chengyewang/TexOCR-eval huggingface dataset:
\subsection{1.1.2 Enflasyon}

IMF, ``World Economic Outlook'' Ekim-2018 raporunda enflasyonun yüksek enerji fiyatlarına rağmen gelişmiş ve gelişmekte olan ülkelerde Venezuela hariç hedeflerin altında gerçekleştiğini vurgulandı.

Türkiye Cumhuriyeti Hazine ve Maliye Bakanlığı’nın yayınladığı 2019-2021 Orta Vadeli Program’da (OVP) enflasyon oranının 2019 yılında \%15.9, 2020 yılında \%9.8 ve 2021 yılında ise \%6.0 seviyesinde gerçekleşmesi hedeflenmiştir. 2018 yılında ise Türkiye’de enflasyon \%20.3 olarak gerçekleşmiştir (tablo \ref{tab:table_1}, Grafik \ref{fig:figure_3}).

\begin{table}[h]
\centering
\caption{TÜKETİCİ FİYATLARI (YILLIK ORTALAMA, \%)}
\label{table_1}
\begin{tabular}{lccccc}
\hline
 & 2017 & 2018 & 2019 & 2020 & 2021 \\
\hline
Gelişmiş Ülkeler & 1.7 & 2.0 & 1.9 & 2.0 & 2.0 \\
ABD & 2.1 & 2.4 & 2.1 & 2.3 & 2.2 \\
Euro Bölgesi & 1.5 & 1.7 & 1.7 & 1.8 & 1.9 \\
Almanya & 1.7 & 1.8 & 1.8 & 2.1 & 2.3 \\
Fransa & 1.2 & 1.9 & 1.8 & 1.8 & 1.8 \\
İtalya & 1.3 & 1.3 & 1.4 & 1.5 & 1.6 \\
İspanya & 2.0 & 1.8 & 1.8 & 1.9 & 1.9 \\
Japonya & 0.5 & 1.2 & 1.3 & 1.7 & 1.1 \\
İngiltere & 2.7 & 2.5 & 2.2 & 2.0 & 2.0 \\
Kanada & 1.6 & 2.6 & 2.2 & 2.1 & 2.1 \\
Diğer Gelişmiş Ülkeler & 1.5 & 1.7 & 1.8 & 1.9 & 2.0 \\
Yeni Sanayileşen Asya Ülkeleri & 2.4 & 3.0 & 3.2 & 3.3 & 3.3 \\
Gelişmekte Olan Ülkeler & 4.3 & 5.0 & 5.2 & 4.6 & 4.3 \\
Türkiye (Yıl sonu itibarıyla) & 11.9 & 20.3* & 15.9 & 9.8 & 6.0 \\
KKTC (Yıl sonu itibarıyla) & 14.7 & 30.0* & 16.7 & 10.5 & 9.5 \\
\hline
\end{tabular}

\vspace{0.2cm}

{\small * Gerçekleşme rakamları}

{\small Kaynak: IMF, World Economic Outlook, Ekim 2018, TC Kalkınma Bakanlığı-OVP (2019-2021), Devlet Planlama Örgütü}
\end{table}
\begin{table}[h]
\centering
\caption{Correlation between Targeted Investment Categories}
\label{table_4}
\begin{tabular}{lcccccc}
\hline
 & Mechanical & Chemical & Monitoring Devices & Information Technology & Other & Total \\
\hline
Mechanical & 1.000 & -- & -- & -- & -- & -- \\
Chemical & -0.069 & 1.000 & -- & -- & -- & -- \\
Monitoring Devices & 0.558 & -0.072 & 1.000 & -- & -- & -- \\
Information Technology & 0.700 & -0.142 & 0.871 & 1.000 & -- & -- \\
Other & 0.507 & -0.011 & 0.178 & 0.414 & 1.000 & -- \\
Total & 0.969 & -0.059 & 0.691 & 0.825 & 0.543 & 1.000 \\
\hline
\end{tabular}

