Are we predisposed to behave securely? Influence of risk disposition on individual security behaviors

Employees continue to be the weak link in organizational security management and efforts to improve the security of employee behaviors have not been as effective as hoped. Researchers contend that security-related decision making is primarily based on risk perception. There is also a belief that, if changed, this could improve security-related compliance. The extant research has primarily focused on applying theories that assume rational decision making e.g. protection motivation and deterrence theories. This work presumes we can influence employees towards compliance with information security policies and by means of fear appeals and threatened sanctions. However, it is now becoming clear that security-related decision making is complex and nuanced, not a simple carrot- and stick-related situation. Dispositional and situational factors interact and interplay to influence security decisions. In this paper, we present a model that positions psychological disposition of individuals in terms of risk tolerance vs. risk aversion and proposes research to explore how this factor influences security behaviors. We propose a model that acknowledges the impact of employees' individual dispositional risk propensity as well as their situational risk perceptions on security-related decisions. It is crucial to understand this decision-making phenomenon as a foundation for designing effective interventions to reduce such risk taking. We conclude by offering suggestions for further research.</p

An Exploration of Racial/Ethnic Differences in the Association between Perfectionism and Disordered Eating in College Students

Perfectionism is a robust risk factor for eating disorders (EDs). Although individually-oriented dimensions of perfectionism are strongly related to eating pathology, less is known about the contribution of parent-oriented dimensions, specifically parental expectations (PE) and parental criticisms (PC). Further, few studies have investigated these effects within racially/ethnically diverse samples. However, PE and PC might be particularly relevant to eating pathology among certain cultural groups, such as those from collectivistic and interdependent societies. This study examined associations among PE, PC, and ED symptoms across racial/ethnic groups. Undergraduates (N=706; 74.8% Female; 48% White, 19.8% Black, 7.1% Latinx, 16% Asian, 9.1% multiracial) completed online surveys assessing perfectionism and ED symptoms. Multiple and logistic regressions examined the association between parent-oriented perfectionism, global eating pathology, loss-of-control (LOC) eating, purging behaviors, and ED risk status (EDE-Q global \u3c 4.0). Analyses were conducted by racial/ethnic group, controlling for gender. Both PE and PC were related to greater ED pathology in students identifying as White (pp=.03), Asian (p=.02), and multiracial (pp=.19). Higher PC was related to a greater likelihood of endorsing LOC eating in White (p=.004) and Black students (p=.05) and purging behaviors in White (p=.004), Asian (p=.04), and multiracial students (p=.03). Greater PC was also associated with ED risk in Asian (p=.03) and multiracial participants (p=.01). Findings indicate that the relations between specific aspects of parent-oriented perfectionism differ among cultural groups and are associated with ED symptoms in college students. PC seemed more relevant to ED pathology than did PE overall. Findings suggest that parent-oriented perfectionism, particularly PC, might be important to include in clinical assessment and treatment with students at-risk of EDs.https://scholarscompass.vcu.edu/gradposters/1039/thumbnail.jp

A transport model of the turbulent scalar-velocity

Performance tests of the third-order turbulence closure for predictions of separating and recirculating flows in backward-facing steps were studied. Computations of the momentum and temperature fields in the flow domain being considered entail the solution of time-averaged transport equations containing the second-order turbulent fluctuating products. The triple products, which are responsible for the diffusive transport of the second-order products, attain greater significance in separating and reattaching flows. The computations are compared with several algebraic models and with the experimental data. The prediction was improved considerably, particularly in the separated shear layer. Computations are further made for the temperature-velocity double products and triple products. Finally, several advantages were observed in the usage of the transport equations for the evaluation of the turbulence triple products; one of the most important features is that the transport model can always take the effects of convection and diffusion into account in strong convective shear flows such as reattaching separated layers while conventional algebraic models cannot account for these effects in the evaluation of turbulence variables

