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Washington State Surplus, Creating a Larger Return on Investment of Tax Payer Dollars

The topic of this study is Washington State vehicle surplus and whether a higher yield on tax payer investment in the purchase, sale and use of state motor vehicles can be achieved. The hypothesis that will be addressed is: Can Washington State create a higher return on investment from tax payer dollars by donating vehicles to automotive training programs? I explore this topic by asking, a) What is the current policy? b) What is the perception of automotive educators on that policy? c) What are the returns currently and could they be improved through policy change? The methodology for testing is by obtaining quantitative data from the state and other entities on vehicle purchases, costs, and responses to surveys by automotive educators in the state. Qualitative data will be explored in context to the policies, and education then incorporating it into a Cost/Benefit analysis on the return on investment to taxpayers.

Peace beyond the State? NGOs in Bosnia and Herzegovina

By examining the work of several NGOs in the context of post-conflict reconstruction in Bosnia and Herzegovina (BiH), this essay scrutinizes both the potential and limits of NGO contributions to peace-settlements and long-term stability. While their ability to specialize and reach the grassroots level is of great practical significance, the contribution of NGOs to the reconstruction of war-torn societies is often idealized. NGOs remain severely limited by ad hoc and project-specific funding sources, as well as by the overall policy environment in which they operate. Unless these underlying issues are addressed, NGOs will ultimately become little more than extensions of prevalent multilateral and state-based approaches to post-conflict reconstruction.

Mutation scanning analysis of Marteilia sydneyi populations from different geographical locations in eastern Australia

Marteilia sydneyi (Paramyxea) is the causative agent of QX disease in oysters. In spite of the economic impact of this disease, its origin and the precise reason(s) for its apparent spread in Australian waters are not yet known. Given such knowledge gaps, investigating the population genetic structure(s) of M. sydneyi populations could provide insights into the epidemiology and ecology of the parasite and could assist in its prevention and control. In this study, single strand conformation polymorphism (SSCP)-based analysis of a region (195 bp) of the first internal transcribed spacer (ITS-1) of ribosomal DNA was employed to investigate genetic variation within and among five populations of M. sydneyi from oysters from five different locations in eastern Australia. The analysis showed the existence of a genetic variant of M. sydneyi common to the Great Sandy Strait, and the Richmond and Georges Rivers, as distinct from variants at the Pimpama and Clarence Rivers. Together with historical and other information relating to the QX disease outbreaks in eastern Australia, the molecular findings support the proposal that the parasite originated in the Great Sandy Strait and/or Richmond River and then extended southward along the coast. From a technical perspective, the study demonstrated the usefulness of SSCP as a tool to study the population genetics and epidemiology of M. sydneyi. (C) 2003 Elsevier Ltd. All rights reserved.

Seizure detection algorithm for neonates based on wave-sequence analysis

Objective: The description and evaluation of the performance of a new real-time seizure detection algorithm in the newborn infant. Methods: The algorithm includes parallel fragmentation of EEG signal into waves; wave-feature extraction and averaging; elementary, preliminary and final detection. The algorithm detects EEG waves with heightened regularity, using wave intervals, amplitudes and shapes. The performance of the algorithm was assessed with the use of event-based and liberal and conservative time-based approaches and compared with the performance of Gotman's and Liu's algorithms. Results: The algorithm was assessed on multi-channel EEG records of 55 neonates including 17 with seizures. The algorithm showed sensitivities ranging 83-95% with positive predictive values (PPV) 48-77%. There were 2.0 false positive detections per hour. In comparison, Gotman's algorithm (with 30 s gap-closing procedure) displayed sensitivities of 45-88% and PPV 29-56%; with 7.4 false positives per hour and Liu's algorithm displayed sensitivities of 96-99%, and PPV 10-25%; with 15.7 false positives per hour. Conclusions: The wave-sequence analysis based algorithm displayed higher sensitivity, higher PPV and a substantially lower level of false positives than two previously published algorithms. Significance: The proposed algorithm provides a basis for major improvements in neonatal seizure detection and monitoring. Published by Elsevier Ireland Ltd. on behalf of International Federation of Clinical Neurophysiology.

Lineages of acidophilic archaea revealed by community genomic analysis

Novel, low-abundance microbial species can be easily overlooked in standard polymerase chain reaction (PCR)-based surveys. We used community genomic data obtained without PCR or cultivation to reconstruct DNA fragments bearing unusual 16S ribosomal RNA ( rRNA) and protein-coding genes from organisms belonging to novel archaeal lineages. The organisms are minor components of all biofilms growing in pH 0.5 to 1.5 solutions within the Richmond Mine, California. Probes specific for 16S rRNA showed that the fraction less than 0.45 micrometers in diameter is dominated by these organisms. Transmission electron microscope images revealed that the cells are pleomorphic with unusual folded membrane protrusions and have apparent volumes of < 0.006 cubic micrometer.