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基于方程诊断算法的日本文学与心理治疗效果的相关分析。

Correlation Analysis of Japanese Literature and Psychotherapy Effects Based on an Equation Diagnosis Algorithm.

机构信息

College of Foreign Languages, Qiqihar University, Qiqihar Heilongjiang 161006, China.

出版信息

Occup Ther Int. 2022 Jun 11;2022:3032445. doi: 10.1155/2022/3032445. eCollection 2022.

DOI:10.1155/2022/3032445
PMID:35814359
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9206568/
Abstract

OBJECTIVE

On the basis of inheriting the classical aesthetic orientation of Japanese literature, contemporary Japanese literature changes the creative methods of traditional Japanese writers, strives to transcend the national limitations of Japanese literature, and strives to capture literary materials with a "modern feel." Combined with modern western literary techniques to express the "modern self," and integrating popular literature with pure literature, Japanese writers created a "healing" literature that is popular all over the world. There is some value in exploring the correlation between Japanese literature and the influence of psychotherapy.

METHOD

In this paper, an equation diagnosis algorithm based on iterative learning for a class of linear discrete systems is studied, and the existing discrete iterative learning diagnostics are improved. We exchange the order of time domain and iterative domain to achieve the purpose of point-by-point equation diagnosis. On this basis, a virtual influence initial value estimation algorithm with a sliding window is proposed. The impact that has not been diagnosed is estimated and used as the initial value of the impact, so as to reduce the number of iterations and improve the efficiency of equation diagnosis. This paper takes the public and readers as different perspectives, based on the use and satisfaction theory and prospect theory, and uses interviews and questionnaires to study the communication effect of Japanese literature from the three dimensions of cognition, emotion, and behavior. The cognitive part includes the public's understanding and readers' understanding and reading; the emotional part includes the public's and readers' impressions and emotional attitudes; the behavioral part includes the public's reading situation and readers' behavior changes. . In the survey of loyal readers, although readers' understanding of Japanese literature has improved compared with the general public, it is not high, and their liking and influence on behavior are slightly lower than the preset level. This paper believes that the existing problems of Japanese literature dissemination are mainly concentrated in three aspects: the market is somewhat biased, which narrows the cognitive scope of users; as a cross-cultural literary work, Japanese literature still makes readers feel that it exists; there is some sense of estrangement, which will affect their enjoyment in reading; as a niche interest, readers lack timely communication and sharing objects after reading, so it is difficult to enhance their sense of identity.

摘要

目的

在继承日本文学经典审美取向的基础上,当代日本文学改变了传统日本作家的创作方法,力求超越日本文学的民族局限性,努力用具有“现代感”的文学素材来捕捉“现代自我”,并将通俗文学与纯文学相结合,创作出风靡全球的“治愈”文学。探索日本文学与心理治疗的相关性具有一定的价值。

方法

本文研究了一类线性离散系统基于迭代学习的方程序诊断算法,并对现有的离散迭代学习诊断方法进行了改进。我们通过交换时域和迭代域的顺序,实现了逐点方程序诊断的目的。在此基础上,提出了一种具有滑动窗口的虚拟影响初始值估计算法。估计未诊断的影响,并将其用作影响的初始值,从而减少迭代次数,提高方程序诊断的效率。本文以公众和读者为不同视角,基于使用与满足理论和前景理论,采用访谈和问卷调查的方法,从认知、情感和行为三个维度研究了日本文学的传播效果。认知部分包括公众的理解和读者的理解与阅读;情感部分包括公众和读者的印象和情感态度;行为部分包括公众的阅读情况和读者的行为变化。在对忠实读者的调查中,虽然读者对日本文学的理解与公众相比有所提高,但并不高,他们的喜爱和对行为的影响略低于预设水平。本文认为,日本文学传播存在的问题主要集中在三个方面:市场有些偏颇,缩小了用户的认知范围;作为一种跨文化的文学作品,日本文学仍然让读者觉得它存在;存在一定的隔阂感,这会影响他们的阅读享受;作为一种小众兴趣,读者在阅读后缺乏及时的交流和分享对象,因此难以增强他们的认同感。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd9b/9206568/60bad7631bc1/OTI2022-3032445.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd9b/9206568/a3903a6cce10/OTI2022-3032445.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd9b/9206568/cdffbb426dbb/OTI2022-3032445.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd9b/9206568/a7d16e1b1795/OTI2022-3032445.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd9b/9206568/0c9b6fb48b06/OTI2022-3032445.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd9b/9206568/e36e25c5f4c5/OTI2022-3032445.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd9b/9206568/60bad7631bc1/OTI2022-3032445.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd9b/9206568/a3903a6cce10/OTI2022-3032445.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd9b/9206568/cdffbb426dbb/OTI2022-3032445.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd9b/9206568/a7d16e1b1795/OTI2022-3032445.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd9b/9206568/0c9b6fb48b06/OTI2022-3032445.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd9b/9206568/e36e25c5f4c5/OTI2022-3032445.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd9b/9206568/60bad7631bc1/OTI2022-3032445.006.jpg

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