增加项目符号间距

Question

请尝试以下操作：

\documentclass[journal,article,submit,moreauthors,pdftex,10pt,a4paper]{Definitions/mdpi}
\newcommand*{\textoverline}[1]{$\overline{\hbox{#1}}$} % simplified
%
\usepackage{ragged2e}
\usepackage{booktabs, makecell, tabularx}
\newcolumntype{L}{>{\RaggedRight}X}
\renewcommand\theadfont{\bfseries\normalsize}
\usepackage{enumitem}

\begin{document}
    \begin{table}[h]
\caption{Implemented methods, and corresponding computed metrics.}
\label{table:computed_metrics}
\small
\setlist[itemize]{ % nosep,         % <--- remove "nosep"
                    leftmargin=*,
                    before=\vspace{-0.6\baselineskip},
                    after=\vspace{-\baselineskip}
                }
\setcellgapes{3pt}
\makegapedcells
\begin{tabularx}{\linewidth}{>{\hsize=0.6\hsize\bfseries}L L
                             >{\hsize=1.4\hsize}L
                             }
    \toprule
Method name &   \thead{Metrics}    &   \thead{Method explanation}         \\
    \midrule
Simple statistical metrics
    &   \begin{itemize}
    \item Mean
    \item Standard deviation (SD)
        \end{itemize}
        &  Computes the mean value and the amount of variation (SD) of a feature's time-series.
        \\
Linear variability
    &   \begin{itemize}
    \item  Slope of regression ($\alpha$)
    \item Median variability ($m$)
        \end{itemize}
        & Calculates the variability of a feature's time-series, and studies how that variability progresses with time (increases [$\alpha>0$], decreases [$\alpha<0$] or maintains [$\alpha=0$]).
        \\
Non-linear variability
    &   \begin{itemize}
    \item Central tendency measurement (CTM)
        \end{itemize}
        & Computes the feature's time-series variability using difference plots. The higher the CTM, the lower the variability, and vice-versa.
        \\
P-wave amplitude dispersion
    &   \begin{itemize}
    \item Amplitude dispersion index (ADI)
        \end{itemize}
        & Quantitative indicator of P-wave morphology variability. The greater the ADI, the greater the variability, and vice-versa. Uses the P-waves' signal.
        \\
Heart rate variability
    &   \begin{itemize}
    \item \textoverline{RR}, SDRR, SDSD, RMSSD, NN20, pNN20, NN50, pNN50
    \item TP, VLF, LF, HF, pHF, pLF, LF/HF
        \end{itemize}
        & Studies the variability of the RR series using metrics from time- and frequency- domain. Gives indications on the autonomic nervous system.                                            \\
    \bottomrule
\end{tabularx}
    \end{table}
\end{document}

在背面测试的结果如下：

在上面的 MWE 中，我做了一些题外的改变，这些改变（根据我的喜好）使得表格更美观（用于tabularx表格环境，makecell在单元格内容上方和下方获得更多垂直空间）。

附录： 显然，文档类mdpi有硬编码itemize列表，可以使用enumitem包进行覆盖。此外，似乎itemize在表中使用时，和\parsep会\itemsep减少。

增加项目之间垂直空间的一种方法是\\[1.5ex]在每个项目结束后添加。使用此解决方案，您不再需要enumetem包装。因此，您可以像上面的 MWE 中一样编写表格中的列表，或者您可以像下面的 MWE 中一样定义新的列类型：

\documentclass[journal,article,submit,moreauthors,pdftex,10pt,a4paper]{Definitions/mdpi}
\newcommand*{\textoverline}[1]{$\overline{\hbox{#1}}$} % simplified
%
\usepackage{ragged2e}
\usepackage{booktabs, makecell, tabularx}
\renewcommand\theadfont{\bfseries\normalsize}
\renewcommand\theadgape{}
\newcolumntype{L}{>{\RaggedRight}X}
\makeatletter
\newcolumntype{I}{>{\minipage[t]{\linewidth}%
    \setlength{\leftmargini}{1em}
    \itemize%
           }L<{\@finalstrut\@arstrutbox\enditemize\endminipage}%
                }
\makeatother

\begin{document}
\begin{itemize}
    \item Mean
    \item Standard deviation (SD)
\end{itemize}
    \begin{table}[h]
\caption{Implemented methods, and corresponding computed metrics.}
\label{table:computed_metrics}
\small
\setcellgapes{3pt}
\makegapedcells
\begin{tabularx}{\linewidth}{>{\hsize=0.7\hsize\bfseries}L
                             I%{\textbullet}
                             >{\hsize=1.3\hsize}L
                             }
    \toprule
Method name 
    &   \multicolumn{1}{c}{\thead{Metrics}}    
                &   \thead{Method explanation}         
        \\
    \midrule
Simple statistical metrics
    &   \item Mean\\[1.5ex]
        \item Standard deviation (SD)
        &  Computes the mean value and the amount of variation (SD) of a feature's time-series.
        \\
Linear variability
    &   \item  Slope of regression ($\alpha$)\\[.51ex]
        \item Median variability ($m$)
        & Calculates the variability of a feature's time-series, and studies how that variability progresses with time (increases [$\alpha>0$], decreases [$\alpha<0$] or maintains [$\alpha=0$]).
        \\
Non-linear variability
    &   \item Central tendency measurement (CTM)
        & Computes the feature's time-series variability using difference plots. The higher the CTM, the lower the variability, and vice-versa.
        \\
P-wave amplitude dispersion
    &   \item Amplitude dispersion index (ADI)
        & Quantitative indicator of P-wave morphology variability. The greater the ADI, the greater the variability, and vice-versa. Uses the P-waves' signal.
        \\
Heart rate variability
    &   \item \textoverline{RR}, SDRR, SDSD, RMSSD, NN20, pNN20, NN50, pNN50\\[1.5ex]
        \item TP, VLF, LF, HF, pHF, pLF, LF/HF
        & Studies the variability of the RR series using metrics from time- and frequency- domain. Gives indications on the autonomic nervous system.                                            \\
    \bottomrule
\end{tabularx}
    \end{table}
\end{document}

这使：

Answer 1