1. The reported numbers are the Spearman rank-order correlation coefficients.
\end{table}
\begin{table}[ht]
\centering
\caption{Results of model selection and loglinear analyses for graphed emotion types by age group (A), protagonist (P) and emotion intensity (E)}
\label{table_2}
\begin{tabular}{lllll}
\hline
Emotion Type & Effect & d.f. & p & z-value \\
\hline
Sequential & A & 1 & .056 & .635 \\
Sequential & P & 1 & <.001 & 1.65 \\
Sequential & E & 1 & .410 & .688 \\
Sequential & A x P & 3 & .071 & -.217 \\
Sequential & A x E & 3 & .063 & .248 \\
Sequential & P x E & 3 & .089 & .874 \\
Sequential & A x P x E & 7 & .500 & .667 \\
\hline
Prevalent & A & 1 & .430 & -.787 \\
Prevalent & P & 1 & .560 & -.923 \\
Prevalent & E & 1 & .078 & .352 \\
Prevalent & A x P & 3 & .870 & .156 \\
Prevalent & A x E & 3 & .494 & .688 \\
Prevalent & P x E & 3 & .065 & .066 \\
Prevalent & A x P x E & 7 & .524 & .637 \\
\hline
Inverse & A & 1 & .052 & -2.142 \\
Inverse & P & 1 & <.001 & 1.31 \\
Inverse & E & 1 & .821 & -.227 \\
Inverse & A x P & 3 & .080 & -.218 \\
Inverse & A x E & 3 & .380 & .877 \\
Inverse & P x E & 3 & .064 & -1.997 \\
Inverse & A x P x E & 7 & .419 & .807 \\
\hline
Highly simultaneous & A & 1 & .033 & 1.55 \\
Highly simultaneous & P & 1 & .021 & 1.04 \\
Highly simultaneous & E & 1 & .033 & 1.55 \\
Highly simultaneous & A x P & 2 & .489 & .716 \\
Highly simultaneous & A x E & 2 & .041 & 1.37 \\
Highly simultaneous & P x E & 2 & .361 & .914 \\
Highly simultaneous & A x P x E & 7 & .478 & .233 \\
\hline
\end{tabular}
\end{table}
subjects \cite{Baenninger_Greco_1991}. The questionnaire results are shown in Table~\ref{tab:table_1}. Particular situations reported by some as conducive to yawning included lectures (75\%), being tired or lacking sleep (32\%), being under stress, or seeing other people yawn. To us it is noteworthy that there is no real consensus about situations or stimuli associated with yawning.

\begin{table}[h]
\centering
\caption{Yawning Questionnaire}
\label{tab:table_1}
\begin{tabular}{lccc}
Situation & Likely & Unlikely & Unknown \\
Listening to speech or lecture & 118 & 27 & 12 \\
Sitting in a traffic jam & 60 & 82 & 15 \\
Waiting for a train or bus & 66 & 60 & 26 \\
Driving at night on lonely highway & 90 & 47 & 15 \\
Driving on sunny day (no traffic) & 19 & 113 & 20 \\
While giving a speech or lecture & 4 & 140 & 8 \\
Waiting to begin a competitive event & 18 & 120 & 14 \\
Being interviewed for a job & 4 & 136 & 12 \\
Lying in bed before falling asleep & 83 & 57 & 12 \\
Getting out of bed in the morning & 121 & 29 & 2 \\
\end{tabular}
\end{table}

Yawn more in: morning 38 (25\%) afternoon 64 (42\%) evening 40 (26\%) no response 10

Yawn more while:

tired 25

lecture/class 29

lack of sleep 15

stress 9

after a meal 8

see others yawn 8

working 7

study at night 4

in church 4

\section{GENERAL DISCUSSION}

Although there were areas of agreement between the two studies some discrepancies emerged that may reflect differences between keeping a log and responding to a survey: The former represents what subjects actually do, and the latter represents what they believe they do. For example, the log data indicated no relationship between sleep duration and yawning frequency during the following day; survey results indicated that respondents believe that there is a relationship.

Survey respondents believed that they yawn more in the afternoon than in either the morning or evening, but the log results flatly contradict this belief because afternoon hours were when the percentages of daily yawns fell to their lowest levels. Survey respondents believed that lying in bed at night and arising in the morning were both situations where yawning was frequent. Partly supporting this finding, the logs in Study 1 showed that the first hour after waking and the last hour before bed were the times when most yawns occurred, although the logs indicated that it is the activities that accompany retiring to bed and arising in the morning that are associated with yawning. In any event, this temporal variation supports findings of \cite{Provine_Hamernik_Curchak_1987} in humans and of \cite{Arias_Holmgren_UrbaHolmgren_Eguibar_1984} in rats. In rats of a strain selectively bred for a high frequency of yawning (Urba-
consisting of planning, implementation, and learning obtained from the following results. A learning planning assessment is carried out using a questionnaire instrument that answers 5 items with 5 alternative answers and the respondent is obliged to choose one that answers the answer. Thus the score is 5 as the lowest score and 25 as the highest score that can be obtained by respondents. Based on the theoretical score, the frequency distribution of each category can be seen in the following:

