A5085395434- Microfluidic and Capillary Electrophoresis Applications
- Microfluidic and Bio-sensing Technologies
- Optical Polarization and Ellipsometry
- Synthesis and properties of polymers
- Electrospun Nanofibers in Biomedical Applications
- Privacy-Preserving Technologies in Data
- Traditional Chinese Medicine Studies
- Indoor and Outdoor Localization Technologies
- Blood properties and coagulation
- Epoxy Resin Curing Processes
- Tissue Engineering and Regenerative Medicine
- Electrowetting and Microfluidic Technologies
- Nanomaterials for catalytic reactions
- Coronary Interventions and Diagnostics
- Advanced Graph Neural Networks
- Central Venous Catheters and Hemodialysis
- Functional Equations Stability Results
- Advanced Energy Technologies and Civil Engineering Innovations
- Electric and Hybrid Vehicle Technologies
- Leaf Properties and Growth Measurement
- Recommender Systems and Techniques
- Adversarial Robustness in Machine Learning
- Spectroscopy Techniques in Biomedical and Chemical Research
- Microwave Imaging and Scattering Analysis
- Nanofabrication and Lithography Techniques
Chung-Ang University
2022-2024
Jeonbuk National University
2024
Yonsei University
2015-2024
Korea Institute of Science and Technology
2024
Gachon University Gil Medical Center
2024
Gachon University
2024
University of Florida
2024
Western Digital (United States)
2024
Seoul National University Hospital
2023
Hanyang University
2021-2022
Stretching and folding, diffusion, breakup are three basic processes that occur while mixing fluids. Although stretching folding the interface of two fluids by rotation enables at microscale level in both low high Reynolds number flows, is not as effective a number. Therefore, developing rapid micromixer for microfluidic systems can be used challenging task, because it demonstrate full potential commercial markets. Here, to enhance efficiency based on passive rotation, we present method. The...
Plants produce a myriad of specialized metabolites to overcome their sessile habit and combat biotic as well abiotic stresses. Evolution has shaped the diversity metabolites, which then drives many other aspects plant biodiversity. However, until recently, large-scale studies investigating in an evolutionary context have been limited by impossibility identifying chemical structures hundreds thousands compounds time-feasible manner. Here we introduce workflow for large-scale, semi-automated...
In this letter, we propose a novel model weight update method that accounts for the reliability of local clients in FL-based indoor localization. FL shows degraded localization performance than centralized learning because non-independent and identically distributed (non-IID) data configuration. Thus, aim to improve by applying clients, which is quantified uncertainty models. Bayesian models provide framework capturing but usually requires substantial computational cost as well, particularly...
Long-term and fine-grained maritime localization sensing is challenging due to sporadic connectivity, constrained power budget, limited footprint, hostile environment. In this paper, we present the design considerations implementation of
With advances in diffusion models, image generation has shown significant performance improvements. This raises concerns about the potential abuse of generation, such as creation explicit or violent images, commonly referred to Not Safe For Work (NSFW) content. To address this, Stable Diffusion model includes several safety checkers censor initial text prompts and final output images generated from model. However, recent research that these have vulnerabilities against adversarial attacks,...
Localization and tracking of objects using data-driven methods is a popular topic due to the complexity in characterizing physics wireless channel propagation models. In these modeling approaches, data needs be gathered accurately train models, at same time that user's privacy maintained. An appealing scheme cooperatively achieve goals known as Federated Learning (FL). A challenge FL schemes presence non-independent identically distributed (non-IID) data, caused by unevenly exploration...
Neural networks with self-attention (a.k.a. Transformers) like ViT and Swin have emerged as a better alternative to traditional convolutional neural (CNNs). However, our understanding of how the new architecture works is still limited. In this paper, we focus on phenomenon that Transformers show higher robustness against corruptions than CNNs, while not being overconfident. This contrary intuition increases confidence. We resolve contradiction by empirically investigating output penultimate...
The cervix plays a crucial role in conception, maintenance of pregnancy, and childbirth. mechanical properties pregnant woman's change dramatically during gestation due to remodeling its microstructure, necessary for delivery. However, external factors can accelerate this process lead prematurity, the primary cause perinatal mortality worldwide, inefficiency existing diagnostic methods. This study shows that polarized light is powerful tool probe cervical microstructure pregnancy. A...
Eight new compounds (1-8), including five acylphloroglucinolated catechins (1-5) and three phenylethyl isocoumarin glycosides (6-8), were isolated from Agrimonia pilosa along with six other known (9-14). The characterized structurally by NMR, MS, ECD analyses. Compounds 4 5 assigned as procyanidin derivatives, which are described for the first time Nature. absolute configuration of compound 8 was elucidated computational analysis its spectrum. evaluated their inhibitory activity against...
Background: Suicide is the leading cause of death among adolescents in South Korea. Negative influences abuse energy drinks on mental health problems have emerged. Aims: This study aimed to analyze relationship between drink consumption, depression and suicide ideation. Methods: We analyzed data 26,346 boys 26,966 girls who participated 2015 Korean Youth Risk Behavior Web-Based Survey. The independent variable was frequency consumption per week. Experience ideation were considered as...
For over fifty years since carbon fiber-reinforced polymers (CFRPs) were introduced to the automotive industry, enhancing their flame-retardant properties has been studied due vulnerability fire. Coating is one method of enhancement achieved by modifying surface characteristic achieve its goal. Phenolic resin-based coatings, as a candidate material, offer advantages such good chemical compatibility and cost efficiency. However, meet necessary specifications for performance, thick coating...
This paper presents a novel method for an on-chip erythrocyte deformability test under optical pressure, especially to enhance the level of sensitivity with respect detection cancerous diseases. To demonstrate performance and combined method, we introduce concept transit velocity, modified elongation index, shape recovery time individual erythrocytes in strictly confined region (2 µm deep, 4 wide, 100 long). Finally, investigate synergy or convergence effect due combination these parameters...
It is well established that the cortico-striato-thalamo-cortical (CSTC) circuit implicated in pathophysiology of obsessive- compulsive disorder (OCD). However, reports on corticostriatal functional connectivity (FC) OCD have been inconsistent due to structural and heterogeneity striatum. Therefore, present study, we investigated FC using a fine 12-seed striatal parcellation overcome this discover neural correlates symptoms patients.We recruited 23 patients healthy controls (HCs). Whole-brain...
Mesenchymal stem-cell (MSC)-based therapies have been recognized as promising strategies for the treatment of various injuries or diseases because their unique characteristics, such self-renewal, differentiation potential, and secretion bioactive molecules. However, MSC transplantation often results in low efficacy, including a cell viability loss therapeutic activity. Alternatively, spheroids studied to improve activity MSCs. Also, microencapsulation cells can protect retain from harsh...
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