氯化铝工业生产中几个工艺技术问题的探讨

本文详细论述了利用废铝生产氯化铝过程中,设备及各控制因此对产品质量和颗粒度的影响,(?)了适宜的控制条件和设计要求,为生产不同用户需求的合格产品提供了可靠的依据。     

无限维s空间内无条件发散级数的Dvoretzky—Hanani定理

本文推广了Ｄｖｏｒｅｔｚｋｙ－Ｈａｎａｎｉ定理于无限维Ｓ空间。     

一些商的单调性质

考虑了形如∫xap(t)f(t)dt∫xap(t)g(t)dt　　　　和　　　　∑ki=1piai∑ki=1pibi的两种商在一定条件下所具有的单调性质,推广了某些熟知的结果.     

发展昌平现代农业旅游

现代农业旅游不仅仅局限于传统的乡村旅游和以自然风光为主的绿色之旅,而是将传统和现代的农业生产、农业生活和文化、农村生态环境有机地结合为一体的旅游活动。其基本形式是以农业生产为基础,利用农业自然环境、农村人文环境和资源进行科学规划设计,形成集科研、科普、生产、加工、销售、观光、品尝、娱乐、度假为一体     

金融系统的网络管理策略

在分析企业网络管理的同时，根据国内银行网络管理的实际情况及规划情况，结合对金融企业网络管理的实际经验，对构筑银行网络管理体系提出了一些看法。     

电子碰撞Ag的L壳层电离截面的测量

作者用Si(Li)探测器测量了能量为5～2keV的电子碰撞Ag的L壳总平均电离截面；用Monte Carlo方法计算的电子反射能谱，修正了来自衬底的反射电子对测量结果的影响．作者对实验结果与Cryzinski的理论计算结果进了比较．     

Reliability of Reinforced Concrete Buildings During Constructio

The safety analysis of reinforced concrete buildings during construction should be based on the comprehensive understanding of loads, load effects, structural resistance, and available safety index of the structure. This paper analyzes the characteristics and probabilistic models of resistance, loads, and load effects. A method was developed to calculate the probability of failure based on Monte Carlo simulation and models proposed in previous articles. Construction examples were used to analyze the influence of live load on the probability of failure. The results show that when the live load increases, the maximum probability of failure increases with acceleration. The results suggest that the construction live load should be carefully addressed during construction.     

Pb-Sn-Bi三元系α相固溶体的点阵参数

应用X射线衍射法测定了Pb-Sn-Bi三元系Pb基α相固溶体的点阵参数,发现点阵间距与成分呈线性变化,对两批实验数据分别进行回归分析,得到点阵参数-浓度关系的统一解析式: α=0.49495X_(Pb)+0.47813X_(Sn)+0.50629X_(Bi)。其F检验置信度大于99.9％,残余标准差σ=6.4×10~(-5) nm,分析点阵畸变的影响因素表明尺寸效应是控制固溶体点阵行为的主要因素。     

RESAMPLING METHOD UNDER DEPENDENT MODELS

As well known,the jackknife and the bootstrap methods fail for the mean of thedependent observations.Recently,the moving blocks jackknife and bootstrap havebeen proposed in the case of the dependent observations.For the mean of the strictlystationary and m-dependent observations,it has been proved that the proposeddistribution and variance estimators are weakly consistent.This paper proves that thedistribution and variance estimators are strongly consistent for the mean(and theregular functions of mean)of the strictly stationary and m-dependent or(?)-mixingobservations.