A5071633988- Radiation Detection and Scintillator Technologies
- Biosensors and Analytical Detection
- Advanced biosensing and bioanalysis techniques
- Advanced Neural Network Applications
- Nuclear Physics and Applications
- SARS-CoV-2 detection and testing
- Domain Adaptation and Few-Shot Learning
- Advanced Photocatalysis Techniques
- Atomic and Subatomic Physics Research
- Diverse Approaches in Healthcare and Education Studies
- bioluminescence and chemiluminescence research
- Musculoskeletal pain and rehabilitation
- Spinal Cord Injury Research
- Lower Extremity Biomechanics and Pathologies
- Stroke Rehabilitation and Recovery
- Medical Imaging Techniques and Applications
- Foot and Ankle Surgery
- Nanoplatforms for cancer theranostics
- Engineering Applied Research
- Muscle activation and electromyography studies
- Radioactive contamination and transfer
- Advanced Image and Video Retrieval Techniques
- Ergonomics and Musculoskeletal Disorders
- Health and Wellbeing Research
- Full-Duplex Wireless Communications
Seoul National University of Education
2024-2025
Chung-Ang University
2021-2024
Kyungpook National University
2024
Max Planck Institute for Polymer Research
2022-2024
Pusan National University Hospital
2024
Daegu Gyeongbuk Institute of Science and Technology
2019-2023
Naver (South Korea)
2022
Seoul National University
2020-2022
Massachusetts Institute of Technology
2018-2022
Kyung Hee University Dental Hospital
2022
We introduce a novel unsupervised domain adaptation approach for object detection. aim to alleviate the imperfect translation problem of pixel-level adaptations, and source-biased discriminativity feature-level adaptations simultaneously. Our is composed two stages, i.e., Domain Diversification (DD) Multi-domain-invariant Representation Learning (MRL). At DD stage, we diversify distribution labeled data by generating various distinctive shifted domains from source domain. MRL apply...
Abstract A system-level framework of complex microbe–microbe and host–microbe chemical cross-talk would help elucidate the role our gut microbiota in health disease. Here we report a literature-curated interspecies network human microbiota, called NJS16. This is an extensive data resource composed ∼570 microbial species 3 cell types metabolically interacting through >4,400 small-molecule transport macromolecule degradation events. Based on contents network, develop mathematical approach...
Deep learning-based object detectors have shown remarkable improvements. However, supervised methods perform poorly when the train data and test different distributions. To address issue, domain adaptation transfers knowledge from label-sufficient (source domain) to label-scarce (target domain). Self-training is one of powerful ways achieve since it helps class-wise adaptation. Unfortunately, a naive approach that utilizes pseudo-labels as ground-truth degenerates performance due incorrect...
Abstract Dental age estimation of living individuals is difficult and challenging, there no consensus method in adults with permanent dentition. Thus, we aimed to provide an accurate robust artificial intelligence (AI)-based diagnostic system for age-group by incorporating a convolutional neural network (CNN) using dental X-ray image patches the first molars extracted via panoramic radiography. The data set consisted four molar images from right left sides maxilla mandible each 1586 across...
Thesedays, Convolutional Neural Networks are widely used in semantic segmentation. However, since CNN-based segmentation networks produce low-resolution outputs with rich information, it is inevitable that spatial details (e.g., small objects and fine boundary information) of results will be lost. To address this problem, motivated by a variational approach to image (i.e., level set theory), we propose novel loss function called the which designed refine results. deal multiple classes an...
This review summarizes various radical polymerization chemistries for amplifying biodetection signals and compares them from the practical point of view.
Rapid and inexpensive serological tests for severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) antibodies are essential to conduct large-scale seroprevalence surveys can potentially complement nucleic acid or antigen at the point of care. During COVID-19 pandemic, extreme demand traditional lateral flow has stressed manufacturing capacity supply chains. Motivated by this limitation, we developed a SARS-CoV-2 antibody test using cellulose, an alternative membrane material,...
This study investigated the usefulness of deep learning-based automatic detection anterior disc displacement (ADD) from magnetic resonance imaging (MRI) patients with temporomandibular joint disorder (TMD). Sagittal MRI images 2520 TMJs were collected 861 men and 399 women (average age 37.33 ± 18.83 years). A learning algorithm a convolutional neural network was developed. Data augmentation Adam optimizer applied to reduce risk overfitting deep-learning model. The prediction performances...