CONCEPTUALIZATION OF BODY IMAGE AND EATING DISORDERS AMONG SOUTH ASIAN AMERICAN WOMEN: A QUALITATIVE INVESTIGATION

Though it is known that eating disorders (EDs) affect individuals of all racial/ethnic backgrounds (Cheng, Perko, Fuller-Marashi, Gau, & Stice, 2019), people of color tend to be overlooked in the ED literature. South Asian Americans, a specific subset of individuals traditionally categorized within the larger umbrella group of “Asians,” have been notoriously neglected in both the broader mental health literature, and in the ED literature (Inman, Devdas, Spektor, & Pendse, 2014; Iyer & Haslam, 2003, 2006). Currently, very little information exists on the etiology and presentation of EDs amongst South Asian communities. Even less is known about culturally-specific barriers to treatment-seeking for this population. To begin to address these issues, this study used focus group methodology with South Asian American women to identify salient themes. Thematic analysis revealed several key themes for body image and EDs, as well as perceived barriers and facilitators of ED treatment-seeking behavior for this group. Notably, South Asian American women are subjected to multiple appearance ideals, experience unique cultural stressors related to living in the United States, and perceive relatively high expectations and pressures from multiple social domains, including parents and community members. Both generalized and social stigma about mental health, parents’ mental health concerns, lack of knowledge about EDs, and healthcare providers’ biases were important barriers to treatment-seeking. To address these obstacles, participants recommended that clinicians facilitate intergenerational conversations about mental health, create ED psychoeducational health campaigns, and train providers in culturally-sensitive practices for detecting and treating mental health and ED concerns. Findings can inform the assessment, prevention, and treatment of EDs via the development of a culturally-sensitive ED assessment measure designed specifically for South Asian American women

Self-critical Sequence Training for Image Captioning

Recently it has been shown that policy-gradient methods for reinforcement learning can be utilized to train deep end-to-end systems directly on non-differentiable metrics for the task at hand. In this paper we consider the problem of optimizing image captioning systems using reinforcement learning, and show that by carefully optimizing our systems using the test metrics of the MSCOCO task, significant gains in performance can be realized. Our systems are built using a new optimization approach that we call self-critical sequence training (SCST). SCST is a form of the popular REINFORCE algorithm that, rather than estimating a "baseline" to normalize the rewards and reduce variance, utilizes the output of its own test-time inference algorithm to normalize the rewards it experiences. Using this approach, estimating the reward signal (as actor-critic methods must do) and estimating normalization (as REINFORCE algorithms typically do) is avoided, while at the same time harmonizing the model with respect to its test-time inference procedure. Empirically we find that directly optimizing the CIDEr metric with SCST and greedy decoding at test-time is highly effective. Our results on the MSCOCO evaluation sever establish a new state-of-the-art on the task, improving the best result in terms of CIDEr from 104.9 to 114.7.Comment: CVPR 2017 + additional analysis + fixed baseline results, 16 page

Cascades: A view from Audience

Cascades on online networks have been a popular subject of study in the past decade, and there is a considerable literature on phenomena such as diffusion mechanisms, virality, cascade prediction, and peer network effects. However, a basic question has received comparatively little attention: how desirable are cascades on a social media platform from the point of view of users? While versions of this question have been considered from the perspective of the producers of cascades, any answer to this question must also take into account the effect of cascades on their audience. In this work, we seek to fill this gap by providing a consumer perspective of cascade. Users on online networks play the dual role of producers and consumers. First, we perform an empirical study of the interaction of Twitter users with retweet cascades. We measure how often users observe retweets in their home timeline, and observe a phenomenon that we term the "Impressions Paradox": the share of impressions for cascades of size k decays much slower than frequency of cascades of size k. Thus, the audience for cascades can be quite large even for rare large cascades. We also measure audience engagement with retweet cascades in comparison to non-retweeted content. Our results show that cascades often rival or exceed organic content in engagement received per impression. This result is perhaps surprising in that consumers didn't opt in to see tweets from these authors. Furthermore, although cascading content is widely popular, one would expect it to eventually reach parts of the audience that may not be interested in the content. Motivated by our findings, we posit a theoretical model that focuses on the effect of cascades on the audience. Our results on this model highlight the balance between retweeting as a high-quality content selection mechanism and the role of network users in filtering irrelevant content