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paper.tex
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paper.tex
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\usepackage{amsmath,amsfonts}
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\usepackage{amsmath,amsfonts}
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\usepackage{float}
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\usepackage{float}
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\usepackage{titlesec}
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\usepackage{algorithmic}
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\usepackage{algorithmic}
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\usepackage{algorithm}
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\usepackage{algorithm}
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\usepackage{siunitx}
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\usepackage{siunitx}
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@ -27,6 +28,32 @@
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\hyphenation{op-tical net-works semi-conduc-tor IEEE-Xplore}
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\hyphenation{op-tical net-works semi-conduc-tor IEEE-Xplore}
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%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% Template modifications
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%
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\titlespacing*{\section}
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{0mm}{3mm}{1mm}
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\makeatletter
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\def\@maketitle{%
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\newpage
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\null
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\vspace*{-4mm}
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\begin{center}%
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{\Huge \linespread{0.9}\selectfont \@title \par}%
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{\large
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\lineskip .5em%
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\begin{tabular}[t]{c}%
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\@author
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\end{tabular}\par}%
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\end{center}%
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\vspace*{-8mm}
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}
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\makeatother
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%
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%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% Inputs & Global Options
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% Inputs & Global Options
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@ -64,9 +91,7 @@
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\AtBeginBibliography{\footnotesize}
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\AtBeginBibliography{\footnotesize}
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%
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%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% Custom commands
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% Title, Header, Footer, etc.
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%
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%
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\newcommand\todo[1]{\textcolor{red}{#1}}
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\newcommand\todo[1]{\textcolor{red}{#1}}
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@ -79,7 +104,8 @@
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\begin{document}
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\begin{document}
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\title{The Effect of the Choice of Hydration Strategy on Average Academic
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\title{\vspace{-3mm}The Effect of the Choice of Hydration Strategy on
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Average Academic
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Performance}
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Performance}
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\author{Some concerned fellow students%
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\author{Some concerned fellow students%
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@ -98,11 +124,13 @@ Effect of the Choice of Hydration Strategy on Average Academic Performance}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%
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%
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% \vspace*{-10mm}
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\begin{abstract}
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\begin{abstract}
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We evaluate the \todo{\ldots} and project that by using the right button of
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We evaluate the \todo{\ldots} and project that by using the right button of
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the water dispenser to fill up their water bottles, students can potentially
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the water dispenser to fill up their water bottles, students can potentially
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gain up to \todo{5 minutes} of study time a day, which is equivalent to
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gain up to \todo{5 minutes} of study time a day, which is equivalent to
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raising their grades by up to \todo{0.01} levels.
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raising their grades by up to \todo{0.01} points.
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\end{abstract}
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\end{abstract}
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\begin{IEEEkeywords}
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\begin{IEEEkeywords}
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@ -115,7 +143,7 @@ Effect of the Choice of Hydration Strategy on Average Academic Performance}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%
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%
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\vspace*{-1mm}
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\vspace*{-5mm}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\section{Introduction}
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\section{Introduction}
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@ -161,6 +189,7 @@ for the behavioral measurement $113$ in total.
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\begin{figure}[H]
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\begin{figure}[H]
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\centering
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\centering
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\vspace*{-4mm}
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\begin{tikzpicture}
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\begin{tikzpicture}
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\begin{axis}[
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\begin{axis}[
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width=0.8\columnwidth,
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width=0.8\columnwidth,
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\caption{Flow rate of the water dispenser depending on the
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\caption{Flow rate of the water dispenser depending on the
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hydration strategy.}
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hydration strategy.}
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\label{fig:System}
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\label{fig:System}
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\vspace*{-2mm}
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\end{figure}
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\end{figure}
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\begin{figure}
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Fig. \ref{fig:System} shows the results of the system measurement.
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We observe that $S_\text{L}$ is the slowest strategy, while $S_\text{R}$
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and $S_\text{B}$ are similar. Due to the small sample size and the
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unknown distribution, the test we chose to verify this observation is a Mann
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Whitney U test. We found that $S _\text{L}$ is faster than $S_\text{R}$ with a
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significance of $p < 0.0001$, while no significant statement could be made
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about $S_\text{R}$ and $S_\text{B}$.
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Fig. \ref{fig:Behavior} shows the results of the behavioral measurement.
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% During this part of the experiment, we also measured the time each participant
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% needed to fill up their bottle. Using the measured flowrates we calculated
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% the mean refill volume to be $\SI{673.92}{\milli\liter}$.
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\begin{figure}[H]
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\centering
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\centering
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\vspace*{-2mm}
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\begin{tikzpicture}
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\begin{tikzpicture}
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\begin{axis}[
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\begin{axis}[
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ybar,
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ybar,
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\label{fig:Behavior}
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\label{fig:Behavior}
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\end{figure}
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\end{figure}
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Fig. \ref{fig:System} shows the results of the system measurement.
