Feelings About Fracking: Using the Affect Heuristic to Understand Opposition to Coal Seam Gas Production

The rapid expansion of coal seam gas (CSG) extraction across Australia has polarized public opinion about the risks, benefits, and the future of the industry. We conducted a randomized controlled experiment to assess the impact of CSG messaging on opposition to the CSG industry. Residents of a major Australian city (N = 549), aged between 21 and 87 years, were randomly assigned to view one of three brief video messages (pro‐CSG, anti‐CSG, or a neutral control) sourced from the Internet. They then completed measures assessing CSG affective associations, perceived risks and benefits of CSG, and degree of opposition to the CSG industry. A subsample of 317 participants also completed the measures of affect, risks, benefits, and opposition two weeks following the initial message presentation. Message type significantly predicted message effects in a pattern consistent with the affect heuristic model, although overall, the message effects were modest in magnitude. Respondents who viewed the anti‐CSG video (relative to the control) reported more negative affective responses to CSG, perceived higher risks, fewer benefits, and greater opposition to the CSG industry. Those who viewed the pro‐CSG video (relative to the control) reported stronger positive affective responses to CSG, perceived more CSG benefits and fewer risks, and expressed less opposition to the industry. The effects persisted over a two‐week interval for the anti‐CSG message, but not for the pro‐CSG message. Our findings suggest that people's risk perceptions and views about the acceptability of CSG are malleable by messaging that targets affective pathways.     

Green and lean: a Gemba–Kaizen model for sustainability enhancement

Abstract

Despite the encouraging results obtained from the application of Green Lean, organizations have found the integration of Green and Lean, and their implementation as an integrated approach, challenging. This paper therefore presents a model for integrating Lean and Green based on the Gemba-Kaizen approach. The proposed model was developed on the basis of a through literature review on Gemba and Kaizen, conducted on peer reviewed journal articles and pragmatic books, and the more than 40 years of accumulated experience of the authors as academics, researchers, industrialists and consultants. The model was validated through two cases study in the aerospace and automotive industries. The results showed that the proposed model helped the case organizations to reduce the consumption of resources and improve their environmental performance. The proposed model can be the basis for further research on Lean and Green, contributing to help organizations to improve their sustainability performance.     

Miscommunicating Risk,Uncertainty, and Causation: Fine Particulate Air Pollution and Mortality Risk as an Example

A recent paper in this journal (Fann et al., 2012) estimated that “about 80,000 premature mortalities would be avoided by lowering PM_2.5 levels to 5 μg/m³ nationwide” and that 2005 levels of PM_2.5 cause about 130,000 premature mortalities per year among people over age 29, with a 95% confidence interval of 51,000 to 200,000 premature mortalities per year.⁽¹⁾ These conclusions depend entirely on misinterpreting statistical coefficients describing the association between PM_2.5 and mortality rates in selected studies and models as if they were known to be valid causal coefficients. But they are not, and both the expert opinions of EPA researchers and analysis of data suggest that a true value of zero for the PM_2.5 mortality causal coefficient is not excluded by available data. Presenting continuous confidence intervals that exclude the discrete possibility of zero misrepresents what is currently known (and not known) about the hypothesized causal relation between changes in PM_2.5 levels and changes in mortality rates, suggesting greater certainty about projected health benefits than is justified.     

A Novel Eigenvector Technique for Large Scale Combinatorial Problems in VLSI Layout

Modern integrated circuit design involves laying out circuits which consist of millions of switching elements or transistors. Due to the sheer complexity, optimizing the connectivity between transistors is a very difficult problem. How a circuit is interconnected is the single most important factor in performance criteria such as signal delay, power dissipation, circuit size and cost. These factors dictate that interconnections—wires, be made as short as possible. The wire–minimization problem is formulated as a sequence of discrete optimization subproblems. These problems are known to be NP-hard, hence they can only be solved approximately using meta-heuristics or linear programming techniques. Nevertheless, these methods are computationally expensive and the quality of solution depends to a great extent on an appropriate choice of starting configuration. A matrix reordering technique for solving very hard discrete optimization problems in Very Large Scale Integrated (VLSI) design which overcomes some of these shortcomings is proposed. In particular, the computational cost is reasonable—of the order of n ^1.4 running time.     

