10,309 research outputs found

    Safer Streets: Cutting Repeat Crimes by Juvenile Offenders.

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    FIGHT CRIME: INVEST IN KIDS is an anti-crime organization led by more than 3,500 law enforcement leaders -- chiefs, sheriffs and prosecutors -- and survivors of crime. Most of the survivors are parents of murdered children. Crime requires punishment. Punishment may be placing a young offender in custody, or, depending on the crime, imposing a range of other tough sanctions. The bottom line is that residents must be safe walking the streets. Research shows, however, that punishment alone will often not be enough; troubled teens will need help to stop their aggression, substance abuse, or other anti-social behaviors. It is usually not too late to change anti-social patterns of behavior. Sanctions that include strict and effective interventions can direct anti-social and dangerous juveniles onto a different path that will make Americans safer

    A Comparison and Strategy of Semantic Segmentation on Remote Sensing Images

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    In recent years, with the development of aerospace technology, we use more and more images captured by satellites to obtain information. But a large number of useless raw images, limited data storage resource and poor transmission capability on satellites hinder our use of valuable images. Therefore, it is necessary to deploy an on-orbit semantic segmentation model to filter out useless images before data transmission. In this paper, we present a detailed comparison on the recent deep learning models. Considering the computing environment of satellites, we compare methods from accuracy, parameters and resource consumption on the same public dataset. And we also analyze the relation between them. Based on experimental results, we further propose a viable on-orbit semantic segmentation strategy. It will be deployed on the TianZhi-2 satellite which supports deep learning methods and will be lunched soon.Comment: 8 pages, 3 figures, ICNC-FSKD 201

    The challenge of evaluating pain and a pre-incisional local anesthetic block.

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    Background. Our objective was to test the effectiveness of a local anesthetic line block administered before surgery in reducing postoperative pain scores in dogs undergoing ovariohysterectomy (OVHX). Methods. This study is a prospective, randomized, blinded, clinical trial involving 59 healthy female dogs. An algometric pressure-measuring device was used to determine nociceptive threshold, and compared to three subjective pain scales. Group L/B received a line block of lidocaine (4 mg/kg) and bupivacaine (1 mg/kg) subcutaneously in the area of the incision site and saline subcutaneously as premedication; group L/BM (positive control) received a similar block and morphine (0.5 mg/kg) subcutaneously for premedication; and group SS (negative control) received a saline line block and saline premedication. Criteria for rescue analgesia were defined before the study. Dogs were assessed prior to surgery, at extubation (time 0) and at 2, 4, 6, 8 and 24 h post-recovery. The data were analyzed with one-way ANOVA, and a Split Plot Repeated Measures ANOVA with one grouping factor and one repeat factor (time). P < 0.05 was considered statistically significant. Results. Approximately 33% of dogs required rescue analgesia at some point during the study, with no significant difference between groups. There was no significant difference between treatment groups with any assessment method. Conclusions. As there were no statistically significant differences between positive and negative controls, the outcome of this technique cannot be proven
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