分解炉虚拟样机的开发

以水泥生产过程中的分解炉为对象，分析了分解炉内具体的物理化学过程，同时开发了反映分解炉工作过程(流体力学、燃烧学、分解动力学、颗粒动力学)的数学模型，借助数值模拟方法进行了分解炉虚拟样机的开发，为分解炉的设计与开发提供了试验平台。     

高精度步进压印机热误差的建模分析

为了消除由紫外光曝光所引起的步进压印机的热误差，以提高压印机的套刻对准精度，运用逐步回归分析法选取了压印机上温度测量点的数量，将压印机上布置的温度传感器从15个减少到6个，并建立了压印机温度测量关键点处的温度与压头在x、z方向热误差关系的数学模型．实验结果与模型计算结果的对比分析表明，模型的热误差预测精度在x方向可以达到899／6，而在z方向可以达到939／6．应用表明，该方法是一种在压印机热误差建模中选择温度测量关键点的有效方法，可避免热误差建模过程中的变量耦合问题，从而提高了模型的精确性．     

第28届奥运会男子十项全能成绩特征分析

运用文献资料法、数理统计法和逻辑分析法,对第28届奥运会十项全能运动成绩前18名进行统计分析.笔者对18个运动成绩分成3个集团,并进一步对3个集团各单项成绩进行比较,结果表明各单项成绩在差异显著性上具有一定的特征.今后对中国运动员齐海峰训练中在跳高上应有所突破.     

魔芋试管苗的营养液栽培管理技术和立体栽培模式初探

通过对魔芋试管苗栽培管理过程中的清洗、移栽、炼苗、营养液栽培及光照、季节、病害防治等多种因素进行试验观察，总结出了一套较为成熟的魔芋试管苗立体多架层栽培模式，为魔芋试管苗二年速成良种繁育体系的建设奠定了基础．     

智能化44点啤酒发酵温度巡测仪

本文将八十年代最新研制的集成温度传感器ＡＤ５９０、８０９０单片机，可编程逻辑器件ＧＡＬ－１６Ｖ８Ａ等新器件及智能化新技术，集中应用于啤酒发酵过程的温度检测。与传统人工测温相比，具有测温精度高、稳定性好、反应快、可远距离自动检测、定时打印，减轻工人劳动强度、调节啤酒发酵温度的响应速度快等特点。     

切削刀具倒棱刃口挤压力的理论计算

根据试验观察．揭出了刀具刃口带负倒棱时的切削模型。在此模型中,刀具刃口 存在一个“金属死区”。以新模型为基础．采用能量法,对高温、高应变率下刀具刃 口的挤压力进行了理论计算。所做工作的特点是：１）在材料变形分析中计入了挤压 层金属绕过刀具刃口时的过剩变形;２）进行有关材料变形与物理特性的计算时,考 虑了温度与应变率的影响。利用新研制的压电式切削测力仪进行验证试验,其结果表 明,理论计算值与实测数据较好一致。     

须从抬头不良对精梳质量的影响

本文通过高速摄影,拍摄到钳板开启后须丛头回挺的全过程,从而获得须丛抬头所需时间须丛移的变化规律。鉴于现有精梳机存在须头不良问题,本文还对受须丛抬头不良干扰的分离丛进行了理论分析,得出精梳棉网“鱼鳞斑”是须丛抬头不良所致。这些研究工作为棉纺精梳机的设计和调试提供了重要依据。     

The induction of secondary seed dormancy by oxygen deficiency in a barnyard grassEchinochloa crus-galli

At 25°C, secondary dormancy was induced in seeds ofE. crus-galli exposed for 100 days to oxygen deficiency. By contrast, hypoxia did not induce dormancy at 15°C or prevent dormancy termination at 7°C. Secondary dormancy was terminated after 2 months stratification at 7°C. Oxygen deficiency may increase the proportion of dormant seeds in the soil, and affect the dynamics of the barnyard-grass soil seed bank.We thank Miss Jitka Králová for her excellent technical assistance.     

On some significance tests in cluster analysis

We investigate the properties of several significance tests for distinguishing between the hypothesisH of a homogeneous population and an alternativeA involving clustering or heterogeneity, with emphasis on the case of multidimensional observationsx ₁, ...,x _n ^p . Four types of test statistics are considered: the (s-th) largest gap between observations, their mean distance (or similarity), the minimum within-cluster sum of squares resulting from a k-means algorithm, and the resulting maximum F statistic. The asymptotic distributions underH are given forn and the asymptotic power of the tests is derived for neighboring alternatives.     

Internal interactions within the human circadian system: the masking effect

Summary In the realm of human circadian rhythms, the masking effect is defined as the change in the course of deep body temperature induced by changes in the degree of physical activity, or by the alteration between sleep and wake. This effect is particularly obvious during internal desynchronization where the rhythms of deep body temperature, and the sleep-wake sleep-wake sleep cycle — i.e. one of the masking factors — run with different periods.Every sleep onset is accompanied by a rapid drop, and wake onset by a rapid rise in deep body temperature, each one with an overshoot of about 50% of the steady state variations. When rhythms are calculated, with the dominant temperature period as the screening period, exclusively from data obtained during sleep episodes, on the one hand, and from those obtained exclusively during wake, on the other, two average cycles emerge: the sleep temperature curve and the wake temperature curve. Both run in parallel but are separated by the masking effcct. As derived from many experiments, the mean masking effect amounts to 0.28±0.06°C. The masking effect also depends to some extent on the phase of the temperature rhtthm; it is larger than average around the temperature maximum and during the descending phase of the temperature cycle, where the alertness commonly is highest and the probability to sleep, in general, and the REM sleep propensity, in particular, are smaller than average. This also can be interpreted to indicate that the sleep temperature curve is phase advanced relative to the wake temperature curve; this, on the average, by 0.9±0.3 h.If the individually determined amount of masking is added to the temperature data obtained during sleep, or substracted from the temperature data obtained during wake, a temperature curve emerges that can be though of as being purified of the masking effect. Analyses of this artificial curve allow estimation of that part of the internal interactions uninfluenced by the masking effect. On the average, about half of the amount of interaction between the rhythm of sleep-wake and that of deep body temperature is explained by the masking effect, whereas the other half is oscillatory interaction. Both types of interaction are inherent and inseparable parts of the circadian clock mechanism, as can be deduced from model considerations.