\begin{table}[h]
\centering
\caption{Measurement of Learning Planning}
\label{table_1}
\begin{tabular}{lllll}
Category & Range & Midpoint & Frequency & Percentage \\
Very good & 21-25 & 23 & 54 & 60.00\% \\
Well & 17-20 & 19 & 33 & 36.67\% \\
Quite good & 13-16 & 15 & 3 & 3.33\% \\
Not good & 9-12 & 11 & 0 & 0.00\% \\
Bad & 5-8 & 7 & 0 & 0.00\%
\end{tabular}
\end{table}

Based on the frequency distribution in the table above, it gives an overview of learning planning with a percentage of 60.00\% learning planning is very well implemented, 36.67\% percentage in the learning planning table is implemented well and the percentage is 3.33\% learning planning at physics teacher very well done. Based on this fact shows that physics teachers at SMA Negeri 19 Makassar have planned physics learning. Enabling writers to consider planning to learn, a physics teacher at SMA Negeri 19 Makassar is included in the very well implemented category. For more details can be seen in the following histogram.

\begin{figure}[h]
\centering
\includegraphics{figure_1.pdf}
\caption{Measurement of learning planning}
\label{figure_1}
\end{figure}

Learning Value Measurement is carried out using a questionnaire instrument that presents 11 answers to and 5 alternative answers and respondents are required to choose the agreed one as the answer. Thus the score is 11 as the lowest score and 55 as the highest score that can be obtained by respondents. Based on the revised score, the frequency distribution of each category can be seen in the following table:

\begin{table}[h]
\centering
\caption{Measurement of Learning Implementation}
\label{table_2}
\begin{tabular}{lllll}
Category & Range & Midpoint & Frequency & Percentage \\
Very good & 47-55 & 51 & 19 & 21.11\% \\
Well & 38-46 & 42 & 47 & 52.22\% \\
Quite good & 29-37 & 33 & 20 & 22.22\% \\
Not good & 20-28 & 24 & 4 & 4.44\% \\
Bad & 19-11 & 15 & 0 & 0.00\%
\end{tabular}
\end{table}

Based on the frequency distribution in the table above, it provides an overview of the dimensions of learning implementation with a percentage of 21.11\% learning implementation implemented very well, the percentage of 52.22\% learning implementation was carried out well, the percentage of 22.22\% was seen the implementation of
\section{In Virginia}

\begin{itemize}
\item Groups at risk:
\begin{itemize}
\item 158,522 with Pediatric Asthma
\item 517,678 Adult Asthma
\item 374,856 living with COPD
\end{itemize}
\item One failing county for Ozone (Arlington)
\item Several VA cities on ``Cleanest Cities'' list
\end{itemize}

