Change Matters: Binge Drinking and Drugging Victimization over Time in Three College Freshman Cohorts

The “once bitten, twice shy” (OBTS) hypothesis argues that crime victims who change their involvement in risky lifestyle behaviors reduce their likelihood of experiencing repeat victimization. Tests of this hypothesis have yielded weak to mixed results, which may be due to methodological issues. We address these methodological issues by testing the OBTS hypothesis for repeat drugging victimization with survey data from a panel of three freshman cohorts at three large, public universities. Supportive of the OBTS hypothesis, the multivariate results show that, on average, those not drugged at Time 1 or Time 2 and those drugged at Time 1 and Time 2 increased the number of days they binge drank in the past month significantly more than those who were drugged at Time 1 only. Our findings have implications for both victimology theory and drugging prevention programming

Ultralight vector dark matter search using data from the KAGRA O3GK run

Among the various candidates for dark matter (DM), ultralight vector DM can be probed by laser interferometric gravitational wave detectors through the measurement of oscillating length changes in the arm cavities. In this context, KAGRA has a unique feature due to differing compositions of its mirrors, enhancing the signal of vector DM in the length change in the auxiliary channels. Here we present the result of a search for U(1)B−L gauge boson DM using the KAGRA data from auxiliary length channels during the first joint observation run together with GEO600. By applying our search pipeline, which takes into account the stochastic nature of ultralight DM, upper bounds on the coupling strength between the U(1)B−L gauge boson and ordinary matter are obtained for a range of DM masses. While our constraints are less stringent than those derived from previous experiments, this study demonstrates the applicability of our method to the lower-mass vector DM search, which is made difficult in this measurement by the short observation time compared to the auto-correlation time scale of DM

The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project

The PREDICTS project—Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)—has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity