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172 results on '"Yang, Heejin"'

22. Nanocrystal Formulation to Enhance Oral Absorption of Silybin: Preparation, In Vitro Evaluations, and Pharmacokinetic Evaluations in Rats and Healthy Human Subjects.

Author

Seo, SeungRee, Kim, Gwan-Young, Kim, Min-Hwan, Lee, Kyung Won, Kim, Min-Jae, Chaudhary, Mansingh, Bikram, Khadka, Kim, Taeheon, Choi, Seungmok, Yang, Heejin, Park, Joo Won, Kim, Dae-Duk, and Kim, Ki-Taek

Subjects
MILK thistle, SURFACE morphology, IN vivo studies, BIOAVAILABILITY, RAW materials
Abstract

Despite the various therapeutic benefits and high tolerance of orally administered silybin, poor water-solubility can be the main restrictive physicochemical feature, which results in low oral bioavailability in the absorption. A milk thistle nanocrystal formulation (HM40) was prepared using a modified wet-milling method. Comprehensive characterization was performed to determine the physical morphology, crystallinity, and physicochemical properties. The long-term stability was evaluated over 24 months. In vitro silybin release was assessed at pH 1.2 for 2 h, followed by pH 6.8 for 4 h. Finally, in vivo pharmacokinetic studies were conducted in rats and healthy human volunteers. HM40 exhibited a nanocrystal structure maintaining crystallinity and enhanced the solubility and dissolution of silybin compared to that of the raw material. The stability over 24 months revealed consistent surface morphology, particle size, silybin content, and solubility. In vitro release profiles indicated a significant increase in the silybin release from HM40. In vivo pharmacokinetic studies demonstrated that HM40 showed 2.61- and 1.51-fold higher oral bioavailability in rats and humans, respectively, than that of the reference capsule. HM40 formulation presents a stable and promising approach for the oral delivery of poorly water-soluble silybin, with the potential for use in pharmaceutical formulations containing milk thistle. [ABSTRACT FROM AUTHOR]

Published
2024
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31. A 1.5-μW Fully-Integrated Keyword Spotting SoC in 28-nm CMOS With Skip-RNN and Fast-Settling Analog Frontend for Adaptive Frame Skipping

Author

Yang, Heejin, Seol, Ji-Hwan, Rothe, Rohit, Fan, Zichen, Zhang, Qirui, Kim, Hun-Seok, Blaauw, David, and Sylvester, Dennis

Abstract

We propose a fully integrated low-power keyword spotting (KWS) system on chip (SoC) with content-adaptive frame subsampling, implemented in 28-nm CMOS technology. The system is co-optimized from end-to-end including the analog frontend (AFE) and digital backend with a skip-recurrent neural network (RNN) KWS algorithm. The SoC performs dynamic power gating based on the decision from the skip-RNN algorithm that allows opportunistic frame skipping to reduce the power consumption without compromising the KWS accuracy. The design employs a fast-stabilizing AFE, enabling fast OFF to ON transitions with a settling time of less than 1 ms. A low-power feature extractor (FE) and RNN classifier sprint with a relatively fast clock to minimize the latency of the frame-skipping decision and to minimize the leakage power overhead. The SoC integrates a custom-designed latch-based always-on ON-chip memory to reduce leakage power to store all RNN weights on the chip. The proposed system achieves 1.48 $\mu \text{W}$ with an average of 76% skip ratio across frames, achieving 92.8% accuracy on a 7-class subset of the GSCD dataset. This work represents a significant step toward a low-power KWS SoC with content-adaptive frame subsampling for energy-efficient, deep-learning-enabled Internet-of-Things (IoT) devices.

Published
2024
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38. Direct and Regioselective Palladium(II)-Catalyzed B(4)–H Monoacyloxylation and B(4,5)–H Diacetoxylation of o-Carborane Acids with Phenyliodonium Dicarboxylates

Author

Ham, Hyeongcheol, primary, Shin, Seohyun, additional, Ko, Gi Hoon, additional, Han, Sang Hoon, additional, Han, Gi Uk, additional, Maeng, Chanyoung, additional, Kim, Tae Hyeon, additional, Noh, Hee Chan, additional, Lee, Kyungsup, additional, Kim, Hanjoong, additional, Yang, Heejin, additional, and Lee, Phil Ho, additional

Published
2021
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42. Intraday option price changes and net buying pressure.

Author

Ryu, Doojin and Yang, Heejin

Subjects
PURCHASING, MICROSTRUCTURE, HYPOTHESIS, OPTIONS (Finance)
Abstract

We re-examine the effect of net buying pressure on options-implied volatility changes by analysing ultra-high-frequency microstructure data. Intraday relationships between option price dynamics and investors' net demand are explained by the direction-learning hypothesis. [ABSTRACT FROM AUTHOR]

Published
2022
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