Inmate to Citizen: Using Person-Centered Practices to Facilitate the Successful Re-entry of Inmates with Special Needs into Community Membership Roles – Module III

Making Community Connections. Module 3 deepens the learning participants acquired in the previous core trainings by advancing the concepts of community beyond the typical surface approach to making community connections. Participants learn and apply methods of Asset-Based Community Development to the drafting of a preliminary transition plan that integrates the development of a positive profile with the identification of potential community roles that are the respected and valued contributions of citizens. Strategies for teaching participants how to identify critical planning partners to expand the network for effective transition services completes this module in the series

Community detection in complex networks using Extremal Optimization

We propose a novel method to find the community structure in complex networks based on an extremal optimization of the value of modularity. The method outperforms the optimal modularity found by the existing algorithms in the literature. We present the results of the algorithm for computer simulated and real networks and compare them with other approaches. The efficiency and accuracy of the method make it feasible to be used for the accurate identification of community structure in large complex networks.Comment: 4 pages, 4 figure

Accuracy and Precision of Methods for Community Identification in Weighted Networks

Based on brief review of approaches for community identification and measurement for sensitivity characterization, the accuracy and precision of several approaches for detecting communities in weighted networks are investigated. In weighted networks, the community structure should take both links and link weights into account and the partition of networks should be evaluated by weighted modularity $Q^w$. The results reveal that link weight has important effects on communities especially in dense networks. Potts model and Weighted Extremal Optimization (WEO) algorithm work well on weighted networks. Then Potts model and WEO algorithms are used to detect communities in Rhesus monkey network. The results gives nice understanding for real community structure.Comment: 14 pages, 15 figure

"I’ve been there, done that…" : a study of youth gang desistance

This article, based on research conducted in Glasgow, Scotland, analyses the complex process of desistance from youth gangs. The discussion is multifaceted focusing on the agency of the young people themselves as well as on how relationships within their local community can have a role in replacing their previous identification as gang members. It explores what is meant by a youth gang, why some young people stop identifying with the youth gang and argues that the local community and broader society have a role in providing social recognition and identity-enhancement opportunities for these young people

From aptamer-based biomarker discovery to diagnostic and clinical applications: an aptamer-based, streamlined multiplex proteomic assay

Recently, we reported an aptamer-based, highly multiplexed assay for the purpose of biomarker identification. To enable seamless transition from highly multiplexed biomarker discovery assays to a format suitable and convenient for diagnostic and life-science applications, we developed a streamlined, plate-based version of the assay. The plate-based version of the assay is robust, sensitive (sub-picomolar), rapid, can be highly multiplexed (upwards of 60 analytes), and fully automated. We demonstrate that quantification by microarray-based hybridization, Luminex bead-based methods, and qPCR are each compatible with our platform, further expanding the breadth of proteomic applications for a wide user community