Assessing Potential Human Health Hazards and Benefits from Subtherapeutic Antibiotics in the United States: Tetracyclines as a Case Study

Many scientists, activists, regulators, and politicians have expressed urgent concern that using antibiotics in food animals selects for resistant strains of bacteria that harm human health and bring nearer a “postantibiotic era” of multidrug resistant “super‐bugs.” Proposed political solutions, such as the Preservation of Antibiotics for Medical Treatment Act (PAMTA), would ban entire classes of subtherapeutic antibiotics (STAs) now used for disease prevention and growth promotion in food animals. The proposed bans are not driven by formal quantitative risk assessment (QRA), but by a perceived need for immediate action to prevent potential catastrophe. Similar fears led to STA phase‐outs in Europe a decade ago. However, QRA and empirical data indicate that continued use of STAs in the United States has not harmed human health, and bans in Europe have not helped human health. The fears motivating PAMTA contrast with QRA estimates of vanishingly small risks. As a case study, examining specific tetracycline uses and resistance patterns suggests that there is no significant human health hazard from continued use of tetracycline in food animals. Simple hypothetical calculations suggest an unobservably small risk (between 0 and 1.75E‐11 excess lifetime risk of a tetracycline‐resistant infection), based on the long history of tetracycline use in the United States without resistance‐related treatment failures. QRAs for other STA uses in food animals also find that human health risks are vanishingly small. Whether such QRA calculations will guide risk management policy for animal antibiotics in the United States remains to be seen.     

The Role of Emotion in Global Warming Policy Support and Opposition

Prior research has found that affect and affective imagery strongly influence public support for global warming. This article extends this literature by exploring the separate influence of discrete emotions. Utilizing a nationally representative survey in the United States, this study found that discrete emotions were stronger predictors of global warming policy support than cultural worldviews, negative affect, image associations, or sociodemographic variables. In particular, worry, interest, and hope were strongly associated with increased policy support. The results contribute to experiential theories of risk information processing and suggest that discrete emotions play a significant role in public support for climate change policy. Implications for climate change communication are also discussed.     

Friendship Talk as Identity Work: Defining the Self Through Friend Relationships

This paper places friendships at the center of individuals' identity work, examining how individuals construct self‐identities through their talk about friend relationships and networks. We conceptualize this “friendship talk” as a subcategory of identity talk. From interviews with emerging adults, we find three strategies of friendship talk: envisioning self through others, betterment distancing, and situating with networks. These strategies demonstrate unique ways identity construction occurs through talk about friends. Individuals verbally connect with and separate from friends while constructing desired selves and moral identities. We suggest that friendship talk strategies may be generic social processes that apply beyond emerging adulthood.     

Safety and Solidarity After the Boston Marathon Bombing: A Comparison of Three Diverse Boston Neighborhoods

This article investigates the effect of the Boston Marathon Bombing on city residents— how the tragic incident changed, or did not change, how Bostonians live in and feel about their community and neighborhoods. Unlike prior research that began weeks or months after a terrorist attack and used retrospective reports, this study spans the focal event. An address‐based sample of residents from three neighborhoods, distinct in racial and economic makeup was surveyed by mail using a three‐contact protocol. About two‐thirds of respondents answered a survey of neighborhood sentiments, and health and well‐being in the days before the bombing (N = 581) and slightly over a third answered the survey after the bombing (N = 313). Assessments of safety, city and neighborhood satisfaction and solidarity, mental health, and other key measures vary greatly between the three neighborhoods, which are diverse in racial and economic composition, but also vary in proximity to the bomb site. Net of neighborhood differences, the bombing had a strong negative effect on neighborhood cohesion and reduced use of public transit. Strong interactions are also found between timing of survey completion (pre and post bombing) and neighborhood for assessments of neighborhood solidarity.     

The Social Costs of Gender Nonconformity for Transgender Adults: Implications for Discrimination and Health

Research suggests that transgender people face high levels of discrimination in society, which may contribute to their disproportionate risk for poor health. However, little is known about whether gender nonconformity, as a visible marker of one's stigmatized status as a transgender individual, heightens trans people's experiences with discrimination and, in turn, their health. Using data from the largest survey of transgender adults in the United States, the National Transgender Discrimination Survey (N = 4,115), we examine the associations among gender nonconformity, transphobic discrimination, and health‐harming behaviors (i.e., attempted suicide, drug/alcohol abuse, and smoking). The results suggest that gender nonconforming trans people face more discrimination and, in turn, are more likely to engage in health‐harming behaviors than trans people who are gender conforming. Our findings highlight the important role of gender nonconformity in the social experiences and well‐being of transgender people.     

Parent-child interaction therapy: application of an empirically supported treatment to maltreated children in foster care

One of the more serious problems faced by child welfare services involves the management of children with serious behavioral and mental health problems. Aggressive and defiant foster children are more likely to have multiple foster care placements, require extraordinary social services resources, and have poor short- and long-term mental health outcomes. Interventions that work with challenging foster children and enhance foster parents' skills in managing problem behaviors are necessary. This article presents the successful results of a single case study examining the application of Parent-Child Interaction Therapy (PCIT) with an aggressive young boy and his foster-adoptive parent. PCIT is a dyadic intervention that has been identified as an empirically supported treatment for abused children and for children with different types of behavioral disruption. The application of PCIT to assist foster parents is a promising direction for child welfare services.