The aim of this study was to determine whether the Self-Appraisal Questionnaire (SAQ), a tool that was found to be reliable and valid for assessing violent and nonviolent recidivism and institutional adjustment for Canadian offenders, would also be valid for the same purposes with a demographically different population of North Carolina offenders. The internal consistency alphas and SAQ total and subscale scores' correlations were high. Offenders with high SAQ total scores had significantly more violent offenses, had more total number of past offenses, had higher numbers of past arrests, and had more institutional infractions than those with low SAQ scores. There were no significant differences between the responses of the African American and Caucasian offenders on the SAQ scales. These results support previous findings regarding the reliability and validity of the SAQ for assessing recidivism and institutional adjustment and suggest that the SAQ could be used with diverse populations.
Cloud computing providers have recently begun to offer high-performance virtualized flash storage and virtualized network I/O capabilities, which have the potential to increase application performance. Since users pay for only the resources they use, these new resources have the potential to lower overall cost. Yet achieving low cost requires choosing the right mixture of resources, which is only possible if their performance and scaling behavior is known.In this paper, we present a systematic measurement of recently introduced virtualized storage and network I/O within Amazon Web Services (AWS). Our experience shows that there are scaling limitations in clusters relying on these new features. As a result, provisioning for a large-scale cluster differs substantially from small-scale deployments. We describe the implications of this observation for achieving efficiency in large-scale cloud deployments. To confirm the value of our methodology, we deploy cost-efficient, highperformance sorting of 100 TB as a large-scale evaluation.
We present TritonSort, a highly efficient, scalable sorting system. It is designed to process large datasets, and has been evaluated against as much as 100TB of input data spread across 832 disks in 52 nodes at a rate of 0.938TB/min. When evaluated against the annual Indy GraySort sorting benchmark, TritonSort is 66% better in absolute performance and has over six times the per-node throughput of the previous record holder. When evaluated against the 100TB Indy JouleSort benchmark, TritonSort sorted 9703 records/Joule. In this article, we describe the hardware and software architecture necessary to operate TritonSort at this level of efficiency. Through careful management of system resources to ensure cross-resource balance, we are able to sort data at approximately 80% of the disks’ aggregate sequential write speed.
We believe the work holds a number of lessons for balanced system design and for scale-out architectures in general. While many interesting systems are able to scale linearly with additional servers, per-server performance can lag behind per-server capacity by more than an order of magnitude. Bridging the gap between high scalability and high performance would enable either significantly less expensive systems that are able to do the same work or provide the ability to address significantly larger problem sets with the same infrastructure.
The Self-Appraisal Questionnaire (SAQ) is a 72-item self-report measure designed to predict violent and nonviolent recidivism among adult criminal offenders. The results from using samples from Australia, Canada, England, Singapore, and two samples from the United States (North Carolina and Pennsylvania) indicated that (a) the SAQ has sound psychometric properties, with acceptable reliability and concurrent validity for assessing recidivism and institutional adjustment; (b) there were no significant differences among the scores of the White, African American, Hispanic, and Aboriginal Australian offenders on the SAQ; (c) there were no significant differences among offenders who completed the SAQ for research purposes versus offenders who completed it as part of a decision-making process. Results provided support for the validity of the SAQ to be used with the culturally diverse offenders involved in this research and provided further evidence that contradicts concerns that the SAQ as a self-report measure may be susceptible to lying, and self-presentation biases.
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