Particle size is a critical factor for improving photocatalytic reactivity of conjugated microporous polymers (CMPs) as mass transfer in the porous materials often rate-limiting step. However, due to synthetic challenge controlling CMPs, impact particle yet be investigated. To address this problem, simple and versatile dispersion polymerization route that can synthesize dispersible CMP nanoparticles with controlled from 15 180 nm proposed. Leveraging precise control size, it demonstrated...
Lithium (Li) metal is recognized as a promising anode material for rechargeable batteries primarily due to its high specific capacity and energy density. However, major challenge persists in uncontrolled Li electrodeposition irregular solid electrolyte interphase (SEI) formation during cycling, leading premature cell failure safety hazards. Herein, an artificial SEI presented with tailored lithiophilicity solvent-phobicity address these critical issues. As model system the SEI, series of...
Despite the numerous applications of eosin Y as an organic photoredox catalyst, substantial mechanistic aspects process have remained elusive. Through deductive, steady-state kinetic studies, we first propose a mechanism for alkaline, aqueous catalysis using Y, triethanolamine, and oxygen, integrating photo- nonphotochemical steps. The cycle begins with single-electron transfer (SET) induced when absorbs green light. This photoinduced SET leads to formation metastable radical trianion that...
Neutralizing antibodies (NAbs) prevent pathogens from infecting host cells. Detection of SARS-CoV-2 NAbs is critical to evaluate herd immunity and monitor vaccine efficacy against SARS-CoV-2, the virus that causes COVID-19. All currently available NAb tests are lab-based time-intensive.We develop a 10 min cellulose pull-down test detect human plasma. The evaluates ability disrupt ACE2 receptor-RBD complex formation. simple, portable, rapid testing process relies on two key technologies: (i)...
Substrate accessibility is a key limiting factor for the efficiency of heterogeneous photoredox catalysis. Recently, high photoactive surface area conjugated microporous polymer nanoparticles (CMP NPs) has made them promising candidates overcoming mass transfer limitation to achieve photocatalytic efficiency. However, this potential not been realized due limited dispersibility CMP NPs in many solvents, particularly water. Here, we report grafting strategy that furnishes versatile hairy with...
A ground-state complex between eosin and <italic>N</italic>-vinylpyrrolidone impacts the photo-initiated synthesis of PEG hydrogels.
The ongoing COVID-19 pandemic has clearly established how vital rapid, widely accessible diagnostic tests are in controlling infectious diseases and difficult slow it is to scale existing technologies. Here, we demonstrate the use of rapid affinity pair identification via directed selection (RAPIDS) method discover multiple pairs for SARS-CoV-2 nucleocapsid protein (N-protein), a biomarker COVID-19, from vitro libraries 10 weeks. with highest sensitivity was then integrated into min,...
Herein, the synthesis of M( ii ) (M = Co, Cu, Zn, and Cd) complexes with morpholine-derived ligand is described that has shown significant urease inhibition, along promising antioxidant anticancer potential.
Polymerization-based signal amplification (PBA) is a material-based approach to improving the sensitivity of paper-based diagnostic tests. Eosin Y used as an assay label photo-initiate free-radical polymerization produce colored hydrogels in presence target analytes captured by bioactive paper. PBA achieves high-contrast and time-independent signals, but its nanomolar detection limit makes it impractical for early diagnosis many diseases. In this work, we demonstrated efficient localization...
Exponential molecular amplification such as the polymerase chain reaction is a powerful tool that allows ultrasensitive biodetection. Here, we report new exponential strategy based on photoredox autocatalysis, where eosin Y, photocatalyst, amplifies itself by activating nonfluorescent Y derivative (EYH3-) under green light. The deactivated photocatalyst stable and rapidly activated low-intensity light, making suitable for resource-limited settings. Through steady-state kinetic studies...
The purpose of this study was to investigate the kinematic and kinetic changes that may occur in pelvic spine regions during cross-legged sitting postures. Experiments were performed on sixteen healthy subjects. Data collected while subject sat 4 different postures for 5 seconds: uncrossed with both feet floor (Posture A), placing his right knee left B), by ankle C), over D). order posture random. sagittal plane angles (pelvic tilt, lumbar A-P curve, thoracic curve) frontal obliquity, lumber...