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We observe that $S_\text{L}$ is the slowest strategy, while $S_\text{R}$
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and $S_\text{B}$ are similar. Due to the small sample size and the
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unknown distribution, the test we chose to verify this observation is a Mann
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Whitney U test. We found that $S _\text{L}$ is faster than $S_\text{R}$ with a
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significance of $p < 0.0001$, while no significant statement could be made
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about $S_\text{R}$ and $S_\text{B}$.
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Fig. \ref{fig:Behavior} shows the results of the behavioral measurement.
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% During this part of the experiment, we also measured the time each participant
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% needed to fill up their bottle. Using the measured flowrates we calculated
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% the mean refill volume to be $\SI{673.92}{\milli\liter}$.
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\section{Discussion}
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\section{Modelling}
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We can consider the water dispenser and students as comprising a queueing
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We can consider the water dispenser and students as comprising a queueing
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system, specifically an M/G/1 queue \cite{stewart_probability_2009}.
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system, specifically an M/G/1 queue \cite{stewart_probability_2009}.
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@ -252,7 +283,8 @@ where $S$ denotes the service time (i.e., the time spent refilling a bottle),
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$\lambda$ the mean arrival time, and $\rho = \lambda \cdot E\mleft\{
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$\lambda$ the mean arrival time, and $\rho = \lambda \cdot E\mleft\{
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S \mright\}$ the system utilization. Using our
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S \mright\}$ the system utilization. Using our
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experimental data we can approximate all parameters and obtain
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experimental data we can approximate all parameters and obtain
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\todo{$W \approx 123$}.
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\todo{$W \approx \SI{4}{\second}$}. The difference to always using
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the fastest strategy can be calculated as \todo{$\SI{5}{\second}$}.
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% We examine the effects of the choice of hydration strategy. To
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% We examine the effects of the choice of hydration strategy. To
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% this end, we start by estimating the potential time savings possible by always
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% this end, we start by estimating the potential time savings possible by always
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% choosing the fastest strategy:%
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% choosing the fastest strategy:%
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% Using our experimental measurements we estimate $\todo{\Delta t =
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% Using our experimental measurements we estimate $\todo{\Delta t =
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% \SI{20}{\second}}$
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% \SI{20}{\second}}$
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Many attempts have been made in the literature to relate the time spent
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Strangely, it is the consensus of current research that there is only
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studying to academic achievement - see, e.g.
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a weak relationship between academic performance and invested time
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\cite{schuman_effort_1985, zulauf_use_1999, michaels_academic_1989,
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\cite{plant_why_2005}. Using the highest determined correlation we
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dickinson_effect_1990}.
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could find, \todo{$\rho = 0.18$ \cite{schuman_effort_1985}}, we
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The overwhelming consensus is that there is a significant relationship,
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estimate an upper bound on the possible grade gain of \todo{0.001}.
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though it is a weak one.
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\section{Discussion and Conclusion}
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Further research is needed to consolidate and expand on the results
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of this paper, e.g., by expanding on the modelling of the arrival
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process or further investigating the relationship between the study
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time and the resulting grade for the target demographic.
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Nevertheless, we believe this study serves as a solid first step
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towards the optimization of the study behaviour of KIT students and
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thus the betterment of society in general.
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% Many attempts have been made in the literature to relate
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% the time spent studying to academic achievement - see, e.g.
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% \cite{schuman_effort_1985, zulauf_use_1999, michaels_academic_1989,
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% dickinson_effect_1990}.
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% The overwhelming consensus is that there is a significant relationship,
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% though it is a weak one.
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%
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%
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\todo{
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\begin{itemize}
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\item Compute possible grade gain
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\end{itemize}}
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%Many of the studies were only performed over
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%Many of the studies were only performed over
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% a period of one week or even day, so we believe care should be taken when
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% a period of one week or even day, so we believe care should be taken when
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% generlizing these results. Nevertheless, the overwhelming consensus in the
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% generlizing these results. Nevertheless, the overwhelming consensus in the
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% literature is that a significant relationship exists, though it is a weak one.
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% literature is that a significant relationship exists, though it is a weak one.
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\section{Conclusion}
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% \section{Conclusion}
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In this study, we investigated how the choice of hydration strategy affects
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In this study, we investigated how the choice of hydration strategy
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the average academic performance. We found that always choosing to
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affects the average academic performance. We found that always
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press the right button leads to an average time gain of \todo{\SI{10}{\second}}
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choosing to press the right button leads to an average time gain of
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per day, which translates into a grade improvement of $\todo{0.001}$ levels.
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\todo{\SI{10}{\second}} \todo{per day}, which translates into a grade
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We thus propose a novel and broadly applicable strategy to boost the average
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improvement of $\todo{0.001}$ levels. We thus propose a novel and
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academic performance of KIT students: always pressing the right button.
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broadly applicable strategy to boost the average academic performance
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of KIT students: always pressing the right button.
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% Further research is needed to develop a better model of how the choice of
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% Further research is needed to develop a better model of how the choice of
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% hydration strategy is related to academic performance. We
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% hydration strategy is related to academic performance. We
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