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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