第21章 用Prompt写科研论文

    用prompt写科研论文

    chat gpt如何助力科研

    论文润色

    prompt:

    i want you to act as an academic journal editor please

    rephrase the paragraph from academic angle based on

    the writing style of the ieee academic journal:

    ＞更专业的语法、句式、用词

    ＞建议小段输入，一次输入不过多

    ＞专业词汇易错，建议谨慎检查

    ＞可指出改进点，可用于论文降重

    ＞论文关键创新点部分谨慎使用

    根据 ieee 学术期刊的写作风格对该段文字的重构：

    原始段落：

    the aim of this study is to investigate the impact of social media usage on mental health among adolescents the study employs a mixed-methods research design, including both quantitative and qualitative data collection methods the quantitative data will be collected through a survey questionnaire administered to a sample of 500 adolescents aged 13-18 years old the qualitative data will be collected from in-depth interviews with a subset of the survey respondents the results of this study are expected to contribute to our understanding of the relationship between social media usage and mental health, and to guide policy makers and practitioners in addressing this important issue

    重写后的段落：

    the primary objective of this investigation is to examine the influence of social media utilization on the mental well-being of young people to achieve this objective, a mixed-methods research design that incorporates both quantitative and qualitative data gathering approaches will be employed a questionnaire-based survey will be conducted on a cohort of 500 preadolescents and adolescents aged between 13 to 18 years in order to gather the quantitative data the qualitative data will be drawn from in-depth interviews conducted with a selected number of survey participants it is anticipated that the findings of this empirical inquiry would enhance our prehension of the connection between social media use and mental health, and subsequently provide guidance to policy makers and practitioners working towards mitigating this critical predicament

    原始段落：

    the proposed system is designed to improve the efficiency and accuracy of medical image analysis the system is based on deep learning techniques, specifically convolutional neural works, which have demonstrated state-of-the-art performance in various puter vision tasks in addition, the system incorporates a novel attention mechanism that allows it to automatically focus on the most informative regions of the image to evaluate the performance of the system, we conducted experiments using two publicly available medical image datasets the results demonstrate that the proposed system outperforms existing methods in terms of both accuracy and putational efficiency

    重写后的段落：

    the aim of this endeavor is to enhance the productivity and precision of medical image analysis the proposed system leverages deep learning methodologies, more specifically convolutional neural works, which have proven their mettle by delivering best-in-class performance in diverse puter vision tasks additionally, the system incorporates a unique attention mechanism that enables it to selectively attend to the most relevant regions of the image to gauge the effectiveness of the system, we carried out a series of empirical analyses utilizing two well-established medical image datasets the outes of our experiments indicate that the suggested system outperforms its counterparts in terms of both accuracy and putational efficiency