学术论文的Materials and Methods部分一般包含以下要素：
* Experimental setup
* Data collection
* Data analysis
* Statistical testing
* Assumptions
* Remit of the experiment
No.1
Experimental setup
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 __
In our preliminary experiments we estimated that __
In this experiment, we introduced a __
Methods were based on previous experiments __
This proceeds in two stages: __
After a series of experiments it was found that __
Therefore, in this experiment we define goals as __
In this experiment, we introduced a __
We consider the setup generic, however, __
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 __
No.2
Data collection
There were __ participants in this sample.
Participants first provided informed consent about __
We performed additional data collection with __
For this study, we analyzed the data collected from __
The data are less clear-cut than __
Data were collected and maintained by __
For this purpose, we employ survey data collected from __
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 __
We utilize secondary data from __
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__
We cannot deny the presence of some sample selection biases because __
The sample of respondents included __
The researchers pooled samples to __
The sample strategy was the same as for__
No.3
Data analysis
However, there are trends in our data to suggest that __
The trend values were then subjected to __
We analysed data as a function of __
We used an established technique, namely __, to analyse __
This showed a judgement error of __
To investigate this statistically, we calculated __
A __ test was used to determine the significance of data
Our data show that there is __
Our data suggest that __ which may be based partly on __
Data also revealed a significant __
Our data also address the __
Data were analyzed and correlated with __
The data are presented in Table __
However, according to our data __
We undertake the empirical analysis using data collected in __
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 __
We compared the results with the original data in ways __
The evaluation of the data is shown in __
We explicitly accounted for __
Missing values were replaced using __
This analysis was confined to __
The evaluation of the data presented in this work leads to __
No.4
Statistical testing
We explored these effects statistically by __
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 __
We used __ statistics to report __
This had a statistically significant impact on __
The correlation between __ and __ is positive and statistically significant at __
We calculate __ statistic to test the null hypothesis that __
As shown in Table __ are statistically significant at all levels.
We can clearly see that the estimated values are positive and statistically significant at __
This revealed no statistical differences on __
The test for __ found no significant differences.
Our results show a statistically significant improvement in __
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 __
To investigate this statistically, we calculated __
Descriptive statistics were calculated for all variables used in the study using __
The significance testing was based on __
All statistical analyses were performed using __
No.5
Assumptions
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 __
No.6
Remit of the experiment
For the current work, it is sufficient to point out that __
Because we were interested in __, we considered only __
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 __
This is enough to get a sufficiently accurate solution.
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