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@ -103,12 +103,12 @@
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\vfill
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Šiuo metu prieinami linijų supaprastinimo algoritmai yra kilę iš
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matematikos ir geometrijos, bei yra netinkami lankstiems geografiniams
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objektams, tokiems kaip upės ir pakrantės. {\WirM} ištyrė, kaip kartografai
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vykdo upių generalizaciją, ir sukūrė algoritmą. Mes realizavome šį
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Šiuo metu esami linijų supaprastinimo algoritmai yra kilę iš matematikos ir
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geometrijos, bet nėra tinkami lankstiems geografiniams objektams, tokiems
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kaip upės ir pakrantės, atvaizduoti. {\WirM} ištyrė, kaip kartografai
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atlieka upių generalizaciją, ir sukūrė algoritmą. Mes realizavome šį
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algoritmą ir išsamiai jį dokumentavome. Mūsų {\WM} realizacija ir
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dokumentacija yra nemokami ir laisvai prieinami naudojant PostGIS
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dokumentacija yra nemokamos ir laisvai prieinamos, naudojant PostGIS
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platformą.
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\end{abstract}
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@ -164,7 +164,7 @@ viewed as a task of finding a delicate balance between two competing goals:
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\end{itemize}
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Given the discussed complexities with natural features, a fine line between
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under-simplification (leaving object as-is) and over-simplification (making a
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under-simplification (leaving an object as-is) and over-simplification (making a
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straight line) needs to be found. Therein lies the complexity of simplification
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algorithms: all have different trade-offs.
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@ -265,7 +265,7 @@ Same rivers, unprocessed but in higher scales (1:\numprint{50000} and
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river features are so compact that a reasonably thin line depicting the river
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is touching itself, creating a thicker line. We can assume that some
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simplification for scale 1:\numprint{50000} and especially for
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1:\numprint{250000} are worthwhile.
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1:\numprint{250000} is worthwhile.
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\begin{figure}[ht]
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\centering
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@ -484,7 +484,7 @@ Lack of robust openly available generalization algorithm implementations poses
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a problem for map creation with free software: there is no high-quality
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simplification algorithm to create down-scaled maps, so any cartographic work,
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which uses line generalization as part of its processing, will be of sub-par
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quality. We believe that availability of high-quality open-source tools is an
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quality. We believe that the availability of high-quality open-source tools is an
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important foundation for future cartographic experimentation and development,
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thus it benefits the cartographic society as a whole.
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@ -785,7 +785,7 @@ code.
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Besides testing for specific cases, an automated test suite ensures future
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stability and longevity of the implementation itself: when new contributors
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start changing code, they have higher assurance they have not broken
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already-working code.
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an already-working code.
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\subsection{Reproducibility}
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\label{sec:reproducing-the-paper}
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@ -811,7 +811,7 @@ example reference for anyone willing to start using the algorithm.
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\section{Algorithm Implementation}
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Like alluded in section~\ref{sec:introduction}, {\WM} paper skims over
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As alluded in section~\ref{sec:introduction}, {\WM} paper skims over
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certain details which are important to implement the algorithm. This section
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goes through each algorithm stage, illustrating the intermediate steps and
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explaining the author's desiderata for a more detailed description.
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@ -912,7 +912,7 @@ purpose of each column in \textsc{wm\_debug} is described below:
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When debug mode is turned off (that is, \textsc{dbgname} is left unspecified),
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\textsc{wm\_debug} is empty and the algorithm runs slightly faster.
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\subsection{Merging Pieces of the River into One}
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\subsection{Merging Pieces of a River into One}
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Example river geometries were sourced from OpenStreetMap\cite{openstreetmap}
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and NŽT\cite{nzt}. Rivers in both data sources are stored in shorter line
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@ -988,7 +988,7 @@ table~\ref{table:scale-halfcirlce-diameter}.
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\subsection{Definition of a Bend}
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\label{sec:definition-of-a-bend}
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The original article describes a bend as:
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The original article describes a bend as follows:
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\begin{displaycquote}{wang1998line}
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A bend can be defined as that part of a line which contains a number of
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@ -1359,7 +1359,7 @@ of exaggeration operator:
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\end{description}
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Both functions are inter-change-able and can be found in listing~\ref{lst:wm.sql}.
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Both functions are interchangeable and can be found in listing~\ref{lst:wm.sql}.
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Figure~\ref{fig:isolated-1-exaggerated} illustrates an exaggerated bend using
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\textsc{wm\_exaggerate\_bend2}.
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@ -1371,9 +1371,9 @@ generalization, and suggests specific improvements.
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One of our goals is to compare the generalized lines with the official
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generalized dataset\cite{nzt}. Therefore, we have selected the target scales
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that the official sources offer too: 1:\numprint{50000} and
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that the official sources offer, too: 1:\numprint{50000} and
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1:\numprint{250000}. The \textsc{dhalfcircle} values for the subset are as
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follows:
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follow:
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\begin{table}[ht]
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\centering
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@ -1394,7 +1394,7 @@ Our generalized results are viewed from the following angles:
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\subsection{Generalization Results of Analyzed Rivers}
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\label{sec:generalization-results-of-analyzed-rivers}
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\subsubsection{Medium-scale (1:\numprint{50000})}
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\subsubsection{Medium-Scale (1:\numprint{50000})}
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\label{sec:analyzed-medium-scale}
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\begin{figure}[h!]
