글머리 기호 간격 늘리기

Question

다음을 시도해 보세요:

\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}

뒷면에서 테스트한 결과는 다음과 같습니다.

tabularx위의 MWE에서 나는 (내 취향에 따라) 테이블을 더 좋게 만드는 몇 가지 주제에서 벗어난 변경을 수행했습니다( 테이블 환경에 사용 , makecell셀 내용 위와 아래에 더 많은 수직 공간을 위해).

부록: 분명히 문서 클래스에는 패키지 를 사용하여 덮어쓸 수 있는 mdpi하드 코딩된 목록이 있습니다 . 또한 테이블에 를 사용 하면 및가 감소하는 것 같습니다 .itemizeenumitemitemize\parsep\itemsep

항목 사이의 수직 공간을 늘리는 한 가지 방법은 \\[1.5ex]각 항목의 끝 부분에 추가하는 것입니다. 이 솔루션을 사용하면 더 이상 패키지가 필요하지 않습니다 enumetem. 따라서 테이블의 목록은 위의 MWE에서와 같이 작성하거나 아래의 MWE에서 수행된 것처럼 새 열 유형을 정의할 수 있습니다.

\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}

이는 다음을 제공합니다:

Answer 1