1,153 research outputs found

    Analysis of the thermomechanical inconsistency of some extended hydrodynamic models at high Knudsen number

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    There are some hydrodynamic equations that, while their parent kinetic equation satisfies fundamental mechanical properties, appear themselves to violate mechanical or thermodynamic properties. This article aims to shed some light on the source of this problem. Starting with diffusive volume hydrodynamic models, the microscopic temporal and spatial scales are first separated at the kinetic level from the macroscopic scales at the hydrodynamic level. Then we consider Klimontovich’s spatial stochastic version of the Boltzmann kinetic equation, and show that, for small local Knudsen numbers, the stochastic term vanishes and the kinetic equation becomes the Boltzmann equation. The collision integral dominates in the small local Knudsen number regime, which is associated with the exact traditional continuum limit. We find a sub-domain of the continuum range which the conventional Knudsen number classification does not account for appropriately. In this sub-domain, it is possible to obtain a fully mechanically-consistent volume (or mass) diffusion model that satisfies the second law of thermodynamics on the grounds of extended non-local-equilibrium thermodynamics

    Mapping the Coverage of Security Controls in Cyber Insurance Proposal Forms

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    Policy discussions often assume that wider adoption of cyber insurance will promote information security best practice. However, this depends on the process that applicants need to go through to apply for cyber insurance. A typical process would require an applicant to fill out a proposal form, which is a self-assessed questionnaire. In this paper, we examine 24 proposal forms, offered by insurers based in the UK and the US, to determine which security controls are present in the forms. Our aim is to establish whether the collection of security controls mentioned in the analysed forms corresponds to the controls defined in ISO/IEC 27002 and the CIS Critical Security Controls; these two control sets are generally held to be best practice. This work contains a novel research direction as we are the first to systematically analyse cyber insurance proposal forms. Our contributions include evidence regarding the assumption that the insurance industry will promote security best practice. To address the problem of adverse selection, we suggest the number of controls that proposal forms should include to be in alignment with the two information security frameworks. Finally, we discuss the incentives that could lead to this disparity between insurance practice and information security best practice, emphasising the importance of information security economics in studying cyber insurance

    Local Benchmarks for the Evolution of Major-Merger Galaxies -- Spitzer Observations of a K-Band Selected Sample

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    We present Spitzer observations for a sample of close major-merger galaxy pairs (KPAIR sample) selected from 2MASS/SDSS-DR3 cross-matches. The goals are to study the star formation activity in these galaxies and to set a local bench mark for the cosmic evolution of close major mergers. The Spitzer KPAIR sample (27 pairs, 54 galaxies) includes all spectroscopically confirmed S+S and S+E pairs in a parent sample that is complete for primaries brighter than K=12.5 mag, projected separations of 5< s < 20 kpc/h, and mass ratios<2.5. The Spitzer data consist of images in 7 bands (3.6, 4.5, 5.8, 8, 24, 70, 160 um). Compared to single spiral galaxies in a control sample, only spiral galaxies in S+S pairs show significantly enhanced specific star formation rate (sSFR=SFR/M), whereas spiral galaxies in S+E pairs do not. Furthermore, the SFR enhancement of spiral galaxies in S+S pairs is highly mass-dependent. Only those with \rm M \gsim 10^{10.5} M_\sun show significant enhancement. Relatively low mass (\rm M \sim 10^{10} M_\sun) spirals in S+S pairs have about the same SFR/M compared to their counterparts in the control sample. There is evidence for a correlation between the global star formation activities (but not the nuclear activities) of the component galaxies in massive S+S major-merger pairs (the "Holmberg effect"). There is no significant difference in the SFR/M between the primaries and the secondaries, nor between spirals of SEP<1 and those of SEP.1. The contribution of KPAIR galaxies to the cosmic SFR density in the local universe is only 1.7%.Comment: 73 pages; accpected by Ap

    Academic and non-academic predictors of student psychological distress: the role of social identity and loneliness

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    Background: University students experience high rates of stress and mental illness; however, few studies have comprehensively examined the impact of academic and non-academic stressors on student mental health. Similarly, there has been little focus on the role of social groups in protecting against mental distress in this young adult group. Aim: To identify the key social determinants of mental health symptoms in a student population. Methods: Using an online survey, we administered measures of social connectedness and mental health symptoms alongside academic and non-academic stressors to a large sample of UK university students. Results: Loneliness was the strongest overall predictor of mental distress, while assessment stress was the most important academic predictor. Strong identification with university friendship groups was most protective against distress relative to other social identities, and the beneficial impact of identification on symptoms was mediated by reduced loneliness. Conclusions: The study highlights the benefits of establishing strong social connections at university and the importance of minimising stress associated with assessment tasks

    Rare Copy Number Variants in \u3cem\u3eNRXN1\u3c/em\u3e and \u3cem\u3eCNTN6\u3c/em\u3e Increase Risk for Tourette Syndrome

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    Tourette syndrome (TS) is a model neuropsychiatric disorder thought to arise from abnormal development and/or maintenance of cortico-striato-thalamo-cortical circuits. TS is highly heritable, but its underlying genetic causes are still elusive, and no genome-wide significant loci have been discovered to date. We analyzed a European ancestry sample of 2,434 TS cases and 4,093 ancestry-matched controls for rare (\u3c 1% frequency) copy-number variants (CNVs) using SNP microarray data. We observed an enrichment of global CNV burden that was prominent for large (\u3e 1 Mb), singleton events (OR = 2.28, 95% CI [1.39–3.79], p = 1.2 × 10−3) and known, pathogenic CNVs (OR = 3.03 [1.85–5.07], p = 1.5 × 10−5). We also identified two individual, genome-wide significant loci, each conferring a substantial increase in TS risk (NRXN1 deletions, OR = 20.3, 95% CI [2.6–156.2]; CNTN6 duplications, OR = 10.1, 95% CI [2.3–45.4]). Approximately 1% of TS cases carry one of these CNVs, indicating that rare structural variation contributes significantly to the genetic architecture of TS

    Genetic Mapping of Multiple Metabolic Traits Identifies Novel Genes for Adiposity, Lipids and Insulin Secretory Capacity in Outbred Rats

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    Despite the successes of human genome-wide association studies, the causal genes underlying most metabolic traits remain unclear. We used outbred heterogeneous stock (HS) rats, coupled with expression data and mediation analysis, to identify quantitative trait loci (QTLs) and candidate gene mediators for adiposity, glucose tolerance, serum lipids, and other metabolic traits. Physiological traits were measured in 1519 male HS rats, with liver and adipose transcriptomes measured in over 410 rats. Genotypes were imputed from low coverage whole genome sequence. Linear mixed models were used to detect physiological and expression QTLs (pQTLs and eQTLs, respectively), employing both SNP- and haplotype-based models for pQTL mapping. Genes with cis-eQTLs that overlapped pQTLs were assessed as causal candidates through mediation analysis. We identified 14 SNP-based pQTLs and 19 haplotype-based pQTLs, of which 10 were in common. Using mediation, we identified the following genes as candidate mediators of pQTLs: Grk5 for a fat pad weight pQTL on Chr1, Krtcap3 for fat pad weight and serum lipids pQTLs on Chr6, Ilrun for a fat pad weight pQTL on Chr20 and Rfx6 for a whole pancreatic insulin content pQTL on Chr20. Furthermore, we verified Grk5 and Ktrcap3 using gene knock-down/out models, thereby shedding light on novel regulators of obesity
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