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3,849 results on '"Park， Soo-Jin"'

2. Comparison of Outcomes in Bowel Resections by Gynecologic Oncologists Versus General Surgeons During Maximal Cytoreductive Surgery for Advanced Ovarian Cancer: Gynecologic Oncology Research Investigators Collaboration Study (GORILLA-3006)

Author

Kim, Myeong-Seon, Lee, A. Jin, Shim, Seung-Hyuk, Jang, Eun Bi, Kim, Nam Kyeong, Kim, Min Kyung, Suh, Dong Hoon, Kim, Jeeyeon, Son, Joo-Hyuk, Kong, Tae-Wook, Chang, Suk-Joon, Hwang, Dong Won, Park, Soo Jin, Kim, Hee Seung, Yoo, Ji Geun, Lee, Sung Jong, and Lee, Yoo-Young

Published
2024
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13. A review of ternary polymer nanocomposites containing clay and calcium carbonate and their biomedical applications

Author

Mohammadpour-Haratbar Ali, Zare Yasser, Munir Muhammad Tajammal, Rhee Kyong Yop, and Park Soo-Jin

Subjects
polymer nanocomposites, nanoclay, caco3, morphology, mechanical properties, biomedical application, Technology, Chemical technology, TP1-1185, Physical and theoretical chemistry, QD450-801
Abstract

Patchy interactions and heterogeneous charge distribution make nanoclay (NC) a promising biomaterial to interact with different biomolecules, polymers, and biological components. Many researchers have studied the polymer/clay nanocomposites in recent years. However, some deficiencies, such as poor impact strength, limit the application of polymer/clay nanocomposites in different fields. As a result, many attempts have been made to resolve this problem. Also, researchers have developed calcium carbonate (CaCO3) nanoparticles as biomedical materials. The nontoxic properties and biocompatibility of both CaCO3 and NC make their nanocomposites ideal for biomedical applications. In this article, a detailed review of the ternary polymer nanocomposites containing NC and CaCO3 is presented. The morphological, thermal, mechanical, and rheological characteristics, in addition to the modeling of behavior and foam properties, are studied in this article. In addition, the potential challenges for ternary nanocomposites and their biomedical applications are discussed.

Published
2024
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21. Contrasting effects of urban trees on air quality: From the aerodynamic effects in streets to impacts of biogenic emissions in cities

Author

Maison, Alice, Lugon, Lya, Park, Soo-Jin, Boissard, Christophe, Faucheux, Aurélien, Gros, Valérie, Kalalian, Carmen, Kim, Youngseob, Leymarie, Juliette, Petit, Jean-Eudes, Roustan, Yelva, Sanchez, Olivier, Squarcioni, Alexis, Valari, Myrto, Viatte, Camille, Vigneron, Jérémy, Tuzet, Andrée, and Sartelet, Karine

Published
2024
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35. Electrochemical micro- and nanobiosensors for in vivo reactive oxygen/nitrogen species measurement in the brain

Author

Beigloo Fatemeh, Khoshkar-Vandi Samira Amiri, Pourmand Elham, Heydari Mona, Molaabasi Fatemeh, Gharib Nima, Zare Yasser, Rhee Kyong Yop, and Park Soo-Jin

Subjects
electrochemical, biosensors, oxygen species, Technology, Chemical technology, TP1-1185, Physical and theoretical chemistry, QD450-801
Abstract

In this focused review, we examine the influence of reactive oxygen and nitrogen species (ROS/RNS) on physiological processes and the induction of oxidative stress, with particular emphasis on the brain and neuronal systems. We discuss the formation mechanisms of ROS and RNS, their significance in the brain, and various detection methods. The review investigates the latest advancements in nano-engineered electrochemical biosensors designed for in vivo monitoring of ROS and RNS in the brain tissue. We explore the electrochemical measurement of specific species, such as H2O2, superoxide, NO, and peroxynitrite, while providing a comparative evaluation of sensor designs for ROS and RNS detection in the brain. Finally, we offer an outlook and conclusion on the future of this field.

Published
2023
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41. Variable frame rate-based data augmentation to handle speaking-style variability for automatic speaker verification

Author

Afshan, Amber, Guo, Jinxi, Park, Soo Jin, Ravi, Vijay, McCree, Alan, and Alwan, Abeer

Subjects
Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Signal Processing
Abstract

The effects of speaking-style variability on automatic speaker verification were investigated using the UCLA Speaker Variability database which comprises multiple speaking styles per speaker. An x-vector/PLDA (probabilistic linear discriminant analysis) system was trained with the SRE and Switchboard databases with standard augmentation techniques and evaluated with utterances from the UCLA database. The equal error rate (EER) was low when enrollment and test utterances were of the same style (e.g., 0.98% and 0.57% for read and conversational speech, respectively), but it increased substantially when styles were mismatched between enrollment and test utterances. For instance, when enrolled with conversation utterances, the EER increased to 3.03%, 2.96% and 22.12% when tested on read, narrative, and pet-directed speech, respectively. To reduce the effect of style mismatch, we propose an entropy-based variable frame rate technique to artificially generate style-normalized representations for PLDA adaptation. The proposed system significantly improved performance. In the aforementioned conditions, the EERs improved to 2.69% (conversation -- read), 2.27% (conversation -- narrative), and 18.75% (pet-directed -- read). Overall, the proposed technique performed comparably to multi-style PLDA adaptation without the need for training data in different speaking styles per speaker., Comment: Accepted to Interspeech 2020

Published
2020

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