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@ -1427,7 +1427,7 @@ Figure's~\ref{fig:salvis-wm75--grpk10-1x50k} left part is clipped to
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Figure~\ref{fig:salvis-wm75--grpk10-1x50ktl}. As one can see, some bends were well
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exaggerated, and some bends were eliminated.
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Top--right side (clipped in Figure~\ref{fig:salvis-wm75--grpk10-1x50ktl}) some jagged
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Top--right side (clipped in Figure~\ref{fig:salvis-wm75--grpk10-1x50ktl}), some jagged
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and sharp bends appear. These will become more pronounced in even larger-scale
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simplification in the next section.
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@ -1436,7 +1436,7 @@ sharp edges for others.
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\clearpage
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\subsubsection{Large-scale (1:\numprint{250000})}
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\subsubsection{Large-Scale (1:\numprint{250000})}
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\label{sec:analyzed-large-scale}
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As visible in Figure~\ref{fig:salvis-wm220-10x}, for large-scale map, some of the
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@ -1470,7 +1470,7 @@ simplification and overlays the original.
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A conglomeration of bends is visible, especially in top--right side of the
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illustration. We assume this was caused by two bends significantly exaggerated,
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leaving no space to exaggerate for those between the two.
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leaving no space to exaggerate those between the two.
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\subsubsection{Discussion}
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@ -1495,17 +1495,17 @@ future research and improvement:
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\subsubsection{Background}
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There are a few datasets used in this comparison: GRPK10, GRPK50 and
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GRPK250. They are vector datasets, which include rivers. They can be
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GRPK250. They are vector datasets which include rivers. They can be
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downloaded for free from \cite{nzt}. Here are the meanings of the codenames:
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\begin{description}
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\item[GRPK10] is dataset of highest detail. Suited for maps of scale
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\item[GRPK10] is a dataset of highest detail. Suited for maps of scale
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1:\numprint{10000}.
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\item[GRPK50] is suited for maps of scale 1:\numprint{50000}.
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\item[GRPK250] offers least detail, and is suited for maps of
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\item[GRPK250] offers the least detail, and is suited for maps of
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scale 1:\numprint{250000}.
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\end{description}
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@ -1515,7 +1515,7 @@ During the analysis, we ran {\WM} on GRPK10 for 2 destination scales:
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detailed in section~\ref{sec:bend-scaling-and-dimensions}.} This section
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compares the resulting {\WM}--generalized rivers to GRPK50 and GRPK250.
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\subsubsection{Medium-scale (1:\numprint{50000})}
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\subsubsection{Medium-Scale (1:\numprint{50000})}
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For our research location, the national dataset GRPK10 is almost equivalent to
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GRPK50, with a few nuances. Figure~\ref{fig:salvis-wm75-grpk50-grpk10-1x50k}
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@ -1552,7 +1552,7 @@ implementation.
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\clearpage
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\subsubsection{Large-scale (1:\numprint{250000})}
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\subsubsection{Large-Scale (1:\numprint{250000})}
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\label{sec:national-large-scale}
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Figure~\ref{fig:salvis-wm220} illustrates the original GRPK250 and the
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@ -1582,7 +1582,7 @@ desired in section~\ref{sec:future-suggestions}.
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\subsection{Comparison with {\DP} and {\VW}}
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It is time to visually compare our implementation with the classical
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algorithms: {\DP}, {\VW} and Chaikin. Since we have established more work is
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algorithms: {\DP}, {\VW} and Chaikin. Since we have established that more work is
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needed for small-scale maps (1:\numprint{250000}), we will limit the comparison
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in this section to 1:\numprint{50000}.
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@ -1675,9 +1675,9 @@ implementation:
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limits are necessary.
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\item Research when bends should be marked as \textsc{isolated}. As is
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seen from examples, the current criteria is not robust enough.
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seen from examples, the current criteria are not robust enough.
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\item Once the points above yield a satisfactory result, efficiency of the
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\item Once the points above yield a satisfactory result, the efficiency of the
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algorithm could be improved to work on the lines in "streaming" fashion
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(more details in section~\ref{sec:algorithm-implementation-process}).
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@ -1716,7 +1716,7 @@ This section contains code listings of the {\WM} algorithm.
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\subsection{Re-Generating This Paper}
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\label{sec:code-regenerate}
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Like explained in section~\ref{sec:reproducing-the-paper}, illustrations in
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As explained in section~\ref{sec:reproducing-the-paper}, illustrations in
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this paper are generated from a small list of sample geometries. To observe
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the source geometries or regenerate this paper, run this script (assuming
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the name of this document is \textsc{mj-msc-full.pdf}).
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