The current study investigated factors associated with voluntary and involuntary readmissions to forensic hospitals 356 insanity acquittees on conditional release in the state of Maryland from 2007, 2008, and 2009 and monitored their community progress for a 3-year follow-up period. The results indicated that voluntarily readmitted insanity acquittees had fewer reported arrests on conditional release and fewer reported instances of non-compliance with treatment compared with insanity acquittees who were returned involuntarily to hospital. As expected, arrests and treatment non-compliance predicted involuntary readmission. A third group of insanity acquittees who were not readmitted on conditional release presented with numerous differences compared with voluntarily and involuntarily readmitted acquittees. These included a longer duration in the community prior to any psychiatric readmission and fewer community psychiatric admissions than both the voluntary and involuntary groups. Data from this study provide useful information on where community monitoring resources for insanity acquittees may best be allocated.
The Thirty Meter Telescope (TMT) first light instrument IRIS (Infrared Imaging Spectrograph) will complete its preliminary design phase in 2016. The IRIS instrument design includes a near-infrared (0.85 -2.4 micron) integral field spectrograph (IFS) and imager that are able to conduct simultaneous diffraction-limited observations behind the advanced adaptive optics system NFIRAOS. The IRIS science cases have continued to be developed and new science studies have been investigated to aid in technical performance and design requirements. In this development phase, the IRIS science team has paid particular attention to the selection of filters, gratings, sensitivities of the entire system, and science cases that will benefit from the parallel mode of the IFS and imaging camera. We present new science cases for IRIS using the latest end-to-end data simulator on the following topics: Solar System bodies, the Galactic center, active galactic nuclei (AGN), and distant gravitationally-lensed galaxies. We then briefly discuss the necessity of an advanced data management system and data reduction pipeline.
At IPAC/Caltech, we have developed the Firefly web archive and visualization system. Used in production for the last eight years in many missions, Firefly gives the scientist significant capabilities to study data. Firefly provided the first completely web based FITS viewer as well as a growing set of tabular and plotting visualizers. Further, it will be used for the science user interface of the LSST telescope which goes online in 2021. Firefly must meet the needs of archive access and visualization for the 2021 LSST telescope and must serve astronomers beyond the year 2030.Recently, our team has faced the fact that the technology behind Firefly software was becoming obsolete. We were searching for ways to utilize the current breakthroughs in maintaining stability, testability, speed, and reliability of large web applications, which Firefly exemplifies.In the last year, we have ported the Firefly to cutting edge web technologies. Embarking on this massive overhaul is no small feat to say the least. Choosing the technologies that will maintain a forward trajectory in a future development project is always hard and often overwhelming. When a team must port 150,000 lines of code for a production-level product there is little room to make poor choices. This paper will give an overview of the most modern web technologies and lessons learned in our conversion from GWT based system to React/Redux based system.
We present a novel real time multi camera system for tracking 3D position of a face in an office environment. The system uses a combination of low level and high level features for robust tracking of a face in two dimensional (2D) view of each camera. Then the 2D estimates are combined through Quality Threshold clustering to produce an estimate of the 3D position, which is fed back to the 2D trackers to correct any possible errors
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