From 3047571d1d24beae5075264764c2af8a389af841 Mon Sep 17 00:00:00 2001
From: mjkwiatkowski <mati.rewa@gmail.com>
Date: Tue, 2 Jun 2026 21:06:38 +0200
Subject: feat: fixed the plagiarism declaration

---
 content/intro.tex | 17 ++++++++++-------
 1 file changed, 10 insertions(+), 7 deletions(-)

(limited to 'content/intro.tex')

diff --git a/content/intro.tex b/content/intro.tex
index 6b92521..f221e01 100644
--- a/content/intro.tex
+++ b/content/intro.tex
@@ -83,22 +83,22 @@ We propose that digital twinning can be enhanced by integrating predictive analy
 
 \section{Research Questions}\label{s:research-questions}
 
-\textbf{Main Research Question} How to define, design and evaluate a predictive \gls{dcdt}?\\
+\emph{Main Research Question:} How to define, design and evaluate a predictive \gls{dcdt}?\\
 
 \noindent We divide the problem of designing a predictive \gls{dcdt} into three research questions:
-\begin{enumerate}[label=\textbf{RQ\arabic*.}, align=left]
-	\item \textbf{How to define a \gls{dcdt}?}\\
+\begin{enumerate}[label=\emph{RQ\textsubscript{\arabic*}}, align=left]
+	\item \emph{How to define a \gls{dcdt}?}\\
 	      There is currently a lack of a unified definition of what constitutes a \gls{dcdt}, and the differences between a \gls{dcdt} and a generic \gls{dt}.
 	      It is necessary that we establish a common definition of a \gls{dcdt} in the research community.
 	      We must develop a holistic \gls{dcdt} model that factors in the necessary components of a \gls{dt}.
 	      This is very challenging, because the \gls{dcdt} definition must address many kinds of operational and technical requirements, compatible with the existing background on \gls{dt}'s.
-	\item \textbf{How to design a \gls{dcdt} system model using discrete-event simulation and predictive data analysis?}
+	\item \emph{How to design a \gls{dcdt} system model using discrete-event simulation and predictive data analysis?}\\
 	      Existing \gls{dcdt} frameworks lack the necessary predictive capabilities to prevent unplanned behaviour in datacenters.
 	      In this work, we aim to explore the design space of a predictive \gls{dcdt} and the different design trade-offs.
 	      Through discrete-event simulation, we aim provide the foundation for the system model to interact with a physical datacenter.
 	      This is a very challenging task, because there are many functional and non-functional requirements of a \gls{dcdt} that need careful consideration.
 	      The architecture must comply with the generic \gls{dt} model and address the non-trivial challenges in operating a modern datacenter.
-	\item \textbf{How to evaluate and validate a \gls{dcdt} model in relation to system requirements}?
+	\item \emph{How to evaluate and validate a \gls{dcdt} model in relation to system requirements}?\\
 	      To understand the operation of the proposed system and whether it meets its design goals we need to measure it's performance.
 	      This is a challenging and non-trivial task that requires a careful design of a set of experiments that realistically show datacenter digital twin workings.
 
@@ -119,7 +119,7 @@ To answer the third research question, we will need to design comprehensive expe
 \section{Thesis Contributions}\label{s:thesis-contributions}
 
 
-\begin{enumerate}[label=\textbf{C\arabic*.}, align=left]
+\begin{enumerate}[label=\emph{C\textsubscript{\arabic*}}, align=left, labelsep=0pt]
 	\item An open-source \gls{dcdt} prototype for predictive facility maintenance, with data analysis supported by in-band and out-of-band telemetry and discrete-event simulation.
 	\item Extensive evaluation and validation experiments of the system.
 	\item Demonstration of the \gls{dcdt} in pair with a simulated datacenter.
@@ -127,7 +127,10 @@ To answer the third research question, we will need to design comprehensive expe
 
 \section{Plagiarism Declaration}\label{s:plagiarism-declaraion}
 I hereby declare that this thesis is my own independent work and writing.
-The thesis does not contain any material copied from other sources (person, Internet, or AI), and has not been submitted for assessment elsewhere.
+The thesis does not contain any material copied from other sources (person, Internet, or \gls{ai}), and has not been submitted for assessment elsewhere.
+I acknowledge that the usage of material from other works or paraphrase of such material without proper citations or credit will be treated as plagiarism.
+I declare that this thesis is free from \gls{ai} generated content and has been written without the help of any \gls{ai} systems.
+This work adheres to the guidelines and principles of the Artificial Intelligence Policy, UC Berkeley School of Law, Summer 2026\footnote{\url{https://www.law.berkeley.edu/wp-content/uploads/2026/05/AI-Final-Policy-26.pdf}}{}.
 
 \section{Societal Impact}\label{s:societal-impact}
 
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