1.首先finding和conclusion的顺序是什么样的呢? 这两个部分相对来讲都是essay的后半部分,finding一般是我们在写research的时候进行primary research所调查到的结果,而我们需要对这个结果进行分析与评估,所以一般情况下是在你的essay写完methodology之后进行结果的一个分析。而对于conclusion来讲,也就是结尾,当然就要放在文章...
1.首先finding和conclusion的顺序是什么样的呢? 这两个部分相对来讲都是essay的后半部分,finding一般是我们在写research的时候进行primary research所调查到的结果,而我们需要对这个结果进行分析与评估,所以一般情况下是在你的essay写完methodology之后进行结果的一个分析。而对于conclusion来讲,也就是结尾,当然就要放在文章...
3. 确定框架结构。同样推荐四段的一个结构：introduction （paraphrase+response to the questions），两个main body paragraphs (reasons + research methods)，以及最后的conclusion。以下是我的习作，供大家参考，有好的意见也请反馈给我哦。1. Introduction：对topic进行改写，并对题目中的问题做对简短的回应。It h...
1.论文的每一部分都是独特的，而一些一般和具体的规则必须遵守。 论文的发现部分是为了呈现你的研究的...
conclude,reason,reason out- decide by reasoning; draw or come to a conclusion; "We reasoned that it was cheaper to rent than to buy a house" rule,find- decide on and make a declaration about; "find someone guilty" 6.find- perceive or be contemporaneous with; "We found Republicans winnin...
VII. Conclusion 通常先给论文起个固定的名字,然后把论文的章节名称依次写出来,如 Introduction、Related Works、System Model 等,接着在每次需要具体写一个章节时,再去细化这个章节里的段落安排,这一章节需要安排几个段落,每段需要传达什么意思,中心思想是什么?
Discussion and conclusion In this study, we propose an improved MMGAT method for finding multiple ATAC-seq motifs based on the original MMGraph method. MMGAT is a GAT model, uses the attention mechanism to learn k-mer and sequence embeddings, and predicts TFBSs. ATAC-seq motifs are then fo...
Taisui is mainly found through seeing, tramping, and digging. Taisui findings lack subjective motivations and are connected with the life and production of the finders. Conclusion: Taisui is an object growing in earth layer. 展开 关键词: Taisui Finding Law Distribution Law China in Modern ...
Performance of pre-schoolers (5- and 6-year-olds; N = 20) was compared to elementary schoolers (9- and 10-year-olds, N = 20) in four tasks. Even pre-schoolers were able to conduct an optimal, systematic search. In contrast to previous research, results showed children’s ...
Conclusion and discussion In this paper, the problem of choosing representative samples from a point cloud on a manifold has been addressed. Different from previous work, we do not choose landmarks for training the manifold models, but for speeding up the nearest neighbour search on a manifold,...