请收藏！SCI论文中Results & Discussion常用句式总结
本节应突出显示重要或有趣的发现以及用于统计测试的 P 值。请务必包括负面结果，并突出显示论文的潜在局限性。如果你不讨论你的研究的缺点，你将受到评论者的批评。这往往弥补了一个伟大的讨论部分，所以不要害怕突出他们。
From the short review above, key findings emerge: __
We describe the results of __, which show __
This suggests that __
We showed that __
Our findings on __ at least hint that __
This is an important finding in the understanding of the __
The present study confirmed the findings about __
Another promising finding was that __
Our results demonstrated that __
This result highlights that little is known about the __
A further novel finding is that __
Together, the present findings confirm __
The implications of these findings are discussed in __
The results demonstrate two things.
The results of the experiment found clear support for the __
This analysis found evidence for __
Planned comparisons revealed that __
Our results casts a new light on __
This section summarizes the findings and contributions made.
It performs well, giving good results.
This gives clearly better results than __
The results confirm that this a good choice for __
From the results, it is clear that __
In this section, we will illustrate some experimental results.
This delivers significantly better results due to __
The result now provides evidence to __
It leads to good results, even if the improvement is negligible.
This yields increasingly good results on data.
The result of this analysis is then compared with the __
The applicability of these new results are then tested on __
This is important to correctly interpret the results.
The results are substantially better than __
The results lead to similar conclusion where __
Superior results are seen for __
From these results it is clear that __
Extensive results carried out show that this method improves __
We obtain good results with this simple method.
However, even better results are achieved when using our algorithm.
It is worth discussing these interesting facts revealed by the results of __
Overall, our method was the one that obtained the most robust results.
Slightly superior results are achieved with our algorithm.
The result is equal to or better than a result that is currently accepted.
The results demonstrated in this chapter match state of the art methods.
Here we compare the results of the proposed method with those of the traditional methods.
These results go beyond previous reports, showing that __
In line with previous studies, __
This result ties well with previous studies wherein __
Contrary to the findings of __ we did not find __
They have demonstrated that __
Others have shown that __ improves __
By comparing the results from __, we hope to determine __
However, in line with the ideas of __, it can be concluded that __
When comparing our results to those of older studies, it must be pointed out that __
We have verified that using __ produces similar results
Overall these findings are in accordance with findings reported by __
Even though we did not replicate the previously reported __, our results suggest that __
A similar conclusion was reached by __
However, when comparing our results to those of older studies, it must be pointed out __
This is consistent with what has been found in previous __
A similar pattern of results was obtained in __
The findings are directly in line with previous findings
These basic findings are consistent with research showing that __
Other results were broadly in line with __
Because of the lack of __ we decided to not investigate __
One concern about the findings of __ was that __
Because of this potential limitation, we treat __
The limitations of the present studies naturally include __
Regarding the limitations of __, it could be argued that __
Another limitation of this __
This limitation is apparent in many __
Another limitation in __ involves the issue of __
The main limitation is the lack of __
One limitation is found in this case.
One limitation of these methods however is that they __
It presents some limitations such as __
Although widely accepted, it suffers from some limitations due to __
An apparent limitation of the method is __
There are several limitations to this approach.
One limitation of our implementation is that it is __
A major source of limitation is due to __
The approach utilised suffers from the limitation that __
The limitations are becoming clear __
It suffers from the same limitations associated with a __
A popular explanation of __ is that __
It is by now generally accepted that __
A popular explanation is that __
As it is not generally agreed that __
These are very small and difficult to observe.
It is important to highlight the fact that __
It is notable that __
An important question associated with __ is __
This did not impair the __
This is important because there is __
This implies that __ is associated with __
This is indicative for lack of __
This will not be biased by __
There were also some important differences in __
It is interesting to note that, __
It is unlikely that __
This may alter or improve aspects of __
In contrast, this makes it possible to __
This is particularly important when investigating __
This has been used to successfully account for __
This introduces a possible confound in __
This was included to verify that __
However, we acknowledge that there are considerable discussions among researchers as to __
We speculate that this might be due to __
There are reasons to doubt this explanation of __
It remains unclear to which degree __ are attributed to __
However, __ does seem to improve __
This does seem to depend on __
It is important to note, that the present evidence relies on __
The results show that __ does not seem to impact the __
However, the extent to which it is possible to __ is unknown
Alternatively, it could simply mean that __
It is difficult to explain such results within the context of __
It is unclear whether this is a suitable for __
This appears to be a case of __
From this standpoint, __ can be considered as __
To date, __remain unknown
Under certain assumptions, this can be construed as __
Because of this potential limitation, we treat __
In addition, several questions remain unanswered.
At this stage of understanding, we believe__
Therefore, it remains unclear whether __
This may explain why __
A difference between these __ can only be attributable to __
Nonetheless, we believe that it is well justified to __
This may raise concerns about __ which can be addressed by __
As discussed, this is due to the fact that __
Results demonstrate that this is not necessarily true.
These findings support the notion that __ is not influenced by __
This may be the reason why we did not find __
In order to test whether this is equivalent across __, we __
Therefore, __ can be considered to be equivalent for __