Falun Gong: An Analysis of China\u27s National Security Concerns

The Chinese government\u27s brutal crackdown on the Falun Gong spiritual movement stands in marked contrast to its recent acknowledgement of its need to improve its human rights record and repeated avowals to take the legal steps necessary to conform with international human rights treaties. China\u27s leadership has attempted to justify the crackdown, citing both historical reasons and national security concerns. Analysis of China\u27s history demonstrates that repression of anti-government groups has only hardened their resistance. Similarly, the campaign against Falun Gong has failed to stop protests staged by the group\u27s followers. In fact, Falun Gong\u27s expressions of dissent have become increasingly defiant. The Chinese government\u27s policy of repression undermines true national security. Lifting the ban will help the Chinese government achieve its stated goals of protecting both China\u27s national security and the human rights of its citizens

Developing Cereal-Based Demand for Fertilizer among Smallholders in Southern Africa: Lessons Learned and Implications for Other African Regions

Crop Production/Industries, Downloads July 2008 - July 2009: 11,

Fertilizer Consumption Trends in Sub-Saharan Africa

Crop Production/Industries, Downloads December 2008 - July 2009: 12,

Alternative Approaches for Promoting Fertilizer Use in Africa, with Emphasis on the Role of Subsidies

Crop Production/Industries, Downloads December 2008 - June 2009: 5,

DETERMINANTS OF FERTILIZER ADOPTION BY AFRICAN FARMERS: POLICY ANALYSIS FRAMEWORK, ILLUSTRATIVE EVIDENCE, AND IMPLICATIONS

Crop Production/Industries,

Improving the Measurement and Analysis of African Agricultural Productivity: Promoting Complementarities between Micro and Macro Data

Productivity Analysis,

Promoting Farm Investment for Sustainable Intensification of African Agriculture

Farm Management, Downloads July 2008-July 2009: 9,

baySeq: empirical Bayesian methods for identifying differential expression in sequence count data.

BACKGROUND: High throughput sequencing has become an important technology for studying expression levels in many types of genomic, and particularly transcriptomic, data. One key way of analysing such data is to look for elements of the data which display particular patterns of differential expression in order to take these forward for further analysis and validation. RESULTS: We propose a framework for defining patterns of differential expression and develop a novel algorithm, baySeq, which uses an empirical Bayes approach to detect these patterns of differential expression within a set of sequencing samples. The method assumes a negative binomial distribution for the data and derives an empirically determined prior distribution from the entire dataset. We examine the performance of the method on real and simulated data. CONCLUSIONS: Our method performs at least as well, and often better, than existing methods for analyses of pairwise differential expression in both real and simulated data. When we compare methods for the analysis of data from experimental designs involving multiple sample groups, our method again shows substantial gains in performance. We believe that this approach thus represents an important step forward for the analysis of count data from sequencing experiments.RIGHTS : This article is licensed under the BioMed Central licence at http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'. In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are