Sung Jin Lee

Abstract This study introduces the educational assistant robots that we developed for foreign language learning and explores the effectiveness of robot-assisted language learning (RALL) which is in its early stages. To achieve this purpose, a course was designed in which students have meaningful interactions with intelligent robots in an immersive environment. A total of 24 elementary students, ranging in age from ten to twelve, were enrolled in English lessons. A pre-test/post-test design was u

Three neuronal pentraxins are expressed in brain, the membrane-bound "neuronal pentraxin receptor" (NPR) and the secreted proteins NP1 and NARP (i.e., NP2). Neuronal pentraxins bind to AMPARs at excitatory synapses and play important, well-documented roles in the activity-dependent regulation of neural circuits via this binding activity. However, it is unknown whether neuronal pentraxins perform roles in synapses beyond modulating postsynaptic AMPAR-dependent plasticity, and whether they may eve

Aged or damaged RBCs are effectively removed from the blood circulation by Kupffer cells in the liver, but little is known regarding the mechanism of the clearance process. Here we show that stabilin-1 and stabilin-2 in hepatic sinusoidal endothelial cells (HSECs) are critical in effectively clearing damaged RBCs in mouse liver. Damaged RBCs and phosphatidylserine (PS)-coated beads were effectively sequestered in the hepatic sinusoid regardless of the presence of Kupffer cells, suggesting a role

Papain, bromelain, and ficin are commonly used plant proteases used for meat tenderization. Other plant proteases explored for meat tenderization are actinidin, zingibain, and cucumin. The application of plant crude extracts or powders containing higher levels of compounds exerting tenderizing effects is also gaining popularity due to lower cost, improved sensory attributes of meat, and the presence of bioactive compounds exerting additional benefits in addition to tenderization, such as antioxi

Sungjin Lee, Qi Zhu, Ryuichi Takanobu, Zheng Zhang, Yaoqin Zhang, Xiang Li, Jinchao Li, Baolin Peng, Xiujun Li, Minlie Huang, Jianfeng Gao. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations. 2019.

Selective cell death of dopaminergic neurons in the substantia nigra is the major cause of Parkinson disease. Current evidence suggests that this cell death could be mediated by nitric oxide by-products such as nitrate and peroxynitrite. Because protein kinase C (PKC)-delta is implicated in apoptosis of various cell types, we studied its roles and activation mechanisms in nitric oxide (NO)-induced apoptosis of SN4741 dopaminergic cells. When cells were treated with sodium nitroprusside (SNP), a

Nipah and Hendra viruses are deadly zoonotic paramyxoviruses with a case fatality rate of upto 75%. The viruses belong to the genus henipavirus in the family Paramyxoviridae, a family of negative-sense single-stranded RNA viruses. The natural reservoirs of NiV and HeV are bats (flying foxes) in which the virus infection is asymptomatic. The intermediate hosts for NiV and HeV are swine and equine, respectively. In humans, NiV infections result in severe and often fatal respiratory and neurologica

Meat analogs have opened a new horizon of opportunities for developing a sustainable alternative for meat and meat products. Proteins are an integral part of meat analogs and their functionalities have been extensively studied to mimic meat-like appearance and texture. Proteins have a vital role in imparting texture, nutritive value, and organoleptic attributes to meat analogs. Processing of suitable proteins from vegetable, mycoproteins, algal, and single-cell protein sources remains a challeng

Many dialog state tracking algorithms have been limited to generative modeling due to the influence of the Partially Observable Markov Decision Process framework. Recent analyses, however, raised fundamental questions on the effectiveness of the generative formulation. In this paper, we present a structured discriminative model for dialog state tracking as an alternative. Unlike generative models, the proposed method affords the incorporation of features without having to consider dependencies b

Conversational agents such as Alexa and Google Assistant constantly need to increase their language understanding capabilities by adding new domains. A massive amount of labeled data is required for training each new domain. While domain adaptation approaches alleviate the annotation cost, prior approaches suffer from increased training time and suboptimal concept alignments. To tackle this, we introduce a novel Zero-Shot Adaptive Transfer method for slot tagging that utilizes the slot descripti

For robust spoken conversational interaction, many dialog state tracking algorithms have been developed. Few studies, however, have reported the strengths and weaknesses of each method. The Dialog State Tracking Challenge (DSTC) is designed to address this issue by comparing various methods on the same domain. In this paper, we present a set of techniques that build a robust dialog state tracker with high performance: wide-coverage and well-calibrated data selection, feature-rich discriminative

This study examined the antiviral activity of the root of Paeonia lactiflora PALL. Among the solvent fractions of the crude drug, the ethyl acetate fraction showed anti-hepatitis B virus (HBV) activity (IC50, 8.1 microg/ml) in an HBV-producing HepG2.2.15 cell culture system. The active anti-HBV principle was isolated and identified as 1,2,3,4,6-penta-O-galloyl-beta-D-glucose (PGG) from the crude drug by activity-guided fractionation. PGG isolated from P. lactiflora was examined for the inhibitio