2,482 research outputs found

    A review of restorative justice responses to offending

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    Restorative justice has been enthusiastically embraced in many justice systems as an alternative to incarceration for young adult and Indigenous offenders. But how well does it work? Abstract The present review sought to determine on the available evidence (a) whether restorative justice (RJ) is an effective means of reducing re-offending, (b) what benefits victims of crime obtain from participation in the RJ process, (c) whether the public supports the principles of RJ, and (d) how the cost and efficiency of RJ proceedings compare with conventional courts in cost and efficiency (i.e. time taken to finalize cases). The review finds little reliable evidence that RJ reduces re-offending. Victims who participate in RJ are generally satisfied with the experience but it is unclear whether they are more satisfied than victims in similar cases that are dealt with in court. The limited evidence available suggests that the public supports the principles of RJ. It appears to be a less expensive and more efficient way of finalizing criminal cases involving young people but, once again, the evidence on this issue at this stage is rather limited. Evidence Base, issue 1, 201

    Taking Root: University of New Hampshire Stormwater Center 2017-2019 Triennial Report

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    Information Literacy: Models for the Curriculum

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    Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/93794/1/DB511011.pd

    AN IMPROVED INFILTRATION MODEL AND DESIGN SIZING APPROACH FOR STORMWATER BIORETENTION FILTERS INCLUDING ANISOTROPY AND INFILTRATION INTO NATIVE SOILS

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    Bioretention filters are a common Best Management Practice used to treat pollutants and water volumes of stormwater runoff from urbanized watersheds. The current static sizing criterium for new design applies Darcy’s law to the Water Quality Volume (WQV) as it filters through the bioretention soil media. In retrofit applications, the WQV is instantaneously stored in the system pore space, including the ponded surface. While these designs are simple to implement, the systems areas are oversized because no infiltration or other outflow is considered in the design. The retrofit bioretention study site for this research located in Dover, NH (HSBS) treats a 21.9 ac. suburban watershed with 38% impervious cover. The static design treatment rainfall for the HSBS was 0.16 inches. Monitored data yielded a mean peak discharge reduction and mean volume reduction of 62% and 35% with standard deviations of 25% and 37%, respectively. Of 45 observed storms with one-minute logging intervals, 67% of the events were fully treated and ponding did not exceed the designed elevation; 95% of these events were less than 1.27 inches. The static design rainfall was in the 5.4th percentile, almost 800% less than the largest observed treated storm with no bypass. The volume balance model developed in this study used a Green and Ampt approach for the vertical bottom and lateral sidewall infiltrations integrated over the duration of the event. The model requires basic watershed and climatic properties, design dimensions, and anisotropic native soil characteristics. Comparing estimates of bottomonly infiltration and the developed model to observed infiltrated volumes yielded mean errors of -79% and -8%, with RMSE of 3210 cu. ft. and 2650 cu. ft., respectively. On average, 39% of the total infiltrated volume occurred through the sidewalls. The retrofit treatment rainfall for the model was 0.52 inches. This was 225% larger than the current static design rainfall and was in the 49th percentile of the observed, treated events for HSBS, which was an improvement of 44% over the current static design

    Teaching the True Foundation of Information Literacy: Knowledge in the Information Society

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    Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/93799/1/DB511016.pd

    The Fantastic Life of Rock Stars

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    New Learning, New Scholarship, New Spaces: Creating Dynamic Physical Environments

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    Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/93792/1/DB511009.pd
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