Sex offenders and criminal recidivism: An exploratory trajectory analysis using a Virginia sample

ABSTRACT Several polices have been implemented in an effort to prevent sex offenders from recidivating. Many of these policies apply equally to all sex offenders, assuming that sex offenders are a homogenous group. Research has approached the study of sex offender recidivism rates similarly; not considering the possibility that sex offenders are comprised of distinct groups who have different risks of reoffending. The current study examines trajectories for a sample of sex offenders (N = 500) in Virginia and assesses the recidivism rates for each group. The results indicate three groups of offending paths exist. Subsequent analysis also revealed that sex offenders who follow a consistent path of sex offending are more likely to recidivate and commit violent, property, and drug offenses. A discussion of the implications of these findings is also presented

BioSimulators: a central registry of simulation engines and services for recommending specific tools

Computational models have great potential to accelerate bioscience, bioengineering, and medicine. However, it remains challenging to reproduce and reuse simulations, in part, because the numerous formats and methods for simulating various subsystems and scales remain siloed by different software tools. For example, each tool must be executed through a distinct interface. To help investigators find and use simulation tools, we developed BioSimulators (https://biosimulators.org), a central registry of the capabilities of simulation tools and consistent Python, command-line and containerized interfaces to each version of each tool. The foundation of BioSimulators is standards, such as CellML, SBML, SED-ML and the COMBINE archive format, and validation tools for simulation projects and simulation tools that ensure these standards are used consistently. To help modelers find tools for particular projects, we have also used the registry to develop recommendation services. We anticipate that BioSimulators will help modelers exchange, reproduce, and combine simulations

Modulation of the Hsp90 chaperone cycle by a stringent client protein.

Hsp90 is the most abundant molecular chaperone in the eukaryotic cell. One of the most stringent clients is the glucocorticoid receptor (GR), whose in vivo function strictly depends on the interaction with the Hsp90 machinery. However, the molecular mechanism of this interaction has been elusive. Here we have reconstituted the interaction of Hsp90 with hormone-bound GR using purified components. Our biochemical and structural analyses define the binding site for GR on Hsp90 and reveal that binding of GR modulates the conformational cycle of Hsp90. FRET experiments demonstrate that a partially closed form of the Hsp90 dimer is the preferred conformation for interaction. Consistent with this, the conformational cycle of Hsp90 is decelerated, and its ATPase activity decreases. Hsp90 cochaperones differentially affect formation of the Hsp90-GR complex, serving as control elements for cycle progression and revealing an intricate interplay of client and cochaperones as molecular modulators of the Hsp90 machine