS) distributions (where all phenotypes are present in all patches).

3, When the relative strengths of the post-acquisitional trait in the two phenotypes differ between patches, however, we predict only a single ESS at equilibrium. Further, this distribution may be fully or partially segregated (with the distribution of at least one phenotype being spatially restricted) but it will never be mixed.

4, Our results for post-acquisitional traits mirror those of Parker (1982) for direct competitive traits. This comparison illustrates that it does not matter whether individual differences are expressed before or after competition for resources, they will still exert considerable influence on the distribution of the individuals concerned.

Reciprocal value propositions in practice: Constraints in digital markets

The value proposition concept, while forming a central foundational premise of service-dominant (S-D) logic, has nevertheless been treated somewhat ambiguously. Recent work in attempting to address this has focused through a S-D logic lens on the reciprocal nature of value propositions. Important to this work has been a focus on communicative interactions and resource integration between network suppliers and customers. Overall, value proposition thinking has not studied in detail their adoption and use in practice. Considering the compelling notion of reciprocity, there have been recent calls for research to consider reciprocal value propositions in practice. The overall aim of this paper, therefore, was to explore how reciprocal value propositions are developed (or not) in practice at the network level. The study was set in the mobile television (TV) sector, which, as an internet-driven sector, is viewed as particularly pertinent. To conduct the study an S-D logic and Industrial Marketing and Purchasing (IMP) Group framework are integrated for the first time. A key finding is that while the reciprocal value proposition concept is theoretically intuitive, it is by no means inevitable in practice. Reciprocal value propositions were found to be simultaneously constrained, and, potentially enabled by these constraints in practice. At an overall level this paper contributes to the ongoing collaborative process, which aims to move S-D logic from a framework to a theory. More specifically, we provide new insights into the development of reciprocal value propositions in practice.

Information aggregation and belief elicitation in experimental parimutuel betting markets

This paper studies the impact of belief elicitation on informational efficiency and individual behavior in experimental parimutuel betting markets. In one treatment, groups of eight participants, who possess a private signal about the eventual outcome, play a sequential betting game. The second treatment is identical, except that bettors are observed by eight other participants who submit incentivized beliefs about the winning probabilities of each outcome. In the third treatment, the same individuals make bets and assess the winning probabilities of the outcomes. Market probabilities more accurately reflect objective probabilities in the third than in the other two treatments. Submitting beliefs reduces the favorite-longshot bias and making bets improves the accuracy of elicited beliefs. A level-k framework provides some insights about why belief elicitation improves the capacity of betting markets to aggregate information. (C) 2012 Elsevier B.V. All rights reserved.

Medicalization, markets and consumers.

This paper examines the impact of changes in the medical marketplace on medicalization in U.S. society. Using four cases (Viagra, Paxil, human growth hormone and in vitro fertilization), we focus on two aspects of the changing medical marketplace: the role of direct-to-consumer advertising of prescription drugs and the emergence of private medical markets. We demonstrate how consumers and pharmaceutical corporations contribute to medicalization, with physicians, insurance coverage, and changes in regulatory practices playing facilitating roles. In some cases, insurers attempt to counteract medicalization by restricting access. We distinguish mediated and private medical markets, each characterized by differing relationships with corporations, insurers, consumers, and physicians. In the changing medical environment, with medical markets as intervening factors, corporations and insurers are becoming more significant determinants in the medicalization process.

Ensuring the statistical soundness of competitive gene set approaches: gene filtering and genome-scale coverage are essential

In this article, we focus on the analysis of competitive gene set methods for detecting the statistical significance of pathways from gene expression data. Our main result is to demonstrate that some of the most frequently used gene set methods, GSEA, GSEArot and GAGE, are severely influenced by the filtering of the data in a way that such an analysis is no longer reconcilable with the principles of statistical inference, rendering the obtained results in the worst case inexpressive. A possible consequence of this is that these methods can increase their power by the addition of unrelated data and noise. Our results are obtained within a bootstrapping framework that allows a rigorous assessment of the robustness of results and enables power estimates. Our results indicate that when using competitive gene set methods, it is imperative to apply a stringent gene filtering criterion. However, even when genes are filtered appropriately, for gene expression data from chips that do not provide a genome-scale coverage of the expression values of all mRNAs, this is not enough for GSEA, GSEArot and GAGE to ensure the statistical soundness of the applied procedure. For this reason, for biomedical and clinical studies, we strongly advice not to use GSEA, GSEArot and GAGE for such data sets.

Competitive adsorption of aqueous metal ions on an oxidized nanoporous activated carbon\

Competitive adsorption is the usual situation in real applications, and it is of critical importance in determining the overall performance of an adsorbent. In this study, the competitive adsorption characteristics of all the combinations of binary mixtures of aqueous metal ion species Ca2+(aq), Cd2+(aq), Pb2+(aq), and Hg2+(aq) on a functionalized activated carbon were investigated. The porous structure of the functionalized active carbon was characterized using N-2 (77 K) and CO2 (273 K) adsorption. The surface group characteristics were examined by temperature-programmed desorption, Fourier transform infrared spectroscopy, Raman spectroscopy, acid/base titrations, and measurement of the point of zero charge (pH(PZC)). The adsorption of aqueous metal ion species M2+(aq), on acidic oxygen functional group sites mainly involves an ion exchange mechanism. The ratios of protons displaced to the amount of M2+(aq) metal species adsorbed have a linear relationship for both single-ion and binary mixtures of these species. Hydrolysis of metal species in solution may affect the adsorption, and this is the case for adsorption of Hg2+(aq) and Pb2+(aq). Competitive adsorption decreases the amounts of individual metal ions adsorbed, but the maximum amounts adsorbed still follow the order Hg2+(aq) > Pb2+(aq) > Cd2+(aq) > Ca2+(aq) obtained for single metal ion adsorption. The adsorption isotherms for single metal ion species were used to develop a model for competitive adsorption in binary mixtures, involving exchange of ions in solution with surface proton sites and adsorbed metal ions, with the species having different accessibilities to the porous structure. The model was validated against the experimental data.