style: reversed the previous changes to a more simple layout

7 files changed, 36 insertions, 42 deletions

diff --git a/build/main.fdb_latexmk b/build/main.fdb_latexmk
index 70e6c89..c62ac98 100644
--- a/build/main.fdb_latexmk
+++ b/build/main.fdb_latexmk
@@ -1,13 +1,13 @@
 # Fdb version 4
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+["bibtex build/main"] 1781524610.62657 "build/main.aux" "build/main.bbl" "build/main" 1781526190.15012 0
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+  "build/main.aux" 1781526190.01685 4841 8e41609bece7ec61f31a0fffd7080093 "pdflatex"
   (generated)
   "build/main.bbl"
   "build/main.blg"
   (rewritten before read)
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+["pdflatex"] 1781526188.93187 "main.tex" "build/main.pdf" "main" 1781526190.15024 0
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@@ -308,10 +308,10 @@
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   "build/main.bbl" 1781524610.66436 7385 ebb376ed26be34664c64306358b7ab86 "bibtex build/main"
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-  "build/main.out" 1781524938.37107 0 d41d8cd98f00b204e9800998ecf8427e "pdflatex"
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@@ -319,7 +319,7 @@
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diff --git a/build/main.fls b/build/main.fls
index 07c42bb..11edf3e 100644
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 INPUT ./images/vu-logo.png
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diff --git a/build/main.log b/build/main.log
index 6ad01a2..6d93a5f 100644
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diff --git a/build/main.pdf b/build/main.pdf
index 92de86f..378e3c4 100644
--- a/build/main.pdf
+++ b/build/main.pdf
diff --git a/build/main.synctex.gz b/build/main.synctex.gz
index 8302601..a02005a 100644
--- a/build/main.synctex.gz
+++ b/build/main.synctex.gz
diff --git a/indent.log b/indent.log
index 6f99d3a..1fd3582 100644
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+++ b/indent.log
@@ -1,6 +1,6 @@
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-       Mon Jun 15 14:01:35 2026
+       Mon Jun 15 14:03:32 2026
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diff --git a/main.tex b/main.tex
index 0523307..a57b0a2 100644
--- a/main.tex
+++ b/main.tex
@@ -28,21 +28,19 @@
 \end{frame}
 
 \begin{frame}\frametitle{Problem Statement II}
-	\begin{tcolorbox}[title=What are predictive analytics?]
+	\begin{tcolorbox}[title=What are predictive analytics? Why are they important?]
 		Predictive analytics use statistics to predict events in advance.
 		Almost any statistical model can be used for predictive analytics, but nowadays predictive analysis is mostly associated with Artificial Intelligence and Machine Learning (\emph{e.g.,} linear regression).
+               Reducing failures with timely predictions could potentially save millions of \$USD~\cite{DBLP:conf/acsos/TalluriOVTI21}.
 	\end{tcolorbox}
-	\begin{tcolorbox}[title=Why are predictive analytics important?, colback=Brown!20, colbacktitle=Brown!80!black]
-
-		Reducing failures with timely predictions could potentially save millions of \$USD~\cite{DBLP:conf/acsos/TalluriOVTI21}.
-	\end{tcolorbox}
+                
 	\begin{center}
-		\includegraphics[width=0.7\linewidth]{images/predictive_analytics.pdf}
+		\includegraphics[width=0.85\linewidth]{images/predictive_analytics.pdf}
 	\end{center}
 	\tiny
 	\textbf{Figure 1.2:} Where does our work fit within the field of datacenter digital twinning?
-	\myCircled{A} Digital $\rightarrow$ Physical Twin link, \myCircled{B} Physical Twin, \myCircled{C} Physical $\rightarrow$ Digital Twin link, \myCircled{D} Digital Twin, \myCircled{E} core Digital Twin features.
-	\textcolor{ForestGreen}{\faHighlighter~Highlighted areas are our novel contributions: the autonomous actions resulting from predictive insights \myCircledGreen{A} and the predictive analysis itself within \myCircledGreen{E}.}
+	There are 5 core elements to any Digital Twin: \myCircled{A} The Digital $\rightarrow$ Physical Twin link, \myCircled{B} the Physical Twin (\emph{e.g.,} the datacenter), \myCircled{C} the Physical $\rightarrow$ Digital Twin link, \myCircled{D} the Digital Twin, \myCircled{E} the features necessary to any Digital Twin.
+	\textcolor{ForestGreen}{\faHighlighter~Highlighted areas are the contributions from this thesis, which include the autonomous actions resulting from predictive insights \myCircledGreen{A} and the predictive analysis itself within \myCircledGreen{E}.}
 \end{frame}
 
 \begin{frame}\frametitle{Research Questions}