胆小鬼
发表于 2025-3-30 08:44:08
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吵闹
发表于 2025-3-30 16:28:08
Anne Lemonne,Inge Vanfraechemd algorithms. Both algorithms are evaluated via comprehensive experiments and compared with existing best-known approaches. The experiments reveal that our proposed approaches outperform the existing methods.
Immunotherapy
发表于 2025-3-30 18:21:14
Juvenile Offenders and the Legal System: What We Have Learned from Victim-Offender Mediationre inherent constraints to generalized restorative practice (e.g., voluntariness of participation), and that it would be both naïve and inappropriate to expect such generalized practice, it seems safe to assume that in the coming years Europe will witness further promotion and development of VOM and RJ practices.
In-Situ
发表于 2025-3-30 22:39:03
Victim-Offender Mediation with Juveniles in Polandasis to carry out VOM, it is not easy to develop it in practice. A lot has been achieved, but it is clear that there is a continuous need to promote, explain, encourage and, of course, evaluate mediation practice. Therefore there is a need to create systems of data collection and evaluation. The mos
指令
发表于 2025-3-31 02:43:21
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秘密会议
发表于 2025-3-31 06:22:37
Victim-Offender Mediation with Juveniles in Luxembourgted to the promotion of the first restorative justice practices in Luxembourg. Today, VOM is an established process in the juvenile justice system, even if it operates without a legal framework. Based on the past experiences, VOM with juveniles should be formally introduced in the juvenile justice s
GLOOM
发表于 2025-3-31 11:21:15
Victim-Offender Mediation and Conferencing with Juvenile Offenders in the Netherlandsing forms of mediation and restoration, we conclude that, although VOM was introduced in the Netherlands a few years before conferencing, conferencing is generally preferred in cases involving juvenile offenders. There are only two local experiments conducting VOM exclusively with juvenile offenders
怎样才咆哮
发表于 2025-3-31 16:07:03
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Rustproof
发表于 2025-3-31 20:30:14
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轨道
发表于 2025-3-31 22:32:24
Anna Mestitz-dimensional standard categorical datasets, on which it produces more accurate results than other algorithms. We present a faster simplification of HIERDENC called the MULIC algorithm. MULIC performs better than subspace clustering algorithms in terms of finding the multi-layered structure of special datasets.