概率空间上一类集合的分形维数

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轻型装饰原纸的研制：助剂与工艺条件优选

在实验室条件下,以漂白硫酸盐针叶木浆与棉浆试制轻型装饰原纸。对WS-01,02,03湿强剂、三聚氰胺甲醛树脂、阳离子型与阴离子型聚丙烯酰胺和A-RA_1助留剂、A-DS_1干强剂以及不同类型的二氧化钛进行了优选试验。结果表明,WS-01湿强剂与A-DS_1干强剂配合使用,可以使轻型装饰原纸的干、湿强度、吸水高度与灰分含量达到规定的质量要求。试验确定了主要影响因素与优化工艺条件。     

设计机床主轴合理支距的微机辅助计算

本文介绍了一种采用微机设计车床主轴合理支距的计算方法和计算程序,并有计算例题。这种微机算法具有精度高、解答多、速度快、省时间,以及便于推广应用等特点。     

喷气织机织物下机缩率的理论与实践

喷气织机采用气流引纬，其织造工艺为小开口大张力。根据测定上机张力约为有梭织机的二倍，同时由于采用专用工具落布，其落布长度为有梭织机的５～６倍。正因为其作应力与作用时间的差别，引起织物的三种变形的重新分配，从而导致织物下机缩率的差异。对这种差异进行理论分析，并提供某些纺织厂的实际数据以供参考。     

新型电脑横机主要控制机构设计分析

根据在开发设计电脑横机中所积累的经验,分析新一代电脑提花针织横机几个主要控制机构,对其中的针床横移机构以及齿口片结构设计做了重点的介绍     

用大孔出流理论解决大中型盘类铸件浇注系统设计问题

通过对电线电缆设备中的各类大、中型绞盘类铸件的浇注系统的研究，分析了用传统的阿暂公式计算此类铸件的浇注系统，致使铸件易产生浇不足、冷隔、夹砂、粘砂等铸造缺陷的原因介绍了用大孔出流理论设计绞盘类铸件的浇注系统的方法，考虑了浇口比这一影响因素，可有效防止上述缺陷，使铸件的废品率降低，质量提高     

用划分序列构造时序机核实序列的方法

任何既约的、强联结的时序机 ,必存在核实序列 .若该机存在区分序列 ,构造其核实序列的方法已经形成 ;但是 ,若该机不存在区分序列 ,需寻求构造其核实序列的方法 .作者从时序机的状态表出发 ,定义了划分序列 ,并针对无区分序列的时序机 ,提出了利用划分序列构造时序机核实序列的一种方法 .该方法中求划分序列部分建立在时序机的矩阵模型上 ,易于工程实现     

Second order wave loads on large monolithic offshore structures

This paper considers the wave loads on large monolithic offshore structures. The second order wave force formulae developed by Rahman and Heaps, applicable to large circular cylinders in waves, are extended to evaluate the overturning moments on large circular cylinders. The theory is then applied to square section caissons in waves, to predict the wave loads on these structures. These calculations are performed using the exact form of the second order velocity potential, φ₂, with arbitrary wave number, k₂, and the approximate form of φ₂, with twice the value of the wave number of the first order velocity potential. The second order analytical predictions are compared with available experimental data for various ranges of wave parameters for both circular and square caissons in large amplitude waves.     

花背蟾蜍体外跌卵及采用跌卵作为细胞核移植受体的尝试

采用体外跌卵的方法，对花背蟾蜍卵子的体外成熟过程进行了形态学及细胞学检查，并对利用体外跌卵作为细胞核移植受体进行了初步的尝试．结果表明，体外跌卵与活体卵子的离巢及成熟过程基本一致；采用体外跌卵作为移核受体，得到了发育至游泳期的蝌蚪，但发育的百分比低于对照组．     

Metabonomic analysis of hepatitis B virus-induced liver failure： identification of potential diagnostic biomarkers by fuzzy support vector machine

Hepatitis B virus （HBV）-induced liver failure is an emergent liver disease leading to high mortality. The severity of liver failure may be reflected by the profile of some metabolites. This study assessed the potential of using metabolites as biomarkers for liver failure by identifying metabolites with good discriminative performance for its phenotype. The serum samples from 24 HBV-indueed liver failure patients and 23 healthy volunteers were collected and analyzed by gas chromatography-mass spectrometry （GC-MS） to generate metabolite profiles. The 24 patients were further grouped into two classes according to the severity of liver failure. Twenty-five eommensal peaks in all metabolite profiles were extracted, and the relative area values of these peaks were used as features for each sample. Three algorithms, F-test, k-nearest neighbor （KNN） and fuzzy support vector machine （FSVM） combined with exhaustive search （ES）, were employed to identify a subset of metabolites （biomarkers） that best predict liver failure. Based on the achieved experimental dataset, 93.62% predictive accuracy by 6 features was selected with FSVM-ES and three key metabolites, glyeerie acid, cis-aeonitie acid and citric acid, are identified as potential diagnostic biomarkers.