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time value相关的网络例句

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B For the assets over which the enterprise has drawn a reserve fund for value decrease, depreciation or bad debt, if the taxable income has been increased at the time of filing tax returns, the enterprise shall be permitted to make an adverse tax payment adjustment regarding the write-off reserve due to disposal of the relevant assets by value recovery or transfer, for the fixed assets and intangible assets among the above mentioned assets, the deductible depreciated or amortized amount may be determined on the basis of the book value before the reserve is drawn.

企业已提取减值、跌价或坏帐准备的资产,如果申报纳税时已调增应纳税所得,因价值恢复或转让处置有关资产而冲销的准备应允许企业做相反的纳税调整;上述资产中的固定资产、无形资产,可按提取准备前的帐面价值确定可扣除的折旧或摊销金额。

According to the Ricardian law of value, two capitals employing the same and equally paid labor, all other conditions being equal, produce the same value and surplus-value, or profit, in the same time.

按照李嘉图的价值规律,假定其他一切条件相同,两个资本使用等量的,有同样报酬的活劳动,在相同的时间内会生产价值相等的产品,也会生产相等的剩余价值或利润。

Employing the small gain theory can solve the problem of robust stability. Then, when the RTT (Round-trip time) of every VC fluctuates around the estimated value, the steady value of queue could track the specified expected value and the oscillation is very small.

运用小增益定理解决鲁棒稳定性问题,在每个虚路径的往返时延都同时在预估值上下发生变化的情况下,使得交换机中的队列长度能够稳定在给定值,而且抖动都很小。

In this articl,the discrete computing formula s of AC vohage rms value,AC current rms value,active power are given with the strict mathematics derivation,the minimum sampling time per cycle is given dividedly in rms value and active power calculation.

提出了交流信号的电压有效值、电流有效值、有功功率的离散计算公式,并给出了严格的数学证明,分别得出了有效值和有功功率计算中每周波最少采样点数。

The grain length, width and 100-grain weight of parents and 110 lines in waterland cultivation of were greater than that in dryland cultivation, and amylose content and chalkiness rate were less than that in dryland cultivation. The comparative study on RVA showed that the greater effect of water stress was observed on the cold plastic viscosity, consumers base value, the restoring value of RVA spectral characteristics and litter on gelatinization temperature, the peak time, the highest viscosity, hot plasma viscosity, disintegrating value.

在旱地种植亲本和各品系的粒长、粒宽和百粒重的均值均小于水田种植,而直链淀粉含量和垩白率均大于水田种植;稻米淀粉黏滞性特征谱中冷胶黏度、消碱值、回复值受土壤水分胁迫影响较大,土壤水分对糊化温度、峰值时间、最高黏度、热浆黏度、崩解值影响较小。

I. An analysis of the prominently related variables with whether or not to receive cervical smear screen of tendency factors, enabling factors and needs factors by using the logistic regression model was performed.: 6 variables of tendency factors with predictive value as to whether a woman receive cervical smear screen or not include age, marital status, educational level, family structure, religion, and the knowledge of free smear examination offered by mandatory citizen health insurance; 4 variables with enabling factors with predictive value include average monthly income, district, whether receiving telephone or letter notices in the past year, and the degree of convenience of the examination location. One variable of needs factors with predictive value: is the suitability of the examination time notified. The accuracy rate of laddered logistic regression model built by this research was 74.1%.

经卡方检定后,将倾向、能用、需要因素中具有显著相关变项与是否接受抹片检查,放入逻辑斯回归预测模型中,本研究结果发现:倾向因素中的六个变项:年龄、婚姻状况、教育程度、家庭结构、宗教信仰、是否知道健保提供免费抹片检查对受检与否具有预测力;能用因素中的四个变项:平均月收入、地区别、过去一年内是否接到电话或信函通知、收到通知的受检地点是否方便对受检与否具有预测力;需要因素中的一个变项:收到通知的受检时间是否合适对受检与否具有预测力;本研究所建立的阶层逻辑斯回归模型的整体预测正确率为74.1﹪。

The results from statistic data analysis using the statistic software SPSS15.0 for descriptive statistics, chi-square evaluation, laddered logistic regression, factors analysis, credibility analysis, variables analysis, and multiple comparison are as follows: I. An analysis of the prominently related variables with whether or not to receive cervical smear screen of tendency factors, enabling factors and needs factors by using the logistic regression model was performed.: 6 variables of tendency factors with predictive value as to whether a woman receive cervical smear screen or not include age, marital status, educational level, family structure, religion, and the knowledge of free smear examination offered by mandatory citizen health insurance; 4 variables with enabling factors with predictive value include average monthly income, district, whether receiving telephone or letter notices in the past year, and the degree of convenience of the examination location. One variable of needs factors with predictive value: is the suitability of the examination time notified. The accuracy rate of laddered logistic regression model built by this research was 74.1%.

