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99个SCI论文写作短语及句式,写英文论文时直接用

06-14 论文查重

文章来源:木耶百新

 

SCI论文中,试验介绍以及数据分析是整个论文的核心部分,尤其是试验部分,为了让读者能够有条件重复你的试验结果,作者必须非常详细地阐述试验过程中的所有细节。因为你描述的试验是已经完成的,所以通常用过去时描述之前的工作。

 

如何描述试验过程呢?

 

对于论文而言,有很多语言是通用的,你要做的是像填空一样把你的试验内容填进去就好了。

 

现在,就给大家介绍99个描述试验过程的短语及句式,建议大家收藏一下,在写论文的时候拿出来直接用就好了。

 

试验描述通常分为以下6个部分:

 

  • 试验装置

  • 数据采集

  • 数据分析

  • 统计检验

  • 假设

  • 试验内容

 

下面就一一介绍一下:

 

 

试验装置

 

This experimental design was employed because __

In the course of the experiment, __ played an important role.

The experiments were performed with __

This was experimentally investigated by __

Most experiments have been carried out with __

The main focus of the experiments was to calculate __

Prior to each experiment __

The experiments are completely based on __

Methods were based on previous experiments __

This  proceeds in two stages: __

After a series of experiments it was found that __

This was designed to acquire approximately __

These were designed in such a way that __

This experimental design was employed because __

This was specifically designed for __

This was designed to acquire approximately __

 

数据采集

 

There were __ participants in this sample.

Participants first provided informed consent about __

The data are less clear-cut than __

Data were collected and maintained by __

The application employs data obtained from __

The analyzed data included: __

The procedures of handling the data followed the suggestions of __

Subsequently, __ were then used to elicit further data.

The experimental data on __ is very scarce.

The data in this work consists of __

Survey data were collected from __

This study used different data collection methods such as __

The quality can be enhanced by providing additional data for__

Such data are prone to __

The data was divided into __

Participants in the first data collection were __

The sample was heterogeneous with respect to __

The sample size in this study was not considered large enough for__

The sample of respondents included __

The researchers pooled samples to __

The sample strategy was the same as for__

 

数据分析

 

However, there are trends in our data to suggest that __

The trend values were then subjected to __

This showed a judgement error of __

To investigate this statistically, we calculated __

A __ test was used to determine the significance of data

Data also revealed a significant __

Data were analyzed and correlated with __

The data are presented in Table __

However, according to our data __

The data is analyzed from different points of view such as __

The data reveals significant differences in __

Thus, the data supports the premise that __

Results provides a good fit to the data __

The evaluation of the data is shown in __

Missing values were replaced using __

This analysis was confined to __

The evaluation of the data presented in this work leads to __

 

统计检验

 

Statistical analyses was performed by using the __ applying a significance level of __

The results were statistically significant when compared using __

This was normally distributed throughout the study population.

This distribution resulted in __

Significant differences in the __ remained.

This was the only parameter that had a statistically significant correlation with __

This had a statistically significant impact on __

The correlation between __ and __ is positive and statistically significant at __

As shown in Table __ are statistically significant at all levels.

This revealed no statistical differences on __

The test for __ found no significant differences.

All differences in performance were statistically significant in __

The method achieves a statistically significant improvement compared to __

In order to obtain statistically representative __ it is required to __

Descriptive statistics were calculated for all variables used in the study using __

The significance testing was based on __

All statistical analyses were performed using __

 

假设

 

Such a potentially unrealistic assumption arises from the fact that __

Based on these assumptions, hypotheses were developed: __

Based on these assumptions, __ have been treated as __

This is based on assumptions that __

These assumptions are generally accepted these days__

The fundamental assumptions of the  models are: __

This assumption is supported by the fact that __

Under certain assumptions, __ can be construed as __

These assumptions result in __

This assumption might be addressed in future studies by __

This compilation of research assumptions should result in __

These assumptions have been disproved by __

According to __ assumption, the study reports faithfully __

 

试验内容

 

For the current work, it is sufficient to point out that __

This was sufficient to __

This is sufficiently generic to be adapted to other __

This is generally sufficient to produce good results.

Still, results might be sufficient, especially in __

This was not possible due to insufficient observations.

After a series of experiments __ was considered as sufficient.

It has been proven that __ must be sufficient to __

This was not sensitive enough to __

This study cannot be considered large enough for __

This is simpler and usually sufficient to __

It turns out that it is sufficiently accurate for __

There is in fact sufficient information present in __

This is considered sufficiently unique for __

 

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