A5019934607- Advanced Memory and Neural Computing
- Histone Deacetylase Inhibitors Research
- Neuroscience and Neural Engineering
- Biosensors and Analytical Detection
- SARS-CoV-2 detection and testing
- Semiconductor materials and devices
- Smart Materials for Construction
- Advanced Optical Imaging Technologies
- Protein Degradation and Inhibitors
- Genomics, phytochemicals, and oxidative stress
- Advanced biosensing and bioanalysis techniques
- 3D IC and TSV technologies
- Ferroelectric and Negative Capacitance Devices
- Traffic and Road Safety
- EEG and Brain-Computer Interfaces
- Ecology and Conservation Studies
- CCD and CMOS Imaging Sensors
- 3D Surveying and Cultural Heritage
- Click Chemistry and Applications
- Agriculture and Farm Safety
- Synthetic Organic Chemistry Methods
- Hydrology and Sediment Transport Processes
- Image and Video Stabilization
- Tryptophan and brain disorders
- Hydraulic flow and structures
Samsung (South Korea)
2019-2024
University of Leeds
2024
Sungkyunkwan University
2020-2023
Seoul National University Dental Hospital
2023
Seoul National University
2006-2022
Gangneung–Wonju National University
2022
University of Toronto
2015-2021
Texas Department of Transportation
2019-2020
Chungbuk National University
2015-2018
Ajou University
2017
Evolution of supramolecular chirality from self-assembly achiral compounds and control over its handedness is closely related to the evolution life development materials with desired handedness. Here we report a system where entire process induction, locking can be manipulated by light. Combination triphenylamine diacetylene moieties in molecular structure allows photoinduced molecule into helical aggregates chlorinated solvent visible light covalent fixation aggregate via...
Inorganic nanoparticles are ideal precursors for engineering barcodes rapidly detecting diseases. Despite advances in the chemical design of these barcodes, they have not advanced to clinical use because lack sensitivity and cost-effective due requirement a large read-out system. Here we combined recent quantum dot barcode technology with smartphones isothermal amplification engineer simple low-cost chip-based wireless multiplex diagnostic device. We characterized analytical performance this...
There has been a major focus on the clinical translation of emerging technologies for diagnosing patients with infectious diseases, cancer, heart disease, and diabetes. However, most developments still remain at academic stage where researchers use spiked target molecules to demonstrate utility technology assess analytical performance. This approach does not account biological complexities variabilities human patient samples. As matures potentially becomes clinically viable, one important...
The rapid and accurate detection of antimicrobial resistance is critical to limiting the spread infections delivering effective treatments. Here, we developed a rapid, sensitive, simple colorimetric nanodiagnostic platform identify disease-causing pathogens their associated antibiotic genes within 2 h. can detect bacteria from different biological samples (i.e., blood, wound swabs) with or without culturing. We validated multicomponent nucleic acid enzyme-gold nanoparticle (MNAzyme-GNP) by...
Scope Brain‐derived neurotrophic factor (BDNF) is a neurotrophin that supports the survival of existing neurons and encourages growth differentiation new synapses. We investigated effect sulforaphane, hydrolysis product glucoraphanin present in Brassica vegetables, on neuronal BDNF expression its synaptic signaling pathways. Methods results Mouse primary cortical triple‐transgenic mouse model Alzheimer's disease (3 × Tg‐AD) were used to study sulforaphane. Sulforaphane enhanced increased...
Scope Sulforaphane is an herbal isothiocyanate enriched in cruciferous vegetables. Here, the authors investigate whether sulforaphane modulates production of amyloid‐β (Aβ) and tau, two main pathological factors Alzheimer's disease (AD). Methods results A triple transgenic mouse model AD (3 × Tg‐AD) used to study effect sulforaphane. Oral gavage reduces protein levels monomeric polymeric forms Aβ as well tau phosphorylated 3 Tg‐AD mice. However, treatment do not affect mRNA expression...
We describe the current difference in reporting performance of nanotechnology diagnostic devices between technologists and clinicians. This perspective specifies "metrics" used to evaluate these describes strategies bridge gap two communities order accelerate translation from academic bench clinic. use recently published ACS Nano articles highlight evaluation silicon nanowire surface-enhanced Raman spectroscopy-breath tests for patients afflicted with cancer asthma. These studies represent...
For the first time, a comprehensive guideline is proposed for gate stack design of ferroelectric vertical NAND (Fe-VNAND), based on in-depth analytical modeling and experiments. Based guideline, metal-insulator-ferroelectric (FE)-insulator-silicon (MIFIS) has been demonstrated, showcasing its benefits in all three aspects reliability (endurance, retention, disturb characteristics) potential wide memory window (MW, 5.5 V above), as well compatibility VNAND processes.
Patients infected with SARS‐CoV‐2 and influenza display similar symptoms, but treatment requirements are different. Clinicians need to accurately distinguish from provide appropriate treatment. Here, the authors develope a color‐based technique differentiate between patients A using nucleic acid enzyme‐gold nanoparticle (GNP) molecular test requiring minimal equipment. The MNAzyme GNP probes designed be robust viral mutations. Conserved regions of genomes targeted, two MNAzymes created for...
Histone deacetylases (HDAC) are currently a group of validated targets for anticancer drug discovery and development. In our research program to find novel small molecules targeting these enzymes, we designed synthesized two series 3-hydroxyimino-2-oxoindoline- 3- methoxyimino-2-oxoindoline-based N-hydroxypropenamides (3a-g, 6a-g). The results show that propenamides potently inhibited HDAC2 with IC50 values in sub-micromolar range, approximately 10-fold lower than SAHA (also known as...
Acquisition of stabilized video is an important issue for various type digital cameras. This paper presents adaptive camera path estimation method using robust feature detection to remove shaky artifacts in a video. The proposed algorithm consists three steps: (i) particle keypoints between adjacent frames; (ii) and smoothing; (iii) rendering reconstruct As result, the can estimate optimal homography by redefining points flat region keypoints. In addition, frames with less holes be generated...
To prevent collapse accidents at construction sites, the marker-based displacement measurement method was developed. However, it has difficulty in obtaining accurate measurements long distances (>50 m) an outdoor environment because of camera movements. overcome this problem, structural models using image matching and anomaly detection were designed study. Then, performance each model terms movement error correction verified through comparison with that a conventional model. The results show...
Histone deacetylases (HDAC) enzymes are emerging as potential targets for cancer treatments. In this study, several series of novel hydroxamic acids incorporating 1-((1H- 1,2,3-triazol-4-yl)methyl)-3-substituted-2-oxoindolines were explored.The compounds designed using Autodock Vina program, then synthesized and evaluated in vitro silico their inhibitory activity against HDACs. The cytotoxicity was measured by SRB method. enzyme effects the fluorescent assay.Biological evaluation showed that...
Read-After-Write-Delay (RAWD) is an important show-stopper (S.S) in ferroelectric based VNAND (Fe-VNAND) because the read speed fundamentally limited by neutralization time of trapped charges between layer and interfacial oxide layer. We investigated RAWD (t <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">RAWD</inf> ) Metal-Ferro-Insulator-Silicon (MFIS) gate stack extended analysis to Laminate-MFIS (LaMFIS), which are candidate for achieving...
This study aims to improve the accuracy of bathymetry predicted by gravity-geologic method (GGM) using optimal machine learning model selected from techniques. In this study, several techniques were utilized determine performance depth and gravity anomalies. addition, a tuning density contrast calculated satellite altimetry-derived free-air anomalies (FAGAs) was applied estimate enhanced bathymetry. By comparison with shipborne depth, estimated FAGAs evaluated. The findings reveal that...