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

Autarkes Transpondersystem

Im Rahmen des Projektes "Energieautarke Mikrosysteme" entstand ein digitaler ASIC für Transpondersysteme in den Frequenzbereichen 127 kHz, 434 MHz und 2.4 GHz. Der Algorithmus des ASICs ist so ausgelegt, daß er in allen genannten Frequenzbereichen Anwendung findet. Der Betriebsspannungsbereich beträgt 1.3 Volt bis 3 Volt. Ein spezielles Power- und Clockmanagement zielt auf minimalen Leistungsverbrauch. Als Unterprojekt entstand ein Analog-Digital-Wandler für low-Power-Anwendungen im genannten Betriebsspannungsbereich, der als embedded Variante zusammen mit einem 8 Bit Controller die Möglichkeit der Aufnahme bzw. Verarbeitung von Meßdaten bietet