Seminar on Narcotics Problems in Developing Countries in Africa

While most African countries have no real cause for alarm concerning narcotic drug addiction and illicit trafficking, the possibilities for the future in such a huge and rapidly changing area call for the utmost vigilance. Only in this way can the tragedy of large-scale addiction which has afflicted other wide regions of the world be avoided. Urbanisation, internal migration, and detribalisation are factors which might well sow the seeds of future trouble. The United Nations therefore organised this regional seminar, the first of its kind in Africa, as part of its programme of technical assistance in narcotics contro

THREE INVESTIGATIONS INTO THE DYNAMICS AND IMPLICATIONS OF IDENTITY-PROTECTIVE COGNITION FOR PUBLIC RESPONSES TO ENVIRONMENTAL PROBLEMS

In the case of responding to climate change and related environmental problems, opinions about the best course of action have become starkly polarized along ideological lines. The identity-protective cognition thesis posits that when individuals experience a sense of challenge to these identities, they are motivated to engage in cognitive shortcuts and other reasoning processes to protect these identities against threat. In this research, I discuss three investigations into identity-protective cognition in the context of responding to environmental problems, applying the broader identity-protective cognition framework to a diverse set of theoretical and practical questions. Chapter 2 highlights research exploring the effect of motivated reasoning on responses to natural disasters linked with climate change. Chapter 3 looks at how brand and environmental identities influence responses to corporate environmental scandals that are personally relevant and require individual-level action. Chapter 4 extends this research paradigm by exploring public responses to visual imagery used to depict climate change across three countries, while also examining how identity-protective processes shape these responses. In addition to the theoretical and practical contributions for environmental engagement, explicit emphasis is placed on the use of full Bayesian inference for quantitative environmental decision making research. Implications for theory, methodology, and practice are considered

Secondhand Communication of Risk-Related Information: How Ideology and Relational Motives affect Interpersonal Risk Communication

This research provides the first experimental investigation of the ways in which ideological and relational motives influence interpersonal risk communication. Drawing on the literatures in social and cognitive psychology, risk communication, and environmental decision making, this research examined whether individuals expressing concerns about tradeoffs between climate change adaptation and prevention were less likely to share climate change information with others if the information discussed adaptation policies. Participants were presented with an article about climate change framed as either relating to adaptation or prevention. Their willingness to share the article with others was measured, as well as their appraisals of how they thought others would respond to the message (e.g., increase or decrease their environmental behavior) and how others would evaluate oneself for sharing the message. Concerns about tradeoffs and sensitivity to social rejection were measured prior to the experimental procedure. Results yielded partial support for the hypotheses, with concern about tradeoffs negatively influencing attitudes toward sharing of the adaptation-related article. Hypothesized interaction effects with concerns about social rejection were not supported. Exploratory analyses revealed that the perception that others in one’s social network holds similar or dissimilar views to oneself about climate change emerged as an important moderator of the effects of concern about tradeoffs on sharing intentions. Limitations and future directions for research on interpersonal risk communication are discussed

Asynchronous Event-Triggered Control for Non-Linear Systems

With the increasing ubiquity of networked control systems, various strategies for sampling constituent subsystems' outputs have emerged. In contrast with periodic sampling, event-triggered control provides a way to efficiently sample a subsystem and conserve network resource usage, by triggering an update only when a state-dependent error threshold is satisfied. Herein we describe a scheme for asynchronous event-triggered control (ETC) of a nonlinear plant using sampler subsystems with hybrid dynamics. By exploiting inherent differences in the plant and controllers time scales, the proposed scheme permits independent sampling of plant and controller states. We extend existing ETC literature by adopting a more general representation of the sampler subsystem dynamics, thus accommodating different sampling schemes for both synchronous and asynchronous ETC applications. We present a numerical example in order to illustrate important operational considerations for the proposed scheme

