燃料添加剂对柴油机烟粒燃烧的影响

考察了燃料添加剂对降低柴油机烟粒燃点温度的效应。含金属添加剂的柴油机烟粒被收集在金属纤维过滤器上,把原状烟粒样品移入实验室反应器,用模拟柴油机排气进行燃烧试验。实验结果表明,当烟粒中含有Pd或Cu时,烟粒的燃点温度可降至430℃左右(普通柴油机烟粒的燃点温度约600℃);Pd的添加还可大大降低烟粒一次燃烧产物中CO的分率。文中还对金属(催化剂)/烟粒接触程度和添加剂溶液中可燃性部分对烟粒燃烧的影响作了讨论。     

与半群的完全不可逆生成集相关的几个性质

讨论了半群环的两个性质以及关于半群的a.c.c.p.（主理想升链条件）的一个结论。     

一类按学生素质优劣排序的数学方法

用模糊学方法定量评定了学生的综合素质，并按素质的优劣给学生进行了排序，这里是将数学方法引入教学管理的初步尝试。     

知识经济的可持续发展刍议

知识经济被视为实现可持续发展的必由之路，但它本身也有个可持续发展的问题。知识经济本质上是人的经济，它淡化了经济发展对天然资源的依赖关系，强化了对人自己创造的知识资源的依赖性，使得科技和教育的发展成为实现其可持续发展的关键；同时，处理和运用知识的手段和能力是知识转化为资源的重要环节，高科技产业的发展也因之成为其必要的条件；知识经济又是商品化经济，知识产权的保护等措施是保证知识生产和再生产顺利进行的环境支持。     

山西省代县碾子沟金红石矿的成因分析

金红石在基性岩中是由于自变质作用和后期热液作用的结果,使矿体中金红石加富,该区矿床属岩浆矿床。介绍了代县碾子沟矿区金红石矿产的地质特征,就代县碾子沟矿区金红石矿的成矿原因进行了分析。     

漳州某基坑抽水引起地面沉降的初探

由于基坑快速抽水导致基坑周边地面沉降。通过对场地因抽水引起地面沉降的计算和试抽水等方面的前期工作,分析了因基坑降水对地面沉降的影响,并据此来调整完善基坑降水方案,取得了明显的社会和经济效益。     

The peptidoglycan recognition proteins LCa and LCx

Infection of bacteria triggers innate immune defense reactions in Drosophila. So far, the only bacterial component known to be recognized by the insect innate immune system is peptidoglycan, one of the most abundant constituents of the bacterial cell wall. Insects use peptidoglycan recognition proteins to detect peptidoglycan and to activate innate immune responses. Such specialized peptidoglycan receptors appear to have evolved from phage enzymes that hydrolyze bacterial cell walls. They are able to bind specific peptidoglycan molecules with distinct chemical moieties and activate innate immune pathways by interacting with other signaling proteins. Recent X-ray crystallographic studies of the peptidoglycan recognition proteins LCa, and LCx bound to peptidoglycan have provided structural insights into recognition of peptidoglycan and activation of innate immunity in insects. Received 28 December 2006; received after revision 2 February 2007; accepted 21 February 2007     

求解Po-函数非线性互补问题的一个下降牛顿算法

构建了一个新的光滑价值函数来求解Po-函数非线性互补问题.区别于以往所构建的价值函数,构建的新的光滑价值函数不含任何光滑参数.对于Po-函数,可以得到,此价值函数的任一稳定点都是非线性互补问题的解.基于这个简单的光滑价值函数,提出了求解Po-函数非线性互补问题的一个下降牛顿算法.在适当的条件下,该算法的全局收敛性及局部超线性(二次收敛性)也得到了证明.     

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.     

量子阱中类氢杂质束缚能的压力效应

本文采用变分法研究了量子阱中类氢杂质的束缚能的压力效应，尤其在阱较窄的情形下，其压力效应更为显著．