Exoffender Accounts of Successful Reentry from Prison

Reentry research often focuses on those who have recidivated, with little work addressing the experiences of those who successfully reintegrate into their communities. This study examines individual accounts of successful transitions from prison to community in the months and years postrelease. Interview data point to three metanarratives used to make sense of reentry: as reverence, as reunification, and as reconstruction. In different ways, each narrative centers on connections to important others through faith, family, or community. We discuss the legitimacy of the self-narratives offered, and add to a growing body of work exploring reentry via the lens of the exoffender

Disentangling the Relationship Between Race and Attitudes Toward the Police: Police Contact, Perceptions of Safety, and Procedural Justice

Recent incidents involving police shootings of unarmed men of color have increased tensions between communities and police departments across the United States. In response, scholars have intensified efforts to understand the factors that shape attitudes toward the police. The current study examines individual and aggregate factors that influence satisfaction with the police. To this end, we address three research questions: (a) are there significant racial/ethnic differences in satisfaction with police; (b) do these differences persist after accounting for experiences with the police, perceptions of safety, and aggregate measures; and (c) can procedural justice help explain racial variation in attitudes toward the police? Study findings highlight the importance of perceptions of safety in explaining racial/ethnic variation in attitudes toward the police

Multisensor satellite data integration for sea surface wind speed and direction determination

Techniques to integrate meteorological data from various satellite sensors to yield a global measure of sea surface wind speed and direction for input to the Navy's operational weather forecast models were investigated. The sensors were launched or will be launched, specifically the GOES visible and infrared imaging sensor, the Nimbus-7 SMMR, and the DMSP SSM/I instrument. An algorithm for the extrapolation to the sea surface of wind directions as derived from successive GOES cloud images was developed. This wind veering algorithm is relatively simple, accounts for the major physical variables, and seems to represent the best solution that can be found with existing data. An algorithm for the interpolation of the scattered observed data to a common geographical grid was implemented. The algorithm is based on a combination of inverse distance weighting and trend surface fitting, and is suited to combing wind data from disparate sources

Studies of uncontrolled air traffic patterns, phase 1

The general aviation air traffic flow patterns at uncontrolled airports are investigated and analyzed and traffic pattern concepts are developed to minimize the midair collision hazard in uncontrolled airspace. An analytical approach to evaluate midair collision hazard probability as a function of traffic densities is established which is basically independent of path structure. Two methods of generating space-time interrelationships between terminal area aircraft are presented; one is a deterministic model to generate pseudorandom aircraft tracks, the other is a statistical model in preliminary form. Some hazard measures are presented for selected traffic densities. It is concluded that the probability of encountering a hazard should be minimized independently of any other considerations and that the number of encounters involving visible-avoidable aircraft should be maximized at the expense of encounters in other categories

Preliminary Results from NEOWISE: An Enhancement to the Wide-field Infrared Survey Explorer for Solar System Science

The Wide-field Infrared Survey Explorer (WISE) has surveyed the entire sky at four infrared wavelengths with greatly improved sensitivity and spatial resolution compared to its predecessors, the Infrared Astronomical Satellite and the Cosmic Background Explorer. NASA's Planetary Science Division has funded an enhancement to the WISE data processing system called "NEOWISE" that allows detection and archiving of moving objects found in the WISE data. NEOWISE has mined the WISE images for a wide array of small bodies in our solar system, including near-Earth objects (NEOs), Main Belt asteroids, comets, Trojans, and Centaurs. By the end of survey operations in 2011 February, NEOWISE identified over 157,000 asteroids, including more than 500 NEOs and ~120 comets. The NEOWISE data set will enable a panoply of new scientific investigations