The curriculum of religious education in the junior and senior middle schools in China

Thesis (M.A.)--Boston Universit

Adaptive Ttwo-phase spatial association rules mining method

Since huge amounts of spatial data can be easily collected from various applications, ranging from remote sensing technology to geographical information system, the extraction and comprehension of spatial knowledge is a more and more important task. Many excellent studies on Remote Sensed Image (RSI) have been conducted for potential relationships of crop yield. However, most of them suffer from the performance problem because their techniques for mining association rules are based on Apriori algorithm. In this paper, two efficient algorithms, two-phase spatial association rules mining and adaptive two-phase spatial association rules mining, are proposed for address the above problem. Both methods primarily conduct two phase algorithms by creating Histogram Generators for fast generating coarse-grained spatial association rules, and further mining the fine-grained spatial association rules w.r.t the coarse-grained frequently patterns obtained in the first phase. Adaptive two-phase spatial association rules mining method conducts the idea of partition on an image for efficiently quantizing out non-frequent patterns and thus facilitate the following two phase process. Such two-phase approaches save much computations and will be shown by lots of experimental results in the paper.Facultad de Informátic

Darwinism’s Applications in Modern Chinese Writings

The core aim of this interdisciplinary research is to provide a critical analysis of the influence of Darwinism and Social Darwinism on a sample of modern Chinese writings. To achieve these aims, the researcher uses a range of both Chinese and English sources to explore their close affinities with Darwinism and Social Darwinism. Following this course, the research examines how Darwinian thought was introduced to the Chinese reading public in the late nineteenth century through a translation of Thomas Henry Huxley’s Evolution and Ethics by Yen Fu, and the subsequent impact of this work and Darwinian thought in general on seven literary and political figures: K'ang Yu-wei, Liang Qichao, Lu Xun, Hu Shih, Chen Duxiu, Sun Yat-sen and Mao Zedong. From an historical perspective, the Opium Wars and imperial invasions of China in the nineteenth century severely weakened the country’s political, economic, diplomatic, military, educational and cultural power. For these reasons and others, from 1840 to 1949, China experienced a tumultuous period of social and political transformation, which has eventually led to her revival in the twenty-first century. It will be seen that each of the literary figures examined here used evolutionary thought to justify revolution at various points on China’s long march to modernity. Progressive Darwinian ideas sharply contrasted with the old Confucian values upheld within Chinese communities. Nevertheless, the faults and weaknesses of Qing China awakened many pioneering revolutionaries who sought to reverse the status quo by initiating a series of radical reforms and revolutionary movements. Many within the Chinese intellectual elite looked to the tide of change and progress coming from the West, which they hoped might replace the recent historical stagnation and Confucian dogma embedded in Chinese culture and society. In this vein, many of these pioneering revolutionaries set about driving the historical transformation of China by selecting, translating and interpreting Darwinian ideas in their own writings. From Yen Fu in the nineteenth century to Mao Zedong in the twentieth century, evolutionary thought went hand in hand with China’s modernization

A comprehensive network and pathway analysis of candidate genes in major depressive disorder

<p>Abstract</p> <p>Background</p> <p>Numerous genetic and genomic datasets related to complex diseases have been made available during the last decade. It is now a great challenge to assess such heterogeneous datasets to prioritize disease genes and perform follow up functional analysis and validation. Among complex disease studies, psychiatric disorders such as major depressive disorder (MDD) are especially in need of robust integrative analysis because these diseases are more complex than others, with weak genetic factors at various levels, including genetic markers, transcription (gene expression), epigenetics (methylation), protein, pathways and networks.</p> <p>Results</p> <p>In this study, we proposed a comprehensive analysis framework at the systems level and demonstrated it in MDD using a set of candidate genes that have recently been prioritized based on multiple lines of evidence including association, linkage, gene expression (both human and animal studies), regulatory pathway, and literature search. In the network analysis, we explored the topological characteristics of these genes in the context of the human interactome and compared them with two other complex diseases. The network topological features indicated that MDD is similar to schizophrenia compared to cancer. In the functional analysis, we performed the gene set enrichment analysis for both Gene Ontology categories and canonical pathways. Moreover, we proposed a unique pathway crosstalk approach to examine the dynamic interactions among biological pathways. Our pathway enrichment and crosstalk analyses revealed two unique pathway interaction modules that were significantly enriched with MDD genes. These two modules are neuro-transmission and immune system related, supporting the neuropathology hypothesis of MDD. Finally, we constructed a MDD-specific subnetwork, which recruited novel candidate genes with association signals from a major MDD GWAS dataset.</p> <p>Conclusions</p> <p>This study is the first systematic network and pathway analysis of candidate genes in MDD, providing abundant important information about gene interaction and regulation in a major psychiatric disease. The results suggest potential functional components underlying the molecular mechanisms of MDD and, thus, facilitate generation of novel hypotheses in this disease. The systems biology based strategy in this study can be applied to many other complex diseases.</p

IsaB Inhibits Autophagic Flux to Promote Host Transmission of Methicillin-Resistant Staphylococcus aureus.

Methicillin-resistant Staphylococcus aureus (MRSA) has emerged as a major nosocomial pathogen that is widespread in both health-care facilities and in the community at large, as a result of direct host-to-host transmission. Several virulence factors are associated with pathogen transmission to naive hosts. Immunodominant surface antigen B (IsaB) is a virulence factor that helps Staphylococcus aureus to evade the host defense system. However, the mechanism of IsaB on host transmissibility remains unclear. We found that IsaB expression was elevated in transmissible MRSA. Wild-type isaB strains inhibited autophagic flux to promote bacterial survival and elicit inflammation in THP-1 cells and mouse skin. MRSA isolates with increased IsaB expression showed decreased autophagic flux, and the MRSA isolate with the lowest IsaB expression showed increased autophagic flux. In addition, recombinant IsaB rescued the virulence of the isaB deletion strain and increased the group A streptococcus (GAS) virulence in vivo. Together, these results reveal that IsaB diminishes autophagic flux, thereby allowing MRSA to evade host degradation. These findings suggest that IsaB is a suitable target for preventing or treating MRSA infection