Abstract
Suggested 250~300 characters, divided into 4~5 parts, the structure is as follows.
01, backgroundBackground: use one sentence to summarise the background of your research (the general background of the research or the specific role, etc.)
02, the purpose of bjective: with 12 sentences to describe the purpose of your research.
03、Method:Note that in the method, you should specify the type of study: the starting and ending time of the study, how to sample: what kind of statistical methods to use.
Introduction
The introduction generally contains the following parts.
01)General backgroundTo introduce the general scientific background of the study, including epidemiology and the current state of research, highlighting the authors’ understanding of the background of the disease.
02) Specific Background:Narrowing down to the subfield that will be addressed in the paper, and then re-emphasising the authors’ understanding of that subfield 03) Problems:After discussing the background knowledge that is known, clearly expressing the areas that are still unstudied, in particular the problems associated with this study, and highlighting the innovation and clinical significance of this study.
04. Purpose of the study: summarise the authors’ methodology and purpose of the study, noting that the novelty of the results can be summarised in 1 or 2 sentences in this section.
Materials and Methods
The Methods section describes the experimental process of the thesis, which is relatively simple to write, but requires a lot of attention, the important thing is in the sub-completeness and science. Complete means that every aspect of the experiment should be noted, do not lose sight of the other, omit an important content. methods section
Experimental objects, experimental equipment, experimental materials, experimental records, experimental analysis methods, etc. to organise the text. As long as you can do the following four aspects of a complete and scientific description, I believe that writing good Methods is not a major problem.
A. Experimental objects are generally human, animal or some tissues, their basic information should be described clearly: in addition to note that most of the foreign journals involved in human or animal experiments have some specific requirements, some of which are not allowed to carry out experimental operations in humans or animals, which need to carefully read the submission of the publication on the experiments of the details of the provisions of the weave: if a violation of the provisions of this rule may not be accepted for review or publication.
B. Experimental equipment, the model of the instrument, manufacturer, the experimental process of the use of detailed description; experimental equipment should be scientifically connected to the correct, do not give people the feeling of confusion or operation error. The use of equipment, some of the necessary steps are indispensable, especially on the results of the experiment may have a specific impact on the operation of the more detailed description of the benefits of doing so in order to be able to analyse the corresponding in the Discussion.
C. Experimental materials, different disciplines have different requirements. Generally speaking, it is important to explain the necessity of the material, i.e., why the material was chosen, preferably with some explanation. If this point is not described clearly, it may lead to the whole experimental process is not valid.
D. The experimental process, that is, a clear description of the entire operation of the experimental process, generally be accompanied by an experimental flow chart to illustrate. There are many ways to draw a flowchart, some are text-based, some are a combination of text and diagrams, and some are different for different experiments. Generally speaking, the latter may be more common (especially in experimental disciplines), because it enables the reviewer to understand the experiment.
This will enable the reviewer to understand the experimental process at a glance.
Results
Some people write Results and Discussion together, but most arguments*** are separate.
These two approaches depend on the type of article; if your results are more appropriately discussed alongside the analysis, and are not suitable for separate analysis, it is appropriate to combine them: conversely, they should be written separately.
A. Results are required to be informative and accurate. Accuracy means that the results must be true and cannot be falsified or altered. Informative is to provide the most comprehensive analysis of the results, all the results obtained from the experiment are provided to the reader, do not deliberately conceal or omit some important results.
B. Results are generally provided in tables and figures. Different journals do not have exactly the same requirements for graphs and tables, and they should be treated separately according to the requirements of the journals. Tables can clearly show the first-hand results obtained in the paper, and can be easily quoted and compared by future researchers. The combination of graphs and charts can complement each other and enrich the presentation of results.
Therefore, it is recommended that you provide as many figures as possible with as much information as possible in as few figures as possible, up to a maximum of eight.
C. When Results and Discussion are written separately, try not to comment on the results in the Results section. Otherwise, the content of the two parts will overlap and become cumbersome, which will be unfavourable to the Discussion. The description of the results should also pay attention to the hierarchical arrangement, in accordance with the requirements of the rationality of the description of the separate, logical.
D. Statistical results should be provided in most of the Results. The form of ANOVA results should be given according to the format of the publication some require detailed information on the analysed values, degrees of freedom and probabilities, while others only need the analysed values and probabilities. Probability can be given in the form of p=0. 02 or p<0. 03, etc. There are also special requirements for the expression of degrees of freedom. These details are not very relevant, but pay attention to the uniformity of the format and do not be messy and fragmented. When the results of statistical analysis is too much, it can be given in a table, specifically refer to the results after the SPSS software analysis.
