Global Capitalism Theory and the Emergence of Transnational Elites

The class and social structure of developing nations has undergone profound transformation in recent decades as each nation has incorporated into an increasingly integrated global production and financial system. National elites have experienced a new fractionation. Emergent transnationally-oriented elites grounded in globalized circuits of accumulation compete with older nationally-oriented elites grounded in more protected and often state-guided national and regional circuits. This essay focuses on structural analysis of the distinction between these two fractions of the elite and the implications for development. I suggest that nationally-oriented elites are often dependent on the social reproduction of at least a portion of the popular and working classes for the reproduction of their own status, and therefore on local development processes however so defined whereas transnationally-oriented elites are less dependent on such local social reproduction. The shift in dominant power relations from nationally- to transnationally-oriented elites is reflected in a concomitant shift to a discourse from one that defines development as national industrialization and expanded consumption to one that defines it in terms of global market integration

Reproducible Cancer Biomarker Discovery in SELDI-TOF MS Using Different Pre-Processing Algorithms

BACKGROUND: There has been much interest in differentiating diseased and normal samples using biomarkers derived from mass spectrometry (MS) studies. However, biomarker identification for specific diseases has been hindered by irreproducibility. Specifically, a peak profile extracted from a dataset for biomarker identification depends on a data pre-processing algorithm. Until now, no widely accepted agreement has been reached. RESULTS: In this paper, we investigated the consistency of biomarker identification using differentially expressed (DE) peaks from peak profiles produced by three widely used average spectrum-dependent pre-processing algorithms based on SELDI-TOF MS data for prostate and breast cancers. Our results revealed two important factors that affect the consistency of DE peak identification using different algorithms. One factor is that some DE peaks selected from one peak profile were not detected as peaks in other profiles, and the second factor is that the statistical power of identifying DE peaks in large peak profiles with many peaks may be low due to the large scale of the tests and small number of samples. Furthermore, we demonstrated that the DE peak detection power in large profiles could be improved by the stratified false discovery rate (FDR) control approach and that the reproducibility of DE peak detection could thereby be increased. CONCLUSIONS: Comparing and evaluating pre-processing algorithms in terms of reproducibility can elucidate the relationship among different algorithms and also help in selecting a pre-processing algorithm. The DE peaks selected from small peak profiles with few peaks for a dataset tend to be reproducibly detected in large peak profiles, which suggests that a suitable pre-processing algorithm should be able to produce peaks sufficient for identifying useful and reproducible biomarkers

Labour in Global Production: Reflections on Coxian Insights in a World of Global Value Chains

This essay reflects on Robert W. Cox’s work on global production, labour and labour governance, and considers how his insights might illuminate the present conjuncture for labour in production. I work with an understanding of that conjuncture as involving the rise to pre-eminence of global production networks (GPNs) and global value chains (GVCs) as the contemporary expression of the ongoing globalization of production. The primary tasks of the essay are two-fold: first, to explore the dynamics of labour and power in the GVC-based global economy, with a particular emphasis on labour exploitation; and second, to link these questions to those of the governance of the global economy, focusing on the shift towards transnational private governance as the dominant mode of contemporary governance, and on the evolving strategies of organized labour and the International Labour Organization in that context

Development of a Low Cost Asphalt-Rubber Membrane for Water Harvesting Catchments and Reservoir Seepage Control

Project Completion Report OWRT Project No. A-075-ARIZ / Agreement No. 14-34-0001-7006 / Project Dates: July 1976 - June 1977"The work upon which this report is based was supported by funds provided by the United States Department of the Interior, Office of Water Research and Technology as authorized under the Water Resources Research Act of 1964, the State of Arizona, and the Arizona Department of Transportation and Federal Highway Administratio

The Flora Incognita app – Interactive plant species identification

Being able to identify plant species is an important factor for understanding biodiversity and its change due to natural and anthropogenic drivers. We discuss the freely available Flora Incognita app for Android, iOS and Harmony OS devices that allows users to interactively identify plant species and capture their observations. Specifically developed deep learning algorithms, trained on an extensive repository of plant observations, classify plant images with yet unprecedented accuracy. By using this technology in a context-adaptive and interactive identification process, users are now able to reliably identify plants regardless of their botanical knowledge level. Users benefit from an intuitive interface and supplementary educational materials. The captured observations in combination with their metadata provide a rich resource for researching, monitoring and understanding plant diversity. Mobile applications such as Flora Incognita stimulate the successful interplay of citizen science, conservation and education