Fixed typo

Author: liampond

lab_members/masters/liam_pond/index.html

@@ -173,7 +173,7 @@ <h4 class="lab_member_subtitles">Publications </h4>
               <li>Saini, Vinay, Liam Pond, Jackson Uhryn, Albert Kalayil, Aditya Tomar, Kasimuthumaniyan Subramanian, Milana Trifkovic, and Philip Egberts. 2025. “Shear-Dependent Tribological Behavior of Oleic Acid as a Sustainable Lubricant Additive in Oils and Nano-Greases.” Wear: 205932. <a style="font-size: 16px; padding-top: 1px; margin-bottom: 16px;" href="https://doi.org/10.1016/j.wear.2025.205932" target="_blank" rel="noopener noreferrer">https://doi.org/10.1016/j.wear.2025.205932</a>.</li>
               <li>Burt, Lauren A., Liam T. Pond, Annabel R. Bugbird, David A. Hanley, and Steven K. Boyd. 2025. “Canadian Adult Reference Data for Body Composition, Trabecular Bone Score and Advanced Hip Analysis Using DXA.” Journal of Clinical Densitometry 28 (1): 101535. <a style="font-size: 16px; padding-top: 1px; margin-bottom: 16px;" href="https://doi.org/10.1016/j.jocd.2024.101535" target="_blank" rel="noopener noreferrer">https://doi.org/10.1016/j.jocd.2024.101535</a>.</li>
               <li>Abid, Noor, Liam Pond, and Svetlana Yanushkevich. 2024. “Causality Exploration in Modeling Engineering Student Satisfaction.” In Proceedings of the 2024 IEEE Global Engineering Education Conference (EDUCON), 1–10. Kos, Greece. <a style="font-size: 16px; padding-top: 1px; margin-bottom: 16px;" href="https://doi.org/10.1109/EDUCON60312.2024.10578860" target="_blank" rel="noopener noreferrer">https://doi.org/10.1109/EDUCON60312.2024.10578860</a>.</li>
-              <li>Anzum, Fahim, Ashratuz Zavin Asha, Lily Dey, Artemy Gavrilov, Fariha Iffath, Abu Quwsar Ohi, Liam Pond, Md Shopon, and Marina L. Gavrilova. 2024. “A Comprehensive Review of Trustworthy, Ethical, and Explainable Computer Vision Advancements in Online Social Media.” In Global Perspectives on the Applications of Computer Vision in Cybersecurity, edited by Franklin Tchakounté and Marcellin Atemkeng, 1¬–46. Hershey, PA: IGI Global. <a style="font-size: 16px; padding-top: 1px; margin-bottom: 16px;" href="https://doi.org/10.4018/978-1-6684-8127-1.ch001" target="_blank" rel="noopener noreferrer">https://doi.org/10.4018/978-1-6684-8127-1.ch001</a>.</li>
+              <li>Anzum, Fahim, Ashratuz Zavin Asha, Lily Dey, Artemy Gavrilov, Fariha Iffath, Abu Quwsar Ohi, Liam Pond, Md Shopon, and Marina L. Gavrilova. 2024. “A Comprehensive Review of Trustworthy, Ethical, and Explainable Computer Vision Advancements in Online Social Media.” In Global Perspectives on the Applications of Computer Vision in Cybersecurity, edited by Franklin Tchakounté and Marcellin Atemkeng, 1–46. Hershey, PA: IGI Global. <a style="font-size: 16px; padding-top: 1px; margin-bottom: 16px;" href="https://doi.org/10.4018/978-1-6684-8127-1.ch001" target="_blank" rel="noopener noreferrer">https://doi.org/10.4018/978-1-6684-8127-1.ch001</a>.</li>
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