Visualizing aerosol-particle injection for diffractive-imaging experiments

Delivering sub-micrometer particles to an intense x-ray focus is a crucial aspect of single-particle diffractive-imaging experiments at x-ray free-electron lasers. Enabling direct visualization of sub-micrometer aerosol particle streams without interfering with the operation of the particle injector can greatly improve the overall efficiency of single-particle imaging experiments by reducing the amount of time and sample consumed during measurements. We have developed in-situ non-destructive imaging diagnostics to aid real-time particle injector optimization and x-ray/particle-beam alignment, based on laser illumination schemes and fast imaging detectors. Our diagnostics are constructed to provide a non-invasive rapid feedback on injector performance during measurements, and have been demonstrated during diffraction measurements at the FLASH free-electron laser.Comment: 15 page

Digital Surveillance: Foucault, the Internet, and the Meaning for Democracy

In this paper, we discuss digital surveillance and ways it enhances and changes the surveillance society Foucault described. Digital technology often has positioned itself as being a new media formation that will enhance democracy through peer-to-peer networks that highlight user-generated content and user-generated prioritization. Often hidden, however, is the relationship between the user and the owner of the proprietary digital space. Here, we explore the ways that the phenomenon digital surveillance actually differs from Foucault\u27s interpretation as the social context has changed

Mining Deep-Ocean Mineral Deposits: What are the Ecological Risks?

A key question for the future management of the oceans is whether the mineral deposits that exist on the seafloor of the deep ocean can be extracted without significant adverse effects to the environment. The potential impacts of mining are wide-ranging and will vary depending on the type of metal-rich mineral deposit being mined. There is, currently, a significant lack of information about deep-ocean ecosystems and about potential mining technologies: thus, there could be many unforeseen impacts. Here, we discuss the potential ecological impacts of deep-ocean mining and identify the key knowledge gaps to be addressed. Baseline studies must be undertaken, as well as regular monitoring of a mine area, before, during, and after mineral extraction

Network size, structure and mutualism dependence affect the propensity for plant-pollinator extinction cascades

1. Pollinator network structure arising from the extent and strength of interspecific mutualistic interactions can promote species persistence and community robustness. However, environmental change may re-organise network structure limiting capacity to absorb or resist shocks and increasing species extinctions. 2. We investigated if habitat disturbance and the level of mutualism dependence between species affected the robustness of insect–flower visitation networks Following a recently developed Stochastic Co-extinction Model (SCM), we ran simulations to produce the number of extinction episodes (cascade degree), which we correlated with network structure in undisturbed and disturbed habitat. We also explicitly modelled whether a species’ intrinsic dependence on mutualism affected the propensity for extinction cascades in the network. 3. Habitat disturbance generated a gradient in network structure with those from disturbed sites being less connected, but more speciose and so larger. Controlling for network size (z-score standardisation against the null model) revealed that disturbed networks had disproportionately low linkage density, high specialisation, fewer insect visitors per plant species (vulnerability) and lower nestedness (NODF). 4. This network structure gradient driven by disturbance increased and decreased different aspects of robustness to simulated plant extinction. Disturbance decreased the risk that an initial insect extinction would follow a plant species loss. Although, this effect disappeared when network size and connectance were standardised, suggesting the lower connectance of disturbed networks increased robustness to an initial secondary extinction. 5. However, if a secondary extinction occurred then networks from disturbed habitat were more prone to large co-extinction cascades, likely resulting from a greater chance of extinction in these larger, speciose networks. Conversely, when species mutualism dependency was explicit in the SCM simulations the disturbed networks were disproportionately more robust to very large co-extinction cascades, potentially caused by non-random patterns of interaction between species differing in dependence on mutualism. 6. Our results showed disturbance altered the size and the distribution of interspecific interactions in the networks to affect their robustness to co-extinction cascades. Controlling for effects due to network size and the interspecific variation in demographic dependence on mutualism can improve insight into properties conferring the structural robustness of networks to environmental changes