Understanding what works in the police management of child sex offenders in the community

Police are becoming increasingly responsible for monitoring convicted child sex offenders in the community. A Rapid Evidence Assessment was undertaken to capture ‘what works’ and what ‘shows promise’ in existing and emerging, innovative policing practices. A total of 920 searches were performed across five databases, spanning the last 5 years. After removal of duplicates and those that did not meet inclusion criteria, 61 articles were analysed. Two key strategies, with sub-strategies, emerged: (1) formalised, targeted management and (2) technology-assisted management. An adapted ‘EMMIE’ framework presents the ‘effects’, the overarching ‘mechanisms’ and ‘moderators’ of success, and ‘implementation’ considerations for effective practice.

Novel genome characteristics contribute to the invasiveness of Phragmites australis (common reed)

The rapid invasion of the non-native Phragmites australis (Poaceae, subfamily Arundinoideae) is a major threat to native ecosystems in North America. We describe a 1.14 Gbp reference genome for P. australis and compare invasive (ssp. australis) and native (ssp. americanus) genotypes collected across the Laurentian Great Lakes to deduce genomic bases driving its invasive success. We report novel genomic features including a lineage-specific whole genome duplication, followed by gene loss and preferential retention of genes associated with transcription factors and regulatory functions in the remaining duplicates. The comparative transcriptomic analyses revealed that genes associated with biotic stress and defense responses were expressed at a higher basal level in invasive genotypes, but the native genotypes showed a stronger induction of defense responses following fungal inoculation. The reference genome and transcriptomes, combined with previous ecological and environmental data, support the development of novel, genomics-assisted management approaches for invasive Phragmites.

Drone Assisted Robust Emergency Service Management for Elderly Chronic Disease

It is important to monitor the early screening of chronic diseases, predict the risk, and provide the comprehensive management of chronic diseases for the elderly. However, it is difficult to provide the robust and real-time emergency service for elderly chronic disease because of the complex social network and diversity of elderly chronic disease service. To address these issues, we design a new drone assisted robust emergency service system. We formulate the Drone assisted Management (DM) problem to minimize the total time cost of drone subject to all elderly chronic disease services which can be guaranteed exactly once by the drone under its energy constraint. Then, we propose the DRS algorithm to solve the DM problem. To provide the robust and real-time service, we further formulate the Charging driven Drone assisted Management (CDM) problem and present the CDRS algorithm to solve the CDM problem. Through the theoretical analysis and numerical simulation experiments, we demonstrate that DRS and CDRS can decrease the total time cost by 37.61% and increase the QoE by 112.80% through the designed system, respectively.