\begin{figure}[h]
\centering
\includegraphics{figure_1.pdf}
\caption{Report Card: Virginia}
\label{figure_1}
\end{figure}
\begin{table}[h]
\centering
\caption{Control of volunteer RR 2Xtend alfalfa with dicamba, 2,4-D and glufosinate systems in no-till soybean at Rochester, MN in 2018.}
\label{table_2}
\begin{tabular}{llllcccccc}
Trt & Treatment & Rate & Appl & Jun-14-2018 & Jun-22-2018 & Jun-27-2018 & Jul-6-2018 & Jul-11-2018 & Jul-17-2018 \\
\multicolumn{10}{l}{PRE (6/4/18) / POST II (6/23/18)} \\
1 & SONIC; FLEXSTAR GT 3.5; N-PAK AMS; NIS & 6.4 oz wt/a; 3 pt/a; 2.5 \% v/v; 0.5 \% v/v & A; C; C; C & 24 d & 13 g & 78 d & 68 e & 60 c & 58 d \\
2 & SONIC; ENLIST DUO; N-PAK AMS & 6.4 oz wt/a; 75 fl oz/a; 2.5 \% v/v & A; C; C & 24 d & 13 g & 60 e & 95 abc & 98 a & 99 a \\
6 & LIBERTY 280; WARRANT ULTRA; N-PAK AMS; LIBERTY 280; N-PAK AMS & 32 fl oz/a; 3 pt/a; 2.5 \% v/v; 32 fl oz/a; 2.5 \% v/v & A; A; A; C; C & 82 c & 80 e & 96 a & 93 bcd & 92 b & 92 c \\
\multicolumn{10}{l}{PRE (6/4/18) / POST III (6/29/18)} \\
3 & SONIC; ENLIST DUO; ENLIST DUO; N-PAK AMS & 6.4 oz wt/a; 75 fl oz/a; 75 fl oz/a; 2.5 \% v/v & A; A; D; D & 87 b & 86 d & 81 c & 94 bcd & 97 a & 99 a \\
4 & ENLIST DUO; EVERPREX; 2,4-D CHOLINE SALT; LIBERTY 280; N-PAK AMS & 75 fl oz/a; 16 fl oz/a; 32 fl oz/a; 32 fl oz/a; 2.5 \% v/v & A; D; D; D; D & 88 b & 89 c & 86 b & 99 a & 99 a & 99 a \\
\multicolumn{10}{l}{PRE (6/4/18) / POST IV (7/6/18)} \\
9 & FEXAPAN; ABUNDIT EDGE; DRA; CLASS ACT RIDION; FEXAPAN; ABUNDIT EDGE; DRA; CLASS ACT RIDION & 44 fl oz/a; 32 fl oz/a; 0.5 \% v/v; 1.0 \% v/v; 22 fl oz/a; 32 fl oz/a; 0.5 \% v/v; 1.0 \% v/v & A; A; A; A; E; E; E; E & 94 a & 95 b & 95 a & 90 d & 93 b & 97 b \\
10 & SONIC; FEXAPAN; ABUNDIT EDGE; DRA; CLASS ACT RIDION; FEXAPAN; ABUNDIT EDGE; DRA; CLASS ACT RIDION & 6.4 oz wt/a; 44 fl oz/a; 32 fl oz/a; 0.5 \% v/v; 1.0 \% v/v; 22 fl oz/a; 32 fl oz/a; 0.5 \% v/v; 1.0 \% v/v & A; A; A; A; A; E; E; E; E & 94 a & 96 ab & 96 a & 92 cd & 93 b & 97 b \\
\multicolumn{10}{l}{POST I (6/15/18) / POST IV (7/6/18)} \\
5 & ENLIST DUO; N-PAK AMS; EVERPREX; 2,4-D CHOLINE SALT; LIBERTY 280; N-PAK AMS & 75 fl oz/a; 2.5 \% v/v; 16 fl oz/a; 32 fl oz/a; 32 fl oz/a; 2.5 \% v/v & B; B; E; E; E; E & 0 e & 70 f & 96 a & 99 a & 99 a & 99 a \\
7 & LIBERTY 280; N-PAK AMS; WARRANT ULTRA; LIBERTY 280; N-PAK AMS & 32 fl oz/a; 2.5 \% v/v; 3 pt/a; 32 fl oz/a; 2.5 \% v/v & B; B; E; E; E & 0 e & 97 a & 97 a & 96 ab & 99 a & 99 a \\
11 & FEXAPAN; ABUNDIT EDGE; DRA; CLASS ACT RIDION; WARRANT; FEXAPAN; ABUNDIT EDGE; DRA; CLASS ACT RIDION & 22 fl oz/a; 32 fl oz/a; 0.5 \% v/v; 1.0 \% v/v; 3 pt/a; 22 fl oz/a; 32 fl oz/a; 0.5 \% v/v; 1.0 \% v/v & B; B; B; B; E; E; E; E; E & 0 e & 70 f & 86 b & 97 ab & 98 a & 98 ab \\
\multicolumn{4}{l}{LSD P=.10} & 2.7 & 2.1 & 2.5 & 4.2 & 2.5 & 1.5 \\
\end{tabular}

Treatments 8 and 12, untreated checks, are not shown in table. Means followed by same letter or symbol do not significantly differ (P=0.10, LSD).
\end{table}
\section{Campus Map}
(coming soon)

\section{Prayer Rooms}
There will be two prayer rooms available for anyone wishing to observe religious practice onsite during event hours. Prayer rooms are located on the 2nd level of the Marriott Marquis Houston in Montgomery rooms A\&B. The Marriott Marquis Houston is attached to the George R. Brown Convention Center and can be accessed from the level 2 skybridge located north of Mezzanine A.

