A5070848861- Advanced biosensing and bioanalysis techniques
- AI-based Problem Solving and Planning
- Reinforcement Learning in Robotics
- Human Pose and Action Recognition
- Lipid metabolism and biosynthesis
- Liver Disease Diagnosis and Treatment
- Robotic Path Planning Algorithms
- Adipose Tissue and Metabolism
- Nanocluster Synthesis and Applications
- Evolutionary Algorithms and Applications
- Robot Manipulation and Learning
- Extracellular vesicles in disease
- Gold and Silver Nanoparticles Synthesis and Applications
- Bayesian Modeling and Causal Inference
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Hand Gesture Recognition Systems
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Neural dynamics and brain function
- RNA modifications and cancer
- Smart Parking Systems Research
- Fibroblast Growth Factor Research
- Semantic Web and Ontologies
- Social Robot Interaction and HRI
- Kruppel-like factors research
Dong-A University
2016-2023
Kyung Hee University
2021
Konkuk University
2018-2020
Government of the Republic of Korea
2019
Konkuk University Medical Center
2019
Hanyang University
2010-2018
Bio-Medical Science (South Korea)
2018
Electronics and Telecommunications Research Institute
2005
Graduate School USA
2004
Extracellular vesicles (EVs) are membrane-bound phospholipid actively secreted by all cells. As they carry specific markers expressed their parental cells, EVs utilized to identify cells via liquid biopsy. To facilitate EV-based clinical diagnosis, a fast and reliable method count is critical. We developed for rapid cost-effective quantification of which relies on the fluorescence polarization (FP) detection lipophilic fluorescein probe, 5-dodecanoylamino (C12-FAM). The alkyl tail C12-FAM...
Bisphenol A (BPA) is used in a wide variety of consumer products owing to its beneficial properties optical clarity, shatter resistance, and heat resistance. However, leached BPA has been shown disturb the endocrine system could cause cancer even at low concentrations, which led public concern. To reduce toxic effects caused by BPA, it important monitor levels presence simple, rapid, on-site manner. Here, we propose new colorimetric strategy for simple rapid detection employing DNA aptamer,...
Free fatty acids (FFAs), which are elevated with metabolic syndrome, considered the principal offender exerting lipotoxicity. Few previous studies have reported a causal relationship between FFAs and osteoarthritis pathogenesis. However, molecular mechanism by exert lipotoxicity induce remains largely unknown. We here observed that oleate at usual clinical range does not while high pathological ranges exerted through apoptosis in articular chondrocytes. By investigating differential effect...
Nonalcoholic fatty liver disease (NAFLD) is an increasingly studied condition that can progress to end-stage disease. Although NAFLD was first described in 1980, a complete understanding of the mechanism and causes this still lacking. Six-transmembrane protein prostate 2 (STAMP2) plays role integrating inflammatory nutritional signals with metabolism. Our previous study suggested STAMP2 may be suitable target for treating NAFLD. In current study, we performed focused drug-screening found...
Although previous studies have shown that the administration of fibroblast growth factor 21 (FGF21) reverses hepatic steatosis, mechanism by which FGF21 exerts a therapeutic effect on nonalcoholic fatty liver disease (NAFLD) is not yet entirely understood. We previously demonstrated six transmembrane protein prostate 2 (STAMP2) may represent suitable target for NAFLD. investigated underlying recombinant NAFLD, focusing involvement STAMP2. In this study, we used human steatosis patient...
For effective human-robot interaction, a robot should be able to make prediction about future circumstance. This enables the generate preparative behaviors reduce waiting time, thereby greatly improving quality of interaction. In this paper, we propose novel probabilistic temporal method for proactive interaction that is based on Bayesian network approach. our proposed method, conditional probabilities events can explicitly represented by defining nodes in network. Utilizing these nodes,...
Hepatic iron overload (HIO) is a hallmark of nonalcoholic fatty liver disease (NAFLD) with poor prognosis. Recently, the role hepatic erythrophagocytosis in NAFLD emerging as cause HIO. We undertook various assays using human patient pathology samples and an vivo steatohepatitis (NASH) mouse model named STAMTM. To make vitro conditions comparable to those NASH model, red blood cells (RBCs) platelets were suspended subjected metabolic inflammatory stresses. An insert-coculture system, which...
By utilizing melamine as an external stimulus, bright and stable DNA-templated silver nanoclusters are synthesized, their superior antimicrobial properties also demonstrated.
A new method has been developed for the simple, fluorescence, turn-on detection of melamine, which utilizes DNA-templated silver nanoclusters (DNA-AgNCs) as a key component. In sensor, melamine exhibits dual functions: one is to enhance fluorescence signal DNA-AgNCs by its specific interaction with thymine residues in DNA template, and other prevent Hg(II)-induced quenching via strong coordination Hg(II). These consequently enable sensitive selective melamine. By exploiting such novel...
A new strategy to detect cancer-related mutation was devised based on target-initiated rolling circle amplification combined with fluorescence polarization signaling.
For a robot to interact with person effectively, it needs predict future events that will be caused by the occur. By predicting events, can take some preparative actions reduce waiting time and greatly improve interaction. To select best proactive times for those actions, we propose hybrid temporal influence diagram make plans minimize expected in human-robot validate our proposed method, show experimental results robotic assistant manual assembly task.
A simple, sequence-specific DNA detection method, utilizing a fluorescent 2-aminopurine (2-AP) nucleobase analogue-containing split G-quadruplex as the key component, is described. In sensor, 2-AP-containing into two segments and linked to target-specific overhang sequence. The separate sequences form an active structure only in presence of complementary target DNA, which leads significant increase intensity fluorescence from 2-AP fluorophore. This one-step, homogenous assay was successfully...
In this paper, we propose a proactive assistant robot for human assembly tasks. order to predict future events of activities such as requesting parts assembly, use the temporal Bayesian network that can infer both causal probability and distribution an conditional event. Based on model task, also show make human-robot-interaction quickly by prediction
Reinforcement learning (RL) has been widely used as a mechanism of an artificial life system. However, RL usually suffers from slow convergence to the optimum state-action sequence or stimulus-response (SR) behaviors, and may not correctly work in non-Markov processes. In this paper, first, cope with slow-convergence problem, if some pairs are considered disturbance for sequence, then they be eliminated long-term memory (LTM), where such disturbances found by shortest path-finding algorithm....
The two most important abilities for a robot to survive in given environment are selecting and learning the appropriate actions situation. Historically, they have also been biggest problems robotics. To help solve this problem, we propose two-layered action selection mechanism (ASM) which designates an pattern layer reactive behavior plan layer. In layer, task is selected by comparing motivation values that, animal, correspond external stimuli as well internal states due hormones. After...
In this paper, we have proposed a probabilistic tourist trip-planning method considering time-dependent satisfaction and constraints. The constraints are modeled as random variables in the hybrid temporal Bayesian network. Moreover, relationships among various factors based on network, so that conditional probabilities of can be inferred. To find best itinerary maximizing expected under constraints, constraint version genetic algorithms is employed.
Abstract Introduction: Microvascular invasion (MVI) is a well-known prognostic factor in predicting cancer relapse after curative resection of resectable hepatocellular carcinoma (HCC).Therefore, there clear unmet need for precision strategy based on cancer-specific multi-omics features to predict the MVI feature at initial diagnosis HCC. Methods: Using gene expression profiling resected human HCC (Discovery cohort, n=240), we identified transcriptomic signature feature. Comprehensive...