A5101609790- Crystallization and Solubility Studies
- Analytical Chemistry and Chromatography
- Recommender Systems and Techniques
- Drug Solubulity and Delivery Systems
- Pharmacological Effects of Natural Compounds
- Chemical and Physical Properties in Aqueous Solutions
- Topic Modeling
- Soil Mechanics and Vehicle Dynamics
- Sentiment Analysis and Opinion Mining
- Advanced Machining and Optimization Techniques
- Muscle activation and electromyography studies
- Phase Equilibria and Thermodynamics
- Microencapsulation and Drying Processes
- Sirtuins and Resveratrol in Medicine
- Lignin and Wood Chemistry
- Vehicle Dynamics and Control Systems
- Tea Polyphenols and Effects
- Multimodal Machine Learning Applications
- Advanced Graph Neural Networks
- Stroke Rehabilitation and Recovery
- Prosthetics and Rehabilitation Robotics
- Machine Learning in Healthcare
- Technology and Data Analysis
- TGF-β signaling in diseases
- Advanced machining processes and optimization
Pusan National University
2019-2025
Sookmyung Women's University
2022-2024
Korea Institute of Industrial Technology
2024
Naver (South Korea)
2021-2023
Pukyong National University
2023
Search (Poland)
2021
Konkuk University
2021
Dankook University
2021
Boseop Kim, HyoungSeok Sang-Woo Lee, Gichang Donghyun Kwak, Jeon Dong Hyeon, Sunghyun Park, Sungju Seonhoon Dongpil Seo, Heungsub Minyoung Jeong, Sungjae Minsub Suk Hyun Ko, Seokhun Taeyong Jinuk Soyoung Kang, Na-Hyeon Ryu, Kang Min Yoo, Minsuk Chang, Soobin Suh, Sookyo In, Jinseong Kyungduk Hiun Jisu Yong Goo Yeo, Donghoon Ham, Dongju Young Jaewook Inho Jung-Woo Ha, Woomyoung Nako Sung. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 2021.
We introduce HyperCLOVA X, a family of large language models (LLMs) tailored to the Korean and culture, along with competitive capabilities in English, math, coding. X was trained on balanced mix Korean, code data, followed by instruction-tuning high-quality human-annotated datasets while abiding strict safety guidelines reflecting our commitment responsible AI. The model is evaluated across various benchmarks, including comprehensive reasoning, knowledge, commonsense, factuality, coding,...
The aim of this study was to prepare pure trans-resveratrol nanoparticles without additives (surfactants, polymers, and sugars) using a supercritical antisolvent (SAS) process with alcohol (methanol or ethanol) dichloromethane mixtures. In addition, in order investigate the effect particle size on dissolution oral bioavailability trans-resveratrol, two microparticles different sizes (1.94 μm 18.75 μm) were prepared milling processes, compared by SAS process. solid-state properties particles...
Recent advancement of large-scale pretrained models such as BERT, GPT-3, CLIP, and Gopher, has shown astonishing achievements across various task domains. Unlike vision recognition language models, studies on general-purpose user representation at scale still remain underexplored. Here we explore the possibility learning by training a universal encoder large scales. We demonstrate that scaling law is present in areas, where error scales power-law with amount computation. Our Contrastive...
In this study, an amorphous solid dispersion containing the poorly water-soluble drug, bisacodyl, was prepared by hot-melt extrusion to enhance its therapeutic efficacy. First, miscibility and interaction between drug polymer were investigated as pre-formulation strategies using various analytical approaches obtain information for selecting a suitable polymer. Based on calculation of Hansen solubility parameter identification single glass transition temperature (Tg), bisacodyl all polymers...
To utilize the chemical application of lignin (LN), a decomposition reaction was carried out to cleave bonds. Indeed, liquefaction process is essential for use achieve uniform and maximize utility lignin. this end, hydroxyl radicals were adopted as powerful oxidation agent, FT-IR results confirmed cleavage ether linkages. Additionally, water solubility LN significantly increased after decomposition, dissolution levels up 0.5 g·mL–1 obtained. Using these high properties in water, NMR DLS...
During non-small cell lung cancer (NSCLC) progression, transforming growth factor (TGF)-β mediated epithelial-to-mesenchymal transition (EMT) is an important process leading to high mortality and poor prognosis. The EMT a fundamental for morphogenesis characterized by the transformation of cells into invasive forms that can be transferred other organs during human progression. Gefitinib, epidermal receptor (EGFR) inhibitor, has shown anti-proliferative effects in EGFR-mutated NSCLC...
General-purpose representation learning through large-scale pre-training has shown promising results in the various machine fields. For an e-commerce domain, objective of general-purpose, i.e., one for all, representations would be efficient applications extensive downstream tasks such as user profiling, targeting, and recommendation tasks. In this paper, we systematically compare generalizability two strategies, transfer proposed model, ShopperBERT, vs. from scratch. ShopperBERT learns nine...
Recently, the interest of graph representation learning has been rapidly increasing in recommender systems. However, most existing studies have focused on improving accuracy, but real-world systems, recommendation diversity should be considered as well to improve user experiences. In this paper, we propose diversity-emphasized node embedding div2vec, which is a random walk-based unsupervised method like DeepWalk and node2vec. When generating walks, node2vec sample nodes higher degree more...
This study presents a methodology to prevent the overdesign of electric dispensers for dental impression materials by analyzing necessary load and determining appropriate pressurization speed drive motor capacity. We derived an equation calculate required torque rotational based on extrusion material. A specialized measurement system was developed measure extrude Through experiments image processing, we measured radius curvature trajectory material correlated it with speed. Techniques such...
Lifitegrast is an effective treatment for dry eye disease, reducing inflammation and improving the ocular surface condition. Owing to its high sensitivity oxidation hydrolysis, formulation studies are required maintain physicochemical stability of lifitegrast. This study aimed overcome instability lifitegrast by developing a more stable eyedrop using citric acid tromethamine prevent degradation