\section{Registration and Badging}
Please be ready to present you ID when picking up your badge. [Badges can be printed / reprinted with preferred name.]

\subsection{Check-In}
FIRST requires every Championship attendee to be registered and badged, including adult team mentors, youth team members, parents, family members, chaperones, etc. who are participating in the event. Attendee registration grants access to participant-only activities and increases the security of the event.

We strongly encourage your team to complete attendee badging prior to your arrival, as this will expedite your team's attendee badge collection and your entrance to the event.

\subsection{Consent and Release Forms}
All participating team members and volunteers must complete a current season FIRST Consent and Release form.

\subsection{Pronoun Ribbons}
Available at Central Registration and program Pit Admins.

\subsection{Registration and Badging Hours}
Central Registration Hours:

\begin{table}[h]
\centering
\begin{tabular}{lll}
Date & Open & Close \\
Tuesday, April 16, 2024 & 7:00 AM & 6:00 PM \\
Wednesday, April 17, 2024 & 6:00 AM & 8:00 PM \\
Thursday, April 18, 2024 & 7:00 AM & 6:00 PM \\
Friday, April 19, 2024 & 7:00 AM & 6:00 PM \\
Saturday, April 20, 2024 & 7:00 AM & 2:00 PM \\
\end{tabular}
\caption{Central Registration Hours}
\label{table_1}
\end{table}

Satellite Registration Hours:

\begin{table}[h]
\centering
\begin{tabular}{llll}
Date & Satellite Area & Open & Close \\
Tuesday, April 19, 2024 & FIRST Tech Challenge & 3:00 PM & 6:30 PM \\
Wednesday, April 20, 2024 & FIRST Tech Challenge & 7:00 AM & Noon \\
Wednesday, April 20, 2024 & FIRST Robotics Competition & 7:00 AM & 7:30 PM \\
Wednesday, April 20, 2023 & FIRST LEGO League Challenge & 11:00 AM & 3:00 PM \\
\end{tabular}
\caption{Satellite Registration Hours}
\label{table_2}
\end{table}
\title{Lupolen 3621 M RM}

Linear Low Density Polyethylene

\section{Product Description}
Lupolen 3621 M RM is a new generation hexene linear low density polyethylene for rotational molding. Typical customer applications include agricultural and chemical storage containers and technical parts. This product exhibits excellent ESCR and high impact strength at low temperatures. Lupolen 3621 M RM is a UV-stabilized and pelletized polymer. Tests have shown that this material is resisting against the harmful effect of biodiesel fuel*. It is not intended for use in medical and pharmaceutical applications.

* Resistance is based on our latest patented technology.

\section{Regulatory Status}
For regulatory compliance information, see Lupolen 3621 M RM Product Stewardship Bulletin (PSB) and Safety Data Sheet (SDS).

This grade is supported for use in drinking water applications.

\section{General Information}
\textbf{Status:} Commercial: Active

\textbf{Availability:} Africa-Middle East; Asia-Pacific; Europe

\textbf{Application:} Crates; Heavy Duty Packaging; Industrial; Industrial Packaging; Intermediate Bulk Containers; Tanks, Industrial

\textbf{Market:} Consumer Products; Industrial Packaging; Industrial, Building \& Construction

\textbf{Processing Method:} Rotomolding

\textbf{Attribute:} Good Processability; High ESCR (Environmental Stress Cracking Resistance); Low Temperature Impact Resistance; Low Warpage