利用统计软体SPSS15.0进行描述性统计、卡方检定、阶层式逻辑斯回归、因素分析、信度分析、变异数分析、多重比较等统计方法分析,根据统计资料分析结果:经卡方检定后,将倾向、能用、需要因素中具有显著相关变项与是否接受抹片检查,放入逻辑斯回归预测模型中,本研究结果发现:倾向因素中的六个变项:年龄、婚姻状况、教育程度、家庭结构、宗教信仰、是否知道健保提供免费抹片检查对受检与否具有预测力;能用因素中的四个变项:平均月收入、地区别、过去一年内是否接到电话或信函通知、收到通知的受检地点是否方便对受检与否具有预测力;需要因素中的一个变项:收到通知的受检时间是否合适对受检与否具有预测力;本研究所建立的阶层逻辑斯回归模型的整体预测正确率为74.1﹪。

Therefore, it has the important scientific research value in studying the relationship between the changing of the parameters (including the temperature, the humidity, the grain radius and so on) and the electricity and radioactivity of the medium. Applied the count statistics and the numeral value analysis, the paper analyzes, concludes and contrasts the data sufficiently through the experimentation, and acquires the following results that the resistivity and the polarizability both have the negative relationship with the temperature variety of medium from 0℃ to 200 ℃. The parallactic poalarizability is consistent with the temperature variety in the plan as well as the section, but their trends are exactly opposite. Power supply voltage has no considerable influence to the resistivity and polarizability by using duality variance analysis, however, the detecting depth and the plan position influence them greatly. Different AB/2 interval that increases by degree does not influence variance and the average value of the resistivity and the polarizability remarkably. By using the least double multiplication, the relationship of temperature-time-the influence radius of the fire source is carried up by the mathematic drawing up. After discussing their correl ation, I educe the influence radius of the fire source and carry out the 'trend analysis and forecast to the spacial changing of the temperature and the parallactic polarizability in the end.

本文通过试验并应用数理统计和数值分析等相关理论对所得到的试验数据进行了分析、归纳和对比,得出了介质温度变化在0-200℃内视电阻率和视极化率与温度均表现为负相关性;视极化率与温度在剖面和平面上的变化形态具有很好的一致性,但变化趋势相反;由二元方差分析可得供电电压对视电阻率和视极化率无显著影响,但探测深度和平面位置对视电阻率和视极化率有显著影响;通过假设检验可证不同AB/2递增间隔,对视电阻率和视极化率的方差和平均数影响都无显著性差异;应用最小二乘法对温度——时间——火源影响半径之间的关系进行了数学拟合,讨论了它们之间的相互关系,得出了火源影响的有效半径,太原理工大学硕士研究生学位论文并对温度和视极化率的空间变化作了趋势分析和预测。

Under these conditions,it has become an unavoidable problem for the academics circles to discuss the literary value function on the background of the expense culture.The author aims to construct the are thetic value theory of the expense time and to remold the literary value function through all sorts of performances of the current mass culture and the daily life aesthetic activities.

在消费时代,曾经作为文化重要领域的文学与美学学科毫无疑问遭到了前所未有的冲击,它们失去了曾经有过的尊显地位,其学科&边界&变得日益难以确定,其&地盘&似乎正在日渐萎缩,其审美活动也已经超出所谓纯艺术/文学的范围,渗透到大众的日常生活中,文化活动、审美活动、商业活动、社交活动之间不存在严格的界限。

The paper founds GM(1, 1) model of gray prediction theory in order to predict level displacement,and forecast horizontal displacement of 8-8 section of the Olympic Games project with it and compares forecast data and actual data.The result is that GM(1, 1) model may forecast short-term horizontal displacement after the model is proved eligibility. In order to manage long-term horizontal displacement,the paper founds metabolism GM(1, 1) model.At first, founding GM(1,1) model with known data and forecast next numerical value,next renewing founded GM(1,1) model with numerical value at the same time abnegating first data,and then forecast nest numerical value with same method.

本文为了预测土钉支护水平位移,建立了GM(1,1)灰色系统理论预测模型,应用灰色预测法GM(1,1)模型对奥运工程地下通道I标段8-8剖面的土钉支护产生的水平位移进行了预测,并与实测值进行比较,得出灰色预测法模型经检验合格后可以对工程进行水平位移的短期预测;为了使GM(1,1)模型同样适用于长期预测,用新陈代谢的GM(1,1)模型,即根据己知数列来建立GM(1,1)模型,预测一个灰数值,然后不断地将预测值补充到己知数列之后,每补充一个再去掉一个最老的数据构成新的数列,建立一个新的GM(1,1)模型,预测下一个值。

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