What’s it worth to you? Applying risk tradeoff paradigms to explain user interactions with interruptive security messages

Attacks on information security continue to result in large losses for organizations. Oftentimes, the breaches occur because organizational insiders fail to adhere to commonplace system security messages. This could be because, faced with the challenges and time demands of everyday stressors, security policy compliance can be costly for individuals; security actions require time and distract attention from other primary tasks. To defend against these attacks, user interactions with security messages need to be better understood. This study reports the results of a 110-participant MTurk field study that examines user interactions with interruptive security messages through the lens of a risk tradeoff paradigm. First, a gap in the information security literature is identified, wherein findings about low security-message attention are contrasted against studies that assume attention and information processing. Three competing hypotheses are proposed that describe different patterns of risk analysis that users may engage in when interacting with an interruptive security message: (1) very little to no elaboration over the risk-taking decision due to perniciously low attention, (2) consistent security message risk-taking decision elaboration, and (3) a bimodal situation where elaboration depends on the information security risk-reward tradeoff balance. Multiple behavioral dependent variables are corroborated to support the third hypothesis, suggesting the existence of a bimodal risk tradeoff paradigm for user interactions with interruptive security messages. The relevance of the findings for research and practice are discussed

An asteroseismic membership study of the red giants in three open clusters observed by Kepler: NGC6791, NGC6819, and NGC6811

Studying star clusters offers significant advances in stellar astrophysics due to the combined power of having many stars with essentially the same distance, age, and initial composition. This makes clusters excellent test benches for verification of stellar evolution theory. To fully exploit this potential, it is vital that the star sample is uncontaminated by stars that are not members of the cluster. Techniques for determining cluster membership therefore play a key role in the investigation of clusters. We present results on three clusters in the Kepler field of view based on a newly established technique that uses asteroseismology to identify fore- or background stars in the field, which demonstrates advantages over classical methods such as kinematic and photometry measurements. Four previously identified seismic non-members in NGC6819 are confirmed in this study, and three additional non-members are found -- two in NGC6819 and one in NGC6791. We further highlight which stars are, or might be, affected by blending, which needs to be taken into account when analysing these Kepler data.Comment: 12 pages, 9 figures, 5 tables, accepted by Ap

Return to Fort Rock Cave: Assessing the Site\u27s Potential to Contribute to Ongoing Debates about how and when Humans Colonized the Great Basin

Oregon’s Fort Rock Cave is iconic in respect to both the archaeology of the northern Great Basin and the history of debate about when the Great Basin was colonized. In 1938, Luther Cressman recovered dozens of sagebrush bark sandals from beneath Mt. Mazama ash that were later radiocarbon dated to between 10,500 and 9350 cal B.P. In 1970, Stephen Bedwell reported finding lithic tools associated with a date of more than 15,000 cal B.P., a date dismissed as unreasonably old by most researchers. Now, with evidence of a nearly 15,000-year-old occupation at the nearby Paisley Five Mile Point Caves, we returned to Fort Rock Cave to evaluate the validity of Bedwell’s claim, assess the stratigraphic integrity of remaining deposits, and determine the potential for future work at the site. Here, we report the results of additional fieldwork at Fort Rock Cave undertaken in 2015 and 2016, which supports the early Holocene occupation, but does not confirm a pre–10,500 cal B.P. human presence

Gravity modes as a way to distinguish between hydrogen- and helium-burning red giant stars

Red giants are evolved stars that have exhausted the supply of hydrogen in their cores and instead burn hydrogen in a surrounding shell. Once a red giant is sufficiently evolved, the helium in the core also undergoes fusion. Outstanding issues in our understanding of red giants include uncertainties in the amount of mass lost at the surface before helium ignition and the amount of internal mixing from rotation and other processes. Progress is hampered by our inability to distinguish between red giants burning helium in the core and those still only burning hydrogen in a shell. Asteroseismology offers a way forward, being a powerful tool for probing the internal structures of stars using their natural oscillation frequencies. Here we report observations of gravity-mode period spacings in red giants that permit a distinction between evolutionary stages to be made. We use high-precision photometry obtained with the Kepler spacecraft over more than a year to measure oscillations in several hundred red giants. We find many stars whose dipole modes show sequences with approximately regular period spacings. These stars fall into two clear groups, allowing us to distinguish unambiguously between hydrogen-shell-burning stars (period spacing mostly about 50 seconds) and those that are also burning helium (period spacing about 100 to 300 seconds).Comment: to appear as a Letter to Natur

In search of phylogenetic congruence between molecular and morphological data in bryozoans with extreme adult skeletal heteromorphy

peerreview_statement: The publishing and review policy for this title is described in its Aims & Scope. aims_and_scope_url: http://www.tandfonline.com/action/journalInformation?show=aimsScope&journalCode=tsab20© Crown Copyright 2015. This document is the author's final accepted/submitted version of the journal article. You are advised to consult the publisher's version if you wish to cite from it

Examining smoking-induced differential gene expression changes in buccal mucosa

<p>Abstract</p> <p>Background</p> <p>Gene expression changes resulting from conditions such as disease, environmental stimuli, and drug use, can be monitored in the blood. However, a less invasive method of sample collection is of interest because of the discomfort and specialized personnel necessary for blood sampling especially if multiple samples are being collected. Buccal mucosa cells are easily collected and may be an alternative sample material for biomarker testing. A limited number of studies, primarily in the smoker/oral cancer literature, address this tissue's efficacy as an RNA source for expression analysis. The current study was undertaken to determine if total RNA isolated from buccal mucosa could be used as an alternative tissue source to assay relative gene expression.</p> <p>Methods</p> <p>Total RNA was isolated from swabs, reverse transcribed and amplified. The amplified cDNA was used in RT-qPCR and microarray analyses to evaluate gene expression in buccal cells. Initially, RT-qPCR was used to assess relative transcript levels of four genes from whole blood and buccal cells collected from the same seven individuals, concurrently. Second, buccal cell RNA was used for microarray-based differential gene expression studies by comparing gene expression between a group of female smokers and nonsmokers.</p> <p>Results</p> <p>An amplification protocol allowed use of less buccal cell total RNA (50 ng) than had been reported previously with human microarrays. Total RNA isolated from buccal cells was degraded but was of sufficient quality to be used with RT-qPCR to detect expression of specific genes. We report here the finding of a small number of statistically significant differentially expressed genes between smokers and nonsmokers, using buccal cells as starting material. Gene Set Enrichment Analysis confirmed that these genes had a similar expression pattern to results from another study.</p> <p>Conclusions</p> <p>Our results suggest that despite a high degree of degradation, RNA from buccal cells from cheek mucosa could be used to detect differential gene expression between smokers and nonsmokers. However the RNA degradation, increase in sample variability and microarray failure rate show that buccal samples should be used with caution as source material in expression studies.</p