一个线性约束优化问题的广义梯度投影法

本文对线性约束优化问题提出了一个新的广义梯度投影法，该算法采用了非精确线性搜索，并在每次迭代运算中结合了广义投影矩阵和变尺度方法的思想确定其搜索方向．在通常的假设条件下，证明了该算法的整体收敛性和超线性收敛速度．     

A Generalization of the Mean Size Formula of Wavelet Packets in Lp

The purpose of this paper is to investigate the mean size formula of wavelet packets in Lp for 0 〈 p ≤ ∞. We generalize a mean size formula of wavelet packets given in terms of the p-norm joint spectral radius and we also give some asymptotic formulas for the Lp-norm or quasi-norm on the subdivision trees. All results will be given in the general setting,     

线性泛函方程解的振动性的新结果

本文研究高阶泛函方程x(g(t))=P(t)x(t)+Q1(t)x(g2(t))+…+Qk(t)x(gk+1(t))解的振动性,得到了一些新的振动条件.改进和推广了已有结果.     

Slutsky定理的一个推广

本文应用紧集上的连续函数是一致连续的性质，推广并证明了著名的Slutsky定理。     

三核铜（I）配合物的合成与荧光光谱

室温下，通过双核配合物[Cu(dppm)(NO3)]2(dppm=双二苯基膦甲烷)与四苯基硼钠在甲醇和二氯甲烷混合溶剂中反应制备了三核铜(I)配合物[Cu3(dppm)3(NO3)(OH)](NO3)，经过红外光谱、热重分析、核磁和ES-MS等现代分析手段表征了配合物的物理化学性质，并进一步研究了配合物在室温下的荧光光谱特征。     

素质教育在剑桥商务英语教学中的应用

在高等教育中，素质教育已经成为中国教育改革和人才培养的指导思想。只有重视素质教育，使科学教育与素质教育整合，才能培养出高科技与高素质相结合的专门人才服务于社会。剑桥商务英语教学中应用素质教育极大的提高了教学效果。通过应用素质教育，培养学生在掌握商务英语基本概念和词汇的基础上，提高学生解决实际商务问题的能力，引导他们全面地、辩证地思考问题，引导他们把书本知识和社会实践联系起来，重视实际斗争经验。     

高等院校教材管理信息系统的分析与设计实现

主要论述了我们为高等院校教材管理所开发的一套计算机管理信息系统的设计思想与实现方法,由于本系统具有使用方便、操作简单,安全稳定,工作流程清晰合理,并与用户熟悉的工作方式相一致,用户无需专业培训即可使用该系统进行工作等特点,因此,深受用户的欢迎。     

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.     

WEIGHTED APPROXIMATION ON SZASZ—TYPE OPERATORS

In this paper, we use weighted modules ω(?)(f,t)w to study the pointwise approximation on Szasz-type operators, and obtain the direct and converse theorem, as well as characterizations of the pointwise approximation of Jacobi-weighted Szasz-type operators.     

Low Cost, High Efficiency, Gain Flattened L Band EDFA Using FBGs as C Band Seed Generators

A low cost, coolerless 980nm diode pumped, gain flattened L band EDFA with fast transient control, high pump efficiency and gain clamping effect was realized by using FBGs as C band seed generators.