文学的存在方式现象学

文学的存在方式是指文学赖以存在的整体结构。通过对文学创作活动(事件)、文学接受活动(事件)的现象学描述,建构了文学的存在方式———文学存在的四维整体结构和文学存在之主体间的交流结构,后两者共同组建着文学的存在整体。     

观赏植物矮化培养研究

通过试验筛选出适合万寿菊、满天星快速繁殖的培养基．矮壮素可使满天星和万寿菊丛苗数量减少，植株生长明显受抑制，使其节间缩短，叶片增厚，叶色浓绿．矮壮素还有使万寿菊根系发达粗壮，分支较少的作用．500mg／L的矮壮素比较适宜矮化培养，既达到了矮化的效果又不至于阻碍植株正常生长，且试管苗株形紧凑、美观．     

Association scan of 14,500 nonsynonymous SNPs in four diseases identifies autoimmunity variants

We have genotyped 14,436 nonsynonymous SNPs (nsSNPs) and 897 major histocompatibility complex (MHC) tag SNPs from 1,000 independent cases of ankylosing spondylitis (AS), autoimmune thyroid disease (AITD), multiple sclerosis (MS) and breast cancer (BC). Comparing these data against a common control dataset derived from 1,500 randomly selected healthy British individuals, we report initial association and independent replication in a North American sample of two new loci related to ankylosing spondylitis, ARTS1 and IL23R, and confirmation of the previously reported association of AITD with TSHR and FCRL3. These findings, enabled in part by increased statistical power resulting from the expansion of the control reference group to include individuals from the other disease groups, highlight notable new possibilities for autoimmune regulation and suggest that IL23R may be a common susceptibility factor for the major 'seronegative' diseases.     

Finding finer functions for partially characterized proteins by protein-protein interaction networks

Based on high-throughput data, numerous algorithms have been designed to find functions of novel proteins. However, the effectiveness of such algorithms is currently limited by some fundamental factors, including (1) the low a-priori probability of novel proteins participating in a detailed function; (2) the huge false data present in high-throughput datasets; (3) the incomplete data coverage of functional classes; (4) the abundant but heterogeneous negative samples for training the algorithms; and (5) the lack of detailed functional knowledge for training algorithms. Here, for partially characterized proteins, we suggest an approach to finding their finer functions based on protein interaction sub-networks or gene expression patterns, defined in function-specific subspaces. The proposed approach can lessen the above-mentioned problems by properly defining the prediction range and functionally filtering the noisy data, and thus can efficiently find proteins’ novel functions. For thousands of yeast and human proteins partially characterized, it is able to reliably find their finer functions (e.g., the translational functions) with more than 90% precision. The predicted finer functions are highly valuable both for guiding the follow-up wet-lab validation and for providing the necessary data for training algorithms to learn other proteins.     

时域中系统鲁棒稳定性的定量计算

本文定量地考虑了当系统参数受到干扰时的稳定性问题。目的为对以状态空间法表示的线性系统鲁棒稳定性的定量计算提出一个统一的结论。文中首先对摄动的分类及对用李亚普诺夫理论求解受扰系统鲁棒稳定性的历史结果进行了述评,进而对其摄动的允许界限的计算提出了新方法。实例表明所示结果较少保守性。