A Multilevel Analysis of Registered Sex Offender Violation Status: The Role of Neighborhood Disadvantage and Social Services

This research attempted to clarify the determinants of registered sex offender violations using individual-level and contextual characteristics under social disorganization theory. Data on registered sex offenders in Fresno County, CA and census data were analyzed to examine the influences of offender characteristics, neighborhood disadvantage, and accessibility to social services on violation risks. Multilevel logistic regression models indicated that those offenders living in disadvantaged neighborhoods faced a higher risk of registration violations, while such an effect was mitigated by the accessibility to social services. Based on the findings, policy implications of social services as a protective factor and strategic management of the registration policies were discussed

Self-control, differential association, and gang membership: A theoretical and empirical extension of the literature

Using data gathered from a sample of two hundred jail inmates housed in a large California city, this research extends the still nascent literature on the self-control/gang membership association. The article begins by first articulating more comprehensively than earlier research Gottfredson and Hirschi's theoretical justification for expecting a self-control/gang membership link. Next, an examination is undertaken of the relative independent influences on gang membership of self-control and a series of measures, derived from differential association theory, that mainly tap familial gang involvement. On the whole, logistic regression models suggested that self-control exerted an effect on gang membership that was almost entirely independent of, but also modest in comparison to, familial gang involvement effects, although the results also indicated the insignificance of self-control upon controlling for a series of differential association measures. Finally, theoretical implications of the findings and suggestions for future research are offered.

Coronal Heating as Determined by the Solar Flare Frequency Distribution Obtained by Aggregating Case Studies

Flare frequency distributions represent a key approach to addressing one of the largest problems in solar and stellar physics: determining the mechanism that counter-intuitively heats coronae to temperatures that are orders of magnitude hotter than the corresponding photospheres. It is widely accepted that the magnetic field is responsible for the heating, but there are two competing mechanisms that could explain it: nanoflares or Alfv\'en waves. To date, neither can be directly observed. Nanoflares are, by definition, extremely small, but their aggregate energy release could represent a substantial heating mechanism, presuming they are sufficiently abundant. One way to test this presumption is via the flare frequency distribution, which describes how often flares of various energies occur. If the slope of the power law fitting the flare frequency distribution is above a critical threshold, $\alpha=2$ as established in prior literature, then there should be a sufficient abundance of nanoflares to explain coronal heating. We performed $>$600 case studies of solar flares, made possible by an unprecedented number of data analysts via three semesters of an undergraduate physics laboratory course. This allowed us to include two crucial, but nontrivial, analysis methods: pre-flare baseline subtraction and computation of the flare energy, which requires determining flare start and stop times. We aggregated the results of these analyses into a statistical study to determine that $\alpha = 1.63 \pm 0.03$. This is below the critical threshold, suggesting that Alfv\'en waves are an important driver of coronal heating.Comment: 1,002 authors, 14 pages, 4 figures, 3 tables, published by The Astrophysical Journal on 2023-05-09, volume 948, page 7