\section{Typical Properties}
\begin{table}[h]
\centering
\begin{tabular}{llll}
Property & Nominal Value & Units & Test Method \\
\hline
\multicolumn{4}{l}{\textbf{Physical}} \\
Melt Flow Rate (190 $^{\circ}$C / 2.16 kg) & 7.5 & g/10 min & ISO 1133-1 \\
Density & 0.9355 & g/cm$^3$ & ISO 1183-1 \\
\multicolumn{4}{l}{\textbf{Mechanical}} \\
Tensile Modulus & 700 & MPa & ISO 527-1, -2 \\
Tensile Stress at Yield & 17 & MPa & ISO 527-1, -2 \\
Tensile Strain at Break & $>$450 & \% & ISO 527-1, -2 \\
Tensile Strain at Yield & 10 & \% & ISO 527-1, -2 \\
Environmental Stress Crack Resistance, F$_{50}$ & $>$1000 & hr & ASTM D1693 \\
Note: Cond. B, 10\% Arkopal N100 &  &  &  \\
FNCT (6.0 MPa, 2\% Arkopal N100, 50 $^{\circ}$C) & 15 & hr & ISO 16770 \\
\multicolumn{4}{l}{\textbf{Impact}} \\
Tensile Impact Strength & 104 & kJ/m$^2$ & ISO 8256 \\
Note: notched, type 1, method A, -30 $^{\circ}$C &  &  &  \\
\multicolumn{4}{l}{\textbf{Thermal}} \\
Vicat Softening Temperature (A/50 N) & 113 & $^{\circ}$C & ISO 306 \\
\end{tabular}
\caption{Typical properties of Lupolen 3621 M RM}
\label{table_1}
\end{table}
\begin{table}[h]
\centering
\caption{Detailed Cost Breakdown for the Last Three Months of the Reporting Period}
\label{table_B3}
\begin{tabular}{lrrrrrrrrrrrrrrrr}
\hline
GSET Task \# and Sponsor & Salary & Fringe & Travel & Subcontracts & Supplies & Publications & Contractual & Equipment & ODC & Total Direct Costs & Indirect & Total Costs (10/1/01--12/31/01) & Total Costs through 9/30/01 & Total Year to Date & Approved Budget (10/1/01--12/31/01) & Projected Costs & Balance Remaining (12/31/2001) \\
\hline
9712-21-143 Griffith & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 112000 & 0 & 112000 \\
9916-21-144 Chandra & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 8000 & 0 & 8000 \\
9912-21-145 Adler & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 56497 & 0 & 56497 \\
9912-23-146 Callahan & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 50000 & 0 & 50000 \\
9912-23-147 Smith, E. & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 40000 & 0 & 40000 \\
9902-25-148 Carter, D. & 21 & 5 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 26 & 12 & 38 & 38 & 76 & 5000 & 0 & 4924 \\
9971-26-149 Hakkinen & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 50000 & 0 & 50000 \\
\hline
Totals & 1257867 & 313670 & 74477 & 0 & 3246 & 328 & 2043 & 2500 & 1784 & 1654442 & 350541 & 2005383 & 8247666 & 10253049 & 10770214 & 0 & 617993 \\
\hline
\end{tabular}
\end{table}
\section*{Conflict of Interest Disclosures}

\subsection*{Disclosures}

\textbf{Chappell, Kathy} \\
I am a member of an advisory board for Pfizer and Merck. I receive no honoraria. Travel costs are reimbursed to employer.

\textbf{Gordon, Jennifer $\diamond$} \\
I am a member of a global educational advisory board for Pfizer and Merck-Serono.

\textbf{Grad, Roland} \\
I received honoraria from the International Centre for Evidence Based Medicine for two online modules.

\textbf{Lalla, Leonora $\diamond$} \\
I have received dividends as a minor shareholder in a medical clinic in Pierrefonds, Quebec.

\textbf{Outschoorn, Amy $\diamond$} \\
I have received compensation from industry for travel expenses only, for sitting on a board of directors for Food Allergy Canada and the Canadian Premature Babies Foundation.

\textbf{Smith, Karen} \\
I have received or will be receiving a grant or honorarium from Shire Pharmaceuticals for contributing to an investigator initiated research grant. The Queen's CPD department has received payment from commercial organizations in support of programming. I do not receive personal support or gifts.

\textbf{Sockalingam, Sanjeev} \\
I have received or will be receiving a grant or honorarium from Shire Pharmaceuticals for contributing to an investigator initiated research grant.

\textbf{Switzer, Connie $\diamond$} \\
I am a member of an advisory board for Abbvie and Merck.

