Stakeholder Relations and Ownership of a Community Wireless Network: The Case of iNethi

The primary objective for this study is to investigate multi-stakeholder understanding of ownership of a community wireless network (CWN) located in Ocean View, Cape Town. This is important because ownership and stakeholder relations are components that contribute to the success of a CWN. Using the convenience and snowball sampling method, we completed 11 semi-structured interviews with stakeholders from the University of Cape Town and the Ocean View community. We consider different ways ownership is conceived between stakeholders. We found that the involvement of the community at initiation of a CWN project is imperative in establishing ownership of a CWN. We characterize some of the ways in which discordant conceptions of ownership have resulted in miscommunication within this project and offer considerations for researchers to take into account as they collaborate with communities on joint initiatives

Membranes with the Same Ion Channel Populations but Different Excitabilities

Electrical signaling allows communication within and between different tissues and is necessary for the survival of multicellular organisms. The ionic transport that underlies transmembrane currents in cells is mediated by transporters and channels. Fast ionic transport through channels is typically modeled with a conductance-based formulation that describes current in terms of electrical drift without diffusion. In contrast, currents written in terms of drift and diffusion are not as widely used in the literature in spite of being more realistic and capable of displaying experimentally observable phenomena that conductance-based models cannot reproduce (e.g. rectification). The two formulations are mathematically related: conductance-based currents are linear approximations of drift-diffusion currents. However, conductance-based models of membrane potential are not first-order approximations of drift-diffusion models. Bifurcation analysis and numerical simulations show that the two approaches predict qualitatively and quantitatively different behaviors in the dynamics of membrane potential. For instance, two neuronal membrane models with identical populations of ion channels, one written with conductance-based currents, the other with drift-diffusion currents, undergo transitions into and out of repetitive oscillations through different mechanisms and for different levels of stimulation. These differences in excitability are observed in response to excitatory synaptic input, and across different levels of ion channel expression. In general, the electrophysiological profiles of membranes modeled with drift-diffusion and conductance-based models having identical ion channel populations are different, potentially causing the input-output and computational properties of networks constructed with these models to be different as well. The drift-diffusion formulation is thus proposed as a theoretical improvement over conductance-based models that may lead to more accurate predictions and interpretations of experimental data at the single cell and network levels