Moral conformity in online interactions: rational justifications increase influence of peer opinions on moral judgments

Over the last decade, social media has increasingly been used as a platform for political and moral discourse. We investigate whether conformity, specifically concerning moral attitudes, occurs in these virtual environments apart from face-to-face interactions. Participants took an online survey and saw either statistical information about the frequency of certain responses, as one might see on social media (Study 1), or arguments that defend the responses in either a rational or emotional way (Study 2). Our results show that social information shaped moral judgments, even in an impersonal digital setting. Furthermore, rational arguments were more effective at eliciting conformity than emotional arguments. We discuss the implications of these results for theories of moral judgment that prioritize emotional responses.     

Health insurance literacy: A mixed methods study of college students

Objective: This study examines the health insurance literacy, or the ability to use health insurance effectively, of college students. Participants: A total of 455 students from a large, public university completed an online questionnaire in November 2016. Methods: A questionnaire examined students’ knowledge of commonly encountered health insurance terms and ability to apply that knowledge to determine cost-sharing in a clinical setting. Results: The majority of students were able to correctly identify the most commonly encountered terms, but could not identify terms related to plan types and options. Eighty-eight percent of students could not determine their cost-sharing for two presented scenarios. Approximately half of the students indicated they had been confused about their health insurance plan, with one-quarter of students stopping or delaying medical care due to confusion. Conclusions: Outreach and education for students should target specific deficits in knowledge such as those identified in this study.     

The energy and mass balance of Los Angeles County

We conducted an urban “metabolic” study of inputs and outputs of food, water, energy, and pollutants from Los Angeles County, USA. This region has been the subject of recent debate about the nature of population density and distribution as it relates to urban form and associated environmental impacts. We found that with the exception of food imports and wastewater outputs, inputs of resources and outputs of pollutants generally declined on a per capita basis from 1990 to 2000. Reductions likely reflected a combination of changes in public policy, improvements in technology and public infrastructure, and impacts of increases in population density. However, in comparison to other municipalities and urban regions, resource consumption per capita was still relatively high in some categories, particularly inputs of water and transportation energy. Per capita greenhouse gas emissions were lower in Los Angeles County than for the average of the USA as a whole but higher than previous analyses of urban areas internationally, largely due to comparatively high emissions from the transportation sector. Wastewater discharge accounted for less than 40% of water inputs excluding precipitation; however the partitioning of water outputs through other potential losses, specifically evapotranspiration, runoff, and groundwater recharge, remains highly uncertain. We suggest that more detailed information about water losses will greatly improve future mass and energy accounting for analyses of urban environmental sustainability in this semi-arid region.     

Psychological Effects of Unemployment on Workers and Their Families

This paper reviews findings from a panel study of Boston area unemployed men and their families. Psychological effects of unemployment on workers and their wives are summarized, particularly for the first half year of joblessness. Family responses to job loss are also examined, including the role of the marital relationship in buffering workers' stress. Finally, policy and service implications of this research are discussed. Consideration is given not only to the mental health needs of workers, but to frequently overlooked qualities of efficacy and resilience among the unemployed.     

Interview schedule development for a Sequential explanatory mixed method design: complementary-alternative medicine (CAM) study among Indonesian psychologists

Sequential explanatory mixed method design is the most frequently applied in both health and social sciences literature. It is denoted by ‘QUAN → qual’ which represents the quantitative study occurs first and has greater weight in addressing the study’s aims, and the qualitative study follows to explain quantitative results. Despite the extensive use of sequential explanatory design, there are limited references to this design. Therefore, this methodological paper attempts to fill the gap by providing an illustration in developing a sequential explanatory interview schedule based on complementary-alternative medicine (CAM) study among clinical psychologists in Indonesia. The most important step to develop sequential explanatory interview schedule was the construction of aspects and questions that were immensely grounded on the most notable quantitative results. In this study, eight aspects of interview schedule were constructed after analyses of the nationwide survey. The interview schedule then piloted among participants with fairly similar characteristics to the participants in the main interviews. This process enhanced the quality of questions through feedback from participants and improved the interviewer’s skills through familiarization with questions. It is expected that this reflection report could be adopted as a practical guideline in developing interview schedule for sequential explanatory mixed method design, particularly in the field of psychology.     

On the mean L1-error in the heteroscedastic deconvolution problem with compactly supported noises

We study the heteroscedastic deconvolution problem when random noises have compactly supported densities. In this context, the Fourier transforms of the densities can vanish on the real line. We propose a truncated type of estimator for target density and derive the convergence rate of the mean L¹-error uniformly over a class of target densities. A lower bound for the mean L¹-error is also established. Some simulations will be given to illustrate the performance of the proposed estimator.     

A linear programming duality approach to analyzing strictly nonblocking <Emphasis Type="Italic">d</Emphasis>-ary multilog networks under general crosstalk constraints

When a switching network topology is used for constructing optical cross-connects, as in the circuit switching case, no two routes are allowed to share a link. However, if two routes share too many switching elements, then crosstalk introduced at those switching elements degrades signal quality. Vaez and Lea (IEEE Trans. Commun. 48:(2)316–323, 2000) introduced a parameter c which is the maximum number of distinct switching elements a route can share with other routes in the network. This is called the general crosstalk constraint. This paper presents a new method of analyzing strictly nonblocking multi-log networks under this general crosstalk constraint using linear programming duality.     

Bridging help-seeking options to Vietnamese Americans with parent–child conflict and depressive symptoms

To help practitioners bridge services to their clients who face family problems, this research aims to identify help-seeking behaviors among Vietnamese Americans who have experienced parent–child conflict and depression. The 2008 Asian Survey found that 46.3% of 572 Vietnamese Americans experienced parent–child conflict and 30.2% reported depressive symptoms. Having parent–child conflicts or depressive symptoms did not predict help-seeking from mental health professionals. Logistic regression results show that having parent–child conflict would increase the likelihood by 81.7% of a thinking that the problem will be naturally resolved; having depressive symptoms would increase the likelihood of seeking help from herbalists by 1.718 times and from medical doctors by 39.7%. Service strategies should include offering educational programs by multidisciplinary professionals with a focus on the natural aspect of building parent–child bonding.     

A primal-dual approximation algorithm for the Asymmetric Prize-Collecting TSP

We present a primal-dual ?log(n)?-approximation algorithm for the version of the asymmetric prize collecting traveling salesman problem, where the objective is to find a directed tour that visits a subset of vertices such that the length of the tour plus the sum of penalties associated with vertices not in the tour is as small as possible. The previous algorithm for the problem (V.H. Nguyen and T.T Nguyen in Int. J. Math. Oper. Res. 4(3):294–301, 2012) which is not combinatorial, is based on the Held-Karp relaxation and heuristic methods such as the Frieze et al.’s heuristic (Frieze et al. in Networks 12:23–39, 1982) or the recent Asadpour et al.’s heuristic for the ATSP (Asadpour et al. in 21st ACM-SIAM symposium on discrete algorithms, 2010). Depending on which of the two heuristics is used, it gives respectively 1+?log(n)? and $3+ 8\frac{\log(n)}{\log(\log(n))}$ as an approximation ratio. Our algorithm achieves an approximation ratio of ?log(n)? which is weaker than $3+ 8\frac{\log(n)}{\log(\log(n))}$ but represents the first combinatorial approximation algorithm for the Asymmetric Prize-Collecting TSP.