\subsection*{Nothing to Declare}

Archibald, Doug \\
Black, Jessica $\diamond$ \\
Brien, Susan \\
Campbell, Craig \\
Chmielceik, John $\diamond$ \\
Daniel, Sam \\
Davis, Dave \\
Fleming, Michael $\diamond$ \\
Galioto, Riccarda $\diamond$ \\
Harvey, Janice $\diamond$ \\
Lawrence, Susanne \\
Leblanc, Connie $\diamond$ \\
Matlow, Anne \\
Mazurek, Karen $\diamond$ \\
Meuser, Jamie \\
Newton, Christie $\diamond$ \\
Parson, Bob $\diamond$ \\
Ripley, Cheryl $\diamond$ \\
Sargeant, Joan \\
Sisler, Jeff \\
Thorgeirson, Jennifer \\
Wade, Patricia $\diamond$ \\
Walton, Mark \\
Warken, Mya $\diamond$ \\
Wong, Brian \\
Woodard, Amanda $\diamond$
\begin{table}[h]
\caption{Model components and regression variable results obtained from the best-fit (first-order polynomial model) model for single-walled carbon nanotubes (SWCNTs).}
\label{table_6}
\begin{tabular}{lccc}
\hline
Independent and original variables & SE$^{a}$ & t-ratio & p-Value$^{b}$ \\
\hline
$Y_2 = \beta_1(X_1) + \beta_2(X_2) + \beta_3(X_3) + \beta_4(X_4) + \beta_0 E(\mathrm{SWCNTs}) = (-2.569)(\mathrm{pH}) - (2.024)(C_0) + (25.727)(M) + (0.199)(t) + 41.795$ \\
Solution pH ($X_1$ = pH) & 0.1872 & -13.7275 & 0.00000 \\
Initial fluoride concentration ($X_2$ = $C_0$; mg/L) & 0.2381 & -8.5018 & 0.00000 \\
Adsorbent dose ($X_3$ = $M$; g/L) & 2.3412 & 10.9888 & 0.00000 \\
Contact time ($X_4$ = $t$; min) & 0.0115 & 17.4135 & 0.00000 \\
$\beta_0$ = constant term & 1.8023 & 23.1906 & 0.00000 \\
\hline
\end{tabular}

$^{a}$ Standard error.

$^{b}$ p-Values $<0.05$ were considered to be significant.
\end{table}

The results in Table~\ref{tab:table_2} that the theoretical value of the adsorption capacity is higher for MWCNTs than SWCNTs, and this is probably due to the higher porosity of MWCNTs. The maximum adsorption capacities of MWCNTs and SWCNTs were found to be 2.83 and 2.4 mg/g, respectively. It was obvious that the MWCNT adsorbent was more effective in removing fluoride from aqueous solutions. This could be due to the complex formation with MWCNTs as referenced earlier but a more likely explanation is the higher availability of internally available adsorption sites on MWCNTs due to the different pore size diameters resulting in a larger internal available surface area than for SWCNTs \cite{43}. The adsorption of fluoride onto carbon is usually by physical adsorption and is mainly dependent on two parameters, the specific surface area and the pore size distribution. In the case of the two CNTs, the SWCNTs have a significantly larger surface area of 700 m$^2$/g but have a slightly lower maximum fluoride adsorption capacity of 2.4 mg/g. The pore entry diameter limits for the SWCNTs may account for the relatively low fluoride adsorption capacity of this 700 m$^2$/g material.

Fig.~\ref{fig:figure_4}C shows the plot of $\ln q_e$ against $\varepsilon^2$, which was almost linear with a correlation coefficient ($R^2$) of 0.864 and 0.902 for MWCNTs and SWCNTs respectively. The mean free energy evaluated using the D--R model is 0.447 kJ mol$^{-1}$ for MWCNTs and SWCNTs (Table~\ref{tab:table_2}).

\subsection{Kinetics studies}

Various kinetics models (namely, pseudo-first-order (Eq.~10), pseudo-second-order (Eq.~12) and intra-particle diffusion model) were utilized to evaluate the dynamics of adsorption process \cite{44}.

\begin{figure}[h]
\centering
\begin{subfigure}{0.9\textwidth}
\centering
\includegraphics{figure_6_1.pdf}
\end{subfigure}

\begin{subfigure}{0.9\textwidth}
\centering
\includegraphics{figure_6_2.pdf}
\end{subfigure}
\caption{(a) Agreement between the experimental data and the model outputs for MWCNTs ($R^2 = 0.913$), and (b) relationship between the proposed first-order polynomial equation ($Y_1$) and the experimental data obtained for MWCNTs.}
\label{figure_6}
\end{figure}
\title{Illuminating the inner leadership journey by engaging intention and mindfulness as guided by caring theory}
\author{Pipe TB}