Validation and reliability of the Modified Elderly Mobility Scale

Objective: To establish concurrent validity, interrater and test-retest reliability of the Modified Elderly Mobility Scale (MEMS). Methods: Ninety elderly patients were scored on the MEMS. To establish concurrent validity, 75 patients MEMS scores were compared to Functional Independence Measure (FIM) scores using Spearman's correlation. Videotaped patient performances were used to establish interrater and test-retest reliability using percentage absolute agreement and intraclass correlation coefficients (ICCs). Results: The total MEMS score demonstrated a significant association with the motor (r = 0.725) and total FIM scores (r = 0.718). Absolute agreement for interrater reliability was greater than 93% for all test items, with 97 and 98% for the two new measures, respectively. Test-retest reliability demonstrated similar high levels of absolute agreement and had ICCs ranging from 0.870 to 1.0. Conclusions: The MEMS is a quick, valid and reliable test of motor function of elderly patients with a spread of functional levels.

Population mobility and indigenous peoples in Australasia and North America

This book draws together relevant research findings to produce the first comprehensive overview of Indigenous peoples' mobility. Chapters draw from a range of disciplinary sources, and from a diversity of regions and nation-states. Within nations, mobility is the key determinant of local population change, with implications for service delivery, needs assessment, and governance. Mobility also provides a key indicator of social and economic transformation. As such, it informs both social theory and policy debate. For much of the twentieth century conventional wisdom anticipated the steady convergence of socio-demographic trends, seeing this as an inevitable concomitant of the development process. However, the patterns and trends in population movement observed in this book suggest otherwise, and provide a forceful manifestation of changing race relations in these new world settings. © 2009 Informa plc

BM+-tree: A hyperplane-based index method for high-dimensional metric spaces

In this paper, we propose a novel high-dimensional index method, the BM+-tree, to support efficient processing of similarity search queries in high-dimensional spaces. The main idea of the proposed index is to improve data partitioning efficiency in a high-dimensional space by using a rotary binary hyperplane, which further partitions a subspace and can also take advantage of the twin node concept used in the M+-tree. Compared with the key dimension concept in the M+-tree, the binary hyperplane is more effective in data filtering. High space utilization is achieved by dynamically performing data reallocation between twin nodes. In addition, a post processing step is used after index building to ensure effective filtration. Experimental results using two types of real data sets illustrate a significantly improved filtering efficiency.