查询词典 variables

The object of this study is to simulate the washer operation of drum washer and horizontal belt washer by varying some process variables, such as dilution factor, pulp mat consistency, washing liquor temperature and basis weight, with a laboratory pulp tester. The aim is to find out the effect of these variables on the washing efficiency and determine the specific gravity of black liquor.

本研究的目的以自制实验室洗浆机於不同变数：如稀释因子、洗涤浆层浓度、洗液温度及基重等模拟筒式及水平带状洗浆机的洗涤操作，以探讨这些变数对於洗涤效率的影响，同时并辅以黑液比重的测试。

The independent variables in this research are two type backrests, three speed conditions, and three levels of surface. The kinematic and kinetic data are dependent variables. To test the study hypothesis, we used a two-way respeated measures analysis of variance on two factors (backrests and speeds, or backrests and slopes).

依研究目的将不同靠背组别作为主要影响因子，运动学资料与动力学资料为依变项，以重复量数双因子变异数分析(Repeated Measurement Two-way ANOVA)来验证不同靠背之间的差异性。

Special attributes: func doc or doc is the function's documentation string, or None if unavailable; func name or name is the function's name; module is the name of the module the function was dened in, or None if unavailable; func defaults is a tuple containing default argument values for those arguments that have defaults, or None if no arguments have a default value; func code is the code object representing the compiled function body; func globals is the dictionary that holds the function's global variables — it denes the global namespace of the module in which the function was dened; func dict or dict contains the namespace supporting arbitrary function attributes; func closure is None or a tuple of cells that contain bindings for the function's free variables.

func defaults是一个包括有参数中设有默认值的元组；func name 或 name 是函数名。func code是一个编译后的代码对象；func globals是一个引用，指向保存了函数的全局变量的字典—-如果你在函数所在模块中定义了全局变量的话。func dict或 dict 包括了支持任意函数属性的名字空间；func closure 要么是None，要么是包括有函数自由变量捆绑的单元的元组。

The method uses leakage currents of all conductor segments and the surface charge densities on the surface of finite volume as unknown variables.The number of unknown variables used in this method is much less than those in other methods,and the grounding system buried in multi-layer soil with arbitrary numbers of layers can be analyzed.

这种方法以导体上的漏电流和有限体积材料表面的电荷密度为待求变量，与国际上其他方法相比，该方法使用的未知量数显著减少，并且可以分析复杂多层土壤中的接地网性能。

Erection parameters in the literature [9] nonlinear analysis method used to calculate some of the variables erection capacity limit, but no major erection of some other variables, such as the level of the top-Ligan excess of the limit load length the impact of, and the top model Ligan more displacement constraints, and the actual situation of access to a certain extent; literature [7] space will be just as Falsework framework erection of the main parameters of the critical load, and The literature [10] scaffold for the ultimate strength estimation method for calculating the results of the amendment.

在搭设参数方面，文献[9]采用非线性分析方法，计算了部分搭设变量下的极限承载力，但是没有分析另外一些主要搭设变量如立杆超出顶层水平杆长度对极限承载力的影响，而且计算模型的顶部立杆位移约束较多，和实际情况有一定的出入；文献[7]将模板支架视为空间刚框架，分析了主要搭设参数下的临界荷载，并采用文献[10]提出的用于外脚手架极限承载力的估算方法对计算结果进行了修正。

This study is based on Dickey-Fuller and Augmented Dickey-Fuller two unit root test methods and Johansen's cointegration test method to examines the relationship between sales figure of DIAGEO Taiwan and macro economic indicators in order to forecast sales trend for whisky category. The three major variables are:(1) Consumer price index,(2) Single malt whisky sales figure, and (3) Blended whisky sales figure, and intend to understand the interaction between the three major variables.

本研究以Dickey-Fuller及Augmented Dickey-Fuller两种单根检定方法，检定帝亚吉欧台湾分公司的销售报表数字是否具有单根，藉以判定总体经济指标与其销售数字能否利用VAR模式及Johansen共整合检定，检定两者之共整合关系，以期达成预测之目的，而研究的主要变数为：消费者物价指数；单一麦芽威士忌的销售数字；及调和式威士忌的销售数字等三变数，并试图去了解上述变项间相互的影响。

The researchmethodology system is as follows:The variables that can be measured and have significance to stock relative intrinsic value are industry characteristic, profitability,development potential,qulity of earing and asset, the expandable potential of capital stock,the ability to pay off the debt,asset manging ability and the scale of the capital stock;(2)When the MFPM is established, the original variables should be disposed beforehand;(3)As for the research objects.we should value synthesizationly the achievement of the listed,and take the No.

本章所建立的研究方法体系为：（1）上市公司个股基本面因素中可以量化，并且对股票相对内在价值有重要影响的主要有行业特性、盈利能力、成长性、盈利质量及资产质量、股本扩张潜力、偿债能力、资产运营效率和股本规模大小等方面；（2）在建立MFPM模型时，原始指标值是不能直接用于模型计算的，必须对数据进行预处理后才能用于模型中：（3）在确定研究对象时，需要对上市公司经营绩效进行综合评价，在剔除主要靠未来业绩预期定价的第Ⅳ类股后，把第Ⅰ、Ⅱ和Ⅲ殴作为模型研究对象；（4）在选择多元回归模型时，由于原始自变量由于存在错综复杂的关系，尽管对原始自变量进行过预处理，但自变量指标依然会存在一定的多重共线性，为此在建立MFPM模型时，须采用逐步回归模型；（5）在检验MFPM模型有效性时，须从统计意义和投资实战意义两个方面进行。

To the question of predication in the stock market,I study some informations about data minging predication model of stock price based on neural network.I put forward to do attribute relativity analysis for inputing index variables and outputing object variables with the theory of attribute relativity analysis in the course of designing a neural networ predication model.

本文针对股市预测分析问题，对基于神经网络股市预测的数据挖掘模型进行了研究，提出在模型设计中，采用属性相关性分析理论对输入指标变量和目标变量作必要的相关性分析，以此优选输入变量组合，从而提高网络的预测性能。

Through the analysis on the interpersonal variables, including mood, modality, personal pronouns and vocatives, and also the register elements, it is shown that in conversation, people can achieve humorous effects by controlling the variables of interpersonal meaning.

研究发现，通过谈话人对谈话中的人际意义的各种因素进行相对的控制，如：语气、情态度、人称代词、呼语等等，可以产生幽默的效果。

However, on the other hand, it may also lengthen the live range of variables and increase the register pressure, which in turn results in spilling some variables to memory and deteriorating the performance.

投机一方面可以提高指令级并行带来性能改善，另一方面，它也可能拉长变量活跃区间，增大寄存器压力，导致变量溢出，从而恶化性能。

This one mode pays close attention to network credence foundation of the businessman very much.

这一模式非常关注商人的网络信用基础。

Cell morphology of bacterial ghost of Pasteurella multocida was observed by scanning electron microscopy and inactivation ratio was estimated by CFU analysi.

扫描电镜观察多杀性巴氏杆菌细菌幽灵和菌落形成单位评价遗传灭活率。